微生物组-代谢组在胰腺癌进展中的相互作用:来自多组学分析的见解

IF 33.9 1区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Dong Luo, Qizhen Chen, Yixiong Li, Jianbo Yang, Yongguang Tao, Liandong Ji, Xuejun Gong
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引用次数: 0

摘要

最近的研究表明,肿瘤内微生物组和改变的代谢网络在胰腺癌(PC)的进展中起着至关重要的作用。然而,在PC中,微生物群落和肿瘤代谢之间的确切相互作用仍然知之甚少。本研究旨在探讨肿瘤内微生物组、代谢景观及其相互作用对PC发育的影响。对47例配对胰腺癌及其邻近正常组织进行16S rDNA测序和非靶向代谢组学分析,分析其瘤内微生物组和代谢景观。利用生物信息学工具进行差异微生物组丰度分析和途径富集。进行相关性分析以确定关键的微生物群-代谢物相互作用。16S rDNA测序结果显示,PC肿瘤内微生物组的丰度和多样性(α-多样性和β-多样性)存在显著差异。胰腺癌的优势菌种为假单胞菌。富集分析表明,氨基酸代谢途径,包括精氨酸和脯氨酸代谢,精氨酸生物合成,在PC中显著富集。非靶向代谢组学鉴定出298种代谢物在PC中显著改变(fold change bbb1.5, p值< 0.05)。其中包括氨基酸代谢物,如赖氨酸、前亮氨酸、精氨酸、赖氨酸-缬氨酸、his -赖氨酸等。功能富集分析强调了几种在胰腺癌中发挥重要作用的代谢途径,包括甘氨酸、丝氨酸和苏氨酸代谢、氨基酸生物合成、代谢途径以及半胱氨酸和蛋氨酸代谢。微生物组与代谢数据的相关性分析显示,假单胞菌与α -酮异戊酸、16-羟基十六烷酸、肉豆油酸、壬烷酸等代谢物存在显著相关性(Spearman相关系数r, 0.5≤|r, |≤1,p值< 0.05)。这项研究提示了胰腺癌中微生物组与代谢之间的关系。我们观察到假单胞菌有助于改变氨基酸代谢,但这种相互作用是否是因果关系及其机制尚不清楚。在考虑以微生物组为目标的代谢干预作为可行的治疗策略之前,需要进一步的实验验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microbiome-metabolome interplay in pancreatic cancer progression: insights from multi-omics analysis
Recent studies suggest that intratumoral microbiome and altered metabolic networks play crucial roles in pancreatic cancer (PC) progression. However, the precise interplay between microbial communities and tumor metabolism in PC remains poorly understood. This study aims to investigate the impact of the intratumoral microbiome, the metabolic landscape, and their interactions on PC development. 16S rDNA sequencing and Untargeted metabolomic profiling were performed on 47 paired pancreatic cancer and adjacent normal tissues to analyze their intratumoral microbiome and metabolic landscapes. Bioinformatics tools were used to conduct differential microbiome abundance analysis and pathway enrichment. A correlation analysis was performed to identify key microbiota-metabolite interactions. 16S rDNA sequencing revealed significant differences in the abundance and diversity (α-diversity and β-diversity) of the intratumoral microbiome in PC. The predominant species in pancreatic cancer were Pseudomonas. Enrichment analysis showed that amino acid metabolic pathways, including Arginine and Proline Metabolism, Arginine Biosynthesis, were significantly enriched in PC. Untargeted metabolomics identified 298 metabolites that were significantly altered in PC (fold change > 1.5, P-value < 0.05). These included amino acid metabolites such as Lys-Leu, Pro-Leu, Arg-Leu, Lys-Val, His-Lys, and others. Functional enrichment analysis highlighted several metabolic pathways that play important roles in pancreatic cancer, including Glycine, Serine, and Threonine Metabolism, Amino Acid Biosynthesis, Metabolic Pathways and Cysteine and Methionine Metabolism. Correlation analysis between microbiome and metabolic data revealed significant associations between Pseudomonas and several metabolites, including Alpha-ketoisovaleric acid, 16-hydroxyhexadecanoic acid, Myristic acid, Nonanoic acid (the Spearman correlation coefficient r, 0.5 ≤|r|≤ 1 and P-value < 0.05). This study suggests a relationship between the microbiome and metabolism in pancreatic cancer. We observed that Pseudomonas contributes to altered amino acid metabolism, but whether this interaction is causal and the mechanisms underlying it remain unclear. Further experimental validation is required before considering microbiome-targeted metabolic interventions as viable therapeutic strategies.
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来源期刊
Molecular Cancer
Molecular Cancer 医学-生化与分子生物学
CiteScore
54.90
自引率
2.70%
发文量
224
审稿时长
2 months
期刊介绍: Molecular Cancer is a platform that encourages the exchange of ideas and discoveries in the field of cancer research, particularly focusing on the molecular aspects. Our goal is to facilitate discussions and provide insights into various areas of cancer and related biomedical science. We welcome articles from basic, translational, and clinical research that contribute to the advancement of understanding, prevention, diagnosis, and treatment of cancer. The scope of topics covered in Molecular Cancer is diverse and inclusive. These include, but are not limited to, cell and tumor biology, angiogenesis, utilizing animal models, understanding metastasis, exploring cancer antigens and the immune response, investigating cellular signaling and molecular biology, examining epidemiology, genetic and molecular profiling of cancer, identifying molecular targets, studying cancer stem cells, exploring DNA damage and repair mechanisms, analyzing cell cycle regulation, investigating apoptosis, exploring molecular virology, and evaluating vaccine and antibody-based cancer therapies. Molecular Cancer serves as an important platform for sharing exciting discoveries in cancer-related research. It offers an unparalleled opportunity to communicate information to both specialists and the general public. The online presence of Molecular Cancer enables immediate publication of accepted articles and facilitates the presentation of large datasets and supplementary information. This ensures that new research is efficiently and rapidly disseminated to the scientific community.
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