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3
Multiomics Analyses With Stool-Type Stratification in Patient Cohorts and Blautia Identification as a Potential Bacterial Modulator in Type 2 Diabetes Mellitus.基于粪便类型分层的患者队列多组学分析和布劳特氏菌鉴定为 2 型糖尿病潜在的细菌调节剂
Diabetes. 2024 Mar 1;73(3):511-527. doi: 10.2337/db23-0447.
4
Impact of metformin and Dysosmobacter welbionis on diet-induced obesity and diabetes: from clinical observation to preclinical intervention.二甲双胍和韦荣球菌对饮食诱导肥胖和糖尿病的影响:从临床观察到临床前干预。
Diabetologia. 2024 Feb;67(2):333-345. doi: 10.1007/s00125-023-06032-0. Epub 2023 Oct 28.
5
Multi-omic prediction of incident type 2 diabetes.多组学预测 2 型糖尿病发病风险。
Diabetologia. 2024 Jan;67(1):102-112. doi: 10.1007/s00125-023-06027-x. Epub 2023 Oct 27.
6
The metabolomic signature of weight loss and remission in the Diabetes Remission Clinical Trial (DiRECT).糖尿病缓解临床试验(DiRECT)中体重减轻和缓解的代谢组学特征。
Diabetologia. 2024 Jan;67(1):74-87. doi: 10.1007/s00125-023-06019-x. Epub 2023 Oct 25.
7
The metabolic potential of inflammatory and insulinaemic dietary patterns and risk of type 2 diabetes.炎症性和胰岛素血症性饮食模式的代谢潜能与2型糖尿病风险
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9
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DNA Methylation at ABCG1 and Long-term Changes in Adiposity and Fat Distribution in Response to Dietary Interventions: The POUNDS Lost Trial.ABCG1 基因的 DNA 甲基化与饮食干预后体脂和脂肪分布的长期变化:POUNDS Lost 试验。
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探讨 2 型糖尿病疗效机制的临床研究设计。

Exploring the design of clinical research studies on the efficacy mechanisms in type 2 diabetes mellitus.

机构信息

College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China.

Department of Encephalopathy, The Affiliated Hospital of Changchun university of Chinese Medicine, Jilin, China.

出版信息

Front Endocrinol (Lausanne). 2024 Sep 20;15:1363877. doi: 10.3389/fendo.2024.1363877. eCollection 2024.

DOI:10.3389/fendo.2024.1363877
PMID:39371930
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11449758/
Abstract

This review examines the complexities of Type 2 Diabetes Mellitus (T2DM), focusing on the critical role of integrating omics technologies with traditional experimental methods. It underscores the advancements in understanding the genetic diversity of T2DM and emphasizes the evolution towards personalized treatment modalities. The paper analyzes a variety of omics approaches, including genomics, methylation, transcriptomics, proteomics, metabolomics, and intestinal microbiomics, delineating their substantial contributions to deciphering the multifaceted mechanisms underlying T2DM. Furthermore, the review highlights the indispensable role of non-omics experimental techniques in comprehending and managing T2DM, advocating for their integration in the development of tailored medicine and precision treatment strategies. By identifying existing research gaps and suggesting future research trajectories, the review underscores the necessity for a comprehensive, multidisciplinary approach. This approach synergistically combines clinical insights with cutting-edge biotechnologies, aiming to refine the management and therapeutic interventions of T2DM, and ultimately enhancing patient outcomes. This synthesis of knowledge and methodologies paves the way for innovative advancements in T2DM research, fostering a deeper understanding and more effective treatment of this complex condition.

摘要

这篇综述探讨了 2 型糖尿病(T2DM)的复杂性,重点关注将组学技术与传统实验方法相结合的关键作用。它强调了在理解 T2DM 的遗传多样性方面的进展,并强调了向个性化治疗模式的发展。本文分析了多种组学方法,包括基因组学、甲基化、转录组学、蛋白质组学、代谢组学和肠道微生物组学,阐述了它们对破译 T2DM 复杂机制的重要贡献。此外,该综述强调了非组学实验技术在理解和管理 T2DM 方面的不可或缺作用,倡导将其整合到个体化医学和精准治疗策略的发展中。通过识别现有研究差距并提出未来研究方向,该综述强调了需要采用全面的多学科方法。这种方法将临床见解与前沿生物技术协同结合,旨在完善 T2DM 的管理和治疗干预措施,最终改善患者的结局。这种知识和方法的综合为 T2DM 研究的创新性进展铺平了道路,促进了对这种复杂疾病的更深入理解和更有效的治疗。