Diabetes mellitus as a multisystem disease: understanding subtypes, complications, and the link with steatotic liver diseases in humans

糖尿病作为一种多系统疾病:了解其亚型、并发症及其与人类脂肪肝疾病的联系

阅读:1

Abstract

BACKGROUND & SCOPE OF REVIEW: Diabetes mellitus encompasses a spectrum of metabolic disorders characterized by hyperglycemia. The currently most replicated phenotypic clustering approach, introduced by Ahlqvist et al. and validated by Zaharia et al., identified subtypes based on clinical presentation and underlying pathophysiology. This classification aims at predicting complication risk and enabling targeted therapies. Our review explores shared and distinct mechanisms driving complications, focusing on cardiovascular disease and metabolic dysfunction-associated steatotic liver disease (MASLD), both strongly linked to insulin resistance. We also summarize treatment strategies targeting both conditions and outline mechanisms specific to the development of diabetic foot syndrome, exemplifying the continuum from localized to systemic complications. METHODS: We conducted a narrative review of human and translational studies, focusing on mechanisms and treatments across the above phenotype-based diabetes subtypes, given their reproducibility across populations. MAIN RESULTS: Diabetes is a multisystem disorder involving a cascade of metabolic disturbances. These include mitochondrial adaptations in key metabolically active tissues contributing to systemic and tissue-specific insulin resistance. Inflammation, inadequate immune responses, oxidative stress, and genetic and environmental factors shape the development of comorbidities whose prevalence varies across subtypes. The interplay between MASLD and diabetes forms a vicious cycle of metabolic abnormalities. Novel treatments show promise in both liver and glycemic endpoints. CONCLUSION: Phenotype-based diabetes subtypes exhibit distinct underlying pathophysiological mechanisms which shape the development of complications, with insulin resistance serving as the central link. Targeting these pathways can pave the way for personalized diabetes therapies.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。