Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Differential blood leukocyte populations based on individual variances and age

Differential blood leukocyte populations based on individual variances and age Blood was collected from the New York State Department of Health (NYSDOH) employees to assess variances in leukocyte numbers in January, May, and September throughout a year and over many years. Women and men of ages 20 to 80 volunteered to donate for this program. Most of the blood came from healthy individuals, and many remained healthy throughout the years of their blood donations. The major objective was to determine the extent that blood leukocyte numbers change so that transient vs more lingering changes may be helpful in assessing health status. Since some donors remained in the program for 14 years, age influences over time could be determined. Within a short period of 2–3 years, the flow cytometric immunophenotypic profile of blood lymphocyte is relatively stable with a CV% of < 20%. However, as humans age, the blood CD3+ T cell, CD8+ T cell, B cell, NKT cell, and CD4−/CD8− double-negative T cell (DN-T cell) subsets declined in cell numbers/μL, but the double-positive CD4+/CD8+ T cells (DP-T cells) increased in numbers. The extent and chronology of a variance, e.g., a subset exceeding its 75th or 90th percentile, might be indicative of a transient or chronic physiological or psychosocial stress affecting health or a developing pathology; however, because of the wide ranges of cell numbers/μL for each subset among individuals reported as healthy, everyone’s immunity and health must be carefully evaluated. A CD4 to CD8 ratio (4/8R) of < 1 has been used to define an immunodeficiency such as HIV-induced AIDS, but a high 4/8R is less well associated with health status. A high 4/8R or granulocyte to lymphocyte ratio (GLR) might be an indicator of a stress, infection, or immune-related pathology. Sporadic and longitudinal increases of GLRs are reported. The results suggest that there are some age and sex differences in leukocyte numbers; stress influences on the blood profile of leukocytes likely exist. However, some values exceeding 2 standard deviations from means do not necessarily predict a health concern, whereas a longitudinal increase or decline might be indicative of a need for further evaluations. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Immunologic Research Springer Journals

Differential blood leukocyte populations based on individual variances and age

Loading next page...
 
/lp/springer-journals/differential-blood-leukocyte-populations-based-on-individual-variances-71ggdPhK0A

References (73)

  • MP Swan (2014)

    276

    Lab Anim, 43

  • J Wang (1999)

    47

    Cell, 98

  • MH Nikoo (2014)

    246

    Iran J Immunol, 11

  • EV Moltchanova (2009)

    673

    Diabet Med, 26

  • S Demir (2015)

    2253

    Neuropsychiatr Dis Treat, 11

  • T Asaoka (2016)

    434

    Pancreatology, 16

  • IM Rea (2018)

    586

    Front Immunol, 9

  • LF García (2020)

    1441

    Front Immunol, 11

  • FS Dhabhar (2012)

    1345

    Psychoneuroendocrinology, 37

  • T Yamamura (2007)

    8

    J Neuroimmunol, 191

  • G Galli (2007)

    3984

    Proc Natl Acad Sci U S A, 104

  • B Kulaksizoglu (2016)

    1999

    Neuropsychiatr Dis Treat, 12

  • E Holzelova (2004)

    1409

    N Engl J Med, 351

  • M Marchioni (2016)

    473

    Clin Genitourin Cancer, 14

  • M Iwata (2016)

    12

    Biol Psychiatry, 80

  • A van den Berg (2003)

    546

    Am J Surg Pathol., 27

  • JS Bezbradica (2005)

    5114

    Proc Natl Acad Sci U S A, 102

  • P Sansoni (2008)

    61

    Exp Gerontol, 43

  • P Lecot (2019)

    2155

    Front Immunol, 10

  • E Kenny (2000)

    178

    Immunology, 101

  • X Li (2020)

    398

    Immunol Res, 68

  • H Akari (1997)

    591

    Int Immunol, 9

  • J Kasten-Jolly, DA Lawrence (2019)

    The minor T cell subsets in blood may not be minor in helping to assess human health

    J Immunol Forecast, 2

  • C Falandry (2013)

    257

    Crit Rev Oncol Hematol, 85

  • BJ Prendergast (2007)

    1096

    Brain Behav Immun, 21

  • A Bektas (2017)

    977

    J Leukoc Biol, 102

  • ME Afari (2016)

    573

    Expert Rev Cardiovasc Ther, 14

  • LM Gudenkauf (2018)

    1

    Breast, 38

  • M Kronenberg (2007)

    186

    Curr Opin Immunol, 19

  • EA Sunbul (2016)

    121

    Psychiatry Investig, 13

  • PH Gibson (2010)

    186

    Am J Cardiol, 105

  • RC Bowen (2017)

    32171

    Oncotarget., 8

  • G Guo (2018)

    e0208547

    PLoS ONE, 13

  • JJ Goronzy (2007)

    400

    Exp Gerontol, 42

  • A Bristeau-Leprince (2008)

    440

    J Immunol, 181

  • R Miyamoto (2018)

    607

    Eur J Surg Oncol, 44

  • NH Overgaard (2015)

    31

    J Leukoc Biol, 97

  • R Valiathan (2016)

    255

    Scand J Immunol, 83

  • XC Dopico (2015)

    7000

    Nat Commun, 6

  • FC Paquissi (2016)

    851

    Ther Clin Risk Manag, 12

  • F Balkwill (2001)

    539

    Lancet, 357

  • S Gupta (2008)

    266

    Exp Gerontol, 43

  • DB Sacdalan (2018)

    955

    Onco Targets Ther, 11

  • S Miyake (2007)

    251

    Curr Top Microbiol Immunol, 314

  • M Maes (1999)

    1

    Neuropsychobiology, 39

  • TG Paglieroni (1994)

    512

    Transfusion, 34

  • L Van Kaer (2007)

    354

    Curr Opin Immunol, 19

  • S Diem (2017)

    176

    Lung Cancer, 111

  • M Pinti (2016)

    2286

    Eur J Immunol, 46

  • A Haram (2017)

    470

    J Surg Oncol, 115

  • JP Pell (1999)

    689

    QJM, 92

  • OC Illoh (2004)

    23

    Arch Pathol Lab Med, 128

  • J Kasten-Jolly (2019)

    1007

    J Immunol Forecast, 2

  • T Fülöp (2019)

    495

    Gerontology, 65

  • FA Zuckermann (1999)

    55

    Vet Immunol Immunopathol, 72

  • JJ Bleesing (2001)

    2466

    Blood, 98

  • PA Sieling (2000)

    5338

    J Immunol, 165

  • Y Arbel (2012)

    456

    Atherosclerosis, 225

  • S Tokgoz (2013)

    1169

    J Stroke Cerebrovasc Dis, 22

  • N Iikuni (2007)

    846

    Rheumatology (Oxford), 46

  • JW Gratama (2002)

    92

    Cytometry, 50

  • P Ghia (2007)

    780

    Br J Haematol, 139

  • JA McBride (2017)

    e1006624

    PLos Pathog, 13

  • E Tupin (2007)

    405

    Nat Rev Microbiol, 5

  • MH Nikoo, SR Taghavian, H Golmoghaddam, N Arandi, A Abdi Ardakani, M Doroudchi (2014)

    Increased IL-17A in atrial fibrillation correlates with neutrophil to lymphocyte ratio

    Iran J Immunol, 11

  • G Ertaş (2013)

    49

    J Neurol Sci, 324

  • CT Schnizlein-Bick (2002)

    46

    Division AIDS Cytomtery, 50

  • N Nishitani (2014)

    531

    Ind Health, 52

  • I Laux (2000)

    187

    Clin Immunol, 96

  • G Pawelec (2017)

    717

    Biogerontology, 18

  • F Mandy (2002)

    111

    Cytometry, 50

  • JL Ethier (2017)

    2

    Breast Cancer Res, 19

  • TJ Zieziulewicz (2013)

    279

    Cell Stress Chaperones, 18

Publisher
Springer Journals
Copyright
Copyright © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021
ISSN
0257-277X
eISSN
1559-0755
DOI
10.1007/s12026-021-09257-6
Publisher site
See Article on Publisher Site

Abstract

Blood was collected from the New York State Department of Health (NYSDOH) employees to assess variances in leukocyte numbers in January, May, and September throughout a year and over many years. Women and men of ages 20 to 80 volunteered to donate for this program. Most of the blood came from healthy individuals, and many remained healthy throughout the years of their blood donations. The major objective was to determine the extent that blood leukocyte numbers change so that transient vs more lingering changes may be helpful in assessing health status. Since some donors remained in the program for 14 years, age influences over time could be determined. Within a short period of 2–3 years, the flow cytometric immunophenotypic profile of blood lymphocyte is relatively stable with a CV% of < 20%. However, as humans age, the blood CD3+ T cell, CD8+ T cell, B cell, NKT cell, and CD4−/CD8− double-negative T cell (DN-T cell) subsets declined in cell numbers/μL, but the double-positive CD4+/CD8+ T cells (DP-T cells) increased in numbers. The extent and chronology of a variance, e.g., a subset exceeding its 75th or 90th percentile, might be indicative of a transient or chronic physiological or psychosocial stress affecting health or a developing pathology; however, because of the wide ranges of cell numbers/μL for each subset among individuals reported as healthy, everyone’s immunity and health must be carefully evaluated. A CD4 to CD8 ratio (4/8R) of < 1 has been used to define an immunodeficiency such as HIV-induced AIDS, but a high 4/8R is less well associated with health status. A high 4/8R or granulocyte to lymphocyte ratio (GLR) might be an indicator of a stress, infection, or immune-related pathology. Sporadic and longitudinal increases of GLRs are reported. The results suggest that there are some age and sex differences in leukocyte numbers; stress influences on the blood profile of leukocytes likely exist. However, some values exceeding 2 standard deviations from means do not necessarily predict a health concern, whereas a longitudinal increase or decline might be indicative of a need for further evaluations.

Journal

Immunologic ResearchSpringer Journals

Published: Feb 1, 2022

Keywords: Granulocytes; Lymphocytes; T cell subsets; Age; Sex; Stress; NK cells; NKT cells

There are no references for this article.