目的:探究卵巢癌(ovarian cancer,OV)浸润性CD4^(+)调节性T细胞(regulatory T cell,Treg)的脂质摄取与积累情况,及其与CD4^(+)Treg中程序性细胞死亡蛋白1(programmed cell death protein 1,PD-1)和细胞毒性T淋巴细胞相关蛋白-4(cytotoxi...目的:探究卵巢癌(ovarian cancer,OV)浸润性CD4^(+)调节性T细胞(regulatory T cell,Treg)的脂质摄取与积累情况,及其与CD4^(+)Treg中程序性细胞死亡蛋白1(programmed cell death protein 1,PD-1)和细胞毒性T淋巴细胞相关蛋白-4(cytotoxic Tlymphocyte associated protein 4,CTLA-4)表达的相关性。方法:采用亲脂性荧光染料BODIPY^(TM)493/503和荧光脂肪酸探针BODIPY^(TM)500/510 C1 C12分别检测OV组织中的或与不同OV细胞系(ES-2、SKOV3、CAOV3)上清液共培养的人源CD4^(+)Treg的细胞内脂质含量和脂质摄取能力;使用脂肪酸氧化抑制剂(Etomoxir)、脂肪酸合成抑制剂(C75)和脂肪酸摄取抑制剂磺基-N-琥珀酰亚胺油酸酯(sulfo-N-succinimidyl oleate,SSO)干预脂质代谢;通过流式细胞术分析CD4^(+)Treg上免疫抑制分子PD-1和CTLA-4的表达。结果:OV组织CD4^(+)Treg相比传统CD4^(+)T细胞表现出更高的脂质含量和脂质摄取能力(P均<0.01)。在体外实验中,与基础培养基相比,OV细胞培养上清可显著提升CD4^(+)Treg的胞内脂质含量与脂质摄取能力(P均<0.05),其中CAOV3来源的上清作用最为显著。此外,CAOV3上清液还能提升CD4^(+)Treg中PD-1与CTLA-4的表达(P<0.05)。CD4^(+)Treg的脂质积累随CAOV3上清浓度增加呈剂量依赖性上升(P<0.05),且其对胞外荧光脂肪酸类似物的摄取能力具有浓度依赖性(P<0.05)。脂肪酸摄取抑制剂SSO可有效逆转CAOV3上清液诱导的CD4^(+)Treg脂质积累及PD-1、CTLA-4的高表达(P<0.05);而脂肪酸氧化抑制剂Etomoxir与合成抑制剂C75则无显著影响。结论:OV微环境通过促进CD4^(+)Treg的脂质摄取,提高细胞内脂质含量,促进其免疫抑制分子PD-1和CTLA-4表达。靶向脂肪酸摄取途径可能是逆转OV中Treg介导的免疫抑制的潜在策略。展开更多
Anti-programmed cell death protein 1(PD-1)or its ligand(PD-L1)are immune checkpoint inhibitors(ICIs)that have revolutionized cancer therapy.However,the efficacy of anti-PD-1 and anti-PD-L1 is limited by resistance and...Anti-programmed cell death protein 1(PD-1)or its ligand(PD-L1)are immune checkpoint inhibitors(ICIs)that have revolutionized cancer therapy.However,the efficacy of anti-PD-1 and anti-PD-L1 is limited by resistance and inter-individual variability.In recent years increasing evidence has highlighted the pivotal role of the gut microbiota in modulating the response to PD-1/PD-L1 immunotherapy.Extensive preclinical studies have demonstrated that commensal microbes can increase the efficacy of PD-1/PD-L1 blockade through multiple mechanisms,including the production of metabolites,such as short-chain fatty acids(SCFAs),tryptophan derivatives,and extracellular polysaccharides that remodel the tumor microenvironment,as well as the activation of immune pathways involving dendritic cells,CD8+T cells,and M1 macrophages to increase antitumor immunity.Moreover,clinical studies have shown that fecal microbiota transplantation(FMT)and targeted probiotic interventions show promise for improving the response to PD-1/PD-L1 therapy,while reducing the risk of immune-related adverse events(irAEs).This review systematically explores the multifaceted regulatory roles of the commensal microbiota in PD-1/PD-L1 therapy and examines the preclinical prospects of microbiota-based personalized immunotherapeutic strategies.The integration of multiomics technologies,synthetic biology,and precise microbiota interventions may further optimize PD-1/PD-L1 immunotherapy and offer novel insights into antitumor immune modulation.展开更多
本文通过建立肿瘤免疫微环境多尺度数学模型,结合小鼠实验数据,探讨了前列腺素E2受体4亚型(Prostaglandin E2 Receptor 4,EP4)拮抗剂MF-766和抗程序性细胞死亡蛋白1(Anti-programmed Cell Death Protein 1,Anti-PD-1)联合治疗对肿瘤免...本文通过建立肿瘤免疫微环境多尺度数学模型,结合小鼠实验数据,探讨了前列腺素E2受体4亚型(Prostaglandin E2 Receptor 4,EP4)拮抗剂MF-766和抗程序性细胞死亡蛋白1(Anti-programmed Cell Death Protein 1,Anti-PD-1)联合治疗对肿瘤免疫微环境及肿瘤生长的调控机制。模型定量分析了免疫抑制细胞、效应性免疫细胞以及细胞因子的动态变化,揭示了联合治疗在降低髓源性抑制细胞(Myeloid-derived Suppressor Cells,MDSCs)浓度和增强效应性免疫细胞功能中的协同作用。实验验证表明,模型能够准确描述肿瘤体积的动态变化及药物的免疫调节效应,并揭示了药物剂量与用药间隔对治疗效果的非线性影响。基于此模型的模拟结果,本文不仅加深了对肿瘤转移机制的理解,还为优化免疫治疗的剂量和用药策略提供了理论依据,为精准治疗的设计与推进奠定了坚实基础。展开更多
文摘目的:探究卵巢癌(ovarian cancer,OV)浸润性CD4^(+)调节性T细胞(regulatory T cell,Treg)的脂质摄取与积累情况,及其与CD4^(+)Treg中程序性细胞死亡蛋白1(programmed cell death protein 1,PD-1)和细胞毒性T淋巴细胞相关蛋白-4(cytotoxic Tlymphocyte associated protein 4,CTLA-4)表达的相关性。方法:采用亲脂性荧光染料BODIPY^(TM)493/503和荧光脂肪酸探针BODIPY^(TM)500/510 C1 C12分别检测OV组织中的或与不同OV细胞系(ES-2、SKOV3、CAOV3)上清液共培养的人源CD4^(+)Treg的细胞内脂质含量和脂质摄取能力;使用脂肪酸氧化抑制剂(Etomoxir)、脂肪酸合成抑制剂(C75)和脂肪酸摄取抑制剂磺基-N-琥珀酰亚胺油酸酯(sulfo-N-succinimidyl oleate,SSO)干预脂质代谢;通过流式细胞术分析CD4^(+)Treg上免疫抑制分子PD-1和CTLA-4的表达。结果:OV组织CD4^(+)Treg相比传统CD4^(+)T细胞表现出更高的脂质含量和脂质摄取能力(P均<0.01)。在体外实验中,与基础培养基相比,OV细胞培养上清可显著提升CD4^(+)Treg的胞内脂质含量与脂质摄取能力(P均<0.05),其中CAOV3来源的上清作用最为显著。此外,CAOV3上清液还能提升CD4^(+)Treg中PD-1与CTLA-4的表达(P<0.05)。CD4^(+)Treg的脂质积累随CAOV3上清浓度增加呈剂量依赖性上升(P<0.05),且其对胞外荧光脂肪酸类似物的摄取能力具有浓度依赖性(P<0.05)。脂肪酸摄取抑制剂SSO可有效逆转CAOV3上清液诱导的CD4^(+)Treg脂质积累及PD-1、CTLA-4的高表达(P<0.05);而脂肪酸氧化抑制剂Etomoxir与合成抑制剂C75则无显著影响。结论:OV微环境通过促进CD4^(+)Treg的脂质摄取,提高细胞内脂质含量,促进其免疫抑制分子PD-1和CTLA-4表达。靶向脂肪酸摄取途径可能是逆转OV中Treg介导的免疫抑制的潜在策略。
基金supported by grants from the National Natural Science Foundation of China(Grant Nos.82222058,82425046,and 82273142).
文摘Anti-programmed cell death protein 1(PD-1)or its ligand(PD-L1)are immune checkpoint inhibitors(ICIs)that have revolutionized cancer therapy.However,the efficacy of anti-PD-1 and anti-PD-L1 is limited by resistance and inter-individual variability.In recent years increasing evidence has highlighted the pivotal role of the gut microbiota in modulating the response to PD-1/PD-L1 immunotherapy.Extensive preclinical studies have demonstrated that commensal microbes can increase the efficacy of PD-1/PD-L1 blockade through multiple mechanisms,including the production of metabolites,such as short-chain fatty acids(SCFAs),tryptophan derivatives,and extracellular polysaccharides that remodel the tumor microenvironment,as well as the activation of immune pathways involving dendritic cells,CD8+T cells,and M1 macrophages to increase antitumor immunity.Moreover,clinical studies have shown that fecal microbiota transplantation(FMT)and targeted probiotic interventions show promise for improving the response to PD-1/PD-L1 therapy,while reducing the risk of immune-related adverse events(irAEs).This review systematically explores the multifaceted regulatory roles of the commensal microbiota in PD-1/PD-L1 therapy and examines the preclinical prospects of microbiota-based personalized immunotherapeutic strategies.The integration of multiomics technologies,synthetic biology,and precise microbiota interventions may further optimize PD-1/PD-L1 immunotherapy and offer novel insights into antitumor immune modulation.
文摘本文通过建立肿瘤免疫微环境多尺度数学模型,结合小鼠实验数据,探讨了前列腺素E2受体4亚型(Prostaglandin E2 Receptor 4,EP4)拮抗剂MF-766和抗程序性细胞死亡蛋白1(Anti-programmed Cell Death Protein 1,Anti-PD-1)联合治疗对肿瘤免疫微环境及肿瘤生长的调控机制。模型定量分析了免疫抑制细胞、效应性免疫细胞以及细胞因子的动态变化,揭示了联合治疗在降低髓源性抑制细胞(Myeloid-derived Suppressor Cells,MDSCs)浓度和增强效应性免疫细胞功能中的协同作用。实验验证表明,模型能够准确描述肿瘤体积的动态变化及药物的免疫调节效应,并揭示了药物剂量与用药间隔对治疗效果的非线性影响。基于此模型的模拟结果,本文不仅加深了对肿瘤转移机制的理解,还为优化免疫治疗的剂量和用药策略提供了理论依据,为精准治疗的设计与推进奠定了坚实基础。
