Evidence map›Paper›PMID 40299633›Full record

ArticleAngewandte Chemie (International ed. in English)2025

pH-Responsive AIE Photosensitizers for Enhanced Antibacterial Therapy.

Qihang Ding, Lina Ding, Chunbai Xiang, Chunbin Li, Eunji Kim, Changyu Yoon, Haoran Wang, Meijia Gu, Pengfei Zhang, Lin Wang and 2 more

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. NIR-Assisted Multimodal Strategies for Enhanced Antibacterial Therapy.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Review
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  5. Article
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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

12 authors.

Qihang Ding *Department of Chemistry, Korea University, Seoul, 02841, South Korea.ORCID 0000-0002-2665-9036
Lina Ding *Department of Oral Implantology, School and Hospital of Stomatology, Jilin Provincial Key Laboratory of Sciences and Technology for Stomatology Nanoengineering, Jilin University, Changchun, 130021, China.
Chunbai Xiang *Guangdong Key Laboratory of Nanomedicine, CAS-HK Joint Lab for Biomaterials, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Chunbin LiSchool of Science and Engineering, Shenzhen Institute of Aggregate Science and Technology, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Guangdong, 518172, China.
Eunji KimDepartment of Chemistry, Korea University, Seoul, 02841, South Korea.
Changyu YoonDepartment of Chemistry, Korea University, Seoul, 02841, South Korea.
Haoran WangSchool of Science and Engineering, Shenzhen Institute of Aggregate Science and Technology, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Guangdong, 518172, China.
Meijia GuMinistry of Education Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, School of Pharmaceutical Sciences, Wuhan University, Wuhan, 430071, China.
Pengfei ZhangGuangdong Key Laboratory of Nanomedicine, CAS-HK Joint Lab for Biomaterials, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Lin WangDepartment of Oral Implantology, School and Hospital of Stomatology, Jilin Provincial Key Laboratory of Sciences and Technology for Stomatology Nanoengineering, Jilin University, Changchun, 130021, China.
Ben Zhong TangSchool of Science and Engineering, Shenzhen Institute of Aggregate Science and Technology, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Guangdong, 518172, China.
Jong Seung KimDepartment of Chemistry, Korea University, Seoul, 02841, South Korea.

Funding

China Scholarship Council 202106270027National Research Foundation of Korea 2018R1A3B1052702National Science Foundation of China 82170998Shenzhen-Hong Kong Joint Laboratory for Multi-Organ Metabolic Diagnosis and Treatment Technology E5G106
6 · The paper itself

Abstract

Bacterial infections significantly alter the local microenvironment, with acidic byproducts from bacterial metabolism leading to a pronounced pH reduction. Leveraging this characteristic, we synthesized and identified DHTPA, a near-infrared (NIR) fluorescent and pH-responsive aggregation-induced emission (AIE) photosensitizer, for enhanced photodynamic therapy against bacterial infections. DHTPA aggregates exhibit a 2.1-fold increase in ROS generation under weakly acidic conditions (pH 5.5) compared to neutral conditions (pH 7.4), attributed to its pH-dependent electronic structure modulation. Upon NIR light irradiation, DHTPA aggregates precisely respond to the acidic microenvironment, significantly boosting ROS production for efficient bacterial eradication. In vitro studies demonstrated that DHTPA achieved over 99.9% bactericidal efficiency against both gram-negative and gram-positive bacteria. In a murine infected wound model, DHTPA treatment accelerated wound healing by 2.4 times, markedly reduced bacterial burden, and alleviated inflammatory responses, highlighting its therapeutic potential. By integrating NIR activation, pH responsiveness, and AIE properties, DHTPA presents a precise and efficient antibacterial therapeutic strategy, offering an innovative solution for the clinical management of bacterial infections.

Indexed as

Anti-Bacterial AgentsPhotosensitizing AgentsAnimalsGram-Negative BacteriaGram-Positive BacteriaHumansHydrogen-Ion ConcentrationInfrared RaysMiceMicrobial Sensitivity TestsPhotochemotherapyReactive Oxygen SpeciesWound HealingAnti-Bacterial AgentsPhotosensitizing AgentsReactive Oxygen SpeciesAggregation‐induced emissionAntibacterial therapyNear‐infraredPhotodynamic therapyPhotosensitizer

Identifiers

PMID40299633
PMCPMC12207372

What OpenQuestion holds

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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.