ArticleiMetaOmics2024
Culture dependent and independent approaches reveal the role of specific bacteria in human skin aging.
Article in iMetaOmics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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Who cites it
5 citing papers in PubMed.
- Skin aging: mechanisms, evaluation, and rejuvenation.The EMBO journal · 2026Review
- Multi-omics characterization of the skin microbiota reveals the anti-aging roles of Stenotrophomonas maltophilia.Microbiome · 2026Article
- Bacterial porphyrins in healthy skin: Microbiota components impact melanogenesis and age-related processes leading to Porphyr'ageing.International journal of cosmetic science · 2026Article
- Spatiotemporal decoding of skin biology: development, aging, disease, and regeneration.Burns & trauma · 2026Article
- A comprehensive reference catalog of human skin DNA virome reveals novel viral diversity and microenvironmental influences.Microbiology spectrum · 2025Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Skin aging is a dynamic process involving a spectrum of phenotypic changes, making it an attractive model for studying microbiome-phenotype interactions. Therefore, 822 facial microbial samples and 14 skin phenotypes from corresponding areas were assessed in a Chinese cohort. Porphyrins and the chronological age exhibited the most significant microbial variability. We further profiled the dynamics of the skin microbiome associated with age and aging phenotypes. Using a multiple linear regression model, we predicted premature/delayed aging-related microbial species, mainly
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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.