Journal of Renal Nutrition
Volume 19, Issue 5 , Pages 357-364, September 2009

Relationship Between Adiposity and Cardiovascular Risk Factors in Prevalent Hemodialysis Patients

  • George A. Kaysen, MD, PhD, FASN

      Affiliations

    • Renal Research Institute, New York, New York
    • Division of Nephrology, Department of Medicine and Department of Biochemistry and Molecular Medicine, University of California at Davis, Davis, California
    • Research Service, Veterans Administration Northern California Health Care System, Mather, California
    • Corresponding Author InformationAddress reprint requests to George A. Kaysen, MD, PhD, FASN, Division of Nephrology, Department of Medicine, University of California at Davis, One Shields Ave., Genome and Biomedical Sciences Facility 451 Health Sciences Dr., Davis, CA 95616.
  • ,
  • Peter Kotanko

      Affiliations

    • Renal Research Institute, New York, New York
    • Krankenhaus der Barmherzigen Brueder, Graz, Austria
  • ,
  • Fansan Zhu, MS

      Affiliations

    • Renal Research Institute, New York, New York
  • ,
  • Shubho R. Sarkar, MD, FASN

      Affiliations

    • Renal Research Institute, New York, New York
    • Department of Medicine, Weil Cornell Medical Center, New York, New York
  • ,
  • Steven B. Heymsfield, MD

      Affiliations

    • Department of Internal Medicine, New York Obesity Research Center, St. Luke's Hospital, New York, New York
  • ,
  • Martin K. Kuhlmann, MD

      Affiliations

    • Renal Research Institute, New York, New York
  • ,
  • Tjien Dwyer

      Affiliations

    • Division of Nephrology, Department of Medicine and Department of Biochemistry and Molecular Medicine, University of California at Davis, Davis, California
  • ,
  • Len Usvyat, MCP

      Affiliations

    • Renal Research Institute, New York, New York
  • ,
  • Peter Havel, DVM, PhD

      Affiliations

    • Department of Molecular Biosciences, School of Veterinary Medicine, and Department of Nutrition, University of California at Davis, Davis, California
  • ,
  • Nathan W. Levin, MD, FASN

      Affiliations

    • Renal Research Institute, New York, New York

published online 13 July 2009.

Objective

Increased body mass index (BMI) is associated with reduced all-cause and cardiovascular (CV) mortality in hemodialysis (HD) patients, whereas CV risk increases with BMI in the general population. In the general population, obesity is associated with inflammation, decreased high-density lipoprotein (HDL) cholesterol, increased low-density lipoprotein (LDL) cholesterol, and triglycerides (TGs), all risk factors for CV disease. Low-density lipoprotein cholesterol does not predict CV risk in HD, whereas increased C-reactive protein and interleukin-6 (IL-6), low HDL and apolipoprotein (apo) AI, and increased fasting TGs do predict risk. Renal failure is associated with dyslipidemia and inflammation in normal-weight patients. We hypothesized that the effects of obesity may be obscured by renal failure in HD.

Methods

We explored the relationship between adipose tissue pools and distribution, i.e., subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) (measured by magnetic resonance imaging) and measures of inflammation (C-reactive protein, IL-6, ceruloplasmin, and α1 acid glycoprotein), HDL and LDL cholesterol, total TGs, apo AI, apo B, apo CII (an activator of lipoprotein lipase), apo CIII (an inhibitor of lipoprotein lipase), and the adipokines, leptin and adiponectin, in 48 patients with prevalent HD.

Results and Conclusions

Total TG concentrations were positively correlated with VAT controlled for age, sex, and weight. Both apo CII and apo CIII were correlated only with VAT. Adiponectin was inversely correlated with VAT, and leptin was positively associated with SAT. C-reactive protein and α1 acid glycoprotein were weakly associated with SAT, whereas ceruloplasmin was strongly associated with VAT according to multiple regression analysis. In contrast, apo B, LDL, apo AI, HDL, and IL-6 were not correlated with any measure of body composition, potentially mitigating the effects of obesity in HD.

 

PII: S1051-2276(09)00101-0

doi:10.1053/j.jrn.2009.04.002

Journal of Renal Nutrition
Volume 19, Issue 5 , Pages 357-364, September 2009