Evidence map›Paper›PMID 40772393›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2025

Droplet Squeeze Microfluidic Platform for Generating Extracellular Vesicle Hybrids for Drug Delivery.

Uday Chintapula, Shujing Liu, Andres Fernandez Del Castillo, Jianhua Lim, Yoonho Roh, Shrawan Kumar Mageswaran, Xiaogang Zhang, Renee-Tyler T Morales, Mark A Sellmyer, Yi-Wei Chang and 2 more

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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. Review
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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

12 authors.

Uday ChintapulaDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID 0000-0002-6028-4485
Shujing LiuDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Andres Fernandez Del CastilloThe Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Jianhua LimDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Yoonho RohDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Shrawan Kumar MageswaranThe Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Xiaogang ZhangDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Renee-Tyler T MoralesDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Mark A SellmyerThe Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Yi-Wei ChangThe Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Xiaowei XuDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Jina KoDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID 0000-0002-4941-4234

Funding

Targeting exosomal PDL1 to improve immunotherapyP50CA261608 · NCI · WISTAR INSTITUTE · PI HERLYN, MEENHARD F · 2021 to 2025
$11.3M
Gamma delta T cell based melanoma therapiesR01CA258113 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Meenhard F Herlyn, Xiaowei Xu · 2022 to 2026
$3.3M
Droplet-based Spatially Encoded Live Cell Digital ExtractionDP2GM154018 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI JINA KO · 2023 to 2026
$2.5M
Designer extracellular vesicles for cancer therapyR01CA284182 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Xiaowei Xu · 2024 to 2026
$1.9M
NCI NIH HHS P50 CA261608NCI NIH HHS R01 CA258113NCI NIH HHS R01 CA284182NIGMS NIH HHS DP2 GM154018
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are emerging as versatile drug delivery systems due to their intrinsic biocompatibility and targeting capabilities. However, EV integrity and efficient drug loading challenges hinder their clinical translation. To address these limitations, hybrid systems integrating lipid nanoparticles (LNPs) with EVs have gained attention for their potential in targeted and combinatorial drug delivery. This study presents a robust microfluidic approach for the scalable generation of drug-loaded EV-LNP hybrids (EV hybrids). The method facilitates controlled fusion between EVs and LNPs by utilizing a droplet-mediated squeezing mechanism. Lipid composition and microfluidic parameters are optimized for the fusion of EVs and LNPs and determined physicochemical and functional characterizations of the EV hybrids. In vitro studies demonstrate that EV hybrids exhibit enhanced targeting efficiency. Moreover, small-molecule therapeutics are successfully encapsulated within EV hybrids, significantly improving cytotoxic efficacy against melanoma in 2D and 3D culture models compared to drug-loaded EVs or LNPs alone. The work introduces a scalable, minimally disruptive microfluidic platform for engineering EV hybrids, offering a promising strategy to advance precision nanomedicine.

Indexed as

Drug Delivery SystemsExtracellular VesiclesMicrofluidicsCell Line, TumorHumansNanoparticlescancerdroplet microfluidicsdrug deliveryEV hybridsextracellular vesicleslipid nanoparticlesmelanoma

Identifiers

PMID40772393
PMCPMC12444820

What OpenQuestion holds

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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.