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Garger, D. ; Meinel, M. ; Dietl, T. ; Hillig, C. ; Garzorz-Stark, N.* ; Eyerich, K.* ; Hrabě de Angelis, M. ; Eyerich, S. ; Menden, M.P.

The impact of the cardiovascular component and somatic mutations on ageing.

Aging Cell 22:e13957 (2023)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Mechanistic insight into ageing may empower prolonging the lifespan of humans; however, a complete understanding of this process is still lacking despite a plethora of ageing theories. In order to address this, we investigated the association of lifespan with eight phenotypic traits, that is, litter size, body mass, female and male sexual maturity, somatic mutation, heart, respiratory, and metabolic rate. In support of the somatic mutation theory, we analysed 15 mammalian species and their whole-genome sequencing deriving somatic mutation rate, which displayed the strongest negative correlation with lifespan. All remaining phenotypic traits showed almost equivalent strong associations across this mammalian cohort, however, resting heart rate explained additional variance in lifespan. Integrating somatic mutation and resting heart rate boosted the prediction of lifespan, thus highlighting that resting heart rate may either directly influence lifespan, or represents an epiphenomenon for additional lower-level mechanisms, for example, metabolic rate, that are associated with lifespan.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Aging ; Animals ; Biology ; Biostatistics ; Female ; Humans ; Litter Size ; Longevity ; Male ; Mammals ; Mutation ; Phenotype; Heart-rate-variability; Metabolic-rate; Life-span; Phylogenetic Signal; Body-size; Atherosclerosis; Determinants; Mechanisms; Rates; Time
Sprache englisch
Veröffentlichungsjahr 2023
HGF-Berichtsjahr 2023
ISSN (print) / ISBN 1474-9718
e-ISSN 1474-9726
Zeitschrift Aging Cell
Quellenangaben Band: 22, Heft: 10, Seiten: , Artikelnummer: e13957 Supplement: ,
Verlag Wiley
Verlagsort 111 River St, Hoboken 07030-5774, Nj Usa
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)
Institute of Experimental Genetics (IEG)
Institute for Allergy Research (IAF)
POF Topic(s) 30205 - Bioengineering and Digital Health
90000 - German Center for Diabetes Research
30201 - Metabolic Health
30202 - Environmental Health
Forschungsfeld(er) Enabling and Novel Technologies
Genetics and Epidemiology
Allergy
PSP-Element(e) G-554700-001
G-501900-382
G-500600-001
G-505490-001
Förderungen European Research Council (ERC)
Helmholtz Association under the joint research school "Munich School for Data Science -MUDS"
European Union
DOI 10.1111/acel.13957
WOS ID 001052728800001
Scopus ID 85168702037
PubMed ID 37608601
Erfassungsdatum 2023-10-06
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