Evidence map›Paper›PMID 38424726›Full record

ArticleSkin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)2024

Genetic insights into the gut microbiota and risk of facial skin aging: A Mendelian randomization study.

Mulan Chen, Yuhui Che, Mengsong Liu, Xinyu Xiao, Lin Zhong, Siqi Zhao, Xueer Zhang, Anjing Chen, Jing Guo

Open access · hybridAbstract read
In one paragraph

Article in Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Antibody immune responses and causal relationships in four immune skin diseases: Evidence from Mendelian randomization and Bayesian Weighting (Antibody Responses in Skin Diseases: MR & Bayesian).Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
  3. The gut-facial aging axis: A two-sample Mendelian randomization and mediation analysis of gut microbiota, gut microbiota metabolic pathways, and blood metabolites.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
  4. Gut microbiota, skin microbiota, and alopecia areata: A Mendelian randomization study.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
  5. Causal relationship between dyslipidemia and risk of facial aging: Insights from Mendelian randomization in East Asian populations.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
  6. Genetic insights into the gut microbiota and risk of facial skin aging: A Mendelian randomization study.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
  7. Article
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 at 1 institution in 1 country.

Mulan ChenChengdu University of Traditional Chinese Medicine, Chengdu, China.ORCID https://orcid.org/0000-0001-7854-0910
Yuhui CheChengdu University of Traditional Chinese Medicine, Chengdu, China.
Mengsong LiuChengdu University of Traditional Chinese Medicine, Chengdu, China.
Xinyu XiaoChengdu University of Traditional Chinese Medicine, Chengdu, China.
Lin ZhongChengdu University of Traditional Chinese Medicine, Chengdu, China.
Siqi ZhaoChengdu University of Traditional Chinese Medicine, Chengdu, China.
Xueer ZhangChengdu University of Traditional Chinese Medicine, Chengdu, China.
Anjing ChenChengdu University of Traditional Chinese Medicine, Chengdu, China.
Jing GuoHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Chengdu University of Traditional Chinese Medicine · CN

Funding

Chengdu University of Traditional Chinese Medicine 2023-42Chengdu University of Traditional Chinese Medicine 22-B09Chengdu University of Traditional Chinese Medicine QJJJ2021001National Natural Science Foundation of China 82074443Sichuan Provincial Administration of Traditional Chinese Medicine 22CP1423State Administration of Traditional Chinese Medicine "Young Qihuang Scholars" 2022-256
6 · The paper itself

Abstract

backgroundA growing number of experimental studies have shown an association between the gut microbiota (GM) and facial skin aging. However, the causal relationship between GM and facial skin aging remains unclear to date.

methodsWe conducted a two-sample Mendelian randomization (MR) analysis to investigate the potential causal relationship between GM and facial skin aging. MR analysis was mainly performed using the inverse-variance weighting (IVW) method, complemented by the weighted median (MW) method, MR-Egger regression, and weighted mode, and sensitivity analysis was used to test the reliability of MR analysis results.

resultsEleven GM taxa associated with facial skin aging were identified by IVW method analysis, Family Victivallaceae (p = 0.010), Genus Eubacterium coprostanoligenes group (p = 0.038), and Genus Parasutterella (p = 0.011) were negatively associated with facial skin aging, while Phylum Verrucomicrobia (p = 0.034), Family Lactobacillaceae (p = 0.017) and its subgroups Genus Lactobacillus (p = 0.038), Genus Parabacteroides (p = 0.040), Genus Eggerthella (p = 0.049), Genus Family XIII UCG001 (p = 0.036), Genus Phascolarctobacterium (p = 0.027), and Genus Ruminococcaceae UCG005 (p = 0.012) were positively associated with facial skin aging. At Class and Order levels, we did not find a causal relationship between GM and facial skin aging. Results of sensitivity analyses did not show evidence of pleiotropy and heterogeneity.

conclusionOur findings confirm the causal relationship between GM and facial skin aging, providing a new perspective on delaying facial aging.

Indexed as

Gastrointestinal MicrobiomeSkin AgingAgingHumansMendelian Randomization AnalysisReproducibility of Resultscausalityfacial skin aginggut microbiotagut-skin axisMendelian randomization

Identifiers

PMID38424726
PMCPMC10904881
OpenAlexW4392364986

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.