PDF(Pubmed)
Abstract：
UNASSIGNED: Gut microbiota plays an important role in colorectal cancer (CRC) pathogenesis through microbes and their metabolites, while oral pathogens are the major components of CRC-associated microbes. Multiple studies have identified gut and fecal microbiome-derived biomarkers for precursors lesions of CRC detection. However, few studies have used salivary samples to predict colorectal polyps. Therefore, in order to find new noninvasive colorectal polyp biomarkers, we searched into the differences in fecal and salivary microbiota between patients with colorectal polyps and healthy controls.
UNASSIGNED: In this case-control study, we collected salivary and fecal samples from 33 patients with colorectal polyps (CP) and 22 healthy controls (HC) between May 2021 and November 2022. All samples were sequenced using full-length 16S rRNA sequencing and compared with the Nucleotide Sequence Database. The salivary and fecal microbiota signature of colorectal polyps was established by alpha and beta diversity, Linear discriminant analysis Effect Size (LEfSe) and random forest model analysis. In addition, the possibility of microbiota in identifying colorectal polyps was assessed by Receiver Operating Characteristic Curve (ROC).
UNASSIGNED: In comparison to the HC group, the CP group\'s microbial diversity increased in saliva and decreased in feces (p < 0.05), but there was no significantly difference in microbiota richness (p > 0.05). The principal coordinate analysis revealed significant differences in β-diversity of salivary and fecal microbiota between the CP and HC groups. Moreover, LEfSe analysis at the species level identified Porphyromonas gingivalis, Fusobacterium nucleatum, Leptotrichia wadei, Prevotella intermedia, and Megasphaera micronuciformis as the major contributors to the salivary microbiota, and Ruminococcus gnavus, Bacteroides ovatus, Parabacteroides distasonis, Citrobacter freundii, and Clostridium symbiosum to the fecal microbiota of patients with polyps. Salivary and fecal bacterial biomarkers showed Area Under ROC Curve of 0.8167 and 0.8051, respectively, which determined the potential of diagnostic markers in distinguishing patients with colorectal polyps from controls, and it increased to 0.8217 when salivary and fecal biomarkers were combined.
UNASSIGNED: The composition and diversity of the salivary and fecal microbiota were significantly different in colorectal polyp patients compared to healthy controls, with an increased abundance of harmful bacteria and a decreased abundance of beneficial bacteria. A promising non-invasive tool for the detection of colorectal polyps can be provided by potential biomarkers based on the microbiota of the saliva and feces.
UNASSIGNED: In this case-control study, we collected salivary and fecal samples from 33 patients with colorectal polyps (CP) and 22 healthy controls (HC) between May 2021 and November 2022. All samples were sequenced using full-length 16S rRNA sequencing and compared with the Nucleotide Sequence Database. The salivary and fecal microbiota signature of colorectal polyps was established by alpha and beta diversity, Linear discriminant analysis Effect Size (LEfSe) and random forest model analysis. In addition, the possibility of microbiota in identifying colorectal polyps was assessed by Receiver Operating Characteristic Curve (ROC).
UNASSIGNED: In comparison to the HC group, the CP group\'s microbial diversity increased in saliva and decreased in feces (p < 0.05), but there was no significantly difference in microbiota richness (p > 0.05). The principal coordinate analysis revealed significant differences in β-diversity of salivary and fecal microbiota between the CP and HC groups. Moreover, LEfSe analysis at the species level identified Porphyromonas gingivalis, Fusobacterium nucleatum, Leptotrichia wadei, Prevotella intermedia, and Megasphaera micronuciformis as the major contributors to the salivary microbiota, and Ruminococcus gnavus, Bacteroides ovatus, Parabacteroides distasonis, Citrobacter freundii, and Clostridium symbiosum to the fecal microbiota of patients with polyps. Salivary and fecal bacterial biomarkers showed Area Under ROC Curve of 0.8167 and 0.8051, respectively, which determined the potential of diagnostic markers in distinguishing patients with colorectal polyps from controls, and it increased to 0.8217 when salivary and fecal biomarkers were combined.
UNASSIGNED: The composition and diversity of the salivary and fecal microbiota were significantly different in colorectal polyp patients compared to healthy controls, with an increased abundance of harmful bacteria and a decreased abundance of beneficial bacteria. A promising non-invasive tool for the detection of colorectal polyps can be provided by potential biomarkers based on the microbiota of the saliva and feces.
摘要：
■肠道菌群通过微生物及其代谢产物在结直肠癌（CRC）发病机制中发挥重要作用，而口腔病原体是CRC相关微生物的主要成分。多项研究已经确定了用于CRC检测的前体病变的肠道和粪便微生物组衍生的生物标志物。然而,很少有研究使用唾液样本来预测结直肠息肉.因此,为了找到新的非侵入性结肠直肠息肉生物标志物，我们研究了结直肠息肉患者和健康对照组的粪便和唾液菌群差异.
■在本病例对照研究中，我们收集了2021年5月至2022年11月期间33例结直肠息肉(CP)患者和22例健康对照(HC)的唾液和粪便样本.使用全长16SrRNA测序对所有样品进行测序,并与核苷酸序列数据库进行比较。结肠直肠息肉的唾液和粪便微生物群特征是通过α和β多样性建立的，线性判别分析效应大小(LEfSe)和随机森林模型分析此外,通过受试者工作特征曲线(ROC)评估微生物群识别结直肠息肉的可能性.
■与HC组相比，CP组的微生物多样性在唾液中增加，在粪便中减少（p<0.05），但微生物群丰富度无显著差异(p>0.05)。主坐标分析显示，CP和HC组之间唾液和粪便微生物群的β多样性存在显着差异。此外，物种水平的LEfSe分析确定了牙龈卟啉单胞菌，具核梭杆菌,LeptotrichiaWadei,中间介体普雷沃特拉，和微核型Megasphaera作为唾液微生物群的主要贡献者，和牙本质的反刍动物,卵形拟杆菌，双分支杆菌,Freundii柠檬酸杆菌,和共生梭菌与息肉患者的粪便微生物群。唾液和粪便细菌生物标志物显示ROC曲线下面积分别为0.8167和0.8051,这确定了诊断标志物在区分结直肠息肉患者和对照组中的潜力，当唾液和粪便生物标志物结合使用时，它增加到0.8217。
■与健康对照组相比，大肠息肉患者的唾液和粪便微生物群的组成和多样性存在显着差异，有害细菌的丰度增加，有益细菌的丰度减少。基于唾液和粪便的微生物群的潜在生物标志物可以提供用于检测结肠直肠息肉的有希望的非侵入性工具。
■在本病例对照研究中，我们收集了2021年5月至2022年11月期间33例结直肠息肉(CP)患者和22例健康对照(HC)的唾液和粪便样本.使用全长16SrRNA测序对所有样品进行测序,并与核苷酸序列数据库进行比较。结肠直肠息肉的唾液和粪便微生物群特征是通过α和β多样性建立的，线性判别分析效应大小(LEfSe)和随机森林模型分析此外,通过受试者工作特征曲线(ROC)评估微生物群识别结直肠息肉的可能性.
■与HC组相比，CP组的微生物多样性在唾液中增加，在粪便中减少（p<0.05），但微生物群丰富度无显著差异(p>0.05)。主坐标分析显示，CP和HC组之间唾液和粪便微生物群的β多样性存在显着差异。此外，物种水平的LEfSe分析确定了牙龈卟啉单胞菌，具核梭杆菌,LeptotrichiaWadei,中间介体普雷沃特拉，和微核型Megasphaera作为唾液微生物群的主要贡献者，和牙本质的反刍动物,卵形拟杆菌，双分支杆菌,Freundii柠檬酸杆菌,和共生梭菌与息肉患者的粪便微生物群。唾液和粪便细菌生物标志物显示ROC曲线下面积分别为0.8167和0.8051,这确定了诊断标志物在区分结直肠息肉患者和对照组中的潜力，当唾液和粪便生物标志物结合使用时，它增加到0.8217。
■与健康对照组相比，大肠息肉患者的唾液和粪便微生物群的组成和多样性存在显着差异，有害细菌的丰度增加，有益细菌的丰度减少。基于唾液和粪便的微生物群的潜在生物标志物可以提供用于检测结肠直肠息肉的有希望的非侵入性工具。
