Quantitative Proteome Analysis of Plasma Extracellular Vesicles Identifies Three Proteins with Potential Diagnostic Value for <i>Mycobacterium bovis</i> Infection in Cows

Bovine tuberculosis (bTB) is a zoonotic disease that affects cattle and human health. Although the tuberculin skin test (TST) is the main detection method, there is a need for simpler on-farm tests using fluid samples. This study analyzed plasma extracellular vesicles (EVs) from two cow groups (Cohort A, 15 negative, 22 positive; Cohort B, 28 negative, 40 positive) to explore bTB indicators using proteome profiling. Among the 756 proteins, 217 (Cohort A) and 233 (Cohort B) showed differences between healthy and infected cows, with 47 consistently dysregulated in both groups. These proteins were related to tuberculosis, neutrophil extracellular trap formation, and antigen processing and presentation pathways. Notably, three proteins, HSPA8, B2M, and HRG, were confirmed as bTB indicators using multiple methods, including least absolute shrinkage and selection operator (Lasso) regression selection, western blot (WB), and enzyme-linked immunosorbent assay (ELISA) validation with an independent cohort (Cohort C). This study identifies plasma EV biomarkers for bTB infection, offering insights for bTB detection.

Authors

Institutions

Publication Details

Journal
Journal of Proteome Research
Published
2025-05-15
DOI
https://doi.org/10.1021/acs.jproteome.5c00143
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative Proteome Analysis of Plasma Extracellular Vesicles Identifies Three Proteins with Potential Diagnostic Value for Mycobacterium bovis Infection in Cows

Wenhui Wu, Qilong Zhang, Degang Zhou, Hangfan Zhou et al.
Journal of Proteome Research
Extracellular vesicles in disease
article

Quantitative Proteome Analysis of Plasma Extracellular Vesicles Identifies Three Proteins with Potential Diagnostic Value for Mycobacterium bovis Infection in Cows

Wenhui Wu, Qilong Zhang, Degang Zhou, Hangfan Zhou, Jiaqiang Zhu, Yuan Ma, Songhao Jiang, Lei Chang, Tao Zhang, Hui Liu, Yuping Xie, Ping Xu, Yao Zhang
article en

Abstract

Bovine tuberculosis (bTB) is a zoonotic disease that affects cattle and human health. Although the tuberculin skin test (TST) is the main detection method, there is a need for simpler on-farm tests using fluid samples. This study analyzed plasma extracellular vesicles (EVs) from two cow groups (Cohort A, 15 negative, 22 positive; Cohort B, 28 negative, 40 positive) to explore bTB indicators using proteome profiling. Among the 756 proteins, 217 (Cohort A) and 233 (Cohort B) showed differences between healthy and infected cows, with 47 consistently dysregulated in both groups. These proteins were related to tuberculosis, neutrophil extracellular trap formation, and antigen processing and presentation pathways. Notably, three proteins, HSPA8, B2M, and HRG, were confirmed as bTB indicators using multiple methods, including least absolute shrinkage and selection operator (Lasso) regression selection, western blot (WB), and enzyme-linked immunosorbent assay (ELISA) validation with an independent cohort (Cohort C). This study identifies plasma EV biomarkers for bTB infection, offering insights for bTB detection.

Journal of Proteome ResearchVol. 24(6)
Guangzhou University of Chinese Medicine (CN), Guizhou University (CN), Anhui Medical University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Beijing Proteome Research Center (CN), Indiana University School of Medicine
National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, Chinese Academy of Medical Sciences
Zero hunger
Openalex Percentile: Top 90%
Extracellular vesicles in disease
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.