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皮肤微生物群:代谢紊乱与皮肤健康和疾病之间相互作用的调节者

Skin Microbiota: Mediator of Interactions Between Metabolic Disorders and Cutaneous Health and Disease.

作者信息

Kreouzi Magdalini, Theodorakis Nikolaos, Nikolaou Maria, Feretzakis Georgios, Anastasiou Athanasios, Kalodanis Konstantinos, Sakagianni Aikaterini

机构信息

Department of Internal Medicine, Amalia Fleming General Hospital, 14, 25th Martiou Str., 15127 Athens, Greece.

NT-CardioMetabolics, Clinic for Metabolism and Athletic Performance, 47 Tirteou Str., 17564 Palaio Faliro, Greece.

出版信息

Microorganisms. 2025 Jan 14;13(1):161. doi: 10.3390/microorganisms13010161.

Abstract

Metabolic disorders, including type 2 diabetes mellitus (T2DM), obesity, and metabolic syndrome, are systemic conditions that profoundly impact the skin microbiota, a dynamic community of bacteria, fungi, viruses, and mites essential for cutaneous health. Dysbiosis caused by metabolic dysfunction contributes to skin barrier disruption, immune dysregulation, and increased susceptibility to inflammatory skin diseases, including psoriasis, atopic dermatitis, and acne. For instance, hyperglycemia in T2DM leads to the formation of advanced glycation end products (AGEs), which bind to the receptor for AGEs (RAGE) on keratinocytes and immune cells, promoting oxidative stress and inflammation while facilitating Staphylococcus aureus colonization in atopic dermatitis. Similarly, obesity-induced dysregulation of sebaceous lipid composition increases saturated fatty acids, favoring pathogenic strains of , which produce inflammatory metabolites that exacerbate acne. Advances in metabolomics and microbiome sequencing have unveiled critical biomarkers, such as short-chain fatty acids and microbial signatures, predictive of therapeutic outcomes. For example, elevated butyrate levels in psoriasis have been associated with reduced Th17-mediated inflammation, while the presence of specific Lactobacillus strains has shown potential to modulate immune tolerance in atopic dermatitis. Furthermore, machine learning models are increasingly used to integrate multi-omics data, enabling personalized interventions. Emerging therapies, such as probiotics and postbiotics, aim to restore microbial diversity, while phage therapy selectively targets pathogenic bacteria like without disrupting beneficial flora. Clinical trials have demonstrated significant reductions in inflammatory lesions and improved quality-of-life metrics in patients receiving these microbiota-targeted treatments. This review synthesizes current evidence on the bidirectional interplay between metabolic disorders and skin microbiota, highlighting therapeutic implications and future directions. By addressing systemic metabolic dysfunction and microbiota-mediated pathways, precision strategies are paving the way for improved patient outcomes in dermatologic care.

摘要

代谢紊乱,包括2型糖尿病(T2DM)、肥胖症和代谢综合征,是全身性疾病,会对皮肤微生物群产生深远影响。皮肤微生物群是一个由细菌、真菌、病毒和螨虫组成的动态群落,对皮肤健康至关重要。代谢功能障碍引起的生态失调会导致皮肤屏障破坏、免疫失调,并增加对炎症性皮肤病的易感性,包括银屑病、特应性皮炎和痤疮。例如,T2DM中的高血糖会导致晚期糖基化终末产物(AGEs)的形成,这些产物与角质形成细胞和免疫细胞上的AGE受体(RAGE)结合,促进氧化应激和炎症,同时促进金黄色葡萄球菌在特应性皮炎中的定植。同样,肥胖引起的皮脂腺脂质成分失调会增加饱和脂肪酸,有利于痤疮丙酸杆菌的致病菌株生长,这些菌株会产生炎症代谢物,加剧痤疮。代谢组学和微生物组测序的进展揭示了关键的生物标志物,如短链脂肪酸和微生物特征,可预测治疗结果。例如,银屑病中丁酸盐水平升高与Th17介导的炎症减少有关,而特定乳酸杆菌菌株的存在显示出调节特应性皮炎免疫耐受的潜力。此外,机器学习模型越来越多地用于整合多组学数据,实现个性化干预。新兴疗法,如益生菌和后生元,旨在恢复微生物多样性,而噬菌体疗法则选择性地靶向痤疮丙酸杆菌等病原菌,而不破坏有益菌群。临床试验表明,接受这些针对微生物群的治疗的患者炎症性病变显著减少,生活质量指标得到改善。本综述综合了关于代谢紊乱与皮肤微生物群之间双向相互作用的现有证据,强调了治疗意义和未来方向。通过解决全身性代谢功能障碍和微生物群介导的途径,精准策略正在为改善皮肤病治疗的患者预后铺平道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1390/11767725/639b9374aaaf/microorganisms-13-00161-g001.jpg

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