Objective To observe the changes of Lipids,FBS,ISI and lipoprotein lipase in obesity-related hypertensive patients and investigate the relationship of abnormal glucose and lipid with obesity-related hypertension as well as metabolic syndrome.Methods A total of 122 obesity-related hypertensive patients and 122 matched normal individuals were enrolled.Blood pressure,BMI,WHR and serum lipids and glucose,serum and adipose tissue LPL were measured.Results The TG,FBS and INS in obesity-related hypertensive patients were significantly higher than those in normal control group(P(0.05)).Correlated analysis showed that serum LPL mass was respectively correlated with BMI(r=-0.64,P

Objective: To study the pharmacology of Zhiloushu Pills (Radix et Rhizoma Rhei, Stiff silk worm and Flos Sophorae). WTHZ]MethodsMethods: Zhiloushu Pills, clysterred into animals. Results: Zhiloushu Pills can decrease the inflammatory caused by CMC. Conclusion: Zhiloushu Pills are helpful to heal the rabbits local infection caused by staphylococcus aureus. They can also shorten the blood coagulation time and have the function of invigorating the circulation of blood and removing the stasis of blood against stasis animals.

Orthopaedic implant technology is heavily based on the development and use of biomaterials. These are non-living materials (e.g. metals, polymers and ceramics) that are introduced into the human body as constituents of implants that fulfill or replace some important function. Examples would be prosthetic joint replacements and fracture fixation implants. For orthopaedic biomaterials to succeed in their desired functions and outcomes in the body, a number of factors need to be considered. The most obvious mechanical properties of the implants are that they need to suit their intended function, and various classes and types of biomaterials have been developed and characterised for use in different implant components depending on their demands. Less well understood but no less important are the interactions that occur between the constituent biomaterials and the living cells and tissues, both of the human host as well as pathogens such as bacteria. Biomaterials used for orthopaedic applications are generally considered to be biocompatible. However, adverse effects arising from interactions at the implant interface can result in various modes of implant failure, such as aseptic loosening and implant infection. This review paper uses the illustrative example of total hip replacement (which has been called the operation of the century) to highlight key points in the evolution of orthopaedic biomaterials. It will also examine research strategies that seek to address some of the major problems that orthopaedic implant surgery are facing today.
Absorbable Implants ; Arthroplasty, Replacement, Hip ; instrumentation ; methods ; Biocompatible Materials ; Humans ; Orthopedic Procedures ; instrumentation ; methods ; trends ; Osteoblasts

Objective To explore the feasibility of the deep convolutional neural network (DCNN) judging the indications and prognosis of the total knee arthroplasty based on the trained DCNN computer learning system.Methods C1FAR-10 DCNN model based on TensorFlow (an open source system,Google,USA) optimized by Alex Krizhevsky were constructed.There were 400 cases with knee osteoarthritis from different databases used for analysis.Three hundred patients underwent total knee arthroplasty,while 100 did not.X-ray of 200 preoperative cases from the 400 cases and their enlarged image (50 times) were applied for training DCNN,while the enlarged images from other 200 cases were used to test the DCNN.The correlation and the regression between judgment of the DCNN and clinical truth were analyzed.The clinical truths were rechecked three times and were confirmed by treatment results.Pearson correlation and linear regression analysis were used.The relation test of the software was only used as a reference.Results There was no significant difference between the baseline of cases for learning and test.After learning 200 cases,the DCNN judged the 10 000 cases enlarged from remaining 200 cases.The correlation between the DCNN judgment and the clinical truth was not significant (r=0.000,F=0.001,P=0.970).False positive was observed in 1 681 cases,false negative in 3 296.After enlarged to 10 000 images,the correlation between the two judgments was significant (F=11 228.735,P=0.000,r=0.727 and R2=0.529).The software detection precision was 0.860.Conclusion DCNN can be applied in judging the indications of the total knee arthroplasty.Large sample size can improve the accuracy of the judgment significantly.