Cargando…

Metabolic profiles of socio-economic position: a multi-cohort analysis

BACKGROUND: Low socio-economic position (SEP) is a risk factor for multiple health outcomes, but its molecular imprints in the body remain unclear. METHODS: We examined SEP as a determinant of serum nuclear magnetic resonance metabolic profiles in ∼30 000 adults and 4000 children across 10 UK and Fi...

Descripción completa

Detalles Bibliográficos
Autores principales: Robinson, Oliver, Carter, Alice R, Ala-Korpela, Mika, Casas, Juan P, Chaturvedi, Nishi, Engmann, Jorgen, Howe, Laura D, Hughes, Alun D, Järvelin, Marjo-Riitta, Kähönen, Mika, Karhunen, Ville, Kuh, Diana, Shah, Tina, Ben-Shlomo, Yoav, Sofat, Reecha, Lau, Chung-Ho E, Lehtimäki, Terho, Menon, Usha, Raitakari, Olli, Ryan, Andy, Providencia, Rui, Smith, Stephanie, Taylor, Julie, Tillin, Therese, Viikari, Jorma, Wong, Andrew, Hingorani, Aroon D, Kivimäki, Mika, Vineis, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271201/
https://www.ncbi.nlm.nih.gov/pubmed/33221853
http://dx.doi.org/10.1093/ije/dyaa188
_version_ 1783720948607746048
author Robinson, Oliver
Carter, Alice R
Ala-Korpela, Mika
Casas, Juan P
Chaturvedi, Nishi
Engmann, Jorgen
Howe, Laura D
Hughes, Alun D
Järvelin, Marjo-Riitta
Kähönen, Mika
Karhunen, Ville
Kuh, Diana
Shah, Tina
Ben-Shlomo, Yoav
Sofat, Reecha
Lau, Chung-Ho E
Lehtimäki, Terho
Menon, Usha
Raitakari, Olli
Ryan, Andy
Providencia, Rui
Smith, Stephanie
Taylor, Julie
Tillin, Therese
Viikari, Jorma
Wong, Andrew
Hingorani, Aroon D
Kivimäki, Mika
Vineis, Paolo
author_facet Robinson, Oliver
Carter, Alice R
Ala-Korpela, Mika
Casas, Juan P
Chaturvedi, Nishi
Engmann, Jorgen
Howe, Laura D
Hughes, Alun D
Järvelin, Marjo-Riitta
Kähönen, Mika
Karhunen, Ville
Kuh, Diana
Shah, Tina
Ben-Shlomo, Yoav
Sofat, Reecha
Lau, Chung-Ho E
Lehtimäki, Terho
Menon, Usha
Raitakari, Olli
Ryan, Andy
Providencia, Rui
Smith, Stephanie
Taylor, Julie
Tillin, Therese
Viikari, Jorma
Wong, Andrew
Hingorani, Aroon D
Kivimäki, Mika
Vineis, Paolo
author_sort Robinson, Oliver
collection PubMed
description BACKGROUND: Low socio-economic position (SEP) is a risk factor for multiple health outcomes, but its molecular imprints in the body remain unclear. METHODS: We examined SEP as a determinant of serum nuclear magnetic resonance metabolic profiles in ∼30 000 adults and 4000 children across 10 UK and Finnish cohort studies. RESULTS: In risk-factor-adjusted analysis of 233 metabolic measures, low educational attainment was associated with 37 measures including higher levels of triglycerides in small high-density lipoproteins (HDL) and lower levels of docosahexaenoic acid (DHA), omega-3 fatty acids, apolipoprotein A1, large and very large HDL particles (including levels of their respective lipid constituents) and cholesterol measures across different density lipoproteins. Among adults whose father worked in manual occupations, associations with apolipoprotein A1, large and very large HDL particles and HDL-2 cholesterol remained after adjustment for SEP in later life. Among manual workers, levels of glutamine were higher compared with non-manual workers. All three indicators of low SEP were associated with lower DHA, omega-3 fatty acids and HDL diameter. At all ages, children of manual workers had lower levels of DHA as a proportion of total fatty acids. CONCLUSIONS: Our work indicates that social and economic factors have a measurable impact on human physiology. Lower SEP was independently associated with a generally unfavourable metabolic profile, consistent across ages and cohorts. The metabolites we found to be associated with SEP, including DHA, are known to predict cardiovascular disease and cognitive decline in later life and may contribute to health inequalities.
format Online
Article
Text
id pubmed-8271201
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-82712012021-07-12 Metabolic profiles of socio-economic position: a multi-cohort analysis Robinson, Oliver Carter, Alice R Ala-Korpela, Mika Casas, Juan P Chaturvedi, Nishi Engmann, Jorgen Howe, Laura D Hughes, Alun D Järvelin, Marjo-Riitta Kähönen, Mika Karhunen, Ville Kuh, Diana Shah, Tina Ben-Shlomo, Yoav Sofat, Reecha Lau, Chung-Ho E Lehtimäki, Terho Menon, Usha Raitakari, Olli Ryan, Andy Providencia, Rui Smith, Stephanie Taylor, Julie Tillin, Therese Viikari, Jorma Wong, Andrew Hingorani, Aroon D Kivimäki, Mika Vineis, Paolo Int J Epidemiol Social Determinants of Health BACKGROUND: Low socio-economic position (SEP) is a risk factor for multiple health outcomes, but its molecular imprints in the body remain unclear. METHODS: We examined SEP as a determinant of serum nuclear magnetic resonance metabolic profiles in ∼30 000 adults and 4000 children across 10 UK and Finnish cohort studies. RESULTS: In risk-factor-adjusted analysis of 233 metabolic measures, low educational attainment was associated with 37 measures including higher levels of triglycerides in small high-density lipoproteins (HDL) and lower levels of docosahexaenoic acid (DHA), omega-3 fatty acids, apolipoprotein A1, large and very large HDL particles (including levels of their respective lipid constituents) and cholesterol measures across different density lipoproteins. Among adults whose father worked in manual occupations, associations with apolipoprotein A1, large and very large HDL particles and HDL-2 cholesterol remained after adjustment for SEP in later life. Among manual workers, levels of glutamine were higher compared with non-manual workers. All three indicators of low SEP were associated with lower DHA, omega-3 fatty acids and HDL diameter. At all ages, children of manual workers had lower levels of DHA as a proportion of total fatty acids. CONCLUSIONS: Our work indicates that social and economic factors have a measurable impact on human physiology. Lower SEP was independently associated with a generally unfavourable metabolic profile, consistent across ages and cohorts. The metabolites we found to be associated with SEP, including DHA, are known to predict cardiovascular disease and cognitive decline in later life and may contribute to health inequalities. Oxford University Press 2020-11-21 /pmc/articles/PMC8271201/ /pubmed/33221853 http://dx.doi.org/10.1093/ije/dyaa188 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the International Epidemiological Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Social Determinants of Health
Robinson, Oliver
Carter, Alice R
Ala-Korpela, Mika
Casas, Juan P
Chaturvedi, Nishi
Engmann, Jorgen
Howe, Laura D
Hughes, Alun D
Järvelin, Marjo-Riitta
Kähönen, Mika
Karhunen, Ville
Kuh, Diana
Shah, Tina
Ben-Shlomo, Yoav
Sofat, Reecha
Lau, Chung-Ho E
Lehtimäki, Terho
Menon, Usha
Raitakari, Olli
Ryan, Andy
Providencia, Rui
Smith, Stephanie
Taylor, Julie
Tillin, Therese
Viikari, Jorma
Wong, Andrew
Hingorani, Aroon D
Kivimäki, Mika
Vineis, Paolo
Metabolic profiles of socio-economic position: a multi-cohort analysis
title Metabolic profiles of socio-economic position: a multi-cohort analysis
title_full Metabolic profiles of socio-economic position: a multi-cohort analysis
title_fullStr Metabolic profiles of socio-economic position: a multi-cohort analysis
title_full_unstemmed Metabolic profiles of socio-economic position: a multi-cohort analysis
title_short Metabolic profiles of socio-economic position: a multi-cohort analysis
title_sort metabolic profiles of socio-economic position: a multi-cohort analysis
topic Social Determinants of Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271201/
https://www.ncbi.nlm.nih.gov/pubmed/33221853
http://dx.doi.org/10.1093/ije/dyaa188
work_keys_str_mv AT robinsonoliver metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT carteralicer metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT alakorpelamika metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT casasjuanp metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT chaturvedinishi metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT engmannjorgen metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT howelaurad metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT hughesalund metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT jarvelinmarjoriitta metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT kahonenmika metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT karhunenville metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT kuhdiana metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT shahtina metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT benshlomoyoav metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT sofatreecha metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT lauchunghoe metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT lehtimakiterho metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT menonusha metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT raitakariolli metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT ryanandy metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT providenciarui metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT smithstephanie metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT taylorjulie metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT tillintherese metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT viikarijorma metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT wongandrew metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT hingoraniaroond metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT kivimakimika metabolicprofilesofsocioeconomicpositionamulticohortanalysis
AT vineispaolo metabolicprofilesofsocioeconomicpositionamulticohortanalysis