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An eight-colour flow cytometric method for the detection of reference values of lymphocyte subsets in selected healthy donors

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Abstract

Determination of immunoregulatory cells in peripheral blood is important in the management of disease or in the therapeutic approaches that involve alterations in lymphocyte subpopulations. The aims of the present study were (1) to develop a standard multiparametric flow cytometric method for phenotypic detection and enumeration of lymphocyte subsets so as to reduce the variability in both sample preparation methodology and flow cytometric operations; (2) to furnish reference values of lymphocytes by using a selected healthy population; and (3) to examine the influence of age and sex on the distribution of lymphocytes expressing surface markers. Eighty healthy donors were analysed, and ten-parameter, eight-colour analytical procedure was performed. We furnished a panel to detect and to enumerate lymphocyte subpopulations by a multiparametric flow cytometric method to set the reference values to a selected healthy population. These values showed statistically but not clinically significant differences in T lymphocyte subsets and natural killer cells. Furthermore, significant age-related correlations in T lymphocyte and natural killer cells were observed. Lastly, males and females in relation to age showed a significant different trend in T and B lymphocyte subsets. We confirmed that this study provides a rapid and accurate method for the detection and quantification of lymphocyte subsets that could be utilized in the clinical settings. The definition of reference values in the healthy selected population could be helpful also to better define the disease status and to evaluate the treatment efficacy during clinical trials.

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References

  1. Paietta E (2003) How to optimize multiparameter flow cytometry for leukaemia/lymphoma diagnosis. Best Practice Res Clin Haematol 16:671–683

    Article  Google Scholar 

  2. Craig FE, Foon KA (2008) Flow cytometric immunophenotyping for hematologic neoplasms. Blood 111:3941–3967

    Article  CAS  PubMed  Google Scholar 

  3. Dörner T, Jacobi AM, Lee J, Lipsky PE (2011) Abnormalities of B cell subsets in patients with systemic lupus erytematosus. J Immunol Methods 363:187–197

    Article  PubMed  Google Scholar 

  4. de Vries RD, Yűksel S, Osterhaus ADME, de Swart RL (2010) Specific CD8+ T-lymphocytes control dissemination of measles virus. Eur J Immunol 40:388–395

    Article  PubMed  Google Scholar 

  5. Ashman M, Sachdeva N, Davila L, Scott G, Mitchell C, Cintron L, Rathore M, Asthana D (2007) Influence of 4- and 6-color flow cytometers and acquisition/analysis softwares on the determination of lymphocyte subsets in HIV infection. Cytometry Part B (Clin Cytometry) 72B:380–386

    Article  Google Scholar 

  6. Frahm MA, Picking RA, Kuruc JD, McGee KS, Gay CL, Eron JJ, Hicks CB, Tomaras GD, Ferrari G (2012) CD4 + CD8 + T cells represent a significant portion of the anti-HIV T cell response to acute HIV infection. J Immunol 188:4289–4296

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  7. Wikén M, Grunewald J, Eklund A, Wahlström J (2012) Multiparameter phenotyping of T-cell subsets in distinct subgroups of patients with pulmonary sarcoidosis. J Intern Med 271:90–103

    Article  PubMed  Google Scholar 

  8. Schwenk M, Sack U, Esser C, Klein R (2007) Diagnostic relevance of the determination of lymphocyte subpopulations in environmental medicine. Int J Hyg Environ-Health 210:177–198

    Article  CAS  PubMed  Google Scholar 

  9. Torres AJL, Angelo ALD, Netto EM, Sampaio GP, Souza DFC, Inocencio LA, Lemos JAR, Brites C (2009) Reference range for T lymphocytes populations in blood donors from two different regions in Brazil. BJID 13:221–225

    CAS  Google Scholar 

  10. Amatya R, Vajpayee M, Kaushik S, Kanswal S, Pandey RM, Seth P (2004) Lymphocyte immunophenotype reference ranges in healthy Indian adults: implications for management of HIV/AIDS in India. Clin Immunol 112:290–295

    Article  CAS  PubMed  Google Scholar 

  11. Alamooti AA, Ardalan FA, Abdolahi A, Zeidi M, Firouzjaie F (2010) Determination of lymphocyte subsets reference values in healthy Iranian men by a single platform flow cytometric method. Cytometry Part A 77A:890–894

    Article  Google Scholar 

  12. Anonymous (2002) World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. J Postgrad Med 48:206–208

    Google Scholar 

  13. Rovati B, Mariucci S, Manzoni M, Bencardino K, Danova M (2008) Flow cytometric detection of circulating dendritic cells in healthy subjects. EJH 52:45–52

    PubMed  Google Scholar 

  14. Mariucci S, Rovati B, Bencardino K, Manzoni M, Danova M (2010) Flow cytometric detection of circulating endothelial cells and endothelial progenitors in healthy subjects. IJLH 32:e40–e48

    CAS  Google Scholar 

  15. Manzoni M, Rovati B, Ronzoni M, Loupakis F, Mariucci S, Ricci V, Gattoni E, Salvatore L, Tinelli C, Villa E, Danova M (2010) Immunological effects of bevacizumab-based treatment in metastatic colorectal cancer. Oncology 79:187–196

    Article  CAS  PubMed  Google Scholar 

  16. Whitby L, Granger W, Storie I, Goodfellow K, Sawle A, Reilly JT, Barnett D (2002) Quality control of CD4 + T-lymphocyte enumeration: results from 9 years of the United Kingdom National External Quality Assessment Scheme for Immune Monitoring (1993–2001). Cytometry 50:102–110

    Article  PubMed  Google Scholar 

  17. CLSI (2008) Defining, establishing, and verifying reference intervals in the clinical laboratory; approved guideline, 3rd edn. CLSI, Wayn

    Google Scholar 

  18. Horn PS, Pesce AJ, Copeland BE (1998) A robust approach to reference interval estimation and evaluation. Clin Chem 44:622–631

    CAS  PubMed  Google Scholar 

  19. Geffré A, Concordet D, Braun JP, Trumel C (2011) Reference value advisor: a new freeware set of macroinstructions to calculate reference intervals with microsoft excel. Vet Clin Pathol 40(1):107–112

    Article  PubMed  Google Scholar 

  20. Yang Y, Qiu ZF, Xie J, Li DJ, Li TS (2009) References ranges and age-related changes of peripheral blood lymphocyte subsets in Chinese healthy adults. Sci China Ser C-Life Sci 52:643–650

    Article  Google Scholar 

  21. Bisset LR, Lung TL, Kaelia M, Ludwig E, Dubs RW (2004) Reference values for peripheral blood lymphocyte phenotypes applicable to the healthy adult population in Switzerland. Eur J Haematol 72:203–212

    Article  PubMed  Google Scholar 

  22. Saxena RK, Choudhry V, Nath I, Das SN, Paranjape RS, Babu G, Ramlingam S, Mohanty D, Vohra H, Thomas M, Saxena QB, Ganguly NK (2004) Normal ranges of some select lymphocyte sub-populations in peripheral blood of normal healthy Indians. Curr Sci 86:969–975

    Google Scholar 

  23. Chng WJ, Tan GB, Kuperan P (2004) Establishment of adult peripheral blood Lymphocyte subset reference range for an Asian population by single- platform flow cytometry: influence of age, sex and race and comparison with other published studies. Clin Diag Lab Immunol 11:168–173

    Google Scholar 

  24. Olsen NJ, Olson G, Viselli SM, Gu X, Kovacs WJ (1998) Androgen receptors in thymic epithelium modulate thymus size and thymocyte development. Endocrinology 139:748–752

    CAS  PubMed  Google Scholar 

  25. Santagostino A, Garbaccio G, Bolis V, Pistorio A, Camisasca G, Pagliaro P, Girotto M (1999) An Italian National multicenter study for the definition of reference ranges for normal values of peripheral blood lymphocyte subsets in healthy adults. Haematologica 84:499–504

    CAS  PubMed  Google Scholar 

  26. Jeutsch-Ullrich K, Koenigsmann M, Mohren M, Franke A (2005) A Lymphocyte subsets reference ranges in an age- and gender-balanced population of 100 healthy adults—a monocentric german study. Clin Immunol 116:192–197

    Article  Google Scholar 

  27. Reichert T, DeBrujere M, Deneys V, Tötterman T, Lydyard P, Yhksel F, Chapel H, Jewell D, Van Hove L, Linden J, Buchner L (1991) Lymphocyte subset reference ranges in adult Caucasians. Clin Immunol Immunopathol 60:190–208

    Article  CAS  PubMed  Google Scholar 

  28. Blue ML, Daley JF, Levine H, Schlossman SF (1985) Coexpression of T4 and T8 on peripheral blood T cells demonstrated by two-color fluorescence flow cytometry. J Immunol 134:2281–2286

    CAS  PubMed  Google Scholar 

  29. Nascimbeni M, Shin EC, Chiriboga L, Kleiner DE, Rehermann B (2004) Peripheral CD4 (+) CD8 (+) T cells are differentiated effector memory with antiviral functions. Blood 104:478–486

    Article  CAS  PubMed  Google Scholar 

  30. Kay NE, Bone N, Hupke M, Dalmasso AP (1990) Expansion of a lymphocyte population co-expressing T4 (CD4) and T8 (CD8) antigens in the peripheral blood of a normal adult male. Blood 75:2024–2029

    CAS  PubMed  Google Scholar 

  31. Tonutti E, Sala P, Feruglio C, Yin Z, Colombatti A (1994) Phenotypic heterogeneity of persistent expansion of CD4 + CD8 + T cells. Clin Immunol Immunopath 73:312–320

    Article  CAS  Google Scholar 

  32. Ghia P, Prato G, Stella S, Scielzo C, Geuna M, Caligaris-Cappio F (1994) Age-dependent accumulation of monoclonal CD4 + CD8 + double positive T lymphocytes in the peripheral blood in the elderly. BJH 139:180–190

    Google Scholar 

  33. Globerson A, Effros RB (2000) Ageing of lymphocytes and lymphocytes in the aged. Immunol Today 21:515–521

    Article  CAS  PubMed  Google Scholar 

  34. Solana R, Mariani E (2000) NK and NK/T cells in human senescence. Vaccine 18:1613–1620

    Article  CAS  PubMed  Google Scholar 

  35. Wallace DL, Zhang Y, Ghattas H, Worth A, Irvine A, Bennett AR, Griffin GE, Beverley CL, Tough DF, Macallan DC (2004) Direct measurement of T cell subset kinetics in vivo elderly men and women. J Immunol 173:1787–1794

    Article  CAS  PubMed  Google Scholar 

  36. Utzuyama M, Hirokawa K, Kurashima C, Fukayama M, Inamatzu T, Suzuki K, Hashimoto W, Sato K (1992) Differential age-related changes in the number of CD4 + CD45RA + and CD4 + CD29 + T cell subset in human peripheral blood. Mech Againg Dev 63:37

    Google Scholar 

  37. Lerner A, Yamada T, Miller RA (1989) Pgp-1 hi T lymphocytes accumulate with age in mice and respond poorly to concanavalin A. Eur J Immunol 19:977

    Article  CAS  PubMed  Google Scholar 

  38. Franceschi C, Monti D, Sansoni P, Cossarizza A (1995) The immunology of exceptional individuals: the lesson of centenarians. Immunol Today 16:1613–1620

    Google Scholar 

  39. Howard RR, Fasano CS, Frey L, Miller CH (1996) Reference intervals of CD3, CD4, CD8, CD4/CD8, and absolute CD4 values in Asian and non-Asian populations. Cytometry 26:231–232

    Article  CAS  PubMed  Google Scholar 

  40. Tollerud DJ, Ildstad ST, Brown LM, Clark WA, Blattner DL, Mann CY, Neuland L, Pankiw-Trost RN (1990) Hoover, T-cell subsets in healthy teenagers: transition to the adult phenotype. Clin Immunol Immunopathol 56:88–96

    Article  CAS  PubMed  Google Scholar 

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Acknowledgments

The present work was partly supported by a research grant (number 08067611 to P.Pedrazzoli) from the Fondazione IRCCS Policlinico S.Matteo–Pavia. We wish to thank all the volunteers for taking part in the study.

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Correspondence to Sara Mariucci.

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Rovati, B., Mariucci, S., Poma, R. et al. An eight-colour flow cytometric method for the detection of reference values of lymphocyte subsets in selected healthy donors. Clin Exp Med 14, 249–259 (2014). https://doi.org/10.1007/s10238-013-0239-4

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  • DOI: https://doi.org/10.1007/s10238-013-0239-4

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