Computational screen for sex-specific drug effects in a cardiac fibroblast signaling network model.
Computational screen for sex-specific drug effects in a cardiac fibroblast signaling network model.
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DOI:
10.1038/s41598-023-44440-9
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发表时间:
2023-10-10
影响因子:
4.6
通讯作者:
Richardson, William J.
中科院分区:
文献类型:
--
作者:
Watts, Kelsey M.;Nichols, Wesley;Richardson, William J.
Heart disease is the leading cause of death in both men and women. Cardiac fibrosis is the uncontrolled accumulation of extracellular matrix proteins, which can exacerbate the progression of heart failure, and there are currently no drugs approved specifically to target matrix accumulation in the heart. Computational signaling network models (SNMs) can be used to facilitate discovery of novel drug targets. However, the vast majority of SNMs are not sex-specific and/or are developed and validated using data skewed towards male in vitro and in vivo samples. Biological sex is an important consideration in cardiovascular health and drug development. In this study, we integrate a cardiac fibroblast SNM with estrogen signaling pathways to create sex-specific SNMs. The sex-specific SNMs demonstrated high validation accuracy compared to in vitro experimental studies in the literature while also elucidating how estrogen signaling can modulate the effect of fibrotic cytokines via multi-pathway interactions. Further, perturbation analysis and drug screening uncovered several drug compounds predicted to generate divergent fibrotic responses in male vs. female conditions, which warrant further study in the pursuit of sex-specific treatment recommendations for cardiac fibrosis. Future model development and validation will require more generation of sex-specific data to further enhance modeling capabilities for clinically relevant sex-specific predictions of cardiac fibrosis and treatment.
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影响因子:
6
作者:
Watts K;Richardson WJ
通讯作者:
Richardson WJ
DOI:
10.18549/pharmpract.2016.01.708
发表时间:
2016-01
期刊:
Pharmacy practice
影响因子:
--
作者:
Liu KA;Mager NA
通讯作者:
Mager NA
影响因子:
20.1
作者:
Donaldson C;Eder S;Baker C;Aronovitz MJ;Weiss AD;Hall-Porter M;Wang F;Ackerman A;Karas RH;Molkentin JD;Patten RD
通讯作者:
Patten RD
影响因子:
7.9
作者:
Hendriksen LC;van der Linden PD;Lagro-Janssen ALM;van den Bemt PMLA;Siiskonen SJ;Teichert M;Kuiper JG;Herings RMC;Stricker BH;Visser LE
通讯作者:
Visser LE
DOI:
10.1038/s41569-018-0022-z
发表时间:
2018-08
期刊:
Nature reviews. Cardiology
影响因子:
--
作者:
Lindsey ML
通讯作者:
Lindsey ML