Changzhou Second Peoples Hospital

Xinglong, China

Changzhou Second Peoples Hospital

Xinglong, China
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Gao J.,Shanghai University | Zhou X.-L.,Changzhou Second Peoples Hospital | Kong R.-N.,Shanghai University | Ji L.-M.,Shanghai University | And 2 more authors.
Experimental and Molecular Pathology | Year: 2016

Objective: The purpose of our study was to elucidate the impact of microRNA-126 (miR-126) targeting PIK3R2 gene on cell proliferation and apoptosis of rheumatoid arthritis synovial fibro-blasts (RASFs) by regulating PI3K/AKT signal pathway. Methods: The synovial tissue samples of this study were from 55 RA patients undergoing joint replacement and 27 healthy people undergoing joint repair due to trauma. The target genes of miR-126 were collected by the TargetScan and PIK3R2 as the direct target gene of miR-126 was confirmed by dual-luciferase reporter assay system. Our experiment had five groups including the blank control, miR-126 mimic, miR-126 mimic control, miR-126 inhibitor and miR-126 inhibitor control groups. Additionally, real-time quantitative polymerase chain reaction (RT-qPCR), Western-Blot, cell counting kit (CCK-8) and flow cytometry were carried out in this study. Results: Compared with healthy individuals, the RA patients had increased miR-126, but decreased PIK3R2 mRNA expressions in the synovial tissues. Pearson correlation analysis indicated that miR-126 expression was negatively correlated with PIK3R2 mRNA expression (all P<. 0.05). When compared with the blank group respectively, the miR-126 mimic group had raising cell proportions in S and G2/M phases with reduced rate of cell apoptosis, while the miR-126 inhibitor group had raising cell proportions in G0/G1 and G2/M phases with increased rate of cell apoptosis (all P<. 0.05). Besides, compared with the blank control group, the miR-126 mimic group had declined expression of PIK3R2 protein with ascended expression of PI3K and p-AKT (all P<. 0.05), while the miR-126 inhibitor group had increased expression of PIK3R2 protein with decreased expression of PI3K and p-AKT (all P<. 0.05). Conclusion: Our study demonstrated that down-regulation of miR-126 may indirectly inhibit PI3K/AKT signaling pathway to disrupt the imbalance between growth and death of RASFs by targeting PIK3R2, which may be clinically helpful to find therapeutic strategies directed toward miR-126 function for RA patients. © 2015 Elsevier Inc..


PubMed | Changzhou Second Peoples Hospital and Shanghai University
Type: Journal Article | Journal: Experimental and molecular pathology | Year: 2016

The purpose of our study was to elucidate the impact of microRNA-126 (miR-126) targeting PIK3R2 gene on cell proliferation and apoptosis of rheumatoid arthritis synovial fibro-blasts (RASFs) by regulating PI3K/AKT signal pathway.The synovial tissue samples of this study were from 55 RA patients undergoing joint replacement and 27 healthy people undergoing joint repair due to trauma. The target genes of miR-126 were collected by the TargetScan and PIK3R2 as the direct target gene of miR-126 was confirmed by dual-luciferase reporter assay system. Our experiment had five groups including the blank control, miR-126 mimic, miR-126 mimic control, miR-126 inhibitor and miR-126 inhibitor control groups. Additionally, real-time quantitative polymerase chain reaction (RT-qPCR), Western-Blot, cell counting kit (CCK-8) and flow cytometry were carried out in this study.Compared with healthy individuals, the RA patients had increased miR-126, but decreased PIK3R2 mRNA expressions in the synovial tissues. Pearson correlation analysis indicated that miR-126 expression was negatively correlated with PIK3R2 mRNA expression (all P<0.05). When compared with the blank group respectively, the miR-126 mimic group had raising cell proportions in S and G2/M phases with reduced rate of cell apoptosis, while the miR-126 inhibitor group had raising cell proportions in G0/G1 and G2/M phases with increased rate of cell apoptosis (all P<0.05). Besides, compared with the blank control group, the miR-126 mimic group had declined expression of PIK3R2 protein with ascended expression of PI3K and p-AKT (all P<0.05), while the miR-126 inhibitor group had increased expression of PIK3R2 protein with decreased expression of PI3K and p-AKT (all P<0.05).Our study demonstrated that down-regulation of miR-126 may indirectly inhibit PI3K/AKT signaling pathway to disrupt the imbalance between growth and death of RASFs by targeting PIK3R2, which may be clinically helpful to find therapeutic strategies directed toward miR-126 function for RA patients.


Han Y.,Changzhou Second Peoples Hospital | Li L.,Changzhou Second Peoples Hospital | Zhang Y.,Central South University | Zhang Y.,University of Nevada, Reno | And 4 more authors.
Current Vascular Pharmacology | Year: 2015

Vascular diseases are usually caused by multifactorial pathogeneses involving genetic and environmental factors. Our current understanding of vascular disease is, however, based on the focused genotype/phenotype studies driven by the “one-gene/one-phenotype” hypothesis. Drugs with “pure target” at individual molecules involved in the pathophysiological pathways are the mainstream of current clinical treatments and the basis of combination therapy of vascular diseases. Recently, the combination of genomics, proteomics, and metabolomics has unraveled the etiology and pathophysiology of vascular disease in a big-data fashion and also revealed unmatched relationships between the omic variability and the much narrower definition of various clinical phenotypes of vascular disease in individual patients. Here, we introduce the phenomics strategy that will change the conventional focused phenotype/genotype/genome study to a new systematic phenome/genome/proteome approach to the understanding of pathophysiology and combination therapy of vascular disease. A phenome is the sum total of an organism’s phenotypic traits that signify the expression of genome and specific environmental influence. Phenomics is the study of phenome to quantitatively correlate complex traits to variability not only in genome, but also in transcriptome, proteome, metabolome, interactome, and environmental factors by exploring the systems biology that links the genomic and phenomic spaces. The application of phenomics and the phenome-wide associated study (PheWAS) will not only identify a systemically-integrated set of biomarkers for diagnosis and prognosis of vascular disease but also provide novel treatment targets for combination therapy and thus make a revolutionary paradigm shift in the clinical treatment of these devastating diseases. © 2015 Bentham Science Publishers.


Zhang Y.-P.,Capital Medical University | Zhang Y.-Y.,Changzhou Second Peoples Hospital | Duan D.D.,University of Nevada, Reno
Progress in Molecular Biology and Translational Science | Year: 2016

Obesity is a condition in which excess body fat has accumulated over an extent that increases the risk of many chronic diseases. The current clinical classification of obesity is based on measurement of body mass index (BMI), waist-hip ratio, and body fat percentage. However, these measurements do not account for the wide individual variations in fat distribution, degree of fatness or health risks, and genetic variants identified in the genome-wide association studies (GWAS). In this review, we will address this important issue with the introduction of phenome, phenomics, and phenome-wide association study (PheWAS). We will discuss the new paradigm shift from GWAS to PheWAS in obesity research. In the era of precision medicine, phenomics and PheWAS provide the required approaches to better definition and classification of obesity according to the association of obese phenome with their unique molecular makeup, lifestyle, and environmental impact. © 2016.


PubMed | University of Nevada, Reno, Capital Medical University and Changzhou Second Peoples Hospital
Type: | Journal: Progress in molecular biology and translational science | Year: 2016

Obesity is a condition in which excess body fat has accumulated over an extent that increases the risk of many chronic diseases. The current clinical classification of obesity is based on measurement of body mass index (BMI), waist-hip ratio, and body fat percentage. However, these measurements do not account for the wide individual variations in fat distribution, degree of fatness or health risks, and genetic variants identified in the genome-wide association studies (GWAS). In this review, we will address this important issue with the introduction of phenome, phenomics, and phenome-wide association study (PheWAS). We will discuss the new paradigm shift from GWAS to PheWAS in obesity research. In the era of precision medicine, phenomics and PheWAS provide the required approaches to better definition and classification of obesity according to the association of obese phenome with their unique molecular makeup, lifestyle, and environmental impact.


Wei J.,Changzhou Second Peoples Hospital | Heng W.,Changzhou Jintan Peoples Hospital | Gao J.,Changzhou Second Peoples Hospital
Medicine (United States) | Year: 2016

Studies of the effects of low glycemic index (LGI) diets on gestational diabetes mellitus (GDM) have reported conflicting findings. The aim of the study was to evaluate the results of randomized controlled trials (RCTs) that investigated the effects of LGI diets with and without added dietary fiber (DF) on maternal and neonatal outcomes in GDM patients. We searched the MEDLINE, EMBASE, EBSCO, Springer, Ovid, and Cochrane Library databases for studies of the effects of LGI diets in GDM patients. We performed a meta-analysis of the effects of the LGI diets with and without added dietary fiber (DF) on GDM outcomes. Risk ratios (RR) and 95% confidence intervals (CIs) were calculated using random- and fixed-effects models. Five RCTs involving 302 participants were included in our meta-analysis. No statistically significant differences in the risks of cesarean section delivery, large for gestational age, and small for gestational age were observed. The risk of macrosomia in the LGI groups was significantly lower (RR=0.27; 95% CI: 0.10-0.71; P=0.008) than that in the control groups. Our subgroup analysis of the effects of DF showed that LGI diets with an increased level of DF, relative to the control diet, reduced the risk of macrosomia beyond that of the LGI diets alone (RR: 0.17 vs 0.47, respectively). The subgroup analysis also showed that LGI diets in which the level of DF was approximately equivalent to that in the control diets significantly reduced the risk of insulin usage (RR=0.69; 95% CI: 0.52-0.92; P=0.01). The LGI diets reduced the risk of macrosomia in GDM patients, and LGI diets with added DF reduced the risk of macrosomia further. The LGI diets with levels of DF approximately equivalent to that in the control diets reduced the risk of insulin usage in GDM patients. © 2016 Wolters Kluwer Health, Inc.


Wu X.-H.,Fudan University | Qian C.,Fudan University | Yuan K.,Changzhou Second Peoples Hospital
Chinese Medical Journal | Year: 2011

Background Hypoxia-inducible factor (HIF) may play an important role in the process of tumorigenesis as well as tumor progression. The aim of this study was to compare the expression between HIF-1α and HIF-2α in tumor angiogenesis and the overall impact on patient prognosis in human non-small cell lung cancer (NSCLC). Methods In the current work we compared the immunohistochemical expression of HIF-1α and HIF-2α in surgical specimens of 140 patients with NSCLC in a tissue microarray study. Relationships between HIF-α expression and clinicopathological or angiogenic factors, including prognosis, were analyzed. Results High HIF-1α and HIF-2α expression was noted in 49/140 (35.0%) and in 64/140 (45.7%) of the cases, respectively. There was no direct correlation between HIF-1α and HIF-2α expression. Patients with advanced stage tumors had frequent high expression of HIF-2α (P=0.007), and we also found a significant correlation between HIF-2α and T or N stage (P=0.030 and 0.043, respectively). HIF-1α showed a marginal association with T stage (P=0.084), which showed a higher expression in early stage tumors. A significant correlation (P=0.045) was noticed between HIF-1α and vascular endothelial growth factor (VEGF) expression while the expression levels of thymidine phosphorylase (TP), cyclooxygenase (COX)-2 and microvessel density (MVD) were significantly higher in high HIF-2α tumors (P=0.020, 0.004, and 0.046, respectively). In addition, univariate analysis of overall survival demonstrated that HIF-2α expression, but not HIF-1α, was related to poor outcome (P=0.001) and it retained significant in multivariate analysis (P=0.036). Conclusions Taken together, we conclude that HIF-1α and HIF-2α may differentially regulate the major angiogenic factors in different stages of the tumor process in NSCLC. HIF-2α may play a dominant role in tumor angiogenesis and appears to be of obvious value as a significant prognostic factor in NSCLC.


Wei J.,Changzhou Second Peoples Hospital | Li X.,Changzhou Second Peoples Hospital | Gao J.,Changzhou Second Peoples Hospital
International Journal of Clinical and Experimental Medicine | Year: 2015

Glucose intolerance during pregnancy is defined as gestational diabetes mellitus (GDM). 95 women after 1 year birth were divided into GDM (n = 22), GIGT (gestational impaired glucose tolerance, n = 41) and NGT (normal, n = 32) groups. The GIGT group was subdivided into GIGT1 (abnormal blood glucose in 1 h, n = 11), GIGT2 (in 2 h, n = 18) and GIGT3 (in 3 h, n = 12) after oral glucose tolerance tests (OGTT). Compared with GIGT and NGT groups, GDM group showed higher FBG, 75 g OGTT 2 h BG, HOMA-IR, BMI, TCH, TG and LDL-C levels, while lower IFI. GIGT group had higher 75 g OGTT 2 h BG and BMI than NGT. IFI level was the lowest, while HOMA-IR the highest in GIGT1 subgroup. GDM women are more susceptible to impaired insulin secretion, insulin tolerance and dyslipidemia. Women in GIGT1 subgroup may tend to developing DM. © 2015 E-Century Publishing Corporation. All rights reserved.


Wei J.,Changzhou Second Peoples Hospital | Cheng J.,Changzhou Second Peoples Hospital
Pakistan Journal of Medical Sciences | Year: 2014

Objective: To evaluate correlations between insulin secretion and resistance in patients with gestational diabetes mellitus (GDM) and gestational impaired glucose tolerance (GIGT). Methods: Three hundred thirty six pregnant women with an oral glucose tolerance test (OGTT) were tested and measured insulin function indices (IFI), insulin resistance indices (HOMA-IR) as well as blood serum triglycerides (TG), total cholesterol (TCH) and low density lipoprotein cholesterol (LDL-C) concentrations. GIGT patients were further divided into subgroups according to hyperglycemia appearance 1, 2 or 3 hours after glucose ingestion. Results: GDM and GIGT correlated with age (p<0.05), family history of diabetes (p<0.05) and pre-pregnancy body mass indices (BMIs) (p<0.05). Blood pressures were higher in GDM than in GIGT and normal glucose tolerance (NGT) patients (p<0.05). The IFIs were gradually reduced (p<0.05), whereas HOMA-IR was gradually enhanced (p<0.05) in the GIGT and GDM patients. Blood serum TG, TCH and LDL-C concentrations were higher in the GIGT and GDM groups (p<0.05) and the GIGT 1 hour hyperglycemia subgroup had highest pregnancy weight gain and HOMA-IR values (p<0.05). Conclusions: Advanced age, family history of diabetes, high BMIs and blood pressure were risk factors for GIGT and GDM, which were both caused by reduced insulin secretion and enhanced insulin resistance. © 2014, Professional Medical Publications. All rights reserved.


PubMed | Changzhou Second Peoples Hospital
Type: Journal Article | Journal: Medicine | Year: 2016

Studies of the effects of low glycemic index (LGI) diets on gestational diabetes mellitus (GDM) have reported conflicting findings.The aim of the study was to evaluate the results of randomized controlled trials (RCTs) that investigated the effects of LGI diets with and without added dietary fiber (DF) on maternal and neonatal outcomes in GDM patients.We searched the MEDLINE, EMBASE, EBSCO, Springer, Ovid, and Cochrane Library databases for studies of the effects of LGI diets in GDM patients. We performed a meta-analysis of the effects of the LGI diets with and without added dietary fiber (DF) on GDM outcomes. Risk ratios (RR) and 95% confidence intervals (CIs) were calculated using random- and fixed-effects models.Five RCTs involving 302 participants were included in our meta-analysis. No statistically significant differences in the risks of cesarean section delivery, large for gestational age, and small for gestational age were observed. The risk of macrosomia in the LGI groups was significantly lower (RR=0.27; 95% CI: 0.10-0.71; P=0.008) than that in the control groups. Our subgroup analysis of the effects of DF showed that LGI diets with an increased level of DF, relative to the control diet, reduced the risk of macrosomia beyond that of the LGI diets alone (RR: 0.17 vs 0.47, respectively). The subgroup analysis also showed that LGI diets in which the level of DF was approximately equivalent to that in the control diets significantly reduced the risk of insulin usage (RR=0.69; 95% CI: 0.52-0.92; P=0.01).The LGI diets reduced the risk of macrosomia in GDM patients, and LGI diets with added DF reduced the risk of macrosomia further. The LGI diets with levels of DF approximately equivalent to that in the control diets reduced the risk of insulin usage in GDM patients.

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