Evidence map›Paper›PMID 41691259›Full record

ArticleJournal of nanobiotechnology2026

Dual-thermo-responsive microneedle patch for accelerated diabetic wound healing through on-demand drug release and active temperature management.

Dan Xia, Yumeng Wu, Ruodan Xu, Linxi Zhou, Xiaotong Wu, Donghui Wang, Chunyong Liang, Ning Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of nanobiotechnology, 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

8 authors.

Dan XiaTianjin Key Laboratory of Materials Laminating Fabrication and Interface Control Technology, School of Materials Science and Engineering, Hebei University of Technology, Tianjin, 300130, China. xiad@hebut.edu.cn.
Yumeng WuTianjin Key Laboratory of Materials Laminating Fabrication and Interface Control Technology, School of Materials Science and Engineering, Hebei University of Technology, Tianjin, 300130, China.
Ruodan XuDepartment of Biomedical Engineering and Technology, Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
Linxi ZhouTianjin Key Laboratory of Materials Laminating Fabrication and Interface Control Technology, School of Materials Science and Engineering, Hebei University of Technology, Tianjin, 300130, China.
Xiaotong WuTianjin Key Laboratory of Materials Laminating Fabrication and Interface Control Technology, School of Materials Science and Engineering, Hebei University of Technology, Tianjin, 300130, China.
Donghui WangHebei Key Laboratory of Biomaterials and Smart Theranostics, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, 300130, China. donghuiwang@hebut.edu.cn.
Chunyong LiangTianjin Key Laboratory of Materials Laminating Fabrication and Interface Control Technology, School of Materials Science and Engineering, Hebei University of Technology, Tianjin, 300130, China.
Ning LiDepartment of Biomedical Engineering and Technology, Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China. lili.li.ning@gmail.com.

Funding

Fundamental Research Funds for the Central Public Welfare Research Institutes YZX-202412，CYS202504Joint Funds of National Natural Science Foundation of China U22A20162National Natural Science Foundation of China 52271245Natural Science Foundation of Hebei Province E2024202033Scientific and Technological Innovtion Project, China Academy of Chinese Medical Sciences CI2021B001
6 · The paper itself

Abstract

Diabetic foot ulcers (DFUs), prone to infection and deterioration without timely intervention, significantly increase risks of amputation and mortality. Elevated local temperature in DFUs further impedes the healing process. Although microneedles (MNs) represent a promising strategy for DFUs treatment, conventional passive drug release systems suffer from slow release kinetics and low utilization efficiency. To address these limitations, we developed a dual-thermo-responsive microneedle patch (DTMN) that actively controls drug delivery through temperature-induced structural transitions. The inner layer consists of sodium alginate-poly (N-isopropylacrylamide) (SA-PNIPAM) loaded with sucrose octasulfate sodium salt (SOS), utilizing the volume phase transition of PNIPAM to accelerate drug expulsion in response to temperature change. The outer layer comprises a polyethylene glycol/polylactic acid-glycolic acid copolymer (PEG-PLGA) loaded with urea, which undergoes gel-sol transition to facilitate controlled urea release and wound cooling. An upper electrospun nanofiber membrane made of poly (ε-caprolactone)/chitosan (PCL/CS) incorporated with tetracycline hydrochloride (TH) and SOS provides enhanced antibacterial efficacy and increased drug loading capacity. The resulting DTMN exhibits efficient drug release (85.23% SOS and 35.44% urea-derived ammonia at 24 h), remarkable antioxidant activities, potent antibacterial performance, excellent biocompatibility, and significantly enhanced wound healing. This multifunctional system offers a novel and effective strategy for the management of DFUs.

Indexed as

Diabetic FootWound HealingAcrylic ResinsAnimalsAnti-Bacterial AgentsDrug LiberationMaleMicroneedle Drug DeliveryPolyethylene GlycolsRatsRats, Sprague-DawleyTemperatureTetracyclineAcrylic ResinsAnti-Bacterial AgentsPolyethylene Glycolspoly-N-isopropylacrylamideTetracyclineDiabetic foot ulcersDual-thermo-responsiveMicroneedlesTransdermal drug deliveryWound healing

Identifiers

PMID41691259
PMCPMC13011479

What OpenQuestion holds

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Registered trials

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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.