Metabolomics of Type 1 and Type 2 Diabetes: Insights into Risk Prediction and Mechanisms.
Metabolomics of Type 1 and Type 2 Diabetes: Insights into Risk Prediction and Mechanisms.
复制标题
1型和2型糖尿病的代谢组学：对风险预测和机制的见解
DOI：
10.1007/s11892-022-01449-0
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发表时间：
2022-03
影响因子：
4.2
通讯作者：
Nayor M
中科院分区：
文献类型：
--
作者：
Izundegui DG;Nayor M
代谢组学能够快速询问广泛的代谢过程，使其非常适合研究糖尿病。在这里，我们回顾了代谢组学研究在糖尿病的现状，强调其应用，以提高风险预测和机制的理解。代谢物与2型糖尿病风险相关的发现已经证实了实验观察结果（例如，支链氨基酸）并且还确定了糖尿病风险的新途径（例如，二甲基胍基戊酸）。在1型糖尿病中，在发生自身抗体和高血糖症之前观察到异常代谢物模式。糖尿病并发症显示出与糖尿病代谢紊乱不同的特定代谢物特征，并且在血管床之间存在差异。最后，代谢产物对药物治疗反应强烈，这为了解个体间治疗反应提供了机会。代谢组学研究已经阐明了糖尿病发展、并发症和治疗反应的生物学机制。虽然还没有准备好临床翻译，代谢组学是一个强大的和有前途的精确医学工具。
Metabolomics enables rapid interrogation of widespread metabolic processes making it well-suited for studying diabetes. Here, we review the current status of metabolomic investigation in diabetes, highlighting its applications for improving risk prediction and mechanistic understanding. Findings of metabolite associations with type 2 diabetes risk have confirmed experimental observations (e.g., branched-chain amino acids) and also pinpointed novel pathways of diabetes risk (e.g., dimethylguanidino valeric acid). In type 1 diabetes, abnormal metabolite patterns are observed prior to the development of autoantibodies and hyperglycemia. Diabetes complications display specific metabolite signatures that are distinct from the metabolic derangements of diabetes and differ across vascular beds. Lastly, metabolites respond acutely to pharmacologic treatment, providing opportunities to understand inter-individual treatment responses. Metabolomic studies have elucidated biological mechanisms underlying diabetes development, complications, and therapeutic response. While not yet ready for clinical translation, metabolomics is a powerful and promising precision medicine tool.
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影响因子：
7.7
作者：
Chen, Zsu-Zsu;Liu, Jinxi;Gerszten, Robert E.
通讯作者：
Gerszten, Robert E.
影响因子：
7.7
作者：
Floegel A;Stefan N;Yu Z;Mühlenbruch K;Drogan D;Joost HG;Fritsche A;Häring HU;Hrabě de Angelis M;Peters A;Roden M;Prehn C;Wang-Sattler R;Illig T;Schulze MB;Adamski J;Boeing H;Pischon T
通讯作者：
Pischon T
影响因子：
37.8
作者：
Cheng S;Rhee EP;Larson MG;Lewis GD;McCabe EL;Shen D;Palma MJ;Roberts LD;Dejam A;Souza AL;Deik AA;Magnusson M;Fox CS;O'Donnell CJ;Vasan RS;Melander O;Clish CB;Gerszten RE;Wang TJ
通讯作者：
Wang TJ
DOI：
10.1161/hcg.0000000000000032
发表时间：
2017-04
期刊：
Circulation. Cardiovascular genetics
影响因子：
--
作者：
Cheng S;Shah SH;Corwin EJ;Fiehn O;Fitzgerald RL;Gerszten RE;Illig T;Rhee EP;Srinivas PR;Wang TJ;Jain M;American Heart Association Council on Functional Genomics and Translational Biology; Council on Cardiovascular and Stroke Nursing; Council on Clinical Cardiology; and Stroke Council
通讯作者：
American Heart Association Council on Functional Genomics and Translational Biology; Council on Cardiovascular and Stroke Nursing; Council on Clinical Cardiology; and Stroke Council
影响因子：
7.7
作者：
Curovic VR;Suvitaival T;Mattila I;Ahonen L;Trošt K;Theilade S;Hansen TW;Legido-Quigley C;Rossing P
通讯作者：
Rossing P