用代谢组学方法剖析糖尿病前期向 T2DM 进展过程中的代谢失调问题

IF 3 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Molecular omics Pub Date : 2024-04-30 DOI:10.1039/D3MO00130J
Wenrui Ji, Xiaomin Xie, Guirong Bai, Yanting He, Ling Li, Li Zhang and Dan Qiang
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引用次数: 0

摘要

许多糖尿病前期患者最终会发展成糖尿病。因此,对糖尿病前期代谢紊乱进行分析可能是一种有效的针对性预防措施。我们旨在从代谢角度阐明糖尿病前期发展为 2 型糖尿病(T2DM)的代谢机制。根据空腹血糖(FBG)浓度采集的四组血浆样本(每组 20 人)进行了代谢组学分析。采用代谢组和 WGCNA 的综合方法来探索候选代谢物。与健康组(FBG 5.6 mmol L-1)相比,113个代谢物在糖尿病前期(5.6 mmol L-1 ⩽ FBG 6.1 mmol L-1)、237个在糖尿病后期(6.1 mmol L-1 ⩽ FBG 7.0 mmol L-1)和245个在T2DM组(FBG 7.0 mmol L-1)有差异表达。在所有比较中,共有 27 种差异表达代谢物(DEMs)。其中,L-正亮氨酸被下调,而乙硫酰胺、氧化谷胱甘肽、5-甲基胞嘧啶和 alpha-D-glucopyranoside beta-D-fructofuranosyl 则随着 FBG 水平的升高而增加。令人惊讶的是,在 27 个 DEMs 中,有 15 个(11 个溶血磷脂酰胆碱、L-正亮氨酸、氧化谷胱甘肽、花生四烯酸和 5-氧代脯氨酸)是铁变态反应相关代谢物。WGCNA 将所有代谢物聚类为 8 个模块,对 DEMs 的通路富集分析表明,这些代谢物与胰岛素抵抗相关的通路有显著的注释关系。对DEMs、ROC和WGCNA模块的综合分析确定了12种糖尿病前期和T2DM的潜在生物标志物,包括L-亮氨酸,其中8种是L-精氨酸或其代谢物。L-亮氨酸和 L-精氨酸可作为糖尿病前期的生物标记物。我们的血浆代谢组提供的代谢物清单为了解 T2DM 的生理代谢提供了线索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Metabolomic approaches to dissect dysregulated metabolism in the progression of pre-diabetes to T2DM†

Metabolomic approaches to dissect dysregulated metabolism in the progression of pre-diabetes to T2DM†

Metabolomic approaches to dissect dysregulated metabolism in the progression of pre-diabetes to T2DM†

Many individuals with pre-diabetes eventually develop diabetes. Therefore, profiling of prediabetic metabolic disorders may be an effective targeted preventive measure. We aimed to elucidate the metabolic mechanism of progression of pre-diabetes to type 2 diabetes mellitus (T2DM) from a metabolic perspective. Four sets of plasma samples (20 subjects per group) collected according to fasting blood glucose (FBG) concentration were subjected to metabolomic analysis. An integrative approach of metabolome and WGCNA was employed to explore candidate metabolites. Compared with the healthy group (FBG < 5.6 mmol L−1), 113 metabolites were differentially expressed in the early stage of pre-diabetes (5.6 mmol L−1 ⩽ FBG < 6.1 mmol L−1), 237 in the late stage of pre-diabetes (6.1 mmol L−1 ⩽ FBG < 7.0 mmol L−1), and 245 in the T2DM group (FBG 7.0 mmol L−1). A total of 27 differentially expressed metabolites (DEMs) were shared in all comparisons. Among them, L-norleucine was downregulated, whereas ethionamide, oxidized glutathione, 5-methylcytosine, and alpha-D-glucopyranoside beta-D-fructofuranosyl were increased with the rising levels of FBG. Surprisingly, 15 (11 lyso-phosphatidylcholines, L-norleucine, oxidized glutathione, arachidonic acid, and 5-oxoproline) of the 27 DEMs were ferroptosis-associated metabolites. WGCNA clustered all metabolites into 8 modules and the pathway enrichment analysis of DEMs showed a significant annotation to the insulin resistance-related pathway. Integrated analysis of DEMs, ROC and WGCNA modules determined 12 potential biomarkers for pre-diabetes and T2DM, including L-norleucine, 8 of which were L-arginine or its metabolites. L-Norleucine and L-arginine could serve as biomarkers for pre-diabetes. The inventory of metabolites provided by our plasma metabolome offers insights into T2DM physiology metabolism.

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来源期刊
Molecular omics
Molecular omics Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
5.40
自引率
3.40%
发文量
91
期刊介绍: Molecular Omics publishes high-quality research from across the -omics sciences. Topics include, but are not limited to: -omics studies to gain mechanistic insight into biological processes – for example, determining the mode of action of a drug or the basis of a particular phenotype, such as drought tolerance -omics studies for clinical applications with validation, such as finding biomarkers for diagnostics or potential new drug targets -omics studies looking at the sub-cellular make-up of cells – for example, the subcellular localisation of certain proteins or post-translational modifications or new imaging techniques -studies presenting new methods and tools to support omics studies, including new spectroscopic/chromatographic techniques, chip-based/array technologies and new classification/data analysis techniques. New methods should be proven and demonstrate an advance in the field. Molecular Omics only accepts articles of high importance and interest that provide significant new insight into important chemical or biological problems. This could be fundamental research that significantly increases understanding or research that demonstrates clear functional benefits. Papers reporting new results that could be routinely predicted, do not show a significant improvement over known research, or are of interest only to the specialist in the area are not suitable for publication in Molecular Omics.
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