Spatiotemporally responsive hybrid hydrogels for sequential therapy and visualized monitoring of multidrug-resistant bacterial wound infections.

Gang Zhao, Junyan Zhang, Jun Wu, Yihuan Sheng, Yihao Zhang, Xin Chen, Yanfei Mao

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. 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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Gang ZhaoDepartment of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.

Junyan ZhangDepartment of Emergency and Critical Disease, Songjiang Research Institute, Shanghai Key Laboratory of Emotions and Affective Disorders, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 201600, China.

Jun WuDepartment of Emergency and Critical Disease, Songjiang Research Institute, Shanghai Key Laboratory of Emotions and Affective Disorders, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 201600, China.

Yihuan ShengDepartment of Emergency and Critical Disease, Songjiang Research Institute, Shanghai Key Laboratory of Emotions and Affective Disorders, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 201600, China.

Yihao ZhangDepartment of Emergency and Critical Disease, Songjiang Research Institute, Shanghai Key Laboratory of Emotions and Affective Disorders, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 201600, China.

Xin ChenDepartment of Emergency and Critical Disease, Songjiang Research Institute, Shanghai Key Laboratory of Emotions and Affective Disorders, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 201600, China.

Yanfei MaoDepartment of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious wounds pose a persistent clinical challenge, further aggravated by the rising prevalence of antibiotic-resistant pathogens, which significantly impair therapeutic efficacy and patient prognosis. Addressing the pressing need for effective interventions against multidrug-resistant (MDR) bacterial infections necessitates the development of next-generation therapeutic platforms capable of simultaneously achieving infection control, immune modulation, tissue regeneration, and real-time therapeutic monitoring. Herein, we report the rational design of an A-π-D-π-A conjugated hybrid photosensitizer (TPAB-Cu

Indexed as

Hybrid fluorescent probeImmunomodulatory hydrogelsMultidrug-resistant bacterial infectionPhotodynamic antibacterialsSpatiotemporally responsive hydrogelsVisualized therapeutic monitoring

Identifiers

PMID42016200

DOI10.1016/j.bioactmat.2026.04.016

PMCPMC13092675

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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.