PDF(Pubmed)
Abstract：
UNASSIGNED: This study aimed to investigate the composition of ocular surface microbiota in patients with obesity.
UNASSIGNED: This case-control study, spanning from November 2020 to March 2021 at Henan Provincial People\'s Hospital, involved 35 patients with obesity and an equivalent number of age and gender-matched healthy controls. By employing 16S rRNA sequencing, this study analyzed the differences in ocular surface microbiota between the two groups. The functional prediction analysis of the ocular surface microbiota was conducted using PICRUSt2.
UNASSIGNED: The alpha diversity showed no notable differences in the richness or evenness of the ocular surface microbiota when comparing patients with obesity to healthy controls (Shannon index, P=0.1003). However, beta diversity highlighted significant variances in the microbiota composition of these two groups (ANOSIM, P=0.005). LEfSe analysis revealed that the relative abundances of Delftia, Cutibacterium, Aquabacterium, Acidovorax, Caulobacteraceae unclassified, Comamonas and Porphyromonas in patients with obesity were significantly increased (P<0.05). Predictive analysis using PICRUSt2 highlighted a significant enhancement in certain metabolic pathways in patients with obesity, notably xenobiotics metabolism via cytochrome P450 (CYP450), lipid metabolism, and the oligomerization domain (NOD)-like receptor signaling pathway (P<0.05).
UNASSIGNED: Patients with obesity exhibit a distinct ocular surface core microbiome. The observed variations in this microbiome may correlate with increased activity in CYP450, changes in lipid metabolism, and alterations in NOD-like receptor signaling pathways.
UNASSIGNED: This case-control study, spanning from November 2020 to March 2021 at Henan Provincial People\'s Hospital, involved 35 patients with obesity and an equivalent number of age and gender-matched healthy controls. By employing 16S rRNA sequencing, this study analyzed the differences in ocular surface microbiota between the two groups. The functional prediction analysis of the ocular surface microbiota was conducted using PICRUSt2.
UNASSIGNED: The alpha diversity showed no notable differences in the richness or evenness of the ocular surface microbiota when comparing patients with obesity to healthy controls (Shannon index, P=0.1003). However, beta diversity highlighted significant variances in the microbiota composition of these two groups (ANOSIM, P=0.005). LEfSe analysis revealed that the relative abundances of Delftia, Cutibacterium, Aquabacterium, Acidovorax, Caulobacteraceae unclassified, Comamonas and Porphyromonas in patients with obesity were significantly increased (P<0.05). Predictive analysis using PICRUSt2 highlighted a significant enhancement in certain metabolic pathways in patients with obesity, notably xenobiotics metabolism via cytochrome P450 (CYP450), lipid metabolism, and the oligomerization domain (NOD)-like receptor signaling pathway (P<0.05).
UNASSIGNED: Patients with obesity exhibit a distinct ocular surface core microbiome. The observed variations in this microbiome may correlate with increased activity in CYP450, changes in lipid metabolism, and alterations in NOD-like receptor signaling pathways.
摘要：
■本研究旨在探讨肥胖患者眼表微生物群的组成。
■本病例对照研究，从2020年11月到2021年3月在河南省人民医院，纳入35例肥胖患者和同等数量的年龄和性别匹配的健康对照者.通过使用16SrRNA测序，本研究分析了两组眼表微生物群的差异.使用PICRUSt2进行眼表微生物群的功能预测分析。
■将肥胖患者与健康对照进行比较时，α多样性在眼表微生物群的丰富度或均匀度上没有显着差异（Shannon指数，P=0.1003)。然而,β多样性强调了这两组微生物群组成的显著差异(ANOSIM，P=0.005)。LEfSe分析显示，Delftia的相对丰度，Cutubacterium,水细菌,Acidovorax,枯草杆菌科未分类，肥胖患者的共生菌和卟啉单胞菌明显增多(P<0.05)。使用PICRUSt2的预测分析强调了肥胖患者某些代谢途径的显着增强。特别是通过细胞色素P450（CYP450）代谢的异源物质，脂质代谢，和寡聚化结构域(NOD)样受体信号通路(P<0.05)。
■肥胖患者表现出独特的眼表核心微生物组。在这种微生物组中观察到的变化可能与CYP450的活性增加，脂质代谢的变化，和NOD样受体信号通路的改变。
■本病例对照研究，从2020年11月到2021年3月在河南省人民医院，纳入35例肥胖患者和同等数量的年龄和性别匹配的健康对照者.通过使用16SrRNA测序，本研究分析了两组眼表微生物群的差异.使用PICRUSt2进行眼表微生物群的功能预测分析。
■将肥胖患者与健康对照进行比较时，α多样性在眼表微生物群的丰富度或均匀度上没有显着差异（Shannon指数，P=0.1003)。然而,β多样性强调了这两组微生物群组成的显著差异(ANOSIM，P=0.005)。LEfSe分析显示，Delftia的相对丰度，Cutubacterium,水细菌,Acidovorax,枯草杆菌科未分类，肥胖患者的共生菌和卟啉单胞菌明显增多(P<0.05)。使用PICRUSt2的预测分析强调了肥胖患者某些代谢途径的显着增强。特别是通过细胞色素P450（CYP450）代谢的异源物质，脂质代谢，和寡聚化结构域(NOD)样受体信号通路(P<0.05)。
■肥胖患者表现出独特的眼表核心微生物组。在这种微生物组中观察到的变化可能与CYP450的活性增加，脂质代谢的变化，和NOD样受体信号通路的改变。
