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.
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.