Evidence map›Paper›PMID 37989759›Full record

ArticleScientific reports2023

Assessing the nonlinear association of environmental factors with antibiotic resistance genes (ARGs) in the Yangtze River Mouth, China.

Jiazheng Miao, Yikai Ling, Xiaoyuan Chen, Siyuan Wu, Xinyue Liu, Shixin Xu, Sajid Umar, Benjamin D Anderson

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
0.8field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. 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 3 institutions in 2 countries.

Jiazheng MiaoDivision of Natural and Applied Science, Duke Kunshan University, Kunshan, Jiangsu, China.
Yikai LingDivision of Natural and Applied Science, Duke Kunshan University, Kunshan, Jiangsu, China.
Xiaoyuan ChenDivision of Natural and Applied Science, Duke Kunshan University, Kunshan, Jiangsu, China.
Siyuan WuDivision of Natural and Applied Science, Duke Kunshan University, Kunshan, Jiangsu, China.
Xinyue LiuDivision of Natural and Applied Science, Duke Kunshan University, Kunshan, Jiangsu, China.
Shixin XuDivision of Natural and Applied Science, Duke Kunshan University, Kunshan, Jiangsu, China.
Sajid UmarDivision of Natural and Applied Science, Duke Kunshan University, Kunshan, Jiangsu, China.
Benjamin D AndersonDivision of Natural and Applied Science, Duke Kunshan University, Kunshan, Jiangsu, China. ander88@ufl.edu.
Duke Kunshan University · CNJohns Hopkins University · USUniversity of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of antibacterial resistance (ABR) is an urgent and complex public health challenge worldwide. Antibiotic resistant genes (ARGs) are considered as a new pollutant by the WHO because of their wide distribution and emerging prevalence. The role of environmental factors in developing ARGs in bacterial populations is still poorly understood. Therefore, the relationship between environmental factors and bacteria should be explored to combat ABR and propose more tailored solutions in a specific region. Here, we collected and analyzed surface water samples from Yangtze Delta, China during 2021, and assessed the nonlinear association of environmental factors with ARGs through a sigmoid model. A high abundance of ARGs was detected. Amoxicillin, phosphorus (P), chromium (Cr), manganese (Mn), calcium (Ca), and strontium (Sr) were found to be strongly associated with ARGs and identified as potential key contributors to ARG detection. Our findings suggest that the suppression of ARGs may be achieved by decreasing the concentration of phosphorus in surface water. Additionally, Group 2A light metals (e.g., magnesium and calcium) may be candidates for the development of eco-friendly reagents for controlling antibiotic resistance in the future.

Indexed as

Anti-Bacterial AgentsGenes, BacterialBacteriaCalciumChinaDrug Resistance, MicrobialPhosphorusRiversWaterAnti-Bacterial AgentsCalciumPhosphorusWater

Identifiers

PMID37989759
PMCPMC10663556
OpenAlexW4388856407

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.