Evidence map›Paper›PMID 41777539›Full record

ArticleFrontiers in microbiology2026

Restaurant occupational exposure affects the profiles of oral and gut pathobiomes and resistomes.

Mengyu Wang, Xueqin Li, Xiao Liu, Ying Ye, Peng Zhou, Yifan Liu, Liudan Zhu, Wei Wei, Zhenpeng Li, Zhe Li and 6 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 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

16 authors.

Mengyu WangSchool of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Xueqin LiSchool of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Xiao LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Ying YeInstitute of Infectious Disease Prevention and Control, Henan Center for Disease Control and Prevention, Zhengzhou, China.
Peng ZhouZhengzhou Center for Disease Control and Prevention, Zhengzhou, China.
Yifan LiuSchool of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Liudan ZhuZhengzhou Center for Disease Control and Prevention, Zhengzhou, China.
Wei WeiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhenpeng LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhe LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Ruiheng WuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yao PengNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Ziyu LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xin LuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jiayong ZhaoInstitute of Infectious Disease Prevention and Control, Henan Center for Disease Control and Prevention, Zhengzhou, China.
Biao KanSchool of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Restaurant occupational exposure refers to contact with food-processing environments, raw materials, and customers, which may influence the composition of the human microbiome. Differences and associations between human oral and gut pathobiome and their resistomes under restaurant occupational exposure remain unclear. We conducted a comprehensive metagenomic analysis of paired oral and fecal samples from Front-of-House (FOH) workers and Back-of-House (BOH) workers to elucidate the effects of occupational exposure in the restaurant environment on oral and gut pathobiome, antimicrobial resistance genes (ARGs), virulence factors (VFs), and mobile genetic elements (MGEs). Methods: We collected the oral and fecal samples from 35 FOH and 37 BOH workers across 24 Chinese restaurants in Zhengzhou, Henan, China. The diversity and relative abundances of microbial species, ARGs, VFs, and MGEs were compared. Clonal strains from paired oral and fecal samples were analyzed. The serovars of Results: The gut microbiome acts as the primary reservoir, exhibiting greater alpha diversity and a higher burden of pathogens/resistomes (including high-risk Rank_I genes). In contrast, the oral microbiome was more sensitive to occupational differences. Significant beta diversity variations in microbiomes, antimicrobial resistance genes (ARGs), and virulence factors were observed exclusively in oral samples. Notably, Discussion: While the gut serves as the primary reservoir for pathogens/resistomes, restaurant occupational exposure distinctly shapes oral microbial/resistome profiles, underscoring the critical need for reinforced hygiene management, particularly for BOH workers, to mitigate pathogen and resistance transmission.

Indexed as

gutoralpathogensplasmidsRank_I ARGsrestaurant occupational exposuresSalmonella

Identifiers

PMID41777539
PMCPMC12950533

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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.