我们能否将淋巴细胞和单核细胞上的 PD-1 和 PD-L1 表达作为急性胆源性胰腺炎预后的预测指标?

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-01-08 DOI:10.1016/j.imlet.2024.106836
Ufuk Oguz Idiz , Basak Aru , Cemal Kaya , Kivanc Derya Peker , Cihad Tatar , Mert Guler , Abdurrahman Tunay , Gulderen Yanikkaya Demirel , Ali Osman Gurol
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引用次数: 0

摘要

目的 本研究旨在评估免疫分型和血清细胞因子在预测急性胆汁性胰腺炎(ABP)临床进展方面的意义。材料和方法 在 ABP 患者确诊时测量其细胞因子水平、T 辅助细胞、细胞毒性 T 细胞、自然杀伤细胞(NK)、单核细胞、HLA-DR 和 PD-1 以及 PDL-1 免疫检查点,并与健康志愿者的结果进行比较。研究还比较了健康志愿者与按胰腺炎严重程度分类的 ABP 亚组之间的白细胞计数、血细胞比容、免疫分型结果、细胞因子状态以及 PD-1 和 PDL-1 表达。在血细胞比容、白细胞计数、单核细胞总数、淋巴细胞、CD3+ T 细胞总数、CD4+ Th 细胞、CD4+ 和 CD8+ T 淋巴细胞上的 PD-1 表达、CD14+ 单核细胞上的 HLA-DR 表达、NK 细胞、CD14+ 单核细胞上的 PD-L1 表达、经典单核细胞和中间单核细胞以及 IL-6、IL-8、IL-10、IL-18 和 IL-33 细胞因子水平方面,观察到不同组间存在显著差异。与淋巴细胞计数、PD-1+CD4+细胞、PD-L1+CD14+细胞呈中度相关,与HLA-DR+CD14+细胞呈高度相关。血细胞比容、CD3+ 总 T 细胞、NK 细胞、CD4+PD-1+ T 细胞和 CD8+PD-1+ T 细胞与 ABP 的严重程度呈独立关联。结论血细胞比容、淋巴细胞计数、CD14+HLA-DR+ 细胞、CD14+PD-L1+ 细胞、CD4+PD-1+ T 细胞、经典单核细胞和中间单核细胞是与 ABP 严重程度关系最密切的参数,这些参数可用于预测 ABP 的严重程度。
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Could we use PD-1 and PD-L1 expression on lymphocytes and monocytes as predictive markers for prognosis of acute biliary pancreatitis?

Purpose

This study aimed to assess the significance of immunophenotyping and serum cytokines in predicting the clinical progression of acute biliary pancreatitis (ABP).

Materials and methods

Cytokine levels, T-helper, cytotoxic T, natural killer (NK) cells, monocytes, HLA-DR, and PD-1, as well as PDL-1 immune checkpoints, were measured in ABP patients at the time of diagnosis and compared with results from healthy volunteers. The study also compared leukocyte counts, hematocrit, immunophenotyping results, cytokine statuses, and PD-1, PDL-1 expression between healthy volunteers and ABP subgroups categorized by pancreatitis severity.

Results

The study included 65 ABP patients and 20 healthy volunteers. Significant differences were observed between groups in hematocrit, leukocyte counts, total monocytes, lymphocytes, CD3+ total T cells, CD4+ Th cells, PD-1 expression on CD4+ and CD8+ T lymphocytes, HLA-DR expression on CD14+ monocytes, NK cells, PD-L1 expression on CD14+ monocytes, classical and intermediate monocytes, as well as levels of IL-6, IL-8, IL-10, IL-18, and IL-33 cytokines. Moderate correlations were found with lymphocyte counts, PD-1+CD4+ cells, PD-L1+CD14+ cells, and strong correlations with HLA-DR+CD14+ cells. Hematocrit, CD3+ total T cells, NK cells, CD4+PD-1 + T cells, and CD8+PD-1 + T cells showed independent associations with the severity of ABP. Lymphocyte counts, CD14+HLA-DR+ cells, CD14+PD-L1+ cells, CD4+PD-1 + T cells, classical, and intermediate monocytes exhibited the highest Area Under the Curve rates in determining organ failure.

Conclusions

Hematocrit, lymphocyte counts, CD14+HLA-DR+ cells, CD14+PD-L1+ cells, and intermediate monocytes emerged as parameters most closely associated with the severity and these parameters could be useful in predicting the severity of ABP.

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