Skip to main content
Advertisement
  • Loading metrics

Fueling silence: Metabolic control of latent viral infection

  • Haixi You,

    Roles Conceptualization, Writing – original draft, Writing – review & editing

    Affiliation Department of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, Massachusetts, United States of America

  • Rui Guo

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Project administration, Supervision, Visualization, Writing – original draft, Writing – review & editing

    rui.guo@tufts.edu

    Affiliation Department of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, Massachusetts, United States of America

Altered metabolism as a foundation of viral latency

Latent viral infection is a long-term state in which the viral genome persists in host cells without production of infectious virions. In this type of infection, the virus maintains its genetic material either by integrating into the host genome or by retaining it as an extrachromosomal episome, and the viral genome is propagated through routine host DNA replication during cell division rather than through productive lytic amplification. Latent infection represents a delicate balance between genome maintenance and host defense. Many latent viruses promote cell survival, and in some cases, such as Epstein–Barr virus (EBV), this state can progress towards oncogenic transformation [1]. To sustain long-term coexistence, viruses extensively reprogram host metabolism, redirecting nutrient flux into pathways that support energy production and biosynthesis required for cell viability. Beyond fueling survival, metabolic intermediates including acetyl-CoA, S-adenosylmethionine (SAM), α-ketoglutarate, NAD, and O2 also act as substrates and cofactors for enzymes that write and erase epigenetic and post-translational modifications [2]. In this way, metabolic state can set the tone of latent viral chromatin and immune signaling. Importantly, stress inputs and latent viral gene products clearly contribute to latent infection as comprehensively reviewed [39], but here in this Pearls, we focus on how metabolic control nodes integrate those upstream cues to establish reactivation thresholds and immune evasion during latent infection. The examples discussed here are intended to illustrate emerging concepts rather than to provide a comprehensive review of latency mechanisms.

Metabolite-mediated control of innate antiviral signaling

Pattern recognition receptors (PRRs), including RIG I-like receptors (RLRs), Toll-like receptors (TLRs), and the cytosolic DNA sensor cGAS, require adequate metabolic support for proper activation and downstream signaling, including sufficient ATP, GTP, and NAD+ [1012]. At the same time, certain metabolites can directly modulate these pathways, either suppressing or enhancing antiviral responses [1315]. Viral infection can actively reshape these metabolite pools and thereby influence the overall immune response. Recent studies of chronic and persistent viral infection provide direct mechanistic support for this concept. In hepatitis B virus (HBV) infection, viral induction of lactate dehydrogenase A (LDHA) increases lactate production, and the accumulated lactate binds directly to MAVS, preventing its aggregation on mitochondria and thereby inhibiting RLR-mediated interferon induction [16]. Human cytomegalovirus (HCMV) employs a distinct but conceptually related strategy. HCMV infection induces aerobic glycolysis and lactate accumulation, which in turn drives widespread lysine lactylation of host and viral proteins [17]. Tyl and colleagues found that lactyl lysine marks are enriched in intrinsically disordered regions and accumulate on key immune effectors, including the DNA sensor interferon gamma inducible protein 16 (IFI16). Specifically, K90 lactylation of IFI16 blocks recruitment of the DNA damage response kinase DNA-PK, thereby suppressing IFI16-driven viral gene repression and cytokine induction [17]. Asparagine has been recently demonstrated that directly binds TANK binding kinase 1 (TBK1) and promotes its phase separation and activation, thereby enhancing interferon responses [18]. Notably, herpes simplex virus 1 (HSV-1) counteracts this pathway by reducing expression of asparagine synthetase (ASNS), creating an asparagine-restricted state that limits TBK1 activation and helps the virus evade host innate immunity [18].

Metabolic control of proviral silencing and reactivation in HIV

In lentiviruses such as HIV-1, latency is achieved through integrated proviral latency, where the viral genome is inserted into host chromatin and can remain transcriptionally silent in long-lived CD4+ T cell populations. During HIV proviral latency, cellular metabolic state is tightly coupled to the probability of proviral transcription and reactivation. The mTOR complex has been identified as a key regulator of HIV latency, where genetic or pharmacologic inhibition of mTOR signaling suppresses reversal of latency and reduces HIV transcription in multiple latency models and in cells from infected individuals [19]. Multi-omics analyses in primary CD4+ T cell infection models show that the transition to latency is accompanied by progressive downregulation of glycolysis [20]. Latently infected cells instead engage the pentose phosphate pathway. This supports NADPH production and antioxidant programs that help maintain HIV-1 latency [20]. Notably, glucose uptake can be rate-limiting for permissiveness; glucose transporter 1 (GLUT1) mediated glucose transport regulates HIV-1 infection in human CD4+ T cells and thymocytes [21]. Metabolic enzymes can also couple nutrient flux to proviral chromatin state. For example, acyl-CoA synthetase short-chain family member 2 (ACSS2) driven histone crotonylation at the HIV long terminal repeat was reported to disrupt latency and promote transcription [22].

Methionine metabolism and methyl donor availability govern episomal chromatin states

Metabolism also extends its influence at the chromatin level, where it imprints durable control over viral gene expression. In EBV-infected cells, the latent episome is embedded within host chromatin and maintained through continuous input from metabolic pathways that supply cofactors for episomal chromatin modifications. Recent work has highlighted the pivotal role of the methionine cycle and its interconnected folate cycle in sustaining EBV latent genome methylation. The folate cycle supports the methionine cycle by regenerating methyl groups via 5-methyltetrahydrofolate, which donates a methyl group to homocysteine to reform methionine, ensuring a steady supply of SAM for methylation reactions [23]. Methionine is then converted by methionine adenosyltransferase into SAM, the universal methyl donor for DNA and histone methyltransferases [23]. In EBV-infected B cells, perturbation of this pathway, through methionine restriction or inhibition of folate cycle, reduces intracellular SAM, lowering methylation potential. This shift induces hypomethylation of the EBV episome, marked by loss of 5-methylcytosine (5mC) at CpG islands within latent promoters, and reactivation of lytic and latent membrane protein genes [24]. In parallel, methionine-cycle disruption also diminishes repressive histone methylation marks, notably H3K9me3 and H3K27me3, further relaxing chromatin and promoting transcriptional derepression of the viral genome [24] (Fig 1).

thumbnail
Fig 1. A schematic illustration depicting how metabolites influence the epigenetic regulation of latent EBV episomes.

Multiple metabolic pathways exist, but only those relevant to this Pearls are shown. Abbreviations: SAM, S-adenosylmethionine; α-KG, α-ketoglutarate; TCA cycle, tricarboxylic acid cycle; MTs, methyltransferases; TET, ten-eleven translocation dioxygenases; JMJD, Jumonji C domain containing histone demethylases; HATs, histone acetyltransferases; ACLY, ATP citrate lyase; Me, methylation; Ac, acetylation. This figure was created using biorender.

https://doi.org/10.1371/journal.ppat.1014092.g001

Acetyl-CoA flux and histone acetylation as universal levers of herpesvirus reactivation

Histone acetylation represents a metabolically controlled axis that governs latency and reactivation across the herpesvirus family. In latently infected cell models across multiple herpesviruses, including EBV, Kaposi’s sarcoma-associated herpesvirus (KSHV), HSV-1, and HCMV, histone deacetylase inhibitors (HDACi) such as sodium butyrate and trichostatin A induce hyperacetylation of histones H3 and H4 at viral immediate-early promoters, leading to robust reactivation from latency [2529]. This increased acetylation reflects the net activity of histone acetyltransferases (HATs) such as p300, which deposit activating acetyl marks that open chromatin and promote transcription factor access at these promoters. These findings demonstrate that the acetylation state of viral chromatin directly determines its transcriptional permissiveness (Fig 1).

In mammalian cells, the acetyl groups used for histone modification are primarily supplied by acetyl-CoA generated through ATP-citrate lyase (ACLY), which converts citrate exported from mitochondria into nucleocytosolic acetyl-CoA. Because ACLY localizes to both cytosol and nucleus, where it associates with chromatin and supports histone acetyltransferase activity, it provides the primary source of acetyl-CoA for histone acetylation under nutrient-replete conditions [30] (Fig 1). While no direct experimental evidence yet links ACLY activity to herpesviral chromatin acetylation, this pathway plausibly integrates metabolic flux with epigenetic accessibility of latent viral genomes, potentially influencing reactivation thresholds across herpesvirus infections.

Oxygen-dependent epigenetic control of viral latency

The regulation of viral latency extends beyond intracellular metabolism. The tissue microenvironment matters. Oxygen and nutrient availability can reshape the epigenetic state of infected cells. In EBV infection, the germinal center has been proposed to play a key role in latency development [31,32]. In mouse secondary lymphoid tissues, germinal centers show low oxygen tension, with the light zone reported to be below 1% O2. More broadly, lymphoid tissues are typically below 3% O2. Limited vascularization likely contributes to this hypoxic niche [31,33]. This hypoxic condition directly impinges on oxygen-dependent chromatin enzymes, particularly the Ten-eleven translocation (TET) family of 5mC dioxygenases. Among these, TET2 requires both α-ketoglutarate, derived from the tricarboxylic acid cycle, Fe2+, and oxygen as essential cofactors to convert 5mC into 5-hydroxymethylcytosine (5hmC) (Fig 1). In GC B-cells, TET2 enzymatic activity is markedly reduced, leading to the accumulation of 5mC and loss of 5hmC marks across both host and viral genomes [34]. Consistent with this, Burkitt's lymphoma is thought to arise from GC B cells, and epigenetic programs established in the GC could persist after tumor cells exit that microenvironment. In EBV-positive Burkitt lymphoma, TET2 expression and activity are suppressed, and the viral episome remains densely methylated, consistent with a deeply silent latent state [35]. Recent metabolomic profiling further shows that EBV-infected B cells adapt to this GC-like environment through global metabolic remodeling, characterized by suppression of oxidative phosphorylation and fatty acid synthesis, increased reliance on glycolysis, and uptake of extracellular lipids [36]. These adaptations preserve redox homeostasis and sustain survival under low O2, but they also reduce NAD⁺ and acetyl-CoA availability, thereby limiting the activity of histone acetyltransferases [2,36].

Histone methylation provides a second O2-sensitive epigenetic axis that can reinforce latency in parallel with DNA methylation changes. Work in HSV-1 latency established a foundational model in which lytic gene promoters on latent viral genomes are enriched for heterochromatin marks including H3K27me3 and H3K9me3, restricting immediate early gene expression during latency [37,38]. Reactivation requires removal of these repressive histone methylation marks by histone demethylases, and inhibition of these enzymes blocks α-herpesvirus lytic replication and reactivation [3840]. Interestingly, many of the relevant demethylases belong to the Jumonji C domain containing family, which are Fe2+ and α-ketoglutarate-dependent dioxygenases that also require O2 for catalysis. As O2 levels drop, demethylase activity decline, shifting chromatin toward higher methylation states even without changes in transcription factor inputs [41]. In EBV latency, H3K27me3 is likewise a core repressive mark at the immediate early lytic promoters, specifically the BZLF1 (Zp) and BRLF1 (Rp) promoters that encode the Zta and Rta transcription factors that initiate lytic cycle entry [42]. This repression is potentially reinforced in hypoxic microenvironments like GC. The major H3K27me3 demethylases KDM6A and KDM6B are JMJDs, and KDM6A has been shown to directly sense O2, with hypoxia reducing its H3K27 demethylation capacity and increasing H3K27 methylation independently of HIF signaling [43]. This could potentially favor maintenance of a repressive H3K27 methylation state on the herpeviral episomes.

Interestingly, GC-like hypoxia also stabilizes HIF-1α, a transcription factor capable of activating the immediate-early promoters of EBV and KSHV to initiate the lytic cycle in cell culture models [44,45]. At first glance, this seems paradoxical, because the GC microenvironment is otherwise strongly repressive to viral gene expression. This contradiction can be resolved by a model in which HIF-1α-driven lytic activation is counterbalanced, and ultimately overridden, by epigenetic and metabolic constraints imposed by the GC niche in vivo. Within the hypoxic and nutrient-limited GCs, viral promoters acquire DNA methylation and are packaged into compact chromatin. Simultaneously, limited respiration and TCA cycle reactions restrict the energetic and biosynthetic capacity required to support full viral lytic replication. As a result, even if HIF-1α transiently engages and activates lytic promoters, its transactivation potential can be curtailed by the combined effects of metabolic insufficiency and repressive chromatin architecture. When infected B cells differentiate into memory B cells and exit the GC into normoxic circulation, HIF-1α is destabilized, removing this acute pro-lytic stimulus. However, the heavily methylated, transcriptionally silent viral episome established during GC residency persists. Maintenance factors such as UHRF1, which recruits DNMT1 to hemi-methylated CpG sites during DNA replication, ensure that these repressive methylation patterns on the latent episome are faithfully propagated through subsequent cell divisions [46].

Metabolic control of adaptive immunity in latent viral persistence

Latent viruses also reshape the adaptive immune system by exploiting metabolic checkpoints that govern T-cell function. T lymphocytes rely on distinct metabolic programs to support their effector versus regulatory states: activated effector T cells depend on aerobic glycolysis to sustain proliferation and cytokine production, whereas regulatory T cells (Tregs) and long-lived memory T cells rely predominantly on fatty acid oxidation and oxidative phosphorylation [47]. Viral manipulation of host metabolism has been shown to skew the balance of T-cell subsets and blunt antiviral immunity. For example, EBV nuclear antigen 2 (EBNA2) induces the expression of indoleamine 2,3-dioxygenase 1 (IDO1), a rate-limiting enzyme driving tryptophan catabolism toward kynurenine production [48,49]. Kynurenine is an established ligand for the aryl hydrocarbon receptor (AhR), a transcription factor that promotes Treg differentiation and suppresses effector T-cell proliferation [50,51]. Of interest, conditioned medium from EBV-infected cells restricted T cell expansion through IDO1-mediated tryptophan depletion, while kynurenine accumulation dampened antiviral T cell activity through AhR engagement, thereby promoting an immunosuppressive niche favorable for viral persistence [48] (Fig 2). However, additional in vivo models will be needed to define how broadly this mechanism operates during latent infection.

thumbnail
Fig 2. A schematic illustration showing how virus-induced tryptophan catabolism elevates kynurenine levels, leading to suppression of effector T cells and activation of regulatory T cells (Tregs), thereby promoting immunotolerance during long-term infection in vivo.

Abbreviations: IDO1, indoleamine 2,3 dioxygenase 1; EBNA2, Epstein–Barr virus nuclear antigen 2; AhR, aryl hydrocarbon receptor. This figure was created using biorender.

https://doi.org/10.1371/journal.ppat.1014092.g002

Concluding remarks

Latent viruses exploit host metabolism not simply to support their own replication, but to hard-wire immune evasion into the cell’s biochemical circuitry. Across latent viruses, three principles consistently emerge: (1) metabolic state dictates the strength of innate signaling through direct modification of sensors and adaptors; (2) metabolite availability determines the epigenetic accessibility of latent viral genomes; and (3) metabolic checkpoints shape the differentiation and functional capacity of antiviral T cells. These mechanisms converge on a shared strategy in which viruses avoid detection not by remaining inert, but by actively steering metabolic fluxes into pathways that suppress sensing, restrict chromatin accessibility, and bias adaptive immunity toward tolerance. Key open questions include (1) how latent viral factors remodel nutrient landscapes, and whether this remodeling feedback to fortify latency, (2) whether viral episomes retain metabolite dependent epigenetic memory of past stress that biases future reactivation, (3) which host metabolite transporters act as dominant gatekeepers of latency, and (4) whether infected cells generate local immunosuppressive metabolite gradients at the neighborhood. Answering these questions may reveal leverage points where targeting host metabolic dependencies, rather than viral proteins alone, destabilizes latency or restores antiviral immunity.

Acknowledgments

We thank Dr. Shumin Tan for constructive discussions.

References

  1. 1. Farrell PJ. Epstein-Barr virus and cancer. Annu Rev Pathol. 2019;14:29–53. pmid:30125149
  2. 2. Dai Z, Ramesh V, Locasale JW. The evolving metabolic landscape of chromatin biology and epigenetics. Nat Rev Genet. 2020;21(12):737–53. pmid:32908249
  3. 3. Sausen DG, Bhutta MS, Gallo ES, Dahari H, Borenstein R. Stress-induced Epstein-Barr virus reactivation. Biomolecules. 2021;11(9):1380.
  4. 4. Speck SH, Ganem D. Viral latency and its regulation: lessons from the gamma-herpesviruses. Cell Host Microbe. 2010;8(1):100–15. pmid:20638646
  5. 5. Lieberman PM. Epigenetics and genetics of viral latency. Cell Host Microbe. 2016;19(5):619–28. pmid:27173930
  6. 6. Burton EM, Gewurz BE. Epstein-Barr virus oncoprotein-driven B cell metabolism remodeling. PLoS Pathog. 2022;18(2):e1010254. pmid:35108325
  7. 7. Jones C. Intimate relationship between stress and human alpha‑Herpes Virus 1 (HSV‑1) reactivation from latency. Curr Clin Microbiol Rep. 2023;10(4):236–45. pmid:38173564
  8. 8. Cary DC, Fujinaga K, Peterlin BM. Molecular mechanisms of HIV latency. J Clin Invest. 2016;126(2):448–54. pmid:26731470
  9. 9. Forte E, Zhang Z, Thorp EB, Hummel M. Cytomegalovirus latency and reactivation: an intricate interplay with the host immune response. Front Cell Infect Microbiol. 2020;10:130. pmid:32296651
  10. 10. Gao P, Ascano M, Wu Y, Barchet W, Gaffney BL, Zillinger T, et al. Cyclic [G(2’,5’)pA(3’,5’)p] is the metazoan second messenger produced by DNA-activated cyclic GMP-AMP synthase. Cell. 2013;153(5):1094–107. pmid:23647843
  11. 11. Minhas PS, Liu L, Moon PK, Joshi AU, Dove C, Mhatre S. Macrophage de novo NAD synthesis specifies immune function in aging and inflammation. Nature Immunology. 2019;20(1):50–63.
  12. 12. Yoneyama M, Kikuchi M, Natsukawa T, Shinobu N, Imaizumi T, Miyagishi M, et al. The RNA helicase RIG-I has an essential function in double-stranded RNA-induced innate antiviral responses. Nat Immunol. 2004;5(7):730–7. pmid:15208624
  13. 13. Zhang W, Wang G, Xu Z-G, Tu H, Hu F, Dai J, et al. Lactate is a natural suppressor of RLR signaling by targeting MAVS. Cell. 2019;178(1):176-189.e15. pmid:31155231
  14. 14. Mills EL, Ryan DG, Prag HA, Dikovskaya D, Menon D, Zaslona Z, et al. Itaconate is an anti-inflammatory metabolite that activates Nrf2 via alkylation of KEAP1. Nature. 2018;556(7699):113–7. pmid:29590092
  15. 15. Lampropoulou V, Sergushichev A, Bambouskova M, Nair S, Vincent EE, Loginicheva E, et al. Itaconate links inhibition of succinate dehydrogenase with macrophage metabolic remodeling and regulation of inflammation. Cell Metab. 2016;24(1):158–66. pmid:27374498
  16. 16. Zhou L, He R, Fang P, Li M, Yu H, Wang Q, et al. Hepatitis B virus rigs the cellular metabolome to avoid innate immune recognition. Nat Commun. 2021;12(1):98. pmid:33397935
  17. 17. Tyl MD, Merengwa VU, Cristea IM. Infection-induced lysine lactylation enables herpesvirus immune evasion. Sci Adv. 2025;11(2):eads6215. pmid:39772686
  18. 18. Du J, Li C, Chai L, Zhao F, Lv L, Yang Z, et al. Asparagine sensing by TBK1 controls its phase separation to drive antiviral innate immune responses. Mol Cell. 2026;86(4):722-739.e8. pmid:41653919
  19. 19. Besnard E, Hakre S, Kampmann M, Lim HW, Hosmane NN, Martin A, et al. The mTOR complex controls HIV latency. Cell Host Microbe. 2016;20(6):785–97. pmid:27978436
  20. 20. Shytaj IL, Procopio FA, Tarek M, Carlon-Andres I, Tang H-Y, Goldman AR, et al. Glycolysis downregulation is a hallmark of HIV-1 latency and sensitizes infected cells to oxidative stress. EMBO Mol Med. 2021;13(8):e13901. pmid:34289240
  21. 21. Loisel-Meyer S, Swainson L, Craveiro M, Oburoglu L, Mongellaz C, Costa C, et al. Glut1-mediated glucose transport regulates HIV infection. Proc Natl Acad Sci U S A. 2012;109(7):2549–54. pmid:22308487
  22. 22. Jiang G, Nguyen D, Archin NM, Yukl SA, Méndez-Lagares G, Tang Y, et al. HIV latency is reversed by ACSS2-driven histone crotonylation. J Clin Invest. 2018;128(3):1190–8. pmid:29457784
  23. 23. Locasale JW. Serine, glycine and one-carbon units: cancer metabolism in full circle. Nat Rev Cancer. 2013;13(8):572–83. pmid:23822983
  24. 24. Guo R, Liang JH, Zhang Y, Lutchenkov M, Li Z, Wang Y, et al. Methionine metabolism controls the B cell EBV epigenome and viral latency. Cell Metab. 2022;34(9):1280-1297.e9. pmid:36070681
  25. 25. Countryman JK, Gradoville L, Miller G. Histone hyperacetylation occurs on promoters of lytic cycle regulatory genes in Epstein-Barr virus-infected cell lines which are refractory to disruption of latency by histone deacetylase inhibitors. J Virol. 2008;82(10):4706–19. pmid:18337569
  26. 26. Jenkins PJ, Binné UK, Farrell PJ. Histone acetylation and reactivation of Epstein-Barr virus from latency. J Virol. 2000;74(2):710–20. pmid:10623733
  27. 27. Lu F, Zhou J, Wiedmer A, Madden K, Yuan Y, Lieberman PM. Chromatin remodeling of the Kaposi’s sarcoma-associated herpesvirus ORF50 promoter correlates with reactivation from latency. J Virol. 2003;77(21):11425–35. pmid:14557628
  28. 28. Nevels M, Paulus C, Shenk T. Human cytomegalovirus immediate-early 1 protein facilitates viral replication by antagonizing histone deacetylation. Proc Natl Acad Sci U S A. 2004;101(49):17234–9. pmid:15572445
  29. 29. Danaher RJ, Jacob RJ, Steiner MR, Allen WR, Hill JM, Miller CS. Histone deacetylase inhibitors induce reactivation of herpes simplex virus type 1 in a latency-associated transcript-independent manner in neuronal cells. J Neurovirol. 2005;11(3):306–17. pmid:16036811
  30. 30. Wellen KE, Hatzivassiliou G, Sachdeva UM, Bui TV, Cross JR, Thompson CB. ATP-citrate lyase links cellular metabolism to histone acetylation. Science. 2009;324(5930):1076–80. pmid:19461003
  31. 31. Roughan JE, Thorley-Lawson DA. The intersection of Epstein-Barr virus with the germinal center. J Virol. 2009;83(8):3968–76. pmid:19193789
  32. 32. SoRelle ED, Reinoso-Vizcaino NM, Horn GQ, Luftig MA. Epstein-Barr virus perpetuates B cell germinal center dynamics and generation of autoimmune-associated phenotypes in vitro. Front Immunol. 2022;13:1001145. pmid:36248899
  33. 33. Abbott RK, Thayer M, Labuda J, Silva M, Philbrook P, Cain DW. Germinal center hypoxia potentiates immunoglobulin class switch recombination. J Immunol. 2016;197(10):4014–20. pmid:27798169
  34. 34. Wille CK, Li Y, Rui L, Johannsen EC, Kenney SC. Restricted TET2 expression in germinal center type B cells promotes stringent Epstein-Barr virus latency. J Virol. 2017;91(5):e01987-16. pmid:28003489
  35. 35. Lu F, Wiedmer A, Martin KA, Wickramasinghe PJMS, Kossenkov AV, Lieberman PM. Coordinate regulation of TET2 and EBNA2 controls the DNA methylation state of latent Epstein-Barr virus. J Virol. 2017;91(20):e00804-17. pmid:28794029
  36. 36. Havey L, You H, Xian H, Asara JM, Guo R. Epstein-Barr virus-transformed B-cells from a hypoxia model of the germinal center requires external unsaturated fatty acids. PLoS Pathog. 2025;21(11):e1013694. pmid:41218077
  37. 37. Whitford AL, Auguste G, Francois AK, Picketts DJ, Boutell C, Miller CL, et al. Interferon dependent immune memory during HSV-1 neuronal latency via increased H3K9me3 and restriction by ATRX. Nat Commun. 2025;17(1):34. pmid:41326404
  38. 38. Cliffe AR, Coen DM, Knipe DM. Kinetics of facultative heterochromatin and polycomb group protein association with the herpes simplex viral genome during establishment of latent infection. mBio. 2013;4(1):e00590-12. pmid:23322639
  39. 39. Bloom DC, Giordani NV, Kwiatkowski DL. Epigenetic regulation of latent HSV-1 gene expression. Biochim Biophys Acta. 2010;1799(3–4):246–56. pmid:20045093
  40. 40. Liang Y, Vogel JL, Narayanan A, Peng H, Kristie TM. Inhibition of the histone demethylase LSD1 blocks alpha-herpesvirus lytic replication and reactivation from latency. Nat Med. 2009;15(11):1312–7. pmid:19855399
  41. 41. Manni W, Jianxin X, Weiqi H, Siyuan C, Huashan S. JMJD family proteins in cancer and inflammation. Signal Transduct Target Ther. 2022;7(1):304. pmid:36050314
  42. 42. Murata T, Kondo Y, Sugimoto A, Kawashima D, Saito S, Isomura H, et al. Epigenetic histone modification of Epstein-Barr virus BZLF1 promoter during latency and reactivation in Raji cells. J Virol. 2012;86(9):4752–61. pmid:22357272
  43. 43. Chakraborty AA, Laukka T, Myllykoski M, Ringel AE, Booker MA, Tolstorukov MY, et al. Histone demethylase KDM6A directly senses oxygen to control chromatin and cell fate. Science. 2019;363(6432):1217–22. pmid:30872525
  44. 44. Kraus RJ, Cordes B-LA, Sathiamoorthi S, Patel P, Yuan X, Iempridee T, et al. Reactivation of Epstein-Barr virus by HIF-1α requires p53. J Virol. 2020;94(18):e00722-20. pmid:32641480
  45. 45. Lee S-C, Naik NG, Tombácz D, Gulyás G, Kakuk B, Boldogkői Z, et al. Hypoxia and HIF-1α promote lytic de novo KSHV infection. J Virol. 2023;97(11):e0097223. pmid:37909728
  46. 46. Guo R, Zhang Y, Teng M, Jiang C, Schineller M, Zhao B, et al. DNA methylation enzymes and PRC1 restrict B-cell Epstein-Barr virus oncoprotein expression. Nat Microbiol. 2020;5(8):1051–63. pmid:32424339
  47. 47. Patsoukis N, Bardhan K, Weaver J, Herbel C, Seth P, Li L, et al. The role of metabolic reprogramming in T cell fate and function. Curr Trends Immunol. 2016;17:1–12. pmid:28356677
  48. 48. Liu W, Lin Y, Xiao H, Xing S, Chen H, Chi P, et al. Epstein-Barr virus infection induces indoleamine 2,3-dioxygenase expression in human monocyte-derived macrophages through p38/mitogen-activated protein kinase and NF-κB pathways: impairment in T cell functions. J Virol. 2014;88(12):6660–71. pmid:24696473
  49. 49. Müller-Durovic B, Jäger J, Engelmann C, Schuhmachers P, Altermatt S, Schlup Y, et al. A metabolic dependency of EBV can be targeted to hinder B cell transformation. Science. 2024;385(6704):eadk4898. pmid:38781354
  50. 50. Mezrich JD, Fechner JH, Zhang X, Johnson BP, Burlingham WJ, Bradfield CA. An interaction between kynurenine and the aryl hydrocarbon receptor can generate regulatory T cells. J Immunol. 2010;185(6):3190–8. pmid:20720200
  51. 51. Campesato LF, Budhu S, Tchaicha J, Weng C-H, Gigoux M, Cohen IJ, et al. Blockade of the AHR restricts a Treg-macrophage suppressive axis induced by L-Kynurenine. Nat Commun. 2020;11(1):4011. pmid:32782249