Screening Novel Vaccine Candidates for Leishmania Donovani by Combining Differential Proteomics and Immunoinformatics Analysis
Visceral leishmaniasis (VL), also known as kala-azar, is the most dangerous form of leishmaniasis. Currently no effective vaccine is available for clinical use. Since the pathogenicity of different Leishmania strains is inconsistent, the differentially expressed proteins in Leishmania strains may pl...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-06-01
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| Series: | Frontiers in Immunology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2022.902066/full |
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| author | Jianhui Zhang Jiao Li Kaifeng Hu Kaifeng Hu Qi Zhou Xiaoxiao Chen Jinlei He Shuangshuang Yin Yangjian Chi Xuechun Liao Yuying Xiao Hanxiao Qin Zhiwan Zheng Jianping Chen Jianping Chen |
| author_facet | Jianhui Zhang Jiao Li Kaifeng Hu Kaifeng Hu Qi Zhou Xiaoxiao Chen Jinlei He Shuangshuang Yin Yangjian Chi Xuechun Liao Yuying Xiao Hanxiao Qin Zhiwan Zheng Jianping Chen Jianping Chen |
| author_sort | Jianhui Zhang |
| collection | DOAJ |
| description | Visceral leishmaniasis (VL), also known as kala-azar, is the most dangerous form of leishmaniasis. Currently no effective vaccine is available for clinical use. Since the pathogenicity of different Leishmania strains is inconsistent, the differentially expressed proteins in Leishmania strains may play an important role as virulence factors in pathogenesis. Therefore, effective vaccine candidate targets may exist in the differentially expressed proteins. In this study, we used differential proteomics analysis to find the differentially expressed proteins in two Leishmania donovani strains, and combined with immunoinformatics analysis to find new vaccine candidates. The differentially expressed proteins from L. DD8 (low virulent) and L. 9044 (virulent) strains were analyzed by LC-MS/MS, and preliminarily screened by antigenicity, allergenicity and homology evaluation. The binding peptides of MHC II, IFN-γ and MHC I from differentially expressed proteins were then predicted and calculated for the second screening. IFN-γ/IL-10 ratios and conserved domain prediction were performed to choose more desirable differentially expressed proteins. Finally, the 3D structures of three vaccine candidate proteins were produced and submitted for molecular dynamics simulation and molecular docking interaction with TLR4/MD2. The results showed that 396 differentially expressed proteins were identified by LC-MS/MS, and 155 differentially expressed proteins were selected through antigenicity, allergenicity and homology evaluation. Finally, 16 proteins whose percentages of MHC II, IFN-γ and MHC I binding peptides were greater than those of control groups (TSA, LmSTI1, LeIF, Leish-111f) were considered to be suitable vaccine candidates. Among the 16 candidates, amino acid permease, amastin-like protein and the hypothetical protein (XP_003865405.1) simultaneously had the large ratios of IFN-γ/IL-10 and high percentages of MHC II, IFN-γ and MHC I, which should be focused on. In conclusion, our comprehensive work provided a methodological basis to screen new vaccine candidates for a better intervention against VL and associated diseases. |
| first_indexed | 2024-12-12T15:47:58Z |
| format | Article |
| id | doaj.art-b850a586aa074d7eb116b31d754d2e64 |
| institution | Directory Open Access Journal |
| issn | 1664-3224 |
| language | English |
| last_indexed | 2024-12-12T15:47:58Z |
| publishDate | 2022-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Immunology |
| spelling | doaj.art-b850a586aa074d7eb116b31d754d2e642022-12-22T00:19:42ZengFrontiers Media S.A.Frontiers in Immunology1664-32242022-06-011310.3389/fimmu.2022.902066902066Screening Novel Vaccine Candidates for Leishmania Donovani by Combining Differential Proteomics and Immunoinformatics AnalysisJianhui Zhang0Jiao Li1Kaifeng Hu2Kaifeng Hu3Qi Zhou4Xiaoxiao Chen5Jinlei He6Shuangshuang Yin7Yangjian Chi8Xuechun Liao9Yuying Xiao10Hanxiao Qin11Zhiwan Zheng12Jianping Chen13Jianping Chen14Department of Pathogenic Biology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, ChinaDepartment of Pathogenic Biology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, ChinaDepartment of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, ChinaDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, ChinaDepartment of Pathogenic Biology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, ChinaDepartment of Pathogenic Biology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, ChinaDepartment of Pathogenic Biology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, ChinaDepartment of Pathogenic Biology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, ChinaDepartment of Urinary Surgery, Jianou Municipal Hospital of Fujian Province, Jianou, ChinaDepartment of Pathogenic Biology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, ChinaDepartment of Pathogenic Biology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, ChinaDepartment of Pathogenic Biology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, ChinaDepartment of Pathogenic Biology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, ChinaDepartment of Pathogenic Biology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, ChinaAnimal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Sichuan University, Chengdu, ChinaVisceral leishmaniasis (VL), also known as kala-azar, is the most dangerous form of leishmaniasis. Currently no effective vaccine is available for clinical use. Since the pathogenicity of different Leishmania strains is inconsistent, the differentially expressed proteins in Leishmania strains may play an important role as virulence factors in pathogenesis. Therefore, effective vaccine candidate targets may exist in the differentially expressed proteins. In this study, we used differential proteomics analysis to find the differentially expressed proteins in two Leishmania donovani strains, and combined with immunoinformatics analysis to find new vaccine candidates. The differentially expressed proteins from L. DD8 (low virulent) and L. 9044 (virulent) strains were analyzed by LC-MS/MS, and preliminarily screened by antigenicity, allergenicity and homology evaluation. The binding peptides of MHC II, IFN-γ and MHC I from differentially expressed proteins were then predicted and calculated for the second screening. IFN-γ/IL-10 ratios and conserved domain prediction were performed to choose more desirable differentially expressed proteins. Finally, the 3D structures of three vaccine candidate proteins were produced and submitted for molecular dynamics simulation and molecular docking interaction with TLR4/MD2. The results showed that 396 differentially expressed proteins were identified by LC-MS/MS, and 155 differentially expressed proteins were selected through antigenicity, allergenicity and homology evaluation. Finally, 16 proteins whose percentages of MHC II, IFN-γ and MHC I binding peptides were greater than those of control groups (TSA, LmSTI1, LeIF, Leish-111f) were considered to be suitable vaccine candidates. Among the 16 candidates, amino acid permease, amastin-like protein and the hypothetical protein (XP_003865405.1) simultaneously had the large ratios of IFN-γ/IL-10 and high percentages of MHC II, IFN-γ and MHC I, which should be focused on. In conclusion, our comprehensive work provided a methodological basis to screen new vaccine candidates for a better intervention against VL and associated diseases.https://www.frontiersin.org/articles/10.3389/fimmu.2022.902066/fullLeishmania donovanivaccineimmunoinformaticsdifferentially expressed proteinepitope prediction |
| spellingShingle | Jianhui Zhang Jiao Li Kaifeng Hu Kaifeng Hu Qi Zhou Xiaoxiao Chen Jinlei He Shuangshuang Yin Yangjian Chi Xuechun Liao Yuying Xiao Hanxiao Qin Zhiwan Zheng Jianping Chen Jianping Chen Screening Novel Vaccine Candidates for Leishmania Donovani by Combining Differential Proteomics and Immunoinformatics Analysis Frontiers in Immunology Leishmania donovani vaccine immunoinformatics differentially expressed protein epitope prediction |
| title | Screening Novel Vaccine Candidates for Leishmania Donovani by Combining Differential Proteomics and Immunoinformatics Analysis |
| title_full | Screening Novel Vaccine Candidates for Leishmania Donovani by Combining Differential Proteomics and Immunoinformatics Analysis |
| title_fullStr | Screening Novel Vaccine Candidates for Leishmania Donovani by Combining Differential Proteomics and Immunoinformatics Analysis |
| title_full_unstemmed | Screening Novel Vaccine Candidates for Leishmania Donovani by Combining Differential Proteomics and Immunoinformatics Analysis |
| title_short | Screening Novel Vaccine Candidates for Leishmania Donovani by Combining Differential Proteomics and Immunoinformatics Analysis |
| title_sort | screening novel vaccine candidates for leishmania donovani by combining differential proteomics and immunoinformatics analysis |
| topic | Leishmania donovani vaccine immunoinformatics differentially expressed protein epitope prediction |
| url | https://www.frontiersin.org/articles/10.3389/fimmu.2022.902066/full |
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