Genetic Insights into the Gut Microbiota and Risk of Facial Skin Aging: A Mendelian Randomization Study

Overview

Journal Skin Res Technol

Specialty Biomedical Engineering

Date 2024 Mar 1

PMID 38424726

Authors

Mulan Chen

Yuhui Che

Mengsong Liu

Xinyu Xiao

Lin Zhong

Siqi Zhao

Xueer Zhang

Anjing Chen

Jing Guo

Affiliations

Soon will be listed here.

Abstract

Background: A 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.

Methods: We 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.

Results: Eleven 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.

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

Citing Articles

Investigating the causal relationship between gut microbiota and gastroenteropancreatic neuroendocrine neoplasms: a bidirectional Mendelian randomization study.

Zhang C, Jiang S, Cao J, Xu Y, Wang X, Li R Front Microbiol. 2024; 15:1420167.

PMID: 39193433 PMC: 11347282. DOI: 10.3389/fmicb.2024.1420167.

The gut-facial aging axis: A two-sample Mendelian randomization and mediation analysis of gut microbiota, gut microbiota metabolic pathways, and blood metabolites.

Yang S, Zhao Y, Liu J, Song J, Long Q, Cheng S Skin Res Technol. 2024; 30(8):e70006.

PMID: 39167027 PMC: 11337914. DOI: 10.1111/srt.70006.

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).

Li X, Chen S, Wu Y, Qiu G, Cheng S, Lan H Skin Res Technol. 2024; 30(8):e13875.

PMID: 39120064 PMC: 11311118. DOI: 10.1111/srt.13875.

Gut microbiota, skin microbiota, and alopecia areata: A Mendelian randomization study.

Li Z, Zhao C, Chen R, Li M, Wang F, Hao C Skin Res Technol. 2024; 30(7):e13845.

PMID: 39031933 PMC: 11259542. DOI: 10.1111/srt.13845.

Causal relationship between dyslipidemia and risk of facial aging: Insights from Mendelian randomization in East Asian populations.

Deng Y, Li C, Luo A, Qiu Y, Yang M Skin Res Technol. 2024; 30(5):e13717.

PMID: 38716757 PMC: 11077566. DOI: 10.1111/srt.13717.

References

Ma J, Liu Z, Gao X, Bao Y, Hong Y, He X . Gut microbiota remodeling improves natural aging-related disorders through Akkermansia muciniphila and its derived acetic acid. Pharmacol Res. 2023; 189:106687. DOI: 10.1016/j.phrs.2023.106687. View

Bowden J, Davey Smith G, Haycock P, Burgess S . Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator. Genet Epidemiol. 2016; 40(4):304-14. PMC: 4849733. DOI: 10.1002/gepi.21965. View

Davies N, Holmes M, Davey Smith G . Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians. BMJ. 2018; 362:k601. PMC: 6041728. DOI: 10.1136/bmj.k601. View

Radjabzadeh D, Bosch J, Uitterlinden A, Zwinderman A, Ikram M, van Meurs J . Gut microbiome-wide association study of depressive symptoms. Nat Commun. 2022; 13(1):7128. PMC: 9726982. DOI: 10.1038/s41467-022-34502-3. View

Wang M, Fan J, Huang Z, Zhou D, Wang X . Causal Relationship between Gut Microbiota and Gout: A Two-Sample Mendelian Randomization Study. Nutrients. 2023; 15(19). PMC: 10574468. DOI: 10.3390/nu15194260. View

Yu H, Wan X, Yang M, Xie J, Xu K, Wang J . A large-scale causal analysis of gut microbiota and delirium: A Mendelian randomization study. J Affect Disord. 2023; 329:64-71. DOI: 10.1016/j.jad.2023.02.078. View

Popkes M, Valenzano D . Microbiota-host interactions shape ageing dynamics. Philos Trans R Soc Lond B Biol Sci. 2020; 375(1808):20190596. PMC: 7435156. DOI: 10.1098/rstb.2019.0596. View

Ju T, Kong J, Stothard P, Willing B . Defining the role of Parasutterella, a previously uncharacterized member of the core gut microbiota. ISME J. 2019; 13(6):1520-1534. PMC: 6776049. DOI: 10.1038/s41396-019-0364-5. View

Jo C, Myung C, Yoon Y, Ahn B, Min J, Seo W . The Effect of Extracellular Vesicles from Korean Women in Their 20s on Skin Aging. Curr Issues Mol Biol. 2022; 44(2):526-540. PMC: 8928950. DOI: 10.3390/cimb44020036. View

10.

Willing B, Dicksved J, Halfvarson J, Andersson A, Lucio M, Zheng Z . A pyrosequencing study in twins shows that gastrointestinal microbial profiles vary with inflammatory bowel disease phenotypes. Gastroenterology. 2010; 139(6):1844-1854.e1. DOI: 10.1053/j.gastro.2010.08.049. View

11.

Tong T, Guo J, Wu Y, Sharma D, Sangar M, Sangpreecha N . Dietary supplementation of ark clams protects gut health and modifies gut microbiota in d-galactose-induced aging rats. J Sci Food Agric. 2023; 104(2):675-685. DOI: 10.1002/jsfa.12958. View

12.

Chen G, Chen Z, Fan X, Jin Y, Li X, Wu S . Gut-Brain-Skin Axis in Psoriasis: A Review. Dermatol Ther (Heidelb). 2020; 11(1):25-38. PMC: 7859123. DOI: 10.1007/s13555-020-00466-9. View

13.

Chen M, Che Y, Liu M, Xiao X, Zhong L, Zhao S . Genetic insights into the gut microbiota and risk of facial skin aging: A Mendelian randomization study. Skin Res Technol. 2024; 30(3):e13636. PMC: 10904881. DOI: 10.1111/srt.13636. View

14.

Yan H, An W, Chen F, An B, Pan Y, Jin J . Intestinal microbiota changes in Graves' disease: a prospective clinical study. Biosci Rep. 2020; 40(9). PMC: 7475298. DOI: 10.1042/BSR20191242. View

15.

Heintz C, Mair W . You are what you host: microbiome modulation of the aging process. Cell. 2014; 156(3):408-11. PMC: 3956044. DOI: 10.1016/j.cell.2014.01.025. View

16.

Zhang X, Shi L, Sun T, Guo K, Geng S . Dysbiosis of gut microbiota and its correlation with dysregulation of cytokines in psoriasis patients. BMC Microbiol. 2021; 21(1):78. PMC: 7941898. DOI: 10.1186/s12866-021-02125-1. View

17.

Kurilshikov A, Medina-Gomez C, Bacigalupe R, Radjabzadeh D, Wang J, Demirkan A . Large-scale association analyses identify host factors influencing human gut microbiome composition. Nat Genet. 2021; 53(2):156-165. PMC: 8515199. DOI: 10.1038/s41588-020-00763-1. View

18.

Blaser M . The microbiome revolution. J Clin Invest. 2014; 124(10):4162-5. PMC: 4191014. DOI: 10.1172/JCI78366. View

19.

Burgess S, Thompson S . Interpreting findings from Mendelian randomization using the MR-Egger method. Eur J Epidemiol. 2017; 32(5):377-389. PMC: 5506233. DOI: 10.1007/s10654-017-0255-x. View

20.

Hayashi A, Mikami Y, Miyamoto K, Kamada N, Sato T, Mizuno S . Intestinal Dysbiosis and Biotin Deprivation Induce Alopecia through Overgrowth of Lactobacillus murinus in Mice. Cell Rep. 2017; 20(7):1513-1524. DOI: 10.1016/j.celrep.2017.07.057. View