Evidence map›Paper›PMID 41303767›Full record

ReviewMedicina (Kaunas, Lithuania)2025

Exosomes in Clinical Laboratory: From Biomarker Discovery to Diagnostic Implementation.

Majdi A Aljohani

Abstract readReview
In one paragraph

Review in Medicina (Kaunas, Lithuania), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
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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

1 author.

Majdi A AljohaniDepartment of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk 71491, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes, which are extracellular vesicles measuring 30-150 nm, are becoming a promising new target from cellular debris classification to a recognized biomarker with the potential to transform diagnostics. They have a fundamental role in intercellular communication, with selective molecular cargo that can reflect the pathophysiological state of parent cells. Exosomes are particularly advantageous for non-invasive liquid biopsies, as they provide continuous monitoring of disease progression or response to treatment. We detail the most recent diagnostic proteins, nucleic acids, and lipids in the context of different diseases. Here, we show the potential of exosomes as non-invasive biomarkers across diverse diseases, which may transcend the sensitivity of conventional biomarkers. The potential of exosome-based liquid biopsies to transform clinical laboratory practice will be determined by their ability to overcome challenges. Limitations comprise preanalytical variability, absence of standardized protocols, and heterogeneity in exosome isolation, which limit their diagnostic potential. The implementation is limited by isolation and analytical processes; however, many advanced platforms may offer multiplexed detection, which is accelerating their implementation process in clinical laboratories. Finally, we provide an overview of the clinical applications and preclinical advancements of exosomes to provide a perspective on the significance of exosomes for their use in biomarker study, as well as therapeutic monitoring in different diseases. Future initiatives must emphasize coordinated validation, economical scalability, and incorporation into clinical workflows to fulfill the potential of exosomes as advanced diagnostics.

Indexed as

BiomarkersExosomesHumansLaboratories, ClinicalLiquid BiopsyBiomarkersEVsexosomesliquid biopsynon-invasive biomarkerspreanalytical variability

Identifiers

PMID41303767
PMCPMC12654841

What OpenQuestion holds

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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.