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May 14, 2026International Journal of Molecular Sciences2 citationsOpen Access

Glycosylation of Extracellular Vesicles: Analytical and Translational Insights into Biomarker Discovery and Regenerative Medicine

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MKMuhammad Umair KhanĽDĽuboš DanišovičJKJaroslav Katrlı́k

Key Points

  • This review aims to synthesize knowledge on the role of glycosylation in extracellular vesicles as biomarkers and in regenerative processes.
  • Integrates analytical approaches including mass spectrometry-based glycomics and glycoproteomics.
  • Discusses various profiling techniques like lectin microarrays, imaging, and advanced biosensing technologies.
  • Addresses challenges in translational applications and methodological limitations in current research.
  • Identified disease-specific EV glycosylation signatures across various cancer types, suggesting diagnostic potential.
  • Demonstrated the functional role of EV glycans in tissue repair across several physiological systems.
  • Outlined promising future technologies in the fields of diagnostics and regenerative therapy.

Abstract

Glycosylation is a critical determinant of extracellular vesicle (EV) biology, shaping vesicle biogenesis, stability, biodistribution, cellular recognition, and uptake. Because EV glycans mirror disease-associated remodeling of parental cells, EV glycosylation is emerging as both a rich source of biomarkers and a functional regulator of regenerative signaling. This review highlights how altered EV glycosylation generates disease-specific signatures across major cancers, including lung, hepatocellular, colorectal, bladder, ovarian, pancreatic, and prostate cancer, and also discusses evidence in neurological, neuropsychiatric, metabolic, autoimmune, urinary, and musculoskeletal disorders. Beyond diagnostics, we examine the growing role of EV glycosylation in regenerative medicine, where glycan-dependent targeting and tissue interactions contribute to neural, cardiac, renal, skeletal, joint, and skin repair. We further provide an integrated overview of analytical strategies for EV glycosylation research, spanning mass spectrometry-based glycomics and glycoproteomics, affinity-based profiling, lectin microarrays, imaging, spectroscopic methods, advanced biosensing and nanotechnology-based approaches, and emerging artificial intelligence and bioinformatics tools. Current methodological challenges, biosafety issues, translational barriers, and future technologies are also critically discussed. Altogether, this review positions EV glycosylation as a promising interface between EV biology, precision diagnostics, and next-generation regenerative therapeutics.

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Cite This Study

Khan et al. (2026) studied this question.

synapsesocial.com/papers/6a056751a550a87e60a1f51dhttps://doi.org/10.3390/ijms27104298
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