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Preparation of Peripheral Blood Mononuclear Cell Pellets and Plasma from a Single Blood Draw at Clinical Trial Sites for Biomarker Analysis
Published on: March 20, 2021
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PERIPHERIAL BLOOD BIOMARKERS IN PATIENTS WITH REFRACTORY IMMUNE THROMBOCYTOPENIA
S Metreveli1, I Kvachadze2, N Kikodze3
1Tbilisi State Medical University, 1Department of Immunology; Georgia.
Georgian Medical News
|July 17, 2020
Summary
Inflammatory markers like NLR and dNLR are elevated, while SII, PLR, and PMR are decreased in immune thrombocytopenia (ITP) patients refractory to treatment. These biomarkers show diagnostic potential for ITP management.
Area of Science:
- Hematology
- Immunology
- Oncology
Background:
- Immune thrombocytopenia (ITP) is an autoimmune disorder characterized by autoantibodies against platelet antigens, leading to thrombocytopenia.
- The precise pathogenesis of ITP remains incompletely understood, with limited evidence on inflammatory factors in treatment-refractory cases.
Purpose of the Study:
- To investigate the diagnostic value of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), platelet-to-monocyte ratio (PMR), derived NLR (dNLR), and systemic immune-inflammation index (SII) in ITP patients.
- To assess these inflammatory biomarkers in patients refractory to first-line treatment and undergoing splenectomy as second-line therapy.
Main Methods:
- Statistical analyses of inflammatory biomarkers were conducted using SPSS v.26 and Graph Pad Prism.
- Correlations between variables were determined using Spearman's correlation coefficient.
- Receiver operating characteristic (ROC) curve analysis was employed to compare the area under the curve (AUC), sensitivity, specificity, and cut-off values.
Main Results:
- NLR and dNLR were significantly increased (p<0.0001), while SII (p=0.0003), PMR, and PLR (p<0.0001) were significantly decreased in ITP patients compared to age-matched controls.
- Platelet (PLT) levels showed a negative correlation with NLR and dNLR (r=-0.605, P<0.01) and a positive correlation with SII, PLR, and PMR (SII r=0.799; PLR r=0.863; PMR r=0.40, P<0.01).
- ROC curve analysis indicated high diagnostic potential for PLR (AUC=1.000, P=0.05) and PMR (AUC=1.000, P<0.001), followed by SII (AUC=0.899, P=0.002), NLR (AUC=0.875, P=0.04), and dNLR (AUC=0.869, P=0.05).
Conclusions:
- Inflammatory factor profiles significantly differ between ITP patients and age-matched controls.
- Biomarkers such as PLR, PMR, SII, NLR, and dNLR demonstrate potential diagnostic value in ITP, particularly in refractory cases.
- Larger-scale research is warranted to confirm the validity and clinical utility of these inflammatory biomarkers in ITP management.

