CKDdb-logoCKDdb - Study ID Exp25682967e

PubMed ID25682967
AuthorsRamezani A, Devaney JM, Cohen S, Wing MR, Scott R, Knoblach S, Singhal R, Howard L, Kopp JB, Raj DS.
TitleCirculating and urinary microRNA profile in focal segmental glomerulosclerosis: a pilot study
JournalEur J Clin Invest. 2015 Apr;45(4):394-404.
AbstractBACKGROUND: MicroRNAs (miRNAs) are noncoding RNA molecules that play important roles in the pathogenesis of various kidney diseases. We investigated whether patients with minimal change disease (MCD) and focal segmental glomerulosclerosis (FSGS) have distinct circulating and urinary miRNA expression profiles that could lead to potential development of noninvasive biomarkers of the disease. MATERIALS AND METHODS: Exosome miRNAs were extracted from plasma and urine samples of patients with primary FSGS (n = 16) or MCD (n = 5) and healthy controls (n = 5). Differences in miRNA abundance were examined using Affymetrix GeneChip miRNA 3.0 arrays. QRT-PCR was used to validate the findings from the array. RESULTS: Comparison analysis of FSGS versus MCD revealed 126 and 155 differentially expressed miRNAs in plasma and in urine, respectively. Only 38 of these miRNAs were previously cited, whereas the remaining miRNAs have not been described. Comparison analysis showed that a significant number of miRNAs were downregulated in both plasma and urine samples of patients with FSGS compared to those with MCD. Plasma levels of miR-30b, miR-30c, miR-34b, miR-34c and miR-342 and urine levels of mir-1225-5p were upregulated in patients with MCD compared to patients with FSGS and controls (P < 0·001). Urinary levels of mir-1915 and miR-663 were downregulated in patients with FSGS compared to MCD and controls (P < 0·001), whereas the urinary levels of miR-155 were upregulated in patients with FSGS when compared to patients with MCD and controls (P < 0·005). CONCLUSIONS: Patients with FSGS and MCD have a unique circulating and urinary miRNA profile. The diagnostic and prognostic potential of miRNAs in FSGS and MCD warrants further studies.

Sample characteristics

SpeciesTissue / SourceCompartmentDiseaseNDetection methodSample
Homo sapiensurineexosomesLipoid_Nephrosis10miRNA microarrayDem25682967e, Dem25682967f

Sample description and preparation

N (case)5
N (control)5
Disease (case)minimal change disease (MCD)
Disease (control)healthy
Preparation specific methodexosome RNA Isolation kit

Sample detection

Array versionAffymetrix GeneChip miRNA 3.0 Arrays

Sample analysis

Software thresholdP<0.05, fold change >2

Molecule list

Molecule IDextExternal IDGeneNameRegulation (case/control)Scores
AZ43B MIMAT0005589 hsa-miR-1234-3pratio: 5.82p-value: 6.88E-06
BZ0D9 MIMAT0019798 hsa-miR-4701-5pratio: 2.75p-value: 0.0006
AZ3EM MIMAT0019877 hsa-miR-3591-3pratio: 2.72p-value: 0.002
AZ3YB MIMAT0004607 hsa-miR-138-1-3pratio: 0.14p-value: 0.0002
AZ34F MIMAT0004795 hsa-miR-574-5pratio: 0.13p-value: 0.0001
BZ301 100313840MIR2115Homo sapiens miR-2115 stem-loopratio: 0.34p-value: 5.08E-06
BZZ98 MIMAT0019977 hsa-miR-4799-3pratio: 0.3p-value: 0.003
BZU10 MIMAT0016862 hsa-miR-4310ratio: 0.29p-value: 0.002
BZ6C6 MIMAT0019821 hsa-miR-4713-3pratio: 0.17p-value: 0.004
AZ2S6 MIMAT0004979 hsa-miR-936ratio: 0.14p-value: 0.004

Compile date 08-10-2018© iMODE-CKD consortium