Age and gender leucocytes variances and references values generated using the standardized ONE-Study protocol

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Standard

Age and gender leucocytes variances and references values generated using the standardized ONE-Study protocol. / Kverneland, Anders H.; Streitz, Mathias; Geissler, Edward; Hutchinson, James; Vogt, Katrin; Boës, David; Niemann, Nadja; Pedersen, Anders Elm; Schlickeiser, Stephan; Sawitzki, Birgit.

I: Cytometry. Part A, Bind 89, Nr. 6, 06.2016, s. 543-564.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Kverneland, AH, Streitz, M, Geissler, E, Hutchinson, J, Vogt, K, Boës, D, Niemann, N, Pedersen, AE, Schlickeiser, S & Sawitzki, B 2016, 'Age and gender leucocytes variances and references values generated using the standardized ONE-Study protocol', Cytometry. Part A, bind 89, nr. 6, s. 543-564. https://doi.org/10.1002/cyto.a.22855

APA

Kverneland, A. H., Streitz, M., Geissler, E., Hutchinson, J., Vogt, K., Boës, D., Niemann, N., Pedersen, A. E., Schlickeiser, S., & Sawitzki, B. (2016). Age and gender leucocytes variances and references values generated using the standardized ONE-Study protocol. Cytometry. Part A, 89(6), 543-564. https://doi.org/10.1002/cyto.a.22855

Vancouver

Kverneland AH, Streitz M, Geissler E, Hutchinson J, Vogt K, Boës D o.a. Age and gender leucocytes variances and references values generated using the standardized ONE-Study protocol. Cytometry. Part A. 2016 jun.;89(6):543-564. https://doi.org/10.1002/cyto.a.22855

Author

Kverneland, Anders H. ; Streitz, Mathias ; Geissler, Edward ; Hutchinson, James ; Vogt, Katrin ; Boës, David ; Niemann, Nadja ; Pedersen, Anders Elm ; Schlickeiser, Stephan ; Sawitzki, Birgit. / Age and gender leucocytes variances and references values generated using the standardized ONE-Study protocol. I: Cytometry. Part A. 2016 ; Bind 89, Nr. 6. s. 543-564.

Bibtex

@article{6e1a6721462f4388817e015fbb4be0fe,
title = "Age and gender leucocytes variances and references values generated using the standardized ONE-Study protocol",
abstract = "Flow cytometry is now accepted as an ideal technology to reveal changes in immune cell composition and function. However, it is also an error-prone and variable technology, which makes it difficult to reproduce findings across laboratories. We have recently developed a strategy to standardize whole blood flow cytometry. The performance of our protocols was challenged here by profiling samples from healthy volunteers to reveal age- and gender-dependent differences and to establish a standardized reference cohort for use in clinical trials. Whole blood samples from two different cohorts were analyzed (first cohort: n = 52, second cohort: n = 46, both 20–84 years with equal gender distribution). The second cohort was run as a validation cohort by a different operator. The “ONE Study” panels were applied to analyze expression of >30 different surface markers to enumerate proportional and absolute numbers of >50 leucocyte subsets. Indeed, analysis of the first cohort revealed significant age-dependent changes in subsets e.g. increased activated and differentiated CD4+ and CD8+ T cell subsets, acquisition of a memory phenotype for Tregs as well as decreased MDC2 and Marginal Zone B cells. Males and females showed different dynamics in age-dependent T cell activation and differentiation, indicating faster immunosenescence in males. Importantly, although both cohorts consisted of a small sample size, our standardized approach enabled validation of age-dependent changes with the second cohort. Thus, we have proven the utility of our strategy and generated reproducible reference ranges accounting for age- and gender-dependent differences, which are crucial for a better patient monitoring and individualized therapy.",
keywords = "adaptive immunity, aging, immunosenescence, innate immunity, standardization",
author = "Kverneland, {Anders H.} and Mathias Streitz and Edward Geissler and James Hutchinson and Katrin Vogt and David Bo{\"e}s and Nadja Niemann and Pedersen, {Anders Elm} and Stephan Schlickeiser and Birgit Sawitzki",
year = "2016",
month = jun,
doi = "10.1002/cyto.a.22855",
language = "English",
volume = "89",
pages = "543--564",
journal = "Cytometry. Supplement : the journal of the Society for Analytical Cytology",
issn = "1046-7386",
publisher = "JohnWiley & Sons, Inc.",
number = "6",

}

RIS

TY - JOUR

T1 - Age and gender leucocytes variances and references values generated using the standardized ONE-Study protocol

AU - Kverneland, Anders H.

AU - Streitz, Mathias

AU - Geissler, Edward

AU - Hutchinson, James

AU - Vogt, Katrin

AU - Boës, David

AU - Niemann, Nadja

AU - Pedersen, Anders Elm

AU - Schlickeiser, Stephan

AU - Sawitzki, Birgit

PY - 2016/6

Y1 - 2016/6

N2 - Flow cytometry is now accepted as an ideal technology to reveal changes in immune cell composition and function. However, it is also an error-prone and variable technology, which makes it difficult to reproduce findings across laboratories. We have recently developed a strategy to standardize whole blood flow cytometry. The performance of our protocols was challenged here by profiling samples from healthy volunteers to reveal age- and gender-dependent differences and to establish a standardized reference cohort for use in clinical trials. Whole blood samples from two different cohorts were analyzed (first cohort: n = 52, second cohort: n = 46, both 20–84 years with equal gender distribution). The second cohort was run as a validation cohort by a different operator. The “ONE Study” panels were applied to analyze expression of >30 different surface markers to enumerate proportional and absolute numbers of >50 leucocyte subsets. Indeed, analysis of the first cohort revealed significant age-dependent changes in subsets e.g. increased activated and differentiated CD4+ and CD8+ T cell subsets, acquisition of a memory phenotype for Tregs as well as decreased MDC2 and Marginal Zone B cells. Males and females showed different dynamics in age-dependent T cell activation and differentiation, indicating faster immunosenescence in males. Importantly, although both cohorts consisted of a small sample size, our standardized approach enabled validation of age-dependent changes with the second cohort. Thus, we have proven the utility of our strategy and generated reproducible reference ranges accounting for age- and gender-dependent differences, which are crucial for a better patient monitoring and individualized therapy.

AB - Flow cytometry is now accepted as an ideal technology to reveal changes in immune cell composition and function. However, it is also an error-prone and variable technology, which makes it difficult to reproduce findings across laboratories. We have recently developed a strategy to standardize whole blood flow cytometry. The performance of our protocols was challenged here by profiling samples from healthy volunteers to reveal age- and gender-dependent differences and to establish a standardized reference cohort for use in clinical trials. Whole blood samples from two different cohorts were analyzed (first cohort: n = 52, second cohort: n = 46, both 20–84 years with equal gender distribution). The second cohort was run as a validation cohort by a different operator. The “ONE Study” panels were applied to analyze expression of >30 different surface markers to enumerate proportional and absolute numbers of >50 leucocyte subsets. Indeed, analysis of the first cohort revealed significant age-dependent changes in subsets e.g. increased activated and differentiated CD4+ and CD8+ T cell subsets, acquisition of a memory phenotype for Tregs as well as decreased MDC2 and Marginal Zone B cells. Males and females showed different dynamics in age-dependent T cell activation and differentiation, indicating faster immunosenescence in males. Importantly, although both cohorts consisted of a small sample size, our standardized approach enabled validation of age-dependent changes with the second cohort. Thus, we have proven the utility of our strategy and generated reproducible reference ranges accounting for age- and gender-dependent differences, which are crucial for a better patient monitoring and individualized therapy.

KW - adaptive immunity

KW - aging

KW - immunosenescence

KW - innate immunity

KW - standardization

U2 - 10.1002/cyto.a.22855

DO - 10.1002/cyto.a.22855

M3 - Journal article

C2 - 27144459

AN - SCOPUS:84964792007

VL - 89

SP - 543

EP - 564

JO - Cytometry. Supplement : the journal of the Society for Analytical Cytology

JF - Cytometry. Supplement : the journal of the Society for Analytical Cytology

SN - 1046-7386

IS - 6

ER -

ID: 178844561