期刊
BMC IMMUNOLOGY
卷 20, 期 1, 页码 -出版社
BMC
DOI: 10.1186/s12865-019-0313-0
关键词
Chemokine; Cytokines; Immune activation; Interleukin; Soluble markers
类别
资金
- National Institutes of Health [U01-A1-35042]
- National Institute of Allergy and Infectious Diseases
- National Cancer Institute [U01-AI35042, 5-M01-RR00722, U01-A135043, U01-AI37984, U01-A135039, U01-AI35040, U01-AI37613, U01-AI35041]
- National Cancer Institute, National Institutes of Health [N01-CO56000]
Background Cytokines, chemokines, adipocytokines, soluble cell receptors, and immune activation markers play an important role in immune responsiveness and can provide prognostic value since they reflect underlying conditions and disease states. This study was undertaken to investigate the components of biological variation for various laboratory tests of blood immunological biomarkers. Results Estimates of intra-individual coefficient of variation (CVI) and inter-individual coefficient of variation (CVG) were examined for blood immunological biomarkers. Biomarkers with CVI < 10% for both genders were CD3, CD4, and CD8 T-cells, serum levels of soluble cluster of differentiation 14 (sCD14), sCD163, and soluble glycoprotein 130 (sgp130). The CVI for serum levels of adiponectin, interleukin-1 receptor antagonist (IL-1Ra), macrophage inflammatory protein 1 beta (MIP-1 beta), soluble CD40 Ligand (sCD40L), soluble interleukin-2 receptor alpha (sIL-2R alpha), soluble interleukin-6 receptor (sIL-6R), soluble tumor necrosis factor receptor II (sTNF-RII), and tumor necrosis factor alpha (TNF-alpha) were between 11 and 20%. Biomarkers with CVG < 20% were CD3 T-cell, and serum concentrations of sCD14, sCD40L, and sgp130. The biomarkers with CVG > 40% were adiponectin, IL-1ra, leptin, MIP-1 beta, sCD163, and sIL-2R alpha. Conclusion The biological variations of biomarkers have important monitoring value for longitudinal investigation and are essential for quality specification of tests that are performed in the laboratory. The CVI was relatively small while CVG was comparatively large and mean values of each biomarker vary between subjects. The individuality of biomarkers significantly influences reference interval values. A majority of the biomarkers in this study had strong individuality and the result of each biomarker should be cautiously interpreted if using established reference interval values. Comparison of a patient's test result with previous ones may be more useful than the usage of conventional reference values.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据