Cargando…

Emotional states predict cellular immune system activity under conditions of life as it is lived: A multivariate time-series analysis approach

The relationship between emotional states and immune system activity is characterized by bidirectional influences; however, limited information is available regarding the temporal dynamics of these effects. The goal of this investigation was to examine how these psychoimmunological interdependencies...

Descripción completa

Detalles Bibliográficos
Autores principales: Seizer, Lennart, Fuchs, Dietmar, Bliem, Harald R., Schubert, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635540/
https://www.ncbi.nlm.nih.gov/pubmed/37943877
http://dx.doi.org/10.1371/journal.pone.0290032
_version_ 1785133018793377792
author Seizer, Lennart
Fuchs, Dietmar
Bliem, Harald R.
Schubert, Christian
author_facet Seizer, Lennart
Fuchs, Dietmar
Bliem, Harald R.
Schubert, Christian
author_sort Seizer, Lennart
collection PubMed
description The relationship between emotional states and immune system activity is characterized by bidirectional influences; however, limited information is available regarding the temporal dynamics of these effects. The goal of this investigation was to examine how these psychoimmunological interdependencies unfold over time under conditions of “life as it is lived”. For this purpose, three healthy women collected their entire urine over a period of approximately two months at 12-h intervals (8 am–8 pm, 8 pm–8 am), resulting in a total of 112 to 126 consecutive measurements per subject. In addition, among other regular psychological assessments, the subjects completed the EWL-60-S, an emotional state questionnaire, each morning and evening. To assess the extent of T-helper type 1 immune activation, the neopterin per creatinine concentration was measured in the urine samples using high-pressure liquid chromatography. The dynamic relationships between the time series of the six emotional states (performance-related activity, general inactivity, extraversion/introversion, general feeling of comfort, emotional irritation, anxiety/depressiveness) and urinary neopterin levels were estimated in vector-autoregressive models and evaluated using Granger-causality tests, impulse-response functions and forecast error variance decompositions. The findings showed that emotional states explained up to 20% of the variance of urinary neopterin per creatinine levels, whereby most of the effects occurred within a period of approximately three days. Across all subjects, increases in anxiety/depressiveness and extraversion led to increases in neopterin levels, while a general feeling of comfort led to decreases in neopterin. These results emphasize the importance of the interdependencies between emotional states and immune system activity and showcase the potential that intensive longitudinal study designs offer for psychoneuroimmunology.
format Online
Article
Text
id pubmed-10635540
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-106355402023-11-10 Emotional states predict cellular immune system activity under conditions of life as it is lived: A multivariate time-series analysis approach Seizer, Lennart Fuchs, Dietmar Bliem, Harald R. Schubert, Christian PLoS One Research Article The relationship between emotional states and immune system activity is characterized by bidirectional influences; however, limited information is available regarding the temporal dynamics of these effects. The goal of this investigation was to examine how these psychoimmunological interdependencies unfold over time under conditions of “life as it is lived”. For this purpose, three healthy women collected their entire urine over a period of approximately two months at 12-h intervals (8 am–8 pm, 8 pm–8 am), resulting in a total of 112 to 126 consecutive measurements per subject. In addition, among other regular psychological assessments, the subjects completed the EWL-60-S, an emotional state questionnaire, each morning and evening. To assess the extent of T-helper type 1 immune activation, the neopterin per creatinine concentration was measured in the urine samples using high-pressure liquid chromatography. The dynamic relationships between the time series of the six emotional states (performance-related activity, general inactivity, extraversion/introversion, general feeling of comfort, emotional irritation, anxiety/depressiveness) and urinary neopterin levels were estimated in vector-autoregressive models and evaluated using Granger-causality tests, impulse-response functions and forecast error variance decompositions. The findings showed that emotional states explained up to 20% of the variance of urinary neopterin per creatinine levels, whereby most of the effects occurred within a period of approximately three days. Across all subjects, increases in anxiety/depressiveness and extraversion led to increases in neopterin levels, while a general feeling of comfort led to decreases in neopterin. These results emphasize the importance of the interdependencies between emotional states and immune system activity and showcase the potential that intensive longitudinal study designs offer for psychoneuroimmunology. Public Library of Science 2023-11-09 /pmc/articles/PMC10635540/ /pubmed/37943877 http://dx.doi.org/10.1371/journal.pone.0290032 Text en © 2023 Seizer et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Seizer, Lennart
Fuchs, Dietmar
Bliem, Harald R.
Schubert, Christian
Emotional states predict cellular immune system activity under conditions of life as it is lived: A multivariate time-series analysis approach
title Emotional states predict cellular immune system activity under conditions of life as it is lived: A multivariate time-series analysis approach
title_full Emotional states predict cellular immune system activity under conditions of life as it is lived: A multivariate time-series analysis approach
title_fullStr Emotional states predict cellular immune system activity under conditions of life as it is lived: A multivariate time-series analysis approach
title_full_unstemmed Emotional states predict cellular immune system activity under conditions of life as it is lived: A multivariate time-series analysis approach
title_short Emotional states predict cellular immune system activity under conditions of life as it is lived: A multivariate time-series analysis approach
title_sort emotional states predict cellular immune system activity under conditions of life as it is lived: a multivariate time-series analysis approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635540/
https://www.ncbi.nlm.nih.gov/pubmed/37943877
http://dx.doi.org/10.1371/journal.pone.0290032
work_keys_str_mv AT seizerlennart emotionalstatespredictcellularimmunesystemactivityunderconditionsoflifeasitislivedamultivariatetimeseriesanalysisapproach
AT fuchsdietmar emotionalstatespredictcellularimmunesystemactivityunderconditionsoflifeasitislivedamultivariatetimeseriesanalysisapproach
AT bliemharaldr emotionalstatespredictcellularimmunesystemactivityunderconditionsoflifeasitislivedamultivariatetimeseriesanalysisapproach
AT schubertchristian emotionalstatespredictcellularimmunesystemactivityunderconditionsoflifeasitislivedamultivariatetimeseriesanalysisapproach