Please use this identifier to cite or link to this item:
https://doi.org/10.3390/metabo9010014
DC Field | Value | |
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dc.title | Serum amino acids in association with prevalent and incident type 2 diabetes in a Chinese population | |
dc.contributor.author | Lu, Y | |
dc.contributor.author | Wang, Y | |
dc.contributor.author | Liang, X | |
dc.contributor.author | Zou, L | |
dc.contributor.author | Ong, C.N | |
dc.contributor.author | Yuan, J.-M | |
dc.contributor.author | Koh, W.-P | |
dc.contributor.author | Pan, A | |
dc.date.accessioned | 2020-09-14T07:46:40Z | |
dc.date.available | 2020-09-14T07:46:40Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | 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;. ScholarBank@NUS Repository. https://doi.org/10.3390/metabo9010014 | |
dc.identifier.issn | 2218-1989 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/176026 | |
dc.description.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. © 2019 by the authors. Licensee MDPI, Basel, Switzerland. | |
dc.source | Unpaywall 20200831 | |
dc.subject | alanine | |
dc.subject | amino acid | |
dc.subject | glucose | |
dc.subject | glutamic acid | |
dc.subject | glutamine | |
dc.subject | glycine | |
dc.subject | hemoglobin A1c | |
dc.subject | high density lipoprotein cholesterol | |
dc.subject | insulin | |
dc.subject | isoleucine | |
dc.subject | leucine | |
dc.subject | lysine | |
dc.subject | phenylalanine | |
dc.subject | triacylglycerol | |
dc.subject | tryptophan | |
dc.subject | tyrosine | |
dc.subject | valine | |
dc.subject | adult | |
dc.subject | aged | |
dc.subject | amino acid analysis | |
dc.subject | Article | |
dc.subject | body mass | |
dc.subject | case control study | |
dc.subject | Chinese | |
dc.subject | female | |
dc.subject | glucose blood level | |
dc.subject | high performance liquid chromatography | |
dc.subject | human | |
dc.subject | hypertension | |
dc.subject | incidence | |
dc.subject | insulin resistance | |
dc.subject | limit of detection | |
dc.subject | liquid chromatography-mass spectrometry | |
dc.subject | major clinical study | |
dc.subject | male | |
dc.subject | mass spectrometry | |
dc.subject | metabolomics | |
dc.subject | non insulin dependent diabetes mellitus | |
dc.subject | predictive value | |
dc.subject | prevalence | |
dc.subject | quality control | |
dc.subject | questionnaire | |
dc.subject | receiver operating characteristic | |
dc.subject | risk assessment | |
dc.subject | risk factor | |
dc.subject | sensitivity and specificity | |
dc.subject | smoking | |
dc.subject | ultra performance liquid chromatography | |
dc.type | Article | |
dc.contributor.department | DUKE-NUS MEDICAL SCHOOL | |
dc.contributor.department | NUS ENVIRONMENTAL RESEARCH INSTITUTE | |
dc.contributor.department | SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH | |
dc.description.doi | 10.3390/metabo9010014 | |
dc.description.sourcetitle | Metabolites | |
dc.description.volume | 9 | |
dc.description.issue | 1 | |
dc.description.page | 14; | |
dc.published.state | Published | |
Appears in Collections: | Elements Staff Publications |
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