Unveiling the interplay among skin microbiota, cytokines, and T2DM: an insightful Mendelian randomization study.

IF 3.9 2区医学 Q2 NUTRITION & DIETETICS

Nutrition & Metabolism Pub Date : 2025-04-10 DOI:10.1186/s12986-025-00922-3

Zhe Zhang, Chunyu Jiang, Yi-Qi Xing, Tianke Yang, Linxuan Zou, Zhuqiang Jia, Lin Zhao, Xin Han, Xueling Qu, Zhen Zhang, Junwei Zong, Shouyu Wang

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引用次数: 0

Abstract

Background: Previous observational studies have indicated a correlation between the skin microbiome and Type 2 diabetes (T2DM). It is hypothesized that this causal relationship may be influenced by inflammatory responses. However, these factors as determinants of T2DM remain largely unexplored.

Method: This study incorporated data from the GWAS database on the skin microbiome, 91 types of inflammatory cytokines, and T2DM. We employed two-sample MR and multivariable MR methods to assess the correlation between the skin microbiome and T2DM, and to investigate whether this correlation is affected by inflammatory cytokines.

Results: The results of the two-sample MR analysis indicate that within the skin microbiome, genetically predicted genus: Acinetobacter, class: Alphaproteobacteria, genus: Bacteroides, ASV005[Propionibacterium granulosum], and ASV072[Rothia mucilaginosa] are associated with an increased risk of T2DM, while phylum: Proteobacteria, genus: Enhydrobacter, family: Clostridiales, ASV006[Staphylococcus hominis] serve as protective factors against T2DM. Among the inflammatory cytokines, levels of Macrophage colony-stimulating factor 1, Tumor necrosis factor receptor superfamily member 9, Urokinase-type plasminogen activator, and C-C motif chemokine 28 are associated with an increased risk of T2DM. Multivariable MR analysis further revealed that Macrophage colony-stimulating factor 1 levels act as a mediating factor between ASV072[Rothia mucilaginosa] and T2DM.

Conclusion: In this study, we found a connection between the skin microbiome and T2DM, with inflammatory cytokines playing a key role in this relationship. This research helps us better understand this complex link and shows that addressing inflammation is important for preventing and treating diabetes. This could greatly benefit public health by reducing the impact of diabetes and its complications. Our results suggest that future studies should explore the specific biological interactions between the skin microbiome and diabetes to develop more effective risk management and treatment strategies from a microbial perspective.

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揭示皮肤微生物群、细胞因子和2型糖尿病之间的相互作用：一项有见地的孟德尔随机研究。

背景：先前的观察性研究表明皮肤微生物组与2型糖尿病（T2DM）之间存在相关性。据推测，这种因果关系可能受到炎症反应的影响。然而，这些因素作为2型糖尿病的决定因素在很大程度上仍未被探索。方法：本研究纳入了GWAS数据库中关于皮肤微生物组、91种炎症细胞因子和T2DM的数据。我们采用双样本MR和多变量MR方法来评估皮肤微生物组与T2DM之间的相关性，并研究这种相关性是否受到炎症细胞因子的影响。结果：两样本MR分析结果表明，在皮肤微生物组中，遗传预测属：不动杆菌属，类：α变形杆菌，属：拟杆菌属，ASV005[颗粒丙酸杆菌]，ASV072[粘胶罗氏菌]与T2DM风险增加相关，而门：变形杆菌属：Enhydrobacter，科：Clostridiales， ASV006[人葡萄球菌]是T2DM的保护因子。在炎性细胞因子中，巨噬细胞集落刺激因子1、肿瘤坏死因子受体超家族成员9、尿激酶型纤溶酶原激活剂和C-C基序列趋化因子28的水平与T2DM的风险增加有关。多变量MR分析进一步揭示了巨噬细胞集落刺激因子1水平在ASV072[粘胶罗氏菌]与T2DM之间起中介作用。结论：在本研究中，我们发现皮肤微生物组与T2DM之间存在联系，炎症细胞因子在这一关系中发挥了关键作用。这项研究帮助我们更好地理解这种复杂的联系，并表明解决炎症对预防和治疗糖尿病很重要。这可以通过减少糖尿病及其并发症的影响而大大有利于公众健康。我们的研究结果表明，未来的研究应该探索皮肤微生物组与糖尿病之间的特定生物学相互作用，从微生物的角度制定更有效的风险管理和治疗策略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nutrition & Metabolism 医学-营养学

CiteScore

8.40

自引率

0.00%

发文量

审稿时长

4-8 weeks

期刊介绍： Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.