Alieh Gholaminejad1, Hossein Abdul Tehrani2, Mohammad Gholami Fesharaki3. 1. Department of Medical Biotechnology, Faculty of Medical Sciences, Tarbiat Modares University, Jalal Al Ahmad Street, No. 7, P.O. Box 14115-111, Tehran, Tehran Province, Iran. 2. Department of Medical Biotechnology, Faculty of Medical Sciences, Tarbiat Modares University, Jalal Al Ahmad Street, No. 7, P.O. Box 14115-111, Tehran, Tehran Province, Iran. h.tehrani@modares.ac.ir. 3. Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Abstract
AIMS: The aim was to perform a meta-analysis on the miRNA expression profiling studies in diabetic nephropathy (DN) to identify candidate diagnostic biomarkers. METHODS: A comprehensive literature search was done in several databases and 53 DN miRNA expression studies were selected. To identify significant DN-miR meta-signatures, two meta-analysis methods were employed: vote-counting strategy and the robust rank aggregation method. The targets of DN-miRs were obtained and a gene set enrichment analysis was carried out to identify the pathways most strongly affected by dysregulation of these miRNAs. RESULTS: We identified a significant miRNA meta-signature common to both meta-analysis approaches of three up-regulated (miR-21-5p, miR-146a-5p, miR-10a-5p) and two down-regulated (miR-25-3p and miR-26a-5p) miRNAs. Besides that, subgroup analyses divided and compared the differentially expressed miRNAs according to species (human and animal), types of diabetes (T1DN and T2DN) and tissue types (kidney, blood and urine). Enrichment analysis confirmed that DN-miRs supportively target functionally related genes in signaling and community pathways in DN. CONCLUSION: Five highly significant and consistently dysregulated miRNAs were identified, and future studies should focus on discovering their potential effect on DN and their clinical value as DN biomarkers and therapeutic mediators.
AIMS: The aim was to perform a meta-analysis on the miRNA expression profiling studies in diabetic nephropathy (DN) to identify candidate diagnostic biomarkers. METHODS: A comprehensive literature search was done in several databases and 53 DN miRNA expression studies were selected. To identify significant DN-miR meta-signatures, two meta-analysis methods were employed: vote-counting strategy and the robust rank aggregation method. The targets of DN-miRs were obtained and a gene set enrichment analysis was carried out to identify the pathways most strongly affected by dysregulation of these miRNAs. RESULTS: We identified a significant miRNA meta-signature common to both meta-analysis approaches of three up-regulated (miR-21-5p, miR-146a-5p, miR-10a-5p) and two down-regulated (miR-25-3p and miR-26a-5p) miRNAs. Besides that, subgroup analyses divided and compared the differentially expressed miRNAs according to species (human and animal), types of diabetes (T1DN and T2DN) and tissue types (kidney, blood and urine). Enrichment analysis confirmed that DN-miRs supportively target functionally related genes in signaling and community pathways in DN. CONCLUSION: Five highly significant and consistently dysregulated miRNAs were identified, and future studies should focus on discovering their potential effect on DN and their clinical value as DN biomarkers and therapeutic mediators.
Authors: M Carmen Iglesias-de la Cruz; Fuad N Ziyadeh; Motohide Isono; Martine Kouahou; Dong Cheol Han; Raghu Kalluri; Peter Mundel; Sheldon Chen Journal: Kidney Int Date: 2002-09 Impact factor: 10.612
Authors: Z Huang; L Zhang; Y Chen; H Zhang; Q Zhang; R Li; J Ma; Z Li; C Yu; Y Lai; T Lin; X Zhao; B Zhang; Z Ye; S Liu; W Wang; X Liang; R Liao; W Shi Journal: Cell Death Dis Date: 2016-03-17 Impact factor: 8.469