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Heterogeneously elevated branched-chain/aromatic amino acids among new-onset type-2 diabetes mellitus patients are potentially skewed diabetes predictors.
Wang, Min; Ou, Yang; Yuan, Xiang-Lian; Zhu, Xiu-Fang; Niu, Ben; Kang, Zhuang; Zhang, Bing; Ahmed, Anwar; Xing, Guo-Qiang; Su, Heng.
Affiliation
  • Wang M; School of Chemical Science and Technology, Yunnan University, Kunming 650091, Yunnan Province, China.
  • Ou Y; Department of Endocrinology, The First People's Hospital of Yunnan Province, Kunming 650032, Yunnan Province, China.
  • Yuan XL; Department of Endocrinology, The First People's Hospital of Yunnan Province, Kunming 650032, Yunnan Province, China.
  • Zhu XF; School of Chemical Science and Technology, Yunnan University, Kunming 650091, Yunnan Province, China.
  • Niu B; Department of Endocrinology, The First People's Hospital of Yunnan Province, Kunming 650032, Yunnan Province, China.
  • Kang Z; Department of Endocrinology, The First People's Hospital of Yunnan Province, Kunming 650032, Yunnan Province, China.
  • Zhang B; Clinical Laboratory, Nanchong Central Hospital & The Second Clinical Medical College of North Sichuan Medical University, Nanchong 637000, Sichuan Province, China.
  • Ahmed A; Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, United States.
  • Xing GQ; The Affiliated Hospital and Second Clinical Medical College, North Sichuan Medical University, Nanchong 637000, Sichuan Province, China.
  • Su H; Department of Research and Development, Lotus Biotech.com LLC, Gaithersburg, MD 20878, United States.
World J Diabetes ; 15(1): 53-71, 2024 Jan 15.
Article in En | MEDLINE | ID: mdl-38313852
ABSTRACT

BACKGROUND:

The lack of specific predictors for type-2 diabetes mellitus (T2DM) severely impacts early intervention/prevention efforts. Elevated branched-chain amino acids (BCAAs Isoleucine, leucine, valine) and aromatic amino acids (AAAs Tyrosine, tryptophan, phenylalanine)) show high sensitivity and specificity in predicting diabetes in animals and predict T2DM 10-19 years before T2DM onset in clinical studies. However, improvement is needed to support its clinical utility.

AIM:

To evaluate the effects of body mass index (BMI) and sex on BCAAs/AAAs in new-onset T2DM individuals with varying body weight.

METHODS:

Ninety-seven new-onset T2DM patients (< 12 mo) differing in BMI [normal weight (NW), n = 33, BMI = 22.23 ± 1.60; overweight, n = 42, BMI = 25.9 ± 1.07; obesity (OB), n = 22, BMI = 31.23 ± 2.31] from the First People's Hospital of Yunnan Province, Kunming, China, were studied. One-way and 2-way ANOVAs were conducted to determine the effects of BMI and sex on BCAAs/AAAs.

RESULTS:

Fasting serum AAAs, BCAAs, glutamate, and alanine were greater and high-density lipoprotein (HDL) was lower (P < 0.05, each) in OB-T2DM patients than in NW-T2DM patients, especially in male OB-T2DM patients. Arginine, histidine, leucine, methionine, and lysine were greater in male patients than in female patients. Moreover, histidine, alanine, glutamate, lysine, valine, methionine, leucine, isoleucine, tyrosine, phenylalanine, and tryptophan were significantly correlated with abdominal adiposity, body weight and BMI, whereas isoleucine, leucine and phenylalanine were negatively correlated with HDL.

CONCLUSION:

Heterogeneously elevated amino acids, especially BCAAs/AAAs, across new-onset T2DM patients in differing BMI categories revealed a potentially skewed prediction of T2DM development. The higher BCAA/AAA levels in obese T2DM patients would support T2DM prediction in obese individuals, whereas the lower levels of BCAAs/AAAs in NW-T2DM individuals may underestimate T2DM risk in NW individuals. This potentially skewed T2DM prediction should be considered when BCAAs/AAAs are to be used as the T2DM predictor.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: World J Diabetes Year: 2024 Document type: Article Affiliation country: China Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: World J Diabetes Year: 2024 Document type: Article Affiliation country: China Country of publication: Estados Unidos