Cargando…
Epidemiology of 40 blood biomarkers of one-carbon metabolism, vitamin status, inflammation, and renal and endothelial function among cancer-free older adults
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 ren...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257595/ https://www.ncbi.nlm.nih.gov/pubmed/34226613 http://dx.doi.org/10.1038/s41598-021-93214-8 |
_version_ | 1783718345168650240 |
---|---|
author | Zahed, Hana Johansson, Mattias Ueland, Per M. Midttun, Øivind Milne, Roger L. Giles, Graham G. Manjer, Jonas Sandsveden, Malte Langhammer, Arnulf Sørgjerd, Elin Pettersen Grankvist, Kjell Johansson, Mikael Freedman, Neal D. Huang, Wen-Yi Chen, Chu Prentice, Ross Stevens, Victoria L. Wang, Ying Le Marchand, Loic Wilkens, Lynne R. Weinstein, Stephanie J. Albanes, Demetrius Cai, Qiuyin Blot, William J. Arslan, Alan A. Zeleniuch-Jacquotte, Anne Shu, Xiao-Ou Zheng, Wei Yuan, Jian-Min Koh, Woon-Puay Visvanathan, Kala Sesso, Howard D. Zhang, Xuehong Gaziano, J. Michael Fanidi, Anouar Muller, David Brennan, Paul Guida, Florence Robbins, Hilary A. |
author_facet | Zahed, Hana Johansson, Mattias Ueland, Per M. Midttun, Øivind Milne, Roger L. Giles, Graham G. Manjer, Jonas Sandsveden, Malte Langhammer, Arnulf Sørgjerd, Elin Pettersen Grankvist, Kjell Johansson, Mikael Freedman, Neal D. Huang, Wen-Yi Chen, Chu Prentice, Ross Stevens, Victoria L. Wang, Ying Le Marchand, Loic Wilkens, Lynne R. Weinstein, Stephanie J. Albanes, Demetrius Cai, Qiuyin Blot, William J. Arslan, Alan A. Zeleniuch-Jacquotte, Anne Shu, Xiao-Ou Zheng, Wei Yuan, Jian-Min Koh, Woon-Puay Visvanathan, Kala Sesso, Howard D. Zhang, Xuehong Gaziano, J. Michael Fanidi, Anouar Muller, David Brennan, Paul Guida, Florence Robbins, Hilary A. |
author_sort | Zahed, Hana |
collection | PubMed |
description | 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/m(2) 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. |
format | Online Article Text |
id | pubmed-8257595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82575952021-07-06 Epidemiology of 40 blood biomarkers of one-carbon metabolism, vitamin status, inflammation, and renal and endothelial function among cancer-free older adults Zahed, Hana Johansson, Mattias Ueland, Per M. Midttun, Øivind Milne, Roger L. Giles, Graham G. Manjer, Jonas Sandsveden, Malte Langhammer, Arnulf Sørgjerd, Elin Pettersen Grankvist, Kjell Johansson, Mikael Freedman, Neal D. Huang, Wen-Yi Chen, Chu Prentice, Ross Stevens, Victoria L. Wang, Ying Le Marchand, Loic Wilkens, Lynne R. Weinstein, Stephanie J. Albanes, Demetrius Cai, Qiuyin Blot, William J. Arslan, Alan A. Zeleniuch-Jacquotte, Anne Shu, Xiao-Ou Zheng, Wei Yuan, Jian-Min Koh, Woon-Puay Visvanathan, Kala Sesso, Howard D. Zhang, Xuehong Gaziano, J. Michael Fanidi, Anouar Muller, David Brennan, Paul Guida, Florence Robbins, Hilary A. Sci Rep Article 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/m(2) 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. Nature Publishing Group UK 2021-07-05 /pmc/articles/PMC8257595/ /pubmed/34226613 http://dx.doi.org/10.1038/s41598-021-93214-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zahed, Hana Johansson, Mattias Ueland, Per M. Midttun, Øivind Milne, Roger L. Giles, Graham G. Manjer, Jonas Sandsveden, Malte Langhammer, Arnulf Sørgjerd, Elin Pettersen Grankvist, Kjell Johansson, Mikael Freedman, Neal D. Huang, Wen-Yi Chen, Chu Prentice, Ross Stevens, Victoria L. Wang, Ying Le Marchand, Loic Wilkens, Lynne R. Weinstein, Stephanie J. Albanes, Demetrius Cai, Qiuyin Blot, William J. Arslan, Alan A. Zeleniuch-Jacquotte, Anne Shu, Xiao-Ou Zheng, Wei Yuan, Jian-Min Koh, Woon-Puay Visvanathan, Kala Sesso, Howard D. Zhang, Xuehong Gaziano, J. Michael Fanidi, Anouar Muller, David Brennan, Paul Guida, Florence Robbins, Hilary A. Epidemiology of 40 blood biomarkers of one-carbon metabolism, vitamin status, inflammation, and renal and endothelial function among cancer-free older adults |
title | Epidemiology of 40 blood biomarkers of one-carbon metabolism, vitamin status, inflammation, and renal and endothelial function among cancer-free older adults |
title_full | Epidemiology of 40 blood biomarkers of one-carbon metabolism, vitamin status, inflammation, and renal and endothelial function among cancer-free older adults |
title_fullStr | Epidemiology of 40 blood biomarkers of one-carbon metabolism, vitamin status, inflammation, and renal and endothelial function among cancer-free older adults |
title_full_unstemmed | Epidemiology of 40 blood biomarkers of one-carbon metabolism, vitamin status, inflammation, and renal and endothelial function among cancer-free older adults |
title_short | Epidemiology of 40 blood biomarkers of one-carbon metabolism, vitamin status, inflammation, and renal and endothelial function among cancer-free older adults |
title_sort | epidemiology of 40 blood biomarkers of one-carbon metabolism, vitamin status, inflammation, and renal and endothelial function among cancer-free older adults |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257595/ https://www.ncbi.nlm.nih.gov/pubmed/34226613 http://dx.doi.org/10.1038/s41598-021-93214-8 |
work_keys_str_mv | AT zahedhana epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT johanssonmattias epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT uelandperm epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT midttunøivind epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT milnerogerl epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT gilesgrahamg epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT manjerjonas epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT sandsvedenmalte epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT langhammerarnulf epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT sørgjerdelinpettersen epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT grankvistkjell epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT johanssonmikael epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT freedmanneald epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT huangwenyi epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT chenchu epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT prenticeross epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT stevensvictorial epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT wangying epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT lemarchandloic epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT wilkenslynner epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT weinsteinstephaniej epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT albanesdemetrius epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT caiqiuyin epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT blotwilliamj epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT arslanalana epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT zeleniuchjacquotteanne epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT shuxiaoou epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT zhengwei epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT yuanjianmin epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT kohwoonpuay epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT visvanathankala epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT sessohowardd epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT zhangxuehong epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT gazianojmichael epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT fanidianouar epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT mullerdavid epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT brennanpaul epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT guidaflorence epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults AT robbinshilarya epidemiologyof40bloodbiomarkersofonecarbonmetabolismvitaminstatusinflammationandrenalandendothelialfunctionamongcancerfreeolderadults |