Evidence map›Paper›PMID 39232827›Full record

ArticleMicrobiome2024

Integrated analysis of facial microbiome and skin physio-optical properties unveils cutotype-dependent aging effects.

Chuqing Sun, Guoru Hu, Liwen Yi, Wei Ge, Qingyu Yang, Xiangliang Yang, Yifan He, Zhi Liu, Wei-Hua Chen

Abstract readMulticenter Study
In one paragraph

Article in Microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  8. Biomarkers of ageing of humans and non-human primates.Nature reviews. Molecular cell biology · 2025
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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

9 authors.

Chuqing Sun *Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center for Artificial Intelligence Biology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Guoru Hu *Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center for Artificial Intelligence Biology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Liwen YiDepartment of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Wei GeDepartment of Dermatology, Huazhong University of Science and Technology Hospital, Wuhan, 430074, China.
Qingyu YangDepartment of Dermatology, Huazhong University of Science and Technology Hospital, Wuhan, 430074, China.
Xiangliang YangDepartment of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Yifan HeThe GBA National Institute for Nanotechnology Innovation, Guangzhou, 510799, China. heyifan@btbu.edu.cn.
Zhi LiuDepartment of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China. zhiliu@hust.edu.cn.
Wei-Hua ChenDepartment of Bioinformatics and Systems Biology, College of Life Science and Technology, Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular Imaging, Center for Artificial Intelligence Biology, Huazhong University of Science and Technology, Wuhan, 430074, China. weihuachen@hust.edu.cn.

Funding

National Key Research and Development Program of China 2019YFA0905600
6 · The paper itself

Abstract

backgroundOur facial skin hosts millions of microorganisms, primarily bacteria, crucial for skin health by maintaining the physical barrier, modulating immune response, and metabolizing bioactive materials. Aging significantly influences the composition and function of the facial microbiome, impacting skin immunity, hydration, and inflammation, highlighting potential avenues for interventions targeting aging-related facial microbes amidst changes in skin physiological properties.

resultsWe conducted a multi-center and deep sequencing survey to investigate the intricate interplay of aging, skin physio-optical conditions, and facial microbiome. Leveraging a newly-generated dataset of 2737 species-level metagenome-assembled genomes (MAGs), our integrative analysis highlighted aging as the primary driver, influencing both facial microbiome composition and key skin characteristics, including moisture, sebum production, gloss, pH, elasticity, and sensitivity. Further mediation analysis revealed that skin characteristics significantly impacted the microbiome, mostly as a mediator of aging. Utilizing this dataset, we uncovered two consistent cutotypes across sampling cities and identified aging-related microbial MAGs. Additionally, a Facial Aging Index (FAI) was formulated based on the microbiome, uncovering the cutotype-dependent effects of unhealthy lifestyles on skin aging. Finally, we distinguished aging related microbial pathways influenced by lifestyles with cutotype-dependent effect.

conclusionsTogether, our findings emphasize aging's central role in facial microbiome dynamics, and support personalized skin microbiome interventions by targeting lifestyle, skin properties, and aging-related microbial factors. Video Abstract.

Indexed as

BacteriaFaceMicrobiotaSkinSkin AgingAdultAgedAgingFemaleHigh-Throughput Nucleotide SequencingHumansMaleMetagenomeMiddle AgedSebumYoung AdultAgingCutotypeFacial microbiomeLifestyleMetagenome-assembled genomes

Identifiers

PMID39232827
PMCPMC11376020

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.