Cargando…

Standardization of whole blood immune phenotype monitoring for clinical trials: panels and methods from the ONE study

BACKGROUND: Immune monitoring by flow cytometry is a fast and highly informative way of studying the effects of novel therapeutics aimed at reducing transplant rejection or treating autoimmune diseases. The ONE Study consortium has recently initiated a series of clinical trials aimed at using differ...

Descripción completa

Detalles Bibliográficos
Autores principales: Streitz, Mathias, Miloud, Tewfik, Kapinsky, Michael, Reed, Michael R, Magari, Robert, Geissler, Edward K, Hutchinson, James A, Vogt, Katrin, Schlickeiser, Stephan, Kverneland, Anders Handrup, Meisel, Christian, Volk, Hans-Dieter, Sawitzki, Birgit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3827923/
https://www.ncbi.nlm.nih.gov/pubmed/24160259
http://dx.doi.org/10.1186/2047-1440-2-17
_version_ 1782291164865495040
author Streitz, Mathias
Miloud, Tewfik
Kapinsky, Michael
Reed, Michael R
Magari, Robert
Geissler, Edward K
Hutchinson, James A
Vogt, Katrin
Schlickeiser, Stephan
Kverneland, Anders Handrup
Meisel, Christian
Volk, Hans-Dieter
Sawitzki, Birgit
author_facet Streitz, Mathias
Miloud, Tewfik
Kapinsky, Michael
Reed, Michael R
Magari, Robert
Geissler, Edward K
Hutchinson, James A
Vogt, Katrin
Schlickeiser, Stephan
Kverneland, Anders Handrup
Meisel, Christian
Volk, Hans-Dieter
Sawitzki, Birgit
author_sort Streitz, Mathias
collection PubMed
description BACKGROUND: Immune monitoring by flow cytometry is a fast and highly informative way of studying the effects of novel therapeutics aimed at reducing transplant rejection or treating autoimmune diseases. The ONE Study consortium has recently initiated a series of clinical trials aimed at using different cell therapies to promote tolerance to renal allografts. To compare the effectiveness of different cell therapies, the consortium developed a robust immune monitoring strategy, including procedures for whole blood (WB) leukocyte subset profiling by flow cytometry. METHODS: Six leukocyte profiling panels computing 7- to 9-surface marker antigens for monitoring the major leukocyte subsets as well as characteristics of T cell, B cell, and dendritic cell (DC) subsets were designed. The precision and variability of these panels were estimated. The assay was standardized within eight international laboratories using Flow-Set Pro beads for mean fluorescence intensity target definition and the flow cytometer setup procedure. Standardization was demonstrated by performing inter-site comparisons. RESULTS: Optimized methods for sample collection, storage, preparation, and analysis were established, including protocols for gating target subsets. WB specimen age testing demonstrated that staining must be performed within 4 hours of sample collection to keep variability low, meaning less than or equal to 10% for the majority of defined leukocyte subsets. Inter-site comparisons between all participating centers testing shipped normal WB revealed good precision, with a variability of 0.05% to 30% between sites. Intra-assay analyses revealed a variability of 0.05% to 20% for the majority of subpopulations. This was dependent on the frequency of the particular subset, with smaller subsets showing higher variability. The intra-assay variability performance defined limits of quantitation (LoQ) for subsets, which will be the basis for assessing statistically significant differences achieved by the different cell therapies. CONCLUSIONS: Local performance and central analysis of the ONE Study flow cytometry panel yields acceptable variability in a standardized assay at multiple international sites. These panels and procedures with WB allow unmanipulated analysis of changes in absolute cell numbers of leukocyte subsets in single- or multicenter clinical trials. Accordingly, we propose the ONE Study panel may be adopted as a standardized method for monitoring patients in clinical trials enrolling transplant patients, particularly trials of novel tolerance promoting therapies, to facilitate fair and meaningful comparisons between trials.
format Online
Article
Text
id pubmed-3827923
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-38279232013-11-20 Standardization of whole blood immune phenotype monitoring for clinical trials: panels and methods from the ONE study Streitz, Mathias Miloud, Tewfik Kapinsky, Michael Reed, Michael R Magari, Robert Geissler, Edward K Hutchinson, James A Vogt, Katrin Schlickeiser, Stephan Kverneland, Anders Handrup Meisel, Christian Volk, Hans-Dieter Sawitzki, Birgit Transplant Res Research BACKGROUND: Immune monitoring by flow cytometry is a fast and highly informative way of studying the effects of novel therapeutics aimed at reducing transplant rejection or treating autoimmune diseases. The ONE Study consortium has recently initiated a series of clinical trials aimed at using different cell therapies to promote tolerance to renal allografts. To compare the effectiveness of different cell therapies, the consortium developed a robust immune monitoring strategy, including procedures for whole blood (WB) leukocyte subset profiling by flow cytometry. METHODS: Six leukocyte profiling panels computing 7- to 9-surface marker antigens for monitoring the major leukocyte subsets as well as characteristics of T cell, B cell, and dendritic cell (DC) subsets were designed. The precision and variability of these panels were estimated. The assay was standardized within eight international laboratories using Flow-Set Pro beads for mean fluorescence intensity target definition and the flow cytometer setup procedure. Standardization was demonstrated by performing inter-site comparisons. RESULTS: Optimized methods for sample collection, storage, preparation, and analysis were established, including protocols for gating target subsets. WB specimen age testing demonstrated that staining must be performed within 4 hours of sample collection to keep variability low, meaning less than or equal to 10% for the majority of defined leukocyte subsets. Inter-site comparisons between all participating centers testing shipped normal WB revealed good precision, with a variability of 0.05% to 30% between sites. Intra-assay analyses revealed a variability of 0.05% to 20% for the majority of subpopulations. This was dependent on the frequency of the particular subset, with smaller subsets showing higher variability. The intra-assay variability performance defined limits of quantitation (LoQ) for subsets, which will be the basis for assessing statistically significant differences achieved by the different cell therapies. CONCLUSIONS: Local performance and central analysis of the ONE Study flow cytometry panel yields acceptable variability in a standardized assay at multiple international sites. These panels and procedures with WB allow unmanipulated analysis of changes in absolute cell numbers of leukocyte subsets in single- or multicenter clinical trials. Accordingly, we propose the ONE Study panel may be adopted as a standardized method for monitoring patients in clinical trials enrolling transplant patients, particularly trials of novel tolerance promoting therapies, to facilitate fair and meaningful comparisons between trials. BioMed Central 2013-10-25 /pmc/articles/PMC3827923/ /pubmed/24160259 http://dx.doi.org/10.1186/2047-1440-2-17 Text en Copyright © 2013 Streitz et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Streitz, Mathias
Miloud, Tewfik
Kapinsky, Michael
Reed, Michael R
Magari, Robert
Geissler, Edward K
Hutchinson, James A
Vogt, Katrin
Schlickeiser, Stephan
Kverneland, Anders Handrup
Meisel, Christian
Volk, Hans-Dieter
Sawitzki, Birgit
Standardization of whole blood immune phenotype monitoring for clinical trials: panels and methods from the ONE study
title Standardization of whole blood immune phenotype monitoring for clinical trials: panels and methods from the ONE study
title_full Standardization of whole blood immune phenotype monitoring for clinical trials: panels and methods from the ONE study
title_fullStr Standardization of whole blood immune phenotype monitoring for clinical trials: panels and methods from the ONE study
title_full_unstemmed Standardization of whole blood immune phenotype monitoring for clinical trials: panels and methods from the ONE study
title_short Standardization of whole blood immune phenotype monitoring for clinical trials: panels and methods from the ONE study
title_sort standardization of whole blood immune phenotype monitoring for clinical trials: panels and methods from the one study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3827923/
https://www.ncbi.nlm.nih.gov/pubmed/24160259
http://dx.doi.org/10.1186/2047-1440-2-17
work_keys_str_mv AT streitzmathias standardizationofwholebloodimmunephenotypemonitoringforclinicaltrialspanelsandmethodsfromtheonestudy
AT miloudtewfik standardizationofwholebloodimmunephenotypemonitoringforclinicaltrialspanelsandmethodsfromtheonestudy
AT kapinskymichael standardizationofwholebloodimmunephenotypemonitoringforclinicaltrialspanelsandmethodsfromtheonestudy
AT reedmichaelr standardizationofwholebloodimmunephenotypemonitoringforclinicaltrialspanelsandmethodsfromtheonestudy
AT magarirobert standardizationofwholebloodimmunephenotypemonitoringforclinicaltrialspanelsandmethodsfromtheonestudy
AT geissleredwardk standardizationofwholebloodimmunephenotypemonitoringforclinicaltrialspanelsandmethodsfromtheonestudy
AT hutchinsonjamesa standardizationofwholebloodimmunephenotypemonitoringforclinicaltrialspanelsandmethodsfromtheonestudy
AT vogtkatrin standardizationofwholebloodimmunephenotypemonitoringforclinicaltrialspanelsandmethodsfromtheonestudy
AT schlickeiserstephan standardizationofwholebloodimmunephenotypemonitoringforclinicaltrialspanelsandmethodsfromtheonestudy
AT kvernelandandershandrup standardizationofwholebloodimmunephenotypemonitoringforclinicaltrialspanelsandmethodsfromtheonestudy
AT meiselchristian standardizationofwholebloodimmunephenotypemonitoringforclinicaltrialspanelsandmethodsfromtheonestudy
AT volkhansdieter standardizationofwholebloodimmunephenotypemonitoringforclinicaltrialspanelsandmethodsfromtheonestudy
AT sawitzkibirgit standardizationofwholebloodimmunephenotypemonitoringforclinicaltrialspanelsandmethodsfromtheonestudy