Evidence map›Paper›PMID 41347640›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

AIEgen-Based Proactive Early Warning System and Precise Treatment Strategy for Monkeypox Prevention and Control.

Wei Wang, Zining Liu, Mengjun Li, Judun Zheng, Ruilin Zhang, Ke Liu, Xiaoxue Li, Shaoying Wen, Jingze Yu, Meijia Pan and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

15 authors.

Wei WangInstitute for Engineering Medicine, Kunming Medical University, Kunming, Yunnan, 650500, P. R. China.
Zining LiuInstitute for Engineering Medicine, Kunming Medical University, Kunming, Yunnan, 650500, P. R. China.
Mengjun LiBSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Department of Laboratory Medicine, Zhujiang Hospital，Key Laboratory of Infectious Diseases Research in South China, Southern Medical University, Ministry of Education, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Judun ZhengInstitute for Engineering Medicine, Kunming Medical University, Kunming, Yunnan, 650500, P. R. China.
Ruilin ZhangInstitute for Engineering Medicine, Kunming Medical University, Kunming, Yunnan, 650500, P. R. China.
Ke LiuBSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Department of Laboratory Medicine, Zhujiang Hospital，Key Laboratory of Infectious Diseases Research in South China, Southern Medical University, Ministry of Education, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Xiaoxue LiInstitute for Engineering Medicine, Kunming Medical University, Kunming, Yunnan, 650500, P. R. China.
Shaoying WenSchool of inspection, Ningxia Medical University, Yinchuan, Ningxia, 750004, P. R. China.
Jingze YuSchool of inspection, Ningxia Medical University, Yinchuan, Ningxia, 750004, P. R. China.
Meijia PanSchool of inspection, Ningxia Medical University, Yinchuan, Ningxia, 750004, P. R. China.
Fengbo MaSchool of inspection, Ningxia Medical University, Yinchuan, Ningxia, 750004, P. R. China.
Kun ZhouGuangdong Basic Research Center of Excellence for Aggregate Science, Shenzhen Institute of Aggregate Science and Technology, School of Science and Engineering, The Chinese University of Hong Kong Shenzhen (CUHK-Shenzhen), Guangdong, 518172, P. R. China.
Zheng ZhaoGuangdong Basic Research Center of Excellence for Aggregate Science, Shenzhen Institute of Aggregate Science and Technology, School of Science and Engineering, The Chinese University of Hong Kong Shenzhen (CUHK-Shenzhen), Guangdong, 518172, P. R. China.
Chenguang ShenBSL-3 Laboratory (Guangdong), Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Department of Laboratory Medicine, Zhujiang Hospital，Key Laboratory of Infectious Diseases Research in South China, Southern Medical University, Ministry of Education, Southern Medical University, Guangzhou, Guangdong, 510515, P. R. China.
Yuhui LiaoInstitute for Engineering Medicine, Kunming Medical University, Kunming, Yunnan, 650500, P. R. China.ORCID https://orcid.org/0000-0003-4702-9516

Funding

National Key Research and Development Program of China 2024YFC2311503National Natural Science Foundation of China 22565018National Natural Science Foundation of China 82272248National Natural Science Foundation of China 82322042National Natural Science Foundation of China 82371846National Natural Science Foundation of China 82500159
6 · The paper itself

Abstract

The recent monkeypox outbreak is garnering attention, but early warning and treatment mechanisms are lacking. Owing to its rapid spread and high death rate, monkeypox must be prevented and controlled immediately. An advanced early warning system for monkeypox prevention and control is provided through aggregation-induced emission luminogen (AIEgen)-active monitoring and precision photodynamic therapy (PDT). This system are developed by combining a sprayable AIE@LD with a commercial liquid dressing (LD) and a pyridine-substituted benzothiadiazole derivative possessing AIEgen properties. In vivo tests revealed that 1 min of low-power white light PDT at 5 mW cm

Indexed as

Mpox, MonkeypoxPhotochemotherapyAnimalsHumansMiceAIEgencontrolmonkeypoxphotodynamic therapypreventionwarning system

Identifiers

PMID41347640
PMCPMC12904085

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.