Impact of socioeconomic status on healthy immune responses in humans

Author:

Bertrand Anthony12,Sugrue Jamie1,Lou Tianai3,Bourke Nollaig M4,Quintana‐Murci Lluis56,Saint‐André Violaine17,O'Farrelly Cliona38,Duffy Darragh1,

Affiliation:

1. Translational Immunology Unit Institut Pasteur, Université Paris Cité Paris France

2. Frontiers of Innovation in Research and Education PhD Program, LPI Doctoral School Université Paris Cité Paris France

3. School of Medicine Trinity Biomedical Sciences Institute, Trinity College Dublin Dublin Ireland

4. Discipline of Medical Gerontology, School of Medicine Trinity Translational Medicine Institute, Trinity College Dublin Dublin Ireland

5. Human Evolutionary Genetics Unit Institut Pasteur, Université Paris Cité, CNRS UMR2000 Paris France

6. Chair of Human Genomics and Evolution Collège de France Paris France

7. Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub Paris France

8. School of Biochemistry & Immunology Trinity Biomedical Sciences Institute, Trinity College Dublin Dublin Ireland

Abstract

AbstractIndividuals with low socioeconomic status (SES) are at greater risk of contracting and developing severe disease compared with people with higher SES. Age, sex, host genetics, smoking and cytomegalovirus (CMV) serostatus are known to have a major impact on human immune responses and thus susceptibility to infection. However, the impact of SES on immune variability is not well understood or explored. Here, we used data from the Milieu Intérieur project, a study of 1000 healthy volunteers with extensive demographic and biological data, to examine the effect of SES on immune variability. We developed an Elo‐rating system using socioeconomic features such as education, income and home ownership status to objectively rank SES in the 1000 donors. We observed sex‐specific SES associations, such as females with a low SES having a significantly higher frequency of CMV seropositivity compared with females with high SES, and males with a low SES having a significantly higher frequency of active smoking compared with males with a high SES. Using random forest models, we identified specific immune genes which were significantly associated with SES in both baseline and immune challenge conditions. Interestingly, many of the SES associations were sex stimuli specific, highlighting the complexity of these interactions. Our study provides a new way of computing SES in human populations that can help identify novel SES associations and reinforces biological evidence for SES‐dependent susceptibility to infection. This should serve as a basis for further understanding the molecular mechanisms behind SES effects on immune responses and ultimately disease.

Funder

Agence Nationale de la Recherche

Publisher

Wiley

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