Evidence map›Paper›PMID 41900318›Full record

ArticleMicroorganisms2026

Divergent Microbial Community and Pathogenicity at a University-Urban Interface: A Comparative Analysis.

Xinyu Liu, Nan Xiao, Jianghao Yu, Xueyun Geng, Mengge Zhang, Youming Zhang, Hai Xu, Changliang Nie, Mingyu Wang, Ling Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microorganisms, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xinyu LiuState Key Laboratory of Microbial Technology, Microbial Technology Institute, Shandong University, Qingdao 266237, China.
Nan XiaoState Key Laboratory of Microbial Technology, Microbial Technology Institute, Shandong University, Qingdao 266237, China.
Jianghao YuState 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.
Mengge ZhangState 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.
Changliang NieSchool of Environment and Geography, Qingdao University, Qingdao 266071, China.
Mingyu WangState Key Laboratory of Microbial Technology, Microbial Technology Institute, Shandong University, Qingdao 266237, China.ORCID 0000-0003-1215-9556
Ling LiState Key Laboratory of Microbial Technology, Microbial Technology Institute, Shandong University, Qingdao 266237, China.ORCID 0000-0002-8390-8975

Funding

National Key Research and Development Program of China grant number 2022YFE0199800Opening Project of Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP) grant number FDLAP24008Qingdao Natural Science Foundation grant number 24-4-4-zrjj-40-jchQingdao Science and Technology Wellness Promotion Demonstration Program grant number 24-1-8-smjk-13-nshShandong Provincial Natural Science Foundation grant numbers ZR2024QD228 and ZR2024QC311SKLMT Frontiers and Challenges Project grant number SKLMTFCP-2023-01the National Natural Science Foundation of China grant number 82271658
6 · The paper itself

Abstract

Environmental metagenomics and microbial taxonomy provide essential frameworks to evaluate how population structures shape the evolution of antimicrobial resistance and microbial community dynamics within densely populated environments. To evaluate microbial community composition and pathogenic potential, high-touch surfaces at high-traffic sites on and off campus were analyzed using metagenomics and characterization of 188 bacterial isolates, including antibiotic susceptibility testing, hemolytic assays, and whole-genome sequencing. Off-campus sites showed significantly higher bacterial richness and more complex communities enriched with diverse potential pathogens. Notably, high-risk carbapenemase genes were predominantly identified in these off-campus urban environments. In contrast, on-campus environments harbored less diverse communities dominated by opportunistic, antibiotic-resistant

Indexed as

antimicrobial resistanceenvironmental metagenomicshemolytic activitymethicillin-resistant staphylococciuniversity–urban interface

Identifiers

PMID41900318
PMCPMC13029079

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.