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Tubulointerstitial fibrosis (TIF) plays an important role in the progression of renal fibrosis in diabetic nephropathy (DN). Accumulating evidence supports a crucial inhibitory effect of dapagliflozin, a SGLT2 inhibitor, on TIF, but the underlying mechanisms remain largely unknown. This study aimed to shed light on the efficacy of dapagliflozin in reducing TIF as well as its possible impact on renal function. TIF in human kidney biopsies obtained from patients with DN was quantified by histopathological staining. In vitro, HK-2 cells were incubated in high glucose with dapagliflozin or fludarabine, and epithelial-mesenchymal transition (EMT) was determined. In vivo experiments were performed in streptozotocin (STZ)-induced type 1 diabetic mice treated with dapagliflozin by gavage for 16 weeks, after which specific functional characteristics and TIF were analyzed. In both DN patients and diabetic mice, fibronectin and Col IV, as well as STAT1 protein in the kidneys were increased as compared with controls. Dapagliflozin significantly decreased blood glucose, and renal STAT1 and TGF-beta 1 expression in mice. Furthermore, dapagliflozin improved renal function, and attenuated diabetes-induced TIE In HK-2 cells, dapagliflozin, and fludarabine directly decreased aberrant STAT1 expression and reversed high glucose-induced downregulation of E-cadherin and a-SMA induction. Thus, the results demonstrate that dapagliflozin not only improves hyperglycemia but also slows down the progression of diabetes-associated renal TIF by improving hyperglycemia-induced activation of the STAT1/TGF-beta 1 pathway.

To investigate the correlations between SIRT1 gene polymorphisms and diabetic kidney disease (DKD). There were 150 patients with DKD in the observation group (urinary albumin excretion rate (UAER) ≥ 300 mg 24 h −1 ), and 160 patients with a more than 10 year history of type 2 diabetes but without retinopathy and DKD (UAER −1 ) in the control group. Genotypes of three tagged single-nucleotide polymorphism loci (rs3818292, rs4746720 and rs10823108) in the SIRT1 gene in the two groups were detected. Risks of DKD for patients with the GG and GG + AG genotype in the rs10823108 locus of the SIRT1 gene were 2.96 and 2.92 times higher than that for AA genotype carriers, respectively. The risk of DKD for patients with the GG genotype in the rs3818292 locus was 0.23 times and 0.21 times higher than that for AA and for AA + AG genotype carriers, respectively, and the risk of DKD for patients with allele G was 0.66 times higher than that for allele A carriers. There was no significant difference in genotype frequency of rs4746720 locus gene polymorphisms between the observation and control groups. The SIRT1 gene is a genetic susceptibility gene of DKD. Mutation genotype GG and GG + AG in the rs10823108 locus can increase the risk of DKD. Mutation genotype GG and allele G in the rs3818292 locus can decrease the risk of DKD.

AIMS: To explore the risk factors of nocturia in Chinese inhabitants aged >/=40 years. METHODS: A randomized, community-based, cross-sectional study was performed on 10,160 inhabitants >/=40 years old in mainland China, via a stratified sampling approach. A questionnaire, including socio-demographics, lifestyle factors and medical history, was completed. Nocturia was defined as a threshold of two or more voids per night. Differences in prevalence between age and gender groups were ascertained by the chi-squared test. Gender-related factors were evaluated by multivariate logistic regression analysis. P /=40 years, nocturia is associated with aging, OABSS, cardiovascular disease, hypertension, and DM. Sporting activities are negatively associated with nocturia.

When a vehicle is running, its measured speed can reflect the operation status of the vehicle sufficiently. In practice, therefore, it is very important to estimate the speed. In this paper, FPGA is used to realize full hardware vehicle speed estimator. The longitudinal velocity of the vehicle can be achieved by a Kalman estimator, which is described by Verilog language. The output data from the eight degrees of freedom vehicle model are regarded as input data of the function simulation in ModelSim. The single precision floating-point binary number is adopted to expand the data range and improve data accuracy. The curves related to the actual speed and estimated speed are analyzed in Matlab, and various performance indicators of the estimator can be checked.