ArticleEuropean journal of nutrition2015
Can the use of blood-based biomarkers in addition to anthropometric indices substantially improve the prediction of visceral fat volume as measured by magnetic resonance imaging?
Article in European journal of nutrition, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A validated estimate of visceral adipose tissue volume in relation to cancer risk.Journal of the National Cancer Institute · 2024Article
- Metabolomics profiling of visceral and abdominal subcutaneous adipose tissue in colorectal cancer patients: results from the ColoCare study.Cancer causes & control : CCC · 2020Article
- Circulating Biomarker Score for Visceral Fat and Risks of Incident Colorectal and Postmenopausal Breast Cancer: The Multiethnic Cohort Adiposity Phenotype Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020Observational
- Metabolomics: a search for biomarkers of visceral fat and liver fat content.Metabolomics : Official journal of the Metabolomic Society · 2019Article
- Contribution of genetics to visceral adiposity and its relation to cardiovascular and metabolic disease.Nature medicine · 2019Article
- Body and liver fat content and adipokines in schizophrenia: a magnetic resonance imaging and spectroscopy study.Psychopharmacology · 2017Article
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Authors and funding
9 authors.
Funding
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Abstract
purposeTo investigate whether blood-based biomarkers can improve the prediction of visceral fat volume as measured by magnetic resonance imaging (MRI) and thus be used as proxies of visceral adiposity in large-scale epidemiological studies.
methodsWhole-body MRI was performed to determine overall and regional body compartments in 542 participants aged 48-80 years (52% men) of the Heidelberg cohort of the European Prospective Investigation into Cancer and Nutrition. Anthropometric measures were taken, and clinical chemistry profiles including 15 routine biomarkers were obtained. Furthermore, nine novel biomarkers of visceral fat were assayed in a discovery sample of 100 participants. Multivariable regression models were calculated to assess associations between anthropometric variables, biomarkers, and visceral fat volume.
resultsThe proportion of variance in visceral fat volume explained by anthropometric measures was 65.2% in women and 60.8% in men. By using blood-based biomarkers in addition to anthropometric indices, the variance in visceral fat volume explained could be increased by 4.8% in women and 4.0% in men. After backward selection, HbA1c, triglycerides, and adiponectin remained in the final multivariable regression model in women, while in men hsCRP, leukocytes, AST (GOT), GGT, LDL, and adiponectin remained in the final model.
conclusionsIn the present study, blood-based biomarkers moderately improved the prediction of visceral fat volume. This finding suggests that the underestimation of true associations between visceral fat and disease outcomes in epidemiological studies remains critical, even when using comprehensive sets of anthropometric and biomarker variables as proxies of visceral adiposity.
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