肠道菌群与痤疮之间的因果关系:两样本孟德尔随机化
The Causal Relationship between Gut Microbiota and Acne: A Two-Sample Mendelian Randomization Study
DOI: 10.12677/ACM.2023.1361468, PDF,   
作者: 顾昀帆*:湖北中医药大学第一临床学院,湖北 武汉;叶星兰:湖北中医药大学中医临床学院,湖北 武汉
关键词: 孟德尔随机化肠道菌群痤疮因果关系Mendelian Randomization Gut Microbiota Acne Causal Relationship
摘要: 背景:越来越多的研究表明肠道菌群与痤疮之间存在一定联系。但由于混杂因素的影响,肠道菌群与痤疮之间是否存在因果关系还未可知。肠道菌群可能通过肠道–皮肤轴增加感染痤疮的风险。方法:我们采用两样本孟德尔随机化(MR)研究来探讨肠道菌群与痤疮之间的关系,使用已发表的全基因组关联研究中的遗传变异作为工具变量。采用逆方差加权法(IVW)、MR Egger回归、加权中位数法和最大似然值法评估两者间因果关系,并进行多重敏感性分析以确保结果的准确。结果:我们确定了Bacteroidaceae与痤疮的因果关系[优势比(OR):2.25; 95%置信区间(CI):1.48~3.42;Pivw = 0.0001;错误发现率(FDR) = 0.05],Bacteroides (OR, 2.25; 95% CI: 1.48~3.42; Pivw = 0.0001; FDR = 0.01),Allisonella (OR: 1.42; 95% CI: 1.18~1.70; Pivw = 0.0002; FDR = 0.01)。敏感性分析验证了这些因果关系的可靠性。结论:这是第一个确定肠道菌群和痤疮之间因果关系的MR研究。我们的研究揭示了一些肠道菌群是痤疮的危险因素,为痤疮的潜在治疗靶点提供了新的信息,但痤疮与肠道菌群因果关系的内在机制还有待深入研究。
Abstract: Background: Acne is linked to the gut microbiota according to several studies. The association be-tween gut microbiota and acne has yielded conflicting results due to confounding factors, and the causal relationship between them remains undetermined. Intestinal flora may increase the risk of acne infection through the gut-skin axis. Methods: We used a two-sample Mendelian randomization (MR) study to explore the relationship between gut flora and acne, using genetic variation from published genome-wide association studies as an instrumental variable. Inverse variance weighted (IVW), weighted median, MR Egger, and maximum likelihood methods were applied to access caus-al relationships. Several sensitivity analyses were also performed to ensure the accuracy of the re-sults. Results: We found causal associations of Bacteroidaceae [odds ratio (OR), 2.25; 95% confi-dence interval (CI), 1.48~3.42; Pivw = 0.0001; false discovery rate (FDR) = 0.05], Allisonella (OR, 1.42; 95% CI, 1.18~1.70; Pivw = 0.0002; FDR = 0.01), and Bacteroides (OR, 2.25; 95% CI, 1.48~3.42; Pivw = 0.0001; FDR = 0.01) with acne. These results are corrected for false discovery rate. Sensitivity anal-yses validated the associations’ robustness, and reverse MR confirmed that the results were not in-fluenced by the reverse effect. Conclusion: This is the first MR study to determine a causal relation-ship between intestinal flora and acne. Our study revealed some gut microbiotas are risk factors for acne, providing new information on the potential therapeutic targets for acne. The possible connec-tion of the gut skin axis was again confirmed. Further research is needed on the mechanisms behind these relationships.
文章引用:顾昀帆, 叶星兰. 肠道菌群与痤疮之间的因果关系:两样本孟德尔随机化[J]. 临床医学进展, 2023, 13(6): 10487-10495. https://doi.org/10.12677/ACM.2023.1361468

参考文献

[1] Yi, R. and Fuchs, E. (2010) MicroRNA-Mediated Control in the Skin. Cell Death & Differentiation, 17, 229-235. [Google Scholar] [CrossRef] [PubMed]
[2] Nicholson, J.K., Holmes, E., Kinross, J., Burcelin, R., Gibson, G., Jia, W. and Pettersson, S. (2012) Host-Gut Microbiota Metabolic Interactions. Science, 336, 1262-1267. [Google Scholar] [CrossRef] [PubMed]
[3] Kunz, M., Simon, J.C. and Saalbach, A. (2019) Psoriasis: Obesity and Fatty Acids. Frontiers in Immunology, 10, Article No. 1807. [Google Scholar] [CrossRef] [PubMed]
[4] Burton, J.L. (1989) Dietary Fatty Acids and Inflammatory Skin Disease. The Lancet (London, England), 1, 27-31. [Google Scholar] [CrossRef
[5] Papadimitriou, N., Dimou, N., Tsilidis, K.K., et al. (2020) Physical Activity and Risks of Breast and Colorectal Cancer: A Mendelian Randomisation Analysis. Nature Communi-cations, 11, Article No. 597. [Google Scholar] [CrossRef] [PubMed]
[6] Scher, J.U., Ubeda, C., Artacho, A., et al. (2015) Decreased Bacterial Diversity Characterizes the Altered Gut Microbiota in Patients with Psoriatic Arthritis, Resembling Dysbiosis in Inflammatory Bowel Disease. Arthritis & Rheumatology (Hoboken NJ), 67, 128-139. [Google Scholar] [CrossRef] [PubMed]
[7] Song, H., Yoo, Y., Hwang, J., Na, Y.C. and Kim, H.S. (2016) Faecalibac-terium prausnitzii Subspecies-Level Dysbiosis in the Human Gut Microbiome Underlying Atopic Dermatitis. Journal of Allergy and Clinical Immunology, 137, 852-860. [Google Scholar] [CrossRef] [PubMed]
[8] Merana, G.R., Dwyer, L.R., Dhariwala, M.O., et al. (2022) Intestinal Inflammation Alters the Antigen-Specific Immune Response to a Skin Commensal. Cell Reports, 39, Article ID: 110891. [Google Scholar] [CrossRef] [PubMed]
[9] Macpherson, A.J., Slack, E., Geuking, M.B. and McCoy, K.D. (2009) The Mucosal Firewalls against Commensal Intestinal Microbes. Seminars in Immunopathology, 31, 145-149. [Google Scholar] [CrossRef] [PubMed]
[10] Ramírez-Boscá, A., Navarro-López, V., Martínez-Andrés, A., et al. (2015) Identification of Bacterial DNA in the Peripheral Blood of Patients with Active Psoriasis. JAMA Dermatology, 151, 670-671. [Google Scholar] [CrossRef] [PubMed]
[11] Jeong, J.H., Lee, C.Y. and Chung, D.K. (2016) Probiotic Lactic Acid Bacteria and Skin Health. Critical Reviews in Food Science and Nutrition, 56, 2331-2337. [Google Scholar] [CrossRef] [PubMed]
[12] Baldwin, H. and Tan, J. (2021) Effects of Diet on Acne and Its Response to Treatment. American Journal of Clinical Dermatology, 22, 55-65. [Google Scholar] [CrossRef] [PubMed]
[13] Groeger, D., O’Mahony, L., Murphy, E.F., Bourke, J.F., Dinan, T.G., Kiely, B., Shanahan, F. and Quigley, E.M. (2013) Bifidobacterium Infantis 35624 Modulates Host Inflammatory Processes beyond the Gut. Gut Microbes, 4, 325-339. [Google Scholar] [CrossRef] [PubMed]
[14] Lee, J., Seto, D. and Bielory, L. (2008) Meta-Analysis of Clinical Trials of Probiotics for Prevention and Treatment of Pediatric Atopic Dermatitis. Journal of Allergy and Clinical Immunology, 121, 116-121.e11. [Google Scholar] [CrossRef] [PubMed]
[15] Taylor, A.L., Dunstan, J.A. and Prescott, S.L. (2007) Probiotic Supplementation for the First 6 Months of Life Fails to Reduce the Risk of Atopic Dermatitis and Increases the Risk of Allergen Sensitization in High-Risk Children: A Randomized Controlled Trial. Journal of Allergy and Clinical Immu-nology, 119, 184-191. [Google Scholar] [CrossRef] [PubMed]
[16] Hidalgo-Cantabrana, C., Gómez, J., Delgado, S., Requena-López, S., Queiro-Silva, R., Margolles, A., Coto, E., Sánchez, B. and Coto-Segura, P. (2019) Gut Microbiota Dysbiosis in a Cohort of Patients with Psoriasis. British Journal of Dermatology, 181, 1287-1295. [Google Scholar] [CrossRef] [PubMed]
[17] Somboonna, N., Wilantho, A., Srisuttiyakorn, C., Assawamakin, A. and Tongsima, S. (2017) Bacterial Communities on Facial Skin of Teenage and Elderly Thai Females. Archives of Microbi-ology, 199, 1035-1042. [Google Scholar] [CrossRef] [PubMed]
[18] Dreno, B., Martin, R., Moyal, D., Henley, J.B., Khammari, A. and Seité, S. (2017) Skin Microbiome and Acne Vulgaris: Staphylococcus, a New Actor in Acne. Experimental Der-matology, 26, 798-803. [Google Scholar] [CrossRef] [PubMed]
[19] Deng, Y., Wang, H., Zhou, J., Mou, Y., Wang, G. and Xiong, X. (2018) Patients with Acne Vulgaris Have a Distinct Gut Microbiota in Comparison with Healthy Con-trols. Acta Dermato-Venereologica, 98, 783-790. [Google Scholar] [CrossRef] [PubMed]
[20] Vujkovic-Cvijin, I., Sklar, J., Jiang, L., Natarajan, L., Knight, R. and Belkaid, Y. (2020) Host Variables Confound Gut Microbiota Studies of Human Disease. Nature, 587, 448-454. [Google Scholar] [CrossRef] [PubMed]
[21] Walter, J., Armet, A.M., Finlay, B.B. and Shanahan, F. (2020) Establishing or Exaggerating Causality for the Gut Microbiome: Lessons from Human Microbiota-Associated Rodents. Cell, 180, 221-232. [Google Scholar] [CrossRef] [PubMed]
[22] Lawlor, D.A., Harbord, R.M., Sterne, J.A., Timpson, N. and Davey, S.G. (2008) Mendelian Randomization: Using Genes as Instruments for Making Causal Inferences in Epidemi-ology. Statistics in Medicine, 27, 1133-1163. [Google Scholar] [CrossRef] [PubMed]
[23] Smith, G.D. and Ebrahim, S. (2003) “Mendelian Randomization”: Can Ge-netic Epidemiology Contribute to Understanding Environmental Determinants of Disease? International Journal of Epi-demiology, 32, 1-22. [Google Scholar] [CrossRef] [PubMed]
[24] Kurilshikov, A., Medina-Gomez, C., Bacigalupe, R., et al. (2021) Large-Scale Association Analyses Identify Host Factors Influencing Human Gut Microbiome Composition. Nature Genetics, 53, 156-165.
[25] Kurki, M.I., Karjalainen, J., Palta, P., et al. (2022) FinnGen: Unique Genetic Insights from Combining Isolated Population and National Health Register Data.
[26] Benjamini, Y. and Hochberg, Y. (1995) Con-trolling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statisti-cal Society, Series B (Methodology), 57, 289-300. [Google Scholar] [CrossRef
[27] Brion, M.J., Shakhbazov, K. and Visscher, P.M. (2013) Calculating Statistical Power in Mendelian Randomization Studies. International Journal of Epidemiology, 42, 1497-1501. [Google Scholar] [CrossRef] [PubMed]
[28] Burgess, S., Butterworth, A. and Thompson, S.G. (2013) Mendelian Randomization Analysis with Multiple Genetic Variants Using Summarized Data. Genetic Epidemiology, 37, 658-665. [Google Scholar] [CrossRef] [PubMed]
[29] Burgess, S. and Thompson, S.G. (2017) Interpreting Findings from Mendelian Randomization Using the MR-Egger Method. European Journal of Epidemiology, 32, 377-389. [Google Scholar] [CrossRef] [PubMed]
[30] Bowden, J., Davey, S.G., Haycock, P.C. and Burgess, S. (2016) Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator. Genetic Epidemiology, 40, 304-314. [Google Scholar] [CrossRef] [PubMed]
[31] Milligan, B.G. (2003) Maximum-Likelihood Estimation of Relatedness. Genetics, 163, 1153-1167. [Google Scholar] [CrossRef] [PubMed]
[32] Hemani, G., Bowden, J. and Davey, S.G. (2018) Evaluating the Potential Role of Pleiotropy in Mendelian Randomization Studies. Human Molecular Genetics, 27, R195-R208. [Google Scholar] [CrossRef] [PubMed]
[33] Bowden, J., Davey, S.G. and Burgess, S. (2015) Mendelian Randomi-zation with Invalid Instruments: Effect Estimation and Bias Detection through Egger Regression. International Journal of Epidemiology, 44, 512-525. [Google Scholar] [CrossRef] [PubMed]
[34] Verbanck, M., Chen, C.Y., Neale, B. and Do, R. (2018) Detection of Widespread Horizontal Pleiotropy in Causal Relationships Inferred from Mendelian Randomization between Complex Traits and Diseases. Nature Genetics, 50, 693-698. [Google Scholar] [CrossRef] [PubMed]
[35] Yan, H.M., Zhao, H.J., Guo, D.Y., Zhu, P.Q., Zhang, C.L. and Jiang, W. (2018) Gut Microbiota Alterations in Moderate to Severe Acne Vulgaris Patients. The Journal of Dermatolo-gy, 45, 1166-1171. [Google Scholar] [CrossRef] [PubMed]
[36] Huang, Y., Liu, L., Hao, Z., Chen, L., Yang, Q., Xiong, X. and Deng, Y. (2022) Potential Roles of Gut Microbial Tryptophan Metabolites in the Complex Pathogenesis of Acne Vul-garis. Frontiers in Microbiology, 13, Article ID: 942027.
[37] Hevia, A., Milani, C., López, P., et al. (2014) Intestinal Dysbiosis Associated with Systemic Lupus Erythematosus. mBio, 5, e01548-14. [Google Scholar] [CrossRef
[38] Martinez-Medina, M., Denizot, J., Dreux, N., Robin, F., Billard, E., Bonnet, R., Darfeuille-Michaud, A. and Barnich, N. (2014) Western Diet Induces Dysbiosis with Increased E. coli in CEABAC10 Mice, Alters Host Barrier Function Favouring AIEC Colonisation. Gut, 63, 116-124. [Google Scholar] [CrossRef] [PubMed]
[39] Cani, P.D., Bibiloni, R., Knauf, C., Waget, A., Neyrinck, A.M., Delzenne, N.M. and Burcelin, R. (2008) Changes in Gut Microbiota Control Metabolic Endotoxemia-Induced Inflam-mation in High-Fat Diet-Induced Obesity and Diabetes in Mice. Diabetes, 57, 1470-1481. [Google Scholar] [CrossRef] [PubMed]
[40] Thatikonda, S., Pooladanda, V., Sigalapalli, D.K. and Godugu, C. (2020) Piperlongumine Regulates Epigenetic Modulation and Alleviates Psoriasis-Like Skin Inflammation via Inhibition of Hyperproliferation and Inflammation. Cell Death & Disease, 11, Article No. 21. [Google Scholar] [CrossRef] [PubMed]
[41] Sonnenburg, J.L. and Bäckhed, F. (2016) Diet-Microbiota Inter-actions as Moderators of Human Metabolism. Nature, 535, 56-64. [Google Scholar] [CrossRef] [PubMed]
[42] Dapa, T., Ramiro, R.S., Pedro, M.F., Gordo, I. and Xavier, K.B. (2022) Diet Leaves a Genetic Signature in a Keystone Mem-ber of the Gut Microbiota. Cell Host & Microbe, 30, 183-199.e10. [Google Scholar] [CrossRef] [PubMed]
[43] Kreuzer, M. and Hardt, W.-D. (2020) How Food Affects Colo-nization Resistance against Enteropathogenic Bacteria. Annual Review of Microbiology, 74, 787-813. [Google Scholar] [CrossRef] [PubMed]
[44] Archambaud, C., Derré-Bobillot, A., Lapaque, N., Rigottier-Gois, L. and Serror, P. (2019) Intestinal Translocation of Enterococci Requires a Threshold Level of Entero-coccal Overgrowth in the Lumen. Scientific Reports, 9, Article No. 8926. [Google Scholar] [CrossRef] [PubMed]
[45] Gil-Cruz, C., Perez-Shibayama, C., De Martin, A., et al. (2019) Microbiota-Derived Peptide Mimics Drive Lethal Inflammatory Cardiomyopathy. Science, 366, 881-886. [Google Scholar] [CrossRef] [PubMed]
[46] Lobo, L.A., Jenkins, A.L., Jeffrey, S.C. and Rocha, E.R. (2013) Ex-pression of Bacteroides fragilis Hemolysins in Vivo and Role of HlyBA in an Intra-Abdominal Infection Model. Micro-biology Open, 2, 326-337. [Google Scholar] [CrossRef] [PubMed]
[47] Singh, D.P., Singh, J., Boparai, R.K., et al. (2017) Isomal-to-Oligosaccharides, a Prebiotic, Functionally Augment Green Tea Effects against High Fat Diet-Induced Metabolic Al-terations via Preventing Gut Dysbacteriosis in Mice. Pharmacological Research, 123, 103-113. [Google Scholar] [CrossRef] [PubMed]
[48] Aranaz, P., Ramos-Lopez, O., Cuevas-Sierra, A., Martinez, J.A., Milagro, F.I. and Riezu-Boj, J.I. (2021) A Predictive Regression Model of the Obesity-Related Inflammatory Status Based on Gut Microbiota Composition. International Journal of Obesity, 45, 2261-2268. [Google Scholar] [CrossRef] [PubMed]