Liu Jifang, Ye Zhang, Zhang Yi, Su Wan, Liu Jie, Chen Tianqi, Shi Yanan, Liu Lulu, Lu Jiao, Cai Zian, Zhong Qing, Wang Pei, Pu Jun, Liu Jinghua, Wei Yuchen, Pan Hui, Zhu Huijuan, Deng Kan, Wang Renzhi, Lu Lin, Hu Xiaomin, Yao Yong
Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Pituitary Disease Innovative Diagnosis and Treatment Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Front Microbiol. 2025 Apr 1;16:1541683. doi: 10.3389/fmicb.2025.1541683. eCollection 2025.
The gut microbiome has emerged as a potential factor in cancer pathogenesis, but its role in non-functioning pituitary neuroendocrine tumors (NF-PitNETs) remains unclear. This study aimed to elucidate gut microbiome and metabolomic alterations in NF-PitNETs by comparing microbial diversity, pathogenic bacteria, and serum metabolomic profiles between NF-PitNET patients and healthy controls. The gut microbiome was assessed through 16S rRNA sequencing, while serum metabolomics was analyzed using mass spectrometry. Correlation analyses identified potential links between microbial characteristics and metabolic markers. The results revealed that specific pathogenic bacteria, such as Bacteroides, were significantly enriched in NF-PitNET patients. Multi-omics correlations suggested that altered microbiota might contribute to NF-PitNET pathogenesis by modulating host metabolic pathways. These findings highlight the potential role of gut microbiome dysbiosis and its metabolic effects in NF-PitNET development, offering insights into possible therapeutic and diagnostic targets.
肠道微生物群已成为癌症发病机制中的一个潜在因素,但其在无功能垂体神经内分泌肿瘤(NF-PitNETs)中的作用仍不清楚。本研究旨在通过比较NF-PitNET患者与健康对照者之间的微生物多样性、病原菌和血清代谢组学谱,阐明NF-PitNETs中肠道微生物群和代谢组学的改变。通过16S rRNA测序评估肠道微生物群,同时使用质谱分析血清代谢组学。相关性分析确定了微生物特征与代谢标志物之间的潜在联系。结果显示,特定的病原菌,如拟杆菌,在NF-PitNET患者中显著富集。多组学相关性表明,微生物群的改变可能通过调节宿主代谢途径促进NF-PitNET的发病机制。这些发现突出了肠道微生物群失调及其代谢效应在NF-PitNET发展中的潜在作用,为可能的治疗和诊断靶点提供了见解。
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