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Utilizing Quantitative Proteomics to Identify Species-Specific Protein for the Treatment of Leishmaniasis
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Metadata
Document Title
Utilizing Quantitative Proteomics to Identify Species-Specific Protein for the Treatment of Leishmaniasis
Author
Krobthong S, Yingchutrakul Y, Samutrtai P, Hitakarun A, Siripattanapipong S, Leelayoova S, Mungthin M, Choowongkomon K
Name from Authors Collection
Affiliations
Kasetsart University; Mahidol University; National Science & Technology Development Agency - Thailand; Chiang Mai University; Mahidol University; Phramongkutklao College of Medicine; Kasetsart University
Type
Article
Source Title
ACS OMEGA
Year
2022
Volume
7
Issue
15
Page
12580-12588
Open Access
gold, Green Published
Publisher
AMER CHEMICAL SOC
DOI
10.1021/acsomega.1c05792
Format
Abstract
Leishmaniasis is a tropical disease caused by Leishmania parasites, which are transmitted through the bites of infected sandflies. We focused on the emergence of leishmaniasis in Thailand caused by a species (Leishmania orientalis). Treatment by chemotherapy is not effective against L. orientalis. Hence, we intended to solve this issue using a proteomics approach to investigate protein profiles and in silico analysis for the identification of antigenic proteins from L. orientalis, Leishmania martiniquensis, and Leishmania donovani. Using principal component analysis (PCA), protein profile comparisons indicated that different species of Leishmania are different at the protein level. Proteomics analysis identified 6099 proteins. Among these proteins, 1065 proteins were used for further analysis. There were 16 proteins that were promising candidates for therapeutic aspects as they were abundantly expressed and common to all species. In silico analysis of protein's antigenicity revealed that eight proteins had the potential for the development of antigenic molecules. Protein profile information and these antigenic proteins may play key roles in the pathogeny of leishmaniasis and can be used as novel therapeutic targets against leishmaniasis in the future.
Industrial Classification
Knowledge Taxonomy Level 3
Funding Sponsor
Kasetsart University Research and Development Institute: KURDI [FF(KU)6.64]; Center for Advanced Studies in Nanotechnology for Chemical, Food and Agricultural Industries, KU Institute for Advanced Studies; Kasetsart University
Publication Source
WOS