PMID- 28219345 OWN - NLM STAT- MEDLINE DCOM- 20171121 LR - 20220310 IS - 1471-2369 (Electronic) IS - 1471-2369 (Linking) VI - 18 IP - 1 DP - 2017 Feb 20 TI - Biomarkers for the detection of renal fibrosis and prediction of renal outcomes: a systematic review. PG - 72 LID - 10.1186/s12882-017-0490-0 [doi] LID - 72 AB - BACKGROUND: Fibrosis is the unifying pathway leading to chronic kidney disease. Identifying biomarkers of fibrosis may help predict disease progression. METHODS: We performed a systematic review to evaluate the reliability of blood and urine biomarkers in identifying fibrosis on biopsy as well as predicting renal outcomes. Using MEDLINE and EMBASE, a two-stage search strategy was implemented. Stage I identified a library of biomarkers correlating with fibrosis on biopsy. Stage II evaluated the association between biomarkers identified in stage I, and renal outcomes. Only biomarkers with moderate positive correlation with fibrosis (r > 0.40) or acceptable area under the curve (AUC >0.65) advanced to stage II. RESULTS: Stage I identified 17 studies and 14 biomarkers. Five biomarkers met criteria to advance to stage II, but only three were independently associated with renal outcomes. Transforming growth factor beta (TGF-beta) correlated with fibrosis (r = 0.60), and was associated with 1.7-3.9 times the risk of worsening renal function in 426 patients. Monocyte chemoattractant protein-1 (MCP-1) diagnosed fibrosis with AUC of 0.66 and was associated with 2.3-11.0 times the risk of worsening renal function in 596 patients. Matrix metalloproteinase-2 (MMP-2) correlated with fibrosis (r = 0.41), and was associated with 2.5 times the risk of worsening renal function. CONCLUSIONS: Given the heterogeneity of the data due to diverse patient populations along with differing renal outcomes, a meta-analysis could not be conducted. Nonetheless we can conclude from the published data that TGF-beta, MCP-1 and MMP-2 may identify patients at risk for renal fibrosis and hence worse renal outcomes. FAU - Mansour, Sherry G AU - Mansour SG AD - Program of Applied Translational Research, Department of Medicine, Yale University, School of Medicine, New Haven, CT, USA. AD - Section of Nephrology, Yale University School of Medicine, 60 Temple Street, Suite 6C, New Haven, CT, 06510, USA. FAU - Puthumana, Jeremy AU - Puthumana J AD - Program of Applied Translational Research, Department of Medicine, Yale University, School of Medicine, New Haven, CT, USA. FAU - Coca, Steven G AU - Coca SG AD - Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. FAU - Gentry, Mark AU - Gentry M AD - Harvey Cushing/John Hay Whitney Medical Library, Yale University, New Haven, CT, USA. FAU - Parikh, Chirag R AU - Parikh CR AD - Program of Applied Translational Research, Department of Medicine, Yale University, School of Medicine, New Haven, CT, USA. chirag.parikh@yale.edu. AD - Section of Nephrology, Yale University School of Medicine, 60 Temple Street, Suite 6C, New Haven, CT, 06510, USA. chirag.parikh@yale.edu. AD - Veterans Affairs Connecticut Healthcare System, New Haven, CT, USA. chirag.parikh@yale.edu. LA - eng GR - T32 DK007276/DK/NIDDK NIH HHS/United States GR - UL1 TR001863/TR/NCATS NIH HHS/United States PT - Journal Article PT - Review PT - Systematic Review DEP - 20170220 PL - England TA - BMC Nephrol JT - BMC nephrology JID - 100967793 RN - 0 (Biomarkers) RN - 0 (CCL2 protein, human) RN - 0 (Chemokine CCL2) RN - 0 (Transforming Growth Factor beta) RN - EC 3.4.24.24 (MMP2 protein, human) RN - EC 3.4.24.24 (Matrix Metalloproteinase 2) SB - IM MH - Area Under Curve MH - Biomarkers/*metabolism MH - Chemokine CCL2/*metabolism MH - Disease Progression MH - Fibrosis MH - Humans MH - Kidney/*pathology MH - Kidney Diseases/*metabolism MH - Matrix Metalloproteinase 2/*metabolism MH - Prognosis MH - Reproducibility of Results MH - Transforming Growth Factor beta/*metabolism PMC - PMC5319065 OTO - NOTNLM OT - Biomarkers OT - Chronic kidney disease OT - Fibrosis OT - Outcomes OT - Renal biopsy OT - Renal disease progression EDAT- 2017/02/22 06:00 MHDA- 2017/11/29 06:00 PMCR- 2017/02/20 CRDT- 2017/02/22 06:00 PHST- 2016/09/11 00:00 [received] PHST- 2017/02/14 00:00 [accepted] PHST- 2017/02/22 06:00 [entrez] PHST- 2017/02/22 06:00 [pubmed] PHST- 2017/11/29 06:00 [medline] PHST- 2017/02/20 00:00 [pmc-release] AID - 10.1186/s12882-017-0490-0 [pii] AID - 490 [pii] AID - 10.1186/s12882-017-0490-0 [doi] PST - epublish SO - BMC Nephrol. 2017 Feb 20;18(1):72. doi: 10.1186/s12882-017-0490-0.