Evidence map›Paper›PMID 40727683›Full record

ReviewInternational journal of pharmaceutics: X2025

Construction and applications of exosome-microneedle integrated systems.

Lijie Zheng, Jiting Sun, Lusheng Wang, Zhixian Ding, Yu Tang, Mike Dai, Heng Tang

Abstract readReview
In one paragraph

Review in International journal of pharmaceutics: X, 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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  6. 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

7 authors.

Lijie ZhengCentral Laboratory, Wanbei Coal Electric Group General Hospital, Suzhou 234000, China.
Jiting SunCentral Laboratory, Wanbei Coal Electric Group General Hospital, Suzhou 234000, China.
Lusheng WangCentral Laboratory, Wanbei Coal Electric Group General Hospital, Suzhou 234000, China.
Zhixian DingCentral Laboratory, Wanbei Coal Electric Group General Hospital, Suzhou 234000, China.
Yu TangCentral Laboratory, Wanbei Coal Electric Group General Hospital, Suzhou 234000, China.
Mike DaiCentral Laboratory, Wanbei Coal Electric Group General Hospital, Suzhou 234000, China.
Heng TangCentral Laboratory, Wanbei Coal Electric Group General Hospital, Suzhou 234000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rapid advancement of drug delivery technologies, microneedles (MNs) have emerged as a novel transdermal delivery platform due to their ease of administration, minimally invasive nature, and high efficiency. MNs have demonstrated broad applicability for delivering diverse therapeutic agents, including small molecules, nucleic acids, peptides, and proteins. Exosomes (Exos), a class of extracellular vesicles with unique biological functions and significant clinical potential, have attracted increasing attention in recent years. However, their widespread application is limited by issues such as poor stability, low delivery efficiency, and potential safety and immune risks. The integration of Exos with MNs (Exos-MNs) systems offers a promising strategy to address these challenges. This review provides a comprehensive overview of recent advances in Exos-MNs delivery systems, including the technological advances of MNs, biological characteristics and engineering strategy of Exos, and the construction strategies of Exos-MNs. Additionally, we highlight recent developments in the application of Exos-MNs systems and discuss future perspectives and challenges for their clinical translation.

Indexed as

Disease therapyDrug deliveryExosomesMicroneedlesTransdermal administration

Identifiers

PMID40727683
PMCPMC12301817

What Socratic holds

Textmetadata
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 Socratic graph.