Evidence map›Paper›PMID 39429791›Full record

ReviewiScience2024

Activatable fluorescent probes for atherosclerosis theranostics.

Yuanyuan You, Chengwei Tang, Songling Lin, Wenman Li, Yuchao Li, Dingyuan Yan, Dong Wang, Xiaohui Chen

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in iScience, 2024. 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yuanyuan YouSchool of Pharmacy, Guangdong Medical University, Dongguan 523808, China.
Chengwei TangInstitute of Laboratory Medicine, School of Medical Technology, Guangdong Medical University, Dongguan 523808, China.
Songling LinSchool of Pharmacy, Guangdong Medical University, Dongguan 523808, China.
Wenman LiSchool of Pharmacy, Guangdong Medical University, Dongguan 523808, China.
Yuchao LiInstitute of Laboratory Medicine, School of Medical Technology, Guangdong Medical University, Dongguan 523808, China.
Dingyuan YanCenter for AIE Research, College of Materials Science and Engineering, Shenzhen University, Shenzhen 518060, China.
Dong WangCenter for AIE Research, College of Materials Science and Engineering, Shenzhen University, Shenzhen 518060, China.
Xiaohui ChenInstitute of Laboratory Medicine, School of Medical Technology, Guangdong Medical University, Dongguan 523808, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The onset of atherosclerosis (AS) is insidious, and early stage patients have atypical clinical symptoms. After being diagnosed in late stage, it is often prone to sudden and fatal cardiovascular events. Therefore, it is highly desirable to develop precise and efficient diagnosis and therapy strategies of AS. Benefiting from high signal-to-noise ratio, low detection limit, high specificity and sensitivity, a series of activatable fluorescent probes based on atherosclerotic microenvironment have emerged for identification and treatment of AS. In this review, we focus on the atherosclerotic microenvironment and briefly summarize the correlation between the structural transformation and fluorescence signal changes of mono-/double-activatable fluorescent probes upon biomarkers stimulation. Moreover, their cutting-edge progress for AS theranostics is described. Finally, the outlook for activatable theranostic probes based on atherosclerotic microenvironment is discussed to aim at promoting innovative research in imaging-guided precise AS therapy.

Indexed as

BiomaterialsCardiovascular medicineMedical imagingOptical imagingOptical materials

Identifiers

PMID39429791
PMCPMC11490739

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Registered trials

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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.