Literature DB >> 33558008

An integrative study of five biological clocks in somatic and mental health.

Rick Jansen1, Laura Km Han1, Josine E Verhoeven1, Karolina A Aberg2, Edwin Cgj van den Oord2, Yuri Milaneschi1, Brenda Wjh Penninx1.   

Abstract

Biological clocks have been developed at different molecular levels and were found to be more advanced in the presence of somatic illness and mental disorders. However, it is unclear whether different biological clocks reflect similar aging processes and determinants. In ~3000 subjects, we examined whether five biological clocks (telomere length, epigenetic, transcriptomic, proteomic, and metabolomic clocks) were interrelated and associated to somatic and mental health determinants. Correlations between biological aging indicators were small (all r < 0.2), indicating little overlap. The most consistent associations of advanced biological aging were found for male sex, higher body mass index (BMI), metabolic syndrome, smoking, and depression. As compared to the individual clocks, a composite index of all five clocks showed most pronounced associations with health determinants. The large effect sizes of the composite index and the low correlation between biological aging indicators suggest that one's biological age is best reflected by combining aging measures from multiple cellular levels.
© 2021, Jansen et al.

Entities:  

Keywords:  biological aging; cell biology; epigenetics; genetics; genomics; human; metabolomics; proteomics; telomere; transcriptomics

Mesh:

Substances:

Year:  2021        PMID: 33558008      PMCID: PMC7872513          DOI: 10.7554/eLife.59479

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  72 in total

Review 1.  Telomere Length and All-Cause Mortality: A Meta-analysis.

Authors:  Qi Wang; Yiqiang Zhan; Nancy L Pedersen; Fang Fang; Sara Hägg
Journal:  Ageing Res Rev       Date:  2018-09-22       Impact factor: 10.895

2.  Metabolomics Profile in Depression: A Pooled Analysis of 230 Metabolic Markers in 5283 Cases With Depression and 10,145 Controls.

Authors:  Mariska Bot; Yuri Milaneschi; Tahani Al-Shehri; Najaf Amin; Sanzhima Garmaeva; Gerrit L J Onderwater; Rene Pool; Carisha S Thesing; Lisanne S Vijfhuizen; Nicole Vogelzangs; Ilja C W Arts; Ayse Demirkan; Cornelia van Duijn; Marleen van Greevenbroek; Carla J H van der Kallen; Sebastian Köhler; Lannie Ligthart; Arn M J M van den Maagdenberg; Dennis O Mook-Kanamori; Renée de Mutsert; Henning Tiemeier; Miranda T Schram; Coen D A Stehouwer; Gisela M Terwindt; Ko Willems van Dijk; Jingyuan Fu; Alexandra Zhernakova; Marian Beekman; P Eline Slagboom; Dorret I Boomsma; Brenda W J H Penninx
Journal:  Biol Psychiatry       Date:  2019-08-29       Impact factor: 13.382

3.  Leukocyte Telomere Length and All-Cause, Cardiovascular Disease, and Cancer Mortality: Results From Individual-Participant-Data Meta-Analysis of 2 Large Prospective Cohort Studies.

Authors:  Ute Mons; Aysel Müezzinler; Ben Schöttker; Aida Karina Dieffenbach; Katja Butterbach; Matthias Schick; Anne Peasey; Immaculata De Vivo; Antonia Trichopoulou; Paolo Boffetta; Hermann Brenner
Journal:  Am J Epidemiol       Date:  2017-06-15       Impact factor: 4.897

4.  A methylation study of long-term depression risk.

Authors:  Shaunna L Clark; Mohammad W Hattab; Robin F Chan; Andrey A Shabalin; Laura K M Han; Min Zhao; Johannes H Smit; Rick Jansen; Yuri Milaneschi; Lin Ying Xie; Gerard van Grootheest; Brenda W J H Penninx; Karolina A Aberg; Edwin J C G van den Oord
Journal:  Mol Psychiatry       Date:  2019-09-09       Impact factor: 15.992

5.  Trans-eQTLs reveal that independent genetic variants associated with a complex phenotype converge on intermediate genes, with a major role for the HLA.

Authors:  Rudolf S N Fehrmann; Ritsert C Jansen; Jan H Veldink; Harm-Jan Westra; Danny Arends; Marc Jan Bonder; Jingyuan Fu; Patrick Deelen; Harry J M Groen; Asia Smolonska; Rinse K Weersma; Robert M W Hofstra; Wim A Buurman; Sander Rensen; Marcel G M Wolfs; Mathieu Platteel; Alexandra Zhernakova; Clara C Elbers; Eleanora M Festen; Gosia Trynka; Marten H Hofker; Christiaan G J Saris; Roel A Ophoff; Leonard H van den Berg; David A van Heel; Cisca Wijmenga; Gerard J Te Meerman; Lude Franke
Journal:  PLoS Genet       Date:  2011-08-04       Impact factor: 5.917

Review 6.  Aging, Obesity, and Inflammatory Age-Related Diseases.

Authors:  Daniela Frasca; Bonnie B Blomberg; Roberto Paganelli
Journal:  Front Immunol       Date:  2017-12-07       Impact factor: 7.561

7.  Serum proteomic profiles of depressive subtypes.

Authors:  F Lamers; M Bot; R Jansen; M K Chan; J D Cooper; S Bahn; B W J H Penninx
Journal:  Transl Psychiatry       Date:  2016-07-12       Impact factor: 6.222

8.  DNA methylation age of human tissues and cell types.

Authors:  Steve Horvath
Journal:  Genome Biol       Date:  2013       Impact factor: 13.583

9.  Aging effects on DNA methylation modules in human brain and blood tissue.

Authors:  Steve Horvath; Yafeng Zhang; Peter Langfelder; René S Kahn; Marco P M Boks; Kristel van Eijk; Leonard H van den Berg; Roel A Ophoff
Journal:  Genome Biol       Date:  2012-10-03       Impact factor: 13.583

Review 10.  Brain age and other bodily 'ages': implications for neuropsychiatry.

Authors:  James H Cole; Riccardo E Marioni; Sarah E Harris; Ian J Deary
Journal:  Mol Psychiatry       Date:  2018-06-11       Impact factor: 15.992

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  11 in total

Review 1.  Measuring biological age using omics data.

Authors:  Jarod Rutledge; Hamilton Oh; Tony Wyss-Coray
Journal:  Nat Rev Genet       Date:  2022-06-17       Impact factor: 53.242

2.  DunedinPACE, a DNA methylation biomarker of the pace of aging.

Authors:  Daniel W Belsky; Avshalom Caspi; David L Corcoran; Karen Sugden; Richie Poulton; Louise Arseneault; Andrea Baccarelli; Kartik Chamarti; Xu Gao; Eilis Hannon; Hona Lee Harrington; Renate Houts; Meeraj Kothari; Dayoon Kwon; Jonathan Mill; Joel Schwartz; Pantel Vokonas; Cuicui Wang; Benjamin S Williams; Terrie E Moffitt
Journal:  Elife       Date:  2022-01-14       Impact factor: 8.713

3.  Testing Black-White Disparities in Biological Aging Among Older Adults in the United States: Analysis of DNA-Methylation and Blood-Chemistry Methods.

Authors:  Gloria H Graf; Christopher L Crowe; Meeraj Kothari; Dayoon Kwon; Jennifer J Manly; Indira C Turney; Linda Valeri; Daniel W Belsky
Journal:  Am J Epidemiol       Date:  2022-03-24       Impact factor: 5.363

4.  Does Modulation of an Epigenetic Clock Define a Geroprotector?

Authors:  Nicholas J Schork; Brett Beaulieu-Jones; Winnie Liang; Susan Smalley; Laura H Goetz
Journal:  Adv Geriatr Med Res       Date:  2022-03-29

5.  Unite to predict.

Authors:  Meeraj Kothari; Daniel W Belsky
Journal:  Elife       Date:  2021-02-12       Impact factor: 8.140

Review 6.  Fundamental Clock of Biological Aging: Convergence of Molecular, Neurodegenerative, Cognitive and Psychiatric Pathways: Non-Equilibrium Thermodynamics Meet Psychology.

Authors:  Victor V Dyakin; Nuka V Dyakina-Fagnano; Laura B Mcintire; Vladimir N Uversky
Journal:  Int J Mol Sci       Date:  2021-12-28       Impact factor: 5.923

7.  The metabolome as a biomarker of aging in Drosophila melanogaster.

Authors:  Xiaqing Zhao; Forrest T Golic; Benjamin R Harrison; Meghna Manoj; Elise V Hoffman; Neta Simon; Richard Johnson; Michael J MacCoss; Lauren M McIntyre; Daniel E L Promislow
Journal:  Aging Cell       Date:  2022-01-12       Impact factor: 9.304

8.  A catalogue of omics biological ageing clocks reveals substantial commonality and associations with disease risk.

Authors:  Erin Macdonald-Dunlop; Nele Taba; Lucija Klarić; Azra Frkatović; Rosie Walker; Caroline Hayward; Tõnu Esko; Chris Haley; Krista Fischer; James F Wilson; Peter K Joshi
Journal:  Aging (Albany NY)       Date:  2022-01-24       Impact factor: 5.955

9.  Contributing factors to advanced brain aging in depression and anxiety disorders.

Authors:  Laura K M Han; Hugo G Schnack; Rachel M Brouwer; Dick J Veltman; Nic J A van der Wee; Marie-José van Tol; Moji Aghajani; Brenda W J H Penninx
Journal:  Transl Psychiatry       Date:  2021-07-21       Impact factor: 6.222

10.  Identification of Mortality Risks in the Advancement of Old Age: Application of Proportional Hazard Models Based on the Stepwise Variable Selection and the Bayesian Model Averaging Approach.

Authors:  Ewelina Łukaszyk; Katarzyna Bień-Barkowska; Barbara Bień
Journal:  Nutrients       Date:  2021-03-27       Impact factor: 5.717

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