Literature DB >> 17070421

Directly measured insulin resistance and the assessment of clustered cardiovascular risks in hypertension.

Ming-Wei Lin1, Chii-Min Hwu, Yung-Hsiang Huang, Wayne H-H Sheu, Kuang-Chung Shih, Fu-Tien Chiang, Richard Olshen, Yii-Der I Chen, J David Curb, Beatriz Rodriguez, Low-Tone Ho.   

Abstract

BACKGROUND: The purpose of the study was to use factor analysis to investigate the contribution of a directly measured insulin sensitivity index, steady-state plasma glucose (SSPG) from insulin suppression test (IST), to a clustering of cardiovascular risk factors in hypertensive subjects.
METHODS: A total of 204 nondiabetic hypertensive patients who received IST for SSPG were included for current analysis. Factor analysis was performed to explore the contribution of SSPG as additional information to a clustering of risk factors in these subjects.
RESULTS: In factor analysis, SSPG aggregated with metabolic variables in an obesity-hyperinsulinemia domain that included two factors: one with positive loadings for SSPG, 2-h glucose, and Log 2-h insulin; and the other with positive loadings for body mass index, waist circumference, and fasting glucose. Fasting insulin linked the two factors together and explained 38.3% of the total variance. Systolic and diastolic blood pressures were loaded on a blood pressure domain separately. The third domain consisted of two factors: one with positive loadings for Log triglycerides and negative loading for high-density lipoprotein cholesterol; and the other with positive loadings for Log triglycerides and non-high-density lipoprotein cholesterol. The model loaded without SSPG explained a proportion of the total variance (78.5%) similar to that achieved with the model loaded with SSPG (77.1%).
CONCLUSIONS: Directly measured insulin sensitivity index SSPG clustered with 2-h glucose and Log 2-h insulin in factor analysis in a cohort consisting entirely of hypertensive subjects. However, the contribution of SSPG as additional information to explain the total variance seems to be insignificant.

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Year:  2006        PMID: 17070421     DOI: 10.1016/j.amjhyper.2006.04.003

Source DB:  PubMed          Journal:  Am J Hypertens        ISSN: 0895-7061            Impact factor:   2.689


  5 in total

1.  The effects of the renin-angiotensin-aldosterone system gene polymorphisms on insulin resistance in hypertensive families.

Authors:  Chin-Fu Hsiao; Wayne W H Sheu; Yi-Jen Hung; Ming-Wei Lin; David Curb; Koustubh Ranadex; Thomas Quertermous; Yue-Ming Chen; Ida Yi-Der Chen; Kwan-Dun Wu
Journal:  J Renin Angiotensin Aldosterone Syst       Date:  2012-03-14       Impact factor: 1.636

2.  Diagnosis of insulin resistance in hypertensive patients by the metabolic syndrome: AHA vs. IDF definitions.

Authors:  C-M Hwu; C A Hsiung; K-D Wu; W-J Lee; K-C Shih; J Grove; Y-D I Chen; B L Rodriguez; J D Curb
Journal:  Int J Clin Pract       Date:  2008-06-28       Impact factor: 2.503

3.  Metabolic syndrome and renal injury.

Authors:  Yi-Jing Sheen; Wayne Huey-Herng Sheu
Journal:  Cardiol Res Pract       Date:  2011-03-13       Impact factor: 1.866

4.  Evidence in obese children: contribution of hyperlipidemia, obesity-inflammation, and insulin sensitivity.

Authors:  Chi-Jen Chang; Deng-Yuan Jian; Ming-Wei Lin; Jun-Zhi Zhao; Low-Tone Ho; Chi-Chang Juan
Journal:  PLoS One       Date:  2015-05-26       Impact factor: 3.240

5.  Circulating levels of DDIT4 and mTOR, and contributions of BMI, inflammation and insulin sensitivity in hyperlipidemia.

Authors:  Xinyan Pan; Zhimei Zhang; Chunqiao Liu; Ming Zhao; Xing Wang; Junqing Zhai; Chao Wang; Guangyao Song
Journal:  Exp Ther Med       Date:  2022-09-08       Impact factor: 2.751

  5 in total

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