Evidence map›Paper›PMID 39932934›Full record

ArticlePloS one2025

Risk assessment of antibiotic residues and resistance profile of E. coli in typical rivers of Sichuan, China.

Jingzhou Sha, Minghao Wu, Yaliang Zhou, Tao Cheng, Haisha Liu, Jingjing Zhang, Wan Luo, Yi Huang, Yinshan Liu, Baoming Wang and 2 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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.

Jingzhou ShaSichuan Solid Waste and Chemical Management Center, Department of Ecology and Environment of Sichuan Province, Chengdu, Sichuan, China.
Minghao WuDepartment of Pharmacy, The First Hospital of Liangshan, Liangshan, Sichuan, China.
Yaliang ZhouSichuan University West China Hospital, Chengdu, Sichuan, China.
Tao ChengSichuan University West China Hospital, Chengdu, Sichuan, China.
Haisha LiuSichuan Solid Waste and Chemical Management Center, Department of Ecology and Environment of Sichuan Province, Chengdu, Sichuan, China.
Jingjing ZhangSichuan Solid Waste and Chemical Management Center, Department of Ecology and Environment of Sichuan Province, Chengdu, Sichuan, China.
Wan LuoSichuan Solid Waste and Chemical Management Center, Department of Ecology and Environment of Sichuan Province, Chengdu, Sichuan, China.
Yi HuangSichuan Solid Waste and Chemical Management Center, Department of Ecology and Environment of Sichuan Province, Chengdu, Sichuan, China.
Yinshan LiuSichuan Solid Waste and Chemical Management Center, Department of Ecology and Environment of Sichuan Province, Chengdu, Sichuan, China.
Baoming WangAntibiotics Research and Re-evaluation Key Laboratory of Sichuan Province, Sichuan Industrial Institute of Antibiotics, School of pharmacy, Chengdu University, Chengdu, Sichuan, China.
Tao SongAntibiotics Research and Re-evaluation Key Laboratory of Sichuan Province, Sichuan Industrial Institute of Antibiotics, School of pharmacy, Chengdu University, Chengdu, Sichuan, China.
Jiafu LinAntibiotics Research and Re-evaluation Key Laboratory of Sichuan Province, Sichuan Industrial Institute of Antibiotics, School of pharmacy, Chengdu University, Chengdu, Sichuan, China.ORCID 0000-0001-7597-9549

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The presence and distribution of antibiotics and antibiotic resistance genes (ARGs) in rivers have attracted significant global concern. However, research on the contamination of typical rivers in Sichuan Province, China, remains limited. This study aimed to assess the residual levels of antibiotics across 42 national and provincial monitoring sites in nine rivers within Sichuan using UPLC-MS/MS. Ecological risk levels were evaluated through established risk assessment methods, and antibiotic resistance in Escherichia coli(E.coli) isolated from these waters was determined using the Kirby-Bauer disk diffusion method. Additionally, redundancy analysis (RDA) was conducted to explore the impact of residual antibiotics on the microbial community structure in the Minjiang River basin. Antibiotics were detected in all nine rivers studied, with the Minjiang, Tuojiang, and Jialingjiang rivers exhibiting particularly severe contamination, with concentrations ranging from 0.29 to 2233.71 ng/L. The level of antibiotic pollution in the Sichuan Basin was significantly higher than in other regions of Sichuan, likely due to the area's high population density. Furthermore, 9.77% of E. coli isolates from the nine rivers exhibited antibiotic resistance, with over 5.8% demonstrating multidrugs resistance. Norfloxacin, amoxicillin, ampicillin, and tetracycline were identified as the primary contributors to the high ecological risk at 26 of the 42 monitoring sites. A strong correlation was observed between residual antibiotics and changes in microbial community structure. These findings provide critical insights into the distribution of antibiotics and ARGs in the rivers of Sichuan Province and highlight the urgent need for targeted strategies to mitigate antibiotic pollution. Addressing this issue is essential to protect both ecological integrity and public health.

Indexed as

Anti-Bacterial AgentsDrug ResiduesDrug Resistance, BacterialEscherichia coliRiversWater Pollutants, ChemicalChinaEnvironmental MonitoringNorfloxacinRisk AssessmentWater MicrobiologyAnti-Bacterial AgentsNorfloxacinWater Pollutants, Chemical

Identifiers

PMID39932934
PMCPMC11813091

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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.