Evidence map›Paper›PMID 40901521›Full record

ReviewFrontiers in medicine2025

Red blood cell extracellular vesicles: new frontiers in hematological biomarker discovery.

Urja Joshi, Linz-Buoy George, Hyacinth Highland

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. 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.

Urja JoshiDepartment of Biochemistry, School of Sciences, Gujarat University, Ahmedabad, India.
Linz-Buoy GeorgeDepartment of Zoology, Biomedical Technology, Human Genetics & Wildlife Biology and Conservation, School of Sciences, Gujarat University, Ahmedabad, India.
Hyacinth HighlandDepartment of Zoology, Biomedical Technology, Human Genetics & Wildlife Biology and Conservation, School of Sciences, Gujarat University, Ahmedabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) offer promising opportunities in hematology for improved diagnostics, prognostics, and therapeutics, making them valuable tools in the molecular landscape. EVs derived from red blood cells (RBCs) are the primary source of EVs in the bloodstream. They perform several critical biological and physiological functions, such as facilitating intercellular communication and transferring biomolecules like DNA, RNA, and proteins. Hence, in this review, we aim to explore RBC-derived EVs and their potential as a diagnostic tool for their clinical relevance and associated biomarkers in hematology. Furthermore, we emphasized their crucial role in both physiology and disease. RBC-EVs are found to play a role in vascular damage, inflammation, and coagulopathy in several pathophysiological conditions, potentially influencing the progression of certain diseases. They also served as indicators for numerous conditions, including hereditary hematologic abnormalities, diabetes, and cardiovascular diseases. Hence, their importance lies in their ability to reflect and influence red cell health, immune responses, and systemic disease states as accessible, non-invasive indicators. Also, their composition mirrors the physiological or pathological state of RBCs and holds promise for both diagnostics and therapeutics.

Indexed as

cell to cell communicationsextracellular vesicles (EVs)hematological biomarkersliquid biopsyred blood cells (RBCs)

Identifiers

PMID40901521
PMCPMC12399594

What OpenQuestion holds

Textmetadata
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.