Evidence map›Paper›PMID 38491518›Full record

ArticleBMC veterinary research2024

Serological investigation and isolation of Salmonella abortus equi in horses in Xinjiang.

Zhanhai Mai, Han Fu, Ronghao Miao, Chong Lu, Xiaosong Zhang, Ziwen Yuan, Peng Ji, Yongli Hua, Chen Wang, Yuhui Ma and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Pathogenicity assessment and whole-genome sequencing ofFrontiers in veterinary science · 2025
    Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Zhanhai MaiCollege of Veterinary Medicine, Gansu Agricultural University, Lanzhou, China.
Han FuCollege of Veterinary Medicine, Xinjiang Agricultural University, Urumqi, China.
Ronghao MiaoCollege of Veterinary Medicine, Xinjiang Agricultural University, Urumqi, China.
Chong LuCollege of Veterinary Medicine, Xinjiang Agricultural University, Urumqi, China.
Xiaosong ZhangCollege of Veterinary Medicine, Gansu Agricultural University, Lanzhou, China.
Ziwen YuanCollege of Veterinary Medicine, Gansu Agricultural University, Lanzhou, China.
Peng JiCollege of Veterinary Medicine, Gansu Agricultural University, Lanzhou, China.
Yongli HuaCollege of Veterinary Medicine, Gansu Agricultural University, Lanzhou, China.
Chen WangAnimal Husbandry and Veterinary Station of Bazhou Center for Disease Control and Prevention of Korla, Korla, China.
Yuhui MaAnimal Husbandry and Veterinary Medicine Development Center of Zhaosu County, Zhaosu, China.
Haifeng DengZhaosu Horse Farm, Ili Kazakh Autonomous Prefecture, Zhaosu, China.
Yanming WeiCollege of Veterinary Medicine, Gansu Agricultural University, Lanzhou, China. weiym@gsau.edu.cn.
Gansu Agricultural University · CNXinjiang Agricultural University · CN

Funding

National Natural Science Foundation of China 32002322
6 · The paper itself

Abstract

backgroundSalmonella enterica subspecies enterica serovar abortus equi (S. abortus equi) is one of the main pathogens that causes abortion in pregnant horses and donkeys, which was highly infectious and greatly restricts the healthy development of the horse industry.

objectivesIn order to investigate the prevalence and biological characteristics of S. abortus equi in different regions and breeds of horses in Xinjiang.

methodsThis study conducted ELISA detection of S. abortus equi antibodies on serum samples of 971 horses collected from three large-scale horse farms and five free-range horse farms in Yili Prefecture and Bayingol Mongolian Autonomous Prefecture of Xinjiang from 2020 to 2023. On this basis, bacterial isolation, culture, identification, and drug sensitivity tests were conducted on 42 samples of aborted foal tissues and 23 mare vaginal swabs.

resultsThe results showed that the positive rate of S. abortus equi antibody was as high as 20.91% in 971 horse serum samples. Among them, the positive rate in the Ili region (29.09%) was significantly higher than that in the Bayingole region (11.24%), and the positive rate in mares (22.45%) was higher than that in stallions (14.05%). In terms of horse breeds, the positive rates of self-propagating thoroughbred horses, half-bred horses, Ili horses and Yanqi horses were 43.22%, 28.81%, 14.72% and 11.24% respectively. In addition, S. abortus equi was more susceptible to juvenile and elderly horses, with positive rates of 70.00%and 41.86%, respectively, both of which were significantly higher than young (10.97%) and adult (19.79%) horses. Further, 9 strains of S. abortus equi were obtained through bacterial isolation, culture and identification, which were resistant to five antibiotics (Clarithromycin, Clindamycin, penicillin, Sulfamethoxazole and Rifampicin), and sensitive to 13 antimicrobial agents (Amoxicillin, Ciprofloxacin and Gentamicin, et al.).

conclusionThere was a high infection rate of S. abortus equi in Ili Prefecture and self-propagating thoroughbred horses, and juvenile or old mares were more susceptible, which will provide scientific basis for the prevention of S. abortus equi infection in different regions and breeds of horses in Xinjiang.

Indexed as

Abortion, VeterinaryHorse DiseasesAnimalsEnzyme-Linked Immunosorbent AssayEquidaeFemaleHorsesMalePregnancySalmonellaDrug sensitivityEquineFliCInvASalmonella abortus equiSerological investigation

Identifiers

PMID38491518
PMCPMC10941388
OpenAlexW4392853406

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.