ArticleMicrobiology spectrum2026
Microbial landscape: composition and health associations of environmental microbiome in key functional spaces of premium elderly care facilities.
Article in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed.
- Urbanization-Associated Microbial Diversity Loss and Its Impact on Elderly Health: Integrating Environmental and Host Microbiome Dynamics.Environmental microbiology · 2026Article
- Multidimensional Profiles of Microbial Contamination and Hygiene Risk Across Functional Areas in Family Hotels.Life (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The environmental microbiome in elderly care facilities plays a crucial role in the health of aging populations with immunosenescence; however, its composition and health associations remain underexplored. This study characterizes the microbial ecology of premium elderly care facilities, focusing on key functional spaces, environmental drivers, and implications for resident health. We conducted 16S rRNA gene sequencing (V3-V4 regions) on 320 surface and air samples from six functional spaces (dining areas, medical facilities, bedrooms, bathrooms, recreational rooms, and corridors) across four premium elderly care facilities. Environmental parameters (temperature, humidity, CO₂, and occupancy) were measured concurrently. Bioinformatics analysis (QIIME 2, DADA2, and Silva database) and statistical modeling (permutational multivariate analysis of variance, distance-based redundancy analysis, and PICRUSt2) were employed to assess microbial diversity, taxonomic composition, functional potential, and environmental correlations. Using 16S rRNA gene sequencing across four facilities in different geographic regions, we identified significant spatial heterogeneity in microbial diversity and composition, with dining areas and recreational rooms exhibiting higher richness (Shannon index: 6.07 ± 0.37) and human-associated taxa (e.g., Firmicutes), while medical facilities and bathrooms harbored lower diversity but elevated opportunistic pathogens (
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Registered trials
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.