tetano
Editor, Senior Moderator
J Immunol
. 2021 Jul 14;ji2000133.
doi: 10.4049/jimmunol.2000133. Online ahead of print.
Seasonal and Nonseasonal Longitudinal Variation of Immune Function
Rob Ter Horst[SUP] 1 2 [/SUP], Martin Jaeger[SUP] 1 2 3 [/SUP], Lisa van de Wijer[SUP] 1 [/SUP], Wouter A van der Heijden[SUP] 1 [/SUP], Anna M W Janssen[SUP] 1 [/SUP], Sanne P Smeekens[SUP] 1 [/SUP], Michelle A E Brouwer[SUP] 1 2 [/SUP], Bram van Cranenbroek[SUP] 4 [/SUP], Raul Aguirre-Gamboa[SUP] 5 [/SUP], Romana T Netea-Maier[SUP] 1 3 [/SUP], Antonius E van Herwaarden[SUP] 3 [/SUP], Heidi Lemmers[SUP] 1 2 [/SUP], Helga Dijkstra[SUP] 1 2 [/SUP], Irma Joosten[SUP] 3 [/SUP], Hans Koenen[SUP] 3 [/SUP], Mihai G Netea[SUP] 6 2 7 [/SUP], Leo A B Joosten[SUP] 6 [/SUP]
Affiliations
Abstract
Different components of the immune response show large variability between individuals, but they also vary within the same individual because of host and environmental factors. In this study, we report an extensive analysis of the immune characteristics of 56 individuals over four timepoints in 1 single year as part of the Human Functional Genomics Project. We characterized 102 cell subsets using flow cytometry; quantified production of eight cytokines and two chemokines in response to 20 metabolic, bacterial, fungal, and viral stimuli; and measured circulating markers of inflammation. Taking advantage of the longitudinal sampling, both seasonal and nonseasonal sources of variability were studied. The circulating markers of inflammation IL-18, IL-18 binding protein, and resistin displayed clear seasonal variability, whereas the strongest effect was observed for α-1 antitrypsin. Cytokine production capacity also showed strong seasonal changes, especially after stimulation with the influenza virus, Borrelia burgdorferi, and Escherichia coli Furthermore, we observed moderate seasonality effects on immune cell counts, especially in several CD4[SUP]+[/SUP]/CD8[SUP]+[/SUP] T cell subpopulations. Age of the volunteers was an important factor influencing IFN-γ and IL-22 production, which matched the strong impact of age on several T cell subsets. Finally, on average, genetics accounted for almost 50% of the interindividual variance not already explained by age, sex, and body mass index, although this varies strongly for different parameters. In conclusion, seasonality is an important environmental factor that influences immune responses, in addition to specific genetic and nongenetic host factors, and this may well explain the seasonal variation in the incidence and severity of immune-mediated diseases.
. 2021 Jul 14;ji2000133.
doi: 10.4049/jimmunol.2000133. Online ahead of print.
Seasonal and Nonseasonal Longitudinal Variation of Immune Function
Rob Ter Horst[SUP] 1 2 [/SUP], Martin Jaeger[SUP] 1 2 3 [/SUP], Lisa van de Wijer[SUP] 1 [/SUP], Wouter A van der Heijden[SUP] 1 [/SUP], Anna M W Janssen[SUP] 1 [/SUP], Sanne P Smeekens[SUP] 1 [/SUP], Michelle A E Brouwer[SUP] 1 2 [/SUP], Bram van Cranenbroek[SUP] 4 [/SUP], Raul Aguirre-Gamboa[SUP] 5 [/SUP], Romana T Netea-Maier[SUP] 1 3 [/SUP], Antonius E van Herwaarden[SUP] 3 [/SUP], Heidi Lemmers[SUP] 1 2 [/SUP], Helga Dijkstra[SUP] 1 2 [/SUP], Irma Joosten[SUP] 3 [/SUP], Hans Koenen[SUP] 3 [/SUP], Mihai G Netea[SUP] 6 2 7 [/SUP], Leo A B Joosten[SUP] 6 [/SUP]
Affiliations
- PMID: 34261668
- DOI: 10.4049/jimmunol.2000133
Abstract
Different components of the immune response show large variability between individuals, but they also vary within the same individual because of host and environmental factors. In this study, we report an extensive analysis of the immune characteristics of 56 individuals over four timepoints in 1 single year as part of the Human Functional Genomics Project. We characterized 102 cell subsets using flow cytometry; quantified production of eight cytokines and two chemokines in response to 20 metabolic, bacterial, fungal, and viral stimuli; and measured circulating markers of inflammation. Taking advantage of the longitudinal sampling, both seasonal and nonseasonal sources of variability were studied. The circulating markers of inflammation IL-18, IL-18 binding protein, and resistin displayed clear seasonal variability, whereas the strongest effect was observed for α-1 antitrypsin. Cytokine production capacity also showed strong seasonal changes, especially after stimulation with the influenza virus, Borrelia burgdorferi, and Escherichia coli Furthermore, we observed moderate seasonality effects on immune cell counts, especially in several CD4[SUP]+[/SUP]/CD8[SUP]+[/SUP] T cell subpopulations. Age of the volunteers was an important factor influencing IFN-γ and IL-22 production, which matched the strong impact of age on several T cell subsets. Finally, on average, genetics accounted for almost 50% of the interindividual variance not already explained by age, sex, and body mass index, although this varies strongly for different parameters. In conclusion, seasonality is an important environmental factor that influences immune responses, in addition to specific genetic and nongenetic host factors, and this may well explain the seasonal variation in the incidence and severity of immune-mediated diseases.