Research Paper Volume 12, Issue 10 pp 9328—9343
Establishing immune scoring model based on combination of the number, function, and phenotype of lymphocytes
- 1 Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- 2 Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- 3 Key Laboratory of Organ Transplantation, Ministry of Education, Ministry of Public Health, Chinese Academy of Medical Sciences, Beijing, China
- 4 Department of Nephrology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- 5 The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- 6 Center for Cellular and Molecular Diagnosis, Biochemistry and Molecular Biology, Tulane University School of Medicine, New Orleans, LA 70112, USA
Received: January 4, 2020 Accepted: April 17, 2020 Published: May 12, 2020
https://doi.org/10.18632/aging.103208How to Cite
Copyright © 2020 Tang et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Background: Quantitatively assessing host immunity remains a challenge in clinical practice.
Results: Most parameters in lymphocyte number, function and phenotype were correlated with age. The reference ranges of these parameters were established in four age groups (children, adolescents, adults, and elders). The numbers of CD4+ T cells, CD8+ T cells, B cells, but not NK cells, were negatively correlated with age. However, the function of CD4+ T cells, CD8+ T cells and NK cells was positively correlated with age. The expression of CD28 on T cells gradually decreased with increasing age and was negatively correlated with their function. An opposite phenomenon was observed in the expressions of HLA-DR and CD45RO on T cells. An immune scoring model was established by using 8 parameters (CD4+ T cell number × function, CD28+CD4+ T cell number, HLA-DR+CD4+ T cell number, CD45RO+CD4+ T cell number, CD8+ T cell number × function, CD28+CD8+ T cell number, HLA-DR+CD8+ T cell number, NK cell number × function) from the results of lymphocyte number, function, and phenotype. This immune scoring model showed sensitivities of 70% and 71.4% in determining hyper-immune and hypo-immune status, respectively.
Conclusions: An immune scoring model based on combination of lymphocyte number, function, and phenotype shows potential value in quantitatively assessing host immunity.
Methods: 261 healthy individuals aged 1 to 82 years were recruited from Tongji Hospital. The number, function, and phenotype of CD4+ T cells, CD8+ T cells and NK cells were simultaneously determined.