作者: Shuo Xu , Chunjie Xiang , Juan Wu , Yuhao Teng , Zhenfeng Wu
DOI: 10.1007/S10620-020-06637-0
关键词:
摘要: Gastric cancer (GC) is one of the most common cancers, and noninvasive diagnostic methods for monitoring GC are still lacking. Growing evidence shows that human microbiota has potential value identifying digestive diseases. The present study aimed to explore association tongue coating with serum metabolic features inflammatory cytokines in patients seek a potential, biomarker diagnosing GC. was profiled by 16S rRNA 18S genes sequencing technology original population 181 112 healthy controls (HCs). Propensity score matching method used eliminate confounders including age, gender, six lifestyle factors 66 HCs generated. Serum metabolomics profiling performed ultra-performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS) population. Random forest model constructed diagnosis Linear discriminant analysis effect size (LEfSe) revealed differential bacterial taxa between were similar population, while fungal dramatically changed before after PSM. By random analysis, combination genera (Peptostreptococcus, Peptococcus, Porphyromonas, Megamonas, Rothia, Fusobacterium) optimal predictive distinguish from effectively, an area under curve (AUC) 0.85. verified high (AUC = 0.76 0.96). In eighteen specific HCs-enriched (Porphyromonas, Parvimonas, etc.) had negative correlations lysophospholipids metabolites, three them also IL-17α. alteration possible linkage inflammations metabolome, bacteria could be GC, which might independent lifestyle.