Literature DB >> 16116494

Myocardial collagen turnover in normotensive obese patients: relation to insulin resistance.

D Quilliot1, F Alla, P Böhme, J-F Bruntz, M Hammadi, B Dousset, O Ziegler, F Zannad.   

Abstract

OBJECTIVES: The present study was undertaken to assess the differential impact of insulin resistance, leptin and body composition on myocardial mass and serum markers of cardiac fibrosis in obese subjects, within a small range of elevated BMI (30-40 kg/m(2)), without pulmonary disease, cardiovascular disease, hypertension, cardiac hypertrophy or other cardiovascular disease.
BACKGROUND: Obesity is an independent predictor of left ventricular mass (LVM) and is associated with disturbances in cardiac structure. The extent of the interstitial fibrosis in obese patients is not known, especially in the absence of cardiac hypertrophy. METHODS AND
RESULTS: We included 160 obese subjects. The LVM was obtained using the Devereux formula. Body composition was estimated from a total body scan. Insulin sensitivity was assessed by homeostasis model assessment (HOMA), and cardiac collagen turnover by measurement of procollagen type III aminopeptide (PIIINP). PIIINP was correlated to the E/A ratio (r=0.24; P=0.012), a marker of ventricular function. PIIINP was independently correlated with glucose concentration (r=0.27; P=0.004), indexes of insulin resistance (HOMA (r=0.27; P=0.003), insulin (r=0.24; P=0.008)), and parameters associated with the insulin-resistance syndrome (HDL-cholesterol r=-0.27; P=0.004) and fat trunk/fat leg ratio (r=0.24; P=0.053)). The variable most correlated with PIIINP was HDL-cholesterol, followed by HOMA (r (2)=0.13). When HOMA was substituted for blood glucose concentration and insulinemia (Model 2), HDL-cholesterol was strongly related to lower PIIINP levels, followed by higher glucose concentration (r (2)=0.21). Regression analyses showed that LVM had the strongest independent positive correlation with fat-free mass (FFM) (r=0.39; P=0.0002), followed by systolic blood pressure (r=0.19; P=0.034). Neither adipose mass nor height independently added information to multivariate models. The ratio leptin/fat mass was correlated with LVM (r=-0.27; P=0.004), but not independently of the FFM. Markers for fibrosis were not significantly correlated with LVM. As a result, FFM was the most predictive factor of LVM in obese subjects.
CONCLUSION: We found that serum levels of markers of cardiac collagen synthesis were significantly associated with insulin resistance in normotensive, nondiabetic obese subjects, and not related to the LVM. As a result, PIIINP could be a very early marker of ventricular dysfunction in these patients. Furthermore, we suggest that, for better detection of left ventricle hypertrophy in obese subjects, LVM should be indexed to FFM rather than to body surface area, or height.

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Year:  2005        PMID: 16116494     DOI: 10.1038/sj.ijo.0803022

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  25 in total

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2.  Collagen biomarker bioprofiles predicting the antifibrotic response to eplerenone in myocardial infarction: findings from the REMINDER trial.

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3.  Obesity and sleep apnea are independently associated with adverse left ventricular remodeling and clinical outcome in patients with atrial fibrillation and preserved ventricular function.

Authors:  Ravi V Shah; Siddique A Abbasi; Bobak Heydari; Hoshang Farhad; John A Dodson; Jessie P Bakker; Roy M John; Aristidis Veves; Atul Malhotra; Ron Blankstein; Michael Jerosch-Herold; Raymond Y Kwong; Tomas G Neilan
Journal:  Am Heart J       Date:  2014-01-15       Impact factor: 4.749

4.  Associations between metabolic dysregulation and circulating biomarkers of fibrosis: the Cardiovascular Health Study.

Authors:  Isha Agarwal; Nicole L Glazer; Eddy Barasch; Luc Djousse; John S Gottdiener; Joachim H Ix; Jorge R Kizer; Eric B Rimm; David S Siscovick; George L King; Ken J Mukamal
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5.  Obesity and preclinical changes of cardiac geometry and function.

Authors:  Joong Kyung Sung; Jang-Young Kim
Journal:  Korean Circ J       Date:  2010-02-23       Impact factor: 3.243

6.  Effect of eplerenone on extracellular cardiac matrix biomarkers in patients with acute ST-elevation myocardial infarction without heart failure: insights from the randomized double-blind REMINDER Study.

Authors:  João Pedro Ferreira; Kévin Duarte; Gilles Montalescot; Bertram Pitt; Esteban Lopez de Sa; Christian W Hamm; Marcus Flather; Freek Verheugt; Harry Shi; Eva Turgonyi; Miguel Orri; Patrick Rossignol; John Vincent; Faiez Zannad
Journal:  Clin Res Cardiol       Date:  2017-08-29       Impact factor: 5.460

7.  Fibrosis-related biomarkers and incident cardiovascular disease in older adults: the cardiovascular health study.

Authors:  Isha Agarwal; Nicole L Glazer; Eddy Barasch; Mary L Biggs; Luc Djousse; Annette L Fitzpatrick; John S Gottdiener; Joachim H Ix; Jorge R Kizer; Eric B Rimm; David S Sicovick; Russell P Tracy; Kenneth J Mukamal
Journal:  Circ Arrhythm Electrophysiol       Date:  2014-06-24

Review 8.  Extracellular matrix fibrotic markers in heart failure.

Authors:  Faiez Zannad; Patrick Rossignol; Wafae Iraqi
Journal:  Heart Fail Rev       Date:  2010-07       Impact factor: 4.214

9.  Weight loss and progressive left ventricular remodelling: The Multi-Ethnic Study of Atherosclerosis (MESA).

Authors:  Ravi V Shah; Venkatesh L Murthy; Siddique A Abbasi; John Eng; Colin Wu; Pamela Ouyang; Raymond Y Kwong; Allison Goldfine; David A Bluemke; Joao Lima; Michael Jerosch-Herold
Journal:  Eur J Prev Cardiol       Date:  2014-07-09       Impact factor: 7.804

10.  Clinical and echocardiographic correlates of plasma procollagen type III amino-terminal peptide levels in the community.

Authors:  Thomas J Wang; Martin G Larson; Emelia J Benjamin; Deborah A Siwik; Radwan Safa; Chao-Yu Guo; Diane Corey; Johan Sundstrom; Douglas B Sawyer; Wilson S Colucci; Ramachandran S Vasan
Journal:  Am Heart J       Date:  2007-08       Impact factor: 4.749

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