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Immunological Trajectories of White Blood Cells from Adolescence to Adulthood: Description and Determinants

Background: The immune system gradually matures early in life in the face of internal and external stimuli. Whether the immune responses are lasting and stable during the course of life is still unclear. Methods: As part of the EPITeen cohort, 1183 adolescents were prospectively evaluated at the age...

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Autores principales: Barroso, Isaac, Guimarães, João Tiago, Severo, Milton, Craveiro, Vanda, Ramos, Elisabete
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625023/
https://www.ncbi.nlm.nih.gov/pubmed/34829410
http://dx.doi.org/10.3390/diagnostics11112063
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author Barroso, Isaac
Guimarães, João Tiago
Severo, Milton
Craveiro, Vanda
Ramos, Elisabete
author_facet Barroso, Isaac
Guimarães, João Tiago
Severo, Milton
Craveiro, Vanda
Ramos, Elisabete
author_sort Barroso, Isaac
collection PubMed
description Background: The immune system gradually matures early in life in the face of internal and external stimuli. Whether the immune responses are lasting and stable during the course of life is still unclear. Methods: As part of the EPITeen cohort, 1183 adolescents were prospectively evaluated at the ages of 13, 17, 21, 24 and 27. Sociodemographic, behavioral and clinical data were collected by self- and face-to-face-administered questionnaires, along with a physical examination comprising anthropometric measurements and blood sample collections. Mixed-effects models were used to identify individual trajectories of white blood cells (WBC) and finite Gaussian mixture models were used to identify the clusters of individual trajectories. Results: Participants were allocated into six clusters based on the individual trajectories of WBC distribution. Higher Inflammatory Activation Cluster (11.4%) had the highest total WBC count and neutrophils percentage, as well as the lowest percentage of lymphocytes. These participants had significantly higher odds of being overweight [OR = 2.44, 95%CI:1.51–3.92]. Lowest Levels of WBC Cluster (24.1%) had the lowest total WBC count, being characterized by a higher participation on sports [OR = 1.54, 95%CI:1.12–2.13]. Highest Proportion of Eosinophils Cluster (20.1%) had the highest eosinophils percentage and the highest likelihood of having been diagnosed with a chronic disease [OR = 2.11, 95%CI:1.43–3.13], namely “asthma or allergies” [OR = 14.0 (1.73, 112.2]. Lowest Proportion of Eosinophils Cluster (29.1%) had the lowest percentage of eosinophils and basophils, as well as the highest lymphocyte proportion. Participants in the Undefined Cluster (13.8%) showed the highest percentage of monocytes and basophils and were also characterized by significant lower odds of having parents with 7–9 years of schooling [OR = 0.56, (0.32, 0.99]. Conclusions: In this study we identified distinct immunological trajectories of WBC from adolescence to adulthood that were associated with social, clinical and behavioral determinants. These results suggest that these immunological trajectories are defined early in life, being dependent on the exposures.
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spelling pubmed-86250232021-11-27 Immunological Trajectories of White Blood Cells from Adolescence to Adulthood: Description and Determinants Barroso, Isaac Guimarães, João Tiago Severo, Milton Craveiro, Vanda Ramos, Elisabete Diagnostics (Basel) Article Background: The immune system gradually matures early in life in the face of internal and external stimuli. Whether the immune responses are lasting and stable during the course of life is still unclear. Methods: As part of the EPITeen cohort, 1183 adolescents were prospectively evaluated at the ages of 13, 17, 21, 24 and 27. Sociodemographic, behavioral and clinical data were collected by self- and face-to-face-administered questionnaires, along with a physical examination comprising anthropometric measurements and blood sample collections. Mixed-effects models were used to identify individual trajectories of white blood cells (WBC) and finite Gaussian mixture models were used to identify the clusters of individual trajectories. Results: Participants were allocated into six clusters based on the individual trajectories of WBC distribution. Higher Inflammatory Activation Cluster (11.4%) had the highest total WBC count and neutrophils percentage, as well as the lowest percentage of lymphocytes. These participants had significantly higher odds of being overweight [OR = 2.44, 95%CI:1.51–3.92]. Lowest Levels of WBC Cluster (24.1%) had the lowest total WBC count, being characterized by a higher participation on sports [OR = 1.54, 95%CI:1.12–2.13]. Highest Proportion of Eosinophils Cluster (20.1%) had the highest eosinophils percentage and the highest likelihood of having been diagnosed with a chronic disease [OR = 2.11, 95%CI:1.43–3.13], namely “asthma or allergies” [OR = 14.0 (1.73, 112.2]. Lowest Proportion of Eosinophils Cluster (29.1%) had the lowest percentage of eosinophils and basophils, as well as the highest lymphocyte proportion. Participants in the Undefined Cluster (13.8%) showed the highest percentage of monocytes and basophils and were also characterized by significant lower odds of having parents with 7–9 years of schooling [OR = 0.56, (0.32, 0.99]. Conclusions: In this study we identified distinct immunological trajectories of WBC from adolescence to adulthood that were associated with social, clinical and behavioral determinants. These results suggest that these immunological trajectories are defined early in life, being dependent on the exposures. MDPI 2021-11-08 /pmc/articles/PMC8625023/ /pubmed/34829410 http://dx.doi.org/10.3390/diagnostics11112063 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Barroso, Isaac
Guimarães, João Tiago
Severo, Milton
Craveiro, Vanda
Ramos, Elisabete
Immunological Trajectories of White Blood Cells from Adolescence to Adulthood: Description and Determinants
title Immunological Trajectories of White Blood Cells from Adolescence to Adulthood: Description and Determinants
title_full Immunological Trajectories of White Blood Cells from Adolescence to Adulthood: Description and Determinants
title_fullStr Immunological Trajectories of White Blood Cells from Adolescence to Adulthood: Description and Determinants
title_full_unstemmed Immunological Trajectories of White Blood Cells from Adolescence to Adulthood: Description and Determinants
title_short Immunological Trajectories of White Blood Cells from Adolescence to Adulthood: Description and Determinants
title_sort immunological trajectories of white blood cells from adolescence to adulthood: description and determinants
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625023/
https://www.ncbi.nlm.nih.gov/pubmed/34829410
http://dx.doi.org/10.3390/diagnostics11112063
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