Spatial distribution and co-detection of antimicrobial resistance genes and ESKAPEE pathogens in hospital sink environments

Background Hospital sink environments are potential reservoirs for antimicrobial resistance genes and opportunistic pathogens yet their spatial distribution and co-detection patterns remain incompletely characterized. Methods A total of 216 environmental swab samples were collected from six predefined locations (the bottom of the basin, the inner wall of the faucet, the faucet, and 0.5 m, 1.0 m, and 2.0 m from the basin) across four hospital wards (respiratory ward, ICU ward, burn ward, and infection ward). All samples were analyzed using multiplex nucleic acid mass spectrometry to simultaneously detect 23 targets, encompassing six major antibiotic resistance gene classes and extended ESKAPEE pathogen groups. Results Among 216 samples (54 per ward), bla TEM exhibited the highest detection rate (88.9–100%), followed by bla VIM (>75% at all locations). P. aeruginosa and Enterobacter were the most prevalent pathogens (detection rates: 35.2-74.1% and 40.7-74.1%, respectively). Several targets showed significant spatial enrichment after FDR adjustment, including bla SHV , KP-bla KPC , EA-bla KPC , bla NDM-5 , and mecA . After Benjamini-Hochberg FDR correction, no co-detection pair reached statistical significance; the strongest signals before correction were bla TEM -E. cloacae (50.5%) and bla SHV -P. aeruginosa (16.2%). ESBL genes showed significantly higher mean detection ratios at sink-proximal locations than at distal locations ( p < 0.001). Conclusions Antimicrobial resistance genes and ESKAPEE pathogens are widely distributed in hospital sink environments, with a sink-proximal enrichment and a spatial gradient across sampling locations. Although no co-detection pair remained significant after FDR correction, the strongest signals ( bla TEM – E. cloacae and bla SHV – P. aeruginosa ) may warrant further investigation in larger studies. These findings provide spatially resolved evidence for identifying high-risk loci (the inner wall of the faucet) to support targeted infection control interventions in high-acuity wards.

Authors

Institutions

Publication Details

Journal
Frontiers in Cellular and Infection Microbiology
Published
2026-11-05
DOI
https://doi.org/10.3389/fcimb.2026.1972429
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Spatial distribution and co-detection of antimicrobial resistance genes and ESKAPEE pathogens in hospital sink environments

Chengjun Zeng, Qianqian Le, LIU Yuhui, Keye Xu et al.
Frontiers in Cellular and Infection Microbiology
Antibiotic Resistance in Bacteria
article

Spatial distribution and co-detection of antimicrobial resistance genes and ESKAPEE pathogens in hospital sink environments

Chengjun Zeng, Qianqian Le, LIU Yuhui, Keye Xu, Yidan Shao
article en

Abstract

Background Hospital sink environments are potential reservoirs for antimicrobial resistance genes and opportunistic pathogens yet their spatial distribution and co-detection patterns remain incompletely characterized. Methods A total of 216 environmental swab samples were collected from six predefined locations (the bottom of the basin, the inner wall of the faucet, the faucet, and 0.5 m, 1.0 m, and 2.0 m from the basin) across four hospital wards (respiratory ward, ICU ward, burn ward, and infection ward). All samples were analyzed using multiplex nucleic acid mass spectrometry to simultaneously detect 23 targets, encompassing six major antibiotic resistance gene classes and extended ESKAPEE pathogen groups. Results Among 216 samples (54 per ward), bla TEM exhibited the highest detection rate (88.9–100%), followed by bla VIM (>75% at all locations). P. aeruginosa and Enterobacter were the most prevalent pathogens (detection rates: 35.2-74.1% and 40.7-74.1%, respectively). Several targets showed significant spatial enrichment after FDR adjustment, including bla SHV , KP-bla KPC , EA-bla KPC , bla NDM-5 , and mecA . After Benjamini-Hochberg FDR correction, no co-detection pair reached statistical significance; the strongest signals before correction were bla TEM -E. cloacae (50.5%) and bla SHV -P. aeruginosa (16.2%). ESBL genes showed significantly higher mean detection ratios at sink-proximal locations than at distal locations ( p < 0.001). Conclusions Antimicrobial resistance genes and ESKAPEE pathogens are widely distributed in hospital sink environments, with a sink-proximal enrichment and a spatial gradient across sampling locations. Although no co-detection pair remained significant after FDR correction, the strongest signals ( bla TEM – E. cloacae and bla SHV – P. aeruginosa ) may warrant further investigation in larger studies. These findings provide spatially resolved evidence for identifying high-risk loci (the inner wall of the faucet) to support targeted infection control interventions in high-acuity wards.

Frontiers in Cellular and Infection MicrobiologyVol. 16
Ningbo Center for Disease Control and Prevention (CN), Ningbo No. 2 Hospital (CN)
Openalex Percentile: Top 20%
Antibiotic Resistance in Bacteria
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon