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Article: Tryptophan Predicts the Risk for Future Type 2 Diabetes

TitleTryptophan Predicts the Risk for Future Type 2 Diabetes
Authors
Issue Date2016
Citation
PLoS ONE, 2016, v. 11, n. 9, article no. e0162192 How to Cite?
AbstractRecently, 5 amino acids were identified and verified as important metabolites highly associated with type 2 diabetes (T2D) development. This report aims to assess the association of tryptophan with the development of T2D and to evaluate its performance with existing amino acid markers. A total of 213 participants selected from a ten-year longitudinal Shanghai Diabetes Study (SHDS) were examined in two ways: 1) 51 subjects who developed diabetes and 162 individuals who remained metabolically healthy in 10 years; 2) the same 51 future diabetes and 23 strictly matched ones selected from the 162 healthy individuals. Baseline fasting serum tryptophan concentrations were quantitatively measured using ultra-performance liquid chromatography triple quadruple mass spectrometry. First, serum tryptophan level was found significantly higher in future T2D and was positively and independently associated with diabetes onset risk. Patients with higher tryptophan level tended to present higher degree of insulin resistance and secretion, triglyceride and blood pressure. Second, the prediction potential of tryptophan is non-inferior to the 5 existing amino acids. The predictive performance of the combined score improved after taking tryptophan into account. Our findings unveiled the potential of tryptophan as a new marker associated with diabetes risk in Chinese populations. The addition of tryptophan provided complementary value to the existing amino acid predictors.
Persistent Identifierhttp://hdl.handle.net/10722/342529
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, Tianlu-
dc.contributor.authorZheng, Xiaojiao-
dc.contributor.authorMa, Xiaojing-
dc.contributor.authorBao, Yuqian-
dc.contributor.authorNi, Yan-
dc.contributor.authorHu, Cheng-
dc.contributor.authorRajani, Cynthia-
dc.contributor.authorHuang, Fengjie-
dc.contributor.authorZhao, Aihua-
dc.contributor.authorJiia, Weiping-
dc.contributor.authorJia, Wei-
dc.date.accessioned2024-04-17T07:04:28Z-
dc.date.available2024-04-17T07:04:28Z-
dc.date.issued2016-
dc.identifier.citationPLoS ONE, 2016, v. 11, n. 9, article no. e0162192-
dc.identifier.urihttp://hdl.handle.net/10722/342529-
dc.description.abstractRecently, 5 amino acids were identified and verified as important metabolites highly associated with type 2 diabetes (T2D) development. This report aims to assess the association of tryptophan with the development of T2D and to evaluate its performance with existing amino acid markers. A total of 213 participants selected from a ten-year longitudinal Shanghai Diabetes Study (SHDS) were examined in two ways: 1) 51 subjects who developed diabetes and 162 individuals who remained metabolically healthy in 10 years; 2) the same 51 future diabetes and 23 strictly matched ones selected from the 162 healthy individuals. Baseline fasting serum tryptophan concentrations were quantitatively measured using ultra-performance liquid chromatography triple quadruple mass spectrometry. First, serum tryptophan level was found significantly higher in future T2D and was positively and independently associated with diabetes onset risk. Patients with higher tryptophan level tended to present higher degree of insulin resistance and secretion, triglyceride and blood pressure. Second, the prediction potential of tryptophan is non-inferior to the 5 existing amino acids. The predictive performance of the combined score improved after taking tryptophan into account. Our findings unveiled the potential of tryptophan as a new marker associated with diabetes risk in Chinese populations. The addition of tryptophan provided complementary value to the existing amino acid predictors.-
dc.languageeng-
dc.relation.ispartofPLoS ONE-
dc.titleTryptophan Predicts the Risk for Future Type 2 Diabetes-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1371/journal.pone.0162192-
dc.identifier.pmid27598004-
dc.identifier.scopuseid_2-s2.0-84991380438-
dc.identifier.volume11-
dc.identifier.issue9-
dc.identifier.spagearticle no. e0162192-
dc.identifier.epagearticle no. e0162192-
dc.identifier.eissn1932-6203-
dc.identifier.isiWOS:000383254800045-

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