Evidence map›Paper›PMID 32434590›Full record

ArticleBMC veterinary research2020

Isolation and characteristics of multi-drug resistant Streptococcus porcinus from the vaginal secretions of sow with endometritis.

Yawen Wang, Haiyong Guo, Yun Bai, Tanqing Li, Ruitao Xu, Tairan Sun, Jicheng Lu, Qinye Song

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

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  11. Bacteriocin ProducingMicroorganisms · 2022
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  12. Active components and molecular mechanism ofFrontiers in veterinary science · 2022
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  13. Article
  14. Detection of VariousAntibiotics (Basel, Switzerland) · 2020
    Article
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

8 authors at 2 institutions in 1 country.

Yawen WangHebei Province Research Center of Veterinary Biological Engineering and Technology, College of Veterinary Medicine, Hebei Agricultural University, Baoding, 071000, China.
Haiyong GuoSchool of Life Science, Jilin Normal University, Siping, 136000, China.
Yun BaiHebei Province Research Center of Veterinary Biological Engineering and Technology, College of Veterinary Medicine, Hebei Agricultural University, Baoding, 071000, China.
Tanqing LiHebei Province Research Center of Veterinary Biological Engineering and Technology, College of Veterinary Medicine, Hebei Agricultural University, Baoding, 071000, China.
Ruitao XuHebei Province Research Center of Veterinary Biological Engineering and Technology, College of Veterinary Medicine, Hebei Agricultural University, Baoding, 071000, China.
Tairan SunBaoding Animal Disease Control and Prevention Center, Baoding, 071000, Hebei, China.
Jicheng LuBaoding Animal Disease Control and Prevention Center, Baoding, 071000, Hebei, China.
Qinye SongHebei Province Research Center of Veterinary Biological Engineering and Technology, College of Veterinary Medicine, Hebei Agricultural University, Baoding, 071000, China. songqinye@126.com.ORCID http://orcid.org/0000-0002-2899-8517
Hebei Agricultural University · CNJilin Normal University · CN

Funding

National Science and Technology Program during the Twelfth Five-year Plan Period 2016YFD0500703-4the Hebei Province Science and Technology Support Program 17226613DUnitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii (RO) CXZZSS2018056
6 · The paper itself

Abstract

backgroundSow endometritis is a common disease in pig breeding farms after artificial insemination, which leads to gray-green vaginal secretions and decreased conception rates. It is important to perform an etiologic diagnosis for effective treatments and control of diseases. The aim of this study was to carry out a pathogenic detection in five specimens of vaginal secretions collected from sick pigs with endometritis, implement identification of the pathogens by phenotypic detection and 16 s rDNA sequence and phylogeny analysis, and determinate antibiotic susceptibility of the isolates.

resultsA Streptococcus strain was isolated and identified from all of the five specimens. The isolate was positive for Voges-Proskauer (V-P) and for the hydrolysis of arginine, esculin and myelin-associated glycoprotein (MAG). Acid formation was observed for sorbitol, mushroom sugar, sucrose, and glucose. The 16S rDNA sequence of the isolate possessed 99.93% similarity to that of Streptococcus porcinus. The phylogenetic analysis of 16S rDNA sequence showed that the isolate belonged to the same clade as the S. porcinus strains from humans, pigs, and other animals. The isolate exhibited multi-drug resistance to aminoglycosides, quinolones, macrolides and tetracyclines except being sensitive to some β- lactams such as penicillin G, cephalothin, cefazolin, cephradine and cefuroxime.

conclusionsA S. porcinus isolate with multi-drug resistance was identified from vaginal secretions of sows with endometritis in one pig breeding farm, which suggests that the sow endometritis was caused by S. porcinus infection during artificial insemination. This study indicates that sensitive antibiotics such as penicillin G or some cephalosporins could be used for treatment of the diseases. In addition, the study hints that bacterial multi-drug resistance is a tough problem for disease treatment in pig farms.

Indexed as

Drug Resistance, Multiple, BacterialAnimalsAnti-Bacterial AgentsDNA, RibosomalEndometritisFemaleInsemination, ArtificialPhylogenySequence Analysis, DNAStreptococcal InfectionsStreptococcusSwineSwine DiseasesVaginal DischargeAnti-Bacterial AgentsDNA, RibosomalEndometritisMulti-drug resistanceSowStreptococcus porcinus

Identifiers

PMID32434590
PMCPMC7238638
OpenAlexW3027986544

What OpenQuestion holds

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LicenceCC BY
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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.