ArticleScientific reports2022
Urinary extracellular vesicles and micro-RNA as markers of acute kidney injury after cardiac surgery.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- Systematic review of microRNAs in human acute kidney injury.Renal failure · 2024Pooled it
- Panel miRNAs are potential diagnostic markers for chronic kidney diseases: a systematic review and meta-analysis.BMC nephrology · 2024Pooled it
- Urinary vesicle biomarkers and kidney function-results from the German AugUR study.Scientific reports · 2026Article
- Application of extracellular vesicles in the CRISPR-based diagnosis and treatment: possibilities and challenges.Journal of biological engineering · 2026Review
- Extracellular vesicles in cardiac surgery: unlocking new frontiers in cardioprotection and patient outcomes.Clinical and experimental medicine · 2025Review
- Diagnosis and Emerging Biomarkers of Cystic Fibrosis-Related Kidney Disease (CFKD).Journal of clinical medicine · 2025Review
- Urinary microvesicles: a window into the kidney.Clinical kidney journal · 2025Review
- Research and Application Prospect of Nanomedicine in Kidney Disease: A Bibliometric Analysis From 2003 to 2024.International journal of nanomedicine · 2025Review
- Identifying Water-Salt Homeostasis and Inflammatory Response in Pathological Cardiac Surgery-Associated Acute Kidney Injury: NT-proBNP-related lncRNAs and miRNAs as Novel Diagnostic Biomarkers and Therapeutic Targets.International journal of medical sciences · 2025Article
- Effects and Mechanisms of Extracellular Vesicles in Different Models of Acute Kidney Injury.Stem cells international · 2025Review
- Extracellular Vesicles in Acute Kidney Injury: Mechanisms, Biomarkers, and Therapeutic Potential.International journal of nanomedicine · 2025Review
- Urine Extracellular Vesicles Size Subsets as Lupus Nephritis Biomarkers.Diagnostics (Basel, Switzerland) · 2024Article
- A Systematic Review and Meta-Analysis of MicroRNA as Predictive Biomarkers of Acute Kidney Injury.Biomedicines · 2024Review
- The Role of Extracellular Vesicles in SARS-CoV-2-Induced Acute Kidney Injury: An Overview.Life (Basel, Switzerland) · 2024Review
- Article
- Diabetes with kidney injury may change the abundance and cargo of urinary extracellular vesicles.Frontiers in endocrinology · 2023Article
- Predictive role of arterial lactate in acute kidney injury associated with off-pump coronary artery bypass grafting.Frontiers in surgery · 2023Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
We hypothesised that measuring changes in urinary levels of EV and miR will predict the onset of acute kidney injury in cardiac surgery patients. The study was performed in the cohort of the REVAKI-2 trial. Urine samples were collected before and 24 h after the procedure from 94 cardiac surgery patients. Urinary particle concentrations and size distribution were assessed using NanoSight. EV derivation and levels were measured using flow cytometry. Samples from 10 selected patients were sequenced, and verification was performed with advanced TaqMan assays in samples from all patients. Urinary particle concentrations significantly increased in patients with AKI after surgery, with the percentage of EV positive for CD105 and β1-integrin also increasing. Pre-surgery podocalyxin-positive EV were significantly lower in patients with AKI. Their levels correlated with the severity of the injury. Pre-operative miR-125a-5p was expressed at lower levels in urine from patients with AKI when adjusted for urinary creatinine. Levels of miR-10a-5p were lower after surgery in AKI patients and its levels correlated with the severity of the injury. Pre-operative levels of podocalyxin EVs, urinary particle concentrations and miR-125a-5p had moderate AKI predictive value and, in a logistic model together with ICU lactate levels, offered good (AUC = 82%) AKI prediction.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.