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代谢组学:揭示肥胖与糖尿病的内在奥秘

Metabolomics: Uncovering Insights into Obesity and Diabetes.

作者信息

Fazliana Mansor, Gee Tikfu, Lim Shu Yu, Tsen Poh Yue, Nor Hanipah Zubaidah, Zainal Abidin Nur Azlin, Zhuan Tan You, Mohkiar Farah Huda, Ahmad Zamri Liyana, Ahmad Haron, Draman Mohd Shazli, Yusaini Noorizatul Syahira, Mohd Nawi Mohd Naeem

机构信息

Nutrition, Metabolism and Cardiovascular Research Centre, Institute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Shah Alam 40170, Selangor, Malaysia.

iHEAL Medical Centre, Mid Valley City, Kuala Lumpur 59200, Malaysia.

出版信息

Int J Mol Sci. 2025 Jun 27;26(13):6216. doi: 10.3390/ijms26136216.

Abstract

Obesity is a complex, diverse, and multifactorial disease that has become a significant public health concern. It is a modifiable risk factor for developing type 2 diabetes (T2D). The current classification systems rely on anthropometric measurements, such as body mass index (BMI), which cannot capture the physiopathological diversity of this disease. This study aimed to analyze the metabolic signatures of obesity and diabetes using H-nuclear magnetic resonance (NMR). Obese patients with BMI ≥ 25 kg/m (according to the Asian cut-off value) with different diabetes status scheduled to undergo metabolic-bariatric surgery at three hospitals were prospectively recruited for this study. Plasma samples of 111 obese patients and 26 healthy controls were analyzed by H-NMR. When compared among groups with different diabetes statuses, four clusters with no differences in BMI but different metabolomics profiles were obtained. These clusters highlight intricate metabolic relationships associated with obesity and diabetes. This study demonstrated the benefits of using precision techniques like H-NMR to better early detection, substantially decreasing the risk of developing T2D and its related complications. This study is the first to report on metabolic markers and altered metabolic profiles of T2D and prediabetes among obese Malaysians with a BMI cut-off value for the Asian population.

摘要

肥胖是一种复杂、多样且多因素的疾病,已成为重大的公共卫生问题。它是发生2型糖尿病(T2D)的一个可改变的风险因素。当前的分类系统依赖于人体测量指标,如体重指数(BMI),而这无法体现该疾病的生理病理多样性。本研究旨在利用氢核磁共振(NMR)分析肥胖和糖尿病的代谢特征。本研究前瞻性招募了在三家医院计划接受代谢减重手术、BMI≥25 kg/m(根据亚洲临界值)且具有不同糖尿病状态的肥胖患者。对111名肥胖患者和26名健康对照的血浆样本进行了氢核磁共振分析。在比较不同糖尿病状态的组时,获得了四个BMI无差异但代谢组学特征不同的聚类。这些聚类突出了与肥胖和糖尿病相关的复杂代谢关系。本研究证明了使用氢核磁共振等精准技术在更好地进行早期检测、大幅降低发生T2D及其相关并发症风险方面的益处。本研究首次报告了亚洲人群BMI临界值的肥胖马来西亚人中T2D和糖尿病前期的代谢标志物及改变的代谢谱。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dbe/12249953/e03da5b694f9/ijms-26-06216-g002.jpg

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