Evidence map›Paper›PMID 31244951›Full record

ReviewTheranostics2019

AIE-based theranostic systems for detection and killing of pathogens.

Xuewen He, Ling-Hong Xiong, Zheng Zhao, Zaiyu Wang, Liang Luo, Jacky Wing Yip Lam, Ryan Tsz Kin Kwok, Ben Zhong Tang

Open access · goldAbstract readReview
In one paragraph

Review in Theranostics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
9.3field-weighted citation impact, top 1% of its field
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

26 citing papers in PubMed, 149 citations in OpenAlex.

  1. Review
  2. MicroRNA-triggeredNational science review · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
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  11. Article
  12. Review
  13. Review
  14. Article
  15. Efficient Killing of Multidrug-Resistant Internalized Bacteria by AIEgens In Vivo.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Article
  16. Review
  17. Review
  18. Review
  19. 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

8 authors at 4 institutions in 3 countries.

Xuewen HeDepartment of Chemistry, Hong Kong Branch of Chinese National Engineering Research Centre for Tissue Restoration and Reconstruction, Institute for Advanced Study and Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong.
Ling-Hong XiongShenzhen Center for Disease Control and Prevention, Shenzhen 518055, China.
Zheng ZhaoDepartment of Chemistry, Hong Kong Branch of Chinese National Engineering Research Centre for Tissue Restoration and Reconstruction, Institute for Advanced Study and Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong.
Zaiyu WangDepartment of Chemistry, Hong Kong Branch of Chinese National Engineering Research Centre for Tissue Restoration and Reconstruction, Institute for Advanced Study and Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong.
Liang LuoNational Engineering Research Center for Nanomedicine, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
Jacky Wing Yip LamDepartment of Chemistry, Hong Kong Branch of Chinese National Engineering Research Centre for Tissue Restoration and Reconstruction, Institute for Advanced Study and Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong.
Ryan Tsz Kin KwokDepartment of Chemistry, Hong Kong Branch of Chinese National Engineering Research Centre for Tissue Restoration and Reconstruction, Institute for Advanced Study and Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong.
Ben Zhong TangDepartment of Chemistry, Hong Kong Branch of Chinese National Engineering Research Centre for Tissue Restoration and Reconstruction, Institute for Advanced Study and Division of Life Science, The Hong Kong University of Science and Technology, Hong Kong.
HKUST Shenzhen Research Institute · CNHong Kong University of Science and Technology · HKHuazhong University of Science and Technology · CNShenzhen Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogenic bacteria, fungi and viruses pose serious threats to the human health under appropriate conditions. There are many rapid and sensitive approaches have been developed for identification and quantification of specific pathogens, but many challenges still exist. Culture/colony counting and polymerase chain reaction are the classical methods used for pathogen detection, but their operations are time-consuming and laborious. On the other hand, the emergence and rapid spread of multidrug-resistant pathogens is another global threat. It is thus of utmost urgency to develop new therapeutic agents or strategies. Luminogens with aggregation-induced emission (AIEgens) and their derived supramolecular systems with unique optical properties have been developed as fluorescent probes for turn-on sensing of pathogens with high sensitivity and specificity. In addition, AIE-based supramolecular nanostructures exhibit excellent photodynamic inactivation (PDI) activity in aggregate, offering great potential for not only light-up diagnosis of pathogen, but also image-guided PDI therapy for pathogenic infection.

Indexed as

AnimalsAnti-Infective AgentsCommunicable DiseasesDiagnostic Tests, RoutineFluorescent DyesHumansMacromolecular SubstancesMultifunctional NanoparticlesOptical ImagingPhotosensitizing AgentsSensitivity and SpecificityTheranostic NanomedicineAnti-Infective AgentsFluorescent DyesMacromolecular SubstancesPhotosensitizing Agents

Identifiers

PMID31244951
PMCPMC6567968
OpenAlexW2947298841

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.