CoChat
Sign Up
Cited by 61Cardiac Fibrosis and RemodelingCardiovascular Function and Risk FactorsCardiovascular Disease and Adiposity

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

Quilliot, D, Alla, F, Böhme, P, Bruntz, J-F, Hammadi, M, Dousset, B, Ziegler, O, Zannad, F·2005·International Journal of Obesity
DOI 10.1038/sj.ijo.0803022
Open this paper in CoChat — free account

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.

Integrity signals

Registry

Crossref · 10.1038/sj.ijo.0803022

Cites

71 of 71 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Serum markers thought to reflect cardiac collagen turnover are increased in obese subjects.

    “In contrast, Quilliot et al. (288) reported that serum markers thought to reflect cardiac collagen turnover were increased in obese subjects.”

    From Cardiac remodeling in obesity (2008) · cites this paper as [288]

  • Serum markers thought to reflect cardiac collagen turnover have been shown to be elevated in obese subjects.

    “Serum markers thought to reflect cardiac collagen turnover have been shown to be elevated in obese subjects (288).”

    From Cardiac remodeling in obesity (2008) · cites this paper as [288]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
Quilliot, D., Alla, F., Böhme, P., Bruntz, J.-F., Hammadi, M., Dousset, B., Ziegler, O., & Zannad, F.
Affiliations
  • Centre Hospitalier Régional et Universitaire de Nancy (FR)
  • Inserm (FR)
Corresponding author
Quilliot, D
ORCID
Venue
International Journal of Obesity
Publisher
Springer Science and Business Media LLC
Published
2005-08-23
Volume
29
Issue
11
Pages
1321-1328
ISSN
  • 0307-0565 (ISSN-L)
  • 1476-5497
DOI
10.1038/sj.ijo.0803022
OpenAlex
W1998667812
Semantic Scholar
edfc27365af503fd43cf27c978d74d5d9923f12a
Cited by
61
References
71
Citations by year
2026: 1 · 2025: 2 · 2022: 4 · 2021: 2 · 2020: 2 · 2019: 8 · 2018: 4 · 2017: 3 · 2016: 1 · 2015: 4 · 2014: 8 · 2013: 3 · 2012: 3
FWCI
1.13
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
  • International Journal of Obesity (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Fibrosis and Remodeling
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Function and Risk Factors
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
Keywords
myocardial fibrosis, insulin resistance, obesity, left ventricular mass, leptin, body composition, fat-free mass, HDL cholesterol, insulin sensitivity, E/A ratio, ventricular function, metabolic syndrome, adiposity markers, systolic blood pressure, cardiac hypertrophy
MeSH terms
Adult, Blood Glucose, Blood Pressure, Body Composition, Collagen, Female, Heart Ventricles, Humans, Insulin, Insulin Resistance, Cholesterol, HDL, Male, Middle Aged, Myocardium, Obesity, Peptide Fragments, Procollagen, Biomarkers, Linear Models, Leptin

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review