Extracellular vesicle biomarkers: current status and future perspectives as novel tools in liquid biopsy
4 affiliations
- 1Department of General Medicine, The First People’s Hospital of Zunyi (Third Affiliated Hospital of Zunyi Medical University)
- 2Laboratory Medicine, Guizhou Aerospace Hospital
- 3Burn Department, The First Affiliated Hospital of Gannan Medical University
- 4Laboratory Medicine, The First Affiliated Hospital of Gannan Medical University
Abstract
Extracellular vesicles (EVs) are nano-sized vesicles secreted by living cells and ubiquitously present in body fluids. They carry molecular cargo-including proteins, nucleic acids, and lipids-that accurately mirrors the physiological and pathological state of their parent cells, offering a highly promising novel source of biomarkers for liquid biopsy. This review systematically summarizes the progress in biomarker discovery and application of EVs in major diseases such as cancer, neurological disorders, and cardiovascular diseases. It provides an in-depth analysis of the key technical bottlenecks in current EV isolation, characterization, and detection methodologies, and discusses the challenges related to standardization and clinical translation. Finally, the review outlines the broad future prospects in this field, including integrated multi-omics analysis based on EVs, and their potential for early diagnosis, real-time therapeutic monitoring, and prognostic assessment.
Related
- Toward objective brain monitoring of cancer-related cognitive impairment: an extracellular vesicle–based conceptual framework
- Primary cilia disruption reprograms extracellular vesicle signaling in endothelial dysfunction and cardiovascular disease
- Feed-based delivery of plasmid DNA using milk-derived extracellular vesicle-polyethylenimine complexes enables hepatic transgene expression in goldfish
- Evaluating Plasma‐Handling Effects on Extracellular Vesicle RNA Yield and Cargo Profiles in Fish: A Methodological Insight
- Mechanical Loading Reshapes Mesenchymal Stem/Stromal Cell-Derived Extracellular Vesicle microRNA Cargo Toward Predicted Immunomodulatory and EV Cargo-Trafficking Pathways: An In Vitro Mechanobiology Study
BibTeX
@article{huang2026extracellular,
title = {{Extracellular vesicle biomarkers: current status and future perspectives as novel tools in liquid biopsy}},
author = {Wenlong Huang and Ming Zhao and Ling Li and Qun Chen and Mao Yang and Chun Zhou and Maoji Qi and Yanxia Wang and Liya Luo and Wanneng Liang and Zonghong Lai and Shenglan Pu and Defa Huang},
journal = {Frontiers in Immunology},
year = {2026},
month = may,
doi = {10.3389/fimmu.2026.1853671},
url = {https://doi.org/10.3389/fimmu.2026.1853671},
note = {CC BY},
}
RIS
TY - JOUR
TI - Extracellular vesicle biomarkers: current status and future perspectives as novel tools in liquid biopsy
AU - Wenlong Huang
AU - Ming Zhao
AU - Ling Li
AU - Qun Chen
AU - Mao Yang
AU - Chun Zhou
AU - Maoji Qi
AU - Yanxia Wang
AU - Liya Luo
AU - Wanneng Liang
AU - Zonghong Lai
AU - Shenglan Pu
AU - Defa Huang
PY - 2026
DA - 2026/05/19
JO - Frontiers in Immunology
DO - 10.3389/fimmu.2026.1853671
UR - https://doi.org/10.3389/fimmu.2026.1853671
AB - Extracellular vesicles (EVs) are nano-sized vesicles secreted by living cells and ubiquitously present in body fluids. They carry molecular cargo-including proteins, nucleic acids, and lipids-that accurately mirrors the physiological and pathological state of their parent cells, offering a highly promising novel source of biomarkers for liquid biopsy. This review systematically summarizes the progress in biomarker discovery and application of EVs in major diseases such as cancer, neurological disorders, and cardiovascular diseases. It provides an in-depth analysis of the key technical bottlenecks in current EV isolation, characterization, and detection methodologies, and discusses the challenges related to standardization and clinical translation. Finally, the review outlines the broad future prospects in this field, including integrated multi-omics analysis based on EVs, and their potential for early diagnosis, real-time therapeutic monitoring, and prognostic assessment.
SN - 1664-3224
ER -