Literature DB >> 35864375

Circulating cell-free DNA in health and disease - the relationship to health behaviours, ageing phenotypes and metabolomics.

Laura Kananen1,2,3, Mikko Hurme4, Alexander Bürkle5, Maria Moreno-Villanueva5, Jürgen Bernhardt6, Florence Debacq-Chainiaux7, Beatrix Grubeck-Loebenstein8, Marco Malavolta9, Andrea Basso9, Francesco Piacenza9, Sebastiano Collino10, Efstathios S Gonos11, Ewa Sikora12, Daniela Gradinaru13, Eugene H J M Jansen14, Martijn E T Dollé14, Michel Salmon15, Wolfgang Stuetz16, Daniela Weber17, Tilman Grune17,18,19, Nicolle Breusing19, Andreas Simm20, Miriam Capri21, Claudio Franceschi21, Eline Slagboom22, Duncan Talbot23, Claude Libert24,25, Jani Raitanen26, Seppo Koskinen27, Tommi Härkänen27, Sari Stenholm28,29, Mika Ala-Korpela30,31,32, Terho Lehtimäki33,34,35, Olli T Raitakari29,36,37, Olavi Ukkola38, Mika Kähönen33,34,39, Marja Jylhä26, Juulia Jylhävä40,26.   

Abstract

Circulating cell-free DNA (cf-DNA) has emerged as a promising biomarker of ageing, tissue damage and cellular stress. However, less is known about health behaviours, ageing phenotypes and metabolic processes that lead to elevated cf-DNA levels. We sought to analyse the relationship of circulating cf-DNA level to age, sex, smoking, physical activity, vegetable consumption, ageing phenotypes (physical functioning, the number of diseases, frailty) and an extensive panel of biomarkers including blood and urine metabolites and inflammatory markers in three human cohorts (N = 5385; 17-82 years). The relationships were assessed using correlation statistics, and linear and penalised regressions (the Lasso), also stratified by sex.cf-DNA levels were significantly higher in men than in women, and especially in middle-aged men and women who smoke, and in older more frail individuals. Correlation statistics of biomarker data showed that cf-DNA level was higher with elevated inflammation (C-reactive protein, interleukin-6), and higher levels of homocysteine, and proportion of red blood cells and lower levels of ascorbic acid. Inflammation (C-reactive protein, glycoprotein acetylation), amino acids (isoleucine, leucine, tyrosine), and ketogenesis (3-hydroxybutyrate) were included in the cf-DNA level-related biomarker profiles in at least two of the cohorts.In conclusion, circulating cf-DNA level is different by sex, and related to health behaviour, health decline and metabolic processes common in health and disease. These results can inform future studies where epidemiological and biological pathways of cf-DNA are to be analysed in details, and for studies evaluating cf-DNA as a potential clinical marker.
© 2022. The Author(s).

Entities:  

Keywords:  Biomarker of ageing; Cell-free DNA; Frailty; Health behaviours; Metabolomics; Morbidity

Year:  2022        PMID: 35864375     DOI: 10.1007/s11357-022-00590-8

Source DB:  PubMed          Journal:  Geroscience        ISSN: 2509-2723            Impact factor:   7.581


  68 in total

1.  Circulating cell-free DNA is associated with mortality and inflammatory markers in nonagenarians: the Vitality 90+ Study.

Authors:  Juulia Jylhävä; Marja Jylhä; Terho Lehtimäki; Antti Hervonen; Mikko Hurme
Journal:  Exp Gerontol       Date:  2012-03-03       Impact factor: 4.032

2.  Cell-free plasma DNA as a predictor of outcome in severe sepsis and septic shock.

Authors:  Katri Saukkonen; Päivi Lakkisto; Ville Pettilä; Marjut Varpula; Sari Karlsson; Esko Ruokonen; Kari Pulkki
Journal:  Clin Chem       Date:  2008-04-17       Impact factor: 8.327

3.  Cell-free DNA levels as a prognostic marker in acute myocardial infarction.

Authors:  Dionisios Antonatos; Sotirios Patsilinakos; Stavros Spanodimos; Panagiotis Korkonikitas; D Tsigas
Journal:  Ann N Y Acad Sci       Date:  2006-09       Impact factor: 5.691

4.  Circulating extracellular DNA is in association with continuous metabolic syndrome score in healthy adolescents.

Authors:  Peter Celec; Ĺubica Janovičová; Radana Gurecká; Ivana Koborová; Roman Gardlík; Katarína Šebeková
Journal:  Physiol Genomics       Date:  2021-06-07       Impact factor: 3.107

5.  Admission cell free DNA levels predict 28-day mortality in patients with severe sepsis in intensive care.

Authors:  Avital Avriel; Maya Paryente Wiessman; Yaniv Almog; Yael Perl; Victor Novack; Ori Galante; Moti Klein; Michael J Pencina; Amos Douvdevani
Journal:  PLoS One       Date:  2014-06-23       Impact factor: 3.240

6.  Endotheliopathy is associated with higher levels of cell-free DNA following major trauma: A prospective observational study.

Authors:  David N Naumann; Jon Hazeldine; Robert J Dinsdale; Jon R Bishop; Mark J Midwinter; Paul Harrison; Sam D Hutchings; Janet M Lord
Journal:  PLoS One       Date:  2017-12-19       Impact factor: 3.240

7.  Cell-free DNA as a biomarker of aging.

Authors:  Yee Voan Teo; Miriam Capri; Cristina Morsiani; Grazia Pizza; Ana Maria Caetano Faria; Claudio Franceschi; Nicola Neretti
Journal:  Aging Cell       Date:  2018-12-20       Impact factor: 9.304

8.  Self-rated health in individuals with and without disease is associated with multiple biomarkers representing multiple biological domains.

Authors:  L Kananen; L Enroth; J Raitanen; J Jylhävä; A Bürkle; M Moreno-Villanueva; J Bernhardt; O Toussaint; B Grubeck-Loebenstein; M Malavolta; A Basso; F Piacenza; S Collino; E S Gonos; E Sikora; D Gradinaru; E H J M Jansen; M E T Dollé; M Salmon; W Stuetz; D Weber; T Grune; N Breusing; A Simm; M Capri; C Franceschi; P E Slagboom; D C S Talbot; C Libert; S Koskinen; H Bruunsgaard; Å M Hansen; R Lund; M Hurme; M Jylhä
Journal:  Sci Rep       Date:  2021-03-17       Impact factor: 4.379

9.  High cell-free DNA predicts fatal outcome among Staphylococcus aureus bacteraemia patients with intensive care unit treatment.

Authors:  Erik Forsblom; Janne Aittoniemi; Eeva Ruotsalainen; Visa Helmijoki; Reetta Huttunen; Juulia Jylhävä; Mikko Hurme; Asko Järvinen
Journal:  PLoS One       Date:  2014-02-10       Impact factor: 3.240

10.  Circulating cell-free DNA level predicts all-cause mortality independent of other predictors in the Health 2000 survey.

Authors:  L Kananen; M Hurme; M Jylhä; T Härkänen; S Koskinen; S Stenholm; M Kähönen; T Lehtimäki; O Ukkola; J Jylhävä
Journal:  Sci Rep       Date:  2020-08-14       Impact factor: 4.379

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