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Epidemiology of 40 blood biomarkers of one-carbon metabolism, vitamin status, inflammation, and renal and endothelial function among cancer-free older adults

Authors :
Woon-Puay Koh
Mattias Johansson
Jian-Min Yuan
Kjell Grankvist
Howard D. Sesso
Demetrius Albanes
Elin Pettersen Sørgjerd
Mikael Johansson
Xiao-Ou Shu
Graham G. Giles
Kala Visvanathan
Loic Le Marchand
Paul Brennan
Malte Sandsveden
Ross L. Prentice
Alan A. Arslan
Qiuyin Cai
Neal D. Freedman
Roger L. Milne
Jonas Manjer
J. Michael Gaziano
Hilary A. Robbins
Lynne R. Wilkens
Victoria L. Stevens
Hana Zahed
Florence Guida
Chu Chen
Wen Yi Huang
Anne Zeleniuch-Jacquotte
Stephanie J. Weinstein
Per Magne Ueland
Arnulf Langhammer
Xuehong Zhang
Wei Zheng
Ying Wang
William J. Blot
Anouar Fanidi
David C. Muller
Øivind Midttun
Source :
Scientific Reports, Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Publication Year :
2021
Publisher :
Umeå universitet, Klinisk kemi, 2021.

Abstract

Imbalances of blood biomarkers are associated with disease, and biomarkers may also vary non-pathologically across population groups. We described variation in concentrations of biomarkers of one-carbon metabolism, vitamin status, inflammation including tryptophan metabolism, and endothelial and renal function among cancer-free older adults. We analyzed 5167 cancer-free controls aged 40–80 years from 20 cohorts in the Lung Cancer Cohort Consortium (LC3). Centralized biochemical analyses of 40 biomarkers in plasma or serum were performed. We fit multivariable linear mixed effects models to quantify variation in standardized biomarker log-concentrations across four factors: age, sex, smoking status, and body mass index (BMI). Differences in most biomarkers across most factors were small, with 93% (186/200) of analyses showing an estimated difference lower than 0.25 standard-deviations, although most were statistically significant due to large sample size. The largest difference was for creatinine by sex, which was − 0.91 standard-deviations lower in women than men (95%CI − 0.98; − 0.84). The largest difference by age was for total cysteine (0.40 standard-deviation increase per 10-year increase, 95%CI 0.36; 0.43), and by BMI was for C-reactive protein (0.38 standard-deviation increase per 5-kg/m2 increase, 95%CI 0.34; 0.41). For 31 of 40 markers, the mean difference between current and never smokers was larger than between former and never smokers. A statistically significant (p

Details

Language :
English
Database :
OpenAIRE
Journal :
Scientific Reports, Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Accession number :
edsair.doi.dedup.....f88e5ec64851b7b23a7e47bb7a5b3207