BACKGROUND: Both hydroxyapatite (HA) and large diameter TiO2 nanotubes have excellent biocompatibility, but bone-forming ability of nano-HA (nHA) deposited large diameter TiO2 nanotubes is rarely reported.OBJECTIVE: To evaluate the bone-forming ability of nHA/large-diameter TiO2 nanotube composite coating.METHODS: Large-diameter TiO2 nanotubes were prepared by anodic oxidation method, and then nHA was electrochemically deposited on the surface of TiO2 nanotubes. Preosteoblasts MC3T3-E1 were co-cultured with the nHA/large diameter TiO2 nanotube composite, pure titanium and TiO2 nanotube coatings, respectively. At 0.5, 1, 2 hours after culture, the initial cell adhesion was observed. At 1, 3, 5 day after culture, cell proliferation was assessed. At 2 days after culture, cell morphology was observed. At 3 and 7 days after osteogenic induction, intracellular alkaline phosphatase activity was detected. At 14 days after osteogenic induction, mineralization of extracellular matrix was detected.RESULTS AND CONCLUSION: (1) After 2 hours of culture, the number of adherent cells on the composite coating was significantly lower than that on the TiO2 nanotube coating (P < 0.05), but slightly higher than that on the pure titanium coating with no statistical difference. (2) After 1, 3, 5 days of culture, the cell proliferation on the composite coating was significantly lower than that on the TiO2 nanotube coating (P < 0.05), but slightly higher than that on the pure titanium with no statistical difference. (3) The cells on the pure titanium showed a spindle-shape, while those on the TiO2 nanotube coating processed filopodia. The cells on the composite coating showed polygonal shape with a larger number of filopodia. (4) The intracellular alkaline phosphatase activity of the composite coating group was significantly higher than that of the pure titanium group and TiO2 nanotube group. The trend of mineralization of extracellular matrix was ranked from high to low: the composite coating group > TiO2 nanotube group > pure titanium group. To conclude, the nHA/large diameter TiO2 nanotube composite coating not only has good biocompatibility, but also has the ideal ability to promote bone formation.

Objective To investigate the effects of transient receptor potential cation channel 6 (TRPC6) on the expression of nephrin, desmin and caspase 9 and on the apoptosis of podocytes in a mouse model of podocyte injury induced by TGF-β1.Methods Conditionally immortalized mouse podocytes were cultured in vitro and divided into four groups: control, TGF-β1 treatment, TGF-β1+PGPU6/GFP/Neo-TRPC6-mus-581 (TRPC6 knockdown) and TGF-β1+PGPU6/GFP/Neo-NC (negative control).Real-time RT-PCR and Western blot analysis were performed to detect the expression of nephrin, desmin and caspase 9 at mRNA and protein levels, respectively.Flow cytometry was used to analyze the apoptotic rate of podocytes.DAPI fluorescent staining was used to observe the morphological changes of apoptotic podocytes.Results Green fluorescent protein (GFP)-expressing podocytes at 48 hours after transfection were significantly more than those at 24 hours after transfection.The level of TRPC6 in mouse podocytes transfected with PGPU6/GFP/Neo-TRPC6-mus-581 was significantly decreased as compared with that of the control group (P<0.05).No significant difference in the expression of TRPC6 was observed between the negative control group and the control group.Compared with the control group, the TGF-β1 treatment group showed increased expression of desmin and caspase 9 at both mRNA and protein levels (P<0.01), but decreased expression of nephrin at mRNA and protein levels at 48 hours after TGF-β1 intervention (P<0.05).The up-regulated desmin and caspase 9 and the down-regulated nephrin induced by TGF-β1 could be inhibited by the means of TRPC6 knockdown.The apoptosis rate of podocytes in TGF-β1 treatment group was (14.0±2.1)%, while that in TRPC6 knockdown was (10.90±0.56)% (P<0.05).The apoptosis rate of podocytes in negative control group was higher than that in TGF-β1 treatment group (P>0.05).More apoptotic cells with typical morphological features of apoptosis were observed after exposure to TGF-β1 for 48 hours.Conclusion TGF-β1 could induce the apoptosis of podocytes, inhibit the expression of nephrin and enhance the expression of caspase 9 and desmin, the possible mechanisms of which may be related to TRPC6 signal pathway.These changes in TGF-β1-treated podocytes could be alleviated by inhibiting the expression of TRPC6, which might have a protective effect on podocyte injury.

OBJECTIVETo investigate the association between rs185983011 single-nucleotide polymorphisms (SNP) of apolipoprotein B mRNA editing enzyme catalytic polypeptide-like 3G (APOBEC3G) and the susceptibility to chronic hepatitis B.

METHODSThe blood samples were collected from 186 healthy subjects and 159 patients with chronic hepatitis B. The rs185983011 SNP was detected and genotyped by sequencing with Sanger's method to analyze the relationship between rs185983011 SNP and chronic hepatitis B.

RESULTSOnly C/C and C/T genotypes of the alleles of rs185983011 SNP were found in the tested subjects, and the C/C genotype was predominant (97.7%). The distribution frequencies of rs185983011 SNP genotypes and alleles showed no significant difference between healthy subjects and patients with chronic hepatitis B (P>0.05).

CONCLUSIONThe predominant genotype of rs185983011 SNP of APOBEC3G is C/C in the tested subjects, and rs185983011 SNP does not appear to associate with the susceptibility to chronic hepatitis B.

APOBEC-3G Deaminase ; Adult ; Alleles ; Case-Control Studies ; Cytidine Deaminase ; genetics ; Female ; Genetic Predisposition to Disease ; Genotype ; Hepatitis B, Chronic ; genetics ; Humans ; Male ; Polymorphism, Single Nucleotide ; Young Adult

Objective To investigate the value of texture analysis based on MR ADC map of prostate in differentiating between low?grade and high?grade prostate cancer (PCa). Methods PCa confirmed by pathology after radical prostatectomy were analyzed retrospectively, all patients underwent multiparametric MRI before radical prostatectomy, including T1WI,T2WI and DWI. On the ADC map, ROI was drawn manually to encompass the whole tumor by ITK?SNAP software. The python?based pyradiomics package was used to extract 105 texture features. The intraclass correlation coefficient was used to evaluate the repeatability of the texture features. The independent sample t test or Mann?Whitney U test was used to exclude features that had no significant difference between low grade and high grade PCa. Lasso regression model and 5 fold cross validation method were used to obtain texture feature combination of the highest performance and develop a classification modelfor discriminating low from high grade PCa. ROC curve was used to evaluate the diagnostic efficiency of the model. Result Ninety patients with PCa confirmed by pathology after radical prostatectomywere analyzed retrospectively,including 36 patients with low?level PCa (GS≤3+4) and 54 patients with high?level PCa (GS≥4+3). The area under curve of the model was 0.841, with sensitivity 69.6% and specificity 91.2%, which was significantly higher than single texture feature or traditional mean ADC value. Conclusion Texture analysis based on MRI?ADC map of prostate could be used to discriminate low grade PCa from high grade PCa.

Objective To establish a simple model for arteriosclerosis(AS)screening to provide a viable tool for the timely identification of AS risk among residents aged 40～65 years.Methods Data were obtained from the Sleep and Chronic Diseases Program in Fuquan City.The original dataset was divided into a training subset and a validation subset(80%:20%).LASSO and logistic regression models were used to screen variables,perform multivariate regression analyses.Internal validation was performed using the Bootstrap method.Nomogram Plot was constructed,and risk score thresholds were determined based on ROC curves to classify high-risk populations.Results RS Model was established to include age,gender,napping,sleep efficiency,sleep disorders,hyperten-sion and diabetes,with AUC=74.80%and a model risk score threshold=84.20.PHC Model was established to include age,gender,napping,sleep efficiency,systolic blood pressure,fasting blood glucose,and pulse variables,with AUC=82.80%and a risk score threshold of 78.00.Decision curves showed that both models performed well in terms of calibration and actual benefits for health management.Conclusion The two AS screening models exhibit acceptable accuracy and differentiation.Therefore,it can be applied in residents'self-health management and in primary care organizations'screening work in a large scale.

Objective:To analyze the association between body health score and the risk of hypertension among health examination population aged 40-65 years.Methods:This study was a cross-sectional study, and 1 104 people aged 40-65 years who underwent physical examination at the Physical Examination Centre of the First People′s Hospital of Fuquan City from March to November 2022 were selected. Clinical data, such as general information, physical examination, body composition and history of hypertension diseases, were collected. The body health score was reported by the Xiaomi Body Fat Scale′s accompanying exercise health software, and was calculated by combining body fat, water and other body composition data. The association between body health score and the risk of hypertension was analyzed using restricted cubic spline regression models, while a sensitivity analysis and sex-stratified analyses were performed. Multivariate logistic regression combined with stratified analysis was used to explore the association between dimensions of body composition and the risk of hypertension.Results:The body health score was significantly lower in hypertensive patients than in non-hypertensive patients among the 1 104 health examination population [52.0(30.0) vs 69.0(35.8) points] ( Z=-8.547, P<0.001). The lower the body health score, the higher the risk of hypertension ( χ2=18.48, PNonlinear<0.001). In the total population, high body mass index was associated with an increased risk of hypertension ( OR=1.744, 95% CI: 1.104-2.765), high protein content was associated with a reduced risk of hypertension ( OR=0.587, 95% CI: 0.344-0.982) (both P<0.05). Gender-stratified analyses showed that high protein content was associated with a reduced risk of hypertension only in men ( OR=0.233, 95% CI: 0.080-0.592) ( P=0.004). High body mass index was positively associated with the risk of hypertension when the body health score was ≥60 points ( OR=2.378, 95% CI: 1.255-4.542) ( P=0.008). High visceral adiposity index (VAI) was positively associated with the risk of hypertension when the body health score was <60 points ( OR=4.395, 95% CI: 1.466-13.620), and high protein content was negatively associated with the risk of hypertension ( OR=0.255, 95% CI: 0.091-0.638) (all P<0.05). Conclusions:Health examination population aged 40-65 years with lower scores of physical health are more likely to have a risk of hypertension. Men should pay attention to the impact of body protein in hypertension risk prevention and control. The effect of body mass index should be noted when body health scores are ≥60 points, and the effect of VAI and body protein should be considered when body health scores are <60 points.

Objective: To investigate the value of texture analysis based on MR ADC map of prostate in differentiating between low-grade and high-grade prostate cancer (PCa). Methods: PCa confirmed by pathology after radical prostatectomy were analyzed retrospectively, all patients underwent multiparametric MRI before radical prostatectomy, including T₁WI,T₂WI and DWI. On the ADC map, ROI was drawn manually to encompass the whole tumor by ITK-SNAP software. The python-based pyradiomics package was used to extract 105 texture features. The intraclass correlation coefficient was used to evaluate the repeatability of the texture features. The independent sample t test or Mann-Whitney U test was used to exclude features that had no significant difference between low grade and high grade PCa. Lasso regression model and 5 fold cross validation method were used to obtain texture feature combination of the highest performance and develop a classification modelfor discriminating low from high grade PCa. ROC curve was used to evaluate the diagnostic efficiency of the model. Result: Ninety patients with PCa confirmed by pathology after radical prostatectomywere analyzed retrospectively,including 36 patients with low-level PCa (GS≤3+4) and 54 patients with high-level PCa (GS≥4+3). The area under curve of the model was 0.841, with sensitivity 69.6% and specificity 91.2%, which was significantly higher than single texture feature or traditional mean ADC value. Conclusion Texture analysis based on MRI-ADC map of prostate could be used to discriminate low grade PCa from high grade PCa.