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Lindovsky, J.* ; Nichtová, Z.* ; Dragano, N.R.V. ; Pajuelo Reguera, D.* ; Prochazka, J.* ; Fuchs, H. ; Marschall, S. ; Gailus-Durner, V. ; Sedlacek, R.* ; Hrabě de Angelis, M. ; Rozman, J.* ; Spielmann, N.

A review of standardized high-throughput cardiovascular phenotyping with a link to metabolism in mice.

Mamm. Genome 34, 107-122 (2023)
Publ. Version/Full Text DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
Cardiovascular diseases cause a high mortality rate worldwide and represent a major burden for health care systems. Experimental rodent models play a central role in cardiovascular disease research by effectively simulating human cardiovascular diseases. Using mice, the International Mouse Phenotyping Consortium (IMPC) aims to target each protein-coding gene and phenotype multiple organ systems in single-gene knockout models by a global network of mouse clinics. In this review, we summarize the current advances of the IMPC in cardiac research and describe in detail the diagnostic requirements of high-throughput electrocardiography and transthoracic echocardiography capable of detecting cardiac arrhythmias and cardiomyopathies in mice. Beyond that, we are linking metabolism to the heart and describing phenotypes that emerge in a set of known genes, when knocked out in mice, such as the leptin receptor (Lepr), leptin (Lep), and Bardet–Biedl syndrome 5 (Bbs5). Furthermore, we are presenting not yet associated loss-of-function genes affecting both, metabolism and the cardiovascular system, such as the RING finger protein 10 (Rfn10), F-box protein 38 (Fbxo38), and Dipeptidyl peptidase 8 (Dpp8). These extensive high-throughput data from IMPC mice provide a promising opportunity to explore genetics causing metabolic heart disease with an important translational approach.
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Publication type Article: Journal article
Document type Review
Keywords Energy-metabolism; Knockout Mice; Mouse; Heart; Mutations; Genes; Genome; Echocardiography; Identification; Generation
Language english
Publication Year 2023
HGF-reported in Year 2023
ISSN (print) / ISBN 0938-8990
e-ISSN 1432-1777
Quellenangaben Volume: 34, Issue: 2, Pages: 107-122 Article Number: , Supplement: ,
Publisher Springer
Publishing Place One New York Plaza, Suite 4600, New York, Ny, United States
Reviewing status Peer reviewed
POF-Topic(s) 30201 - Metabolic Health
90000 - German Center for Diabetes Research
Research field(s) Genetics and Epidemiology
PSP Element(s) G-500692-001
G-500600-001
G-501900-065
Scopus ID 85162027607
PubMed ID 37326672
Erfassungsdatum 2023-10-18