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Metabolites
Volume 9
Issue 1
10.3390/metabo9010014
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Article

Serum Amino Acids in Association with Prevalent and Incident Type 2 Diabetes in A Chinese Population

by
Yonghai Lu
1,2,
Yeli Wang
1,
Xu Liang
3,
Li Zou
1,
Choon Nam Ong
1,3,*,
Jian-Min Yuan
4,5,
Woon-Puay Koh
1,6 and
An Pan
7,8,*
1
Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore
2
Institute of Nutrition and Health, Qingdao University, Qingdao 266071, China
3
NUS Environmental Research Institute, National University of Singapore, Singapore 117411, Singapore
4
Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA 15232, USA
5
Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15232, USA
6
Health Services and Systems Research, Duke-NUS Medical School Singapore, Singapore 169857, Singapore
7
Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
8
Ministry of Education Key Laboratory of Environment and Health and State Key Laboratory of Environmental Health (incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
*
Authors to whom correspondence should be addressed.
Metabolites 2019, 9(1), 14; https://doi.org/10.3390/metabo9010014
Submission received: 20 December 2018 / Revised: 4 January 2019 / Accepted: 9 January 2019 / Published: 14 January 2019
Versions Notes

Abstract

We aimed to simultaneously examine the associations of both essential and non-essential amino acids with both prevalent and incident type 2 diabetes in a Chinese population. A case-control study was nested within the Singapore Chinese Health Study. Participants included 144 cases with prevalent and 160 cases with incident type 2 diabetes and 304 controls. Cases and controls were individually matched on age, sex, and date of blood collection. Baseline serum levels of 9 essential and 10 non-essential amino acids were measured using liquid chromatography tandem mass spectrometry. We identified that five essential (isoleucine, leucine, lysine, phenylalanine, and valine) and five non-essential (alanine, glutamic acid, glutamine, glycine, and tyrosine) amino acids were associated with the prevalence of type 2 diabetes; four essential (isoleucine, leucine, tryptophan, and valine) and two non-essential (glutamine and tyrosine) amino acids were associated with the incidence of type 2 diabetes. Of these, valine and tyrosine independently led to a significant improvement in risk prediction of incident type 2 diabetes. This study demonstrates that both essential and non-essential amino acids were associated with the risk for prevalent and incident type 2 diabetes, and the findings could aid in diabetes risk assessment in this Chinese population.
Keywords: Essential amino acids; non-essential amino acids; type 2 diabetes; serum; LC-MS/MS Essential amino acids; non-essential amino acids; type 2 diabetes; serum; LC-MS/MS

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MDPI and ACS Style

Lu, Y.; Wang, Y.; Liang, X.; Zou, L.; Ong, C.N.; Yuan, J.-M.; Koh, W.-P.; Pan, A. Serum Amino Acids in Association with Prevalent and Incident Type 2 Diabetes in A Chinese Population. Metabolites 2019, 9, 14. https://doi.org/10.3390/metabo9010014

AMA Style

Lu Y, Wang Y, Liang X, Zou L, Ong CN, Yuan J-M, Koh W-P, Pan A. Serum Amino Acids in Association with Prevalent and Incident Type 2 Diabetes in A Chinese Population. Metabolites. 2019; 9(1):14. https://doi.org/10.3390/metabo9010014

Chicago/Turabian Style

Lu, Yonghai, Yeli Wang, Xu Liang, Li Zou, Choon Nam Ong, Jian-Min Yuan, Woon-Puay Koh, and An Pan. 2019. "Serum Amino Acids in Association with Prevalent and Incident Type 2 Diabetes in A Chinese Population" Metabolites 9, no. 1: 14. https://doi.org/10.3390/metabo9010014

APA Style

Lu, Y., Wang, Y., Liang, X., Zou, L., Ong, C. N., Yuan, J.-M., Koh, W.-P., & Pan, A. (2019). Serum Amino Acids in Association with Prevalent and Incident Type 2 Diabetes in A Chinese Population. Metabolites, 9(1), 14. https://doi.org/10.3390/metabo9010014

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