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Bouabid C, Yamaryo-Botté Y, Rabhi S, Bichiou H, Hkimi C, Bouglita W, Chaouach M, Eddaikra N, Ghedira K, Guizani-Tabbane L, Botté CY, Rabhi I. Fatty Acid Profiles of Leishmania major Derived from Human and Rodent Hosts in Endemic Cutaneous Leishmaniasis Areas of Tunisia and Algeria. Pathogens 2022; 11:92. [PMID: 35056040 PMCID: PMC8781279 DOI: 10.3390/pathogens11010092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 12/22/2021] [Accepted: 12/22/2021] [Indexed: 11/16/2022] Open
Abstract
Leishmaniasis is a protozoal vector-borne disease that affects both humans and animals. In the Mediterranean Basin, the primary reservoir hosts of Leishmania spp. are mainly rodents and canids. Lipidomic approaches have allowed scientists to establish Leishmania spp. lipid profiles for the identification of cell stage specific biomarkers, drug mechanisms of action, and host immune response. Using an in silico approach of global network interaction between genes involved in fatty acid (FA) synthesis followed by the GC-MS approach, we were able to characterize the fatty acid profiles of L. major derived from human and rodent hosts. Our results revealed that the lipid profile of L. major showed similarities and differences with those already reported for other Leishmania species. Phospholipids are the predominant lipid class. FA composition of rodent parasites was characterized by a lower abundance of the precursor C18:2(n-6). One of the rodent clones, which also expressed the lowest lipid abundance in PL and TAG, was the least sensitive clone to the miltefosine drug and has the lowest infection efficiency. Our findings suggest that the lipid composition variation may explain the response of the parasite toward treatment and their ability to infect their host.
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Affiliation(s)
- Cyrine Bouabid
- Laboratoire de Parasitologie Médicale, Biotechnologies et Biomolécules (LR16IPT06), Institut Pasteur de Tunis, Université Tunis El-Manar, 13 Place Pasteur-BP74, Tunis 1002, Tunisia
| | - Yoshiki Yamaryo-Botté
- ApicoLipid Team, Institute for Advanced Biosciences, CNRS UMR5309, INSERM-National Institute for Health and Medical Research, Université Grenoble Alpes, INSERM U1209, 38000 Grenoble, France
| | - Sameh Rabhi
- Laboratoire de Parasitologie Médicale, Biotechnologies et Biomolécules (LR16IPT06), Institut Pasteur de Tunis, Université Tunis El-Manar, 13 Place Pasteur-BP74, Tunis 1002, Tunisia
| | - Haifa Bichiou
- Laboratoire de Parasitologie Médicale, Biotechnologies et Biomolécules (LR16IPT06), Institut Pasteur de Tunis, Université Tunis El-Manar, 13 Place Pasteur-BP74, Tunis 1002, Tunisia
| | - Chaima Hkimi
- Laboratory of Bioinformatics, BioMathematics and Biostatistics, Institut Pasteur de Tunis, 13 Place Pasteur-BP74, Tunis 1002, Tunisia
| | - Wafa Bouglita
- Laboratoire de Parasitologie Médicale, Biotechnologies et Biomolécules (LR16IPT06), Institut Pasteur de Tunis, Université Tunis El-Manar, 13 Place Pasteur-BP74, Tunis 1002, Tunisia
- Higher Institute of Biotechnology of Sidi Thabet, University of Manouba, Tunis 2050, Tunisia
| | - Melek Chaouach
- Laboratoire de Parasitologie Médicale, Biotechnologies et Biomolécules (LR16IPT06), Institut Pasteur de Tunis, Université Tunis El-Manar, 13 Place Pasteur-BP74, Tunis 1002, Tunisia
| | - Naouel Eddaikra
- Laboratory of Eco-Epidemiology Parasitic Population Genetics, Pasteur Institute of Algiers, Algiers 16000, Algeria
| | - Kais Ghedira
- Laboratory of Bioinformatics, BioMathematics and Biostatistics, Institut Pasteur de Tunis, 13 Place Pasteur-BP74, Tunis 1002, Tunisia
| | - Lamia Guizani-Tabbane
- Laboratoire de Parasitologie Médicale, Biotechnologies et Biomolécules (LR16IPT06), Institut Pasteur de Tunis, Université Tunis El-Manar, 13 Place Pasteur-BP74, Tunis 1002, Tunisia
| | - Cyrille Y Botté
- ApicoLipid Team, Institute for Advanced Biosciences, CNRS UMR5309, INSERM-National Institute for Health and Medical Research, Université Grenoble Alpes, INSERM U1209, 38000 Grenoble, France
| | - Imen Rabhi
- Laboratoire de Parasitologie Médicale, Biotechnologies et Biomolécules (LR16IPT06), Institut Pasteur de Tunis, Université Tunis El-Manar, 13 Place Pasteur-BP74, Tunis 1002, Tunisia
- Higher Institute of Biotechnology of Sidi Thabet, University of Manouba, Tunis 2050, Tunisia
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Chavali AK, Whittemore JD, Eddy JA, Williams KT, Papin JA. Systems analysis of metabolism in the pathogenic trypanosomatid Leishmania major. Mol Syst Biol 2008; 4:177. [PMID: 18364711 PMCID: PMC2290936 DOI: 10.1038/msb.2008.15] [Citation(s) in RCA: 105] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2007] [Accepted: 02/06/2008] [Indexed: 12/18/2022] Open
Abstract
Systems analyses have facilitated the characterization of metabolic networks of several organisms. We have reconstructed the metabolic network of Leishmania major, a poorly characterized organism that causes cutaneous leishmaniasis in mammalian hosts. This network reconstruction accounts for 560 genes, 1112 reactions, 1101 metabolites and 8 unique subcellular localizations. Using a systems-based approach, we hypothesized a comprehensive set of lethal single and double gene deletions, some of which were validated using published data with approximately 70% accuracy. Additionally, we generated hypothetical annotations to dozens of previously uncharacterized genes in the L. major genome and proposed a minimal medium for growth. We further demonstrated the utility of a network reconstruction with two proof-of-concept examples that yielded insight into robustness of the network in the presence of enzymatic inhibitors and delineation of promastigote/amastigote stage-specific metabolism. This reconstruction and the associated network analyses of L. major is the first of its kind for a protozoan. It can serve as a tool for clarifying discrepancies between data sources, generating hypotheses that can be experimentally validated and identifying ideal therapeutic targets.
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Affiliation(s)
- Arvind K Chavali
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA
| | - Jeffrey D Whittemore
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA
| | - James A Eddy
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA
| | - Kyle T Williams
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA
| | - Jason A Papin
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA
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Adosraku RK, Anderson MM, Anderson GJ, Choi G, Croft SL, Yardley V, Phillipson JD, Gibbons WA. Proton NMR lipid profile of Leishmania donovani promastigotes. Mol Biochem Parasitol 1993; 62:251-62. [PMID: 8139618 DOI: 10.1016/0166-6851(93)90114-d] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
The proton nuclear magnetic resonance (NMR) lipid profile of Leishmania donovani was obtained in the one-dimensional and two-dimensional modes. Partial assignments of lipid classes and individual lipids were obtained purely from the proton NMR spectrum of the mixture. A more complete assignment and quantitative analysis was achieved by prior separation of the lipids by high pressure liquid chromatography (HPLC) followed by proton NMR analysis of the fractions. This work showed that proton NMR spectroscopy could facilitate lipid analysis and classification of various parasitic protozoa and serve as a basis for rapid studies of comparative lipid metabolism in parasites.
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Affiliation(s)
- R K Adosraku
- Department of Pharmaceutical Chemistry, School of Pharmacy, London, UK
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Abstract
More than ever, new technology is having an impact on the tools of clinical microbiologists. The analysis of cellular fatty acids by gas-liquid chromatography (GLC) has become markedly more practical with the advent of the fused-silica capillary column, computer-controlled chromatography and data analysis, simplified sample preparation, and a commercially available GLC system dedicated to microbiological applications. Experience with applications in diagnostic microbiology ranges from substantial success in work with mycobacteria, legionellae, and nonfermentative gram-negative bacilli to minimal involvement with fungi and other nonbacterial agents. GLC is a good alternative to other means for the identification of mycobacteria or legionellae because it is rapid, specific, and independent of other specialized testing, e.g., DNA hybridization. Nonfermenters show features in their cellular fatty acid content that are useful in identifying species and, in some cases, subspecies. Less frequently encountered nonfermenters, including those belonging to unclassified groups, can ideally be characterized by GLC. Information is just beginning to materialize on the usefulness of cellular fatty acids for the identification of gram-positive bacteria and anaerobes, despite the traditional role of GLC in detecting metabolic products as an aid to identification of anaerobes. When species identification of coagulase-negative staphylococci is called for, GLC may offer an alternative to biochemical testing. Methods for direct analysis of clinical material have been developed, but in practical and economic terms they are not yet ready for use in the clinical laboratory. Direct analysis holds promise for detecting markers of infection due to an uncultivable agent or in clinical specimens that presently require cultures and prolonged incubation to yield an etiologic agent.
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Affiliation(s)
- D F Welch
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City 73126
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