Metabolomics: Uncovering Insights into Obesity and Diabetes

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 <sup>1</sup>H-nuclear magnetic resonance (NMR). Obese patients with BMI ≥ 25 kg/m<sup>2</sup> (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 <sup>1</sup>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 <sup>1</sup>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.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-06-27
DOI
https://doi.org/10.3390/ijms26136216
Citations
1
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.81

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article

Metabolomics: Uncovering Insights into Obesity and Diabetes

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1 citations
International Journal of Molecular Sciences
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article

Metabolomics: Uncovering Insights into Obesity and Diabetes

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

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 <sup>1</sup>H-nuclear magnetic resonance (NMR). Obese patients with BMI ≥ 25 kg/m<sup>2</sup> (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 <sup>1</sup>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 <sup>1</sup>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.

International Journal of Molecular SciencesVol. 26(13)
Ministry of Health (MY), Universiti Putra Malaysia (MY), Institute for Medical Research (MY), KPJ Ampang Puteri Specialist Hospital (MY), Sunway University (MY)
Kementerian Kesihatan Malaysia
Good health and well-being
Openalex Percentile: Top 26%
Metabolomics and Mass Spectrometry Studies
0.81
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