Niloofar Mashhadi; Leila Kasraian; Hamed Ghoddusi Johari; Ahmad Hosseinzadeh; Nasim Kheshtchin; Mehrnoosh Doroudchi
Abstract
Background: Buerger’s disease, also known as Thromboangiitis Obliterans (TAO), is a progressive, inflammatory vascular disease with unknown etiology.Objective: To address the degree of T cell immunosenescence in this inflammatory disease, the frequency of senescent T cells expressing CD57 and/or ...
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Background: Buerger’s disease, also known as Thromboangiitis Obliterans (TAO), is a progressive, inflammatory vascular disease with unknown etiology.Objective: To address the degree of T cell immunosenescence in this inflammatory disease, the frequency of senescent T cells expressing CD57 and/or CD153 (CD30L) in patients with TAO.Methods: In this study, nine male cigarette smoker patients with TAO, nine male healthy cigarette smokers, and nine male healthy non-smoker blood donors were enrolled. PBMCs were extracted from the blood of all participants and stored in liquid nitrogen before use. The percentages of senescent T cells were detected by flow cytometry. The results were analyzed using non-parametric statistical tests.Results: The frequencies of senescent CD3+CD4+CD57+CD153+ and CD3+CD4+CD57-CD153+ T cells significantly increased in patients compared with the non-smoker controls (p=0.01 and p=0.04, respectively). The frequency of senescent CD3+CD4-CD57-CD153+ T cells was higher in patients compared with the smoker controls (p=0.02). In patients with TAO, CD57+CD153- cells were more frequent in CD3hiCD4- and CD3hiCD4+ T cells compared with the CD3loCD4- and CD3loCD4+ T cells (p=0.008 and p=0.0002, respectively). Conversely, the frequency of CD57-CD153+ T cells was significantly higher in CD3loCD4- T cells compared with the CD3hiCD4- T cells (p=0.004). The percentage of CD3+CD4+CD57+CD153- T cells correlated negatively with smoking level in smoker controls (p=0.02, Spearman r=-0.80).Conclusion: Elevated frequencies of senescent CD4+CD57+CD153+ and CD4+CD57-CD153+ T cells in patients compared with non-smoker and smoker controls suggest the contribution of immunosenescence in TAO.
Bahareh Zand; Samaneh Arab; Nasim Kheshtchin; Abazar Arabameri; Mahboubeh Ashourpour; Davoud Asemani; Ehsan Sharif-Paghaleh; Farshid Noorbakhsh; Jamshid Hadjati
Abstract
Background: Mathematical modeling offers the possibility to select the optimal dose of a drug or vaccine. Considerable evidence show that many bacterial components can activate dendritic cells (DCs). Our previous report showed that multiple doses of DCs matured with Listeria monocytogenes led to tumor ...
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Background: Mathematical modeling offers the possibility to select the optimal dose of a drug or vaccine. Considerable evidence show that many bacterial components can activate dendritic cells (DCs). Our previous report showed that multiple doses of DCs matured with Listeria monocytogenes led to tumor regression whereas multiple doses of CpG-matured DCs affected tumor reversely. Objective: To assess a combined pattern of DC vaccination proposed by a mathematical model for tumor regression. Method: WEHI164 cells were inoculated subcutaneously in the right flank of BALB/c mice. Bone marrow-derived DCs were matured by Listeria monocytogenes and CpG motifs. DCs were injected using specific patterns and doses predicted by mathematical modeling. Effector cell-mediated cytotoxicity, gene expression of T cell-related transcription factors, as well as tumor growth and survival rate, were assessed in different groups. Results: Our study indicated that the proposed mathematical model could simulate the tumor and immune system interaction, and it was verified by decreasing tumor size in the List+CpG group. However, comparing the effect of different treatment modalities on Th1/Treg transcription factor expression or cytotoxic responses revealed no advantage for combined therapy over other treatment modalities. Conclusions: These results suggest that finding new combinations of DC vaccines for the treatment of tumors will be promising in the future. The results of this study support the mathematical modelling for DC vaccine design. However, some parameters in this model must be modified to provide a more optimized therapy approach.
