Evidence map›Paper›PMID 39939309›Full record

ReviewSchizophrenia (Heidelberg, Germany)2025

Potential of extracellular vesicle cargo as molecular signals in Schizophrenia: a scoping review.

Shivaprakash Gangachannaiah, Smita Shenoy, Dinesh Upadhya, Elstin Anbu Raj Stanly, Nachiket Gudi, Pallavi Lakshmi Chandrashekar, Samir Kumar Praharaj

Abstract readReview
In one paragraph

Review in Schizophrenia (Heidelberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

7 authors.

Shivaprakash GangachannaiahDepartment of Pharmacology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.ORCID http://orcid.org/0000-0002-6359-4024
Smita ShenoyDepartment of Pharmacology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.ORCID http://orcid.org/0000-0002-7578-1855
Dinesh UpadhyaCentre for Molecular Neuroscience, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.ORCID http://orcid.org/0000-0003-0673-9765
Elstin Anbu Raj StanlyCentre for Evidence-informed Decision-making, Prasanna School of Public Health, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.ORCID http://orcid.org/0000-0002-6511-6982
Nachiket GudiCentre for Evidence-informed Decision-making, Prasanna School of Public Health, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
Pallavi Lakshmi ChandrashekarDepartment of Physiology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.ORCID http://orcid.org/0000-0002-9956-015X
Samir Kumar PraharajDepartment of Psychiatry, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India. samir.kp@manipal.edu.ORCID http://orcid.org/0000-0001-8530-1432

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis of schizophrenia (SCZ) primarily relies on clinical history and mental status assessments by trained professionals. There has been a search for biomarkers to facilitate laboratory diagnosis. Since extracellular vesicles (EVs) communicate with brain cells and can easily cross blood-brain barrier, there is increased interest among experts to explore them as potential molecular signals for disease detection. A scoping review was conducted to provide a comprehensive summary of the existing literature to identify the differentially expressed molecular signals in EVs isolated from SCZ patients. The methodological framework outline provided by Arksey and O'Malley was employed to conduct this scoping review. A systematic search was conducted using a search string across four databases, ultimately leading to selection of 24 relevant studies. Over 1122 differentially expressed biomolecules were identified in EVs extracted from biological fluids and tissues that can be primarily categorized as RNAs, proteins, and metabolites. Among them, 83 biomolecules were identified as validated differentially expressed molecular signals, which included metabolites, circRNAs, lncRNAs, miRNAs, and proteins. These biomolecules were found to affect cellular receptors and intracellular pathways, neurotransmitters, mitochondrial functions, immune-related functions, and metabolic pathways, which could serve as potential biomarkers for SCZ diagnosis.

Identifiers

PMID39939309
PMCPMC11822128

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Registered trials

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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.