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Myocardial transcriptional, and proteomic landscapes across the pre-menopausal, peri-menopasual, and menopasual continuum

GSE264423 Mus musculus Expression profiling by high throughput sequencing 12 samples 2024/09/30 GPL24247
Summary
More women than men have died from heart disease over the last 20-25 years, with morbidity and mortality rising in women after menopause supported to be result of decreased circulating estrogen. Current literature lacks an understanding of the cellular and molecular mechanisms that capture the shift in susceptibility to cardiovascular disease (CVD) during the menopausal transition from pre- to peri- to menopause. Therefore, through use of a chemical model (4-vinylcyclohexene diepoxide; VCD) of ovarian failure, which allows us to preserve the peri-menopause state, we performed transcriptomic and proteomic analysis on post-mortem heart tissue. In general, pre-, peri-, and menopausal hearts clustered more closely (most similar) within each experimental group and perimenopausal hearts clustered more closely with premenopausal hearts than menopausal hearts (least similar). Both proteomes and transcriptomes showed similar trends in genes associated with atherothrombosis, contractility, and impaired nuclear signaling between pre-, peri-, and menopausal hearts. From this, we emphasized a menopause and angiotensin II (AngII) effect on AMP-activated protein kinase (AMPK) signaling and histone deacetylase (HDAC) activity where we found both an estrogen- and pathologic-dependent increase in phosphorylation of AMPK and decrease in class I HDAC activity. Additionally, we found a menopause-dependent decrease in class IIa HDAC activity and increase in class IIb activity. These findings suggest unique changes in pre-, peri-, and menopausal mice indicative of metabolic reprogramming and adverse cardiac remodeling with loss of estrogen.
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NCBI GEO page ↗ Paper (PMID 40266891) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more mouse RNA-seq datasets →
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