Evidence map›Paper›PMID 36114584›Full record

ArticleInfectious diseases of poverty2022

Dynamic antimicrobial resistant patterns of Escherichia coli from healthy poultry and swine over 10 years in Chongming Island, Shanghai.

Chao Lv, Jun Shang, Wengang Zhang, Bingqing Sun, Min Li, Chaoyi Guo, Nan Zhou, Xiaokui Guo, Shixin Huang, Yongzhang Zhu

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
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  5. Antimicrobial Resistance in CommensalAntibiotics (Basel, Switzerland) · 2023
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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

10 authors at 1 institution in 1 country.

Chao Lv *Department of Animal Health and Food Safety, School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jun Shang *Shanghai Center for Animal Disease Prevention and Control, Shanghai Institute for Veterinary Drugs and Feeds Control, Shanghai, 201103, China.
Wengang Zhang *Shanghai Center for Animal Disease Prevention and Control, Shanghai Institute for Veterinary Drugs and Feeds Control, Shanghai, 201103, China.
Bingqing SunShanghai Center for Animal Disease Prevention and Control, Shanghai Institute for Veterinary Drugs and Feeds Control, Shanghai, 201103, China.
Min LiDepartment of Animal Health and Food Safety, School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chaoyi GuoDepartment of Animal Health and Food Safety, School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Nan ZhouDepartment of Animal Health and Food Safety, School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaokui GuoDepartment of Animal Health and Food Safety, School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China. xkguo@shsmu.edu.cn.
Shixin HuangShanghai Center for Animal Disease Prevention and Control, Shanghai Institute for Veterinary Drugs and Feeds Control, Shanghai, 201103, China. huangshx1968@sina.cn.
Yongzhang ZhuDepartment of Animal Health and Food Safety, School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China. yzhzhu@sjtu.edu.cn.
Shanghai Jiao Tong University · CN

Funding

China Medical Board No. 20-365National Natural Science Foundation of China 32170141Shanghai Jiao Tong University Integrated Innovation Fund no. 2020-01
6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) is one of the greatest threats to animal and public health. Here, we conducted a dynamic surveillance of Escherichia coli on Chongming Island in Shanghai during 2009-2021 to identify the characteristics and trends of Chongming's AMR pandemic.

methodsRectal (cloaca) swabs from four poultry and nine swine farms (Chongming Island, 2009-2021) were collected for E. coli strains acquisition. The micro-broth dilution method was used to test antimicrobial susceptibility of E. coli isolates against 10 antimicrobial classes including 15 antimicrobials. Utilizing generalized linear mixed models (GLMMs) and co-occurrence analyses, we further explored the multiple-drug-resistance (MDR) combinations and dynamic patterns of E. coli over 10 years in two food animals.

resultsTotal of 863 MDR isolates were found among 945 collected E. coli isolates, 337 from poultry and 608 from swine. Both isolates exhibited high resistant rates (> 70%) to tetracyclines, phenicols, sulfonamides, penicillins, and aminoglycosides (only in swine). The resistant rates of swine isolates to penicillins, aminoglycosides, tetracyclines, phenicols, and polymyxins were significantly higher than those of poultry isolates, whereas resistance to fluoroquinolones was reversed. Resistance to polymyxins decreased similarly in swine (42.4% in 2009 to 0.0% in 2021) and poultry isolates (from 16.5% to 0.0%). However, resistance to other seven antimicrobial classes (excluding carbapenems and penicillins) declined dramatically in swine isolates, particularly fluoroquinolones (from 80.5% to 14.4%), and tendencies of resistance to the seven classes showed markedly divergent patterns in poultry isolates. Using Poisson GLMMs, the AMR carriage since 2016 was significantly lower than that of 2009 (odds ratio < 1), indicating a decline in the risk of MDR emergence. Furthermore, despite the highly diverse MDR profiles, co-occurrence analysis identified two prominent MDR clusters of penicillins-phenicols-fluoroquinolones in poultry and aminoglycosides-tetracyclines-sulfonamides-phenicols in swine.

conclusionsOur study uncovered vastly distinct AMR patterns and dynamic tendencies of poultry and swine E. coli isolates from Chongming. Meanwhile, Chongming's AMR status has ameliorated, as indicated by the decline in antimicrobials prevalence (particularly in swine), lower likelihood of MDR emergence and low carbapenem-, cephalosporin-, and polymyxin resistance. Importantly, this surveillance results are the vital basis for future policy development in Chongming and Shanghai.

Indexed as

Anti-Infective AgentsEscherichia coli InfectionsAminoglycosidesAnimalsAnti-Bacterial AgentsCarbapenemsCephalosporinsChinaDrug Resistance, BacterialEscherichia coliFluoroquinolonesMicrobial Sensitivity TestsPenicillinsPolymyxinsPoultrySulfonamidesAminoglycosidesAnti-Bacterial AgentsAnti-Infective AgentsCarbapenemsCephalosporinsFluoroquinolonesPenicillinsPolymyxinsSulfonamidesTetracyclinesAntimicrobial resistanceChongming IslandEscherichia coliFood animalLongitudinal trend analysisShanghai

Identifiers

PMID36114584
PMCPMC9482194
OpenAlexW4296161958

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.