ArticleThe Journal of pharmacology and experimental therapeutics2024
Endothelial Extracellular Vesicles Enriched in microRNA-34a Predict New-Onset Diabetes in Coronavirus Disease 2019 (COVID-19) Patients: Novel Insights for Long COVID Metabolic Sequelae.
Article in The Journal of pharmacology and experimental therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 19 citations in OpenAlex.
- Expression Analysis of miRNA Profiles in Colorectal Cancer with a Bioinformatics Approach: An Emphasis on miR-4295, miR-4720-5p, miR-4773, and miR-6831-5p.Diagnostics (Basel, Switzerland) · 2026Article
- MicroRNAs in Long COVID: Key Regulators, Biomarkers, and Therapeutic Targets of Post-SARS-CoV-2 Sequelae.Biomolecules · 2026Review
- Decoding long COVID-associated cardiovascular dysfunction: Mechanisms, models, and new approach methodologies.Journal of molecular and cellular cardiology · 2025Review
- Non-Coding RNA in Type 2 Diabetes Cardio-Renal Complications and SGLT2 Inhibitor Response.International journal of molecular sciences · 2025Review
- MicroRNAs in long COVID: roles, diagnostic biomarker potential and detection.Human genomics · 2025Review
- Vaxtherapy, a Multiphase Therapeutic Protocol Approach for Longvax, the COVID-19 Vaccine-Induced Disease: Spike Persistence as the Core Culprit and Its Downstream Effects.Diseases (Basel, Switzerland) · 2025Article
- Aspirin reduces the risk of type 2 diabetes associated with COVID-19.npj metabolic health and disease · 2025Article
- The selective sorting of microRNA-4432 into endothelial extracellular vesicles is controlled by a specific RNA binding protein: new insights into the pathophysiology of venous malformations.The British journal of dermatology · 2025Article
- The relationship between microRNAs and COVID-19 complications.Non-coding RNA research · 2025Review
- Molecular analysis of long COVID and new-onset diabetes mellitus: pathobiological relationships and current mechanistic views.Frontiers in endocrinology · 2025Review
- A six-year study in a real-world population reveals an increased incidence of dyslipidemia during COVID-19.The Journal of clinical investigation · 2024Article
- Circulating miRNAs in the Plasma of Post-COVID-19 Patients with Typical Recovery and Those with Long-COVID Symptoms: Regulation of Immune Response-Associated Pathways.Non-coding RNA · 2024Article
- The relationship between COVID-19 and hyperglycemia: screening and monitoring hospitalized patients.Clinical diabetes and endocrinology · 2024Article
- Emerging role of sphingolipids and extracellular vesicles in development and therapeutics of cardiovascular diseases.International journal of cardiology. Heart & vasculature · 2024Review
- Incidence of new-onset hypertension before, during, and after the COVID-19 pandemic: a 7-year longitudinal cohort study in a large population.BMC medicine · 2024Article
Corrections and comments
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Authors and funding
13 authors at 1 institution in 3 countries.
Funding
Abstract
Emerging evidence indicates that the relationship between coronavirus disease 2019 (COVID-19) and diabetes is 2-fold: 1) it is known that the presence of diabetes and other metabolic alterations poses a considerably high risk to develop a severe COVID-19; 2) patients who survived a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection have an increased risk of developing new-onset diabetes. However, the mechanisms underlying this association are mostly unknown, and there are no reliable biomarkers to predict the development of new-onset diabetes. In the present study, we demonstrate that a specific microRNA (miR-34a) contained in circulating extracellular vesicles released by endothelial cells reliably predicts the risk of developing new-onset diabetes in COVID-19. This association was independent of age, sex, body mass index (BMI), hypertension, dyslipidemia, smoking status, and D-dimer. SIGNIFICANCE STATEMENT: We demonstrate for the first time that a specific microRNA (miR-34a) contained in circulating extracellular vesicles released by endothelial cells is able to reliably predict the risk of developing diabetes after having contracted coronavirus disease 2019 (COVID-19). This association was independent of age, sex, body mass index (BMI), hypertension, dyslipidemia, smoking status, and D-dimer. Our findings are also relevant when considering the emerging importance of post-acute sequelae of COVID-19, with systemic manifestations observed even months after viral negativization (long COVID).
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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 Socratic graph.