Unveiling Equine Abortion Pathogens: A One Health Perspective on Prevalence and Resistance in Northwest China

Equine bacterial abortion presents substantial economic and One Health challenges; however, comprehensive epidemiological data from China are limited. This study sought to ascertain the overall prevalence of key pathogens-namely, <i>Chlamydia</i> spp., <i>Coxiella burnetii</i>, <i>Salmonella abortus equi</i>, and <i>Brucella</i> spp.-in equine populations in northwestern China. In this study, we aimed to further elucidate the characteristics of co-infections, profile antimicrobial resistance genes, and identify associated risk factors. Conducted as a cross-sectional analysis across four provinces, we collected 508 blood samples and 24 abortion tissue samples from 15 farms. Pathogen detection was performed using ELISA and real-time PCR, complemented by a targeted PCR panel screening for 29 AMR genes. The highest prevalence was observed for <i>S. abortus equi</i> (serology: 35.03%; molecular: 23.03%), followed by <i>C. burnetii</i> (28.94%; 15.35%) and <i>Chlamydia</i> spp. (18.90%; 14.17%). No PCR-confirmed cases of <i>Brucella</i> spp. were detected, despite low-level seropositivity. Notably, donkeys and horses aged 5-10 years exhibited higher positivity rates, and co-infections were common, particularly <i>S. abortus equi</i> + <i>C. burnetii</i> (<i>n</i> = 44). Among the 196 PCR-positive samples, extended-spectrum beta-lactamase (ESBL) genes were predominant, with <i>CTX-M</i> (n = 158) and <i>TEM-1</i> (n = 106) being the most prevalent. Additionally, we identified a high prevalence of genes conferring resistance to fluoroquinolones <i>(qnrA/B</i>), tetracyclines (<i>tetM</i>), macrolides (<i>ermA/B/C</i>), and sulfonamides <i>(sul1</i>), along with sporadic occurrences of carbapenemase genes. This study presents the inaugural comprehensive analysis of pathogen prevalence and associated antimicrobial resistance (AMR) gene carriage in equine abortion cases in northwest China. The findings highlight the imperative for integrated serological and molecular surveillance, revealing a significant discrepancy between empirical therapeutic approaches and the prevalent resistance genotypes. Consequently, this research lays the groundwork for evidence-based biosecurity measures and antimicrobial stewardship within a One Health framework.

Authors

Institutions

Publication Details

Journal
Pathogens
Published
2025-12-11
DOI
https://doi.org/10.3390/pathogens14121275
Primary Topic
Reproductive tract infections research
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Unveiling Equine Abortion Pathogens: A One Health Perspective on Prevalence and Resistance in Northwest China

Jiangshan Zhao, Qiwei Chen, Weijun Gao, Yunlong Sun et al.
Pathogens
Reproductive tract infections research
article

Unveiling Equine Abortion Pathogens: A One Health Perspective on Prevalence and Resistance in Northwest China

Jiangshan Zhao, Qiwei Chen, Weijun Gao, Yunlong Sun, Xiaowei Gong, Yong Zhang, Jizhang Zhou, Mengyao Liu, J H Duan, Kastai Nurdaly, Duojie Caidan
article en

Abstract

Equine bacterial abortion presents substantial economic and One Health challenges; however, comprehensive epidemiological data from China are limited. This study sought to ascertain the overall prevalence of key pathogens-namely, <i>Chlamydia</i> spp., <i>Coxiella burnetii</i>, <i>Salmonella abortus equi</i>, and <i>Brucella</i> spp.-in equine populations in northwestern China. In this study, we aimed to further elucidate the characteristics of co-infections, profile antimicrobial resistance genes, and identify associated risk factors. Conducted as a cross-sectional analysis across four provinces, we collected 508 blood samples and 24 abortion tissue samples from 15 farms. Pathogen detection was performed using ELISA and real-time PCR, complemented by a targeted PCR panel screening for 29 AMR genes. The highest prevalence was observed for <i>S. abortus equi</i> (serology: 35.03%; molecular: 23.03%), followed by <i>C. burnetii</i> (28.94%; 15.35%) and <i>Chlamydia</i> spp. (18.90%; 14.17%). No PCR-confirmed cases of <i>Brucella</i> spp. were detected, despite low-level seropositivity. Notably, donkeys and horses aged 5-10 years exhibited higher positivity rates, and co-infections were common, particularly <i>S. abortus equi</i> + <i>C. burnetii</i> (<i>n</i> = 44). Among the 196 PCR-positive samples, extended-spectrum beta-lactamase (ESBL) genes were predominant, with <i>CTX-M</i> (n = 158) and <i>TEM-1</i> (n = 106) being the most prevalent. Additionally, we identified a high prevalence of genes conferring resistance to fluoroquinolones <i>(qnrA/B</i>), tetracyclines (<i>tetM</i>), macrolides (<i>ermA/B/C</i>), and sulfonamides <i>(sul1</i>), along with sporadic occurrences of carbapenemase genes. This study presents the inaugural comprehensive analysis of pathogen prevalence and associated antimicrobial resistance (AMR) gene carriage in equine abortion cases in northwest China. The findings highlight the imperative for integrated serological and molecular surveillance, revealing a significant discrepancy between empirical therapeutic approaches and the prevalent resistance genotypes. Consequently, this research lays the groundwork for evidence-based biosecurity measures and antimicrobial stewardship within a One Health framework.

PathogensVol. 14(12)
Gansu Agricultural University (CN), Lanzhou Veterinary Research Institute (CN), Xinjiang Uygur Autonomous Region Disease Prevention and Control Center (CN)
Strong
Openalex Percentile: Top 62%
Reproductive tract infections research
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.