Serum Lipidomic Analysis of T2DM Patients: A Potential Biomarker Study.

IF 2.8 3区医学 Q3 ENDOCRINOLOGY & METABOLISM

Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy Pub Date : 2025-02-19 eCollection Date: 2025-01-01 DOI:10.2147/DMSO.S505863

Wenwen Qi, Chunjing Yang, Jingfeng Li, Li Bao

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引用次数: 0

Abstract

Purpose: Comprehensive analysis of serum lipidomics is important for the treatment and prevention of type 2 diabetes (T2DM). The purpose of this study was to provide a profile of lipid changes in the serum of T2DM patients and identify potential lipid biomarkers.

Patients and methods: In this study, we collected clinical physiological parameters and determined the serum lipid profiles of 30 T2DM patients and 30 matched healthy volunteers using the UPLC-MS method. T test and multivariate statistical analyses were used to identify candidate lipid predictors using the GraphPad Prism 9.5 software and MetaboAnalyst 5.0 online platform.

Results: Based on the above test, 1162 lipid metabolites were detected, of which 267 were significantly altered in the T2DM group (FDR < 0.05), which belonged to the five main lipid classes. Eleven lipids were identified as potential lipid biomarkers with the specific screening criteria (variable importance in the projection (VIP) >1.0; P < 0.05; log₂(Fold Change) > 1) in the MetaboAnalyst 5.0 online platform. The Pearson rank correlation test showed that ten differential lipids were significantly correlated with T2DM-related physiological parameters (2h-loaded blood glucose and HbAc1 (glycated haemoglobin)). ROC curve analyses revealed that the combined 11 lipids or LPI classes can be as candidate features for the development of an integrated diagnostic biosignature for T2DM.

Conclusion: The results of this study revealed important changes in lipids in T2DM patients, expanded the knowledge of lipid levels and T2DM progression, and provided important metabolic information for the therapy and diagnosis of T2DM.

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T2DM患者的血清脂质组学分析：一项潜在的生物标志物研究。

目的：全面分析血清脂质组学对2型糖尿病（T2DM）的治疗和预防具有重要意义。本研究的目的是提供T2DM患者血清脂质变化的概况，并确定潜在的脂质生物标志物。患者和方法：在本研究中，我们收集了30例T2DM患者和30例匹配的健康志愿者的临床生理参数，并使用UPLC-MS法测定了血脂谱。使用GraphPad Prism 9.5软件和MetaboAnalyst 5.0在线平台，采用T检验和多变量统计分析确定候选血脂预测因子。结果：在上述试验基础上，共检测到1162种脂质代谢物，其中T2DM组有267种显著改变（FDR < 0.05），属于5类主要脂质。11种脂质被确定为潜在的脂质生物标志物，具有特定的筛选标准(可变重要性在投影(VIP) >1.0；P < 0.05；log2(Fold Change) > 1)在MetaboAnalyst 5.0在线平台中。Pearson秩相关检验显示，10种不同的脂质与t2dm相关的生理参数（2h负荷血糖和糖化血红蛋白HbAc1）显著相关。ROC曲线分析显示，11种脂质或LPI类别可以作为开发T2DM综合诊断生物特征的候选特征。结论：本研究结果揭示了T2DM患者血脂的重要变化，拓展了对血脂水平与T2DM进展的认识，为T2DM的治疗和诊断提供了重要的代谢信息。

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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来源期刊

Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy Pharmacology, Toxicology and Pharmaceutics-Pharmacology

CiteScore

5.90

自引率

6.10%

发文量

431

审稿时长

16 weeks

期刊介绍： An international, peer-reviewed, open access, online journal. The journal is committed to the rapid publication of the latest laboratory and clinical findings in the fields of diabetes, metabolic syndrome and obesity research. Original research, review, case reports, hypothesis formation, expert opinion and commentaries are all considered for publication.