Plasma tyrosine and its interaction with low high-density lipoprotein cholesterol and the risk of type 2 diabetes mellitus in Chinese

Journal of Diabetes Investigation
Jing LiZhong-Ze Fang

Abstract

Metabolomic markers have the potential to improve the predicting accuracy of existing risk scores for type 2 diabetes mellitus. The present study aimed to test the associations between plasma tyrosine and type 2 diabetes mellitus with special attention to identifying possible cut-off points for type 2 diabetes mellitus, and its interactive effects with low high-density lipoprotein cholesterol (HDL-C) and/or high triglyceride for type 2 diabetes mellitus. From 27 May 2015 to 3 August 2016, we retrieved the medical notes of 1,898 inpatients with type 2 diabetes mellitus as the cases, and 1,522 individuals without diabetes as the controls who attended annual medical checkups from the same tertiary care center in Jinzhou, China. Logistic regression analyses were carried out to obtain odds ratios (ORs) and 95% confidence intervals (CIs). Restricted cubic spline analysis nested in the logistic regression analysis was used to identify possible cut-off points of tyrosine for type 2 diabetes mellitus. The additive interaction was used to estimate interactions between high tyrosine and low HDL-C in type 2 diabetes mellitus patients. The OR of tyrosine for type 2 diabetes mellitus did not increase until 46 μmol/L and after that point, the...Continue Reading

References

Jul 21, 1998·The Journal of Biological Chemistry·K MuraoN C Wong
Nov 26, 1999·Proceedings of the National Academy of Sciences of the United States of America·I ShimomuraJ L Goldstein
Apr 6, 2005·Biochemical and Biophysical Research Communications·Quan ChiKaixun Huang
Aug 27, 2005·European Journal of Epidemiology·Tomas AnderssonAnders Ahlbom
Feb 20, 2007·Circulation Research·Mhairi C Towler, D Grahame Hardie
Jun 12, 2009·Gender Medicine·Derek LeRoith
Apr 30, 2009·Archives of Biochemistry and Biophysics·Thomas KoeckKulwant S Aulak
Jun 12, 2010·Diabetic Medicine : a Journal of the British Diabetic Association·W G GaoQ Qiao
Mar 23, 2011·Nature Medicine·Thomas J WangRobert E Gerszten
Aug 2, 2013·Diabetes Care·Valeriya Lyssenko, Markku Laakso
Sep 5, 2013·JAMA : the Journal of the American Medical Association·Yu XuUNKNOWN 2010 China Noncommunicable Disease Surveillance Group
Mar 25, 2015·Nature Reviews. Endocrinology·Xilin YangJuliana C N Chan

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Citations

Apr 2, 2020·Journal of Diabetes Investigation·Takashi Matsuzaka, Hitoshi Shimano
Mar 12, 2021·Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy·Dihe ChengGuixia Wang
Aug 27, 2021·Metabolites·Jeffrey PattersonHaiwei Gu

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