Akkermansia muciniphila outer membrane protein regulates recruitment of CD8+ T cells in lung adenocarcinoma and through JAK–STAT signalling pathway

IF 5.7 2区 生物学 Microbial Biotechnology Pub Date : 2024-07-17 DOI:10.1111/1751-7915.14522
Yufen Xu, Xiaoli Tan, Qi Yang, Zhixian Fang, Wenyu Chen
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Abstract

As a Gram-negative anaerobic bacterium, Akkermansia muciniphila (AKK) participates in the immune response in many cancers. Our study focused on the factors and molecular mechanisms of AKK affecting immune escape in lung adenocarcinoma (LUAD). We cultured AKK bacteria, prepared AKK outer membrane protein Amuc_1100 and constructed a subcutaneous graft tumour mouse model. A549, NCI-H1395 cells and mice were respectively treated with inactivated AKK, Amuc_1100, Ruxolitinib (JAK inhibitor) and RO8191 (JAK activator). CD8+ T cells that penetrated the membrane were counted in the Transwell assay. The toxicity of CD8+ T cells was evaluated by lactate dehydrogenase assay. Western blot was applied to determine JAK/STAT-related protein and PD-L1 expression, whilst CCL5, granzyme B and INF-γ expression were assessed through enzyme-linked immunosorbent assay (ELISA). The proportion of tumour-infiltrating CD8+ T cells and the levels of granzyme B and INF-γ were determined by flow cytometry. AKK markedly accelerated A549 and NCI-H1395 recruiting CD8+ T cells and enhanced CD8+ T cell toxicity. Amuc_1100 purified from AKK exerted the same promoting effects. Besides, Amuc_1100 dramatically suppressed PD-L1, p-STAT and p-JAK expression and enhanced CCL5, granzyme B and INF-γ expression. Treatment with Ruxolitinib accelerated A549 and NCI-H1395 cells recruiting CD8+ T cells, enhanced CD8+ T cell toxicity, CCL5, granzyme B and INF-γ expression, and inhibited PD-L1 expression. In contrast, the RO8191 treatment slowed down the changes induced by Amuc_1100. Animal experiments showed that Amuc_1100 was found to increase the number of tumour-infiltrating CD8+ T cells, increase the levels of granzyme B and INF-γ and significantly inhibit the expression of PD-L1, p-STAT and p-JAK, which exerted an antitumour effect in vivo. In conclusion, through inhibiting the JAK/STAT signalling pathway, AKK outer membrane protein facilitated the recruitment of CD8+ T cells in LUAD and suppressed the immune escape of cells.

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Akkermansia muciniphila 外膜蛋白通过 JAK-STAT 信号通路调节肺腺癌中 CD8+ T 细胞的招募。
作为一种革兰氏阴性厌氧菌,Akkermansia muciniphila(AKK)参与了许多癌症的免疫反应。我们的研究重点是 AKK 影响肺腺癌(LUAD)免疫逃逸的因素和分子机制。我们培养了 AKK 细菌,制备了 AKK 外膜蛋白 Amuc_1100,并构建了皮下移植肿瘤小鼠模型。分别用灭活的 AKK、Amuc_1100、Ruxolitinib(JAK 抑制剂)和 RO8191(JAK 激活剂)处理 A549、NCI-H1395 细胞和小鼠。在 Transwell 试验中对穿透膜的 CD8+ T 细胞进行计数。通过乳酸脱氢酶试验评估 CD8+ T 细胞的毒性。用 Western 印迹法测定 JAK/STAT 相关蛋白和 PD-L1 的表达,用酶联免疫吸附法(ELISA)评估 CCL5、颗粒酶 B 和 INF-γ 的表达。肿瘤浸润 CD8+ T 细胞的比例以及颗粒酶 B 和 INF-γ 的水平是通过流式细胞术测定的。AKK 明显加快了 A549 和 NCI-H1395 招募 CD8+ T 细胞的速度,并增强了 CD8+ T 细胞的毒性。从 AKK 中纯化出的 Amuc_1100 也具有同样的促进作用。此外,Amuc_1100还能显著抑制PD-L1、p-STAT和p-JAK的表达,增强CCL5、颗粒酶B和INF-γ的表达。用 Ruxolitinib 治疗可加速 A549 和 NCI-H1395 细胞招募 CD8+ T 细胞,增强 CD8+ T 细胞毒性、CCL5、颗粒酶 B 和 INF-γ 的表达,并抑制 PD-L1 的表达。与此相反,RO8191 可减缓 Amuc_1100 诱导的变化。动物实验表明,Amuc_1100 能增加肿瘤浸润 CD8+ T 细胞的数量,提高颗粒酶 B 和 INF-γ 的水平,显著抑制 PD-L1、p-STAT 和 p-JAK 的表达,从而在体内发挥抗肿瘤作用。总之,AKK外膜蛋白通过抑制JAK/STAT信号通路,促进了LUAD中CD8+T细胞的募集,抑制了细胞的免疫逃逸。
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来源期刊
Microbial Biotechnology
Microbial Biotechnology Immunology and Microbiology-Applied Microbiology and Biotechnology
CiteScore
11.20
自引率
3.50%
发文量
162
审稿时长
1 months
期刊介绍: Microbial Biotechnology publishes papers of original research reporting significant advances in any aspect of microbial applications, including, but not limited to biotechnologies related to: Green chemistry; Primary metabolites; Food, beverages and supplements; Secondary metabolites and natural products; Pharmaceuticals; Diagnostics; Agriculture; Bioenergy; Biomining, including oil recovery and processing; Bioremediation; Biopolymers, biomaterials; Bionanotechnology; Biosurfactants and bioemulsifiers; Compatible solutes and bioprotectants; Biosensors, monitoring systems, quantitative microbial risk assessment; Technology development; Protein engineering; Functional genomics; Metabolic engineering; Metabolic design; Systems analysis, modelling; Process engineering; Biologically-based analytical methods; Microbially-based strategies in public health; Microbially-based strategies to influence global processes
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