1.Effect of Pioglitazone on Impaired Glucose Regulation
Wei-hua CAO ; Ai-hua ZHANG ; Mei-lin FU ; Zongguang HUI ; Ying GUO
Chinese Journal of Rehabilitation Theory and Practice 2006;12(3):259-260
ObjectiveTo observe the effect of pioglitazone on the metabolism of glucose and lipid in patients with Impaired Glucose Regulation(IGR).Methods60 cases of IGR received conventional education on diabetes prevention,while the patients in intervention group(30 cases) accepted pioglitazone 15 mg once a day for 12 weeks.Blood pressure(BP),body weight,waist circumference,hip circumference were measured to calculate body mass index(BMI) and waist-hip ratio(WHR).The Fasting blood glucose(FBG),2 h postprandial blood glucose,glcosylated hemoglobin(GHb,HbA1C),fasting serum insulin(FINS),postprandial serum insulin(2hINS),total cholesterol(TC),triglyceride(TG),high-density lipoprotein cholesterol(HDL-C),low-density lipoprotein cholesterol(LDL-C),hepatic function,renal function were determined before and 12 weeks after intervention.ResultsAfter intervention,BP,BMI,FBG,2hBG,FINS,2hINS,HbA1C,TC,TG,LDL-C had been decreased significantly in intervention group(P<0.05 or P<0.01).There were significant differences between intervention group and control group(P<0.05 or P<0.01) in all indexes except body weight,WHR,hepatic function,renal function.ConclusionPioglitazone can obviously improve the metabolism of glucose and lipid in patients with IGR.
2.The expression of X-linked inhibitor of apoptosis protein and cell apoptosis in caerulein-stimulated rat pancreatic acinus AR42J cell lines.
Jingjing JIANG ; Zongguang ZHOU ; Ling WANG ; Lihui CHEN ; Yuan LI ; Hui YAN ; Bin ZHOU ; Yong LIU ; Keling CHEN
Journal of Biomedical Engineering 2011;28(2):332-351
To study the expression of X-linked inhibitor of apoptosis protein (XIAP) and cell apoptosis in vitro model of acute pancreatitis (AP), we carried out experiments to stimulate AR42J cell line with caerulein (10(-8) mol/L) for 12 hours, then collected cells at various time points (0 h, 4 h, 8 h, 12 h, and 24 h, respectively). We then observed the morphologic changes of AR42J cells with the stimulation of caerulein with electronic microscope. The gene expression of XIAP, caspase-3 and caspase-9 was detected using real-time fluorescence quantitative polymerase chain reaction (FQ-PCR), and the protein expression of XIAP was assessed by western blot. The activation of nuclear factor-kappa B (NF-kappaB) was measured by flow cytometry (FCM). With the stimulation of caerulein, the expression of XIAP and the NF-kappaB activation could first decrease and then increase, but the change of caspase-3 and caspase-9 expressions were opposite. XIAP may inhibit the cell apoptosis in rat pancreatic acinus AR42J cell lines at first with the stimulation of caerulein, then NF-kappaB can upgrade the expression of XIAP and increase the cell apoptosis.
Acinar Cells
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cytology
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metabolism
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Animals
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Apoptosis
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physiology
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Cell Line
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Ceruletide
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pharmacology
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NF-kappa B
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metabolism
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Pancreas
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cytology
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metabolism
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Pancreatitis
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metabolism
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Rats
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X-Linked Inhibitor of Apoptosis Protein
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genetics
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metabolism
3.Acute suppurative thyroiditis misdiagnosed as subacute thyroiditis with deep neck space infections and Lemierre's syndrome: a case reported and literature reviewed
Jiannan WANG ; Yao BIE ; Chengxia KAN ; Zhibin CAO ; Junsheng QU ; Qi ZHANG ; Xiaodong SUN ; Zongguang HUI
Clinical Medicine of China 2024;40(2):123-127
Acute suppurative thyroiditis(AST) is a rare thyroid disease, mostly caused by infections such as Staphylococcus aureus, and it is difficult to distinguish from subacute thyroiditis(SAT) at the beginning of the disease. Here we report the clinical data of a young male patient who was initially misdiagnosed as SAT, but was clinically diagnosed as AST with DNSIs accompanied by LS. The clinical features and treatment, combined with related literature, aim to enhance clinicians' understanding of this disease.
4.Vaginal microbiota characteristics and influencing factors in normal pregnant women
Yaxin LI ; Zongguang LI ; Ziqiang QIAN ; Miao ZHANG ; Hui KAN ; Yutong MU ; Yanmin CAO ; Yao DONG ; Kailin WANG ; Yijie LI ; Haiyan LIU ; Qing LI ; Anqun HU ; Yingjie ZHENG
Chinese Journal of Microbiology and Immunology 2022;42(1):50-61
Objective:To study the characteristics and influencing factors of vaginal microbiota in normal pregnant women.Methods:This study was based on a cohort of pregnant women established in Anqing Municipal Hospital Affiliated to Anhui Medical University from February 2018 to February 2020. Vaginal samples of normal pregnant women who met the inclusion and exclusion criteria were ordered by the gestational weeks at sampling. Five samples were randomly selected from each gestational week group and if the samples were less than five, all samples were included. Sequencing of the V3-V4 region of the 16S rRNA gene was performed. Dominant species were analyzed by MicrobiomeAnalyst. Alpha diversity was measured with Chao1, Observed Features, Shannon diversity, Simpson diversity, Faith_pd and Pielou′s Evenness. The dominant status of Lactobacillus was also described and compared. Multiple linear regression and logistic regression were used to analyze the factors influencing vaginal microbiota. Analysis of variance and Kruskal Wallis test were used for statistical analysis of continuous variables, and Chi-square test and Fisher′s exact test were used for categorical data. The differences were considered statistically significant when the P value was less than 0.05. Results:This study enrolled 91 pregnant women (91 vaginal samples) with an average age of (27.37±3.60) years. There were 18, 56 and 17 vaginal samples collected at the median gestational age of 11.93 weeks (the first trimester), 19.43 weeks (the second trimester) and 38.29 weeks (the third trimester), respectively. The relative abundance of Firmicutes and Lactobacillus was 91.30% and 87.67%, respectively. Lactobacillus iners and Lactobacillus crispatus had a relative abundance of 43.95% and 36.33%, respectively. Moreover, Lactobacillus iners-dominated vaginal microbiota was detected in all trimesters. The number of samples with high relative abundance of Lactobacillus iners gradually decreased with gestational age. Lactobacillus crispatus-dominated vaginal microbiota was found in the second and third trimesters and the number of samples with high relative abundance gradually increased during pregnancy. The Alpha diversity of vaginal microbiota had a decreasing trend during the gestation. There were significant differences in Pielou′s Evenness diversity index of vaginal microbiota between different smoking groups ( P<0.05) and in Shannon diversity index between different drinking groups ( P<0.05). There were significant differences in Chao1, Observed Features and Faith_pd diversity index of vaginal microbiota between pregnant women with different education ( P<0.05) and in Shannon and Simpson diversity index between different income groups ( P<0.05). Conclusions:Vaginal microbiota was dominated by Lactobacillus in normal pregnant women. The dominance of Lactobacillus iners gradually decreased, while that of Lactobacillus crispatus increased during gestation. In normal pregnant women, the Alpha diversity of vaginal microbiota was correlated with smoking, drinking, education and family annual income. Smoking cessation and drinking before pregnancy were related to lower Alpha diversity of vaginal microbiota in pregnant women, while lower education and higher family income were associated with higher Alpha diversity.
5.Characteristics of vaginal microbiota in pregnant women with premature rupture of membranes and establishment of prediction model
Yutong MU ; Hui KAN ; Yanmin CAO ; Miao ZHANG ; Zongguang LI ; Yao DONG ; Kailin WANG ; Yijie LI ; Haiyan LIU ; Qing LI ; Anqun HU ; Yingjie ZHENG
Chinese Journal of Microbiology and Immunology 2023;43(2):102-114
Objective:To study the characteristics of vaginal microbiota in pregnant women with premature rupture of membranes (PROM) and to establish prediction models for PROM.Methods:This study involved 35 women with preterm premature rupture of membranes (PPROM), 180 with term premature rupture of membranes (TPROM) and 255 term birth cases without premature rupture of membranes (TBWPROM, control group). The V3-V4 hypervariable region sequences in the vaginal samples collected at 16-28 weeks of gestation were detected by 16S rRNA gene next-generation sequencing. The differences in Alpha and Beta diversity, and the attributes and metabolic function prediction of each recognized species among the three groups were analyzed. Subsequently, a random forest model was used to establish the prediction models for PROM using vaginal microbiota species and environmental risk factors.Results:Compared with the control group, the Alpha diversity of the PPROM group was higher (Observed features, P=0.022; Faith_pd index, P=0.024) and Beta diversity was also significantly different (Unweighted UniFrac, P=0.010; Jaccard index, P=0.008). In PPROM cases, Megasphaera genomosp. typeⅠ was significantly increased ( P=0.017) and Lactobacillus mulieris was significantly decreased ( P=0.003). In the patients with TPROM, Megasphaera was significantly increased ( P=0.009) and Lactobacillus mulieris was significantly decreased ( P=0.002). In terms of functional pathways, sulfur oxidation ( P=0.021), methanogenesis from acetate ( P=0.036), L-histidine biosynthesis ( P=0.009), adenosylcobalamin biosynthesis ( P=0.041) and fucose degradation ( P=0.001) were significantly increased in patients with PPROM; L-histidine biosynthesis ( P<0.001) and fucose degradation ( P=0.030) were significantly increased in patients with TPROM. The prediction models were established using the random forest model with vaginal microbiota species and environmental risk factors and the prediction model for PPROM performed well [AUC: 0.739 (95%CI: 0.609-0.869), sensitivity: 0.928, specificity: 0.659, positive predictive value: 0.750, negative predictive value: 0.906], which had a certain reference value. Conclusions:Vaginal microbiota might be related to the development and progression of PROM. Studying the differences in vaginal microbiota might provide a new idea for the prevention and treatment of PROM. Functional prediction provided a direction for further research on the mechanism of PROM. The established prediction model could prevent the occurrence of PPROM and promote maternal and infant health.