Evidence map›Paper›PMID 42196279›Full record

ReviewInternational journal of molecular sciences2026

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

Muhammad Umair Khan, Ľuboš Danišovič, Jaroslav Katrlík

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Strategies for Multiplexing Plasmonic Biosensing.Sensors (Basel, Switzerland) · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Muhammad Umair KhanInstitute of Chemistry, Slovak Academy of Sciences, Dúbravská cesta 5807/9, 845 38 Bratislava, Slovakia.
Ľuboš DanišovičInstitute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, Sasinkova 4, 811 08 Bratislava, Slovakia.ORCID 0000-0002-5074-9621
Jaroslav KatrlíkInstitute of Chemistry, Slovak Academy of Sciences, Dúbravská cesta 5807/9, 845 38 Bratislava, Slovakia.ORCID 0000-0002-2876-9298

Funding

Výskumná a inovačná autorita 09I03-03-V04-00772
6 · The paper itself

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.

Indexed as

BiomarkersExtracellular VesiclesRegenerative MedicineAnimalsGlycomicsGlycosylationHumansBiomarkersbiomarkersexosomesextracellular vesiclesglycoengineeringglycomicsglycoproteinsglycosylationlectin microarraymass spectrometryregenerative medicine

Identifiers

PMID42196279
PMCPMC13207310

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.