New approach to determine the healthy immune variations by combining clustering methods

Abstract Immune-mediated inflammatory diseases are characterized by variability in disease presentation and severity but studying it is a challenging task. Defining the limits of a healthy immune system is therefore a prior step to capture variability in disease conditions. The goal of this study is...

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Autores principales:	Claire Liefferinckx, Zacharie De Grève, Jean-François Toubeau, Hélène Perée, Eric Quertinmont, Vjola Tafciu, Charlotte Minsart, Souad Rahmouni, Michel Georges, François Vallée, Denis Franchimont
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/416e1cf4e116499785af069834e5dda9
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spelling	oai:doaj.org-article:416e1cf4e116499785af069834e5dda92021-12-02T16:56:02ZNew approach to determine the healthy immune variations by combining clustering methods10.1038/s41598-021-88272-x2045-2322https://doaj.org/article/416e1cf4e116499785af069834e5dda92021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-88272-xhttps://doaj.org/toc/2045-2322Abstract Immune-mediated inflammatory diseases are characterized by variability in disease presentation and severity but studying it is a challenging task. Defining the limits of a healthy immune system is therefore a prior step to capture variability in disease conditions. The goal of this study is to characterize the global immune cell composition along with their influencing factors. Blood samples were collected from 2 independent cohorts of respectively 389 (exploratory) and 208 (replication) healthy subjects. Twelve immune cells were measured in blood together with biological parameters. Three complementary clustering approaches were used to evaluate if variability related to the immune cells could be characterized as clusters or as a continuum. Large coefficients of variation confirmed the inter-individual variability of immune cells. Considering all subset variations in an overall analysis, it appeared that the immune makeup was organized as a continuum through the two cohorts. Some intrinsic and environmental factors affected the inter-individual variability of cells but without unveiling separable groups with similar features. This study provides a framework based on complementary clustering approach for analyzing inter-individual variability of immune cells. Our analyses support the absence of clusters in our two healthy cohorts. Also, our study reports some influence of age, gender, BMI, cortisol, season and CMV infection on immune variability.Claire LiefferinckxZacharie De GrèveJean-François ToubeauHélène PeréeEric QuertinmontVjola TafciuCharlotte MinsartSouad RahmouniMichel GeorgesFrançois ValléeDenis FranchimontNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Claire Liefferinckx Zacharie De Grève Jean-François Toubeau Hélène Perée Eric Quertinmont Vjola Tafciu Charlotte Minsart Souad Rahmouni Michel Georges François Vallée Denis Franchimont New approach to determine the healthy immune variations by combining clustering methods
description	Abstract Immune-mediated inflammatory diseases are characterized by variability in disease presentation and severity but studying it is a challenging task. Defining the limits of a healthy immune system is therefore a prior step to capture variability in disease conditions. The goal of this study is to characterize the global immune cell composition along with their influencing factors. Blood samples were collected from 2 independent cohorts of respectively 389 (exploratory) and 208 (replication) healthy subjects. Twelve immune cells were measured in blood together with biological parameters. Three complementary clustering approaches were used to evaluate if variability related to the immune cells could be characterized as clusters or as a continuum. Large coefficients of variation confirmed the inter-individual variability of immune cells. Considering all subset variations in an overall analysis, it appeared that the immune makeup was organized as a continuum through the two cohorts. Some intrinsic and environmental factors affected the inter-individual variability of cells but without unveiling separable groups with similar features. This study provides a framework based on complementary clustering approach for analyzing inter-individual variability of immune cells. Our analyses support the absence of clusters in our two healthy cohorts. Also, our study reports some influence of age, gender, BMI, cortisol, season and CMV infection on immune variability.
format	article
author	Claire Liefferinckx Zacharie De Grève Jean-François Toubeau Hélène Perée Eric Quertinmont Vjola Tafciu Charlotte Minsart Souad Rahmouni Michel Georges François Vallée Denis Franchimont
author_facet	Claire Liefferinckx Zacharie De Grève Jean-François Toubeau Hélène Perée Eric Quertinmont Vjola Tafciu Charlotte Minsart Souad Rahmouni Michel Georges François Vallée Denis Franchimont
author_sort	Claire Liefferinckx
title	New approach to determine the healthy immune variations by combining clustering methods
title_short	New approach to determine the healthy immune variations by combining clustering methods
title_full	New approach to determine the healthy immune variations by combining clustering methods
title_fullStr	New approach to determine the healthy immune variations by combining clustering methods
title_full_unstemmed	New approach to determine the healthy immune variations by combining clustering methods
title_sort	new approach to determine the healthy immune variations by combining clustering methods
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/416e1cf4e116499785af069834e5dda9
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New approach to determine the healthy immune variations by combining clustering methods

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