ABSTRACT
Objective To investigate the correlation of peripheral blood lymphocyte, T-cell, Th-cell, and Ts-cell counts with the development of checkpoint-inhibitor-related pneumonitis in NSCLC. Methods The clinical data of 85 patients with NSCLC treated with immune checkpoint inhibitors (ICIs) were retrospectively analyzed.Paired t-test was used to analyze lymphocyte changes.ROC curves were utilized to analyze predictive performance.The Spearman correlation coefficient test was conducted to analyze the linear relationship between lymphocyte changes and CIP grade. Results A statistically significant decrease in lymphocyte, T-cell, Th-cell, and Ts-cell counts from the baseline was observed in patients at the onset of CIP (P < 0.05), whereas no such change was observed in the control group.ROC curve analysis revealed AUCs of 0.867, 0.843, 0.865, and 0.843 for lymphocyte, T-cell, Th-cell, and Ts-cell counts, respectively.A linear relationship was found between the percentage decrease in lymphocyte, T-cell, and Ts-cell counts from the baseline and the severity of CIP (P < 0.05). Conclusion Decreased lymphocyte, T-cell, Th-cell, and Ts-cell counts have a predictive value for the development of CIP, and the lymphocyte count change has the greatest predictive value.The percentage decrease in lymphocyte, T-cell, and Ts-cell counts from the baseline is correlated with the severity of CIP.
ABSTRACT
OBJECTIVE： To predict the anti-inflammatory active components and mechanism of couplet medicine of Notopterygium incisum-Angelica pubescens. METHODS： According to the principle of oral bioavailability≥30％ and drug- likeness≥0.18， active components of N. incisum and A. pubescens were screened； TCMSP was used to predict and screen the potential target of them. Using “Anti-inflammatory” as keyword， inflammatory related target genes were retrieved from human gene database Genecards. Common target was screened by mapping the target genes of active ingredients from couplet medicine of N. incisum-A. pubescens. The active ingredient-target network was established by using Cytoscape 3.5.1 software. The screened targets were used to construct the target protein interaction （PPI） network on the STRING V 10.5 platform. Its anti-inflammatory mechanism was studied by KEGG signaling pathway and GO biological enrichment analysis. RESULTS： Totally 15 active components such as coumarin， beta-sitosterol， ammidin， nodakenin were selected from couplet medicine of N. incisum-A. pubescens. Acting on 49 targets such as transcription factor AP-1， PI3-kinase subunit gamma， estrogen receptor， they mainly involved 19 signaling pathways such as hepatitis B and cell apoptosis， and were involved in 47 biological processes such as regulating inflammatory response and prostaglandin biosynthesis. CONCLUSIONS： The anti-inflammatory mechanism of active components of couplet medicine of N. incisum-A. pubescens on multi-target， multi-channel and multi-biological processes is predicted， and it points out the direction for further anti-inflammatory mechanism study.