Evidence map›Paper›PMID 37679058›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Use of Deep-Learning Assisted Assessment of Cardiac Parameters in Zebrafish to Discover Cyanidin Chloride as a Novel Keap1 Inhibitor Against Doxorubicin-Induced Cardiotoxicity.

Changtong Liu, Yingchao Wang, Yixin Zeng, Zirong Kang, Hong Zhao, Kun Qi, Hongzhi Wu, Lu Zhao, Yi Wang

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Changtong LiuCollege of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou, 310058, China.
Yingchao WangCollege of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou, 310058, China.
Yixin ZengState Key Lab of CAD&CG, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou, 310058, China.
Zirong KangState Key Lab of CAD&CG, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou, 310058, China.
Hong ZhaoCollege of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou, 310058, China.
Kun QiCollege of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou, 310058, China.
Hongzhi WuState Key Lab of CAD&CG, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou, 310058, China.
Lu ZhaoCollege of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou, 310058, China.
Yi WangCollege of Pharmaceutical Sciences, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou, 310058, China.ORCID 0000-0002-3676-9183
Zhejiang University · CNMinistry of Education · KR

Funding

Fundamental Research Funds for Central Universities 226-2023-00114Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine ZYYCXTD-D-202002National Natural Science Foundation of China 31971088National Natural Science Foundation of China 62022072National Natural Science Foundation of China 82173941Zhejiang Provincial Natural Science Foundation of China LDT23H19012H19Zhejiang Provincial Natural Science Foundation of China LR23H280001
6 · The paper itself

Abstract

Doxorubicin-induced cardiomyopathy (DIC) brings tough clinical challenges as well as continued demand in developing agents for adjuvant cardioprotective therapies. Here, a zebrafish phenotypic screening with deep-learning assisted multiplex cardiac functional analysis using motion videos of larval hearts is established. Through training the model on a dataset of 2125 labeled ventricular images, ZVSegNet and HRNet exhibit superior performance over previous methods. As a result of high-content phenotypic screening, cyanidin chloride (CyCl) is identified as a potent suppressor of DIC. CyCl effectively rescues cardiac cell death and improves heart function in both in vitro and in vivo models of Doxorubicin (Dox) exposure. CyCl shows strong inhibitory effects on lipid peroxidation and mitochondrial damage and prevents ferroptosis and apoptosis-related cell death. Molecular docking and thermal shift assay further suggest a direct binding between CyCl and Keap1, which may compete for the Keap1-Nrf2 interaction, promote nuclear accumulation of Nrf2, and subsequentially transactivate Gpx4 and other antioxidant factors. Site-specific mutation of R415A in Keap1 significantly attenuates the protective effects of CyCl against Dox-induced cardiotoxicity. Taken together, the capability of deep-learning-assisted phenotypic screening in identifying promising lead compounds against DIC is exhibited, and new perspectives into drug discovery in the era of artificial intelligence are provided.

Indexed as

CardiotoxicityDeep LearningAnimalsAnthocyaninsArtificial IntelligenceDoxorubicinKelch-Like ECH-Associated Protein 1Molecular Docking SimulationNF-E2-Related Factor 2Oxidative StressZebrafishAnthocyaninscyanidinDoxorubicinKelch-Like ECH-Associated Protein 1NF-E2-Related Factor 2cyanidin chloridedeep learningdoxorubicinKeap1-Nrf2 interactionzebrafish phenotypic screen

Identifiers

PMID37679058
PMCPMC10602559
OpenAlexW4386503267

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.