Extracellular Vesicles in Genetic Diseases: Emerging Biomarkers and Clinical Applications
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Human Genomics and Genetic Diseases".
Deadline for manuscript submissions: 20 February 2026 | Viewed by 5
Special Issue Editors
2. UOC Genetica Medica, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00168 Rome, Italy
Interests: genomic medicine; genetic diseases; liquid biopsy; extracellular vesicles; molecular biology; intellectual disability
Interests: fragile X syndrome; epigenetics; medical genetics; intellectual disability; rare diseases
Special Issue Information
Dear Colleagues,
Extracellular vesicles (EVs) are membrane-bound particles secreted by most cell types, present in various biological fluids. By transporting bioactive molecules such as proteins, lipids, RNA, and DNA, EVs play a crucial role in intercellular communication, reflecting the physiological or pathological state of their cells of origin. In the context of genetic diseases, the molecular analysis of EV content is emerging as a powerful tool for investigating disease mechanisms and identifying dynamic biomarkers.
In particular, growing interest in EV-associated microRNAs is opening new perspectives for disease monitoring, assessment of treatment response, and patient stratification. This type of cargo is currently being studied in several genetic conditions, including Duchenne muscular dystrophy, cystic fibrosis, and genetically based neurological disorders.
This Special Issue of Genes will focus on the biological and clinical potential of EVs in genetic diseases, highlighting their emerging role as mediators and biomarkers. We welcome original research articles and reviews that explore these promising aspects of EV biology in genetic pathologies.
Dr. Benedetta Niccolini
Prof. Dr. Elisabetta Tabolacci
Guest Editors
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Keywords
- extracellular vesicles
- inherited diseases
- EV-derived microRNAs
- biomarkers
- genetic disorders
- patient stratification
- therapeutic monitoring
- disease progression
- intercellular communication
- molecular diagnostics
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