Objective To investigate the effects of Erlong Zuoci Pills on AQP4 expression in cochlear tissue of mice with elderly kidney deficiency deafness;To discuss the action mechanism. Methods Intraperitoneal injection of hydrocortisone method was used to duplicate mice models with kidney deficiency except the normal control group. After the models were established, mice were divided into model group and TCM group, 16 mice in each group. TCM group was gavaged by Erlong Zuoci Pills, model group and normal control group were gavaged by normal saline for 22 d. Cochlear stretched preparation technology was used to observe morphological changes in cochlear inner and outer hair cells, and supporting cells. Immunohistochemistry and Western bolt were used to detect protein expression of AQP4. Results Compared with normal control group, mice in model group missed inner and outer hair cells and supporting cells of the cochlea. Compared with model group, arrangement of cochlear inner and outer hair cells and supporting cells was neat and boundary was clear in TCM group. Compared with model group, protein expression of AQP4 in cochlear tissues in TCM group increased (P<0.01). There was no difference between TCM group and normal control group. Conclusion Erlong Zuoci Pills have significant therapeutic effect for elderly kidney deficiency deafness, and the treatment is related to the upregulation of protein expression of AQP4 in cochlear tissues.

OBJECTIVETo establish a blood glucose fluctuation model in diabetic rats.

METHODSMale SD rats were randomly divided into 2 groups, namely normal group and diabetes group. Rat model of diabetes was established by single intraperitoneal injection of streptozotocin (STZ) and then divided into sustained high blood glucose group and blood glucose fluctuation group. Rat model of blood glucose fluctuation was established by subcutaneous injection with regular insulin or gavaging of glucose twice daily in diabetic rats. The general condition, body weight, daily blood glucose levels of 5 different times, daily average blood glucose (MBG), standard deviation of daily average blood glucose (SDBG), the maximum amplitude of glycemic excursions (LAGE), fasting serum insulin (FINS) and pancreatic tissue pathology were observed.

RESULTSRats in blood glucose fluctuation group and sustained high blood glucose group developed symptoms of polyphagia, polyuria and polydipsia. Though significant differences in body weight were observed at different time (P<0.01), no significant differences were found among the three groups (P>0.05). After 6 weeks of blood glucose fluctuation, MBG, SDBG and LAGE in blood glucose fluctuation group and sustained high blood glucose group were increased significantly than those in normal group (P<0.01), the level of FINS decreased markedly (P<0.05). SDBG and LAGE in blood glucose fluctuation group were higher than those in sustained high blood glucose group (P<0.01). Islet of diabetic rat became atrophy, irregular shape, sparse distribution, and decreased in number, and the changes were more obvious in blood glucose fluctuation group.

CONCLUSIONRat model of blood glucose fluctuation can be successfully established by subcutaneous injection of regular insulin of gavage of glucose twice daily in diabetic rats.

Animals ; Blood Glucose ; analysis ; Body Weight ; Diabetes Mellitus, Experimental ; Fasting ; Glucose ; administration & dosage ; Insulin ; administration & dosage ; Male ; Rats ; Rats, Sprague-Dawley ; Streptozocin

BACKGROUND: Severe liver disease (SLD), including cirrhosis and liver cancer, constitutes a major disease burden in China. We aimed to examine the association of genetic and healthy lifestyle factors with the incidence and prognosis of SLD. METHODS: The study population included 504,009 participants from the prospective China Kadoorie Biobank aged 30-79 years. The individuals were from 10 diverse areas in China without a history of cancer or liver disease at baseline. Cox regression was used to estimate adjusted hazard ratios (HRs) for incident SLD and death after SLD diagnosis associated with healthy lifestyle factors (smoking, alcohol, physical activity, and central adiposity). Additionally, the contribution of genetic risk for hepatitis B virus (HBV, assessed by genetic variants in major histocompatibility complex, class II, DP/DQ [ HLA - DP / DQ ] genes) was also estimated. RESULTS: Compared with those with 0-1 healthy lifestyle factor, participants with 2, 3, and 4 factors had 12% (HR 0.88 [95% confidence interval [CI] 0.85, 0.92]), 26% (HR 0.74 [95%CI: 0.69, 0.79]), and 44% (HR 0.56 [95%CI: 0.48, 0.65]) lower risks of SLD, respectively. Inverse associations were observed among participants with both low and high genetic risks (HR per 1-point increase 0.83 [95%CI: 0.74, 0.94] and 0.91 [95%CI: 0.82, 1.02], respectively; Pinteraction = 0.51), although with a non-significant trend among those with a high genetic risk. Inverse associations were also observed between healthy lifestyle factors and liver biomarkers regardless of the genetic risk. Despite the limited power, healthy lifestyle factors were associated with a lower risk of death after incident SLD among participants with a low genetic risk (HR 0.59 [95%CI: 0.37, 0.96]). CONCLUSIONS Lifestyle modification may be beneficial in terms of lowering the risk of SLD regardless of the genetic risk. Moreover, it is also important for improving the prognosis of SLD in individuals with a low genetic risk. Future studies are warranted to examine the impact of healthy lifestyles on SLD prognosis, particularly among individuals with a high genetic risk.
Humans ; Prospective Studies ; Incidence ; East Asian People ; Healthy Lifestyle ; Risk Factors ; Liver Neoplasms ; Prognosis ; China/epidemiology*

BACKGROUND: Several studies have reported that polygenic risk scores (PRSs) can enhance risk prediction of coronary artery disease (CAD) in European populations. However, research on this topic is far from sufficient in non-European countries, including China. We aimed to evaluate the potential of PRS for predicting CAD for primary prevention in the Chinese population. METHODS: Participants with genome-wide genotypic data from the China Kadoorie Biobank were divided into training ( n = 28,490) and testing sets ( n = 72,150). Ten previously developed PRSs were evaluated, and new ones were developed using clumping and thresholding or LDpred method. The PRS showing the strongest association with CAD in the training set was selected to further evaluate its effects on improving the traditional CAD risk-prediction model in the testing set. Genetic risk was computed by summing the product of the weights and allele dosages across genome-wide single-nucleotide polymorphisms. Prediction of the 10-year first CAD events was assessed using hazard ratios (HRs) and measures of model discrimination, calibration, and net reclassification improvement (NRI). Hard CAD (nonfatal I21-I23 and fatal I20-I25) and soft CAD (all fatal or nonfatal I20-I25) were analyzed separately. RESULTS: In the testing set, 1214 hard and 7201 soft CAD cases were documented during a mean follow-up of 11.2 years. The HR per standard deviation of the optimal PRS was 1.26 (95% CI:1.19-1.33) for hard CAD. Based on a traditional CAD risk prediction model containing only non-laboratory-based information, the addition of PRS for hard CAD increased Harrell's C index by 0.001 (-0.001 to 0.003) in women and 0.003 (0.001 to 0.005) in men. Among the different high-risk thresholds ranging from 1% to 10%, the highest categorical NRI was 3.2% (95% CI: 0.4-6.0%) at a high-risk threshold of 10.0% in women. The association of the PRS with soft CAD was much weaker than with hard CAD, leading to minimal or no improvement in the soft CAD model. CONCLUSIONS In this Chinese population sample, the current PRSs minimally changed risk discrimination and offered little improvement in risk stratification for soft CAD. Therefore, this may not be suitable for promoting genetic screening in the general Chinese population to improve CAD risk prediction.
Male ; Humans ; Female ; Coronary Artery Disease/genetics* ; Biological Specimen Banks ; East Asian People ; Risk Assessment/methods* ; Genetic Predisposition to Disease/genetics* ; Risk Factors ; Genome-Wide Association Study