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Profile and gene functional analysis of gut microbiota in women with postmenopausal osteoporosis / 中华微生物学和免疫学杂志
Article in Zh | WPRIM | ID: wpr-912126
Responsible library: WPRO
ABSTRACT
Objective:To explore the profile and gene functional changes of gut microbiota (GM) in women with postmenopausal osteoporosis (PMOP) in Northwest China, and the correlations between GM and bone mineral density (BMD).Methods:From November 2018 to October 2019, postmenopausal women were screened on their initial visits to our hospital, and 24 new osteoporosis (OP) patients, 30 new osteopenia patients and nine negative controls were recruited. Fecal samples were collected for GM DNA extraction, and Illumina platforms were used for high-throughput sequencing of 16S rRNA and metagenome. Species annotation, GM profile and gene functions were viewed and analyzed.Results:GM profiles were significatly different in different groups, and the LDA scores of Peptostreptococcaceae, Romboutsia, unidentified Clostridiales, Megamonas, Erysipelatoclostridium, Klebsiella and Erysipelatoclostridium ramosum were more than 3 in OP group. Metagenomic sequencing analysis indicated that gene numbers were positively correlated with BMD, and metabolism, carbohydrate metabolism, starch and sucrose metabolism and oxidative phosphorylation were negatively correlated with BMD. Receiver operating characteristic curve(ROC) showed that carbohydrate metabolism, starch and sucrose metabolism, amino sugar and nucleotide sugar metabolism, oxidative phosphorylation, respectively, could identify OP with preferable sensitivity and specificity (areas under curve were 0.70, 0.72, 0.73 and 0.75, respectively). Conclusions:High-throughput sequencing had great potential for GM analysis of postmenopausal women with OP, providing evidence of the correlations between GM and BMD.
Key words
Full text: 1 Index: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Chinese Journal of Microbiology and Immunology Year: 2021 Type: Article
Full text: 1 Index: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Chinese Journal of Microbiology and Immunology Year: 2021 Type: Article