Multi-omics analysis reveals the interplay between intratumoral bacteria and glioma.

IF 5 2区 生物学 Q1 MICROBIOLOGY mSystems Pub Date : 2025-01-21 Epub Date: 2024-12-11 DOI:10.1128/msystems.00457-24
Ting Li, Zhanyi Zhao, Meichang Peng, Lu Zhang, Cheng Wang, Feiyang Luo, Meiqin Zeng, Kaijian Sun, Zhencheng Fang, Yunhao Luo, Yugu Xie, Cui Lv, Jiaxuan Wang, Jian-Dong Huang, Hongwei Zhou, Haitao Sun
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Abstract

Emerging evidence highlights the potential impact of intratumoral microbiota on cancer. However, the microbial composition and function in glioma remains elusive. Consequently, our study aimed to investigate the microbial community composition in glioma tissues and elucidate its role in glioma development. We parallelly performed microbial profiling, transcriptome sequencing, and metabolomics detection on tumor and adjacent normal brain tissues obtained from 50 glioma patients. We employed immunohistochemistry, multicolor immunofluorescence, and fluorescence in situ hybridization (FISH) staining to observe the presence and location of bacteria. Furthermore, an animal model was employed to validate the impact of key bacteria on glioma development. Six genera were found to be significantly enriched in glioma tissues compared to adjacent normal brain tissues, including Fusobacterium, Longibaculum, Intestinimonas, Pasteurella, Limosilactobacillus, and Arthrobacter. Both bacterial RNA and lipopolysaccharides (LPS) were observed in glioma tissues. Integrated microbiomics, transcriptomics, and metabolomics revealed that genes associated with intratumoral microbes were enriched in multiple synapse-associated pathways and that metabolites associated with intratumoral microbes were (R)-N-methylsalsolinol, N-acetylaspartylglutamic acid, and N-acetyl-l-aspartic acid. Further mediation analysis suggested that the intratumoral microbiome may affect the expression of neuron-related genes through bacteria-associated metabolites. In addition, both in vivo and in vitro models of glioma show that Fusobacterium nucleatum promotes glioma proliferation and upregulates CCL2, CXCL1, and CXCL2 levels. Our findings shed light on the intricate interplay between intratumoral bacteria and glioma.

Importance: Our study adopted a multi-omics approach to unravel the impact of intratumoral microbes on neuron-related gene expression through bacteria-associated metabolites. Importantly, we found bacterial RNA and LPS signals within glioma tissues, which were traditionally considered sterile. We identified key microbiota within glioma tissues, including Fusobacterium nucleatum (Fn). Through in vivo and in vitro experiments, we identified the crucial role of Fn in promoting glioma progression, suggesting that Fn could be a potential diagnostic and therapeutic target for glioma patients. These findings offer valuable insights into the intricate interplay between intratumoral bacteria and glioma, offering novel inspiration to the realm of glioma biology.

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多组学分析揭示了瘤内细菌与胶质瘤之间的相互作用。
新出现的证据强调了肿瘤内微生物群对癌症的潜在影响。然而,神经胶质瘤中微生物的组成和功能尚不清楚。因此,我们的研究旨在研究胶质瘤组织中的微生物群落组成,并阐明其在胶质瘤发展中的作用。我们同时对50例胶质瘤患者的肿瘤和邻近正常脑组织进行了微生物谱分析、转录组测序和代谢组学检测。我们采用免疫组织化学、多色免疫荧光和荧光原位杂交(FISH)染色观察细菌的存在和位置。此外,采用动物模型验证关键细菌对胶质瘤发育的影响。与邻近的正常脑组织相比,在胶质瘤组织中发现了6个属的显著富集,包括梭杆菌、长杆菌、无肠单胞菌、巴氏杆菌、乳酸杆菌和节杆菌。在胶质瘤组织中观察到细菌RNA和脂多糖(LPS)。综合微生物组学、转录组学和代谢组学发现,与肿瘤内微生物相关的基因在多种突触相关通路中富集,与肿瘤内微生物相关的代谢物是(R)- n -甲基沙索林醇、n -乙酰天冬氨酸和n -乙酰天冬氨酸。进一步的中介分析表明,肿瘤内微生物组可能通过细菌相关代谢物影响神经元相关基因的表达。此外,胶质瘤的体内和体外模型均显示,核梭杆菌促进胶质瘤增殖,上调CCL2、CXCL1和CXCL2水平。我们的发现揭示了肿瘤内细菌和胶质瘤之间复杂的相互作用。重要性:我们的研究采用多组学方法,通过细菌相关代谢物揭示肿瘤内微生物对神经元相关基因表达的影响。重要的是,我们在胶质瘤组织中发现了细菌RNA和LPS信号,而胶质瘤组织通常被认为是无菌的。我们确定了胶质瘤组织中的关键微生物群,包括核梭杆菌(Fn)。通过体内和体外实验,我们发现Fn在促进胶质瘤进展中的关键作用,提示Fn可能是胶质瘤患者潜在的诊断和治疗靶点。这些发现为瘤内细菌和胶质瘤之间复杂的相互作用提供了有价值的见解,为胶质瘤生物学领域提供了新的灵感。
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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
期刊最新文献
Timing matters in macrophage/CD4+ T cell interactions: an agent-based model comparing Mycobacterium tuberculosis host-pathogen interactions between latently infected and naïve individuals. Industrialization drives the gut microbiome and resistome of the Chinese populations. Correction for Taylor et al., "Depression in Individuals Coinfected with HIV and HCV Is Associated with Systematic Differences in the Gut Microbiome and Metabolome". Discovery of viruses and bacteria associated with swine respiratory disease on farms at a nationwide scale in China using metatranscriptomic and metagenomic sequencing. Exploration of the genetic landscape of bacterial dsDNA viruses reveals an ANI gap amid extensive mosaicism.
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