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Renal function is independently associated with circulating betatrophin

OBJECTIVE: Betatrophin has been identified as a marker linking liver with beta cell function and lipid metabolism in murine models. Until now, the regulation of circulating betatrophin in humans is not entirely clear. We here analyzed the relation of betatrophin levels to phenotypes of the metabolic...

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Autores principales: Maurer, Lukas, Schwarz, Franziska, Fischer-Rosinsky, Antje, Schlueter, Nina, Brachs, Sebastian, Möhlig, Matthias, Pfeiffer, Andreas, Mai, Knut, Spranger, Joachim, Bobbert, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336269/
https://www.ncbi.nlm.nih.gov/pubmed/28257453
http://dx.doi.org/10.1371/journal.pone.0173197
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author Maurer, Lukas
Schwarz, Franziska
Fischer-Rosinsky, Antje
Schlueter, Nina
Brachs, Sebastian
Möhlig, Matthias
Pfeiffer, Andreas
Mai, Knut
Spranger, Joachim
Bobbert, Thomas
author_facet Maurer, Lukas
Schwarz, Franziska
Fischer-Rosinsky, Antje
Schlueter, Nina
Brachs, Sebastian
Möhlig, Matthias
Pfeiffer, Andreas
Mai, Knut
Spranger, Joachim
Bobbert, Thomas
author_sort Maurer, Lukas
collection PubMed
description OBJECTIVE: Betatrophin has been identified as a marker linking liver with beta cell function and lipid metabolism in murine models. Until now, the regulation of circulating betatrophin in humans is not entirely clear. We here analyzed the relation of betatrophin levels to phenotypes of the metabolic syndrome and speculated that renal function might influence circulating betatrophin levels and explain age-dependent changes of betatrophin. SUBJECTS: We analyzed blood samples from 535 individuals participating in the Metabolic Syndrome Berlin Potsdam study. RESULTS: In a crude analysis we found a positive correlation between betatrophin levels and HbA1c (r = 0.24; p < 0.001), fasting glucose (r = 0.20; p < 0.001) and triglycerides (r = 0.12; p = 0.007). Furthermore betatrophin was positively correlated with age (r = 0.47; p <0.001), systolic blood pressure (r = 0.17; p < 0.001), intima media thickness (r = 0.26; p < 0.001) and negatively correlated with CKD-EPI eGFR (r = -0.33; p < 0.001) as an estimate of renal function. Notably, eGFR remained highly associated with betatrophin after adjustment for age, waist circumference, gender, HbA1c and lipid parameters in a multivariate linear regression model (β = -0.197, p< 0.001). CONCLUSIONS: Our data suggest that circulating levels of betatrophin depend on age, gender, waist circumference, total/HDL cholesterol ratio and renal function. Especially the association to eGFR highlights the importance for future studies to address renal function as possible influence on betatrophin regulation and consider eGFR as potential confounder when analyzing the role of betatrophin in humans.
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spelling pubmed-53362692017-03-10 Renal function is independently associated with circulating betatrophin Maurer, Lukas Schwarz, Franziska Fischer-Rosinsky, Antje Schlueter, Nina Brachs, Sebastian Möhlig, Matthias Pfeiffer, Andreas Mai, Knut Spranger, Joachim Bobbert, Thomas PLoS One Research Article OBJECTIVE: Betatrophin has been identified as a marker linking liver with beta cell function and lipid metabolism in murine models. Until now, the regulation of circulating betatrophin in humans is not entirely clear. We here analyzed the relation of betatrophin levels to phenotypes of the metabolic syndrome and speculated that renal function might influence circulating betatrophin levels and explain age-dependent changes of betatrophin. SUBJECTS: We analyzed blood samples from 535 individuals participating in the Metabolic Syndrome Berlin Potsdam study. RESULTS: In a crude analysis we found a positive correlation between betatrophin levels and HbA1c (r = 0.24; p < 0.001), fasting glucose (r = 0.20; p < 0.001) and triglycerides (r = 0.12; p = 0.007). Furthermore betatrophin was positively correlated with age (r = 0.47; p <0.001), systolic blood pressure (r = 0.17; p < 0.001), intima media thickness (r = 0.26; p < 0.001) and negatively correlated with CKD-EPI eGFR (r = -0.33; p < 0.001) as an estimate of renal function. Notably, eGFR remained highly associated with betatrophin after adjustment for age, waist circumference, gender, HbA1c and lipid parameters in a multivariate linear regression model (β = -0.197, p< 0.001). CONCLUSIONS: Our data suggest that circulating levels of betatrophin depend on age, gender, waist circumference, total/HDL cholesterol ratio and renal function. Especially the association to eGFR highlights the importance for future studies to address renal function as possible influence on betatrophin regulation and consider eGFR as potential confounder when analyzing the role of betatrophin in humans. Public Library of Science 2017-03-03 /pmc/articles/PMC5336269/ /pubmed/28257453 http://dx.doi.org/10.1371/journal.pone.0173197 Text en © 2017 Maurer et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Maurer, Lukas
Schwarz, Franziska
Fischer-Rosinsky, Antje
Schlueter, Nina
Brachs, Sebastian
Möhlig, Matthias
Pfeiffer, Andreas
Mai, Knut
Spranger, Joachim
Bobbert, Thomas
Renal function is independently associated with circulating betatrophin
title Renal function is independently associated with circulating betatrophin
title_full Renal function is independently associated with circulating betatrophin
title_fullStr Renal function is independently associated with circulating betatrophin
title_full_unstemmed Renal function is independently associated with circulating betatrophin
title_short Renal function is independently associated with circulating betatrophin
title_sort renal function is independently associated with circulating betatrophin
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336269/
https://www.ncbi.nlm.nih.gov/pubmed/28257453
http://dx.doi.org/10.1371/journal.pone.0173197
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