Comprehensive bioinformatic analysis identifies potential therapeutic drugs for CryAB (R120G)-related cardiomyopathy

CryAB, known as Alpha-B Crystallin, has also been shown to bind and increase the unfolding force of the filamentous protein. Mutation of CryAB at R120G causes serious cardiomyopathy but lacks ideal therapeutic drugs. In the present study, we constructed CryAB (R120G)-transgenic (TG) mice. One hundred and four differentially expressed genes (DEGs) in heart tissues of TG mice were screened through RNA sequencing. Gene ontology (GO) and KEGG pathway analyses highlighted enrichment in critical biological processes such as blood circulation regulation, contractile fiber formation, actin binding, thyroid hormone signaling, endocytosis, and alanine, aspartate, and glutamate metabolism. Protein-protein interaction (PPI) analysis pinpointed key hub genes, including DHTKD1, NKTR, SCN5A, CLCN1, RPA1, ACSF2, ACACB, TTC28, HSPA1B. By using Connectivity Map (CMap) analysis and transcriptome data, we identified phosphodiesterase (PDE) family as potential targets and several potential therapeutic candidates, with nortriptyline, torin-1, and cilostazol emerging as top candidates. Molecular docking simulations showed that Nortriptyline exhibited strong binding affinities with hub proteins, particularly SCN5A. These findings suggest promising new therapeutic strategies for CryAB(R120G)-related cardiomyopathy by targeting specific pathways and hub genes to mitigate cardiac dysfunction.

Authors

Institutions

Publication Details

Journal
BMC Cardiovascular Disorders
Published
2025-08-30
DOI
https://doi.org/10.1186/s12872-025-04897-0
Citations
1
Primary Topic
Cardiomyopathy and Myosin Studies
Type
article
Field-Weighted Citation Impact
1.39

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive bioinformatic analysis identifies potential therapeutic drugs for CryAB (R120G)-related cardiomyopathy

Jiaqi Zheng, Jiajia Hu, Wei Qiao Qiu, Ming‐Jai Su et al.
1 citations
BMC Cardiovascular Disorders
Cardiomyopathy and Myosin Studies
1.39
article

Comprehensive bioinformatic analysis identifies potential therapeutic drugs for CryAB (R120G)-related cardiomyopathy

Jiaqi Zheng, Jiajia Hu, Wei Qiao Qiu, Ming‐Jai Su, Yuyang Liu, Jie Wang
article en
1 citations

Abstract

CryAB, known as Alpha-B Crystallin, has also been shown to bind and increase the unfolding force of the filamentous protein. Mutation of CryAB at R120G causes serious cardiomyopathy but lacks ideal therapeutic drugs. In the present study, we constructed CryAB (R120G)-transgenic (TG) mice. One hundred and four differentially expressed genes (DEGs) in heart tissues of TG mice were screened through RNA sequencing. Gene ontology (GO) and KEGG pathway analyses highlighted enrichment in critical biological processes such as blood circulation regulation, contractile fiber formation, actin binding, thyroid hormone signaling, endocytosis, and alanine, aspartate, and glutamate metabolism. Protein-protein interaction (PPI) analysis pinpointed key hub genes, including DHTKD1, NKTR, SCN5A, CLCN1, RPA1, ACSF2, ACACB, TTC28, HSPA1B. By using Connectivity Map (CMap) analysis and transcriptome data, we identified phosphodiesterase (PDE) family as potential targets and several potential therapeutic candidates, with nortriptyline, torin-1, and cilostazol emerging as top candidates. Molecular docking simulations showed that Nortriptyline exhibited strong binding affinities with hub proteins, particularly SCN5A. These findings suggest promising new therapeutic strategies for CryAB(R120G)-related cardiomyopathy by targeting specific pathways and hub genes to mitigate cardiac dysfunction.

BMC Cardiovascular DisordersVol. 25(1)
Capital Medical University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN), Peking University People's Hospital (CN), Beijing Friendship Hospital (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 15%
Cardiomyopathy and Myosin Studies
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.