Imperial College London

ProfessorPaulElliott

Faculty of MedicineSchool of Public Health

Chair in Epidemiology and Public Health Medicine
 
 
 
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Contact

 

+44 (0)20 7594 3328p.elliott Website

 
 
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Assistant

 

Miss Jennifer Wells +44 (0)20 7594 3328

 
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Location

 

154Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Robinson:2020:10.1111/acel.13149,
author = {Robinson, O and Chadeau, Hyam M and Karaman, I and Climaco, Pinto R and Ala-Korpela, M and Handakas, E and Fiorito, G and Gao, H and Heard, A and Jarvelin, M-R and Lewis, M and Pazoki, R and Polidoro, S and Tzoulaki, I and Wielscher, M and Elliott, P and Vineis, P},
doi = {10.1111/acel.13149},
journal = {Aging Cell},
pages = {1--13},
title = {Determinants of accelerated metabolomic and epigenetic ageing in a UK cohort},
url = {http://dx.doi.org/10.1111/acel.13149},
volume = {19},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Markers of biological aging have potential utility in primary care and public health. We developed a model of age based on untargeted metabolic profiling across multiple platforms, including nuclear magnetic resonance spectroscopy and liquid chromatography–mass spectrometry in urine and serum, within a large sample (N = 2,239) from the UK Airwave cohort. We validated a subset of model predictors in a Finnish cohort including repeat measurements from 2,144 individuals. We investigated the determinants of accelerated aging, including lifestyle and psychological risk factors for premature mortality. The metabolomic age model was well correlated with chronological age (mean r = .86 across independent test sets). Increased metabolomic age acceleration (mAA) was associated after false discovery rate (FDR) correction with overweight/obesity, diabetes, heavy alcohol use and depression. DNA methylation age acceleration measures were uncorrelated with mAA. Increased DNA methylation phenotypic age acceleration (N = 1,110) was associated after FDR correction with heavy alcohol use, hypertension and low income. In conclusion, metabolomics is a promising approach for the assessment of biological age and appears complementary to established epigenetic clocks.
AU - Robinson,O
AU - Chadeau,Hyam M
AU - Karaman,I
AU - Climaco,Pinto R
AU - Ala-Korpela,M
AU - Handakas,E
AU - Fiorito,G
AU - Gao,H
AU - Heard,A
AU - Jarvelin,M-R
AU - Lewis,M
AU - Pazoki,R
AU - Polidoro,S
AU - Tzoulaki,I
AU - Wielscher,M
AU - Elliott,P
AU - Vineis,P
DO - 10.1111/acel.13149
EP - 13
PY - 2020///
SN - 1474-9718
SP - 1
TI - Determinants of accelerated metabolomic and epigenetic ageing in a UK cohort
T2 - Aging Cell
UR - http://dx.doi.org/10.1111/acel.13149
UR - https://onlinelibrary.wiley.com/doi/full/10.1111/acel.13149
UR - http://hdl.handle.net/10044/1/79004
VL - 19
ER -