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2024 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 14, no 1, article id 5811Article in journal (Refereed) Published
Abstract [en]
New or mild heart failure (HF) is mainly caused by left ventricular dysfunction. We hypothesised that gene expression differ between the left (LV) and right ventricle (RV) and secondly by type of LV dysfunction. We compared gene expression through myocardial biopsies from LV and RV of patients undergoing elective coronary bypass surgery (CABG). Patients were categorised based on LV ejection fraction (EF), diastolic function and NT-proBNP into pEF (preserved; LVEF ≥ 45%), rEF (reduced; LVEF < 45%) or normal LV function. Principal component analysis of gene expression displayed two clusters corresponding to LV and RV. Up-regulated genes in LV included natriuretic peptides NPPA and NPPB, transcription factors/coactivators STAT4 and VGLL2, ion channel related HCN2 and LRRC38 associated with cardiac muscle contraction, cytoskeleton, and cellular component movement. Patients with pEF phenotype versus normal differed in gene expression predominantly in LV, supporting that diastolic dysfunction and structural changes reflect early LV disease in pEF. DKK2 was overexpressed in LV of HFpEF phenotype, potentially leading to lower expression levels of β-catenin, α-SMA (smooth muscle actin), and enhanced apoptosis, and could be a possible factor in the development of HFpEF. CXCL14 was down-regulated in both pEF and rEF, and may play a role to promote development of HF.
Place, publisher, year, edition, pages
Springer Nature, 2024
Keywords
Heart failure, Ischemic heart disease, Cardiac biopsy, Left ventricular dysfunction, Gene expression
National Category
Cardiology and Cardiovascular Disease
Identifiers
urn:nbn:se:uu:diva-531587 (URN)10.1038/s41598-024-56025-1 (DOI)001185505600023 ()38461325 (PubMedID)
Funder
Swedish Research Council, 2018-0899Swedish Research Council, 2020-01978Knut and Alice Wallenberg FoundationScience for Life Laboratory, SciLifeLab, 1377AstraZeneca, 1377eSSENCE - An eScience CollaborationUppsala UniversitySwedish National Infrastructure for Computing (SNIC)UPPMAX
2024-06-182024-06-182025-03-16Bibliographically approved