Literature DB >> 21199427

Cross-sectional and longitudinal association of serum alanine aminotransaminase and γ-glutamyltransferase with metabolic syndrome in middle-aged and elderly Chinese people.

Yu Xu1, Yu-fang Bi, Min Xu, Yun Huang, Wen-ying Lu, Yi-fu Gu, Guang Ning, Xiao-ying Li.   

Abstract

BACKGROUND: Although associations of the liver enzymes alanine aminotransaminase (ALT) and γ-glutamyltransferase (GGT) with metabolic syndrome (MetS) are well recognized, whether they are independent of insulin resistance and which enzyme is more effective are yet to be clarified.
METHODS: A total of 5404 subjects aged ≥ 40 years were recruited from two urban communities in Shanghai for cross-sectional analyses. A subgroup of 681 participants without MetS at baseline was included in the longitudinal analyses. Insulin resistance was measured using the homeostasis model assessment of insulin resistance (HOMA-IR), and the modified National Cholesterol Education Program Adult Treatment Panel III criteria were adopted to diagnose MetS.
RESULTS: Both GGT and ALT were strongly and positively associated with MetS risks in simple and multivariate analyses. Further adjustment for HOMA-IR and ALT did not change the association of GGT and MetS materially, whereas adjustment for HOMA-IR and GGT substantially attenuated the ALT-MetS association. In longitudinal analyses, risks of developing MetS were increased across GGT quartiles in a dose-dependent manner after extensive adjustments (odds ratios were 1.00, 1.38, 1.62, and 2.29 for GGT, quartile 1 through quartile 4; P for trend = 0.01). In contrast, ALT was no longer associated with MetS development after final adjustment for GGT (P for trend = 0.09).
CONCLUSIONS: Our study confirmed significant and independent associations of GGT and ALT with MetS in adult Chinese people. Moreover, GGT might be more effective for indicating the future development of MetS.
© 2011 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and Blackwell Publishing Asia Pty Ltd.

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Year:  2011        PMID: 21199427     DOI: 10.1111/j.1753-0407.2010.00111.x

Source DB:  PubMed          Journal:  J Diabetes        ISSN: 1753-0407            Impact factor:   4.006


  14 in total

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Journal:  Endocrine       Date:  2015-04-12       Impact factor: 3.633

Review 2.  Gamma-glutamyltransferase level and risk of hypertension: a systematic review and meta-analysis.

Authors:  Cun-Fei Liu; Yu-Ting Gu; Hai-Ya Wang; Ning-Yuan Fang
Journal:  PLoS One       Date:  2012-11-07       Impact factor: 3.240

3.  Alanine aminotransferase/aspartate aminotransferase ratio is the best surrogate marker for insulin resistance in non-obese Japanese adults.

Authors:  Ryuichi Kawamoto; Katsuhiko Kohara; Tomo Kusunoki; Yasuharu Tabara; Masanori Abe; Tetsuro Miki
Journal:  Cardiovasc Diabetol       Date:  2012-10-01       Impact factor: 9.951

4.  The relation of high fat diet, metabolic disturbances and brain oxidative dysfunction: modulation by hydroxy citric acid.

Authors:  Kamal A Amin; Hamdy H Kamel; Mohamed A Abd Eltawab
Journal:  Lipids Health Dis       Date:  2011-05-14       Impact factor: 3.876

5.  Sex influenced association of directly measured insulin sensitivity and serum transaminase levels: Why alanine aminotransferase only predicts cardiovascular risk in men?

Authors:  Barbara Buday; Peter Ferenc Pach; Botond Literati-Nagy; Marta Vitai; Gyorgyi Kovacs; Zsuzsa Vecsei; Laszlo Koranyi; Csaba Lengyel
Journal:  Cardiovasc Diabetol       Date:  2015-05-20       Impact factor: 9.951

6.  Association between γ-glutamyl transferase and metabolic syndrome: a cross-sectional study of an adult population in Beijing.

Authors:  Lixin Tao; Xia Li; Huiping Zhu; Yue Gao; Yanxia Luo; Wei Wang; Zhaoping Wang; Dongning Chen; Lijuan Wu; Xiuhua Guo
Journal:  Int J Environ Res Public Health       Date:  2013-10-29       Impact factor: 3.390

7.  Elevated alanine aminotransferase is strongly associated with incident metabolic syndrome: a meta-analysis of prospective studies.

Authors:  Zhengtao Liu; Shuping Que; Huaijun Ning; Linlin Wang; Tao Peng
Journal:  PLoS One       Date:  2013-12-04       Impact factor: 3.240

8.  Identification of cardiovascular risk components in urban Chinese with metabolic syndrome and application to coronary heart disease prediction: a longitudinal study.

Authors:  Zhenxin Zhu; Yanxun Liu; Chengqi Zhang; Zhongshang Yuan; Qian Zhang; Fang Tang; Haiyan Lin; Yongyuan Zhang; Longjian Liu; Fuzhong Xue
Journal:  PLoS One       Date:  2013-12-17       Impact factor: 3.240

9.  Combinational risk factors of metabolic syndrome identified by fuzzy neural network analysis of health-check data.

Authors:  Yasunori Ushida; Ryuji Kato; Kosuke Niwa; Daisuke Tanimura; Hideo Izawa; Kenji Yasui; Tomokazu Takase; Yasuko Yoshida; Mitsuo Kawase; Tsutomu Yoshida; Toyoaki Murohara; Hiroyuki Honda
Journal:  BMC Med Inform Decis Mak       Date:  2012-08-01       Impact factor: 2.796

10.  Pretreatment data is highly predictive of liver chemistry signals in clinical trials.

Authors:  Zhaohui Cai; Anders Bresell; Mark H Steinberg; Debra G Silberg; Stephen T Furlong
Journal:  Drug Des Devel Ther       Date:  2012-11-27       Impact factor: 4.162

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