Seasonal immune modulation in humans: Observed patterns and potential environmental drivers

Paynter, Stuart; Ware, Robert S.; Sly, Peter D.; Williams, Gail M.; Weinstein, Philip

doi:10.1016/j.jinf.2014.09.006

Cited by 48 publications

(37 citation statements)

References 58 publications

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“…1) that appear more abundant in the CSF of LD ewes than SD ewes. This suggests a seasonal fluctuation of immunity which concurs with reports in several mammalian species including humans [34][35][36]. Whether our results imply a decrease of immune system efficiency during winter (mimicked by SD treatment) remains to be proven as the influence of melatonin on the immune system is complex because of the number of cell types and molecules involved and is therefore not fully elucidated [37].…”

Section: Discussionsupporting

confidence: 88%

Photoperiod affects the cerebrospinal fluid proteome: a comparison between short day– and long day–treated ewes

Teixeira-Gomes¹,

Harichaux²,

Gennetay³

et al. 2015

Domestic Animal Endocrinology

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Section: Discussionsupporting

confidence: 88%

Photoperiod affects the cerebrospinal fluid proteome: a comparison between short day– and long day–treated ewes

Teixeira-Gomes¹,

Harichaux²,

Gennetay³

et al. 2015

Domestic Animal Endocrinology

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“…Such developmental differences may impact the ability to handle microbial exposure at mucosal surfaces in early life and subsequent development of immune-mediated diseases later in life. Of interest, a similar periodicity is observed for seasonal variation in immune cell frequency and gene expression in adult humans (92)(93)(94). In MS, M-SOB effect is thought to be a result of seasonal variation in UV exposure and vitamin D levels (31)(32)(33)(34); however, our results suggest that other mechanisms may be involved as nutritional status, UV radiation/photoperiod, VitD exposure, and climate are all controlled in mouse experiments.…”

Section: Discussionsupporting

confidence: 72%

Modeling month‐season of birth as a risk factor in mouse models of chronic disease: from multiple sclerosis to autoimmune encephalomyelitis

Reynolds¹,

Case²,

Krementsov³

et al. 2017

FASEB j.

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Month-season of birth (M-SOB) is a risk factor in multiple chronic diseases, including multiple sclerosis (MS), where the lowest and greatest risk of developing MS coincide with the lowest and highest birth rates, respectively. To determine whether M-SOB effects in such chronic diseases as MS can be experimentally modeled, we examined the effect of M-SOB on susceptibility of C57BL/6J mice to experimental autoimmune encephalomyelitis (EAE). As in MS, mice that were born during the M-SOB with the lowest birth rate were less susceptible to EAE than mice born during the M-SOB with the highest birth rate. We also show that the M-SOB effect on EAE susceptibility is associated with differential production of multiple cytokines/chemokines by neuroantigen-specific T cells that are known to play a role in EAE pathogenesis. Taken together, these results support the existence of an M-SOB effect that may reflect seasonally dependent developmental differences in adaptive immune responses to self-antigens independent of external stimuli, including exposure to sunlight and vitamin D. Moreover, our documentation of an M-SOB effect on EAE susceptibility in mice allows for modeling and detailed analysis of mechanisms that underlie the M-SOB effect in not only MS but in numerous other diseases in which M-SOB impacts susceptibility.-Reynolds, J. D., Case, L. K., Krementsov, D. N., Raza, A., Bartiss, R., Teuscher, C. Modeling month-season of birth as a risk factor in mouse models of chronic disease: from multiple sclerosis to autoimmune encephalomyelitis.

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“…One possible explanation is that people's immune systems, especially those of infants and young children, may be suppressed during the winter months. As infants and young children do not have a fully mature immune system, they are likely to be more affected due to seasonal variations in relation to temperature, sunshine, and nutrition . Further research to assess the role of seasonal immune modulation in infants and young children is required.…”

Section: Discussionmentioning

confidence: 99%

Meteorological factors affecting respiratory syncytial virus infection: A time‐series analysis

Zhang

Wen

Zheng

et al. 2020

Pediatric Pulmonology

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Introduction Respiratory syncytial virus (RSV) infection is a major cause of hospitalization in children. Meteorological factors are known to influence seasonal RSV epidemics, but the relationship between meteorological factors and RSV infection in children is not well understood. We aimed to explore the relationship between meteorological factors and RSV infections among hospitalized children, using different statistical models. Methods We conducted a retrospective review concerning children with RSV infections admitted to a tertiary pediatric hospital in Wenzhou, China, between January 2008 and December 2017. The relationship between meteorological factors (average daily temperatures, average daily relative humidity, rainfall, rainfall days, and wind speed) and the incidence of RSV in hospitalized children was analyzed using three time‐series models, namely an autoregressive integrated moving average (ARIMA) model, a generalized additive model (GAM), and a least absolute shrinkage and selection operator (LASSO)‐based model. Results In total, 15 858 (17.6%) children tested positive for RSV infection. The ARIMA model revealed a marked seasonal pattern in the RSV detection rate, which peaked in winter and spring. The model was a good predictor of RSV incidence (R2: 83.5%). The GAM revealed that a lower temperature and higher wind speed preceded increases in RSV detection. The LASSO‐based model revealed that temperature and relative humidity were negatively correlated with RSV detection. Conclusions Seasonality of RSV infection in hospitalized children correlated strongly with temperature. The LASSO‐based model can be used to predict annual RSV epidemics using weather forecast data.

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Seasonal immune modulation in humans: Observed patterns and potential environmental drivers

Cited by 48 publications

References 58 publications

Photoperiod affects the cerebrospinal fluid proteome: a comparison between short day– and long day–treated ewes

Photoperiod affects the cerebrospinal fluid proteome: a comparison between short day– and long day–treated ewes

Modeling month‐season of birth as a risk factor in mouse models of chronic disease: from multiple sclerosis to autoimmune encephalomyelitis

Meteorological factors affecting respiratory syncytial virus infection: A time‐series analysis

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