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

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.

Differentially expressed microRNA and target gene analysis in patients with postmenopausal osteoporosis / 中华创伤杂志

Objective To analyze the differentially expressed microRNA (miRNA) and their target genes in peripheral blood and bone tissue of postmenopausal osteoporosis (PMOP),and provide basis for the study of pathogenesis as well as biomarkers identification of PMOP.Methods Two miRNA datasets of PMOP from the public platform NCBI-GEO DataSets were obtained,including GSE64433 (the miRNA expression profile of peripheral blood samples,including 23 PMOP patients and 25 controls) and GSE74209 (the miRNA expression profile of the femoral neck bone tissue sample,including six PMOP patients and six controls).R/Bioconductor was performed for data analysis and differentially expressed miRNA screening,and miRNAs with fold change ＞ 2 & P ＜ 0.05 between osteoporosis and controls were selected as differentially expressed miRNA.The miRNA target gene prediction was performed by combining TargetScan,miRDB and miRTarBase databases.The miRNA-target gene regulatory network was constructed and analyzed by Cytoscape.Results There were 224 differentially expressed miRNAs (75 up-regulated miRNAs and 149 down-regulated miRNAs) in the peripheral blood samples of PMOP group (GSE64433 dataset) and 132 differentially expressed miRNAs (58 up-regulated miRNAs and 74 down-regulated miRNAs) in the femoral neck bone tissue of PMOP group (GSE74209 dataset).We combined the results from the two datasets and obtained 8 miRNAs down-regulated in both datasets,and the 8 miRNAs regulated a total of 327 target genes,and 10 of these target genes were co-regulated by two miRNAs.Conclusions The core miRNAs and the target genes regulated by multiple miRNAs in the regulatory network may play important roles in the pathogenesis of PMOP and have potential application values as molecular biomarkers of disease.These findings are meaningful for the studies of PMOP pathogenesis,biomarkers screening and prevention of osteoporotic fractures.

Differentially expressed microRNA and target gene analysis in patients with postmenopausal osteoporosis / 中华创伤杂志

Objective@#To analyze the differentially expressed microRNA (miRNA) and their target genes in peripheral blood and bone tissue of postmenopausal osteoporosis (PMOP), and provide basis for the study of pathogenesis as well as biomarkers identification of PMOP.@*Methods@#Two miRNA datasets of PMOP from the public platform NCBI-GEO DataSets were obtained, including GSE64433 (the miRNA expression profile of peripheral blood samples, including 23 PMOP patients and 25 controls) and GSE74209 (the miRNA expression profile of the femoral neck bone tissue sample, including six PMOP patients and six controls). R/Bioconductor was performed for data analysis and differentially expressed miRNA screening, and miRNAs with fold change>2 & P<0.05 between osteoporosis and controls were selected as differentially expressed miRNA. The miRNA target gene prediction was performed by combining TargetScan, miRDB and miRTarBase databases. The miRNA-target gene regulatory network was constructed and analyzed by Cytoscape.@*Results@#There were 224 differentially expressed miRNAs (75 up-regulated miRNAs and 149 down-regulated miRNAs) in the peripheral blood samples of PMOP group (GSE64433 dataset) and 132 differentially expressed miRNAs (58 up-regulated miRNAs and 74 down-regulated miRNAs) in the femoral neck bone tissue of PMOP group (GSE74209 dataset). We combined the results from the two datasets and obtained 8 miRNAs down-regulated in both datasets, and the 8 miRNAs regulated a total of 327 target genes, and 10 of these target genes were co-regulated by two miRNAs.@*Conclusions@#The core miRNAs and the target genes regulated by multiple miRNAs in the regulatory network may play important roles in the pathogenesis of PMOP and have potential application values as molecular biomarkers of disease. These findings are meaningful for the studies of PMOP pathogenesis, biomarkers screening and prevention of osteoporotic fractures.

Drug Resistance and Homology Analysis of Multi-drug Resistant Acinetobacter Baumannii in Orthopaedic Hospital / 现代检验医学杂志

Objective To investigate the drug resistance and homology status of Multi-drug Resistant AcinetobacterBauman-nii (MDR-AB)in orthopaedic hospital.Methods 34 strains MDR-AB were isolated from 2016.1~2016.7 for DNA extrac-tion and were typed by repetitive extragenic palindromie-polyrnerase chain reaction (REP-PCR).Results The resistance rate of MDR-AB were ≥70% to 15 of 17 antimicrobials,except to cotrimoxazole (14%)and levofloxacin (61%),34 strains of MDR-AB were divided into three types by REP-PCR including typeⅠ,typeⅡ and typeⅢ.Conclusion Drug resistance of MDR-AB was severe and mainly composed of the same genotype (typeⅠ).Rational use of antimicrobial and regular mo-nitoring of drug resistance is necessary to reduce the nosocomial transmission.

Effects of exercise on spleen T lymphocyte proliferation and T-lymphocyte subsets of SD rats / 中国免疫学杂志

Objective:To explore the effects of exercise on the spleen T lymphocyte proliferation and T lymphocyte subsets of SD rats.Methods:24 SD rats were divided into 3 groups randomly:control group,30 min exercise group,60 min exercise group;MTT and flow cytometry ( FCM ) were utilized to examine the spleen T lymphocyte proliferative capability and T lymphocyte subsets, respectively.Results:Compared with the control group,the T lymphocyte proliferation,levels of CD4+and CD4+/CD8+T lymphocytes in 30 min exercise group rats were significantly increased(P<0.05),levels of CD8+T lymphocytes in 30 min exercise group rats had no statistically significant change;the T lymphocyte proliferation,levels of CD4+,CD8+and CD4+/CD8+T lymphocytes in 60 min exercise group rats had no statistically significant changes.Conclusion: Suitable loaded exercise could enhance the cellular immune function, this is probably related with the mechanisms of improving the T lymphocyte proliferative capability and regulating the CD4+/CD8+T lymphocyte subsets.