Reference Values for a Panel of Cytokinergic and Regulatory Lymphocyte Subpopulations.
- Author:
Vincenzo SORRENTI
1
;
Bruno MARENDA
;
Stefano FORTINGUERRA
;
Claudia CECCHETTO
;
Roberta QUARTESAN
;
Giulia ZORZI
;
Morena ZUSSO
;
Pietro GIUSTI
;
Alessandro BURIANI
Author Information
- Publication Type:Original Article
- Keywords: Cytokines; Immune dysregulation; Lymphocyte subsets; Personalized medicine; Reference range; Diagnostic-omics
- MeSH: Biomarkers; Cytokines; Humans; Italy; Lymphocyte Subsets*; Lymphocytes*; Outpatients; Precision Medicine; Reference Values*; Retrospective Studies; Specialization; Systems Analysis
- From:Immune Network 2016;16(6):344-357
- CountryRepublic of Korea
- Language:English
- Abstract: Lymphocyte subpopulations producing cytokines and exerting regulatory functions represent key immune elements. Given their reciprocal interdependency lymphocyte subpopulations are usually assayed as diagnostic panels, rather than single biomarkers for specialist clinical use. This retrospective analysis on lymphocyte subpopulations, analyzed over the last few years in an outpatient laboratory in Northeast Italy, contributes to the establishment of reference values for several regulatory lymphocytes currently lacking such reference ranges for the general population. Mean values and ranges in a sample of Caucasian patients (mean age 42±8,5 years), were provided for Th1, Th2, Th17, Th-reg, Tc-reg, Tc-CD57⁺ and B1 lymphocytes. The results are consistent with what is found in literature for the single subtypes and are: Th1 157.8±60.3/µl (7.3%±2.9); Th2 118.2±52.2/µl (5.4%±2.5); Th17 221.6±90.2/µl (10.5%±4.4); Th-reg 15.1±10.2/µl (0.7%±0.4); Tc-reg 5.8±4.7/µl (0.3%±0.2); Tc-CD57+ 103.7±114.1/µl (4.6%±4.7); B1 33.7±22.8/µl (1.5%±0.9); (Values are mean±SD). The results show that despite their variability, mean values are rather consistent in all age or sex groups and can be used as laboratory internal reference for this regulatory panel. Adding regulatory cells to lymphocyte subpopulations panels allows a more complete view of the state of the subject's immune network balance, thus improving the personalization and the “actionability” of diagnostic data in a systems medicine perspective.
