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dc.contributor.authorZahed, Hana
dc.contributor.authorJohansson, Mattias
dc.contributor.authorUeland, Per Magne
dc.contributor.authorMidttun, Øivind
dc.contributor.authorMilne, Roger L.
dc.contributor.authorGiles, Graham G.
dc.contributor.authorManjer, Jonas
dc.contributor.authorSandsveden, Malte
dc.contributor.authorLanghammer, Arnulf
dc.contributor.authorSørgjerd, Elin Pettersen
dc.contributor.authorGrankvist, Kjell
dc.contributor.authorJohansson, Mikael
dc.contributor.authorFreedman, Neal D.
dc.contributor.authorHuang, Wen-Yi
dc.contributor.authorChen, Chu
dc.contributor.authorPrentice, Ross
dc.contributor.authorStevens, Victoria L.
dc.contributor.authorWang, Ying
dc.contributor.authorLe Marchand, Loic
dc.contributor.authorWilkens, Lynne R.
dc.contributor.authorWeinstein, Stephanie J.
dc.contributor.authorAlbanes, Demetrius
dc.contributor.authorCai, Qiuyin
dc.contributor.authorBlot, William J.
dc.contributor.authorArslan, Alan A.
dc.contributor.authorZeleniuch-Jacquotte, Anne
dc.contributor.authorShu, Xiao-Ou
dc.contributor.authorZheng, Wei
dc.contributor.authorYuan, Jian-Min
dc.contributor.authorKoh, Woon-Puay
dc.contributor.authorVisvanathan, Kala
dc.contributor.authorSesso, Howard D.
dc.contributor.authorZhang, Xuehong
dc.contributor.authorGaziano, J. Michael
dc.contributor.authorFanidi, Anouar
dc.contributor.authorMuller, David
dc.contributor.authorBrennan, Paul
dc.contributor.authorGuida, Florence
dc.contributor.authorRobbins, Hilary A.
dc.description.abstractImbalances 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 < 0.05) association with time since smoking cessation was observed for 8 markers, including C-reactive protein, kynurenine, choline, and total homocysteine. We conclude that most blood biomarkers show small variations across demographic characteristics. Patterns by smoking status point to normalization of multiple physiological processes after smoking cessation.en_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titleEpidemiology of 40 blood biomarkers of one-carbon metabolism, vitamin status, inflammation, and renal and endothelial function among cancer-free older adultsen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.rights.holderCopyright 2021 The Author(s)en_US
dc.source.journalScientific Reportsen_US
dc.identifier.citationScientific Reports. 2021, 11, 13805.en_US

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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal