Evidence map›Paper›PMID 42444062›Full record

ReviewAdvanced healthcare materials2026

Additive Manufacturing for Extracellular Vesicle Therapeutics: Engineering Strategies for Production, Isolation, and Delivery.

Renz Gabriel Garduque, Sanjairaj Vijayavenkataraman

Abstract readReview
In one paragraph

Review in Advanced healthcare materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Renz Gabriel GarduqueThe Vijay Lab, Division of Engineering, New York University, Abu Dhabi, UAE.
Sanjairaj VijayavenkataramanThe Vijay Lab, Division of Engineering, New York University, Abu Dhabi, UAE.ORCID https://orcid.org/0000-0001-7644-0721

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the therapeutic promise of extracellular vesicles (EVs) in regenerative medicine, immunotherapy, and targeted drug delivery, translation to the clinic remains constrained by persistent manufacturing bottlenecks, including low yields, poor purity-recovery trade-offs, inconsistent cargo composition, variable product quality, and limited scalability. Additive manufacturing (AM) technologies present new strategies to overcome these hurdles by enabling precise control over biomaterial composition, microarchitecture, and spatial organization across three pipeline areas: EV production, isolation and purification, and scaffold-based delivery. This review examines AM applications across those EV production pipeline nodes. We analyze how AM variables - matrix stiffness, scaffold geometry, shear conditions, and crosslinking chemistry - affect EV yield, cargo composition, membrane integrity, and functional potency. By linking engineering approaches with biological considerations, we highlight AM's potential to unify manufacturing efficiency with therapeutic performance, while addressing limitations in throughput, standardization, and translational readiness.

Indexed as

Drug Delivery SystemsExtracellular VesiclesAnimalsHumansPrinting, Three-DimensionalRegenerative MedicineTissue EngineeringTissue Scaffolds3D printingadditive manufacturingexosomesextracellular vesiclestherapeutics

Identifiers

PMID42444062
PMCPMC13495826

What OpenQuestion holds

Textmetadata
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.