Sun Mengyue, Liu Yuanyuan, Tang Shan, Li Yiming, Zhang Ridong, Mao Li
Department of Geratology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, 223300, People's Republic of China.
Department of Endocrinology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, 223300, People's Republic of China.
Int J Gen Med. 2024 Sep 23;17:4311-4324. doi: 10.2147/IJGM.S468654. eCollection 2024.
This study investigated differences in gut flora between osteoporosis (OP) patients and healthy individuals using 16S rDNA sequencing. The correlation between differential flora abundance and bone mineral density (BMD) was analyzed, and key flora and potential mechanisms associated with OP were explored.
Forty-three OP patients and twenty-four healthy volunteers were recruited. Gender, age, height, weight, and BMD data were collected. DNA from fecal samples was extracted for 16S rDNA sequencing. The Kruskal-Wallis test assessed differences in gut flora composition, while LEfSe analysis identified significant flora. Spearman correlation analysis examined the relationship between differential flora and BMD, and PICRUSt predicted pathways involved in OP.
Significant differences in microbial composition were found between the two groups. Klebsiella, Escherichia-Shigella, and Akkermansia were biomarkers in OP patients, with Faecalibacterium in the healthy group. Akkermansia abundance negatively correlated with lumbar BMD, while Klebsiella and Escherichia-Shigella negatively correlated with femoral neck and hip BMD. Faecalibacterium showed a positive correlation with BMD. Functional predictions indicated differences in metabolism-related pathways between the groups.
Gut flora differed significantly between OP patients and healthy individuals. Akkermansia, Klebsiella, and Escherichia-Shigella could serve as diagnostic biomarkers for OP, highlighting the potential of gut flora in OP diagnosis and treatment.
本研究采用16S rDNA测序技术调查骨质疏松症(OP)患者与健康个体之间肠道菌群的差异。分析差异菌群丰度与骨密度(BMD)之间的相关性,并探索与OP相关的关键菌群和潜在机制。
招募43例OP患者和24名健康志愿者。收集性别、年龄、身高、体重和BMD数据。提取粪便样本中的DNA进行16S rDNA测序。Kruskal-Wallis检验评估肠道菌群组成的差异,而LEfSe分析确定显著菌群。Spearman相关性分析检查差异菌群与BMD之间的关系,PICRUSt预测参与OP的途径。
两组之间微生物组成存在显著差异。克雷伯菌属、大肠埃希菌-志贺菌属和阿克曼菌属是OP患者的生物标志物,健康组为粪杆菌属。阿克曼菌属丰度与腰椎BMD呈负相关,而克雷伯菌属和大肠埃希菌-志贺菌属与股骨颈和髋部BMD呈负相关。粪杆菌属与BMD呈正相关。功能预测表明两组之间代谢相关途径存在差异。
OP患者与健康个体之间肠道菌群存在显著差异。阿克曼菌属、克雷伯菌属和大肠埃希菌-志贺菌属可作为OP的诊断生物标志物,突出了肠道菌群在OP诊断和治疗中的潜力。