Evidence map›Paper›PMID 41035424›Full record

ArticleBioactive materials2026

Coenzyme-based elastomeric adhesive patch as iron ion capturer to regulate iron metabolism for diabetic oral ulcer repair.

Rong Yang, Jiaxing Shao, Qian Zhang, Yage Sun, Xinrui Zhao, Chunyan Cui, Wenguang Liu

Abstract read
In one paragraph

Article in Bioactive materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Rong YangSchool of Material Science and Engineering, State Key Laboratory of Precious Metal Functional Materials, Tianjin University, Tianjin, 300350, China.
Jiaxing ShaoSchool of Material Science and Engineering, State Key Laboratory of Precious Metal Functional Materials, Tianjin University, Tianjin, 300350, China.
Qian ZhangSchool of Material Science and Engineering, State Key Laboratory of Precious Metal Functional Materials, Tianjin University, Tianjin, 300350, China.
Yage SunSchool of Material Science and Engineering, State Key Laboratory of Precious Metal Functional Materials, Tianjin University, Tianjin, 300350, China.
Xinrui ZhaoSchool of Material Science and Engineering, State Key Laboratory of Precious Metal Functional Materials, Tianjin University, Tianjin, 300350, China.
Chunyan CuiSchool of Material Science and Engineering, State Key Laboratory of Precious Metal Functional Materials, Tianjin University, Tianjin, 300350, China.
Wenguang LiuSchool of Material Science and Engineering, State Key Laboratory of Precious Metal Functional Materials, Tianjin University, Tianjin, 300350, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Iron metabolism imbalance under high-glucose and nutrient-rich conditions is a key factor inhibiting the healing of diabetic oral ulcers. This study confirms the extensive iron accumulation and ferroptosis occurrence in diabetic oral ulcers. To address this, an oral patch (PLTP) is designed by combining two natural bioactive molecules of lipoic acid (LA) and tea polyphenols (TP). The abundant carboxyl and hydroxyl groups in PLTP act as iron ion capturers, adsorbing extracellular iron, reducing iron transport into cells, and effectively cutting off the iron source for intracellular ferroptosis. The in-situ release of LA and TP at wound site not only aids in restoring intercellular iron homeostasis via regulating the intracellular Xc

Indexed as

Diabetic oral ulcerFerroptosisMicroenvironment regulationWet-resistance adhesiveα-lipoic acid

Identifiers

PMID41035424
PMCPMC12482644

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.