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Publications

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Epublish 7 citations

PubMed: 30557306 DOI: 10.1371/journal.pone.0208905

Association and biomarker potential of elevated serum adiponectin with nephropathy among type 1 and type 2 diabetics: A meta-analysis.

PLoS One 13(12):e0208905

Authors: Noel Pabalan, Raphael Enrique Tiongco, Jefferyl Kae Pandac, Noemi Anne Paragas, Shamar Lo Lasta, Nelven Gallego, Hamdi Jarjanazi, Maria Ruth Pineda-Cortel

Affiliations

  • Center for Research and Development, Angeles University Foundation, Angeles City, Philippines.
  • Department of Medical Technology, College of Allied Medical Professions, Angeles University Foundation, Angeles City, Philippines.
  • Graduate School, University of Santo Tomas, Manila City, Philippines.
  • Graduate School, University of Santo Tomas, Manila City, Philippines. Institute of Clinical Laboratory Sciences, Silliman University, Dumaguete, Philippines.
  • Graduate School, University of Santo Tomas, Manila City, Philippines. Department of Medical Technology, Faculty of Pharmacy, University of Santo Tomas, Manila City, Philippines.
  • Environmental Monitoring and Reporting Branch, Ontario Ministry of the Environment and Climate Change, Toronto, Ontario, Canada.
  • Department of Medical Technology, Faculty of Pharmacy, University of Santo Tomas, Manila City, Philippines.
  • Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila City, Philippines.

Abstract

BACKGROUND

Managing nephropathy associated with diabetes mellitus warrant investigation of relevant biomarkers in predicting this condition. Adiponectin (ADP) may hold promise as a biomarker for diabetic nephropathy (DN). In this study, we examine associations of ADP with DN by meta-analyzing relevant literature. We also examined the predictive potential of ADP and estimate progression of DN.

METHODS

Multi-database literature searches and serial omissions of articles yielded 13 studies for inclusion in the meta-analysis. We compared ADP levels between controls/ normoalbuminuria and cases with micro- and macroalbuminuria (MI and MA, respectively) as well as MI versus MA using standardized mean differences (SMD). Associations of ADP with DN were indicated with the P-value considered significant at ≤ 0.05. Subgrouping was based on diabetes type (1 and 2). Predictive potential of ADP was explored with AUC (area under the curve) derived from Receiver Operating Characteristic curve analysis.

RESULTS AND CONCLUSION

At high P-values of <10-5, overall and subgroup outcomes indicated ADP associations with DN (up to SMD = 1.89-2.26, respectively). However, heterogeneity of the initial SMD effects (up to I2 = 99%) warranted examination of their sources which with the Galbraith plot method, either eliminated or reduced their heterogeneity, signifying combinability of the studies. This feature along with consistency of significant associations, robust outcomes and significant AUC values provide good evidence of the associative and predictive roles of ADP in DN.

MeSH

Biomarkers, Diabetes Mellitus, Serum, Adiponectin

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