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 capt...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Multidisciplinary Digital Publishing Institute (MDPI)
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/120686/ http://psasir.upm.edu.my/id/eprint/120686/1/120686.pdf |
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| author | 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 |
| author_facet | 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 |
| author_sort | Fazliana, Mansor |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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 1H-nuclear magnetic resonance (NMR). Obese patients with BMI ≥ 25 kg/m2 (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 1H-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 1H-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. |
| first_indexed | 2025-11-15T14:48:52Z |
| format | Article |
| id | upm-120686 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:48:52Z |
| publishDate | 2025 |
| publisher | Multidisciplinary Digital Publishing Institute (MDPI) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1206862025-10-08T04:43:51Z http://psasir.upm.edu.my/id/eprint/120686/ Metabolomics: uncovering insights into obesity and diabetes 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 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 1H-nuclear magnetic resonance (NMR). Obese patients with BMI ≥ 25 kg/m2 (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 1H-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 1H-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. Multidisciplinary Digital Publishing Institute (MDPI) 2025 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/120686/1/120686.pdf Fazliana, Mansor and Gee, Tikfu and Lim, Shu Yu and Tsen, Poh Yue and Nor Hanipah, Zubaidah and Zainal Abidin, Nur Azlin and Zhuan, Tan You and Mohkiar, Farah Huda and Ahmad Zamri, Liyana and Ahmad, Haron and Draman, Mohd Shazli and Yusaini, Noorizatul Syahira and Mohd Nawi, Mohd Naeem (2025) Metabolomics: uncovering insights into obesity and diabetes. International Journal of Molecular Sciences, 26 (13). art. no. 6216. pp. 1-28. ISSN 1661-6596; eISSN: 1422-0067 https://www.mdpi.com/1422-0067/26/13/6216 10.3390/ijms26136216 |
| spellingShingle | 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 Metabolomics: uncovering insights into obesity and diabetes |
| title | Metabolomics: uncovering insights into obesity and diabetes |
| title_full | Metabolomics: uncovering insights into obesity and diabetes |
| title_fullStr | Metabolomics: uncovering insights into obesity and diabetes |
| title_full_unstemmed | Metabolomics: uncovering insights into obesity and diabetes |
| title_short | Metabolomics: uncovering insights into obesity and diabetes |
| title_sort | metabolomics: uncovering insights into obesity and diabetes |
| url | http://psasir.upm.edu.my/id/eprint/120686/ http://psasir.upm.edu.my/id/eprint/120686/ http://psasir.upm.edu.my/id/eprint/120686/ http://psasir.upm.edu.my/id/eprint/120686/1/120686.pdf |