Patterning of educational attainment across inflammatory markers: Findings from a multi-cohort study.

Cohort studies Educational level Inflammation Social inequalities in health

Journal

Brain, behavior, and immunity
ISSN: 1090-2139
Titre abrégé: Brain Behav Immun
Pays: Netherlands
ID NLM: 8800478

Informations de publication

Date de publication:
11 2020
Historique:
received: 23 04 2020
revised: 21 08 2020
accepted: 04 09 2020
pubmed: 13 9 2020
medline: 28 4 2021
entrez: 12 9 2020
Statut: ppublish

Résumé

Evidence suggests that the inflammatory reaction, an adaptive response triggered by a variety of harmful stimuli and conditions involved in the risk and development of many chronic diseases, is a potential pathway through which the socioeconomic environment is biologically embedded. Difficulty in interpreting the role of the inflammatory system in the embodiment dynamic arises because of heterogeneity across studies that use a limited but varied number of inflammatory markers. There is no consensus in the literature as to which inflammatory markers beyond the C-reactive protein and to a lesser extent interleukin 6 are related to the social environment. Accordingly, we aimed to investigate the association between educational attainment, and several markers of inflammation - C-reactive protein, fibrinogen, interleukin 6, interleukin 1β and tumor necrosis factor α- in 6 European cohort studies. Up to 17,470 participants from six European cohort studies with data on educational attainment, health behaviors and lifestyle factors, and at least two different inflammatory markers. Four sub-datasets were drawn with varying numbers of participants to allow pairwise comparison of the social patterning of C-reactive protein and any other inflammatory markers. To evaluate within each sub-dataset the importance of the context and cohort specificities, linear regression-based analyses were performed separately for each cohort and combined in a random effect meta-analysis to determine the relationship between educational attainment and inflammation. We found that the magnitude of the relationship between educational attainment and five inflammatory biomarkers (C-reactive protein, fibrinogen, interleukin 6 and 1β and tumor necrosis factor α) was variable. By far the most socially patterned biomarker was C-reactive protein, followed by fibrinogen and to lesser extent interleukin 6, where a low educational attainment was associated with higher inflammation even after adjusting for health behaviours and body mass index. No association was found with interleukin 1β and tumor necrosis factor α. Our study suggests different educational patterning of inflammatory biomarkers. Further large-scale research is needed to explore social differences in the inflammatory cascade in greater detail and the extent to which these differences contribute to social inequalities in health.

Sections du résumé

BACKGROUND
Evidence suggests that the inflammatory reaction, an adaptive response triggered by a variety of harmful stimuli and conditions involved in the risk and development of many chronic diseases, is a potential pathway through which the socioeconomic environment is biologically embedded. Difficulty in interpreting the role of the inflammatory system in the embodiment dynamic arises because of heterogeneity across studies that use a limited but varied number of inflammatory markers. There is no consensus in the literature as to which inflammatory markers beyond the C-reactive protein and to a lesser extent interleukin 6 are related to the social environment. Accordingly, we aimed to investigate the association between educational attainment, and several markers of inflammation - C-reactive protein, fibrinogen, interleukin 6, interleukin 1β and tumor necrosis factor α- in 6 European cohort studies.
METHODS
Up to 17,470 participants from six European cohort studies with data on educational attainment, health behaviors and lifestyle factors, and at least two different inflammatory markers. Four sub-datasets were drawn with varying numbers of participants to allow pairwise comparison of the social patterning of C-reactive protein and any other inflammatory markers. To evaluate within each sub-dataset the importance of the context and cohort specificities, linear regression-based analyses were performed separately for each cohort and combined in a random effect meta-analysis to determine the relationship between educational attainment and inflammation.
RESULTS
We found that the magnitude of the relationship between educational attainment and five inflammatory biomarkers (C-reactive protein, fibrinogen, interleukin 6 and 1β and tumor necrosis factor α) was variable. By far the most socially patterned biomarker was C-reactive protein, followed by fibrinogen and to lesser extent interleukin 6, where a low educational attainment was associated with higher inflammation even after adjusting for health behaviours and body mass index. No association was found with interleukin 1β and tumor necrosis factor α.
CONCLUSIONS
Our study suggests different educational patterning of inflammatory biomarkers. Further large-scale research is needed to explore social differences in the inflammatory cascade in greater detail and the extent to which these differences contribute to social inequalities in health.

Identifiants

pubmed: 32919037
pii: S0889-1591(20)30406-2
doi: 10.1016/j.bbi.2020.09.002
pmc: PMC8140486
pii:
doi:

Substances chimiques

Biomarkers 0
C-Reactive Protein 9007-41-4

Types de publication

Journal Article Meta-Analysis Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

303-310

Subventions

Organisme : Medical Research Council
ID : MR/R024227/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : S011676
Pays : United Kingdom
Organisme : NIA NIH HHS
ID : R01 AG056477
Pays : United States
Organisme : Medical Research Council
ID : MR/S011676/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/S019669/1
Pays : United Kingdom

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Marine Maurel (M)

UMR1027, Université de Toulouse, UPS, Inserm, Toulouse, France.

Raphaële Castagné (R)

UMR1027, Université de Toulouse, UPS, Inserm, Toulouse, France.

Eloïse Berger (E)

UMR1027, Université de Toulouse, UPS, Inserm, Toulouse, France.

Murielle Bochud (M)

Psychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne 1004, Switzerland.

Marc Chadeau-Hyam (M)

MRC-PHE Centre for Environment and Health, School of Public Health, Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK.

Silvia Fraga (S)

EPIUnit-Instituto de Saúde Pública da Universidade do Porto, Porto, Portugal.

Martina Gandini (M)

Epidemiology Unit, ASL TO3 Piedmont Region, Grugliasco 10095, Italy; Environmental Epidemiological Unit, Regional Environmental Protection Agency, Piedmont Region, Via Pio VII 9, 10135 Turin, Italy.

Nina Hutri-Kähönen (N)

Department of Pediatrics, Tampere University Hospital and Faculty of Medicine and Life Sciences, Tampere University, Tampere, Finland.

Sirpa Jalkanen (S)

MediCity Research Laboratory, University of Turku, Turku, Finland; Institute of Biomedicine, University of Turku, Turku, Finland.

Mika Kivimäki (M)

Department of Epidemiology and Public Health, University College London, London WC1E 6BT, UK; Clinicum, Faculty of Medicine, University of Helsinki, P. O. Box 20, Helsinki FI-00014, Finland.

Michael Marmot (M)

UCL Institute of Health Equity, Department of Epidemiology and Public Health, UCL, 1-19 Torrington Place, WC1E 6BT, London.

Cathal McCrory (C)

Department of Medical Gerontology, Trinity College Dublin, Ireland.

Martin Preisig (M)

Psychiatric Epidemiology and Psychopathology Research Center, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne 1004, Switzerland.

Olli Raitakari (O)

Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland.

Fulvio Ricceri (F)

Epidemiology Unit, ASL TO3 Piedmont Region, Grugliasco 10095, Italy; Department of Clinical and Biological Sciences, University of Turin, Italy.

Marko Salmi (M)

MediCity Research Laboratory, University of Turku, Turku, Finland; Institute of Biomedicine, University of Turku, Turku, Finland.

Andrew Steptoe (A)

Department of Epidemiology and Public Health, University College London, London WC1E 6BT, UK.

Paolo Vineis (P)

MRC-PHE Centre for Environment and Health, School of Public Health, Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK; Italian Institute for Genomic Medicine, Torino, Italy.

Cyrille Delpierre (C)

UMR1027, Université de Toulouse, UPS, Inserm, Toulouse, France.

Michelle Kelly-Irving (M)

UMR1027, Université de Toulouse, UPS, Inserm, Toulouse, France. Electronic address: michelle.kelly@inserm.fr.

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