Dataset Information

The use of plasma microRNAs (miRs) as diagnostic and prognostic biomarkers of chronic kidney disease (CKD)

ABSTRACT: MicroRNAs (miRs) have the potential to be employed as diagnostic and prognostic biomarkers of chronic kidney disease (CKD) and are functionally important in disease pathogenesis. To identify novel miR biomarkers we performed small RNA-sequencing (sRNA-Seq) to detect miRs that were quantitatively altered in the circulation of individuals with type 2 diabetes (T2D) with CKD compared to those with normal kidney function. MiR-190a-5p abundance was significantly lower in the circulation of T2D patients with reduced kidney function compared to those with normal kidney function. To validate if the loss of circulating miR-190a-5p was associated with reduced kidney function we measured miR-190a-5p in an unselected cohort of CKD patients and determined if dysregulated miR-190a-5p could predict kidney outcomes. In individuals with no or moderate albuminuria (<300mg/mmol), serum miR-190a-5p levels predicted CKD progression (reaching end-stage kidney disease or >30% reduction from baseline eGFR, independent of age, sex, baseline eGFR, urinary albumin excretion, or blood pressure (adjusted HR 0.80, 95% CI: 0.66-0.96, p=0.015). To identify the kidney source of miR-190a-5p we utilised transcriptomic data from mouse models of kidney injury and single nuclear (sn) RNA-Seq from human kidney, finding that miR-190a-5p is enriched in the proximal tubule (PT) but down-regulated following injury. Bioinformatic analysis highlighted ADAM10as a potential miR-190a-5p target and we validated this in human PT cell line. Our analyses suggest that miR-190a-5p is a biomarker of tubular cell health and low circulating levels may predict CKD progression in patients with low or moderate proteinuria independent of existing risk factors.

ORGANISM(S): Homo sapiens

PROVIDER: GSE262414 | GEO | 2024/03/30

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Lifestyle disorders like obesity, type 2 diabetes (T2D), and cardiovascular diseases can be prevented and treated by regular physical activity. During exercise, skeletal muscles release signaling factors that communicate with other organs and mediate beneficial effects of exercise. These factors include myokines, metabolites, and extracellular vesicles (EVs). In the present study, we have examined how electrical pulse stimulation (EPS) of myotubes, a model of exercise, affects the cargo of released EVs. Chronic low frequency EPS was applied for 24 h to human myotubes isolated and differentiated from biopsy samples from 6 morbidly obese females with T2D, and EVs, both exosomes and microvesicles (MV), were isolated from cell media 24 h thereafter. Size and concentration of EV subtypes were characterized by nanoparticle tracking analysis, surface markers were examined by flow cytometry and Western blotting, and morphology was confirmed by transmission electron microscopy. Protein content was assessed by high-resolution proteomic analysis (LC-MS/MS), non-coding RNA was quantified by Affymetrix microarray, and selected microRNAs (miRs) validated by real time RT-qPCR. The size and concentration of exosomes and MV were unaffected by EPS. Of the 400 miRs identified in the EVs, EPS significantly changed the level of 15 exosome miRs, of which miR-1233-5p showed the highest fold change. The miR pattern of MV was unaffected by EPS. Totally, about 1000 proteins were identified in exosomes and 2000 in MV. EPS changed the content of 73 proteins in exosomes, 97 in MVs, and of these 4 were changed in both exosomes and MV (GANAB, HSPA9, CNDP2, and ATP5B). By matching the EPS-changed miRs and proteins in exosomes, 31 targets were identified, and among these several promising signaling factors. Of particular interest were CNDP2, an enzyme that generates the appetite regulatory metabolite Lac-Phe, and miR-4433b-3p, which targets CNDP2. Several of the regulated miRs, such as miR-92b-5p, miR-320b, and miR-1233-5p might also mediate interesting signaling functions.

Project description:Background: Acute kidney injury (AKI) is a common clinical event with high morbidity and mortality. We previously demonstrated that injection of cord blood endothelial colony forming cell (ECFC)-derived exosomes, highly enriched in miRNA(miR)-486-5p, prevented ischemic kidney injury in mice. While preclinical models support involvement of several miRs in AKI, the direct effects of miR-486-5p on injury and the kidney transcriptome are unknown. Objective: We studied effects of miR-486-5p in mice with kidney ischemia-reperfusion (IR) injury, and compared the impact of miR-486-5p and ECFC-derived exosomes on the transcriptome of proximal tubules (PTs) and renal endothelial cells. Methods: Adult male mice were subjected to bilateral kidney ischemia (30 min), and injected via tail vein with or without vehicle, miR-486-5p mimic, ECFC-derived exosomes, or scramble miR at the start of reperfusion. Plasma and tissues were collected 24 hrs after reperfusion, and proximal tubular and endothelial cells were isolated for mRNA analysis by RNA-Seq. Results: In mice with kidney IR, injection of miR-486-5p mimic increased levels of miR-486-5p in proximal tubules and endothelial cells, and significantly improved plasma creatinine, histological injury, neutrophil infiltration, and apoptosis, compared to vehicle treatment. MiR-486-5p inhibited expression of phosphatase and tensin homolog (PTEN), and activated AKT. Similar results were observed with exosomes, but scramble miR had no effect. In proximal tubules, miR-486-5p or exosomes reduced expression of several AKI genes (e.g. Lcn2, Havcr1 and Krt20) and caused alterations in apoptotic genes compared to IR alone. In endothelium, miR-486-5p or exosomes caused milder effect than in PTs but still impacting on expression of injury-related genes. Conclusion: MiR-486-5p protects mice against ischemic kidney injury. Both miR-486-5p and exosomes reduce expression of apoptotic genes in PTs and endothelium. The results suggest that systemic delivery of miR-486-5p has therapeutic potential in ischemic AKI.

Dataset Information

The use of plasma microRNAs (miRs) as diagnostic and prognostic biomarkers of chronic kidney disease (CKD)

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure