Dataset Information

Metabolomic Profile of BALB/c Macrophages Infected with Leishmania amazonensis: Deciphering L-Arginine Metabolism.

ABSTRACT: Leishmaniases are neglected tropical diseases that are caused by Leishmania, being endemic worldwide. L-arginine is an essential amino acid that is required for polyamines production on mammal cells. During Leishmania infection of macrophages, L-arginine is used by host and parasite arginase to produce polyamines, leading to parasite survival; or, by nitric oxide synthase 2 to produce nitric oxide leading to parasite killing. Here, we determined the metabolomic profile of BALB/c macrophages that were infected with L. amazonensis wild type or with L. amazonensis arginase knockout, correlating the regulation of L-arginine metabolism from both host and parasite. The metabolites of infected macrophages were analyzed by capillary electrophoresis coupled with mass spectrometry (CE-MS). The metabolic fingerprints analysis provided the dual profile from the host and parasite. We observed increased levels of proline, glutamic acid, glutamine, L-arginine, ornithine, and putrescine in infected-L. amazonensis wild type macrophages, which indicated that this infection induces the polyamine production. Despite this, we observed reduced levels of ornithine, proline, and trypanothione in infected-L. amazonensis arginase knockout macrophages, indicating that this infection reduces the polyamine production. The metabolome fingerprint indicated that Leishmania infection alters the L-arginine/polyamines/trypanothione metabolism inside the host cell and the parasite arginase impacts on L-arginine metabolism and polyamine production, defining the infection fate.

SUBMITTER: Muxel SM

PROVIDER: S-EPMC6940984 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Metabolomic Profile of BALB/c Macrophages Infected with <i>Leishmania amazonensis</i>: Deciphering L-Arginine Metabolism.

Muxel Sandra Marcia SM Mamani-Huanca Maricruz M Aoki Juliana Ide JI Zampieri Ricardo Andrade RA Floeter-Winter Lucile Maria LM López-Gonzálvez Ángeles Á Barbas Coral C

International journal of molecular sciences 20191211 24

<h4>Background</h4>Leishmaniases are neglected tropical diseases that are caused by <i>Leishmania</i>, being endemic worldwide. L-arginine is an essential amino acid that is required for polyamines production on mammal cells. During <i>Leishmania</i> infection of macrophages, L-arginine is used by host and parasite arginase to produce polyamines, leading to parasite survival; or, by nitric oxide synthase 2 to produce nitric oxide leading to parasite killing. Here, we determined the metabolomic p ...[more]

PMID: 31835767

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Project description:In mammals, resident dermal macrophages (MÎ¦s) are subverted by Leishmania (L.) amazonensis amastigotes as host cells permissive for parasite multiplication. These Leishmania are living within a communal parasitophorous vacuole (PV) and are expected to trigger unique MÎ¦ transcriptional signatures. We performed a transcription profiling of mouse MÎ¦s harboring amastigotes to get insights into their reprogramming as host cells for parasite multiplication. BALB/c mouse bone marrow-derived MÎ¦s were either loaded or not with four amastigotes on average. Twenty four hours later, when amastigotes multiply, total RNA from MÎ¦ cultures was prepared, amplified and hybridized onto Affymetrix Mouse430_2 GeneChipsÂ®. The outcome recorded a total of 1,248 probe-sets showing significant differential expression. Comparable fold-change values for a handful of genes were obtained between Affymetrix technology and the more sensitive RTqPCR method. Ingenuity Pathway Analysis softwareÂ® pinpointed the up-regulation of the sterol biosynthesis pathway (P-value = 1.31e-02) involving several genes (1.95 to 4.30 fold-change values), and the modulation of various genes involved in polyamine synthesis and in pro/counter-inflammatory signaling. Our findings suggest that amastigotes exploit the MÎ¦ lipid and polyamine pathways to multiply efficiently, and induce a counter-inflammatory environment to expand their dermis niche. Experiment Overall Design: Mice, MÎ¦s and amastigotes: Experiment Overall Design: Swiss nu/nu and BALB/c mice were used (following National Scientific Ethics Committee guidelines) for L. amazonensis (LV79 strain, MPRO/BR/1972/M1841) amastigote propagation and to prepare bone marrow-derived MÎ¦s, respectively. Amastigotes were added at a multiplicity of 4 amastigotes per MÎ¦. Parasite-harboring MÎ¦s (>98%; samples I1, I2 and I3) and parasite-free ones (samples UI1, UI2 and UI3) were cultured at 34Â°C (LV79 permissive temperature) for 24h. Experiment Overall Design: Real-time quantitative PCR: Experiment Overall Design: Total RNA from various biological samples including those used for hybridization experiments were reverse transcribed into cDNA using random hexamers (Roche Diagnostics) and Moloney Murine Leukemia Virus Reverse Transcriptase (Invitrogen Life Technologies). RTqPCR was performed using LightCycler-480 system (Roche) with primers designed with LightCycler Probe Design 1.0 software.Target genes primer sequences, amplicon melting temperatures and amplification efficiencies are available upon request. Gene expression analysis using qBase program allowed determining the normalized relative quantities between parasite-free and parasite-harboring MÎ¦s.

Project description:Pathophysiology of visceral leishmaniasis (VL) is not fully understood and it has been widely accepted that the parasitic components and host immune response both contribute to the perpetuation of the disease. Host alterations during leishmaniasis is a feebly touched area that needs to be explored more to better understand the VL prognosis and diagnosis, which are vital to reduce mortality and post-infection sequelae. To address this, we performed untargeted metabolomics of Leishmania donovani (Ld) infected, uninfected and treated BALB/c mice's tissues and biofluids to elucidate the host metabolome changes using gas chromatography-mass spectrometry. Univariate and multivariate data treatments provided numerous significant differential hits in several tissues like the brain, liver, spleen and bone marrow. Differential modulations were also observed in serum, urine and fecal samples of Ld-infected mice, which could be further targeted for biomarker and diagnostic validations. Several metabolic pathways were found to be upregulated/downregulated in infected (TCA, glycolysis, fatty acids, purine and pyrimidine, etcetera) and treated (arginine, fumaric acid, orotic acid, choline succinate, etcetera) samples. Results also illustrated several metabolites with different pattern of modulations in control, infected and treated samples as well as in different tissues/biofluids; for e.g. glutamic acid identified in the serum samples of infected mice. Identified metabolites include a range of amino acids, saccharides, energy-related molecules, etcetera. Furthermore, potential biomarkers have been identified in various tissues-arginine and fumaric acid in brain, choline in liver, 9-(10) EpOME in spleen and bone marrow, N-acetyl putrescine in bone marrow, etcetera. Among biofluids, glutamic acid in serum, hydrazine and deoxyribose in urine and 3-Methyl-2-oxo pentanoic acid in feces are some of the potential biomarkers identified. These metabolites could be further looked into for their role in disease complexity or as a prognostic marker. The presented profiling approach allowed us to attain a metabolic portrait of the individual tissue/biofluid modulations during VL in the host and represent a valuable system readout for further studies. Our outcomes provide an improved understanding of perturbations of the host metabolome interface during VL, including identification of many possible potential diagnostic and therapeutic targets.

Dataset Information

Metabolomic Profile of BALB/c Macrophages Infected with Leishmania amazonensis: Deciphering L-Arginine Metabolism.

Publications

Metabolomic Profile of BALB/c Macrophages Infected with <i>Leishmania amazonensis</i>: Deciphering L-Arginine Metabolism.

Similar Datasets

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