Journal of Nephrology

, Volume 27, Issue 4, pp 371–376

Metabolic syndrome and nephrolithiasis: a systematic review and meta-analysis of the scientific evidence

  • Domenico Rendina
  • Gianpaolo De Filippo
  • Lanfranco D’Elia
  • Pasquale Strazzullo
Review

DOI: 10.1007/s40620-014-0085-9

Cite this article as:
Rendina, D., De Filippo, G., D’Elia, L. et al. J Nephrol (2014) 27: 371. doi:10.1007/s40620-014-0085-9
  • 437 Downloads

Abstract

The metabolic syndrome is a cluster of cardiometabolic alterations at least partly dependent on reduced insulin sensitivity and hyperinsulinemia that can have several renal implications. A systematic review and meta-analysis of studies available in the international literature in English language demonstrates that the metabolic syndrome occurrence is associated with a significantly higher prevalence of nephrolithiasis (odds ratio 1.29, 95 % confidence intervals: 1.11–1.51). The pathophysiological bases of this association are currently not completely understood, however. Potential pathogenetic links between the two conditions include metabolic factors that promote insulin resistance as well as stone formation in urine, environmental factors such as diet, oxidative stress and inflammation, and molecular changes impacting the transport of some analytes in urine. Metabolic syndrome-related nephrolithiasis shows peculiar clinical and biochemical characteristics and should be considered a multifactorial systemic disorder needing a multidisciplinary approach for adequate prevention and management in pediatric and adult age.

Keywords

Nephrolithiasis Metabolic syndrome Dietary habits Adult age Children 

Copyright information

© Italian Society of Nephrology 2014

Authors and Affiliations

  • Domenico Rendina
    • 1
  • Gianpaolo De Filippo
    • 1
  • Lanfranco D’Elia
    • 1
  • Pasquale Strazzullo
    • 1
    • 2
  1. 1.Department of Medicine and SurgeryFederico II UniversityNaplesItaly
  2. 2.Department of Medicine and SurgeryFederico II University Medical SchoolNaplesItaly

Personalised recommendations