Literature DB >> 33387247

Exploration of Serum Marker Proteins in Mice Induced by Babesia microti Infection Using a Quantitative Proteomic Approach.

Xiaoshuang Wang1, Shuguang Ren1,2, Xiaohong Yang3,4, Abolfazl Masoudi1, Xiaomin Xue1, Mengxue Li1, Hongxia Li1, Xiaojing Zhang1, Hui Wang5,6, Jingze Liu7,8.   

Abstract

Babesia microti is a protozoan that mainly parasitizes rodent and human erythrocytes. B. microti infection can result in changes in the expression levels of various proteins in the host serum. To explore the mechanism underlying the regulation of serum proteins by the host during B. microti infection, this study used a data-independent acquisition (DIA) quantitative proteomic approach to perform comprehensive quantitative proteomic analysis on the serum of B. microti-infected mice. We identified and analysed 333 serum proteins during the infectious stage and recovery stage within 30 days of infection by B. microti in mice. Through quantitative analysis, we found 57 proteins differentially expressed in the infection stage and 69 proteins differentially expressed in the recovery stage. Bioinformatics analysis revealed that these differentially expressed proteins were mainly concentrated in organelles, cell parts, and extracellular regions that are mainly involved in immune system, metabolic, and cellular processes. Additionally, the differentially expressed proteins mainly had catalytic activity. Kyoto Encyclopedia of Genes and Genome (KEGG) pathway analysis showed that many of the differentially expressed proteins participate in the complement and coagulation cascade reaction, including complement C3, complement FP, and coagulation factor XII. The results of this study can provide more information for the selection of biomarkers for the early clinical monitoring of babesiosis and help in the treatment of babesiosis.

Entities:  

Keywords:  Babesia microti; Infection; Proteomic; Serum

Mesh:

Substances:

Year:  2021        PMID: 33387247     DOI: 10.1007/s10930-020-09952-7

Source DB:  PubMed          Journal:  Protein J        ISSN: 1572-3887            Impact factor:   2.371


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