Evidence map›Paper›PMID 42533406›Full record

ArticleAdvanced healthcare materials2026

Targeted Retention of Cationic Liposomes at the Inflamed Blood-Brain Barrier by Incorporating Mesenchymal Stem Cell Membrane.

Juanjuan Zheng, Hui Liu, Yaosheng Li, Yuankai Sun, Zefeng Yang, Xunqi Zhang, Zhiwei Du, Jiahe Wu, Liang Pei, Xiaoyu Qiu and 3 more

Abstract read
In one paragraph

Article 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

13 authors.

Juanjuan ZhengState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.
Hui LiuState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.
Yaosheng LiState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.
Yuankai SunState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.
Zefeng YangState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.
Xunqi ZhangState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.
Zhiwei DuState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.
Jiahe WuDepartment of Clinical Pharmacy, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang, People's Republic of China.
Liang PeiState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.
Xiaoyu QiuState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.
Yu ZhaoState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.ORCID https://orcid.org/0009-0000-5444-4078
Xinchi JiangState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.
Jianqing GaoState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, Zhejiang, People's Republic of China.ORCID https://orcid.org/0000-0003-1052-7060

Funding

Fundamental Research Funds for the Central Universities 226-2025-00135National Natural Science Foundation of China U22A20383
6 · The paper itself

Abstract

Blood-brain barrier (BBB) disruption is found in many acute and chronic inflammatory encephalopathies. Timely restoration of BBB integrity is essential for controlling disease progression, especially in ischemic stroke. While various brain-targeting strategies have been developed, achieving precise BBB-targeting and sustained retention at the BBB to enable faster and more effective repair remains a significant challenge. In this study, a biomimetic strategy is developed to enhance inflamed BBB-targeting gene delivery using cationic hybrid nanovesicles derived from mesenchymal stem cell (MSC) membranes, named P(ML). The combined contributions of the positive surface charge and the biological targeting capability inherent to MSC membranes enable the precise inflamed BBB-targeting of P(ML). In vitro and in vivo studies demonstrated that P(ML) efficiently accumulated in ischemic brain regions, and exhibited precise retention at inflamed BBB, rather than a diffuse distribution within the whole brain. Additionally, P(ML) showed efficient nucleic acid delivery capability. When loaded with siRNA targeting p66

Indexed as

Blood-Brain BarrierCell MembraneLiposomesMesenchymal Stem CellsAnimalsCationsGene Transfer TechniquesHumansInflammationMaleMiceRatsRNA, Small InterferingCationsLiposomesRNA, Small Interferingbarrier retentionblood–brain barriermesenchymal stem cell‐mimic nanovehiclespost‐strokeprecise targeted gene delivery

Identifiers

PMID42533406
PMCPMC13542958

What Socratic 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 Socratic graph.