Evidence map›Paper›PMID 40906148›Full record

ArticleBiology2025

Connectiveness of Antimicrobial Resistance Genotype-Genotype and Genotype-Phenotype in the "Intersection" of Skin and Gut Microbes.

Ruizhao Jia, Wenya Su, Wenjia Wang, Lulu Shi, Xinrou Zheng, Youming Zhang, Hai Xu, Xueyun Geng, Ling Li, Mingyu Wang and 1 more

Abstract read
In one paragraph

Article in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Phenotypic and genome-based characterization ofFrontiers in microbiology · 2026
    Article
  3. 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

11 authors.

Ruizhao JiaChangsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha 410007, China.
Wenya SuState Key Laboratory of Microbial Technology, Microbial Technology Institute, Shandong University, Qingdao 266237, China.
Wenjia WangState Key Laboratory of Microbial Technology, Microbial Technology Institute, Shandong University, Qingdao 266237, China.ORCID 0009-0004-0531-7346
Lulu ShiState Key Laboratory of Microbial Technology, Microbial Technology Institute, Shandong University, Qingdao 266237, China.
Xinrou ZhengState Key Laboratory of Microbial Technology, Microbial Technology Institute, Shandong University, Qingdao 266237, China.
Youming ZhangState Key Laboratory of Microbial Technology, Microbial Technology Institute, Shandong University, Qingdao 266237, China.
Hai XuState Key Laboratory of Microbial Technology, Microbial Technology Institute, Shandong University, Qingdao 266237, China.
Xueyun GengState Key Laboratory of Microbial Technology, Microbial Technology Institute, Shandong University, Qingdao 266237, China.
Ling LiState Key Laboratory of Microbial Technology, Microbial Technology Institute, Shandong University, Qingdao 266237, China.ORCID 0000-0002-8390-8975
Mingyu WangState Key Laboratory of Microbial Technology, Microbial Technology Institute, Shandong University, Qingdao 266237, China.ORCID 0000-0003-1215-9556
Xiang LiChangsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha 410007, China.

Funding

National Key Research and Development Program of China 2022YFE0199800National Natural Science Foundation of China 82271658Opening Project of Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP) FDLAP24008Qingdao Natural Science Foundation 24-4-4-zrjj-40-jchShandong Provincial Natural Science Foundation ZR2024QC311Shandong Provincial Natural Science Foundation ZR2024QD228SKLMT Frontiers and Challenges Project SKLMTFCP-2023-01
6 · The paper itself

Abstract

The perianal skin is a unique "skin-gut" boundary that serves as a critical hotspot for the exchange and evolution of antibiotic resistance genes (ARGs). However, its role in the dissemination of antimicrobial resistance (AMR) has often been underestimated. To characterize the resistance patterns in the perianal skin environment of patients with perianal diseases and to investigate the drivers of AMR in this niche, a total of 51 bacterial isolates were selected from a historical strain bank containing isolates originally collected from patients with perianal diseases. All the isolates originated from the skin site and were subjected to antimicrobial susceptibility testing, whole-genome sequencing, and co-occurrence network analysis. The analysis revealed a highly structured resistance pattern, dominated by two distinct modules: one representing a classic Staphylococcal resistance platform centered around

Indexed as

antibiotic resistanceantibiotic resistance phenotypeIncF plasmidperianal skinwhole genome sequencing

Identifiers

PMID40906148
PMCPMC12383831

What Socratic 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 Socratic graph.