Department of Laboratory Medicine, The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Department of Laboratory Medicine, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Front Cell Infect Microbiol. 2021 Aug 30;11:725284. doi: 10.3389/fcimb.2021.725284. eCollection 2021.
Lung cancer (LC) is one of the most aggressive, prevalent and fatal malignancies. Gut microbes and their associated metabolites are thought to cause and modulate LC development, albeit influenced by the host genetic make-up and environment. Herein, we identified and classified gut microbiota and serum metabolites associated with LC.
Stool samples were collected from 41 LC patients and 40 healthy volunteers. The gut microbiota was analyzed using 16S rRNA gene sequencing. Serum samples were collected from the same LC patients (n=30) and healthy volunteers (n=30) and serum metabolites were analyzed using liquid chromatography-mass spectrometry (LC-MS). Microbiome and metabolome data were analyzed separately and integrated for combined analysis using various bioinformatics methods.
Serum metabolomics uncovered 870 metabolites regulated in 76 metabolic pathways in both groups. Microbial diversity analyses identified 15967 operational taxonomic units (OTUs) in groups. Of these, the abundance of 232 OTUs was significantly different between HC and LC groups. Also, serum levels of glycerophospholipids (LysoPE 18:3, LysoPC 14:0, LysoPC 18:3), Imidazopyrimidines (Hypoxanthine), AcylGlcADG 66:18; AcylGlcADG (22:6/22:6/22:6) and Acylcarnitine 11:0 were substantially different between HC and LC groups. Combined analysis correlated LC-associated microbes with metabolites, such as Erysipelotrichaceae_UCG_003, Clostridium and Synergistes with glycerophospholipids.
There is an intricate relationship between gut microbiome and levels of several metabolites such as glycerophospholipids and imidazopyrimidines. Microbial-associated metabolites are potential diagnostic biomarkers and therapeutic targets for LC.
肺癌(LC)是最具侵袭性、最常见和最致命的恶性肿瘤之一。肠道微生物及其相关代谢产物被认为会导致和调节 LC 的发展,尽管它们受到宿主遗传构成和环境的影响。在此,我们鉴定和分类了与 LC 相关的肠道微生物群和血清代谢物。
收集了 41 名 LC 患者和 40 名健康志愿者的粪便样本。使用 16S rRNA 基因测序分析肠道微生物群。从相同的 LC 患者(n=30)和健康志愿者(n=30)中采集血清样本,并使用液相色谱-质谱(LC-MS)分析血清代谢物。分别分析微生物组和代谢组数据,并使用各种生物信息学方法进行整合分析。
血清代谢组学揭示了两组中 76 条代谢途径中 870 种受调控的代谢物。微生物多样性分析在两组中共鉴定出 15967 个操作分类单元(OTUs)。其中,232 个 OTUs 的丰度在 HC 和 LC 组之间存在显著差异。此外,血清中甘油磷脂(LysoPE 18:3、LysoPC 14:0、LysoPC 18:3)、咪唑并嘧啶(次黄嘌呤)、酰基 GlcADG 66:18;酰基 GlcADG(22:6/22:6/22:6)和酰基肉碱 11:0 的水平在 HC 和 LC 组之间存在显著差异。联合分析将 LC 相关微生物与代谢物相关联,例如 Erysipelotrichaceae_UCG_003、梭菌属和协同菌与甘油磷脂有关。
肠道微生物群和几种代谢物(如甘油磷脂和咪唑并嘧啶)之间存在着复杂的关系。与微生物相关的代谢物是 LC 的潜在诊断生物标志物和治疗靶点。