Leishmaniasis is a complex disease in which clinical outcome depends on factors such as parasite species, host genetics and immunity and vector species. In Brazil, Leishmania (Viannia) braziliensis is a major etiological agent of cutaneous (CL) and mucosal leishmaniasis (MCL), a disfiguring form of the disease, which occurs in ~10% of L. braziliensis-infected patients. Thus, clinical isolates from patients with CL and MCL may be a relevant source of information to uncover parasite factors contributing to pathogenesis. In this study, we investigated two pairs of L. (V.) braziliensis isolates from mucosal (LbrM) and cutaneous (LbrC) sites of the same patient to identify factors distinguishing parasites that migrate from those that remain at the primary site of infection.
We observed no major genomic divergences among the clinical isolates by molecular karyotype and genomic sequencing. RT-PCR revealed that the isolates lacked Leishmania RNA virus (LRV). However, the isolates exhibited distinct in vivo pathogenesis in BALB/c mice; the LbrC isolates were more virulent than the LbrM isolates. Metabolomic analysis revealed significantly increased levels of 14 metabolites in LbrC parasites and 31 metabolites in LbrM parasites that were mainly related to inflammation and chemotaxis. A proteome comparative analysis revealed the overexpression of LbrPGF2S (prostaglandin f2-alpha synthase) and HSP70 in both LbrC isolates. Overexpression of LbrPGF2S in LbrC and LbrM promastigotes led to an increase in infected macrophages and the number of amastigotes per cell at 24–48 h post-infection (p.i.).
Despite sharing high similarity at the genome structure and ploidy levels, the parasites exhibited divergent expressed genomes. The proteome and metabolome results indicated differential profiles between the cutaneous and mucosal isolates, primarily related to inflammation and chemotaxis. BALB/c infection revealed that the cutaneous isolates were more virulent than the mucosal parasites. Furthermore, our data suggest that the LbrPGF2S protein is a candidate to contribute to parasite virulence profiles in the mammalian host.
Leishmaniasis is a critical public health problem worldwide. The clinical outcome of leishmaniasis depends on the infecting parasite species, host genetics and immune response and insect species. Leishmania braziliensis is a major etiological agent of cutaneous and mucosal leishmaniasis in Brazil. Fewer than 10% of L. braziliensis-infected patients with CL develop the mucosal form (a severe clinical manifestation). The small number of parasites in the mucosae increases the difficulty of obtaining clinical isolates, and parasite samples are frequently derived from individuals with different genetic backgrounds. Therefore, clinical isolates from cutaneous and mucosal sites from the same patient represent unique tools to understand parasite factors that contribute to disease outcome and pathogenesis. In this study, we investigated parasite factors involved in disease progression using two pairs of L. (V.) braziliensis isolates from mucosal (LbrM) and cutaneous (LbrC) sites of the same patient. In conclusion, the murine infection and proteome and metabolome data suggest that the differences between the cutaneous and mucosal isolates are mainly related to inflammation and chemotaxis. Our data also suggest that the LbrPGF2S protein plays a role in parasite virulence in the mammalian host.
Citation: Alves-Ferreira EVC, Toledo JS, De Oliveira AHC, Ferreira TR, Ruy PC, Pinzan CF, et al. (2015) Differential Gene Expression and Infection Profiles of Cutaneous and Mucosal Leishmania braziliensis Isolates from the Same Patient. PLoS Negl Trop Dis 9(9): e0004018. https://doi.org/10.1371/journal.pntd.0004018
Editor: Alvaro Acosta-Serrano, Liverpool School of Tropical Medicine, UNITED KINGDOM
Received: March 10, 2015; Accepted: July 30, 2015; Published: September 14, 2015
Copyright: © 2015 Alves-Ferreira et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: The AKC laboratory was funded by FAPESP (2006/50323-7 and 2010/20597-3). EVCAF (2009/01641-4 and 2011/ 02040-4), TRF, CFP, and RFS were supported by FAPESP fellowships. Partial support for JST was provided by grants from CNPq and FAPESB (PRONEX). MBN, AB and AKC are senior investigators from the CNPq. JST was supported by the EADS-CASA and the Brazilian Air Force (FAB) mobility program and a fellowship from the Science without Borders Brazilian Program (CNPq grant 237660/2012-1). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Leishmaniases, which are endemic in 98 countries (predominately in tropical and subtropical regions worldwide), represent a critical public health problem . These diseases develop distinct clinical manifestations depending on the infecting Leishmania species, the composition of the sandfly vector saliva and the mammalian host’s genetic and immunological profile [2–4]. The output of infection varies widely; the symptomatic forms may be subdivided into tegumentary and visceral diseases. The tegumentary diseases may develop from mild (localized cutaneous leishmaniasis—LCL) to severe forms that include diffuse cutaneous leishmaniasis (DCL) and mucocutaneous disease (MCL) .
Approximately 20 species of Leishmania cause human infection, and tegumentary diseases may be caused by several species in different endemic countries. Each clinical form has been linked to one or a few species. For example, the Leishmania species from the Viannia subgenus (Leishmania (V.) braziliensis, Leishmania (V.) guyanensis and Leishmania (V.) panamensis), which are widely distributed in the Americas, are associated with not only CL but also MCL, which emerges in 5–10% of L. braziliensis infections [6–8]. In MCL, the oral and nasopharyngeal areas of the face are the most commonly affected and display tissue destruction characterized by intense inflammation and a low parasite load [7, 9]. The parasite factors determining the disease have been widely explored (but remain poorly understood) and it has been suggested that the L. braziliensis genotypes may be associated with specific disease manifestations .
The mechanisms that trigger the migration of L. braziliensis from the primary cutaneous site of infection to the facial mucosae are not understood. Various studies have suggested that migration of macrophages after infection may play a role in the dissemination of the parasite to other body regions, contributing to the development of MCL [11, 12]. However, the role of the parasite in the divergent behavior of host cells is unknown.
Although research using parasites collected from different patients are relevant to improving our understanding of mucosal disease, each patient has a distinct immunogenetic background and may respond to parasite infection differently. Therefore, clinical isolates from cutaneous and mucosal sites on the same patient represent unique tools that can be used to understand parasite factors that contribute to disease outcomes and pathogenesis.
Typically, mucosal lesions are diagnosed months or years after the primary cutaneous lesion. One study in an endemic area in Brazil evaluated 200 patients with CL by otorhinolaryngological examination and detected parasites in the nasal mucosae of six patients despite the absence of mucosal lesions . There may be genetic differences between parasite populations isolated from cutaneous and mucosal sites. The genomes of the three Leishmania species L. (L.) major, L. (L.) infantum and L. (V.) braziliensis are highly conserved at the level of protein-coding gene content; however, the ample genetic plasticity of Leishmania is clear, suggesting that the key to understanding the diverse clinical manifestations, virulence and tropism of the parasite may be differential genome expression [10, 14, 15].
Here, we describe comparative expressed genome analysis and infectivity studies of two pairs of clinical isolates obtained from the primary site of infection and the mucosae of the same patient .
Parasites and culture conditions
Leishmania (Viannia) braziliensis were rescued from the biopsies of cutaneous lesions and mucosae of two patients from the endemic area of Jequié (Bahia/Brazil) with mucocutaneous leishmaniasis . The isolates from cutaneous lesions were denoted LbrC1 (MHOM/BR/00/BA778) and LbrC2 (MHOM/BR/00/BA776), whereas parasites recovered from the mucosae were denoted LbrM1 (MHOM/BR/00/BA779) and LbrM2 (MHOM/BR/00/BA777); the numbers 1 and 2 refer to the respective patients. We have employed this simplified notation for the isolates throughout the text to facilitate comprehension. Wild type and transfectant promastigotes were maintained at 26°C in M199 medium supplemented as previously described . Transfectants were maintained in liquid medium containing 6 x LD50 G418.
PCR and RT-PCR
PCR was performed using GoTaq Flexi DNA Polymerase (Promega, Madison, USA) according to the manufacturer’s instructions. To confirm that the isolates belonged to the Viannia subgenus, genomic DNA (gDNA) extracted from the parasites was subjected to PCR using the primers 5’-CGGATCGCCCATGTACTC-3’ and 5’-GCATCGCAATAGTCCCACAT-3’ to amplify LbrM.23.0390 (RNAse III), which is specific to this subgenus .
All of the isolates were analyzed for the presence of the LRV virus (Leishmania RNA virus) by RT-PCR. cDNA was generated using reverse transcriptase (Invitrogen) and 1 μg of the extracted RNA according to the manufacturer’s protocol. PCR was performed using the primers LRV-for (5’-CGGTAGAGCATTAAGGGCTAGC-3’) and LRV-rev (5’-CGGCAGTAACCTGGATACAACC-3’), which amplify a genomic region conserved among all virus subtypes (kindly shared by MVG da Silva).
Pulse Field Electrophoresis (PFGE)
Low-melting agarose plugs containing gDNA were prepared according to the protocol of Beverley et al. (1988) and Cruz et al. (1991) [18, 19]. The gDNA was fractionated in a 1% agarose gel by PFGE using two different programs. Program 1 was used to separate large chromosomes (4.5 V/cm, 144 h, 16°C, initial pulse: 360 s and final pulse: 800 s, 1x TBE buffer), whereas program 2 was used for smaller chromosomes (4.5 V/cm, 44 h, initial pulse: 50 s and final pulse: 120 s, 0.5x TBE buffer). The gels were stained with ethidium bromide for 90 min.
The use of mice and hamsters was approved by the Ethical Commission of Ethics in Animal Research (CETEA) at the Ribeirão Preto Medical School, University of São Paulo. They certified that Protocol n° 159/2011 (“Investigation of host-parasite interaction: exploring models of study of virulence and tropism”) is consistent with the ETHICAL PRINCIPLES IN ANIMAL RESEARCH adopted by Brazilian College of Animal Experimentation (COBEA) in 8/27/2012.
Animal infection and parasite load
Hamsters were obtained from the facilities of the ANILAB Animais de Laboratório (Street Servidão Quatro, 292, Paulínia, SP, Brazil), and BALB/c mice were obtained from the institutional animal facility (Ribeirão Preto Medical School, USP, Ribeirão Preto, SP, Brazil). Mouse infection was conducted according to the guidelines of the Ethics Committee on Animal Experimentation from Ribeirão Preto Medical School, USP.
BALB/c mice and hamsters were infected in vivo with stationary-phase promastigotes (105 viable parasites/10 μL PBS) by intradermal injection into the right ear (5 animals per experiment). Lesion progression was recorded once each week for six weeks by measuring ear swelling with a digital Vernier caliper using the non-infected contralateral ear as a control . The parasite load was determined in the ear 4 weeks p.i. as described previously .
In vitro infection
Peritoneal macrophages from BALB/c mice were maintained in RPMI medium supplemented with 10% (v/v) FBS. The cells (5x105) were infected with late stationary promastigotes at a ratio of 10 parasites per macrophage for 4 h at 37°C. The infected cells were washed 3 times with incomplete RPMI 1640 (Life Technologies, Carlsbad, CA, USA) to remove non-internalized promastigotes and incubated at 5% CO2, 37°C for 0, 24 and 48 h. At the end of the assay, the infected macrophages were stained using the Diff Quick kit (LABORCLIN, Pinhais, Paraná, Brazil), and intracellular parasites were counted using a Leica DM500 microscope with a 100x objective. The parasite burden was verified by counting the number of infected macrophages in 300 cells (technical triplicates).
Ex vivo analysis of IL-4 and IFN-γ
The production of IL-4 and IFN-γ cytokines was quantified using ELISA (Mouse IL-4 ELISA kit and Mouse IFN-γ ELISA kit- BD OptEIA) according to the manufacturer’s protocol (BD Biosciences, San Diego, CA, USA). Cell suspensions were prepared from the lymph nodes and spleens of BALB/c mice infected for 4 weeks with LbrC1, LbrM1, LbrC2 and LbrM2 promastigotes. Overall, 5x106 cells/mL were plated per well in 24-well tissue culture plates and stimulated with 40 μg/mL L. braziliensis particulate antigens (SLA) as previously described .
Two-dimensional gel electrophoresis (2DE) and protein identification
The protein extracts of logarithmic phase promastigotes (5x108 parasites) were obtained by precipitation with trichloroacetic acid, and the samples were subjected to 2D gel electrophoresis using Immobiline DryStrip gels (13 cm/4-7 pI) (GE HealthCare, Piscataway, New Jersey, USA). Protein extraction and 2D electrophoresis were performed as described previously [23, 24]. A comparative analysis of the digitized proteome maps of the LbrC and LbrM isolates was performed using ImageMaster platinum v6.0 software (GE Healthcare). Genes were considered differentially expressed when the spot intensity was increased 1.5-fold between isolate pairs. All of the analyses were performed in biological triplicate, and we used a two-sample t-test to compare the differentially expressed spots. The peptides were identified by MALDI-TOF/TOF mass spectrometry at the Center for Protein Chemistry (University of São Paulo, Ribeirão Preto) and analyzed using the MASCOT program (Version 2.2.04) and the GeneDB genome of L. braziliensis.
Construction of overexpression plasmid and transfection
The LbrPGF2S CDS flanked by 800 bp was amplified from the gDNA of L. (V.) braziliensis strain MHOM/BR/75/M2904 using the primers 5’FLR-LbrPGF2S_NheI-for (5’-GCTAGCAGGTGTGCTACAGGTAAGGAAGC-3’) and 3’FLR-LbrPGF2S_HindIII_XbaI-rev (5’-TCTAGAAAGCTTGCATGAAGAAGAGGGTCCAG-3’) and cloned into the pGEM-T easy vector (Promega) according to the manufacturer's instructions. The 2.3-kb fragment resulting from digestion with the NheI and HindIII enzymes containing LbrPGF2S CDS and its 3’ and 5’ UTRs  was subcloned into the pXNEO vector  for overexpression in Leishmania.
Promastigotes were transfected with the pX63NEO and pX63NEO-LbrPGF2S plasmids by electroporation. Transfectants were selected in semi-solid M199-agar medium in the presence of the G418 antibiotic (Sigma, St. Louis, MO). The G418 LD50 was determined for each isolate, and four- or six-fold LD50 was used. Promastigotes were maintained at 26°C in M199 medium supplemented as previously described . For in vitro infection, the mutant promastigotes were cultivated in a liquid medium containing six-fold G418 LD50.
Total protein extracts were obtained from 1x107 promastigotes by precipitation with trichloroacetic acid (a similar extraction was used for the 2D analysis). The proteins were fractionated by 12% SDS-PAGE and blotted onto Hybond ECL membranes in a TE22 mini transfer unit (both from GE Healthcare) . The membranes were blocked in 3% BSA blocking buffer for 1 h, incubated with chicken anti-LbrPGF2S (1:10000) (produced by our group) for 1 h, washed, and incubated with peroxidase-conjugated anti-chicken IgY (1:800,000) (Sigma) for 1 h at room temperature. Antigen-antibody interactions were detected using an ECL kit (GE Healthcare); chemiluminescence was visualized using an ImageQuant LAS 4000 (GE Healthcare).
Genomic DNA library sequencing and analysis
Genomic DNA from each isolate (LbrC1, LbrC2, LbrM1 and LbrM2) was sequenced from paired-end DNA libraries constructed with the Nextera XT DNA Sample Preparation kit. The Illumina MiSeq platform (FMRP-USP) was used for library sequencing (150-nt long reads). Read quality, length and number were verified using the FastQC tool (http://www.bioinformatics.babraham.ac.uk/projects/fastqc/); reads with an average quality value of less than 30 were removed. The Illumina adapter was removed using cutadapt software (version 1.4.1) (http://journal.embnet.org/index.php/embnetjournal/article/view/200).
The reads were aligned against the LbrM2903 version 8.0 reference genome (S1 Table) available at TriTrypDB  using BWA  (Version 0.7.10-r789) to generate alignments in the sam format. The BWA-MEM algorithm with default values was applied for 150-bp Illumina reads. SAMtools  was used to convert the sam files into binary format and sort, index and count the reads from each chromosome in bam files. These bam files were visualized with Artemis . The chromosome somy in each library was calculated independently according to the method of Zhang et al. .
Metabolite extraction of Leishmania for metabolomic fingerprinting
For each compared group, LbrC and LbrM, seven biological replicates were collected in the late-log phase of promastigote culture. Before metabolite extraction, metabolism was quenched by shaking the 10-mL culture bottle in an ethanol/dry-ice bath for 40 sec. For HPLC-MS and CE-MS, 4x107 promastigotes were centrifuged at 2,000 x g for 10 min at 4°C, washed 3 times in cold (4°C) PBS (137 mM NaCl, 8 mM Na2HPO4, 2.7 mM KCl, and 1.5 mM KH2PO4; pH 7.0) and lysed in 450 μL of cold (4°C) CH3OH/H2O (4:1, v/v). The cells were mechanically disrupted by 3 freeze/thaw cycles in liquid N2, followed by lysis for 10 min at 50 Hz in a TissueLyser LT (Qiagen) with glass beads (50 mg, 425–600 μm, Sigma). The cellular debris was removed by centrifugation at 15,700 x g at 4°C for 10 min. For HPLC-MS, 200 μL of clarified supernatant was transferred into a glass vial and submitted to HPLC-MS analysis. For CE-MS, 200 μL of clarified supernatant was transferred into a new tube, dried and re-suspended in 200 μL of milli-Q water.
For GC-MS, metabolites were extracted by the same process in 350 μL of CH3OH/CHCl3/H2O (3:1:1, v/v/v) at 4°C. The supernatant (200 μL) was clarified by centrifugation and evaporated to dryness in a SpeedVac at 30°C. Next, 10 μL of O-methoxyamine hydrochloride (15 mg/mL in pyridine) was added to each GC vial, mixed vigorously for 5 min using a vortex FB 15024 (Fisher Scientific, Madrid, Spain), and incubated in darkness at room temperature for 16 h for methoximation. Then, 10 μL of BSTFA (N,O-bis(trimethylsilyl)trifluoroacetamide) with 1% TMCS (v/v) (trimethylchlorosilane) was added, and the vials were vortexed for 5 min and incubated for 1 h at 70°C for the silylation reaction. Finally, 100 μL of heptane containing 10 mg/mL C18:0 methyl ester (internal standard) was added, and the samples were vortexed. Two blank samples were prepared following the same extraction and derivatization procedures.
Quality controls (QCs) were independently prepared for each technique by pooling equal volumes of each sample. The controls were analyzed at the start of each analysis to reach system equilibration and throughout the run to provide a measurement of the system’s stability and the reproducibility of the sample treatment procedure.
Metabolomic fingerprinting by HPLC-MS, CE-MS and GC-MS
Considering the large chemical diversity of metabolites, the samples were analyzed by HPLC-MS, CE-MS and GC-MS to ensure wide coverage encompassing hydrophobic, hydrophilic, acidic, basic and neutral molecules. The HPLC-MS, CE-MS and GC-MS instrumentation and settings for metabolomic analysis were as previously described by Canuto et al. .
Metabolomic data treatment and statistical analysis
Background noise and unrelated ions were removed from the resulting data files (HPLC-MS and CE-MS) using the Molecular Feature Extraction (MFE) tool in Mass Hunter Qualitative Analysis software (B.05.00, Agilent). Primary data treatment (filtering and alignment) was performed using Mass Profiler Professional software (B.02.01, Agilent). Data treatment for GC-MS analysis was conducted through compound identification using the Fiehn retention time locked (RTL) library and the National Institute of Standards and Technology mass spectra library with MSD ChemStation software (G1701EA E.02.00.493, Agilent) and a correct assignment based on the coincidence of the retention time and the spectrum profile . For all of the analytical platforms, features that did not appear in at least 50% of the QCs with a coefficient of variation less than 30% were excluded from the analysis. The metabolic profiles were analyzed by principal component analysis (PCA) (S1 Fig). We considered a metabolite to have a differential profile between LbrC and LbrM only in the following situations: (i) when there was a statistically significant differential abundance in the samples from the two phenotypes (Student’s t-test, p value < 0.05); and (ii) when the metabolite was consistently detected in 100% of the biological replicates per group. The accurate masses representing statistically significant differences were searched in MassTrix  and CEU Mass Mediator (http://ceumass.eps.uspceu.es/mediator/). The heatmap was designed using MetaboAnalyst (v. 2.0) .
L. braziliensis cutaneous and mucosal isolates do not exhibit major genomic differences
Paired clinical isolates were recovered from two patients in a leishmaniasis endemic area in Brazil where Leishmania (Leishmania) amazonensis and Leishmania (Viannia) braziliensis species are responsible for CL, according to the Manual for Surveillance of American Integumentary Leishmaniasis . All of the isolates were subjected to PCR using primers to amplify a fragment of a Viannia-specific gene (LbrM.23.0390, RNase III domain gene). Reactions using parasite genomic DNA from all four isolates amplified the control DNA (SSU 18S) and the RNase III domain gene, confirming the isolation of the Leishmania (V.) braziliensis species (Fig 1A). We used a Leishmania (Leishmania) major strain as a negative control for the Viannia-specific fragment, from which no amplification was obtained (LV39 lane).
(A) Agarose gel-fractionation of the PCR products from DNA extracted from LbrC1, LbrM1, LbrC2 and LbrM2 parasite cultures verified that the isolates belong to the Viannia subgenus. The Viannia subgenus was identified by PCR using primers for the RNase III domain gene (LbrM.23.0390) and 18S rDNA (SSU) gene as a DNA quality control. The LV39 strain [Leishmania (Leishmania) major] and a mock reaction (PCR reaction without genomic DNA) were used as negative controls. (B) PCR analysis of DNA extracted from LbrC1, LbrM1, LbrC2, LbrM2 and M4147 parasite cultures fractionated in agarose gels demonstrated that the Leishmania virus (LRV) was not amplified by RT-PCR from cutaneous and mucosal isolates. cDNA from Leishmania Viannia guyanensis (M4147 strain), which harbors the virus, was used as a positive control, and G6PDH primers were used as a positive control for Leishmania DNA. (C) Molecular karyotypes of parasites rescued from cutaneous and mucosal sites (LbrC1, LbrM1, LbrC2 and LbrM2), as determined by pulsed-field gel electrophoresis (PFGE). The electrophoresis conditions are described in the Methods section. Numbers 1 and 2 refer to electrophoresis programs. Marker: N0340S (NE BioLabs). The gels were stained with ethidium bromide. White arrows indicate bands observed only in the LbrM isolates. * highlights the LbrC2 band with a doubled signal intensity compared to LbrM2.
Based on a recent study suggesting a positive correlation between the presence of LRV virus in Leishmania (Viannia) spp. and metastatic behavior , we searched for the presence of LRV RNA in all four isolates. We could not detect the presence of the virus by RT-PCR in the LbrC and LbrM isolates; L. (V.) guyanensis (M4147 strain) was used as a positive control (Fig 1B). This result suggests that the metastatic behavior of the LbrM isolates is not associated with LRV.
To investigate possible genomic differences between the LbrC and LbrM isolates recovered from the same patient, agarose-embedded genomic DNA was fractionated by pulsed field gel electrophoresis (PFGE). Using two different pulse conditions to fractionate small/medium or large chromosomes, we observed a similar karyotype, with the exception of one extra band representing a large chromosome that was exclusively present in both LbrM isolates (Fig 1C). Comparative analysis of the signal intensity of this ‘novel’ band in the LbrM2 karyotype with the corresponding region of the LbrC2 (marked with *) is suggestive of one allele size increment. Overall, the karyotype analysis revealed high similarity among the four isolates, suggesting that all belong to the same strain.
To confirm the similarity of genomic content and investigate possible chromosome somy changes, we subjected both of the LbrC/LbrM pairs to NGS genomic sequencing. As shown in Fig 2 and S2 Table, no consistent differences between paired isolates were detected, confirming the lack of major genomic changes.
Cutaneous isolates are more virulent during in vivo infection
We investigated whether the parasites rescued from the primary site of infection versus those rescued from the mucosae of the same patient had a different infection profile. In vivo infection in hamsters and BALB/c mice revealed that both LbrC isolates displayed a more severe clinical manifestation. Hamsters infected with the LbrC isolates produced larger lesions than hamsters infected with the LbrM isolates (Fig 3A). BALB/c mice were used to evaluate the virulence of the isolates. The parasite burden was increased at the inoculation site (ear) of LbrC-infected animals compared to LbrM-infected mice at 4 weeks p.i. (Fig 3B). Therefore, both parasite load and lesion size measurement revealed a different murine infection profile between the LbrC and LbrM isolates. Also, significantly increased IL-4 levels were detected in cell cultures derived from the lymph nodes and spleens of LbrM2-infected mice compared with cultures from mice infected with LbrC2 (Fig 3C). In contrast, LbrC2-infected cells released more IFN-γ than cells infected with LbrM2. In both cases, the cells were stimulated with the same antigens (SLA).
(A) The panel represents the lesion development in hamsters (Mesocricetus auratus) after infection with the isolates. Ear thickness was measured with a Mitutuyo digital caliper for six weeks. Each point represents the mean lesion size (±SEM) of five animals per group. (B) The graph represents the parasite load in the ear of BALB/c mice after a four-week infection with the isolates by limiting dilution assay. Three or five mice were used per group. The lower panel shows representative images of ear lesions after 4 weeks of infection. (C) Quantification of IFN-γ and IL-4 cytokines released by lymph node and spleen cells after one month of infection with the LbrC2 and LbrM2 isolates following stimulation with SLA for 72 h. Three mice were included in each group. *p<0.05 (two-tailed t-test).
Cutaneous and mucosal isolates present clear-cut differences in their metabolomes
To obtain an overview of the global physiological differences between LbrC and LbrM, we subjected one of the pairs (LbrC1 and LbrM1) to a comparative metabolomic analysis. The tight cluster of QCs (quality controls) in the unsupervised PCA model scatter plots for HPLC-MS, CE-MS and GC-MS confirmed technical reproducibility (S1 Fig).
S3 Table summarizes the metabolomic data obtained from the different techniques, including the monoisotopic mass, retention time, percentage change, p value and biological role.
A heat map was constructed to visualize differences in the LbrC and LbrM metabolomes (Fig 4). The heatmap revealed important differences in the intracellular concentration of metabolites. The hierarchically clustered heat map revealed 31 metabolites whose levels were significantly decreased in the LbrC parasites and 14 metabolites that were decreased in the LbrM parasites. The metabolome differences indicated a clear metabolomic dichotomy in the parasite population from the cutaneous site versus the mucosae of the same individual. Most of the metabolites that were present at different levels in the compared samples were related to inflammatory processes.
The color code indicates the metabolites abundance. To enable the comparison of data obtained from HPLC-MS, CE-MS and GC-MS the metabolite abundance was normalized. The MetaboAnalyst (v. 2.0) website was used to normalize the data and to generate the figure. The normalization procedure consisted of mean-centering and division by the standard deviation of each variable. The lines in the heatmap represent the relative abundance of metabolites across the samples of the two compared groups, LbrC and LbrM; each metabolite is indicated on the right side of the figure. The columns corresponding to the LbrM and LbrC groups are indicated at the bottom. Each of the seven columns corresponds to one biological replicate (seven per group). To the left-hand side of the figure, a scale indicates the color code relative to the normalized metabolite abundance (ranging from 0.5 up to 4.0).
Several phospholipids and related metabolites, such as choline, saturated fatty acids (myristic and palmitic acids) and ketocholesterol, were identified among the up-regulated metabolites in the LbrM samples. Others metabolites, such as phosphatidic acid (PA) and phosphatidylglycerol (PG), were detected at lower levels in LbrM (Fig 4).
The analysis also revealed differences in “amino acids and derivatives” between the compared lines. Purine metabolism differed between the two lines, with some metabolites up-regulated or down-regulated in the metastatic line (Fig 4). Chalcone levels were higher in LbrM, whereas trypanothione disulfide (a reduced form of trypanothione) levels were lower (Fig 4). Other metabolites from different chemical classes that participate in pathways related to purine and polyamine metabolism and/or redox routes were expressed at different levels in the LbrC and LbrM samples.
LbrPGF2S and HSP70 are up-regulated in cutaneous isolates
As part of the global comparative analysis of the LbrC and LbrM isolates, we investigated possible modifications of gene expression between parasites from mucosal and cutaneous sites through a comparative analysis of proteome profiles. The proteomes were evaluated by protein fractionation through two-dimensional gel electrophoresis, followed by identification of differentially expressed spots by mass spectrometry.
We considered a differential expression positive if the differences in spot signal intensities were greater than 1.5-fold between the compared proteomes. In each replica of the fractionated proteome, we detected 477, 488 and 525 spots for LbrC1, 358, 351 and 434 spots for LbrM1, 448, 440 and 345 spots for LbrC2 and 406, 346 and 387 spots for the LbrM2 samples. The percentage of corresponding (matched) spots among the LbrC1/LbrM1 and LbrC2/LbrM2 pairs was satisfactory (61.10% and 70.49%, respectively).
Differentially expressed spots were excised from the gels and subsequently analyzed by mass spectrometry. Twenty-four polypeptides were identified under these conditions in the comparative analysis of the LbrC1 and LbrM1 protein extracts, and 23 polypeptides were identified in the analysis of the protein extracts of LbrC2 and LbrM2 (S4 Table). Among these, only LbrM.31.2410 (prostaglandin f2-alpha synthase- LbrPGF2S) and LbrM.28.2990 (HSP70, putative) were consistently over-represented in both cutaneous isolates (LbrC1 and LbrC2) and less abundant (or undetectable) in both mucosal isolates (LbrM1 and LbrM2).
Ectopic expression of LbrPGF2S increases parasite virulence during infection in vitro
Both the proteome and metabolome data suggested that PGF2S was an important target warranting further investigation. Thus, we generated LbrC1 and LbrM1 parasites overexpressing LbrPGF2S to confirm the correlation between LbrPGF2S levels and virulence. The gene was inserted into pX63NEO and expressed ectopically. LbrPGF2S overexpression was confirmed by Western blotting using a polyclonal anti-LbrPGF2S antibody (S2 Fig).
Infection of peritoneal macrophages from BALB/c mice with the wild type gene and transfectants resulted in average macrophage infection rates of 84%, 95%, 78%, 90% and 96% (t0 post-infection) for LbrC1 wild type, LbrC1 [pX63NEO], LbrC1 [pX63NEO-PGF2S], LbrM1 wild type and LbrM1 [pX63NEO-PGF2S], respectively, indicating that the percentage of internalization during early infection did not vary significantly. Nevertheless, after 24 h, the infection index decreased to 2.8% and 4.5% for LbrC1 wild type and LbrM1 wild type, respectively, and to 21.6% and 34.6% for the LbrPGF2S-overexpressing transfectants. Thus, the LbrPGF2S-overexpressing parasites exhibited a significantly increased infection percentage 24 h p.i. This difference persisted until 48 hours p.i. for LbrC1 [pX63NEO-PGF2S] (Fig 5). Immediately before the in vitro infection experiments, the overexpression of LbrPGF2S was confirmed by Western blotting (S2 Fig).
(A) Peritoneal macrophages from BALB/c mice were infected with Lbrc and LbrM transfectants and the wild type strain. At 0 h, 24 h and 48 h post-infection, the cells were stained, and 600 cells were counted. Each bar represents the average and SD of three replicates. *p<0.05 (Student's t test). (B) Number of amastigotes in the macrophages.
The number of amastigotes within macrophages decreased at 24 h and 48 h p.i. for all groups. Nevertheless, the differences between the wild type and LbrPGF2S-overexpressing infections persisted at these time points. The average numbers of intracellular amastigotes were 7.3, 5.8, 59.3 and 69.8 per macrophage (300 cells counted) for infections with LbrC1 wild type, LbrM1 wild type, LbrC1 [pX63NEO-PGF2S] and LbrM1 [pX63NEO-PGF2S], respectively. Both of the overexpressor transfectants produced a significant increase in amastigotes inside macrophages compared with the wild type; this increase was most apparent at 24 h p.i.
Here, we used a powerful tool to explore parasite factors involved in the pathogenesis of leishmaniasis. We demonstrated that significant differences in the proteome, metabolome and parasite virulence may emerge from two subpopulations of the same L. braziliensis strain collected from different tissues in the same human host. We propose that parasite factors other than the presence of the Leishmania RNA virus (LRV) are involved in specific manifestations in tegumentary leishmaniasis when the immunogenetic background is the same. The data presented here are the first to suggest that the enzyme LbrPGF2S may participate in the virulence profile in the host. Our findings were reproducible for two “same-host” pairs isolated from two different patients.
We demonstrated that these L. (V.) braziliensis isolates consistently exhibited differences in the expressed genome, metabolome and pathogenesis in vivo. We determined that the four isolates possessed similar molecular karyotypes and therefore likely originated from a single circulating strain. In addition, complete genome sequencing did not reveal significant somy differences between the LbrC and LbrM isolates. The inclusion of these samples in the Viannia subgenus was confirmed by PCR based on the presence of a domain from the Dicer-like gene that is an integrant of the RNA interference pathway exclusive to the Viannia subgenus .
The lack of LRV in the LbrC and LbrM isolates is relevant in light of the reported correlation between the presence of LRV and the severity of clinical manifestations of tegumentary leishmaniasis. The parasite virus triggers host macrophage recognition, promoting inflammation and modifying the immune response during infection, thereby conferring parasite fitness advantages within the host cell . Therefore, it is possible to speculate that differences in the expressed genomes of the parasites found at the infection site and those isolated from the nasal mucosae are partially responsible for the diverse pathogenesis of LbrC and LbrM isolates.
In vivo infection experiments revealed that the analyzed parameters—i.e., parasite load and lesion progression—differed between the LbrC and LbrM isolates. Hamsters and BALB/c mice infected with the LbrM isolates exhibited smaller lesions and lower parasite burdens at the site of primary infection and the draining lymph nodes compared to animals infected with LbrC. These findings are in accordance with those of Jara et al. , who previously have demonstrated a lower parasite burden in the mucosae compared to that at cutaneous sites. However, we must emphasize that the parasite populations analyzed in this study were recovered from patients during the acute phase of infection, whereas the mucosal isolates from the study performed by Jara et al. were recovered from a chronic infection.
The differences in IL-4 and IFN-γ levels suggest that the LbrC and LbrM isolates stimulated different host cell responses in BALB/c mice. Also, higher levels of IFN-γ in the supernatants of cells infected with LbrC2 are consistent with the increased lesions observed in hamsters infected with LbrC2. Nevertheless, to pursue a robust characterization of the immune response associated to mucosal or cutaneous isolates, it will be necessary to quantify other Th1 or Th2 pattern-specific cytokines.
We investigated the features of the phenotypic expression that could be associated with the pathogenesis of the parasite at the mucosae. The comparison of the proteomes and metabolomes of the paired strains revealed interesting features.
The observed metabolome differences indicate a clear dichotomy between the parasite populations resting at the cutaneous site versus the population localized to the mucosae of the same individual. Many of the metabolites that significantly differed between isolates may affect several cellular processes, and an investigation of the relevant metabolic pathways is needed to understand the role of these metabolites in pathogenesis. However, the metabolome profiles of LbrC and LbrM indicate that the differences in pathogenesis involve the differential production of metabolites related to inflammation and chemotaxis.
The complex interaction of molecules that determine the migration of L. braziliensis-infected host cells from the primary lesion site to the mucosal regions remains undetermined. However, previous studies have demonstrated that Leishmania promastigotes release chemotactic factors that regulate cell migration and the activation of the innate immune system at the primary site [38, 39]. In this study, we used proteomic and metabolomic analyses to obtain a more global understanding of the physiological differences between the LbrC and LbrM isolates and to identify chemotactic networks that guide or contribute to the differential pathogenesis of L. braziliensis.
Some of the fatty acids that were elevated in LbrM (i.e., myristic and palmitic acids) may affect the inflammatory reaction, playing a key role in parasite tropism or exert pro-inflammatory activities. Others may affect protein anchoring to membranes (which is critical for the recognition and attachment of parasites to host cells) or signal transduction pathways [40–43].
Resolvins were markedly elevated in LbrM. Resolvins are lipid mediators that stimulate pro-resolving mechanisms during sepsis . Resolvins may decrease the migration of inflammatory and dendritic cells [44, 45], suppress NF-κB activation , enhance phagocytosis and anti-inflammatory cytokine production and stimulate host-protective actions in inflammatory responses .
Several metabolites (i.e., phosphatidylcholines, phosphatidylethanolamines and their derivatives) involved in phospholipid synthesis were up-regulated in the LbrM samples. Parasites rely on a complex system of uptake and synthesis mechanisms to obtain lipids at different life stages , and lipid metabolism is crucial for the production of factors related to pathogenesis. The increased levels of phospholipids suggest that the Kennedy pathway  could be more active in the LbrM strain. However, a targeted metabolomics approach is needed to more closely evaluate the levels of Kennedy metabolites. The platelet-activating factor (PAF) was also increased in LbrM; PAF is involved in a variety of inflammatory processes such as vascular permeability, oxidative burst, chemotaxis and activation of leukocytes, stimulation of arachidonic acid metabolism  and cellular differentiation and infectivity in Trypanosoma cruzi .
Cyclohexanecarbonylpentadecylamine and phthalic acid mono-2-exthylhexyl ester, metabolites related to arachidonic acid metabolism, were decreased in LbrM . The cellular starting material for prostaglandin biosynthesis is usually membrane phosphatidylinositol, whereas prostaglandins are predominantly synthesized from arachidonic acid, which is also a prostaglandin synthase substrate in protozoan parasites that release prostaglandins .
Chalcone, a metabolite that can affect local inflammatory responses and the prostaglandin synthesis pathway, was up-regulated in LbrM. Chalcones may suppress the mitogen-activated protein kinase (MAPK) pathway, thereby inhibiting pro-inflammatory mediators such as nitric oxide (NO), prostaglandin E(2), tumor necrosis factor-alpha (TNF-alpha) and the production of reactive oxygen species [54, 55]. The combination of the up-modulation of prostaglandin biosynthesis metabolites in LbrC and the up-modulation of inhibitory metabolites in the prostaglandin pathway (4-metoxychalcone) in LbrM suggests that prostaglandin metabolism could play a role in L. braziliensis pathogenesis.
Interestingly, the proteome comparative analysis reinforced the potential relevance of the prostaglandin pathway to the pathogenesis of L. braziliensis infection. The proteome analysis enabled the detection of two proteins with matching differential expression patterns between different host isolates from cutaneous site in the two patients: prostaglandin F2 alpha synthase (LbrM.31.2410) and putative HSP70 (LbrM.28.2990). These proteins were uniquely expressed or over-expressed in the LbrC1 and LbrC2 samples, respectively. Remarkably, survival of L. infantum promastigotes of nitric oxide donor exposure  has been associated with HSP70 and PGF2S overexpression and increased in vitro infectivity. These results support the hypothesis that the HSP70 and PGF2S proteins are involved in parasite infectivity or infection patterns in the vertebrate host.
Prostaglandin synthesis has been reported to occur in metazoan and protozoan parasites in addition to mammals. However, the molecular mechanisms of prostaglandin production and their biological role in parasites have not been well elucidated . High levels of prostaglandin F2-alpha (PGF2α) and PGF2α synthase have been reported in T. brucei .
Interestingly, the overexpression of PGF2α synthase increased the infectivity of the LbrC and LbrM isolates in vitro by improving parasite survival within host cells. Further investigation is needed to identify the mechanisms involved in the effect of PGF2α synthase on parasite virulence.
It has been shown that PGF2S protein is present in the secretome of L. (V.) braziliensis  and the exosome of L. (L.) donovani . According to the TDR Targets Database (tdrtargets.org), 13 putative antigenic epitopes in the PGF2S protein of L. major are responsible for 77.8% of its antigenicity, making it one of the most antigenic proteins produced by L. major. Using the same database, this protein was identified as having high potential as a drug target, with a 0.8 druggability index (range: 0.0 to 1.0). Therefore, LbrPGF2S may represent a relevant target for studies of parasite-host interactions.
In conclusion, this study identified parasite-derived factors that contributed to the pathogenesis pattern of L. braziliensis. The genetic, proteomic and metabolomic results indicate that the inoculated population of parasites may contain a subpopulation of cells with a divergently expressed genome, leading to physiological differences that alter the modulatory response of the host.
S1 Fig. Principal component analysis (PCA) plot of the metabolomic data revealing significant trends in the metabolic profiles of LbrM and LbrC.
PCA models for the entire data set filtered according to their presence in at least 50% of the QCs and a coefficient of variance less than 30% in the QCs. A) HPLC-MS, 3 components (R2 = 0.383; Q2 = 0.040); B) CE-MS, 3 components (R2 = 0.389; Q2 = 0.006); and C) GC-MS, 4 components (R2 = 0.788, Q2 = 0.211). The LbrM and LbrC groups were obtained from seven replicates each. The QC group was obtained from four replicates.
S2 Fig. Overexpression of LbrPGF2S in the LbrC and LbrM isolates.
Western blotting analysis using an anti-LbrPGF2S polyclonal antibody revealed the overexpression of LbrPGF2S in the LbrC and LbrM transfectants. The anti-GAPDH antibody was used to monitor protein loading. The lower panel is a graphical representation of the densitometric analysis of the Western blot performed using Image J Software (National Institutes of Health, USA).
S1 Table. Read coverage for each chromosome of the LbrC1, LbrC2, LbrM1 and LbrM2 isolates by Illumina DNA sequencing.
S2 Table. Number of mapped reads for each chromosome of the LbrC1, LbrC2, LbrM1 and LbrM2 isolates by Illumina DNA sequencing.
S3 Table. Metabolites that were altered in the LbrC and LbrM isolates.
S4 Table. Proteins identified by MALDI-MS/MS that were differentially expressed in the LbrC and LbrM isolates.
*The portion highlighted in grey represents proteins exhibiting differential expression patterns that were identical in the two patients.
We thank Tania P. A. Defina and Viviane Ambrosio for technical support, Marcus Vinicius Gomes da Silva for the LRV primer design and Paul Michels for the anti-GAPDH antibody.
Conceived and designed the experiments: AKC EVCAF AB. Performed the experiments: EVCAF JST AHCDO TRF PCR CFP RFS DR ALG. Analyzed the data: EVCAF JST PCR MBN DR. Contributed reagents/materials/analysis tools: AKC JCR VB AB CB. Wrote the paper: AKC EVCAF JST PCR TRF MBN.
- 1. Alvar J, Vélez ID, Bern C, Herrero M, Desjeux P, Cano J, et al. Leishmaniasis worldwide and global estimates of its incidence. PLoS One. 2012;7(5):e35671. pmid:22693548
- 2. de Almeida MC, Vilhena V, Barral A, Barral-Netto M. Leishmanial infection: analysis of its first steps. A review. Mem Inst Oswaldo Cruz. 2003;98(7):861–70. pmid:14762510
- 3. Teixeira MJ, Teixeira CR, Andrade BB, Barral-Netto M, Barral A. Chemokines in host-parasite interactions in leishmaniasis. Trends Parasitol. 2006;22(1):32–40. pmid:16310413
- 4. Andrade BB, de Oliveira CI, Brodskyn CI, Barral A, Barral-Netto M. Role of sand fly saliva in human and experimental leishmaniasis: current insights. Scand J Immunol. 2007;66(2–3):122–7. pmid:17635789
- 5. Reithinger R, Dujardin JC, Louzir H, Pirmez C, Alexander B, Brooker S. Cutaneous leishmaniasis. Lancet Infect Dis. 2007;7(9):581–96. Epub 2007/08/24. pmid:17714672
- 6. David CV, Craft N. Cutaneous and mucocutaneous leishmaniasis. Dermatol Ther. 2009;22(6):491–502. pmid:19889134
- 7. Amato VS, Tuon FF, Bacha HA, Neto VA, Nicodemo AC. Mucosal leishmaniasis. Current scenario and prospects for treatment. Acta Trop. 2008;105(1):1–9. Epub 2007/09/22. pmid:17884002
- 8. Barral A, Pedral-Sampaio D, Grimaldi G Junior, Momen H, McMahon-Pratt D, Ribeiro de Jesus A, et al. Leishmaniasis in Bahia, Brazil: evidence that Leishmania amazonensis produces a wide spectrum of clinical disease. Am J Trop Med Hyg. 1991;44(5):536–46. Epub 1991/05/01. pmid:2063957
- 9. Jara M, Adaui V, Valencia BM, Martinez D, Alba M, Castrillon C, et al. Real-time PCR assay for detection and quantification of Leishmania (Viannia) organisms in skin and mucosal lesions: exploratory study of parasite load and clinical parameters. J Clin Microbiol. 2013;51(6):1826–33. pmid:23554201
- 10. Schriefer A, Schriefer AL, Góes-Neto A, Guimarães LH, Carvalho LP, Almeida RP, et al. Multiclonal Leishmania braziliensis population structure and its clinical implication in a region of endemicity for American tegumentary leishmaniasis. Infect Immun. 2004;72(1):508–14. pmid:14688132
- 11. Carvalhal DG, Barbosa A, D'El-Rei Hermida M, Clarencio J, Pinheiro NF, Veras PS, et al. The modelling of mononuclear phagocyte-connective tissue adhesion in vitro: application to disclose a specific inhibitory effect of Leishmania infection. Exp Parasitol. 2004;107(3–4):189–99. pmid:15363945
- 12. Maretti-Mira AC, de Pinho Rodrigues KM, de Oliveira-Neto MP, Pirmez C, Craft N. MMP-9 activity is induced by Leishmania braziliensis infection and correlates with mucosal leishmaniasis. Acta Trop. 2011;119(2–3):160–4. pmid:21663729
- 13. Boaventura VS, Cafe V, Costa J, Oliveira F, Bafica A, Rosato A, et al. Concomitant early mucosal and cutaneous leishmaniasis in Brazil. Am J Trop Med Hyg. 2006;75(2):267–9. Epub 2006/08/10. pmid:16896130
- 14. Ivens AC, Peacock CS, Worthey EA, Murphy L, Aggarwal G, Berriman M, et al. The genome of the kinetoplastid parasite, Leishmania major. Science. 2005;309(5733):436–42. Epub 2005/07/16. pmid:16020728
- 15. Peacock CS, Seeger K, Harris D, Murphy L, Ruiz JC, Quail MA, et al. Comparative genomic analysis of three Leishmania species that cause diverse human disease. Nat Genet. 2007;39(7):839–47. Epub 2007/06/19. pmid:17572675
- 16. Kapler GM, Coburn CM, Beverley SM. Stable transfection of the human parasite Leishmania major delineates a 30-kilobase region sufficient for extrachromosomal replication and expression. Mol Cell Biol. 1990;10(3):1084–94. Epub 1990/03/01. pmid:2304458
- 17. Smith DF, Peacock CS, Cruz AK. Comparative genomics: from genotype to disease phenotype in the leishmaniases. Int J Parasitol. 2007;37(11):1173–86. pmid:17645880
- 18. Beverley SM. Characterization of the 'unusual' mobility of large circular DNAs in pulsed field-gradient electrophoresis. Nucleic Acids Res. 1988;16(3):925–39. Epub 1988/02/11. pmid:3344223
- 19. Cruz A, Coburn CM, Beverley SM. Double targeted gene replacement for creating null mutants. Proc Natl Acad Sci U S A. 1991;88(16):7170–4. Epub 1991/08/15. pmid:1651496
- 20. de Toledo JS, Junqueira dos Santos AF, Rodrigues de Moura T, Antoniazi SA, Brodskyn C, Indiani de Oliveira C, et al. Leishmania (Viannia) braziliensis transfectants overexpressing the miniexon gene lose virulence in vivo. Parasitol Int. 2009;58(1):45–50. Epub 2008/11/11. pmid:18992366
- 21. Afonso LC, Scott P. Immune responses associated with susceptibility of C57BL/10 mice to Leishmania amazonensis. Infect Immun. 1993;61(7):2952–9. pmid:8514400
- 22. Scott P, Pearce E, Natovitz P, Sher A. Vaccination against cutaneous leishmaniasis in a murine model. II. Immunologic properties of protective and nonprotective subfractions of soluble promastigote extract. J Immunol. 1987;139(9):3118–25. pmid:3499465
- 23. Toledo JS, Ferreira TR, Defina TP, Dossin FeM, Beattie KA, Lamont DJ, et al. Cell homeostasis in a Leishmania major mutant overexpressing the spliced leader RNA is maintained by an increased proteolytic activity. Int J Biochem Cell Biol. 2010;42(10):1661–71. pmid:20601086
- 24. Scher R, Garcia JB, Pascoalino B, Schenkman S, Cruz AK. Characterization of anti-silencing factor 1 in Leishmania major. Mem Inst Oswaldo Cruz. 2012;107(3):377–86. pmid:22510834
- 25. LeBowitz JH, Smith HQ, Rusche L, Beverley SM. Coupling of poly(A) site selection and trans-splicing in Leishmania. Genes Dev. 1993;7(6):996–1007. pmid:8504937
- 26. LeBowitz JH, Coburn CM, McMahon-Pratt D, Beverley SM. Development of a stable Leishmania expression vector and application to the study of parasite surface antigen genes. Proc Natl Acad Sci U S A. 1990;87(24):9736–40. pmid:2124701
- 27. Aslett M, Aurrecoechea C, Berriman M, Brestelli J, Brunk BP, Carrington M, et al. TriTrypDB: a functional genomic resource for the Trypanosomatidae. Nucleic Acids Res. 2010;38(Database issue):D457–62. pmid:19843604
- 28. Li H, Durbin R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics. 2009;25(14):1754–60. pmid:19451168
- 29. Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics. 2009;25(16):2078–9. pmid:19505943
- 30. Rutherford K, Parkhill J, Crook J, Horsnell T, Rice P, Rajandream MA, et al. Artemis: sequence visualization and annotation. Bioinformatics. 2000;16(10):944–5. pmid:11120685
- 31. Zhang WW, Ramasamy G, McCall LI, Haydock A, Ranasinghe S, Abeygunasekara P, et al. Genetic analysis of Leishmania donovani tropism using a naturally attenuated cutaneous strain. PLoS Pathog. 2014;10(7):e1004244. pmid:24992200
- 32. Canuto GA, Castilho-Martins EA, Tavares MF, Rivas L, Barbas C, Lopez-Gonzalvez A. Multi-analytical platform metabolomic approach to study miltefosine mechanism of action and resistance in Leishmania. Analytical and bioanalytical chemistry. 2014;406(14):3459–76. pmid:24722876
- 33. Ciborowski M, Lipska A, Godzien J, Ferrarini A, Korsak J, Radziwon P, et al. Combination of LC-MS- and GC-MS-based metabolomics to study the effect of ozonated autohemotherapy on human blood. Journal of proteome research. 2012;11(12):6231–41. pmid:23148940
- 34. Suhre K, Schmitt-Kopplin P. MassTRIX: mass translator into pathways. Nucleic acids research. 2008;36(Web Server issue):W481–4. pmid:18442993
- 35. Xia J, Mandal R, Sinelnikov IV, Broadhurst D, Wishart DS. MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis. Nucleic Acids Res. 2012;40(Web Server issue):W127–33. pmid:22553367
- 36. BRASIL MDS. Manual de Vigilância da Leishmaniose Tegumentar Americana 2007. www.saude.gov.br/svs.
- 37. Ives A, Ronet C, Prevel F, Ruzzante G, Fuertes-Marraco S, Schutz F, et al. Leishmania RNA virus controls the severity of mucocutaneous leishmaniasis. Science. 2011;331(6018):775–8. pmid:21311023
- 38. Saito S, Hamada A, Watanabe N, Obata T, Katakura K, Ohtomo H. Eosinophil chemotactic activity in Leishmania amazonensis promastigotes. Parasitol Res. 1996;82(6):485–9. pmid:8832727
- 39. Sørensen AL, Kharazmi A, Nielsen H. Leishmania interaction with human monocytes and neutrophils: modulation of the chemotactic response. APMIS. 1989;97(8):754–60. pmid:2765277
- 40. Harvey KA, Walker CL, Pavlina TM, Xu Z, Zaloga GP, Siddiqui RA. Long-chain saturated fatty acids induce pro-inflammatory responses and impact endothelial cell growth. Clin Nutr. 2010;29(4):492–500. pmid:19926177
- 41. Kim MC, Kim MG, Jo YS, Song HS, Eom TI, Sim SS. Effects of C18 Fatty Acids on Intracellular Ca(2+) Mobilization and Histamine Release in RBL-2H3 Cells. Korean J Physiol Pharmacol. 2014;18(3):241–7. pmid:24976764
- 42. Laine PS, Schwartz EA, Wang Y, Zhang WY, Karnik SK, Musi N, et al. Palmitic acid induces IP-10 expression in human macrophages via NF-kappaB activation. Biochem Biophys Res Commun. 2007;358(1):150–5. pmid:17467667
- 43. Aderem AA. Protein myristoylation as an intermediate step during signal transduction in macrophages: its role in arachidonic acid metabolism and in responses to interferon gamma. J Cell Sci Suppl. 1988;9:151–67. pmid:3151694
- 44. Spite M, Norling LV, Summers L, Yang R, Cooper D, Petasis NA, et al. Resolvin D2 is a potent regulator of leukocytes and controls microbial sepsis. Nature. 2009;461(7268):1287–91. pmid:19865173
- 45. Arita M, Bianchini F, Aliberti J, Sher A, Chiang N, Hong S, et al. Stereochemical assignment, antiinflammatory properties, and receptor for the omega-3 lipid mediator resolvin E1. J Exp Med. 2005;201(5):713–22. pmid:15753205
- 46. Liao Z, Dong J, Wu W, Yang T, Wang T, Guo L, et al. Resolvin D1 attenuates inflammation in lipopolysaccharide-induced acute lung injury through a process involving the PPARγ/NF-κB pathway. Respir Res. 2012;13:110. pmid:23199346
- 47. Oh SF, Dona M, Fredman G, Krishnamoorthy S, Irimia D, Serhan CN. Resolvin E2 formation and impact in inflammation resolution. J Immunol. 2012;188(9):4527–34. pmid:22450811
- 48. Ramakrishnan S, Serricchio M, Striepen B, Bütikofer P. Lipid synthesis in protozoan parasites: a comparison between kinetoplastids and apicomplexans. Prog Lipid Res. 2013;52(4):488–512. pmid:23827884
- 49. Gibellini F, Smith TK. The Kennedy pathway—De novo synthesis of phosphatidylethanolamine and phosphatidylcholine. IUBMB Life. 2010;62(6):414–28. pmid:20503434
- 50. Prescott SM, Zimmerman GA, Stafforini DM, McIntyre TM. Platelet-activating factor and related lipid mediators. Annu Rev Biochem. 2000;69:419–45. pmid:10966465
- 51. Gomes MT, Monteiro RQ, Grillo LA, Leite-Lopes F, Stroeder H, Ferreira-Pereira A, et al. Platelet-activating factor-like activity isolated from Trypanosoma cruzi. Int J Parasitol. 2006;36(2):165–73. pmid:16337632
- 52. Tavares IA, Vine ND. Phthalic acid esters inhibit arachidonate metabolism by rat peritoneal leucocytes. J Pharm Pharmacol. 1985;37(1):67–8. pmid:2858534
- 53. Kubata BK, Duszenko M, Martin KS, Urade Y. Molecular basis for prostaglandin production in hosts and parasites. Trends Parasitol. 2007;23(7):325–31. Epub 2007/05/29. pmid:17531535
- 54. Ahmad S, Israf DA, Lajis NH, Shaari K, Mohamed H, Wahab AA, et al. Cardamonin, inhibits pro-inflammatory mediators in activated RAW 264.7 cells and whole blood. Eur J Pharmacol. 2006;538(1–3):188–94. pmid:16650843
- 55. Lee DS, Li B, Im NK, Kim YC, Jeong GS. 4,2',5'-trihydroxy-4'-methoxychalcone from Dalbergia odorifera exhibits anti-inflammatory properties by inducing heme oxygenase-1 in murine macrophages. Int Immunopharmacol. 2013;16(1):114–21. pmid:23566812
- 56. Dea-Ayuela MA, Ordonez-Gutierrez L, Bolas-Fernandez F. Changes in the proteome and infectivity of Leishmania infantum induced by in vitro exposure to a nitric oxide donor. Int J Med Microbiol. 2009;299(3):221–32. Epub 2008/09/09. pmid:18774335
- 57. Kubata BK, Duszenko M, Kabututu Z, Rawer M, Szallies A, Fujimori K, et al. Identification of a novel prostaglandin f(2alpha) synthase in Trypanosoma brucei. J Exp Med. 2000;192(9):1327–38. Epub 2000/11/09. pmid:11067881
- 58. Cuervo P, De Jesus JB, Saboia-Vahia L, Mendonça-Lima L, Domont GB, Cupolillo E. Proteomic characterization of the released/secreted proteins of Leishmania (Viannia) braziliensis promastigotes. J Proteomics. 2009;73(1):79–92. pmid:19703603
- 59. Silverman JM, Chan SK, Robinson DP, Dwyer DM, Nandan D, Foster LJ, et al. Proteomic analysis of the secretome of Leishmania donovani. Genome Biol. 2008;9(2):R35. pmid:18282296