Skip to main content
Advertisement
  • Loading metrics

Hydrogen sulfide (H2S) coordinates redox balance, carbon metabolism, and mitochondrial bioenergetics to suppress SARS-CoV-2 infection

  • Ragini Agrawal,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Validation, Writing – original draft, Writing – review & editing

    Affiliations Department of Microbiology and Cell Biology, Indian Institute of Science, Bengaluru, Karnataka, India, Centre for Infectious Disease Research, Indian Institute of Science, Bengaluru, Karnataka, India, Department of Aging Research, Manipal School of Life Sciences, Manipal Academy of Higher Education, Udupi, Karnataka, India

  • Virender Kumar Pal,

    Roles Formal analysis, Methodology, Writing – review & editing

    Affiliations Department of Microbiology and Cell Biology, Indian Institute of Science, Bengaluru, Karnataka, India, Centre for Infectious Disease Research, Indian Institute of Science, Bengaluru, Karnataka, India

  • Suhas K.S.,

    Roles Formal analysis, Methodology, Writing – review & editing

    Affiliations Department of Microbiology and Cell Biology, Indian Institute of Science, Bengaluru, Karnataka, India, Centre for Infectious Disease Research, Indian Institute of Science, Bengaluru, Karnataka, India

  • Gopika Jayan Menon,

    Roles Formal analysis, Methodology, Writing – review & editing

    Affiliations Department of Microbiology and Cell Biology, Indian Institute of Science, Bengaluru, Karnataka, India, Centre for Infectious Disease Research, Indian Institute of Science, Bengaluru, Karnataka, India

  • Inder Raj Singh,

    Roles Formal analysis, Software, Writing – review & editing

    Affiliation National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bengaluru, Karnataka, India

  • Nitish Malhotra,

    Roles Formal analysis, Software, Writing – review & editing

    Affiliation National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bengaluru, Karnataka, India

  • Naren C.S.,

    Roles Formal analysis, Software, Writing – review & editing

    Affiliation Department of Biochemistry, Indian Institute of Science, Bengaluru, Karnataka, India

  • Kailash Ganesh,

    Roles Formal analysis, Software, Writing – review & editing

    Affiliation Department of Aging Research, Manipal School of Life Sciences, Manipal Academy of Higher Education, Udupi, Karnataka, India

  • Raju S. Rajmani,

    Roles Formal analysis, Methodology, Writing – review & editing

    Affiliation Molecular Biophysics Unit, Indian Institute of Science, Bengaluru, Karnataka, India

  • Aswin Sai Narain Seshasayee,

    Roles Formal analysis, Software, Writing – review & editing

    Affiliation National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bengaluru, Karnataka, India

  • Nagasuma Chandra,

    Roles Formal analysis, Software, Writing – review & editing

    Affiliation Department of Biochemistry, Indian Institute of Science, Bengaluru, Karnataka, India

  • Manjunath B. Joshi ,

    Roles Software, Supervision, Writing – review & editing

    manjunath.joshi@manipal.edu (MBJ); asingh@iisc.ac.in (AS)

    Affiliation Department of Aging Research, Manipal School of Life Sciences, Manipal Academy of Higher Education, Udupi, Karnataka, India

  • Amit Singh

    Roles Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing

    manjunath.joshi@manipal.edu (MBJ); asingh@iisc.ac.in (AS)

    Affiliations Department of Microbiology and Cell Biology, Indian Institute of Science, Bengaluru, Karnataka, India, Centre for Infectious Disease Research, Indian Institute of Science, Bengaluru, Karnataka, India

Abstract

Viruses modulate various aspects of host physiology, including carbon metabolism, redox balance, and mitochondrial bioenergetics to acquire the building blocks for replication and regulation of the immune response. Understanding how SARS-CoV-2 alters the host metabolism may lead to treatments for COVID-19. We report that a ubiquitous gaseous molecule, hydrogen sulfide (H2S), regulates redox, metabolism, and mitochondrial bioenergetics to control SARS-CoV-2. Virus replication is associated with down-regulation of the H2S-producing enzymes cystathionine-β-synthase (CBS), cystathionine-γ-lyase (CTH), and 3-mercaptopyruvate sulfurtransferase (3-MST) in multiple cell lines and nasopharyngeal swabs of symptomatic COVID-19 patients. Consequently, SARS-CoV-2-infected cells showed diminished endogenous H2S levels and a protein modification (S-sulfhydration) caused by H2S. Genetic silencing or chemical inhibition of CTH resulted in SARS-CoV-2 proliferation. Chemical supplementation of H2S using a slow-releasing H2S donor, GYY4137, diminished virus replication. Using a redox biosensor, metabolomics, transcriptomics, and XF-flux analyzer, we showed that GYY4137 blocked SARS-CoV-2 replication by inducing the Nrf2/Keap1 pathway, restoring redox balance and carbon metabolites and potentiating mitochondrial oxidative phosphorylation. Treatment of SARS-CoV-2-infected mice or hamsters with GYY4137 suppressed viral replication and ameliorated lung pathology. GYY4137 treatment reduced the expression of inflammatory cytokines and re-established the expression of Nrf2-dependent antioxidant genes in the lungs of SARS-CoV-2-infected mice. Notably, non-invasive measurement of respiratory functions using unrestrained whole-body plethysmography (uWBP) of SARS-CoV-2-infected mice showed improved pulmonary function variables, including pulmonary obstruction (Penh), end-expiratory pause (EEP), and relaxation time (RT) upon GYY4137 treatment. Together, our findings significantly extend our understanding of H2S-mediated regulation of viral infections and open new avenues for investigating the pathogenic mechanisms and therapeutic opportunities for coronavirus-associated disorders.

Authors summary

Comprehensive knowledge of SARS-CoV-2 biology is needed to understand the mechanisms of SARS-CoV-2-induced disease and to develop strategies to control COVID-19. Several RNA viruses can modulate host redox homeostasis, carbon metabolism, and mitochondrial bioenergetics to enhance their replication through diverse mechanisms. Despite enormous efforts, the mechanisms and pathways explored by SARS-CoV-2 to support its replication within host cells are still largely unknown. We demonstrate that H2S gas participates in the modulation of SARS-CoV-2 infection by suppressing virus replication. SARS-CoV-2 infection decreased the expression of key proteins involved in H2S biogenesis, and the amount of H2S produced intracellularly. Interestingly, inhibition of H2S biogenesis promotes virus replication, and a pharmacological H2S donor (GYY4137) reduces SARS-CoV-2 replication and restores pulmonary function in animal models. Our systematic mechanistic dissection of the role of H2S in cellular bioenergetics, redox metabolism, and virus replication unifies many previous phenomena associated with various viral infections, including COVID-19.

Introduction

Coronavirus 2019 disease (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), emerged as a major global emergency with 776,798,873 confirmed cases of COVID-19 reported, including 7,074,400 deaths in 2020–2024 (https://data.who.int/dashboards/covid19/cases). While COVID-19 is now declared a non-concerning disease by world health organization (WHO), the continuous emergence of SARS-CoV-2 variants underscores the importance of mechanistic understanding of disease biology and the continuing need for effective therapies. One approach is to focus on host-generated gaseous signalling molecules, such as nitric oxide (NO), carbon monoxide (CO), and hydrogen sulfide (H2S). They modulate the immune response, inflammation, carbon metabolism, redox homeostasis, and bioenergetics of immune cells, thereby influencing viral infections [14]. For example, studies have revealed the antiviral role of NO and its beneficial effects in treating clinical complications of COVID-19 patients [57]. Additionally, the CO-producing enzyme hemeoxygenase-1 (HO-1) suppresses SARS-CoV-2 replication by increasing interferons (IFNs) [8]. Furthermore, inducing HO-1 expression controls inflammation and coagulopathies in COVID-19 [8]. Despite the clinical evidence linking lower serum levels of H2S with increased COVID-19 disease severity and death [9], the systematic understanding of the antiviral effect of H2S remains circumstantial and poorly understood.

H2S is synthesized by diverse organisms, including mammals and bacteria, primarily via cystathionine-beta-synthase (CBS), cystathionine-gamma-lyase (CSE/CTH), and cysteine-aminotransferase (CAT)–3-mercaptopyruvate sulfurtransferase (3-MST). These enzymes are known to metabolize methionine and cysteine to form H2S [2,10]. Biochemically, H2S is a lipophilic molecule that rapidly crosses the cell membrane, dissociates into HS- and S2-, and maintains an HS-:H2S ratio of 3:1 at physiological pH [2,10]. Regulated production of H2S positively influences the function of immune cells by maintaining redox balance, stimulating mitochondrial bioenergetics, and reversing systemic inflammation; these H2S-specific physiological changes are important for SARS-CoV-2 multiplication [1012]. SARS-CoV-2 strongly inhibits host mitochondrial oxidative phosphorylation (OXPHOS), resulting in an increase in production of mitochondrial reactive oxygen species (mROS) [13]. Importantly, mROS stabilizes HIF-1α, which redirects the flow of carbon metabolites away from the TCA cycle through glycolysis/Pentose phosphate pathway (PPP), to provide substrates for viral multiplication [13].

We expect that the beneficial effect of H2S mitigation of oxidative stress and revamping of mitochondrial OXPHOS counteracts viral biogenesis and propagation. Indeed, H2S significantly attenuates replication of several respiratory viruses and virus-induced inflammation [2,14]. It has also been suggested that H2S interferes with SARS-CoV-2 entry into host cells by modulating the expression of angiotensin-converting enzyme 2 (ACE2) and transmembrane protease serine 2 (TMPRSS2) [15,16]. Additionally, perturbations in endogenous H2S levels are linked to cardiac disorder, metabolic syndrome, and lung failure, each of which is a risk factor for developing severe forms of COVID-19. Moreover, inhalation of H2S reduces symptoms and promotes recovery in COVID-19 patients [17]. Together, these results suggest that H2S is likely to counteract the pathogenesis of SARS-CoV-2. However, the mechanistic underpinnings of H2S-mediated regulation of SARS-CoV-2 replication and therapeutic potential of slow-releasing H2S compounds for SARS-CoV-2 infection have yet to be explored.

We hypothesize that intracellular levels of H2S modulate SARS-CoV-2 infection by regulating redox balance, mitochondrial bioenergetics, and inflammation. To test this idea, the present work examined SARS-CoV-2 infection using in-vitro (cell line-based) and in-vivo (mice and hamsters) infection models. We also used biochemical and genetic approaches to investigate the functional link between H2S and SARS-CoV-2 replication. Finally, we used RNA-sequencing, untargeted metabolomics, and real-time extracellular flux analysis to examine the role of H2S in mediating SARS-CoV-2 replication by regulating gene expression, redox metabolism, and mitochondrial bioenergetics.

Results

Diminished biogenesis of endogenous H2S during SARS-CoV-2 infection

To examine the association between SARS-CoV-2 infection and H2S, we measured the expression of cbs, cth, and mst, genes involved in endogenous H2S production [2,18](Fig 1A). We infected Vero C1008 clone E6 (VeroE6) cells, Angiotensin-converting enzyme 2-expressing HEK293T (HEK-ACE2) cells, and cultured human airway epithelial cells (Calu-3) cell lines with two SARS-CoV-2 strains (Hong Kong/VM20001061/2020 [HK] and B. 1.617. 2 [Delta]) and measured expression using RT-qPCR. First, we confirmed virus proliferation by measuring SARS-CoV-2 nucleocapsid (n) gene transcript. Virus-infected cell lines uniformly showed time- and MOI (multiplicity of infection)-dependent increase in the expression of n gene (Fig 1B). Infected VeroE6 cells also exhibited a time- and MOI-dependent decrease in mRNA expression from cbs and mst (Fig 1C and 1E). The cth transcript remained below the detection level using RT-qPCR (> 32 Ct value), but RNA-sequence data, described later, confirmed down-regulation of cth (Fig 1D). We did not observe difference in the magnitude of downregulation induced by HK compared to Delta variants (Fig 1C and 1E). As with VeroE6, infection of Calu-3 with SARS-CoV-2-HK reduced expression of cbs and mst at each time point tested (S1A Fig). Expression of cth was down-regulated only at 48 h pi and was followed by a recovery response at 72 h pi (S1A Fig). With HEK-ACE2 cells, SARS-CoV-2-HK infection uniformly suppressed expression of cbs, cth, and mst (S1B Fig). Consistent with the transcript data, CBS, CTH, and MST protein levels were down-regulated during SARS-CoV-2-HK infection of HEK-ACE2 cells (S1C Fig), indicating reduced H2S biogenesis during infection.

thumbnail
Fig 1. Diminished biogenesis of endogenous H2S during SARS-CoV-2 infection:

(A) Schematic showing H2S producing enzymes in mammalian cells. (B) VeroE6 cells were infected with SARS-CoV-2 and n gene transcript was measured at the indicated times; solid bars = SARS-CoV-2-HK, hatched bars = SARS-CoV-2-Delta. (C) Time-dependent changes in expression of cbs and mst during SARS-CoV-2-HK replication in VeroE6 cells. (D) Transcript counts of cth upon SARS-CoV-2-HK infection in VeroE6 cells at 48 h pi by RNA-seq. (E) Time-dependent changes in expression of cbs and mst during SARS-CoV-2-Delta replication in VeroE6 cells. (F) VeroE6 cells were infected with SARS-CoV-2-HK. Endogenous H2S levels were measured at 48 h pi by lead acetate assay (InDen- Integrated density). (G) Total cellular persulfide levels as measured by the ProPerDP method (UI- Uninfected; I- Infected). (H) cth, cbs and mst gene expression by RT-qPCR from nasopharyngeal swab samples of COVID-19 positive and negative individuals. Each dot represents an individual patient sample (n > 10). Results are expressed as mean ± standard deviation; representative of data from two independent experiments, performed thrice. *, p < 0.05; **, p < 0.01; ***; p < 0.001, ****, p < 0.0001, ns = non-significant either by two-way ANOVA with Dunnett’s multiple comparison test (C,E) or student’s t test with Welch’s correction (D,F,H). (See also S1 Fig). Fig 1A graphic created in Biorender https://BioRender.com/ttos191.

https://doi.org/10.1371/journal.ppat.1013164.g001

We next measured cellular generation of H2S using a lead acetate assay [19]. As with expression data, infection by SARS-CoV-2-HK reduced H2S levels in lysates of VeroE6 cells (Fig 1F). Since H2S mediates its effect through S-persulfidation (RSSH) of specific cysteine residues on proteins [20], we assessed the cellular levels of S-persulfidation using a protein persulfide detection protocol (ProPerDp) [21]. SARS-CoV-2-HK-infected VeroE6 cells showed a marginal but uniform reduction in cellular S-persulfidated proteins relative to uninfected cells (Fig 1G), thus reinforcing the idea that virus infection reduces H2S biogenesis.

We also examined the possible clinical relevance of the gene expression findings by measuring expression of cth, cbs, and mst in the RNA derived from nasopharyngeal swabs of symptomatic COVID-19 patients. A significant decrease in the expression of cbs and cth was observed relative to samples from patients uninfected with SARS-CoV-2 but displaying respiratory distress due to other complications (Fig 1H). Overall, the data indicate that SARS-CoV-2 infection is associated with diminished biogenesis of endogenous H2S.

H2S suppresses SARS-CoV-2 proliferation

Since a reduction in endogenous H2S is associated with SARS-CoV-2 replication, we asked whether perturbation of endogenous H2S levels can regulate SARS-CoV-2 proliferation (Fig 2A). When we depleted endogenous CTH levels in VeroE6 cells using RNA interference (RNAi), the short hairpin RNA (shRNA) specific for CTH (Vero-shCTH) silenced expression of CTH by ~60% relative to results with scrambled shRNA (Vero-shScr) (Fig 2B). We infected Vero-shCTH and Vero-shSCR with SARS-CoV-2-HK and investigated the effect of CTH suppression by measuring n gene transcript in the cell supernatant at 8 and 24 h post-infection (p.i). We found that expression of the SARS-CoV-2 n gene in Vero-shCTH increased by 14- and 10-fold at 8 h (p = 0.057) and 24 h p.i (p= 0.009), respectively, compared to Vero-shScr (Fig 2B). As an additional test, we suppressed endogenous H2S production by treating VeroE6 cells with D,L-propargylglycine (PAG), a widely used selective inhibitor of CTH (Fig 2A) [22]. We found a uniform increase in n gene expression, which indicated elevated virus multiplication at 8 and 24 h post-treatment (Fig 2C). We also reduced expression of CBS and MST by RNAi (S2A and S2B Fig) and assessed the expression of virus transcript. The reduction of MST marginally increased virus multiplication, whereas CBS silencing either did not influence or marginally reduced virus replication (S2C Fig).

thumbnail
Fig 2. H2S suppresses SARS-CoV-2 proliferation:

(A) Schematic of the H2S inhibitors and donors used in the study.(B) Genetic silencing of CTH was achieved in VeroE6 cells by lentiviral vectors, confirmed by western blotting and quantified by densitometric analysis using Image Lab software, followed by infection with 0.01 MOI of SARS-CoV-2-HK; virus replication was measured by RT-qPCR at indicated time intervals. (C) Endogenous H2S production was suppressed by treating VeroE6 cells with 20 mM PAG, as confirmed by lead acetate assay, and subsequently infected with 0.01 MOI of SARS-CoV-2-HK; virus replication was measured by RT-qPCR at indicated time intervals (InDen- Intergrated density). (D) VeroE6 cells were treated with H2S donors (NaHS, GYY4137 or Na-GYY4137) and media supernatant was harvested to assess H2S production by methylene blue assay over time. (E) VeroE6, HEK-ACE2 and Calu-3 cells pre-treated with 5 mM GYY4137 or Na-GYY4137 for 4 h were infected with SARS-CoV-2. Virus replication was measured by RT-qPCR at 48 h pi; Solid bars = SARS-CoV-2-HK, hatched bars = SARS-CoV-2-Delta. (F) Representative culture well images of SARS-CoV-2-HK infected VeroE6 and Calu-3 cells in presence or absence of 5 mM GYY4137 or Na-GYY4137 at 48 h pi and 72 h pi, respectively. Results are expressed as mean ± standard deviation; representative of data from two independent experiments, performed thrice. *, p < 0.05; **, p < 0.01; ***, p < 0.001; ****, p < 0.0001, ns = non-significant, either by two-way ANOVA with Dunnett’s multiple comparison test (B,C) or one-way ANOVA with Welch’s correction (E). (See also S2 Fig). Fig 2A graphic created in Biorender, https://BioRender.com/zhpdqda.

https://doi.org/10.1371/journal.ppat.1013164.g002

Having shown that diminished levels of endogenous H2S are associated with virus proliferation, we next asked whether elevating H2S levels, using the small-molecule H2S donors P-(4- Methoxyphenyl)-P-4-morpholinyl-phosphinodithionic (GYY4137) and GYY4137 sodium salt (Na-GYY4137) (Fig 2A), suppresses SARS-CoV-2. GYY4137/Na-GYY4137 are established H2S donors that generate a low, sustained amount of H2S over a prolonged period, to mimic endogenous H2S production [23,24]. Na-GYY4137 is devoid of potential off-target effects associated with the use of dichloromethane-complexed GYY4137 morpholine salt form. Since H2S release is slow by these donors, the final concentration of H2S released is usually much lower than the initial concentration of GYY4137. We confirmed this by quantifying H2S release in VeroE6 cells treated with 5 mM of GYY4137 and Na-GYY4137 using a methylene blue colorimetric assay [25]. As a control, we exposed VeroE6 cells to 5 mM NaHS, which rapidly releases a high amount of H2S [26] and has been recently shown to be ineffective in suppressing SARS-CoV-2 replication [27]. Expectedly, NaHS completely released H2S within 15 min of treatment (Fig 2D). In contrast, GYY4137 donors consistently released ~600–700 μM of H2S for the entire 48-h duration of the experiment (Fig 2D). Cytotoxicity assays revealed that 5 mM of GYY4137 donors did not elicit lethality in VeroE6 cells (S2D Fig).

We systematically examined the effect of GYY4137 donors on SARS-CoV-2 infection using multiple models. VeroE6, HEK-ACE2 and Calu-3 cells, pre-treated with 5 mM of GYY4137 or Na-GYY4137 for 4 h, were infected with SARS-CoV-2-HK for 1 h at an MOI of 0.01 or 0.1. At 48 h pi, viral load was measured in the cell supernatant by RT-qPCR and plaque assay. An ~ 100- to 1000-fold reduction in n gene expression was observed upon treatment with GYY4137 or Na-GYY4137 (Fig 2E). Consistent with this finding, a plaque assay showed a significant reduction in the titre of infectious virions upon treatment with GYY4137 or Na-GYY4137 (S2E Fig). As with the HK variant, GYY4137 uniformly suppressed multiplication of the Delta variant in VeroE6 and HEK-ACE2 cells (Fig 2E). As expected from RT-qPCR and plaque assay data, GYY4137 and Na-GYY4137 pre-treatment significantly protected VeroE6 and Calu-3 cells from virus-induced cell death, as evident in cell culture images (Fig 2F).

Since we have pre-treated cells with the H2S donors, the suppression of virus multiplication could also be due to interference with the virus entry. Treatment with H2S donors is known to alter virus receptors such as ACE2 and TMPRSS2 expression in atherosclerosis, hypertension, and cancer [15,28,29]. We examined the expression of ace2 and tmprss2 in VeroE6 cells. As shown in S2F Fig, SARS-CoV-2 infection uniformly suppressed ace2 expression in an MOI and time-dependent manner. However, treatment with GYY4137 did not influence ace2 expression in the SARS-CoV-2 infected or uninfected VeroE6 cells (S2F Fig). TMPRSS2 expression is previously reported undetected in VeroE6 cells [30], which we confirmed by RT-qPCR assay in our experiments. Similarly, infection of Calu-3 cells resulted in a marginal down-regulation of ace2 and tmprss2, which was not affected upon treatment with GYY4137 (S2G Fig). We further examined if GYY4137 affects virus entry, by first infecting VeroE6 cells with SARS-CoV-2 at a higher MOI of 3 for 1 h and then exposed to 5 mM of GYY4137. As a control, we pre-treated VeroE6 cells with GYY4137 and continued the treatment throughout the experiment. The expression of n gene was measured at 8 h post-infection (S2H Fig). Consistent with our earlier data, pre-treatment + continued treatment (Full time) resulted in ~ 300-fold reduction in n gene transcript compared to untreated samples. Although to a lesser extent, post-entry treatment with GYY4137 resulted in an ~ 40-fold decrease in n gene copy number than untreated cells. As an additional verification, we co-incubated VeroE6 cells with GYY4137 and SARS-CoV-2 virus for 1 h during the internalization phase. This was followed by washing both the virus and the H2S donor, and the measurement of n gene expression at 8 h p.i. An ~ 80-fold reduction in the n gene expression compared to untreated control was observed (S2H Fig). Therefore it appears that GYY4137 inhibits virus proliferation by targeting mechanisms associated with internalization and post-infection multiplication. Overall, these data establish that elevated levels of endogenous H2S suppress virus multiplication.

GYY4137 modulates expression of the Nrf2/Keap1 regulon during SARS-CoV-2 infection

To dissect the mechanism of GYY4137-mediated suppression of SARS-CoV-2 proliferation, we performed RNA-sequencing (RNA-seq) of poly(A) RNA from infected VeroE6 cells with and without 5 mM of GYY4137 treatment at 48 h pi. The transcriptional response of SARS-CoV-2-HK-infected VeroE6 cells showed differential expression (DE) of ~8600 genes compared to uninfected VeroE6 cells (fold change [FC] >1.5; false discovery rate [FDR] <0.1) (Fig 3B). Principal component analysis (PCA) clearly distinguished the transcriptome of the infected sample from that of the uninfected control (Fig 3A). When we performed functional analysis using KEGG pathway enrichment, the host transcriptional response to SARS-CoV-2 infection separated the response into three major components: energy metabolism, redox metabolism, and cytokine-related transcriptional regulation centred around TNFα, RIG-1, and NF-κB signalling pathways (Fig 3C and 3D).

thumbnail
Fig 3. GYY4137 modulates the expression of Nrf2/Keap-1 regulon during SARS-CoV-2 infection:

(A) PCA analysis plot of gene expression in uninfected and SARS-CoV-2-HK infection in the presence or absence of 5 mM GYY4137. (B) Volcano plot visualizing differential expression between uninfected and infected samples. (C,D) KEGG terms mapping on differentially expressed genes for SARS-CoV-2-HK infection. Heat maps indicate the fold change in infected cells with respect to uninfected cells. (E) Nrf2 levels were measured by immunoblotting from VeroE6 cells infected with SARS-CoV-2-HK, and quantified by densitometric analysis using Image Lab software. (F) Volcano plot visualizing differential expression between infected samples in presence and absence of 5 mM GYY4137. (G,H) KEGG terms mapping on differentially expressed genes for GYY4137 treatment upon SARS-CoV-2-HK infection. (I) Heat maps of Nrf2 responsive genes indicating the fold change in infected and GYY4137 treated cells with respect to uninfected cells. (J) RT-qPCR analysis of Nrf2 responsive genes from VeroE6 cells infected with SARS-CoV-2 (solid bars = SARS-CoV-2-HK, hatched bars = SARS-CoV-2-Delta) for 48 h, in the presence or absence of 5 mM GYY4137. Results are expressed as mean ± standard deviation; representative of data from two independent experiments, performed thrice. **, p < 0.01; ***, p < 0.001; ****, p < 0.0001, by one-way ANOVA with multiple comparison using Tukey’s method (J). (See also S3 Fig).

https://doi.org/10.1371/journal.ppat.1013164.g003

During infection with viruses, cellular detection of virus proliferation is mainly mediated by a family of intracellular pattern-recognition receptors (PRRs) that sense anomalous RNA structures generated during virus replication [31]. Among these, retinoic acid-inducible gene I (RIG-1)-like receptors (RLRs) are key sensors of virus infection. They mediate the activation of downstream transcription factors, most notably interferon regulator factors (IRFs) and NF-κB, which collectively establish the antiviral host response. Consistent with these principles, RNA-seq data showed enrichment of the RIG-1 receptor signalling pathway upon SARS-CoV-2 infection (Fig 3C). However, after sensing, pathways involved in the initial engagement of the antiviral response, such as type I interferon signalling (IFN-I) and interferon sensitive genes (ISGs), were either unaffected or down-regulated. This observation is consistent with the lack of IFN-I and inefficient IRF3 signalling in VeroE6 cells [32]. Genes associated with type III interferon signalling were marginally affected. In contrast, genes responsible for type II interferon production and regulation (zc3h12a, ddit3, isg15, inhba, rara, rasgrp1, il18r1, hspd1, bcl3, abl1) and cellular response (ccl2, ifngr2, pim1, edn1, raf1, ptpn2, pparg, irf1, cdc42ep4, med1, stxbp4, dapk1, rpl13a, tlr2, zyx, actr3, nr1h2, pde12), were induced. In the absence of type I and III IFN response, cells tend to respond to SARS-CoV-2 infection through type II IFN signalling in the VeroE6 cells. Despite aberrant type I/III IFN expression, the response to SARS-CoV2 infection in VeroE6 cells still elicited a strong chemotactic (cd-147, il-6, ccr-2) and proinflammatory response (nfκb, tnf). These findings agree with studies suggesting that reduced antiviral defence, coupled with inflammatory cytokine production, are critical features of COVID-19 [33].

SARS-CoV-2-associated NF-κB activation is also mediated by toll-like receptor (TLR) and TNFα signalling [34]. In agreement with these observations, we found increased expression of genes associated with TLR signalling (cxcl11, tlr7, ticam1, and cd14) and TNF-NF-κB signalling (fos, cxcl1, socs3, cxcl6, mmp9, nod2, tnfaip3, prkcq, pias4, card14) in SARS-CoV-2-HK-infected VeroE6 cells (Fig 3C). Activated NF-κB enters the nucleus and enhances the expression of downstream proinflammatory cytokines and chemokines [34]. As expected, SARS-CoV-2-HK infection induces significant upregulation of proinflammatory cytokines and chemokines in VeroE6 cells. NF-κB activation could be mediated by IL-6/JAK/STAT3 and mitogen-activated protein kinases (MAPKs) signalling [34,35]. All of these signalling components were induced in SARS-CoV-2-HK-infected VeroE6 cells (Fig 3C).

The induction of NF-κB/TLRs/TNF signalling pathways is associated with generation of reactive oxygen species (ROS), which contribute to acute lung injury in COVID-19 patients [36]. Consistent with this finding, we observed down-regulation of antioxidant genes (e.g., glutathione peroxidases [gpx4], peroxiredoxins [prdx5], hemoxygenase (hmox1], catalase [cat], and thioredoxins [txnrd1]) regulated by nuclear factor erythroid 2-related factor 2 (Nrf2) – a central controller of cellular resistance to redox stress (Fig 3D) [37]. We validated RNA-seq data by showing that SARS-CoV-2 replication diminishes the levels of Nrf2 protein in Vero E6 cells (Fig 3E). Despite reduction in the Nrf2 protein levels, the transcript of gene Nrf2 (nfe2l2) was not affected in our RNA-seq data (S3A Fig), which is consistent with the post-translational regulation of Nrf2 by Keap1 and proteasomal system [37]. Imbalanced redox metabolism was further supported by significant down-regulation of genes belonging to oxidoreductases, such as nitric oxide synthase-3 (nos3), glucose-6-phosphate dehydrogenase (g6pd), beta-carotene oxygenase 1 (bco1), and methyl sterol monooxygenase 1 (msmo1). As with our RT-qPCR data, infection with SARS-CoV-2 reduces the expression of genes associated with sulfur metabolism, which include H2S biogenesis (Fig 3D).

During SARS-CoV-2-HK infection, the most down-regulated cellular processes identified are carbon catabolism (TCA cycle, pyruvate metabolism, and fatty acid metabolism), OXPHOS (respiratory complex I to complex V), amino acid metabolism, and DNA replication/cell cycle (Fig 3D.). Since the metabolites of these processes are used by viruses for replication, our data agree with studies showing bioenergetic deficiency as one of the critical cellular responses to SARS-CoV-2 infection [33,38]. In this context, restoration of cholesterol and valine levels in infected cells results in elevated levels of virus, reinforcing the contribution of central metabolism to SARS-CoV-2 replication [39].

Next, we analysed transcriptional changes associated with GYY4137-mediated inhibition of SARS-CoV-2 replication. Treatment with GYY4137 led to altered expression of ~ 800 genes (fold change [FC] >1.5; false discovery rate [FDR] <0.1) compared to untreated VeroE6 cells (Fig 3F). We noticed that treatment with GYY4137 specifically reversed the effect of SARS-CoV-2-HK infection on the expression of genes associated with the oxidoreductase activity (e.g., mthfr, acads, sc5d, hsd17b7, cbr4, msmo1, and me1) and Nrf2- antioxidant pathway (Figs 3I and S3B). Furthermore, pathways related to defence and cellular response to viruses, including TLR, TNFα, Nod-like receptor, MAPK, RIG-1, and cytokine/chemokine signalling, were induced more in GYY4137-treated VeroE6 cells relative to untreated cells (Fig 3G and 3H). We did not observe an effect of GYY4137 on the expression of central metabolism, respiration, and amino acid metabolism genes. We validated the expression changes of several Nrf2-specific antioxidant genes in response to GYY4137 by RT-qPCR (Fig 3J). The RT-qPCR and RNA-seq results were in agreement and indicated that antioxidant genes were down-regulated by SARS-CoV-2 infection, whereas GYY4137 treatment reversed this effect (Fig 3I and 3J). Altogether, H2S supplementation induces a major realignment of redox metabolism and immune pathways associated with SARS-CoV-2 infection.

SARS-CoV-2-mediated deregulation of redox metabolites was reversed by GYY4137

To understand whether the expression changes induced by GYY4137 correlate with altered carbon and redox metabolites, we performed an untargeted metabolomics analysis on SARS-CoV-2-HK-infected VeroE6 cells for 24 h with and without treatment with 10 μM GYY4137 (Fig 4A). The metabolite profiles were analysed by multivariate principal component analysis (PCA). The metabolite profile separated SARS-CoV-2 infected from uninfected controls (SARS-CoV-2 vs UI) and GYY4137-treated (SARS-CoV-2 vs GYY4137) groups (Fig 4B). The analysis of the dataset indicated that central carbon metabolism (glycolysis, TCA cycle, and gluconeogenesis), amino acid metabolism (glycine, serine, aspartate, arginine, glutamate, proline, cysteine, and methionine), redox metabolism (glutathione, NAD + /NADH, and trans-sulfuration pathway metabolites), urea-ammonia cycle, and purine-pyrimidine metabolism were significantly enriched metabolic classes (p value < 0.1) (Fig 4C)

thumbnail
Fig 4. SARS-CoV-2 mediated deregulation of redox metabolites are reversed by GYY4137:

(A) Schematic of LC/MS based analysis of cellular metabolites. (B) PCA analysis plot of metabolites in uninfected and SARS-CoV-2-HK infection in presence or absence of 10 μM GYY4137. (C) Pathway enrichment analysis by Metaboanalyst 6.0 on differently expressed metabolites. (D,E,F) Fold change of intracellular TCA cycle intermediates, nucleotide metabolism, one carbon metabolism, tryptophan metabolism, reverse transulfuration pathway. Box highlights reversely expressed metabolite with GYY4137 treatment (UI- Uninfected, I- Infected, T- Infected and treated with GYY4137). Results are expressed as mean ± standard deviation of data from single experiment, performed in three technical replicates. *p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001, by student’s t-test or one-way ANOVA with multiple comparison using Tukey’s method. Fig 4A graphic created in Biorender, https://BioRender.com/ttos191.

https://doi.org/10.1371/journal.ppat.1013164.g004

In SARS-CoV-2-HK infected Vero E6 cells, 70 metabolites were significantly altered (fold change [FC] >1.5; p value < 0.1). Consistent with virus entry and replication requiring nucleotide biosynthesis [40,41], we found a major enrichment of pyrimidine and purine metabolites (AMP, CDP, UDP and thymidine) (Fig 4D) in the infected VeroE6 cells. These data agree with a previous report on activation of de novo pyrimidine biosynthesis by the Nsp9 protein of SARS-CoV-2 as a mechanism to suppress the NF-κB dependent inflammatory response [40,42,43]. Glutaminolysis is another important source of carbon and nitrogen for satisfying the biosynthetic requirements of virus proliferation [44,45]. We detected an ~ 2-fold accumulation of glutamate and depletion of glutamine upon SARS-CoV-2-HK infection. That suggested increased glutaminolysis to reload the TCA cycle by generating alpha-ketoglutarate (αKG) and citrate for sustained fatty acid and amino acid synthesis (Fig 4D). Increased cataplerosis of citrate derived from glutaminolysis likely re-routes carbon flux away from the TCA cycle to support fatty acid and amino acid biogenesis [44]. This finding is consistent with a marginal increase in citrate levels in virus-infected cells (Fig 4D). Our transcriptomics data revealed uniform suppression of the TCA cycle and mitochondrial respiration upon infection, suggesting a lack of ATP synthesis by OXPHOS. Interestingly, we found that, along with depletion of glutamine, cells accumulate succinate upon SARS-CoV-2-HK infection (Fig 4D). These findings suggest that down-regulation of OXPHOS forces cells to rely on glutamine to carry out substrate-level phosphorylation that generates αKG and succinate to sustain ATP production during infection [46]. An increased requirement to synthesize lipids, amino acids, and nucleotides is also reflected in a significant accumulation of serine upon infection (Fig 4D).

The association between SARS-CoV-2 infection and amino acid metabolism is reinforced by increased levels of tryptophan (TRP)-derived metabolites, such as kynurenine (KYN) and 3-hydroxykyneurine (Fig 4E), in the infected cells. The KYN metabolic pathway promotes the production of nicotinamide adenine dinucleotide (NAD+) from nicotinamide through a salvage pathway [4750]. We detected an ~ 4-fold increase of NAD+ precursor, nicotinamide, and an ~ 2-fold increase in NADH levels (Fig 4E) in SARS-CoV-2-HK-infected cells compared to the uninfected condition. The data agree with earlier reports that SARS-CoV-2 infection deprives the host of NAD+ by diminishing its principle biosynthetic pathway from quinolinic acid, while promoting NAD+ acquisition through a salvage pathway. This deregulation of TRP and NAD metabolites likely contribute to inflammation, apoptosis, and disease severity in COVID-19 patients [49]. These findings agree with the studies showing higher KYN:TRP ratio in COVID-19 patients [5153].

In agreement with our RNA-seq data showing down-regulation of GSH biogenesis and sulfur metabolism, levels of methionine, cysteinyl-glycine, and glutamyl-cysteine were significantly depleted upon SARS-CoV-2 infection (Fig 4F). Since these amino acids are precursors for biogenesis of H2S and GSH [18,54,55], our results are consistent with decreased H2S production upon SARS-CoV-2 induction. Surprisingly, although the GSH precursors (cysteinyl-glycine and glutamyl-cysteine) were down-regulated, the total GSH levels increased by 3.5-fold in the infected cells. It is likely that while GSH biogenesis enzymes are down-regulated, cells still accumulate GSH by decreasing GSH catabolism/degradation as a way to counteract virus-induced oxidative stress. SARS-CoV-2 infection also resulted in accumulation of serine, which lies at the central branch point linking biosynthetic flux from glycolysis to GSH and the one-carbon metabolic cycle (Fig 4D) [56,57]. Accumulation of serine and active methyl cycle intermediate S-adenosylhomocysteine (SAH) indicate defects in redox balance and methylation potential of infected cells [5861]. Furthermore, we observed a significant effect of virus infection on polyamines, such as putrescine (1.6-fold upregulation) and spermine/spermidine (2-fold down-regulation). Because polyamines are known scavengers of ROS and stimulate GSH production [6265], their deregulation correlates well with an overall change in redox metabolites upon virus infection.

We next assessed the effect of GYY4137 on metabolic changes associated with SARS-CoV-2-HK infection. Upon GYY4137 treatment, approximately 76 metabolites were significantly altered (fold change [FC] >1.5; p value < 0.1). More-importantly, GYY4137 treatment reversed the influence of virus infection on a specific set of 28 metabolites related to redox homeostasis. For example, precursors for GSH biosynthesis (cysteinyl-glycine, glutamyl-cysteine, and cysteine) were upregulated or restored to normal levels (Fig 4F). Similarly, the levels of spermidine were elevated by GYY4137. The increase in pyrimidines (thymidine), amino acids (glutamate), citrate, and succinate upon virus infection was significantly reversed by GYY4137 treatment. Overall, supplementation with this H2S donor restored GSH homeostasis and normalized deregulated nucleotides and amino acid pools.

GYY4137 prevents redox imbalance and restores mitochondrial function upon SARS-CoV-2 infection

Our gene expression data indicate activation of the Nrf2 pathway, which protects from oxidative stress, as a major cellular response of virus infected cells to GYY4137. Therefore, we asked whether GYY4137 suppresses SARS-CoV-2-induced oxidative stress. First, we quantified oxidative stress during SARS-CoV-2 infection in the cytosol and mitochondria of VeroE6 cells. To do this, we created stably transfected VeroE6 cells that express a genetically encoded redox biosensor (Grx1-roGFP2) in the cytoplasm (Vero-Cyto-Grx1-roGFP2) or mitochondria (Vero-Mito-Grx1-roGFP2) (Fig 5A and 5B) [6669]. The Grx1-roGFP2 biosensor allows detection of dynamic changes in the cellular and subcellular redox environment by quantifying the redox potential of the major cellular thiol glutathione (GSH/GSSG) [67]. Grx1-roGFP2 has two fluorescence excitation maxima at 405 and 488 nm with a common emission at 510 nm [67]. An increase in oxidative stress increases the ratio of 405/488, whereas the biosensor exhibits an inverse response upon reduction [67]. We confirmed the accurate subcellular localization of Grx1-roGFP2 in either cytosol or mitochondria in VeroE6 cells (Fig 5B). We then infected these cells with SARS-CoV-2-HK and monitored ratiometric changes in 405/488 by flow cytometry. A time-dependent 405/488 ratio increase was observed in cyto-Grx1-roGFP2 and mito-Grx1-roGFP2 upon infection (Fig 5C), indicating an increase in oxidative stress. Mitochondria displayed a higher biosensor response upon infection, indicating that the virus induces significantly more oxidative stress in mitochondria than in the cytosol. As expected, pre-treatment with GYY4137 completely abrogated oxidative stress induced by SARS-CoV-2 in the cytosol and mitochondria of VeroE6 cells (Fig 5D).

thumbnail
Fig 5. GYY4137 prevents redox imbalance and restores mitochondrial function upon SARS-CoV-2 infection:

(A) Schematic representation of Grx1-roGFP2 oxidation and reduction in response to ROS inside a mammalian cell stably expressing the biosensor. (B) Confocal images of VeroE6 cells stably expressing Grx1-roGFP2 in cytoplasm and mitochondria. Grx1-roGFP2 is shown as green, mitotracker stain is red, and yellow signal demonstrates overlap. Scale bar represents 10 μm. (C) Biosensor-expressing cell lines were infected with 0.01 MOI of SARS-CoV-2-HK. Biosensor ratio (405/488 nm) was measured by flow cytometry at indicated time points. (D) Biosensor ratio (405/488 nm) of SARS-CoV-2-HK infected cells in presence or absence of 5 mM GYY4137 at 48 h pi. (E) OCR measurement of VeroE6 cells infected with 0.1 MOI SARS-CoV-2-HK in presence or absence of 10 μM GYY4137. Various respiratory parameters were derived from OCR values. nmOCR- non-mitochondrial oxygen consumption rate, BR- basal respiration, MR- maximal respiration, H+ Leak – proton leak, SRC-spare respiratory capacity, and CE- coupling efficiency. (F) Schematic representation of Nrf2 regulation by Keap-1 inside mammalian cells (Ub- Ubiquitin, sMaf- small musculoaponeurotic fibrosarcoma). (G) VeroE6 and Vero-shKeap1 cells were infected with 0.01 MOI SARS-CoV-2-HK in presence or absence of 5 mM GYY4137; virus replication was measured by RT-qPCR at 24 h pi. (H) VeroE6 cells treated with 10 μM DTT along with 5 mM GYY4137, prior to infection with 0.01 MOI SARS-CoV-2-HK. Virus replication was measured by RT-qPCR at 24 h pi. Results are expressed as mean ± standard deviation; representative of data from two independent experiments, performed thrice. * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001, by two-way ANOVA with multiple comparison using Tukey’s method (C,E,G,H) or multiple student’s t-test (D). (See also S4 Fig). Fig graphics created in Biorender, https://BioRender.com/iovctrx (Fig 5A), https://BioRender.com/wgzverk (Fig 5F).

https://doi.org/10.1371/journal.ppat.1013164.g005

Our findings agree with reports supporting the role of H2S in redox balance, GSH homeostasis, and mitochondrial function [2,70,71]. H2S could restore mitochondrial bioenergetics by acting as a substrate for the electron transport chain [12,72]. Since RNA-seq data during infection indicate diminished expression of OXPHOS genes, and the biosensor data showed heightened mitochondrial stress, we reasoned that GYY4137 could maintain redox balance by counteracting mitochondrial dysfunction induced by SARS-CoV-2. We studied the effect of GYY4137 on mitochondrial function using a Seahorse XF Extracellular Flux Analyzer (Agilent) as described previously by us [69,70]. Both basal and ATP-coupled respiration was significantly lower in VeroE6 infected with SARS-CoV-2-HK (Fig 5E). Upon dissipation of the mitochondrial proton gradient by FCCP, the maximal respiration capacity was markedly diminished, resulting in the exhaustion of spare respiratory capacity (SRC). Consistent with the role of H2S in reducing cytochrome-c oxidase for respiration [73], GYY4137 treatment reversed the respiratory indicator of infected cells to nearly uninfected levels (Fig 5E). These results indicate that SARS-CoV-2 infection decelerates respiration and diminishes the capacity of VeroE6 cells to respirate maximally. Significantly, treatment with GYY4137 restored all essential parameters reflecting mitochondrial health (Fig 5E).

The above findings and our expression data indicate that GYY4137 mobilizes cellular antioxidant machinery, such as the Nrf2 pathway, in response to virus infection. H2S has been consistently shown to activate Nrf2 via S-persulfidation of its repressor, Kelch-like ECH-associated protein 1 (Keap1) [74,75]. Under normal growing conditions, Keap1 binds to Nrf2 and promotes Nrf2 degradation through proteasomal machinery. In response to H2S exposure, Nrf2 dissociates from the S-persulfidated form of Keap1, translocates to the nucleus, and induces the expression of antioxidant genes [76] (Fig 5F). Nrf2 activation also reduces mitochondrial ROS by promoting mitochondrial respiration [77]. Based on these ideas, we determined whether the underlying mechanism of H2S-mediated suppression of SARS-CoV-2 replication involves the Keap1-Nrf2 axis. Since H2S sensing is mediated through S-persulfidation of Keap1 to activate Nrf2, we expected that reducing the expression of Keap1 would interfere with the activation of Nrf2 by GYY4137. We depleted endogenous Keap1 levels in VeroE6 cells using RNA interference (Vero-shKeap1) and confirmed the de-repression (~2 fold) of Nrf2-dependent antioxidant genes (ho-1 and txnrd1) in the knockdown strain (S4A Fig) [78]. Moreover, while GYY4137 treatment reduces virus replication by ~ 700-fold in VeroE6 cells, a similar treatment resulted in only ~7-fold reduction in SARS-CoV-2-HK levels in Vero-shKeap1. That resulted in an approximately 35-fold activity difference for GYY4137 between VeroE6 and Vero-shKeap1 cells (Fig 5G).

In addition to S-persulfidation, H2S could promote disulfide bond formation between the two Keap-1 molecules [74,79]. Therefore, as an additional verification, we treated VeroE6 cells with a cell-permeable inhibitor of disulfide formation, 1,4-dithiothreitol (DTT), and showed that the virus-suppressing effect of GYY4137 is reduced (Fig 5H). These findings are consistent with our RNA-seq data and indicate that H2S likely prevents virus replication by activating the Nrf2-specific redox response via Keap1 persulfidation or disulfide bond formation.

GYY4137 controls SARS-CoV-2 replication in animal models of infection

Having shown that H2S suppresses SARS-CoV-2 replication in multiple cell lines, we next examined the ability of GYY4137 to limit virus proliferation in mice and hamsters. Balb/c mice (n = 10) were treated with 50 mg/kg GYY4137 or vehicle control (PBS) 1 h before infection and 6 and 24 h post-infection with MA-10 (mouse-adapted SARS-CoV-2) [80,81]. Mice were intranasally infected with 5x104 PFU of SARS-CoV-2 (Fig 6A). Virus replication was determined in lung tissues by RT-qPCR and plaque assay at days 3 and 5 p.i.. At all-time points, administration of GYY4137 uniformly reduced (~100 fold) viral load as compared to the vehicle control (Fig 6B). Histopathological changes in the lungs were proportionate to differences in the viral burden. Virus-infected control animals showed increased cellular infiltration in perivascular and peri-bronchial spaces with significant areas of consolidation and necrosis (pathology score = 3–4). In contrast, the extent of pulmonary damage was negligible in GYY4137-treated animals (pathology score = 1) (Fig 6C and 6D). We also confirmed that GYY4137 treatment induced the expression of antioxidant (Nrf2-regulon) genes and reduced the expression of inflammatory genes in the lungs of infected mice (Fig 6E). We also examined the effect of Na-GYY4137 in mice infected with MA-10. Similar to GYY4137, we found that Na-GYY4137 uniformly reduced the viral load in MA-10 infected mice (S5A Fig).

thumbnail
Fig 6. GYY4137 controls SARS-CoV-2 replication in animal models of infection:

(A) Schematic representation of animal experiments. (B) Balb/c female mice were treated with 50 mg/kg body weight GYY4137 or vehicle and infected with mouse-adapted SARS-CoV-2 (MA-10). Mice were sacrificed at day -3 and day -5 to determine viral load by plaque assay, expressed as pfu per gram of lung tissue and by RT-qPCR. (C,D) Hematoxylin- and eosin-stained lung sections from different mice groups, with pathology score. (E) Lung tissues were processed to isolate total RNA. Anti-oxidant and anti-inflammatory gene response was measured by RT-qPCR. (F) Balb/c female mice were treated with 50 mg/kg body weight Na-GYY4137 or vehicle and infected with mouse-adapted SARS-CoV-2 (MA-10). Lung function was measured daily by unrestrained whole body plethysmography. Inset figure explains respective lung function parameter. (G,H) Gold Syrian hamsters were treated with 50 mg/kg body weight Na-GYY4137 or vehicle and infected with SARS-CoV-2 (US variant). Body weight and other clinical parameters were measured daily (G). Animals were sacrificed at day 4 to determine viral load by plaque assay (H). (I) Hematoxylin- and eosin-stained lung sections from different hamster groups. (Annotations for C and I) (1) acute alveolar inflammation and consolidation of alveolar space (pneumonia) with leucocytic alveolitis; (2) diffuse, damaged, and distended alveolar space; (3) severe blood hemorrhage; (4) necrosis; (5) acute bronchiolitis; (6) breakage of bronchial epithelial linings; (7) perivascular inflammation and vascular congestion. (BL) bronchial lumen (AS) alveolar space (BV) blood vessel. * p < 0.05; ** p < 0.01; *** p < 0.001 by student’s t-test with Welch’s correction or two-way ANOVA with multiple comparison using Tukey’s method (F). (See also S5 Fig). Fig graphics created in Biorender, https://BioRender.com/1by4ezc (Fig 6A), https://BioRender.com/zhpdqda (Fig 6F).

https://doi.org/10.1371/journal.ppat.1013164.g006

Interestingly, mouse-adapted SARS-CoV-2 (MA-10) recapitulates multiple aspects of severe COVID-19 disease, including altered pulmonary function linked to acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) [80]. Therefore, we measured the impact of infection and GYY4137 treatment on lung physiology using unrestrained whole-body plethysmography (uWBP) that non-invasively quantifies pulmonary function in spontaneously moving mice. As compared to control mice, infected mice experienced a loss in pulmonary function as indicated by a significantly elevated pause (PenH), a measurement of airway obstruction (Fig 6F) [82]. The end-expiratory pause (EEP), which provides a measurement of the time between the end of exhalation and the active start of inspiration [83], was notably prolonged between 5–7 days p.i (Fig 6F). Infected animals also show decreased relaxation time (RT), a measurement of the time required to exhale a fixed percentage (30%) of tidal volume (Fig 6F). Other pulmonary functions, such as peak expiratory flow (PEF) and mid-tidal expiratory flow (EF50), also increased upon infection, although this trend did not reach significance (S5B and S5C Fig). More importantly, Na-GYY4137 significantly mitigated the loss of pulmonary function (PenH, EEP, and RT) observed in the infected animals (Fig 6F).

We also assessed GYY4137 efficacy in the gold Syrian hamster model. In this infection model, we explored the potential of Na-GYY4137 to be an H2S donor owing to its lower toxicity [23]. Similar to mice, we treated animals with 50 mg/kg of Na-GYY4137 or vehicle control 1 h before infection and 6 h post-infection with 105 PFU SARS-CoV-2 (hCoV-19/USA/MD-HP05285/2021; US isolate). As reported earlier, a gradual reduction in animal weight was observed over time in virus- infected animals [84] (Fig 6G). In contrast, following an initial decline at day 1 post-infection, Na-GYY4137-treated animals showed a gradual recovery in weight at days 2, 3, and 4 post-treatment. In line with this, administration of Na-GYY4137 led to a 10-fold lower viral load as compared to the vehicle control (Fig 6H). The magnitude of lung damage was highest in SARS-CoV-2-infected, vehicle-treated animals (pathology score = 3–4), intermediate in Na-GYY4137-treated animals (pathology score = 1), and negligible in mock-infected animals (pathology score = 0) (Fig 6I). In sum, exposure to GYY4137 results in potent inhibition of viral replication and improved disease pathology in-vivo.

Discussion

The main conclusion of our study is that SARS-CoV-2 multiplication correlates with the depletion of endogenous H2S, which is associated with the breakdown of redox homeostasis and mitochondrial bioenergetics, in particular, diminished OXPHOS, energy metabolism, and mitochondrial oxidative stress. Decreased H2S resulted in the altered expression of genes involved in maintaining Nrf2-dependent cellular redox potential and the innate immune response. Several cell-line models of SARS-CoV-2 replication, nasopharyngeal samples from COVID-19 patients, and two animal infection models support our conclusions. Pharmacological complementation with GYY4137 confirmed the role of H2S in effectively suppressing SARS-CoV-2 by restoring redox balance, carbon metabolism, amino acid metabolism, and mitochondrial function. Lastly, restoring H2S levels inhibited virus replication and restored pulmonary function in mice and hamsters. Collectively, the data show that H2S deficiency promotes virus replication and that the H2S donors GYY4137 and Na-GYY4137 counteract virus proliferation. Our findings highlight that H2S-based interventions can be exploited to maintain cellular homeostasis and reduce SARS-CoV-2 spread during infection.

How does H2S promote suppression of SARS-CoV-2 proliferation? Several studies reveal that SARS-CoV2 replication is associated with mitochondrial dysfunction, redox imbalance, inflammation, and NF-κB/TLRs/TNF signalling pathways [13,34,8587]. H2S corrects several of these biological dysfunctions. For example, H2S in physiological concentrations improves mitochondrial health, protects from oxidative stress, and reverses inflammation [18,11,72,88]. Our transcriptomics, metabolomics, and XF flux measurements support a mechanism whereby virus infection diminishes endogenous H2S, resulting in loss of mitochondrial function and oxidative stress. Consistent with this, genetic depletion of endogenous H2S promotes virus proliferation, suggesting that maintaining H2S levels controls SARS-CoV-2 infection. As expected, supplementing H2S with GYY4137 encourages the maintenance of mitochondrial health and redox homeostasis as a control of SARS-CoV replication. H2S is known to modulate mitochondrial activity and redox balance at low concentrations through multiple mechanisms including via the Nrf2/Keap1 axis [37,89]. Our transcriptomic data point toward the role of Nrf2/Keap1 as an upstream mediator of H2S signalling in SARS-CoV-2 infection. H2S is shown to directly induce S-persulfidation of Keap1, which promotes Nrf2 nuclear translocation and stimulation of antioxidant genes expression. The role of Nrf2-Keap1 was further strengthened by our demonstration that depletion of Keap1 significantly abrogated the virus suppressive effect of GYY4137. Treatment of cells with DTT that reverses S-persulfidation also decreases the effect of GYY4137 on virus inhibition. Our data also support a primary role of the Keap1-Nrf2 pathway in mediating the antiviral effect of GYY4137.

Several other viruses, e.g., human immunodeficiency virus (HIV), respiratory syncytial virus (RSV) are known to modulate the expression of Nrf2 thereby disrupting redox homeostasis; restoration of Nrf2 function suppresses virus proliferation [70,90]. In the context of SARS-CoV-2, mice lacking the nuclear factor erythroid 2-related factor 2 (nrf2) gene exhibit severe disease, increased lung inflammation, and elevated virus titer [91]. Our study showed that H2S-mediated restoration of Nrf2 activity decreases SARS-CoV-2 replication, indicating that Nrf2 is protective during this viral infection.

H2S also exerts its effect by reacting with disulfides and sulfenic acid to form highly nucleophilic persulfides (RSSH)[92]. We suspect that formation of persulfides on viral and host proteins upon exposure to H2S donors could directly regulate SARS-CoV-2 infection. The activity of several viral proteins, such as spike glycoprotein (S protein) and thiol proteases (PLpro and 3CLpro), depend on disulfide bond formation [9397], which H2S can convert to persulfides. Consistent with this idea, SARS-CoV-2 PLpro and 3CLpro were inactivated via persulfidation induced by glutathione trisulfide (GSSSG) [27]. Likewise, disulfide bond cleavage at the receptor-binding domain (RBD) of the S protein likely suppresses SARS-CoV-2 infection [98]. All of this could influence virus entry, which is consistent with our findings showing that pre-treatment with GYY4137 had a significant impact on SARS-CoV-2 replication. NO may have a similar anti-SARS-CoV-2 effect by inactivating viral proteases, possibly through S-nitrosylation [99]. Interestingly, a recent study found a synergistic effect of NO and S-persulfidation in inhibiting SARS-CoV-2 PLpro [27].

Previous clinical studies have proposed an inverse relationship between endogenous H2S levels and the severity of COVID-19 [100], indicating the beneficial potential of H2S-releasing drugs for COVID-19 treatment [101]. The therapeutic potential of H2S on the COVID-19 pathogenesis was largely inferred by the pharmacological introduction of sulfur-containing compounds such as diarlytrisulfide and S8 or reactive hydroperssulfides, which include cysteine persulphide (CysSSH), glutathione persulphide (GSSH) and oxidized glutathione trisulphide (GSSSG) [27]. However, prior to the present work, there had been no demonstration of the direct contribution of endogenous H2S and the impact of a slow-releasing H2S donor for anti-SARS-CoV-2 effects, particularly the therapeutic effects in mice and hamster infection models. In this context, it is crucial to investigate the clinically-relevant and safe concentrations of the H2S donors. Exposure to 5 mM of GYY4137 resulted in ~600 μM of H2S inside cells. At this concentration, we did not observe any cytotoxicity but found excellent inhibitory effect on virus proliferation and a larger impact on transcriptome. Low micromolar concentration of GYY4137 exhibited uniform influence on mitochondrial bioenergetics and steady-state metabolites. Future metabolite flux-based experimentations are needed to examine the impact of varying H2S concentration on virus suppression, and to correlate transcriptomic data with the metabolomic changes. The absorption and metabolism of H2S ensures sulfide homeostasis upon administration of high H2S doses. The sulfide catabolism pathways promote oxidation of excess H2S to thiosulfate and sulfate, which are cleared through excretory system in free or conjugated form [102]. S-adenosyl methionine (SAM)-dependent methylation of H2S by human methyltransferase-like protein 7B (METTL7B) could be another mechanism to reduce potential toxicity [103]. All of these observations would have led to successful application of high doses of GYY4137/Na-GYY4137 in suppressing virus proliferation and lung pathology in mice and hamsters.

Several modulatory effects of H2S on immune responses have been reported [104,105]. Mechanistically, multiple signal transduction pathways serve as a molecular target for H2S. These include NF-κB, AKT, AMP Kinase, type I/II interferons, JAK-STAT, and PTEN for immune regulation [104,106]. In our RNA-seq data, many signalling components (NF-κB, type I/II interferon, JAK-STAT) were induced in response to SARS-CoV-2 infection and were induced even more by GYY4137 treatment. Using HIV infection as a model, we previously demonstrated that the H2S donor GYY4137 modulates the expression of genes associated with oxidative stress, inflammation, antiviral response, and apoptosis. Many of these effects were likely mediated by H2S-mediated suppression of p65 ser-536 phosphorylation, a major NF-κB subunit, and Nrf2 activation [70]. These data are consistent with our findings in animal lungs where SARS-CoV-2 infection showed up-regulation of proinflammatory cytokines and down-regulation of Nrf2-dependent antioxidant genes, with GYY4137 treatment reversing these effects. H2S may, therefore, control inflammatory over-reactions occurring during SARS-CoV-2 infection and maintain antioxidant balance to provide broad protection against viral and inflammatory diseases, such as COVID-19.

Our recent work with HIV also demonstrates that endogenous H2S biogenesis by CTH and 3-MST distinctly affects virus proliferation. While CTH activity was required to suppress HIV, activation of 3-MST resulted in virus proliferation [70,71]. The current study showed that SARS-CoV-2 infection efficiently down-regulates the production of H2S by reducing expression of CBS, CTH, and 3-MST enzymes. However, the suppression of only CTH promoted virus proliferation, indicating a major role for CTH-mediated H2S production in controlling SARS-CoV-2 replication in VeroE6 cells. Future experiments are needed to understand the role of CTH in controlling SARS-CoV-2 in diverse cells, animal models, and humans. Moreover, studies have shown that CBS/CTH/3-MST triple knock-out mice do not show appreciable changes in several sulfur metabolites [107]. Therefore, while CBS/CTH/3-MST might be responsible for generating H2S and persulfides, additional pathways such as CARS2/CPERS could be necessary for producing endogenous persulfides in-vivo [108].

In conclusion, we identified H2S as a central factor in SARS-CoV-2 infection. Our systematic mechanistic dissection of the role of H2S in cellular bioenergetics, redox metabolism, and virus replication unifies many previous phenomena associated with various viral infections, including COVID-19, and with chronic lung diseases such as chronic obstructive pulmonary disease (COPD).

Materials and methods

Ethics statement

Clearances for this project have been obtained from the Institutional Biosafety Committee (IBSC; Approval number: IBSC/IISc/AS/16/2020), Institutional Human Ethics Committee (IHEC; Approval number: 13–11092020) and Institutional Animal Ethics Committee (IAEC; Approval number: CAF/ETHICS/940/2023). For use of human samples, informed verbal consent was obtained from each participant, before the study.

Cell lines and virus

HEK293T, VeroE6 cell, Calu-3 cells and HEK293T cells expressing human ACE2 cells were cultured in complete media containing Dulbecco’s modified Eagle medium (Cell Clone, Genetix, India) with 10% CELLECT FBS (MP Biomedicals), 100 IU/mL penicillin, 100 μg/mL streptomycin and 0.25μg/mL amphotericin-B (Sigma-Aldrich). Calu-3 cells were additionally supplemented with non-essential amino acids (Sigma-Aldrich). All cell lines were maintained at 37°C in a humidified incubator with 5% CO2. All cell lines are verified to be mycoplasma free using a EZdetect PCR detection kit for Mycoplasma (HIMEDIA).

SARS-CoV-2 isolates (Hong Kong/VM20001061/2020, NR-52282; hCoV-19/USA/MD-HP05285/2021, NR-55671 (Delta Variant); Mouse-Adapted MA-10 variant, NR-55329) were obtained from BEI Resources, NIAID, NIH and were propagated and titered using standard plaque assay in VeroE6 cells [109]. All experiments with live SARS-CoV-2 virus were performed in Viral Biosafety level-3 laboratory at CIDR, IISc.

Animals

Balb/c mice and Gold Syrian hamsters were obtained from CPCSEA (The Committee for the Purpose of Control and Supervision of Experiments on Animals)-approved animal dealers (IAEC approval number- CAF/ETHICS/940/2023; CPCSEA registration number of dealer- 2076/PO/RcBiBt/S/19/CPCSEA). Animals were tested to be free from any pathogens. All the animals were acclimatized to laboratory conditions before using them for experiments. Animals were disposed by following CPCSEA guidelines.

Chemical reagents

Sodium hydrosulphide (NaHS), morpholin-4-ium 4-methoxphenyl(morpholino) phosphinodithioate dichloromethane complex (GYY4137), sodium-GYY4137 (Na-GYY4137), D,L-propargylglycine (PAG), dithiothreitol (DTT), L-cysteine and thiazolyl blue tetrazolium bromide (MTT) were purchased from Sigma-Aldrich. EZ-Link Iodoacetyl-PEG2-Biotin (IAB), Dynabeads-M280 Streptavidin and Lipofectamine 3000 were purchased from ThermoFisher Scientific.

Generation of stable cell lines

ShRNA constructs against CTH, CBS, 3-MST and Keap1 were obtained from RNAi consortium (TRC) library (Sigma-Aldrich) (S1 Table). Grx1-roGFP2 with or without the mitochondrial target sequence (cox8a) was cloned into the pLVX lentiviral expression vector system. For generating stable cells, HEK293T cells were transfected with the target plasmids along with packing plasmids (psPax2 and pMD2 G) using lipofectamine 3000 as per the manufacturer’s protocol. Forty-eight h post transfection, cell supernatant containing lentiviral particles was used for transducing VeroE6 cells, supplementing with 10 μg/mL polybrene. Stably transduced VeroE6 cells were selected in the presence of 3 μg/mL puromycin.

Cytotoxicity assay

Cytotoxicity of the compounds was assessed by MTT-based assay, as described previously [110]. Briefly, 20,000 cells were seeded in a 96 well plate and incubated at 37°C, 5% CO2 in a humidified incubator overnight. Next day, cells were treated with two- fold serially diluted compounds in duplicate wells for 48 h before addition of 0.8 mg/mL MTT substrate and further incubated until the appearance of MTT crystals (~1 h). Crystals were dissolved in DMSO, and absorbance was read at 595 nm with a reference filter of 620 nm using a SpectraMax M3 plate reader (Molecular Devices).

Mitochondria staining

Grx1-roGFP2-expressing cells were fixed with 4% PFA. For staining mitochondria prior to fixing, the cells were pretreated for 1 h with 100 nM MitoTracker (Invitrogen). The coverslips were washed thoroughly with PBS and mounted onto glass slides with mounting media (Antifade reagent, Invitrogen). Grx1-roGFP2 fluorescence was analysed at 488 nm excitation and 525 nm emission, and Mito-Tracker-stained cells were visualized at 540 nm excitation and 630 nm emission.

Infection of cell lines

Cells were seeded in 24- or 12-well plates such that the density at the time of infection was 90–95%. For all drug experiments, cells were either pretreated with 5 mM GYY4137 or 20 mM PAG or left untreated for 4 h (2 h for PAG). Viruses at the indicated MOI were added to the cells (total volume 200 μL) and incubated for 1 h with intermittent mixing. Virus inoculum was removed after 1 h, and infection medium (DMEM with 2% FBS), restoring the initial dose of the compounds, was added to the cells which were incubated for the indicated times. After incubation, cell supernatant was processed for plaque assay and viral RNA isolation (mdiViral isolation kit). Cells were lysed and processed separately for western blotting and RNA isolation (Qiagen RNAeasy RNA isolation kit).

Reverse transcription-quantitative polymerase chain reaction (RT-qPCR)

Total RNA was extracted using RNeasy mini kit (Qiagen). The synthesis of cDNA was performed with 500 ng of total RNA in a 20 µL reaction, using iScript Reverse Transcription Supermix (Bio-Rad). cDNA was subjected to quantitative real-time PCR (iQ SYBR Green Supermix, Bio-Rad), performed using the Bio-Rad C1000 real-time PCR system. 18S rRNA, actin, or beta-2-microglobulin was used as the housekeeping gene for normalization (S2 Table). The Ct values were analysed using the delta-delta Ct method (2–∆∆Ct method). SARS-CoV-2 viral copies were calculated by generating a standard curve against the viral N gene.

Western Blot analysis

Total cell lysates were prepared using radioimmunoprecipitation (RIPA) lysis buffer (50 mM Tris [pH 8.0], 150 mM NaCl, 1% Triton X-100, 1% sodium deoxycholate, 0.1% SDS [sodium dodecyl sulfate], 1 × protease inhibitor cocktail (Sigma-Aldrich), and 1 × phosphatase inhibitor cocktail [Sigma-Aldrich]). After incubation on ice for 20 min, the lysates were centrifuged at 15,000 x g 4°C for 15 min. Clarified supernatant was taken, and total protein concentration was determined by Bicinchoninic Acid Assay (Pierce, ThermoFisher Scientific). Total protein extracts were separated by SDS-PAGE and transferred onto polyvinylidene difluoride (PVDF) membranes. After transfer, the membranes were blocked with 5% skim milk. Membranes were probed with anti-CBS (EPR8579), CTH (ab151769), MST (ab154514), from Abcam; anti-SARS-CoV-2 Nucleocapsid (940901) from Biolegend; anti-Nrf2 (CST-12721), and GAPDH (CST-97166) from Cell Signaling Technologies, Inc; and anti-rabbit IgG (CST-7074) and anti-mouse IgG (CST-7076) were used as secondary antibodies. Proteins were detected by ECL and visualized by chemiluminescence (PerkinElmer, Waltham, MA) using the Bio-Rad Chemidoc Imaging system. For membrane re-probing, stripping buffer was used (2% SDS [w/v], 62 mM Tris-Cl buffer [0.5 M, pH 6.7], and 100 mM β-mercaptoethanol) for 20 min at 55°C. After extensive washing with phosphate- buffered saline (PBS) containing 0.1% Tween 20 (Sigma-Aldrich), membrane was blocked and re-incubated with desired antibodies.

Plaque assay

Plaque assay was done to measure the infectious virus counts as described previously [109]. Briefly, VeroE6 cells were seeded in a 6-well plate, such that the plates were 95% confluent at the time of infection. Cells were washed once with 1x PBS and inoculated with 200 μL of dilutions of cell culture supernatant (containing virus) and allowed to infect for 1 h with intermittent rocking. The virus inoculum was then removed, and the cell monolayer was overlaid with DMEM containing 2% FBS and 0.8% agarose (Sigma-Aldrich). After 72 h, cells were fixed with 4% paraformaldehyde (PFA), and plaques were visualized by crystal violet (Sigma-Aldrich) staining. The viral titre was calculated as follows: Titre of SARS-CoV-2 (in PFU/mL) = Average number of plaques in a particular viral dilution ÷ (dilution factor × 0.2 mL).

H2S detection assays

H2S generation was measured using methylene blue assay [25] and lead acetate assay [19]. For methylene blue assay, the supernatant of cells treated with NaHS or GYY4137 was incubated with zinc acetate (1%) and NaOH (3%) (1:1 ratio) to trap H2S for 30 min. The reaction was terminated using 10% trichloroacetic acid solution. Following this, reactants were incubated with 20 mM N,N-dimethylphenylendiamine (NNDPD; Sigma-Aldrich) in 7.2 N HCl and 30 mM FeCl3 in 1.2 N HCl for 30 min, and absorbance was measured at 670 nm. The concentration of H2S was determined by plotting absorbance on a standard curve generated using NaHS (0–400 μM; R2 = 0.9982). For lead acetate assay, lead acetate papers were prepared by soaking Whatman filter paper in 5 mM lead acetate solution for at-least 2 h and then air dried. Cell lysate, prepared in passive lysis buffer, was incubated with 10 mM cysteine (Sigma-Aldrich) and 1 mM PLP (Sigma-Aldrich) in a 96-well plate. The lid of the plate was covered with lead acetate paper, and incubated at 37°C overnight. Intensity of the brown precipitates was calculated using Image J software.

Flow cytometry and redox potential measurements

Flow cytometer was conducted to obtain the ratio metric response of cells transfected with Grx1-roGFP2 sensor plasmids, as described in our earlier studies [66,68]. Biosensor-expressing cells infected/uninfected were harvested after treating with 1 mM NEM and fixed with 4% PFA before analyzing in BD FACS Verse. For each experiment, the minimal and maximal fluorescence ratios corresponding to 100% sensor reduction and 100% sensor oxidation was calculated using DTT (10 mM) as the reducing agent and H2O2 (10 mM) as the oxidizing agent. The observed ratios were used to determine the degree of biosensor oxidation.

Measurement of oxygen consumption rates

OCRs were measured using a Seahorse XFp extracellular flux analyzer (Agilent Technologies) as per the manufacturer’s instructions. Briefly, cells (VeroE6 cells infected with SARS-CoV-2 in presence or absence of 10 μM GYY4137) were seeded at a density of 104–105 per well in a Seahorse flux analyzer plate precoated with Cell-Tak (Corning). Cells were incubated for 1 h in a non-CO2 incubator at 37°C before loading the plate in the Seahorse analyzer. To assess mitochondrial respiration, three OCR measurements were performed without an inhibitor in XF assay media to measure basal respiration, followed by sequential addition of oligomycin (1 μM), an ATP synthase inhibitor (complex V). Three OCR measurements were made to determine ATP-linked OCR and proton leakage. Next, cyanide-4-(trifluoromethoxy) phenylhydrazone (FCCP; 0.25 μM), was injected to determine the maximal respiration rate and the spare respiratory capacity. Finally, rotenone (0.5 μM) and antimycin A (0.5 μM), inhibitors of NADH dehydrogenase (complex I) and cytochrome c - oxidoreductase (complex III), respectively, were injected to completely shut down the ETC to determine non mitochondrial OCR (nmOCR). Mitochondrial respiration parameters were analyzed using Wave Desktop 2.6 software (Agilent Technologies).

Protein persulfide detection by ProPerDP

Protein persulfidation was detected by the ProPerDP method established by Doka et al [21]. Briefly, VeroE6 cells, either uninfected or infected with 0.1 MOI SARS-CoV-2 for 24 h, were rinsed with phosphate-buffered saline (PBS) and incubated with 2 μM Auranofin, followed by incubation with 1 mM IAB (ThermoFisher Scientific, USA) in Hank’s balanced salt solution (HBSS) for 3 h at 37°C. The cells were then washed two times with HBSS and lysed by scraping in lysis buffer [40 mM HEPES, 50 mM NaCl, 1 mM EGTA, 1 mM EDTA (pH 7.4), and 1% CHAPS] containing 1% protease inhibitor cocktail (Sigma-Aldrich). Cell supernatant was clarified by centrifugation at 15,000 x g for 15 min at 4°C. Protein concentration was determined using the Bradford assay. Biotinylated proteins were pulled down by streptavidin-coated magnetic beads (Invitrogen) for 2 h with rotation. After incubation, magnetic beads were separated from the solution phase with a magnetic particle separator. The supernatant was placed in a clean tube, and the beads were washed three times with Tris-buffered saline containing 0.05% Tween 20 (TBST). The beads were then resuspended in 25 mM DTT and incubated for 30 min with gentle mixing. The magnetic separation was repeated. The supernatant containing persulfidated proteins and the beads were finally boiled at 100°C for 3 min in SDS-PAGE sample loading dye. The samples were then analysed by SDS-PAGE gel electrophoresis, followed by staining with colloidal Coomassie stain to visualize the bands.

RNA sequencing

Total RNA was extracted from VeroE6 cells infected with 0.01 SARS-CoV-2 in the presence or absence of 5 mM GYY4137. Following extraction, the RNA was quantified and assessed for purity by a 2100 Bioanalyzer (Agilent Technologies, Waldbronn, Germany). RNA samples with an RIN (RNA Integrity Number) value > 8 were processed further for sequencing. mRNA enrichment was performed using NEB mRNA enrichment kit as per manufacturer’s protocol, and the concentration of enriched mRNA was quantified by Qubit RNA HS Assay Kit (Life Technologies, USA). Libraries were prepared using NEB Next Ultra Directional RNA Library Prep Kit for Illumina (New England Biolabs, USA), according to manufacturer’s instructions. The library size distribution and quality were assessed using a high sensitivity DNA Chip (Agilent Technologies, USA) and sequenced in NovaSeq 6000 (Illumina, USA) sequencer using 1X50 bp single-end reads with 1% PhiX spike-in control.

Differential gene expression and statistical analysis for RNA-Seq

Raw reads were obtained as fastq files. The reference genome sequence and annotation files for Chlorocebus sabaeus (GCF_015252025.1_Vero_WHO_p1.0) were downloaded from the NCBI ftp (“ftp.ncbi.nlm.nih.gov”). The raw read quality was checked using the FastQC software (version v0.11.5)[111]. Differential gene expression (DGE) analysis was adapted from Pertea et.al, 2016. HISAT2 (v2.2.1) was used to index the reference genome and align the raw reads on it [112,113]. The resulting sam files were sorted and converted to bam files using SAMTOOLS (v1.15.1) [114]. A matrix of raw read count per gene was generated using stringtie2 (v.2.2.1) package [115]. Genes which were annotated in the reference genome and had atleast 10 reads in minimum of two replicates of any samples, were considered for further analyses. For DGE analysis, the methodology in Chen Y et. al, 2016 was performed using edgeR package (v4.0.2) [116,117]. In each comparison, the absolute fold change (FC) of 1.5 and false discovery rate (FDR) of 0.1 was taken as the threshold for defining the genes with differential gene expression. fgsea package (v1.28.0) was used to perform pathway enrichment anaylsis resulting in normalised enrichment score [118].

Metabolite extraction and analysis

Untargeted metabolomics analysis was performed using Q Exactive Hybrid Quadrupole Orbitrap high-resolution mass spectrometer with an ESI source (ThermoFisher Scientific, Inc., USA). Briefly, 1 x 106 VeroE6 cells were infected with SARS-CoV-2 (MOI-0.1) in the presence or absence of 10 μM GYY4137. Cells were incubated for 24 h before harvesting in extraction buffer. The cells were extracted quickly using extraction buffer (methanol/acetonitrile/water (50:30:20 v/v/v)) at -20°C on dry ice by scrapping. Extracted metabolite solution was kept for 2 h at -80°C followed by centrifugation twice at 20,000 x g for 20 mins at 4°C. Finally, the supernatant was vacuum dried using a speed vac. Before injecting the samples for LC/MS, lyophilized metabolites were dissolved in 30 µL of 50% acetonitrile and 0.1% formic acid. Further, the samples were vortexed and centrifuged at 12,000 x g for 15 mins. Supernatant was collected, and 5 µL/replicate was injected into the instrument. Samples were run in triplicate using electrospray ionization (ESI)-positive mode. Solvent (A) contained water and 0.1% formic acid, and Solvent (B) contained methanol and 0.1% formic acid. The capillary temperature was set to 320°C. The sheath gas flow rate was set to 60, the aux gas flow rate to 20, and the spray voltage to 3.5kV. The flow rate of the LC-MS instrument was set to 0.500 mL/min. All method files were written and executed via Thermo Xcalibur 4.0 software (ThermoFisher Scientific, Inc., USA). The raw data obtained were processed using compound discoverer 2.0 software and Metaboanalyst 6.0[119].

Animal experiments

Ethics and animals’ husbandry The Institute Biosafety Committee (IBSC) and the Institute Animal Ethical Committee (IAEC) evaluated and approved the work plans for the animal experiments, and the experiment was carried out in accordance with CPCSEA criteria. Ten-to-twelve-week-old female Balb/c mice were used in the animal experiment, along with the required numbers of gold Syrian hamsters (Mesorectums auratus) of both sexes weighing between 50–60 grams. All experiments were performed inside the virus BSL-3 laboratory at the Indian Institute of Science, Bengaluru, India. Animals used in the experiments were kept in individually ventilated cages (IVCs) with access to pellet feed, water ad libitum, and a 12-h day/night light cycle. Furthermore, the temperature and relative humidity of the viral BSL-3 laboratory were kept at 23 ± 1 ◦C and 50 ± 5%, respectively.

Virus infection and treatment experiments After acclimatization for seven days in IVC cages in the virus BSL-3 laboratory, the experimental animals (mice and hamsters) were randomly grouped for drug treatment, vehicle control, and uninfected groups (n > 4 (for hamster); n > 8 (for mice)). Animals were sedated and anesthetized using a cocktail of ketamine (90 mg/kg for mice and 150 mg/kg for hamsters) and xylazine (4.5 mg/kg for mice and 10 mg/kg for hamsters) intraperitoneally, and they were intranasally infected with 105 PFU SARS-CoV-2 (US isolate) in 100 µL PBS (for hamsters) or 5x104 PFU SARS-CoV-2 (MA-10 isolate) in 50 µL PBS (for mice). Treatment involved intranasal administration of 50 mg/kg.b.wt. of GYY4137 or Na-GYY4137 1 h before infection and 6 h and 24 h post infection. Body weight was recorded each day during the course of the experiment until the animals were sacrificed at either 3 or 5 dpi (for mice) or 4 dpi (for hamsters). At the respective time points of the experiment, all animals (mice and hamsters) were euthanized through intraperitoneal injection of an overdose of Ketamine (Bharat Parenteral Limited) and Xylazine (21, Indian Immunological Ltd) cocktail. The left lobe of lung was harvested and fixed in 4% paraformaldehyde (PFA) for histopathological examination of lungs. The right lobes were frozen at -80ºC for determining the virus copy number using RT-qPCR or plaque assay. Briefly RNA was isolated using TRIzol method. Equal concentration of RNA was used for viral titre estimation using Q-line (nCoV-19) RT-PCR detection kit (Q-line Biotech private limited), as per manufacturer’s protocol. Standard curve with known viral titre was generated to calculate the viral e gene copy number.

Histopathological Examination Paraformaldehyde-fixed lungs were processed, embedded in paraffin, and cut into 4 μm sections by microtome for haematoxylin and eosin staining. The lung sections were microscopically examined and evaluated for different pathological scores. For lung tissue histopathology scoring, we developed a method using Mitchison’s virulence scoring system with modification, considering the consolidation of lungs, severity of bronchial and alveolar inflammation, immune cell influx, and alveolar and perivascular edema [120,121]. The histopathology scores were graded as 0–4 (4: severe pathology; 3: moderate pathology; 2: mild pathology; 1: minor/minimum pathology; 0: no pathology).

Whole Body Plethysmography For whole body plethysmography (WBP), 18 week old female Balb/c mice were infected with 105 PFU of mouse-adapted SARS-CoV-2 (MA10) virus under xylazine-ketamine anesthesia. One of the infected groups received 50 mg/kg Na-GYY4137 intranasally 1 h before, and 6 h, and 24 h after infection. The other infected group was intranasally dosed with the same volume of PBS at specific time points. A second dose of infection was given to mice in the two infected groups 48 h after the first dose. All the mice were subjected to respiratory function evaluation before infection and every day post-infection for 7 days. Mice were allowed to acclimatize in the subject chambers of the whole-body plethysmograph (Vivoflow, Scireq), and respiratory function parameters were recorded for 5 minutes each day using iox software (v2.10.8.38). The recordings were captured at every 15-second interval, and data were analyzed using two-way ANOVA.

Statistical analysis

All statistical analyses were performed using GraphPad Prism software for Macintosh (version 9.5.0). The data values are indicated as mean ± S.D. For statistical analysis, Student’s t-test (in which two groups are compared) and one-way or two-way ANOVA (for analysis involving multiple groups), with appropriate corrections were used.

Supporting information

S1 Fig.

(A) Time-dependent changes in expression of cbs, mst and cth during SARS-CoV-2 (HK variant) replication in Calu-3 cells by RT-qPCR. (B) Time-dependent changes in expression of cbs, mst and cth during SARS-CoV-2-HK replication in HEK-ACE2 cells by RT-qPCR. (C) Protein levels of CBS, CTH and MST during SARS-CoV-2-HK replication in HEK-ACE2 cells, quantified by densitometric analysis using Image Lab software.

https://doi.org/10.1371/journal.ppat.1013164.s001

(TIF)

S2 Fig.

(A) Knockdown confirmation of CBS in VeroE6 cells by western blotting. (B) Knockdown confirmation of mst in VeroE6 cells by RT-qPCR. (C) SARS-CoV-2 viral load in knockdown VeroE6 cells (ShCBS/CTH/MST). (D) Viability of VeroE6 cells in the presence of GYY4137 and Na-GYY4137 at 48 h post treatment by MTT assay. (E) Plaque assay from culture supernatant of different treatment groups. (F) ace2 expression upon SARS-CoV-2 infection and GYY4137 treatment in VeroE6 cells. (G) ace2 and tmprss2 expression in Calu-3 cells, infected with 0.1 MOI SARS-CoV-2 in presence or absence of 5 mM GYY4137 at 48 h p.i. (H) Time of addition experiment of drug GYY4137 in VeroE6 cells.

https://doi.org/10.1371/journal.ppat.1013164.s002

(TIF)

S3 Fig.

(A) nfe2l2 transcript counts upon SARS-CoV-2 infection in presence or absence of GYY4137 by RNA sequencing. (B) Heat maps of genes associated with oxidoreductase activity.

https://doi.org/10.1371/journal.ppat.1013164.s003

(TIF)

S4 Fig. (A) RT-qPCR analysis of Nrf2 regulated genes in Vero-shKeap1 cells.

https://doi.org/10.1371/journal.ppat.1013164.s004

(TIF)

S5 Fig. (A) Viral load in SARS-CoV-2 infected mice in presence or absence of Na-GYY4137 measured by RT-qPCR at 7 day p.i.

(B) Lung function parameters measured by whole body plethysmography.

https://doi.org/10.1371/journal.ppat.1013164.s005

(TIF)

S1 Table. List of shRNA constructs used in the study.

https://doi.org/10.1371/journal.ppat.1013164.s006

(DOCX)

S2 Table. List of primers used in the study.

https://doi.org/10.1371/journal.ppat.1013164.s007

(DOCX)

S1 Data. Normalized CPM counts (transcriptomics data).

https://doi.org/10.1371/journal.ppat.1013164.s008

(XLSX)

Acknowledgments

We thank Prof. S. Vijaya (IISc), Prof. Varadharajan Sundaramurthy (NCBS) and Dr. Shashank Tripathi (IISc), for providing cell lines and virus stocks. We also thank Prof. Deepak Kumar Saini (IISc) for providing the shRNA constructs. We are thankful to Dr. Awadesh Pandit and Next Generation Genomics Facility (NGGF) at the National Centre for Biological Sciences (NCBS), Bengaluru for conducting the RNA-seq experiment. We acknowledge the viral biosafety level 3 (Viral BSL-3) and COVID-19 diagnostic facilities at CIDR, IISc, Bengaluru. We thank Karl Drlica for providing critical comments on the manuscript.

References

  1. 1. Fagone P, Mazzon E, Bramanti P, Bendtzen K, Nicoletti F. Gasotransmitters and the immune system: Mode of action and novel therapeutic targets. Eur J Pharmacol. 2018;834:92–102. pmid:30016662
  2. 2. Pal VK, Bandyopadhyay P, Singh A. Hydrogen sulfide in physiology and pathogenesis of bacteria and viruses. IUBMB Life. 2018;70(5):393–410. pmid:29601123
  3. 3. Yang G, Sener A, Ji Y, Pei Y, Pluth MD. Gasotransmitters in Biology and Medicine: Molecular Mechanisms and Drug Targets. Oxid Med Cell Longev. 2016;2016:4627308. pmid:27777644
  4. 4. Tinajero-Trejo M, Jesse HE, Poole RK. Gasotransmitters, poisons, and antimicrobials: it’s a gas, gas, gas!. F1000Prime Rep. 2013;5:28. pmid:23967379
  5. 5. Akaberi D, Krambrich J, Ling J, Luni C, Hedenstierna G, Järhult JD, et al. Mitigation of the replication of SARS-CoV-2 by nitric oxide in vitro. Redox Biol. 2020;37:101734. pmid:33007504
  6. 6. Srivastava S, Garg I, Hembrom AA, Kumar B. Assessment of nitric oxide (NO) potential to mitigate COVID-19 severity. Virusdisease. 2021;32(3):589–94. pmid:34099981
  7. 7. Winchester S, John S, Jabbar K, John I. Clinical efficacy of nitric oxide nasal spray (NONS) for the treatment of mild COVID-19 infection. J Infect. 2021;83(2):237–79. pmid:33992687
  8. 8. Singh D, Wasan H, Reeta KH. Heme oxygenase-1 modulation: A potential therapeutic target for COVID-19 and associated complications. Free Radical Biology and Medicine. 2020;161:263–71.
  9. 9. Renieris G, Katrini K, Damoulari C, Akinosoglou K, Psarrakis C, Kyriakopoulou M, et al. Serum Hydrogen Sulfide and Outcome Association in Pneumonia by the SARS-CoV-2 Coronavirus. Shock. 2020;54:633.
  10. 10. Gadalla MM, Snyder SH. Hydrogen sulfide as a gasotransmitter. J Neurochem. 2010;113(1):14–26. pmid:20067586
  11. 11. Módis K, Bos EM, Calzia E, van Goor H, Coletta C, Papapetropoulos A, et al. Regulation of mitochondrial bioenergetic function by hydrogen sulfide. Part II. Pathophysiological and therapeutic aspects. Br J Pharmacol. 2014;171(8):2123–46. pmid:23991749
  12. 12. Murphy B, Bhattacharya R, Mukherjee P. Hydrogen sulfide signaling in mitochondria and disease. FASEB J. 2019;33(12):13098–125. pmid:31648556
  13. 13. Szabo C, Ransy C, Módis K, Andriamihaja M, Murghes B, Coletta C, et al. Regulation of mitochondrial bioenergetic function by hydrogen sulfide. Part I. Biochemical and physiological mechanisms. Br J Pharmacol. 2014;171(8):2099–122. pmid:23991830
  14. 14. Guarnieri JW, Haltom JA, Albrecht YES, Lie T, Olali AZ, Widjaja GA, et al. SARS-CoV-2 mitochondrial metabolic and epigenomic reprogramming in COVID-19. Pharmacol Res. 2024;204:107170. pmid:38614374
  15. 15. Li H, Ma Y, Escaffre O, Ivanciuc T, Komaravelli N, Kelley JP, et al. Role of hydrogen sulfide in paramyxovirus infections. J Virol. 2015;89(10):5557–68. pmid:25740991
  16. 16. Lin Y, Zeng H, Gao L, Gu T, Wang C, Zhang H. Hydrogen Sulfide Attenuates Atherosclerosis in a Partially Ligated Carotid Artery Mouse model via Regulating Angiotensin Converting Enzyme 2 Expression. Front Physiol. 2017;8:782. pmid:29066981
  17. 17. Pozzi G, Masselli E, Gobbi G, Mirandola P, Taborda-Barata L, Ampollini L, et al. Hydrogen Sulfide Inhibits TMPRSS2 in Human Airway Epithelial Cells: Implications for SARS-CoV-2 Infection. Biomedicines. 2021;9(9):1273. pmid:34572459
  18. 18. Onikienko S, Vinokurov M, Yurinskaya M, Zemlyanoi A, Abkin S, Shaykhutdinova E, et al. The Effects of H2S and Recombinant Human Hsp70 on Inflammation Induced by SARS and Other Agents In Vitro and In Vivo. Biomedicines. 2022;10(9):2155. pmid:36140256
  19. 19. Hine C, Mitchell JR. Endpoint or Kinetic Measurement of Hydrogen Sulfide Production Capacity in Tissue Extracts. Bio Protoc. 2017;7(13):e2382. pmid:29071285
  20. 20. Filipovic MR, Zivanovic J, Alvarez B, Banerjee R. Chemical Biology of H2S Signaling through Persulfidation. Chem Rev. 2018;118(3):1253–337. pmid:29112440
  21. 21. Dóka É, Pader I, Bíró A, Johansson K, Cheng Q, Ballagó K, et al. A novel persulfide detection method reveals protein persulfide- and polysulfide-reducing functions of thioredoxin and glutathione systems. Sci Adv. 2016;2(1):e1500968. pmid:26844296
  22. 22. Sun Q, Collins R, Huang S, Holmberg-Schiavone L, Anand GS, Tan C-H, et al. Structural basis for the inhibition mechanism of human cystathionine gamma-lyase, an enzyme responsible for the production of H(2)S. J Biol Chem. 2009;284(5):3076–85. pmid:19019829
  23. 23. Alexander BE, Coles SJ, Fox BC, Khan TF, Maliszewski J, Perry A, et al. Investigating the generation of hydrogen sulfide from the phosphonamidodithioate slow-release donor GYY4137. Med Chem Commun. 2015;6(9):1649–55.
  24. 24. Li L, Whiteman M, Guan YY, Neo KL, Cheng Y, Lee SW, et al. Characterization of a novel, water-soluble hydrogen sulfide-releasing molecule (GYY4137): new insights into the biology of hydrogen sulfide. Circulation. 2008;117(18):2351–60. pmid:18443240
  25. 25. Moest RR. Hydrogen sulfide determination by the methylene blue method. Anal Chem. 1975;47(7):1204–5.
  26. 26. Sakuma S, Minamino S, Takase M, Ishiyama Y, Hosokura H, Kohda T, et al. Hydrogen sulfide donor GYY4137 suppresses proliferation of human colorectal cancer Caco-2 cells by inducing both cell cycle arrest and cell death. Heliyon. 2019;5(8):e02244. pmid:31440595
  27. 27. Matsunaga T, Sano H, Takita K, Morita M, Yamanaka S, Ichikawa T, et al. Supersulphides provide airway protection in viral and chronic lung diseases. Nat Commun. 2023;14(1):4476. pmid:37491435
  28. 28. Tain Y-L, Hsu C-N, Lu P-C. Early short-term treatment with exogenous hydrogen sulfide postpones the transition from prehypertension to hypertension in spontaneously hypertensive rat. Clin Exp Hypertens. 2018;40(1):58–64. pmid:29072501
  29. 29. Zhao K, Li S, Wu L, Lai C, Yang G. Hydrogen sulfide represses androgen receptor transactivation by targeting at the second zinc finger module. J Biol Chem. 2014;289(30):20824–35. pmid:24942741
  30. 30. Matsuyama S, Nao N, Shirato K, Kawase M, Saito S, Takayama I, et al. Enhanced isolation of SARS-CoV-2 by TMPRSS2-expressing cells. Proc Natl Acad Sci U S A. 2020;117(13):7001–3. pmid:32165541
  31. 31. Rehwinkel J, Gack MU. RIG-I-like receptors: their regulation and roles in RNA sensing. Nat Rev Immunol. 2020;20(9):537–51. pmid:32203325
  32. 32. Chew T, Noyce R, Collins SE, Hancock MH, Mossman KL. Characterization of the interferon regulatory factor 3-mediated antiviral response in a cell line deficient for IFN production. Mol Immunol. 2009;46(3):393–9. pmid:19038458
  33. 33. Blanco-Melo D, Nilsson-Payant BE, Liu W-C, Uhl S, Hoagland D, Møller R, et al. Imbalanced Host Response to SARS-CoV-2 Drives Development of COVID-19. Cell. 2020;181(5):1036-1045.e9. pmid:32416070
  34. 34. Zhou Q, Zhang L, Dong Y, Wang Y, Zhang B, Zhou S, et al. The role of SARS-CoV-2-mediated NF-κB activation in COVID-19 patients. Hypertens Res. 2024;47(2):375–84. pmid:37872376
  35. 35. Ramasamy S, Subbian S. Critical Determinants of Cytokine Storm and Type I Interferon Response in COVID-19 Pathogenesis. Clin Microbiol Rev. 2021;34(3):e00299-20. pmid:33980688
  36. 36. de Oliveira AA, Priviero F, Lima VV, Webb RC, Nunes KP. COVID-19 and ROS Storm: What is the Forecast for Hypertension. American Journal of Hypertension. 2021;34(8):779–82.
  37. 37. Ma Q. Role of nrf2 in oxidative stress and toxicity. Annu Rev Pharmacol Toxicol. 2013;53:401–26. pmid:23294312
  38. 38. Mullen PJ, Garcia G Jr, Purkayastha A, Matulionis N, Schmid EW, Momcilovic M, et al. SARS-CoV-2 infection rewires host cell metabolism and is potentially susceptible to mTORC1 inhibition. Nat Commun. 2021;12(1):1876. pmid:33767183
  39. 39. Wang X, Zhao Y, Yan F, Wang T, Sun W, Feng N, et al. Viral and Host Transcriptomes in SARS-CoV-2-Infected Human Lung Cells. J Virol. 2021;95(18):e0060021. pmid:34106002
  40. 40. Qin C, Rao Y, Yuan H, Wang T-Y, Zhao J, Espinosa B, et al. SARS-CoV-2 couples evasion of inflammatory response to activated nucleotide synthesis. Proc Natl Acad Sci U S A. 2022;119(26):e2122897119. pmid:35700355
  41. 41. Sepúlveda CS, García CC, Damonte EB. Inhibitors of Nucleotide Biosynthesis as Candidates for a Wide Spectrum of Antiviral Chemotherapy. Microorganisms. 2022;10(8):1631. pmid:36014049
  42. 42. Makiyama K, Hazawa M, Kobayashi A, Lim K, Voon DC, Wong RW. NSP9 of SARS-CoV-2 attenuates nuclear transport by hampering nucleoporin 62 dynamics and functions in host cells. Biochem Biophys Res Commun. 2022;586:137–42. pmid:34844119
  43. 43. Zhang Y, Xin B, Liu Y, Jiang W, Han W, Deng J, et al. SARS-COV-2 protein NSP9 promotes cytokine production by targeting TBK1. Front Immunol. 2023;14:1211816. pmid:37854611
  44. 44. Bharadwaj S, Singh M, Kirtipal N, Kang SG. SARS-CoV-2 and Glutamine: SARS-CoV-2 Triggered Pathogenesis via Metabolic Reprograming of Glutamine in Host Cells. Front Mol Biosci. 2021;7:627842. pmid:33585567
  45. 45. Thai M, Thaker SK, Feng J, Du Y, Hu H, Ting Wu T, et al. MYC-induced reprogramming of glutamine catabolism supports optimal virus replication. Nat Commun. 2015;6:8873. pmid:26561297
  46. 46. Slaughter AL, D’Alessandro A, Moore EE, Banerjee A, Silliman CC, Hansen KC, et al. Glutamine metabolism drives succinate accumulation in plasma and the lung during hemorrhagic shock. J Trauma Acute Care Surg. 2016;81(6):1012–9. pmid:27602903
  47. 47. Almulla AF, Supasitthumrong T, Tunvirachaisakul C, Algon AAA, Al-Hakeim HK, Maes M. The tryptophan catabolite or kynurenine pathway in COVID-19 and critical COVID-19: a systematic review and meta-analysis. BMC Infect Dis. 2022;22(1).
  48. 48. Castro-Portuguez R, Sutphin GL. Kynurenine pathway, NAD+ synthesis, and mitochondrial function: Targeting tryptophan metabolism to promote longevity and healthspan. Experimental Gerontology. 2020;132:110841.
  49. 49. Dehhaghi M, Heydari M, Panahi HKS, Lewin SR, Heng B, Brew BJ, et al. The roles of the kynurenine pathway in COVID-19 neuropathogenesis. Infection. 2024;52(5):2043–59.
  50. 50. Lawler NG, Gray N, Kimhofer T, Boughton B, Gay M, Yang R, et al. Systemic Perturbations in Amine and Kynurenine Metabolism Associated with Acute SARS-CoV-2 Infection and Inflammatory Cytokine Responses. J Proteome Res. 2021;20(5):2796–811. pmid:33724837
  51. 51. Lionetto L, Ulivieri M, Capi M, De Bernardini D, Fazio F, Petrucca A, et al. Increased kynurenine-to-tryptophan ratio in the serum of patients infected with SARS-CoV2: An observational cohort study. Biochim Biophys Acta Mol Basis Dis. 2021;1867(3):166042. pmid:33338598
  52. 52. Shen B, Yi X, Sun Y, Bi X, Du J, Zhang C, et al. Proteomic and Metabolomic Characterization of COVID-19 Patient Sera. Cell. 2020;182(1):59-72.e15. pmid:32492406
  53. 53. Xiao N, Nie M, Pang H, Wang B, Hu J, Meng X, et al. Integrated cytokine and metabolite analysis reveals immunometabolic reprogramming in COVID-19 patients with therapeutic implications. Nat Commun. 2021;12(1):1618. pmid:33712622
  54. 54. Bachhawat AK, Yadav S. The glutathione cycle: Glutathione metabolism beyond the γ-glutamyl cycle. IUBMB Life. 2018;70(7):585–92. pmid:29667297
  55. 55. Lim J, Li L, Jacobs MD, Kistler J, Donaldson PJ. Mapping of glutathione and its precursor amino acids reveals a role for GLYT2 in glycine uptake in the lens core. Invest Ophthalmol Vis Sci. 2007;48(11):5142–51. pmid:17962467
  56. 56. Perła-Kaján J, Jakubowski H. COVID-19 and One-Carbon Metabolism. Int J Mol Sci. 2022;23(8):4181. pmid:35456998
  57. 57. Zhang Y, Guo R, Kim SH, Shah H, Zhang S, Liang JH, et al. SARS-CoV-2 hijacks folate and one-carbon metabolism for viral replication. Nat Commun. 2021;12(1).
  58. 58. Giulidori P, Galli-Kienle M, Catto E, Stramentinoli G. Transmethylation, transsulfuration, and aminopropylation reactions of S-adenosyl-L-methionine in vivo. Journal of Biological Chemistry. 1984;259(7):4205–11.
  59. 59. Gao J, Cahill CM, Huang X, Roffman JL, Lamon-Fava S, Fava M, et al. S-Adenosyl Methionine and Transmethylation Pathways in Neuropsychiatric Diseases Throughout Life. Neurotherapeutics. 2018;15(1):156–75. pmid:29340929
  60. 60. Diehl FF, Lewis CA, Fiske BP, Vander Heiden MG. Cellular redox state constrains serine synthesis and nucleotide production to impact cell proliferation. Nat Metab. 2019;1(9):861–7. pmid:31598584
  61. 61. He L, Long J, Zhou X, Liu Y, Li T, Wu X. Serine is required for the maintenance of redox balance and proliferation in the intestine under oxidative stress. FASEB J. 2020;34(3):4702–17. pmid:32030825
  62. 62. Fujisawa S, Kadoma Y. Kinetic evaluation of polyamines as radical scavengers. Anticancer Res. 2005.
  63. 63. Ha HC, Sirisoma NS, Kuppusamy P, Zweier JL, Woster PM, Jr Casero RA. The natural polyamine spermine functions directly as a free radical scavenger. Proc Natl Acad Sci U S A. 1998;95(19):11140–5. pmid:9736703
  64. 64. Han X, Wang D, Yang L, Wang N, Shen J, Wang J, et al. Activation of polyamine catabolism promotes glutamine metabolism and creates a targetable vulnerability in lung cancer. Proc Natl Acad Sci U S A. 2024;121(13):e2319429121. pmid:38513095
  65. 65. Smirnova OA, Bartosch B, Zakirova NF, Kochetkov SN, Ivanov AV. Polyamine Metabolism and Oxidative Protein Folding in the ER as ROS-Producing Systems Neglected in Virology. Int J Mol Sci. 2018;19(4):1219. pmid:29673197
  66. 66. Bhaskar A, Munshi M, Khan SZ, Fatima S, Arya R, Jameel S, et al. Measuring glutathione redox potential of HIV-1-infected macrophages. J Biol Chem. 2015;290(2):1020–38. pmid:25406321
  67. 67. Gutscher M, Pauleau A-L, Marty L, Brach T, Wabnitz GH, Samstag Y, et al. Real-time imaging of the intracellular glutathione redox potential. Nat Methods. 2008;5(6):553–9. pmid:18469822
  68. 68. Singh S, Ghosh S, Pal VK, Munshi M, Shekar P, Narasimha Murthy DT, et al. Antioxidant nanozyme counteracts HIV-1 by modulating intracellular redox potential. EMBO Mol Med. 2021;13(5):e13314. pmid:33793064
  69. 69. Tyagi P, Pal VK, Agrawal R, Singh S, Srinivasan S, Singh A. Mycobacterium tuberculosis Reactivates HIV-1 via Exosome-Mediated Resetting of Cellular Redox Potential and Bioenergetics. mBio. 2020;11(2):e03293-19. pmid:32127457
  70. 70. Pal VK, Agrawal R, Rakshit S, Shekar P, Murthy DTN, Vyakarnam A, et al. Hydrogen sulfide blocks HIV rebound by maintaining mitochondrial bioenergetics and redox homeostasis. Elife. 2021;10:e68487. pmid:34792020
  71. 71. Manna S, Agrawal R, Yadav T, Kumar TA, Kumari P, Dalai A, et al. Orthogonal Persulfide Generation through Precision Tools Provides Insights into Mitochondrial Sulfane Sulfur. Angew Chem Int Ed Engl. 2024;63(46):e202411133. pmid:39091222
  72. 72. Borisov VB, Forte E. Impact of Hydrogen Sulfide on Mitochondrial and Bacterial Bioenergetics. Int J Mol Sci. 2021;22(23):12688. pmid:34884491
  73. 73. Dorman DC, Moulin FJ-M, McManus BE, Mahle KC, James RA, Struve MF. Cytochrome oxidase inhibition induced by acute hydrogen sulfide inhalation: correlation with tissue sulfide concentrations in the rat brain, liver, lung, and nasal epithelium. Toxicol Sci. 2002;65(1):18–25. pmid:11752681
  74. 74. Hourihan JM, Kenna JG, Hayes JD. The gasotransmitter hydrogen sulfide induces nrf2-target genes by inactivating the keap1 ubiquitin ligase substrate adaptor through formation of a disulfide bond between cys-226 and cys-613. Antioxid Redox Signal. 2013;19(5):465–81. pmid:23145493
  75. 75. Yang G, Zhao K, Ju Y, Mani S, Cao Q, Puukila S, et al. Hydrogen sulfide protects against cellular senescence via S-sulfhydration of Keap1 and activation of Nrf2. Antioxid Redox Signal. 2013;18(15):1906–19. pmid:23176571
  76. 76. Baird L, Yamamoto M. The Molecular Mechanisms Regulating the KEAP1-NRF2 Pathway. Mol Cell Biol. 2020;40(13):e00099-20. pmid:32284348
  77. 77. Holmström KM, Kostov RV, Dinkova-Kostova AT. The multifaceted role of Nrf2 in mitochondrial function. Curr Opin Toxicol. 2016;1:80–91. pmid:28066829
  78. 78. Fourtounis J, Wang I-M, Mathieu M-C, Claveau D, Loo T, Jackson AL, et al. Gene expression profiling following NRF2 and KEAP1 siRNA knockdown in human lung fibroblasts identifies CCL11/Eotaxin-1 as a novel NRF2 regulated gene. Respir Res. 2012;13(1):92. pmid:23061798
  79. 79. Wu J, Tian Z, Sun Y, Lu C, Liu N, Gao Z, et al. Exogenous H2S facilitating ubiquitin aggregates clearance via autophagy attenuates type 2 diabetes-induced cardiomyopathy. Cell Death Dis. 2017;8(8):e2992–e2992.
  80. 80. Leist SR, 3rd Dinnon KH, Schäfer A, Tse LV, Okuda K, Hou YJ, et al. A Mouse-Adapted SARS-CoV-2 Induces Acute Lung Injury and Mortality in Standard Laboratory Mice. Cell. 2020;183(4):1070-1085.e12. pmid:33031744
  81. 81. Ivanciuc T, Sbrana E, Ansar M, Bazhanov N, Szabo C, Casola A, et al. Hydrogen Sulfide Is an Antiviral and Antiinflammatory Endogenous Gasotransmitter in the Airways. Role in Respiratory Syncytial Virus Infection. Am J Respir Cell Mol Biol. 2016;55(5):684–96. pmid:27314446
  82. 82. Menachery VD, Gralinski LE, Baric RS, Ferris MT. New Metrics for Evaluating Viral Respiratory Pathogenesis. PLoS One. 2015;10(6):e0131451. pmid:26115403
  83. 83. Han F, Subramanian S, Price ER, Nadeau J, Strohl KP. Periodic breathing in the mouse. J Appl Physiol (1985). 2002;92(3):1133–40. pmid:11842050
  84. 84. Imai M, Iwatsuki-Horimoto K, Hatta M, Loeber S, Halfmann PJ, Nakajima N, et al. Syrian hamsters as a small animal model for SARS-CoV-2 infection and countermeasure development. Proc Natl Acad Sci U S A. 2020;117(28):16587–95. pmid:32571934
  85. 85. Bartolini D, Stabile AM, Bastianelli S, Giustarini D, Pierucci S, Busti C, et al. SARS-CoV2 infection impairs the metabolism and redox function of cellular glutathione. Redox Biol. 2021;45:102041. pmid:34146958
  86. 86. Fu Y, Cheng Y, Wu Y. Understanding SARS-CoV-2-Mediated Inflammatory Responses: From Mechanisms to Potential Therapeutic Tools. Virol Sin. 2020;35(3):266–71. pmid:32125642
  87. 87. Martínez-Colón GJ, Ratnasiri K, Chen H, Jiang S, Zanley E, Rustagi A, et al. SARS-CoV-2 infection drives an inflammatory response in human adipose tissue through infection of adipocytes and macrophages. Sci Transl Med. 2022;14(674):eabm9151. pmid:36137009
  88. 88. Coavoy-Sanchez SA, da Costa Marques LA, Costa SKP, Muscara MN. Role of Gasotransmitters in Inflammatory Edema. Antioxid Redox Signal. 2024;40(4–6):272–91. pmid:36974358
  89. 89. Sanchez LD, Sanchez-Aranguren L, Marwah M, Wang K, Spickett CM, Griffiths HR, et al. Exploring mitochondrial hydrogen sulfide signalling for therapeutic interventions in vascular diseases. Advances in Redox Research. 2022;4:100030.
  90. 90. Haas de Mello A, Liu T, Garofalo RP, Casola A. Hydrogen Sulfide Donor GYY4137 Rescues NRF2 Activation in Respiratory Syncytial Virus Infection. Antioxidants (Basel). 2022;11(7):1410. pmid:35883901
  91. 91. Qu Y, Haas de Mello A, Morris DR, Jones-Hall YL, Ivanciuc T, Sattler RA, et al. SARS-CoV-2 Inhibits NRF2-Mediated Antioxidant Responses in Airway Epithelial Cells and in the Lung of a Murine Model of Infection. Microbiol Spectr. 2023;11(3):e0037823. pmid:37022178
  92. 92. Cuevasanta E, Lange M, Bonanata J, Coitiño EL, Ferrer-Sueta G, Filipovic MR, et al. Reaction of Hydrogen Sulfide with Disulfide and Sulfenic Acid to Form the Strongly Nucleophilic Persulfide. J Biol Chem. 2015;290(45):26866–80. pmid:26269587
  93. 93. Bagdonas M, Čerepenkaitė K, Mickevičiūtė A, Kananavičiūtė R, Grybaitė B, Anusevičius K, et al. Screening, Synthesis and Biochemical Characterization of SARS-CoV-2 Protease Inhibitors. Int J Mol Sci. 2023;24(17):13491. pmid:37686295
  94. 94. Du L, Xie Y, Zheng K, Wang N, Gao M, Yu T, et al. Oxidative stress transforms 3CLpro into an insoluble and more active form to promote SARS-CoV-2 replication. Redox Biol. 2021;48:102199. pmid:34847508
  95. 95. Grishin AM, Dolgova NV, Landreth S, Fisette O, Pickering IJ, George GN, et al. Disulfide Bonds Play a Critical Role in the Structure and Function of the Receptor-binding Domain of the SARS-CoV-2 Spike Antigen. J Mol Biol. 2022;434(2):167357. pmid:34780781
  96. 96. Lan J, Ge J, Yu J, Shan S, Zhou H, Fan S, et al. Structure of the SARS-CoV-2 spike receptor-binding domain bound to the ACE2 receptor. Nature. 2020;581(7807):215–20. pmid:32225176
  97. 97. Reinke PYA, Schubert R, Oberthür D, Galchenkova M, Rahmani Mashhour A, Günther S, et al. SARS-CoV-2 Mpro responds to oxidation by forming disulfide and NOS/SONOS bonds. Nat Commun. 2024;15(1):3827. pmid:38714735
  98. 98. Shi Y, Zeida A, Edwards CE, Mallory ML, Sastre S, Machado MR, et al. Thiol-based chemical probes exhibit antiviral activity against SARS-CoV-2 via allosteric disulfide disruption in the spike glycoprotein. Proc Natl Acad Sci U S A. 2022;119(6):e2120419119. pmid:35074895
  99. 99. Akerström S, Mousavi-Jazi M, Klingström J, Leijon M, Lundkvist A, Mirazimi A. Nitric oxide inhibits the replication cycle of severe acute respiratory syndrome coronavirus. J Virol. 2005;79(3):1966–9. pmid:15650225
  100. 100. Dominic P, Ahmad J, Bhandari R, Pardue S, Solorzano J, Jaisingh K, et al. Decreased availability of nitric oxide and hydrogen sulfide is a hallmark of COVID-19. Redox Biol. 2021;43:101982. pmid:34020311
  101. 101. Citi V, Martelli A, Brancaleone V, Brogi S, Gojon G, Montanaro R, et al. Anti-inflammatory and antiviral roles of hydrogen sulfide: Rationale for considering H2 S donors in COVID-19 therapy. Br J Pharmacol. 2020;177:4931–4941.
  102. 102. Kabil O, Banerjee R. Redox biochemistry of hydrogen sulfide. J Biol Chem. 2010;285(29):21903–7. pmid:20448039
  103. 103. Maldonato BJ, Russell DA, Totah RA. Human METTL7B is an alkyl thiol methyltransferase that metabolizes hydrogen sulfide and captopril. Sci Rep. 2021;11(1).
  104. 104. Dilek N, Papapetropoulos A, Toliver-Kinsky T, Szabo C. Hydrogen sulfide: An endogenous regulator of the immune system. Pharmacol Res. 2020;161:105119. pmid:32781284
  105. 105. Pozzi G, Gobbi G, Masselli E, Carubbi C, Presta V, Ambrosini L, et al. Buffering Adaptive Immunity by Hydrogen Sulfide. Cells. 2022;11(3):325. pmid:35159135
  106. 106. Li X, Toyomoto T, Zhang T, Guo C, Lindahl S, Tsutsuki H, et al. Supersulphides suppress type-I and type-II interferon responses by blocking JAK/STAT signalling in macrophages. Int Immunol. 2024;36(12):641–52. pmid:38899915
  107. 107. Zainol Abidin QH, Ida T, Morita M, Matsunaga T, Nishimura A, Jung M, et al. Synthesis of Sulfides and Persulfides Is Not Impeded by Disruption of Three Canonical Enzymes in Sulfur Metabolism. Antioxidants (Basel). 2023;12(4):868. pmid:37107243
  108. 108. Akaike T, Ida T, Wei F-Y, Nishida M, Kumagai Y, Alam MM, et al. Cysteinyl-tRNA synthetase governs cysteine polysulfidation and mitochondrial bioenergetics. Nat Commun. 2017;8(1):1177. pmid:29079736
  109. 109. Mendoza EJ, Manguiat K, Wood H, Drebot M. Two Detailed Plaque Assay Protocols for the Quantification of Infectious SARS‐CoV‐2. CP Microbiology. 2020;57(1).
  110. 110. van Meerloo J, Kaspers GJL, Cloos J. Cell sensitivity assays: the MTT assay. Methods Mol Biol. 2011;731:237–45. pmid:21516412
  111. 111. Babraham Bioinformatics - FastQC A Quality Control tool for High Throughput Sequence Data. [6 Dec 2024. ]. https://www.bioinformatics.babraham.ac.uk/projects/fastqc/
  112. 112. Kim D, Langmead B, Salzberg SL. HISAT: a fast spliced aligner with low memory requirements. Nat Methods. 2015;12(4):357–60. pmid:25751142
  113. 113. Pertea M, Kim D, Pertea GM, Leek JT, Salzberg SL. Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown. Nat Protoc. 2016;11(9):1650–67. pmid:27560171
  114. 114. Danecek P, Bonfield JK, Liddle J, Marshall J, Ohan V, Pollard MO, et al. Twelve years of SAMtools and BCFtools. Gigascience. 2021;10(2):giab008. pmid:33590861
  115. 115. Kovaka S, Zimin AV, Pertea GM, Razaghi R, Salzberg SL, Pertea M. Transcriptome assembly from long-read RNA-seq alignments with StringTie2. Genome Biol. 2019;20(1):278. pmid:31842956
  116. 116. Chen Y, Lun ATL, Smyth GK. From reads to genes to pathways: differential expression analysis of RNA-Seq experiments using Rsubread and the edgeR quasi-likelihood pipeline. F1000Res. 2016;5:1438. pmid:27508061
  117. 117. Robinson MD, McCarthy DJ, Smyth GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2010;26(1):139–40. pmid:19910308
  118. 118. Korotkevich G, Sukhov V, Budin N, Shpak B, Artyomov MN, Sergushichev A. Fast gene set enrichment analysis. Cold Spring Harbor Laboratory. 2016. https://doi.org/10.1101/060012
  119. 119. Pang Z, Lu Y, Zhou G, Hui F, Xu L, Viau C, et al. MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation. Nucleic Acids Research. 2024;52(W1):W398–406.
  120. 120. Malladi SK, Patel UR, Rajmani RS, Singh R, Pandey S, Kumar S, et al. Immunogenicity and Protective Efficacy of a Highly Thermotolerant, Trimeric SARS-CoV-2 Receptor Binding Domain Derivative. ACS Infect Dis. 2021;7(8):2546–64.
  121. 121. Mitchison DA, Wallace JG, Bhatia AL, Selkon JB, Subbaiah TV, Lancaster MC. A comparison of the virulence in Guinea-pigs of south indian and British tubercle bacilli. Tubercle. 1960;41(1):1–22.