Evidence map›Paper›PMID 41384767›Full record

ArticleLab on a chip2026

Therapeutic extracellular vesicle preparation

Sima Mehraji, Nicholas H Pirolli, Raith Nowak, Steven M Jay, Don L DeVoe

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Lab on a chip, 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. 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

5 authors.

Sima MehrajiDepartment of Mechanical Engineering, University of Maryland, College Park, MD, USA. ddev@umd.edu.ORCID 0000-0003-4015-2888
Nicholas H PirolliFischell Department of Bioengineering, University of Maryland, College Park, MD, USA.
Raith NowakFischell Department of Bioengineering, University of Maryland, College Park, MD, USA.
Steven M JayFischell Department of Bioengineering, University of Maryland, College Park, MD, USA.ORCID 0000-0002-3827-5988
Don L DeVoeDepartment of Mechanical Engineering, University of Maryland, College Park, MD, USA. ddev@umd.edu.ORCID 0000-0002-7740-9993

Funding

Nanohydrocyclones for scalable extracellular vesicle purification and drug loadingR21HL159590 · NHLBI · UNIV OF MARYLAND, COLLEGE PARK · PI DEVOE, DON L, JAY, STEVEN MICHAEL · 2021 to 2022
$421k
NHLBI NIH HHS R21 HL159590
6 · The paper itself

Abstract

A microfluidic platform designed to enhance the development of extracellular vesicle (EV)-based therapeutics is presented. The two-chip system combines rapid electrokinetic concentration and purification of EVs together with counterflow buffer exchange to prepare the purified vesicles for pH gradient-driven drug loading. The first chip employs electrophoretic enrichment to capture vesicles at the surface of a nanoporous membrane, with punctuated operation of the electrokinetic device supporting continuous processing of EVs from milliliter-scale volumes of cell culture supernatant. The second chip performs continuous-flow buffer exchange to protonate the vesicles and form a transmembrane pH gradient prior to passive loading of nucleic acid cargo. The modular components are shown to preserve EV bioactivity throughout the full process, using disposable thermoplastic chips that eliminate the need for device cleaning or regeneration between process runs. The technology enables a rapid and convenient workflow for EV-based therapeutic development addressing key limitations associated with established batch processes.

Indexed as

ElectrophoresisExtracellular VesiclesLab-On-A-Chip DevicesMicrodialysisMicrofluidic Analytical TechniquesHumansHydrogen-Ion Concentration

Identifiers

PMID41384767
PMCPMC12700066

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.