Cynthia Delgado1, Glenn M Chertow2, George A Kaysen3, Lorien S Dalrymple4, John Kornak5, Barbara Grimes5, Kirsten L Johansen6. 1. Division of Nephrology, University of California, San Francisco, CA; Nephrology Section, San Francisco VA Medical Center, San Francisco, CA. Electronic address: cynthia.delgado@ucsf.edu. 2. Division of Nephrology, Stanford University School of Medicine, Stanford, CA; US Renal Data System Nutrition Special Studies Center, Ann Arbor, MI. 3. US Renal Data System Nutrition Special Studies Center, Ann Arbor, MI; Department of Medicine, Division of Nephrology, University of California, Davis, CA; Department of Biochemistry and Molecular Medicine, University of California, Davis, CA. 4. Fresenius Medical Care North America, Waltham, MA. 5. US Renal Data System Nutrition Special Studies Center, Ann Arbor, MI; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA. 6. Division of Nephrology, University of California, San Francisco, CA; Nephrology Section, San Francisco VA Medical Center, San Francisco, CA; US Renal Data System Nutrition Special Studies Center, Ann Arbor, MI.
Abstract
BACKGROUND: Understanding the extent to which visceral and subcutaneous body fat are associated with markers of nutrition and inflammation in patients on dialysis therapy could shed light on the obesity paradox and the biology of subcutaneous fat. STUDY DESIGN: Cross-sectional. SETTING & PARTICIPANTS: 609 adults receiving hemodialysis who participated in the ACTIVE/ADIPOSE Study. PREDICTORS: Body mass index (BMI), waist circumference, and bioelectrical impedance spectroscopy-derived estimates of percent body fat. OUTCOMES: C-Reactive protein (CRP), interleukin 6 (IL-6), prealbumin, albumin, leptin, and adiponectin concentrations. MEASUREMENTS: We performed linear regression analyses to examine the extent to which proxies of visceral and subcutaneous fat were associated with inflammation, nutrition, and adiposity-related hormones. RESULTS: BMI was directly associated with markers of inflammation (standardized estimate for ln[CRP in mg/L]: 0.30 [95% CI, 0.22-0.38] per 10kg/m2; for ln[IL-6 in pg/mL]: 0.10 [95% CI, 0.02-0.18] per 10kg/m2), but was not associated with markers of nutrition. BMI was also inversely associated with adiponectin and directly associated with leptin. With waist circumference and percent body fat (as a proxy of visceral and subcutaneous fat, respectively) modeled together, waist circumference was associated with markers of inflammation (standardized estimate for ln[CRP in mg/L]: 0.21 [95% CI, 0.09-0.34] per 10cm; for ln[IL-6 in pg/mL]: 0.18 [95% CI, 0.07-0.29] per 10cm), whereas percent body fat was not associated with CRP (standardized estimate for ln[CRP in mg/L]: 0.03 [95% CI, -0.10 to 0.15] per 1%) and was inversely associated with IL-6 (standardized estimate for ln[IL-6 in pg/mL]: -0.15 [95% CI, -0.27 to -0.02] per 1%). In addition, waist circumference was inversely associated with prealbumin and albumin (standardized estimates of -0.12 [95% CI, -0.23 to -0.02] mg/dL per 10cm and -0.17 [95% CI, -0.28 to -0.06] g/dL per 10cm, respectively), and percent body fat was directly associated with prealbumin and albumin (0.20 [95% CI, 0.07-0.32] mg/dL and 0.15 [95% CI, 0.02-0.28] g/dL per 1%, respectively). Higher waist circumference was associated indirectly with adiponectin and directly with leptin concentrations. LIMITATIONS: Although the observed associations implicate visceral fat as the cause of inflammation, it cannot be determined in this cross-sectional study. CONCLUSIONS: Proxies of visceral and subcutaneous fat appear to have opposing associations with biomarkers of inflammation and nutrition. Subcutaneous fat may be an indicator of nutritional status, and visceral fat, an indicator of inflammation. Published by Elsevier Inc.
BACKGROUND: Understanding the extent to which visceral and subcutaneous body fat are associated with markers of nutrition and inflammation in patients on dialysis therapy could shed light on the obesity paradox and the biology of subcutaneous fat. STUDY DESIGN: Cross-sectional. SETTING & PARTICIPANTS: 609 adults receiving hemodialysis who participated in the ACTIVE/ADIPOSE Study. PREDICTORS: Body mass index (BMI), waist circumference, and bioelectrical impedance spectroscopy-derived estimates of percent body fat. OUTCOMES: C-Reactive protein (CRP), interleukin 6 (IL-6), prealbumin, albumin, leptin, and adiponectin concentrations. MEASUREMENTS: We performed linear regression analyses to examine the extent to which proxies of visceral and subcutaneous fat were associated with inflammation, nutrition, and adiposity-related hormones. RESULTS: BMI was directly associated with markers of inflammation (standardized estimate for ln[CRP in mg/L]: 0.30 [95% CI, 0.22-0.38] per 10kg/m2; for ln[IL-6 in pg/mL]: 0.10 [95% CI, 0.02-0.18] per 10kg/m2), but was not associated with markers of nutrition. BMI was also inversely associated with adiponectin and directly associated with leptin. With waist circumference and percent body fat (as a proxy of visceral and subcutaneous fat, respectively) modeled together, waist circumference was associated with markers of inflammation (standardized estimate for ln[CRP in mg/L]: 0.21 [95% CI, 0.09-0.34] per 10cm; for ln[IL-6 in pg/mL]: 0.18 [95% CI, 0.07-0.29] per 10cm), whereas percent body fat was not associated with CRP (standardized estimate for ln[CRP in mg/L]: 0.03 [95% CI, -0.10 to 0.15] per 1%) and was inversely associated with IL-6 (standardized estimate for ln[IL-6 in pg/mL]: -0.15 [95% CI, -0.27 to -0.02] per 1%). In addition, waist circumference was inversely associated with prealbumin and albumin (standardized estimates of -0.12 [95% CI, -0.23 to -0.02] mg/dL per 10cm and -0.17 [95% CI, -0.28 to -0.06] g/dL per 10cm, respectively), and percent body fat was directly associated with prealbumin and albumin (0.20 [95% CI, 0.07-0.32] mg/dL and 0.15 [95% CI, 0.02-0.28] g/dL per 1%, respectively). Higher waist circumference was associated indirectly with adiponectin and directly with leptin concentrations. LIMITATIONS: Although the observed associations implicate visceral fat as the cause of inflammation, it cannot be determined in this cross-sectional study. CONCLUSIONS: Proxies of visceral and subcutaneous fat appear to have opposing associations with biomarkers of inflammation and nutrition. Subcutaneous fat may be an indicator of nutritional status, and visceral fat, an indicator of inflammation. Published by Elsevier Inc.
Entities:
Keywords:
C-reactive protein (CRP); End-stage renal disease (ESRD); adiposity; body composition; body fat; body mass index (BMI); hemodialysis; inflammation; interleukin 6 (IL-6); nutrition; obesity; obesity paradox; subcutaneous fat; visceral fat; waist circumference
Authors: Chang Seong Kim; Kyung-Do Han; Hong Sang Choi; Eun Hui Bae; Seong Kwon Ma; Soo Wan Kim Journal: J Clin Med Date: 2020-04-29 Impact factor: 4.241