Evidence map›Paper›PMID 41922879›Full record

ArticleInternational journal of legal medicine2026

Forensic analysis of environmental and skin microbiome differences in college dormitories based on 16 S rRNA.

Shujie Dou, Jie Shen, Can Wang, Guanju Ma, Guangping Fu, Lihong Fu, Bin Cong, Shujin Li

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

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Shujie Dou *Hebei Key Laboratory of Forensic Medicine, Hebei Collaborative Innovation Center of Forensic Medical Molecular Identification, College of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, China.
Jie Shen *Hebei Key Laboratory of Forensic Medicine, Hebei Collaborative Innovation Center of Forensic Medical Molecular Identification, College of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, China.
Can WangHebei Key Laboratory of Forensic Medicine, Hebei Collaborative Innovation Center of Forensic Medical Molecular Identification, College of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, China.
Guanju MaHebei Key Laboratory of Forensic Medicine, Hebei Collaborative Innovation Center of Forensic Medical Molecular Identification, College of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, China.
Guangping FuHebei Key Laboratory of Forensic Medicine, Hebei Collaborative Innovation Center of Forensic Medical Molecular Identification, College of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, China.
Lihong FuHebei Key Laboratory of Forensic Medicine, Hebei Collaborative Innovation Center of Forensic Medical Molecular Identification, College of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, China.
Bin CongHebei Key Laboratory of Forensic Medicine, Hebei Collaborative Innovation Center of Forensic Medical Molecular Identification, College of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, China.
Shujin LiHebei Key Laboratory of Forensic Medicine, Hebei Collaborative Innovation Center of Forensic Medical Molecular Identification, College of Forensic Medicine, Hebei Medical University, Shijiazhuang, 050017, China. shujinli@hebmu.edu.cn.ORCID http://orcid.org/0000-0001-8656-9000

Funding

HeBei Medical University Postdoctoral Fund 30705010060National Natural Science Foundation of China 82572154
6 · The paper itself

Abstract

Microbial traces shed by humans into the built environment offer a novel tool for forensic science, providing potential links between an individual and a specific location. With their standardized designs, university dormitories provide an ideal model to explore the microbial link between individuals and their living spaces. We employed 16 S rRNA gene sequencing to characterize 128 samples from six dormitories, aiming to determine if microbial communities could link individuals to their living spaces. Our analysis revealed that while phylum-level composition was broadly conserved, microbial communities diverged markedly at the genus level. Community composition was significantly shaped by occupant biological sex and room occupancy, with alpha-diversity decreasing as occupancy increased. SourceTracker analysis identified environmental surfaces as a primary reservoir for the residents’ skin microbiome, while the contribution of unknown sources escalated in more crowded rooms. Critically, random forest models demonstrated high predictive power, accurately classifying occupant biological sex (92.11% test accuracy), room occupancy (78.38%), and the specific dormitory of origin (83.33%). These findings underscore the spatial specificity of microbial signatures in shared living spaces, establishing a strong empirical basis for exploring their application in forensic science to link an individual to their recent environment.

Indexed as

Environmental MicrobiologyForensic MicrobiologyMicrobiotaRNA, Ribosomal, 16SSkin MicrobiomeAcademiaFemaleHumansMaleUniversitiesRNA, Ribosomal, 16SEnvironmental microbiotaForensic microbiologyGeographic traceabilitySkin microbiota

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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.