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Objective:To assess plasma microfibrillar associated protein 5(MFAP5) level in patients with polycystic ovary syndrome(PCOS), and to explore its relationship with glucose and lipid metabolism as well as sex hormones.Methods:Fifty PCOS patients and 65 healthy female subjects were selected as PCOS group and control group, respectively. Clinical data and plasma MFAP5 levels between the two groups were compared.Results:The plasma MFAP5 level in PCOS group was significantly higher than that in control group( P<0.01), and the plasma MFAP5 level in PCOS overweight subgroup was higher than that in control subgroup( P<0.01). No difference was observed in plasma MFAP5 level between the two non-overweight subgroups( P>0.05). Correlation analysis showed that plasma MFAP5 level was positively correlated with waist circumference, low density lipoprotein-cholesterol, fasting insulin, homoeostasis model assessment of insulin resistance index(HOMA-IR), HbA 1C, testosterone, LH/FSH ratio, and leukocyte( P<0.05 or P<0.01). There was no significant correlation of MFAP5 with body weight, body mass index(BMI), hip circumference, waist hip ratio, high density lipoprotein-cholesterol(HDL-C), triglyceride, total cholesterol, and blood glucose( P>0.05). In PCOS group, plasma MFAP5 level was positively correlated with body weight, BMI, waist circumference, hip circumference, total cholesterol, and leukocyte( P<0.05 or P<0.01). There was no significant correlation of MFAP5 with waist hip ratio, HDL-C, triglyceride, blood glucose, fasting insulin, HOMA-IR, leukocyte, and sex hormones( P>0.05). Multivariate logistic regression analysis showed that MFAP5 was an independent risk factor for PCOS( P<0.05). Conclusion:Plasma MFAP5 level is increased in PCOS patients and is closely related to BMI, waist circumference, hip circumference, and total cholesterol. Plasma MFAP5 is an independent risk factor for PCOS, which may be involved in the pathogenesis of PCOS.
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Background@#The onset and progression of type 1 diabetes mellitus (T1DM) is closely related to autoimmunity. Effective monitoring of the immune system and developing targeted therapies are frontier fields in T1DM treatment. Currently, the most available tissue that reflects the immune system is peripheral blood mononuclear cells (PBMCs). Thus, the aim of this study was to identify key PBMC biomarkers of T1DM. @*Methods@#Common differentially expressed genes (DEGs) were screened from the Gene Expression Omnibus (GEO) datasets GSE9006, GSE72377, and GSE55098, and PBMC mRNA expression in T1DM patients was compared with that in healthy participants by GEO2R. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and protein-protein interaction (PPI) network analyses of DEGs were performed using the Cytoscape, DAVID, and STRING databases. The vital hub genes were validated by reverse transcription-polymerase chain reaction using clinical samples. The disease-gene-drug interaction network was built using the Comparative Toxicogenomics Database (CTD) and Drug Gene Interaction Database (DGIdb). @*Results@#We found that various biological functions or pathways related to the immune system and glucose metabolism changed in PBMCs from T1DM patients. In the PPI network, the DEGs of module 1 were significantly enriched in processes including inflammatory and immune responses and in pathways of proteoglycans in cancer. Moreover, we focused on four vital hub genes, namely, chitinase-3-like protein 1 (CHI3L1), C-X-C motif chemokine ligand 1 (CXCL1), matrix metallopeptidase 9 (MMP9), and granzyme B (GZMB), and confirmed them in clinical PBMC samples. Furthermore, the disease-gene-drug interaction network revealed the potential of key genes as reference markers in T1DM. @*Conclusion@#These results provide new insight into T1DM pathogenesis and novel biomarkers that could be widely representative reference indicators or potential therapeutic targets for clinical applications.
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Objective To Analyze the etiology and antibiotic susceptibility in exacerbated bronchiectasis, and guide rational drug use in clinic. Methods Pathogenic microorganism culture and drug sensitivity of sputum samples of 496 cases were collected from 2015 to 2016 in Shengjing Affiliated Hospital, China Medical University. The Excel software was used to analyze the screening data and the SPSS 22.0 was used for statistical analysis to obtain the drug resistance of the bacteria to the commonly used antibiotics. Results In 469 patients, there were 551 pieces of sputum , with 198 strains positive bacterium. Positive rate was 35.93％(198/551), and bacterium was 171 strains (86.36％). Bacteria of top three positive rate was 86 strains of Pseudomonas aeruginosa (50.29％), 54 strains of Acinetobacter baumannii (31.58％) and 10 strains of Klebsiella pneumoniae (5.85％). The resistance rate of Acinetobacter baumannii and Pseudomonas aeruginosa was higher, and other pathogens also showed various degrees of tolerance to antibiotic. Conclusions The pathogens in patients with acute exacerbation of bronchiectasis are Gram-negative bacteria. Considering the characters of Pseudomonas aeruginosa, it is not suggested to use cephalosporin of the third and fourth generation in treating Pseudomonas aeruginosa. Clinical selection of antibiotics should combine with the disease characteristics of patients in our hospital.