A systematic review and Meta-analysis of urinary extracellular vesicles proteome in diabetic nephropathy

source extracted confidence: high 2026-04-09
#biomarkers #diabetes-mellitus-type-1 #diabetes-mellitus-type-2 #diabetic-nephropathies #extracellular-vesicles

A systematic review and Meta-analysis of urinary extracellular vesicles proteome in diabetic nephropathy

Ding et al., 2022 | Front Endocrinol (Lausanne) | Meta Analysis

Citation

Ding Xiaonan, Wang Xiaochen, ... Zhu Hanyu. A systematic review and Meta-analysis of urinary extracellular vesicles proteome in diabetic nephropathy. Front Endocrinol (Lausanne). 2022;13:866252. doi:10.3389/fendo.2022.866252

Abstract

Diabetic nephropathy (DN) is a major microvascular complication of both type 1 and type 2 diabetes mellitus and is the most frequent cause of end-stage renal disease with an increasing prevalence. Presently there is no non-invasive method for differential diagnosis, and an efficient target therapy is lacking. Extracellular vesicles (EV), including exosomes, microvesicles, and apoptotic bodies, are present in various body fluids such as blood, cerebrospinal fluid, and urine. Proteins in EV are speculated to be involved in various processes of disease and reflect the original cells' physiological states and pathological conditions. This systematic review is based on urinary extracellular vesicles studies, which enrolled patients with DN and investigated the proteins in urinary EV. We systematically reviewed articles from the PubMed, Embase, Web of Science databases, and China National Knowledge Infrastructure (CNKI) database until January 4, 2022. The article quality was appraised according to the Newcastle-Ottawa Quality Assessment Scale (NOS). The methodology of samples, isolation and purification techniques of urinary EV, and characterization methods are summarized. Molecular functions, biological processes, and pathways were enriched in all retrievable urinary EV proteins. Protein-protein interaction analysis (PPI) revealed pathways of potential biomarkers. A total of 539 articles were retrieved, and 13 eligible records were enrolled in this systematic review and meta-analysis. And two studies performed mass spectrometry to obtain the proteome profile. Two of them enrolled only T1DM patients, two studies enrolled both patients with T1DM and T2DM, and other the nine studies focused on T2DM patients. In total 988 participants were enrolled, and DN was diagnosed according to UACR, UAER, or decreased GFR. Totally 579 urinary EV proteins were detected and 28 of them showed a potential value to be biomarkers. The results of bioinformatics analysis revealed that urinary EV may participate in DN through various pathways such as angiogenesis, biogenesis of EV, renin-angiotensin system, fluid shear stress and atherosclerosis, collagen degradation, and immune system. Besides that, it is necessary to report results compliant with the guideline of ISEV, in orderto assure repeatability and help for further studies. This systematic review concordance with previous studies and the results of meta-analysis may help to value the methodology details when urinary EV proteins were reported, and also help to deepen the understanding of urinary EV proteins in DN.

Key Findings

This systematic review concordance with previous studies and the results of meta-analysis may help to value the methodology details when urinary EV proteins were reported, and also help to deepen the understanding of urinary EV proteins in DN.

Outcomes Measured

  • Requires manual extraction

Population

Field Value
Population dn and investigated the
Sample Size 988
Age Range See abstract
Condition stress

MeSH Terms

  • Biomarkers
  • Diabetes Mellitus, Type 1
  • Diabetes Mellitus, Type 2
  • Diabetic Nephropathies
  • Extracellular Vesicles
  • Humans
  • Proteome

Evidence Classification

  • Level: Meta Analysis
  • Publication Types: Meta-Analysis, Systematic Review, Research Support, Non-U.S. Gov't, Journal Article
  • Vertical: collagen

Provenance

Source extracted via PubMed E-utilities API on 2026-04-09