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Cell Physiol Biochem. 2018;46(4):1331-1340. doi: 10.1159/000489148. Epub 2018 Apr 18.

Urinary and Blood MicroRNA-126 and -770 are Potential Noninvasive Biomarker Candidates for Diabetic Nephropathy: a Meta-Analysis.

Park S1,2, Moon S3, Lee K4,5, Park IB4,5, Lee DH3,4,5, Nam S1,2,3,6.

Author information

1
Department of Genome Medicine and Science, Gachon University College of Medicine, Incheon, Republic of Korea.
2
Gachon Institute of Genome Medicine and Science, Gachon University Gil Medical Center, Incheon, Republic of Korea.
3
Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology, Gachon University, Incheon, Republic of Korea.
4
Department of Internal Medicine, Gachon University Gil Medical Center, Incheon, Republic of Korea.
5
Department of Internal Medicine, Gachon University College of Medicine, Incheon, Republic of Korea.
6
Department of Life Sciences, Gachon University, Seongnam, Republic of Korea.

Abstract

BACKGROUND/AIMS:

Diabetic nephropathy (DN), a major diabetic microvascular complication, has a long and growing list of biomarkers, including microRNA biomarkers, which have not been consistent across preclinical and clinical studies. This meta-analysis aims to identify significant blood- and urine-incident microRNAs as diagnostic/prognostic biomarker candidates for DN.

METHODS:

PubMed, Web of Science, and Cochrane Library were searched from their earliest records through 12th Dec 2016. Relevant publications for the meta-analysis included (1) human participants; (2) microRNAs in blood and urine; (3) DN studies; and (4) English language. Four reviewers, including two physicians, independently and blindly extracted published data regarding microRNA profiles in blood and/or urine from subjects with diabetic nephropathy. A random-effect model was used to pool the data. Statistical associations between diabetic nephropathy and urinary or blood microRNA expression levels were assessed.

RESULTS:

Fourteen out of 327 studies (n=2,747 patients) were selected. Blood or urinary microRNA expression data of diabetic nephropathy were pooled for this analysis. The hsa-miR-126 family was significantly (OR: 0.57; 95% CI: 0.44-0.74; p-value < 0.0001) downregulated in blood from patients with diabetic kidney disease, while its urinary level was upregulated (OR: 2931.12; 95% CI: 9.96-862623.21; p-value = 0.0059). The hsa-miR-770 family microRNA were significantly (OR: 10.24; 95% CI: 2.37-44.25; p-value = 0.0018) upregulated in both blood and urine from patients with diabetic nephropathy.

CONCLUSIONS:

Our meta-analysis suggests that hsa-miR-126 and hsa-miR-770 family microRNA may have important diagnostic and pathogenetic implications for DN, which warrants further systematic clinical studies.

KEYWORDS:

Biomarkers; Diabetes mellitus; Diabetic nephropathy; MicroRNAs

PMID:
29689545
DOI:
10.1159/000489148
[Indexed for MEDLINE]
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