Study on the Effect of Antibiotics on the Efficacy of PD-1 Inhibitors and Its Regulatory Mechanism via the Intestinal Bacterial Community.

IF 1.6 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Xuebing Zhou, Liyuan Liu, Xue Wang, Dan Jiang, Xiaoliang Xie, Qi Liang, Fan Gong, Xiaoling Ding
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引用次数: 0

Abstract

This study investigated the impact of antibiotics on the therapeutic efficacy of PD-1 inhibitors and their association with the intestinal microbiota. Using a Hepa1-6 hepatocellular carcinoma mouse model, various antibiotics (vancomycin, colistin, and combination antibiotics) were administered alongside a PD-1 inhibitor. The results indicated that antibiotic treatment significantly altered the intestinal microbiota composition, with vancomycin and the combination antibiotics notably reducing PD-1 inhibitor efficacy. 16S rRNA sequencing revealed that antibiotic-induced selective pressure profoundly impacted both the diversity and abundance of the microbiota. Specifically, the relative abundance of Bacteroidetes and Firmicutes was significantly diminished following vancomycin treatment, correlating with reduced PD-1 inhibitor efficacy. Further analysis of the tumor immune microenvironment revealed no significant changes in the CD8+ T cell ratio, TGF-β, IL-6, IL-17, or PD-1 levels. However, the proportion of CD4+ T cells was markedly lower in the combination antibiotic group, and the expression of pro-inflammatory cytokines IFN-γ and IL-2 was substantially decreased across all antibiotic-treated groups. These findings suggest that alterations in specific intestinal bacterial populations, likely through modulation of pro-inflammatory cytokine levels in the tumor immune microenvironment, compromise immunotherapy effectiveness. This study highlights the critical role of healthy intestinal microbiota in optimizing tumor immunotherapy efficacy and emphasizes the need for careful consideration of antibiotic use in such treatments. Moreover, it provides novel insights into the mechanisms by which antibiotics may interfere with immunotherapy, laying the groundwork for optimizing anti-tumor immunotherapy strategies.

抗生素对PD-1抑制剂疗效的影响及其肠道菌群调控机制的研究
本研究探讨了抗生素对PD-1抑制剂治疗效果的影响及其与肠道菌群的关系。使用Hepa1-6肝细胞癌小鼠模型,与PD-1抑制剂一起施用各种抗生素(万古霉素,粘菌素和联合抗生素)。结果表明,抗生素治疗显著改变了肠道菌群组成,万古霉素和联合抗生素显著降低了PD-1抑制剂的疗效。16S rRNA测序显示,抗生素诱导的选择压力深刻影响了微生物群的多样性和丰度。具体来说,在万古霉素治疗后,拟杆菌门和厚壁菌门的相对丰度显著降低,这与PD-1抑制剂的疗效降低有关。进一步的肿瘤免疫微环境分析显示CD8+ T细胞比例、TGF-β、IL-6、IL-17和PD-1水平无显著变化。然而,在联合抗生素治疗组中,CD4+ T细胞的比例明显降低,促炎细胞因子IFN-γ和IL-2的表达在所有抗生素治疗组中均显著降低。这些发现表明,特定肠道细菌群的改变,可能是通过调节肿瘤免疫微环境中的促炎细胞因子水平,从而影响免疫治疗的效果。本研究强调了健康肠道菌群在优化肿瘤免疫治疗效果中的关键作用,并强调在此类治疗中需要仔细考虑抗生素的使用。此外,它为抗生素可能干扰免疫治疗的机制提供了新的见解,为优化抗肿瘤免疫治疗策略奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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