Evidence map›Paper›PMID 40350518›Full record

ArticleScientific reports2025

A simplified and efficient method for isolating small extracellular vesicles for comparative and comprehensive translational research.

Prahalad Singh Bharti, Komal Rani, Rishabh Singh, Sanskriti Rai, Simran Rastogi, Manya Batra, Abhay Mishra, Sadaqa Zehra, Priya Kumari Gorai, Manda Venkata Sasidhar and 8 more

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

18 authors.

Prahalad Singh Bharti *Department of Biophysics, All India Institute of Medical Sciences, New Delhi, Delhi, 110029, India.
Komal Rani *Department of Pathology & Laboratory Medicine, All India Institute of Medical Sciences Bibinagar, Hyderabad, Telangana, 508126, India.
Rishabh Singh *Department of Biophysics, All India Institute of Medical Sciences, New Delhi, Delhi, 110029, India.
Sanskriti RaiDepartment of Biophysics, All India Institute of Medical Sciences, New Delhi, Delhi, 110029, India.
Simran RastogiDepartment of Biophysics, All India Institute of Medical Sciences, New Delhi, Delhi, 110029, India.
Manya BatraDepartment of Biophysics, All India Institute of Medical Sciences, New Delhi, Delhi, 110029, India.
Abhay MishraDepartment of Biophysics, All India Institute of Medical Sciences, New Delhi, Delhi, 110029, India.
Sadaqa ZehraDepartment of Biophysics, All India Institute of Medical Sciences, New Delhi, Delhi, 110029, India.
Priya Kumari GoraiDepartment of Anatomy, All India Institute of Medical Sciences, New Delhi, Delhi, 110029, India.
Manda Venkata SasidharApollo Hospitals Educational and Research Foundation, Hyderabad, Telangana, 500033, India.
Gyan Prakash ModiDepartment of Pharmaceutical Engineering & Technology, Indian Institute of Technology BHU, Varanasi, Uttar Pradesh, 221005, India.
Garima MalikIndian Council of Medical Research, New Delhi, 110029, India.
Neerja RaniDepartment of Anatomy, All India Institute of Medical Sciences, New Delhi, Delhi, 110029, India.
Kapil DevDepartment of Biotechnology, Jamia Millia Islamia, New Delhi, 110025, India.
Thota Jagadeshwar ReddyAnalytical Department, CSIR-Indian Institute of Chemical Technology, Hyderabad, Telangana, 500007, India.
Krishna Kishore InampudiDepartment of Biophysics, All India Institute of Medical Sciences, New Delhi, Delhi, 110029, India.
Fredrik NikolajeffDepartment of Health, Education and Technology, Lulea University of Technology, 97187, Lulea, Sweden.
Saroj KumarDepartment of Biophysics, All India Institute of Medical Sciences, New Delhi, Delhi, 110029, India. sarojgupta.k@gmail.com.ORCID http://orcid.org/0000-0001-7029-1163

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small extracellular vesicles (sEVs) can provide information about the pathophysiology of the cells; therefore, sEVs have attracted considerable interest as possible diagnostic biomarkers. A key challenge lies in the necessity for simple and cost-effective sEV isolation methods to achieve high purity and yield suitable for research and clinical applications. We are introducing a comprehensive study on isolating sEVs using a novel cocktail strategy that integrates chemical precipitation and ultrafiltration with a two-step filtering process to ensure a highly pure and homogeneous population and further compared with PEG-based precipitation, ultra-centrifugation, and size-exclusion-chromatography columns. The isolated sEVs from each protocol are quantified for size and yield using nanoparticle tracking analysis, morphologically characterized through transmission electron microscopy, and validated by quantifying the expression profiles of sEV surface biomarkers. Furthermore, the study explores the applicability of our method for downstream multi-omics analyses. The results highlight the efficacy of the proposed protocol, demonstrating the ease and efficiency of isolating sEVs from different biofluids with minimal laboratory requirements and confirming the compatibility with multi-omics analyses. These findings position our method as particularly valuable for translational research, offering a promising avenue for advancing the study and application of sEVs in diagnostic and therapeutic research.

Indexed as

Extracellular VesiclesTranslational Research, BiomedicalBiomarkersChromatography, GelHumansUltrafiltrationBiomarkersCell culture media.Human plasmaHuman salivaNanoparticle tracking analysissEVs isolationSmall extracellular vesicles

Identifiers

PMID40350518
PMCPMC12066714

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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.