Cargando…
Age Distribution of Multiple Functionally Relevant Subsets of CD4+ T Cells in Human Blood Using a Standardized and Validated 14-Color EuroFlow Immune Monitoring Tube
CD4+ T cells comprise multiple functionally distinct cell populations that play a key role in immunity. Despite blood monitoring of CD4+ T-cell subsets is of potential clinical utility, no standardized and validated approaches have been proposed so far. The aim of this study was to design and valida...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7056740/ https://www.ncbi.nlm.nih.gov/pubmed/32174910 http://dx.doi.org/10.3389/fimmu.2020.00166 |
_version_ | 1783503529922527232 |
---|---|
author | Botafogo, Vitor Pérez-Andres, Martín Jara-Acevedo, María Bárcena, Paloma Grigore, Georgiana Hernández-Delgado, Alejandro Damasceno, Daniela Comans, Suzanne Blanco, Elena Romero, Alfonso Arriba-Méndez, Sonia Gastaca-Abasolo, Irene Pedreira, Carlos Eduardo van Gaans-van den Brink, Jacqueline A. M. Corbiere, Véronique Mascart, Françoise van Els, Cécile A. C. M. Barkoff, Alex-Mikael Mayado, Andrea van Dongen, Jacques J. M. Almeida, Julia Orfao, Alberto |
author_facet | Botafogo, Vitor Pérez-Andres, Martín Jara-Acevedo, María Bárcena, Paloma Grigore, Georgiana Hernández-Delgado, Alejandro Damasceno, Daniela Comans, Suzanne Blanco, Elena Romero, Alfonso Arriba-Méndez, Sonia Gastaca-Abasolo, Irene Pedreira, Carlos Eduardo van Gaans-van den Brink, Jacqueline A. M. Corbiere, Véronique Mascart, Françoise van Els, Cécile A. C. M. Barkoff, Alex-Mikael Mayado, Andrea van Dongen, Jacques J. M. Almeida, Julia Orfao, Alberto |
author_sort | Botafogo, Vitor |
collection | PubMed |
description | CD4+ T cells comprise multiple functionally distinct cell populations that play a key role in immunity. Despite blood monitoring of CD4+ T-cell subsets is of potential clinical utility, no standardized and validated approaches have been proposed so far. The aim of this study was to design and validate a single 14-color antibody combination for sensitive and reproducible flow cytometry monitoring of CD4+ T-cell populations in human blood to establish normal age-related reference values and evaluate the presence of potentially altered profiles in three distinct disease models—monoclonal B-cell lymphocytosis (MBL), systemic mastocytosis (SM), and common variable immunodeficiency (CVID). Overall, 145 blood samples from healthy donors were used to design and validate a 14-color antibody combination based on extensive reagent testing in multiple cycles of design–testing–evaluation–redesign, combined with in vitro functional studies, gene expression profiling, and multicentric evaluation of manual vs. automated gating. Fifteen cord blood and 98 blood samples from healthy donors (aged 0–89 years) were used to establish reference values, and another 25 blood samples were evaluated for detecting potentially altered CD4 T-cell subset profiles in MBL (n = 8), SM (n = 7), and CVID (n = 10). The 14-color tube can identify ≥89 different CD4+ T-cell populations in blood, as validated with high multicenter reproducibility, particularly when software-guided automated (vs. manual expert-based) gating was used. Furthermore, age-related reference values were established, which reflect different kinetics for distinct subsets: progressive increase of naïve T cells, T-helper (Th)1, Th17, follicular helper T (TFH) cells, and regulatory T cells (Tregs) from birth until 2 years, followed by a decrease of naïve T cells, Th2, and Tregs in older children and a subsequent increase in multiple Th-cell subsets toward late adulthood. Altered and unique CD4+ T-cell subset profiles were detected in two of the three disease models evaluated (SM and CVID). In summary, the EuroFlow immune monitoring TCD4 tube allows fast, automated, and reproducible identification of ≥89 subsets of CD4+ blood T cells, with different kinetics throughout life. These results set the basis for in-depth T-cell monitoring in different disease and therapeutic conditions. |
format | Online Article Text |
id | pubmed-7056740 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70567402020-03-13 Age Distribution of Multiple Functionally Relevant Subsets of CD4+ T Cells in Human Blood Using a Standardized and Validated 14-Color EuroFlow Immune Monitoring Tube Botafogo, Vitor Pérez-Andres, Martín Jara-Acevedo, María Bárcena, Paloma Grigore, Georgiana Hernández-Delgado, Alejandro Damasceno, Daniela Comans, Suzanne Blanco, Elena Romero, Alfonso Arriba-Méndez, Sonia Gastaca-Abasolo, Irene Pedreira, Carlos Eduardo van Gaans-van den Brink, Jacqueline A. M. Corbiere, Véronique Mascart, Françoise van Els, Cécile A. C. M. Barkoff, Alex-Mikael Mayado, Andrea van Dongen, Jacques J. M. Almeida, Julia Orfao, Alberto Front Immunol Immunology CD4+ T cells comprise multiple functionally distinct cell populations that play a key role in immunity. Despite blood monitoring of CD4+ T-cell subsets is of potential clinical utility, no standardized and validated approaches have been proposed so far. The aim of this study was to design and validate a single 14-color antibody combination for sensitive and reproducible flow cytometry monitoring of CD4+ T-cell populations in human blood to establish normal age-related reference values and evaluate the presence of potentially altered profiles in three distinct disease models—monoclonal B-cell lymphocytosis (MBL), systemic mastocytosis (SM), and common variable immunodeficiency (CVID). Overall, 145 blood samples from healthy donors were used to design and validate a 14-color antibody combination based on extensive reagent testing in multiple cycles of design–testing–evaluation–redesign, combined with in vitro functional studies, gene expression profiling, and multicentric evaluation of manual vs. automated gating. Fifteen cord blood and 98 blood samples from healthy donors (aged 0–89 years) were used to establish reference values, and another 25 blood samples were evaluated for detecting potentially altered CD4 T-cell subset profiles in MBL (n = 8), SM (n = 7), and CVID (n = 10). The 14-color tube can identify ≥89 different CD4+ T-cell populations in blood, as validated with high multicenter reproducibility, particularly when software-guided automated (vs. manual expert-based) gating was used. Furthermore, age-related reference values were established, which reflect different kinetics for distinct subsets: progressive increase of naïve T cells, T-helper (Th)1, Th17, follicular helper T (TFH) cells, and regulatory T cells (Tregs) from birth until 2 years, followed by a decrease of naïve T cells, Th2, and Tregs in older children and a subsequent increase in multiple Th-cell subsets toward late adulthood. Altered and unique CD4+ T-cell subset profiles were detected in two of the three disease models evaluated (SM and CVID). In summary, the EuroFlow immune monitoring TCD4 tube allows fast, automated, and reproducible identification of ≥89 subsets of CD4+ blood T cells, with different kinetics throughout life. These results set the basis for in-depth T-cell monitoring in different disease and therapeutic conditions. Frontiers Media S.A. 2020-02-27 /pmc/articles/PMC7056740/ /pubmed/32174910 http://dx.doi.org/10.3389/fimmu.2020.00166 Text en Copyright © 2020 Botafogo, Pérez-Andres, Jara-Acevedo, Bárcena, Grigore, Hernández-Delgado, Damasceno, Comans, Blanco, Romero, Arriba-Méndez, Gastaca-Abasolo, Pedreira, van Gaans-van den Brink, Corbiere, Mascart, van Els, Barkoff, Mayado, van Dongen, Almeida and Orfao. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Botafogo, Vitor Pérez-Andres, Martín Jara-Acevedo, María Bárcena, Paloma Grigore, Georgiana Hernández-Delgado, Alejandro Damasceno, Daniela Comans, Suzanne Blanco, Elena Romero, Alfonso Arriba-Méndez, Sonia Gastaca-Abasolo, Irene Pedreira, Carlos Eduardo van Gaans-van den Brink, Jacqueline A. M. Corbiere, Véronique Mascart, Françoise van Els, Cécile A. C. M. Barkoff, Alex-Mikael Mayado, Andrea van Dongen, Jacques J. M. Almeida, Julia Orfao, Alberto Age Distribution of Multiple Functionally Relevant Subsets of CD4+ T Cells in Human Blood Using a Standardized and Validated 14-Color EuroFlow Immune Monitoring Tube |
title | Age Distribution of Multiple Functionally Relevant Subsets of CD4+ T Cells in Human Blood Using a Standardized and Validated 14-Color EuroFlow Immune Monitoring Tube |
title_full | Age Distribution of Multiple Functionally Relevant Subsets of CD4+ T Cells in Human Blood Using a Standardized and Validated 14-Color EuroFlow Immune Monitoring Tube |
title_fullStr | Age Distribution of Multiple Functionally Relevant Subsets of CD4+ T Cells in Human Blood Using a Standardized and Validated 14-Color EuroFlow Immune Monitoring Tube |
title_full_unstemmed | Age Distribution of Multiple Functionally Relevant Subsets of CD4+ T Cells in Human Blood Using a Standardized and Validated 14-Color EuroFlow Immune Monitoring Tube |
title_short | Age Distribution of Multiple Functionally Relevant Subsets of CD4+ T Cells in Human Blood Using a Standardized and Validated 14-Color EuroFlow Immune Monitoring Tube |
title_sort | age distribution of multiple functionally relevant subsets of cd4+ t cells in human blood using a standardized and validated 14-color euroflow immune monitoring tube |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7056740/ https://www.ncbi.nlm.nih.gov/pubmed/32174910 http://dx.doi.org/10.3389/fimmu.2020.00166 |
work_keys_str_mv | AT botafogovitor agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT perezandresmartin agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT jaraacevedomaria agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT barcenapaloma agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT grigoregeorgiana agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT hernandezdelgadoalejandro agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT damascenodaniela agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT comanssuzanne agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT blancoelena agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT romeroalfonso agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT arribamendezsonia agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT gastacaabasoloirene agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT pedreiracarloseduardo agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT vangaansvandenbrinkjacquelineam agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT corbiereveronique agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT mascartfrancoise agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT vanelscecileacm agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT barkoffalexmikael agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT mayadoandrea agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT vandongenjacquesjm agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT almeidajulia agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube AT orfaoalberto agedistributionofmultiplefunctionallyrelevantsubsetsofcd4tcellsinhumanbloodusingastandardizedandvalidated14coloreuroflowimmunemonitoringtube |