利用 1H-NMR 代谢组学鉴定控制不佳的 2 型糖尿病。

IF 3.5 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Metabolomics Pub Date : 2024-05-11 DOI:10.1007/s11306-024-02127-w
Isabella J Theron, Shayne Mason, Mari van Reenen, Zinandré Stander, Léanie Kleynhans, Katharina Ronacher, Du Toit Loots
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引用次数: 0

摘要

导言:2 型糖尿病的发病率已飙升至流行病的程度,尽管进行了治疗/坚持了治疗,但仍有一些人的糖尿病控制不佳。虽然现有文献探讨了 2 型糖尿病的代谢变化,但对控制不佳病例代谢紊乱的了解仍然有限:本研究旨在分析南非队列中控制不佳的 2 型糖尿病患者的尿液代谢组特征:方法:采用非靶向质子核磁共振代谢组学方法,对 15 名控制不佳的 2 型糖尿病患者和 25 名健康对照者的尿液样本进行分析和统计比较,以确定不同的代谢物:结果:控制不佳的 2 型糖尿病患者的特征是各种代谢物浓度升高,这些代谢物与大燃料途径(包括碳水化合物代谢、酮体生成、蛋白质分解和三羧酸循环)的变化、自噬和/或细胞凋亡、饮食失控以及肝肾损伤有关:这些结果表明,控制不佳的 2 型糖尿病患者的细胞葡萄糖摄取受抑制,会严重影响能量生成途径,导致细胞凋亡和/或自噬,最终造成肾脏和肝脏轻度损伤。研究还表明,饮食依从性差是导致患者血糖失控的原因之一。这些研究结果首次全面概述了控制不佳的2型糖尿病患者的尿液代谢变化及其与继发性疾病的关联,为更有针对性的治疗策略提供了潜在的见解,以防止疾病恶化、提高治疗效果和饮食/治疗依从性。
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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Characterizing poorly controlled type 2 diabetes using 1H-NMR metabolomics.

Introduction: The prevalence of type 2 diabetes has surged to epidemic proportions and despite treatment administration/adherence, some individuals experience poorly controlled diabetes. While existing literature explores metabolic changes in type 2 diabetes, understanding metabolic derangement in poorly controlled cases remains limited.

Objective: This investigation aimed to characterize the urine metabolome of poorly controlled type 2 diabetes in a South African cohort.

Method: Using an untargeted proton nuclear magnetic resonance metabolomics approach, urine samples from 15 poorly controlled type 2 diabetes patients and 25 healthy controls were analyzed and statistically compared to identify differentiating metabolites.

Results: The poorly controlled type 2 diabetes patients were characterized by elevated concentrations of various metabolites associated with changes to the macro-fuel pathways (including carbohydrate metabolism, ketogenesis, proteolysis, and the tricarboxylic acid cycle), autophagy and/or apoptosis, an uncontrolled diet, and kidney and liver damage.

Conclusion: These results indicate that inhibited cellular glucose uptake in poorly controlled type 2 diabetes significantly affects energy-producing pathways, leading to apoptosis and/or autophagy, ultimately contributing to kidney and mild liver damage. The study also suggests poor dietary compliance as a cause of the patient's uncontrolled glycemic state. Collectively these findings offer a first-time comprehensive overview of urine metabolic changes in poorly controlled type 2 diabetes and its association with secondary diseases, offering potential insights for more targeted treatment strategies to prevent disease progression, treatment efficacy, and diet/treatment compliance.

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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
期刊最新文献
Multiplatform metabolomic interlaboratory study of a whole human stool candidate reference material from omnivore and vegan donors. Sex-bias metabolism of fetal organs, and their relationship to the regulation of fetal brain-placental axis. Identification of novel hypertension biomarkers using explainable AI and metabolomics. Association of urinary volatile organic compounds and chronic kidney disease in patients with diabetes: real-world evidence from the NHANES. Investigation of the reproducibility of the treatment efficacy of a commercial bio stimulant using metabolic profiling on flax.
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