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Abstract
Obesity is characterized by the accumulation of adipose tissue in different body compartments. Whether adipose tissue directly affects kidney function is still unknown. We aimed to investigate the role of the adipose tissue and circulating creatinine, cystatin C and kidney function in subjects free of cardio-renal diseases. In the KORA-MRI population-based study, 377 subjects (mean age 56.2 ± 9.2 years; 41.6% female) underwent whole-body 3T-MRI examination. Adipose tissue defined as visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were quantified from T1-DIXON sequence using a semi-automatic algorithm. Serum creatinine and cystatin C were measured using standard laboratory and estimated glomerular filtration rate (e-GFR) was performed based on creatinine (e-GFRcrea), cystatin C (e-GFRcys) and creatinine-cystatin C (e-GFRcc). Linear regression analysis, adjusted for risk factors, was used to investigate the relationship between adipose tissue and circulating creatinine, cystatin C, and kidney function. In multivariate analyses VAT was inversely associated with eGFRcys (ß = − 4.88, p = < 0.001), and positively associated with serum cystatin C (ß = 0.05, p = < 0.001), respectively. No association was found between other adipose parameters such as total adipose tissue (TAT) and subcutaneous adipose tissue (SAT) and serum creatinine, urine microalbumin and eGFRcrea. Stratified analyses according to BMI revealed confirmatory results for category of BMI > 30. VAT is positively associated with serum cystatin C and inversely with eGFR based on cystatin C, suggesting a direct involvement of visceral adipose tissue in increased metabolism of cystatin C and consequently decreased kidney function.
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1 University of Freiburg, Department of Diagnostic and Interventional Radiology, Faculty of Medicine Freiburg, Medical Center, Universitätsklinikum Freiburg, Freiburg, Germany (GRID:grid.5963.9)
2 Ludwig-Maximilians-University Hospital, Department of Radiology, Munich, Germany (GRID:grid.411095.8) (ISNI:0000 0004 0477 2585)
3 Ludwig-Maximilians-Universität München, Chair of Epidemiology, Medical Faculty, Institute for Medical Information Processing, Biometry and Epidemiology, Munich, Germany (GRID:grid.5252.0) (ISNI:0000 0004 1936 973X); Helmholtz Zentrum München, Institute of Epidemiology, German Research Center for Environmental Health, Neuherberg, Germany (GRID:grid.4567.0) (ISNI:0000 0004 0483 2525); Partner Site Munich Heart Alliance, German Center for Cardiovascular Research (DZHK), Munchen, Germany (GRID:grid.452396.f) (ISNI:0000 0004 5937 5237)
4 Helmholtz Zentrum München, Institute of Epidemiology, German Research Center for Environmental Health, Neuherberg, Germany (GRID:grid.4567.0) (ISNI:0000 0004 0483 2525)
5 Ludwig-Maximilians-Universität München, Chair of Epidemiology, Medical Faculty, Institute for Medical Information Processing, Biometry and Epidemiology, Munich, Germany (GRID:grid.5252.0) (ISNI:0000 0004 1936 973X); Helmholtz Zentrum München, Institute of Epidemiology, German Research Center for Environmental Health, Neuherberg, Germany (GRID:grid.4567.0) (ISNI:0000 0004 0483 2525); Partner Site Munich Heart Alliance, German Center for Cardiovascular Research (DZHK), Munchen, Germany (GRID:grid.452396.f) (ISNI:0000 0004 5937 5237); München-Neuherberg, German Center for Diabetes Research, Neuherberg, Germany (GRID:grid.452622.5)
6 University of Freiburg, Department of Diagnostic and Interventional Radiology, Faculty of Medicine Freiburg, Medical Center, Universitätsklinikum Freiburg, Freiburg, Germany (GRID:grid.5963.9); Huisartsenpraktijk, General Practice, Aalst, Belgium (GRID:grid.5963.9)