Evidence map›Paper›PMID 40881395›Full record

ArticleJACS Au2025

Liberating Exciton Transfer as a Pioneering Strategy to Construct Type I Photosensitizers for Hypoxia Deep-Seated Metastases Suppression.

Li-Na Zhang, Yuan-Feng Wei, Xiao-Yun Ran, Lei Shi, Zhou-Yu Wang, Shan-Yong Chen, Cheng Yi, Xiao-Qi Yu, Kun Li

Abstract read
In one paragraph

Article in JACS Au, 2025. 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

9 authors.

Li-Na ZhangKey Laboratory of Green Chemistry and Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu, Sichuan 610064, China.
Yuan-Feng WeiDepartment of Medical Oncology, Cancer Center, West China Hospital Sichuan University Chengdu, Sichuan 610064, China.
Xiao-Yun RanKey Laboratory of Green Chemistry and Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu, Sichuan 610064, China.
Lei ShiKey Laboratory of Green Chemistry and Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu, Sichuan 610064, China.
Zhou-Yu WangDepartment of Chemistry, Xihua University, Chengdu, Sichuan 610039, China.
Shan-Yong ChenKey Laboratory of Green Chemistry and Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu, Sichuan 610064, China.
Cheng YiDepartment of Medical Oncology, Cancer Center, West China Hospital Sichuan University Chengdu, Sichuan 610064, China.ORCID https://orcid.org/0000-0002-5963-5751
Xiao-Qi YuDepartment of Chemistry, Xihua University, Chengdu, Sichuan 610039, China.ORCID https://orcid.org/0000-0003-1719-6137
Kun LiKey Laboratory of Green Chemistry and Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu, Sichuan 610064, China.ORCID https://orcid.org/0000-0002-8788-1036

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type I photosensitizers (PSs) have revolutionized traditional photodynamic therapy for hypoxia tumors by eliminating oxygen dependence. Nevertheless, the current development of Type I PSs faces formidable obstacles stemming from the paucity of universal regulatory strategies that steer molecular systems toward efficient reactive oxygen species (ROS) generation through the Type I electron transfer pathway. Herein, we propose the "liberating exciton transfer" strategy to construct a series of Type I PSs (IDMX, X = H, F, Cl, Br) with remarkable generation of superoxide radicals (O

Indexed as

deep-seated metastasesliberalizing exciton transferphotodynamic therapytype I photosensitizers

Identifiers

PMID40881395
PMCPMC12381719

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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.