AIM: To prepare α-tricalcium phosphate (α-TCP)/calcium polyphosphate (CPP) fiber and to study the feasibility of CPP fiber to reinforce calcium phosphate bone cement composites. METHODS: Firstly,α-TCP powder was synthesized using chemical sediment method. Secondly, the α-TCP was mixed with CPP fiber according to different contents and lengths. Finally, bone cement was tempered with firming agent. Solidification time and mechanical property of the samples were measured. Microstructure of hardened sample was observed with scanning electron microscope. RESULTS: When the amount of CPP fibers was 10% and the length was 2 mm, the compressive strength reached 62.5 MPa and the rupture strength reached 12.4 MPa. Scanning electron microscope suggested that CPP fibers with great associativity were well distributed in bone cement. After immersing in Ringer fluid for two months, the CPP fibers did not biodegrade obviously and still had certain function to increase strength and toughness. CONCLUSION: To a certain extent, the CPP fiber can increase strength and toughness of bone cement. Furthermore, α-TCP/CPP composites have good mechanical properties and biocompatibility.

BACKGROUND:When bone cement solidifies fast,the bone cement consistency will be decreased.resulting in difficulty in molding.DESIGN,TIME AND SETTING:Open experiment,performed in the Laboratory of Department of Materials,Lanzhou Jiaotong University between March 2005 and August 2006.gelatin were mixed with citric acid to produce hardening liquid.Then bone cement power and hardening liquid were mixed to form a paste,I.e.,bone cement.METHODS:Setting time of bone cement was determined using a Vicat apparatus.The compressive strength of bone cement at different proportions was tested using MTS-810 material tester.After 2 months of physiological saline soaking at 37℃.the microstructure of solidified bone cement was observed using scanning electron microscope.MAIN OUTCOME MEASURES:Setting time and compressive strength of bone cement,pH value of hydrated bone cement and the microstructure.RESULTS:After adding chitosan and gelatin in the hardening liquid.the consistency of the concoction obviously increased,the setting time became a little longer and the water-resistance of samples was enhanced.therefore the samples could be easily molded.But the compressive strength of the bone cement decreased a little.The pH value of the hydrated bone cement increased gradually with time and was close to the pH value of physiological saline at hour 24.The compressive strength of bone cement was achieyed at 24 hours and it almost did not change after 48 hours.the drawback of ceramic HA,including sintering and difficulties in shaping.It has the characteristics of simple-producing,easy application and low heat energy.

Aim To test the skin healing and repairing efficacy and the mechanism of Hibiscus rosa-sinensis L bud extract by using the animal models. Methods KM mice were randomly divided into three groups:the model group, the positive control group, and the n-bu-tyl alcohol extract ( HrBN) group. Using the boils and carbuncles model, the healing condition of all the animals were observed. KM mice were kept in the SPF condition room and divided into five groups: the model group, the positive control group, and the low, middle, high dose groups. Using the full-thickness loss model, the repairing results of all the mice were ob-served. Through the antimicrobial test, the results of MIC and inhibition zone were obtained. The carbon clearance test was used to collect the blood at the time 5min and 15min, and get the liver and spleen, and the results of K andαwere obtained. Results In vivo ex-periments showed there was significant difference be-tween groups;the HrBN extract had the outstanding ef-ficacy in healing and repairing skin boils and full-thickness loss models. It had higher recovery rate than other ethanol extract, such as ethyl acetate extract and chloroform extract. In vitro experiments showed that the HrBN extract, ethyl acetate extract ( HrBE) ,AB-8 macroporous resin 30% alcohol part and 60% alcohol part had obvious antimicrobial efficacy. The carbon clearance test showed HrBN had a good effect in im-proving immune function, and it can increase the K and α. Conclusion HrBN in animal models exerts good skin healing and repairing efficacy, which might be related to its antibacterial activity and immunologic enhancement function.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

The integration of regional medical centers and community health service centers is an effective way to improve the professional ability of general practitioners in post-practice training. Its major advantage lies in the establishment of a regional general practitioner ability improvement system integrating assessment, practice and teaching under the unified health administrative department. This article introduces the path of general practitioner post-training developed by Shanghai Tongren Hospital in forms of a regional medical center combined with the community health service center under the "integrated dual-drives" model, which was carried out in Shanghai Changning District; and its preliminary accomplishment is also discussed. It may provide reference for regional medical centers to improve the ability of general practitioners through practice-driven and teaching-driven.

Objective:To analyze the clinical knowledge and training needs of general practitioners from subjective perception and objective assessment, and to analyze their relationship.Methods:A survey was conducted among general practitioners from community health service centers in Shanghai Changning district from September to December 2020. Based on the general practitioner competency indicator system designed by the project team, 17 clinical knowledge competency evaluation indicators were developed through expert consultation, and used for subjective perception and objective assessment of clinical knowledge and learning needs among general practitioners. The influencing factors of objective assessment scores were analyzed, and the relationship between subjective perception and objective assessment scores was analyzed using the four quadrant method.Results:A total of 136 general practitioners participated in the study with the mean age of (39.25±5.90) years, most of whom were attending physician (67.65%, 92/136) and had undergraduate education (88.20%, 122/136). The average daily application frequency score was (1.55±0.21), and the training needs score was (1.65±0.09) for 17 clinical knowledge items; the average objective evaluation score was (74.21±14.0) points. The older the age ( OR=1.25, 95% CI:1.14-1.37), the higher the educational level ( OR=2.11, 95% CI:1.57-2.83), and the longer the working years ( OR=1.16, 95% CI:1.04-1.30) were significantly correlated with the higher objective evaluation scores (all P<0.05). The objective evaluation scores of endocrine diseases such as diabetes, cerebrovascular diseases and respiratory diseases are the highest, and the daily application frequency and learning needs are high (the first quadrant); The objective evaluation scores of common orthopedic diseases, common psychological diseases, and planned immunity indicators were relatively low, but their daily application frequency and learning needs were relatively high (second quadrant). The objective evaluation scores of indicators such as common malignant tumors, common dermatology diseases and health problems, and common ENT diseases were low, and the daily application frequency and learning needs were also low (the third quadrant). The objective evaluation scores of indicators such as hospice and palliative care are relatively high, but their daily application frequency and training needs are relatively low (listed in the fourth quadrant). Conclusions:The clinical knowledge levels of general practitioners are correlated with age, education level, and years of practice. There is a certain overlap between the objective evaluation results of clinical knowledge and the frequency of knowledge usage and training needs of general practitioners, and a targeted training mechanism should be established.

Objective:To explore the correlation between socioeconomic status (SES) and diabetic kidney disease (DKD) in patients with type 2 diabetes (T2D).Methods:A total of 276 T2D patients admitted to the Second Affiliated Hospital of Nanjing Medical University from January to June 2020 were enrolled in this cross-sectional study. The estimated glomerular filtration rate (eGFR) was calculated according to the urinary albumin/creatinine ratio (UACR) and the chronic kidney disease epidemiology collaboration equation(CKD-EPI formula) based on serum creatinine. The patients were divided into simple T2D group (184 cases) and DKD group (92 cases). Collect demographic and laboratory examination data, record education, income and occupation, and calculate standardized SES scores. According to SES scores, subjects were divided in three levels: SES≤9, SES≥10-≤12, and SES≥13. Student's t test was used for comparison of measurement data with normal distribution between two groups, and one-way ANOVA was used for comparison between multiple groups. Non-normal distribution was represented by M( Q1, Q3), and rank-sum test was used for comparison between groups. Counting data were expressed as frequency or percentage, and chi-square test was used for comparison between groups. Bofferoni test was further used for pairwise comparison of indicators with statistical significance among multiple groups. Spearman correlation analysis was used to analyze the correlation between variables. The risk factors were analyzed by binary Logistic regression. Results:The age of the subjects was (53.37±10.68) years, men accounted for 55.8% (154/276), the duration of diabetes was 60.00 (12.00, 134.00) months, and eGFR was (97.56±21.15) mL/(min·1.73 m 2). In simple T2D group and DKD group, prevalence of hypertension were 39.7% (73/184) and 57.6% (53/92), systolic blood pressure were (129.43±14.92) mmHg and (139.29±17.61) mmHg, diastolic blood pressure were (81.86±10.06) mmHg and (87.74±11.19) mmHg, serum albumin were (45.74±4.15) g/L and (43.99±5.05) g/L, triglycerides were (1.82±1.24) mmol/L and (2.64±2.92) mmol/L, high density lipoprotein cholesterol were (1.17±0.37) mmol/L and (1.07±0.26) mmol/L, serum uric acid were (298.44±90.73) μmol/L and (336.22±94.01) μmol/L, serum creatinine were (62.83±14.45) μmol/L and (87.75±57.37) μmol/L, eGFR were (102.6±14.28) mL/(min·1.73 m 2) and (87.47±28.04) mL/(min·1.73 m 2), UACR were (7.60 (4.63, 13.15)) mg/g and (93.95 (47.25, 310.25)) mg/g. Prevalence of hypertension, systolic blood pressure, diastolic blood pressure, triglycerides, serum uric acid, serum creatinine, UACR in DKD group were higher than those in simple T2D group. Serum albumin, high density lipoprotein cholesterol and eGFR in DKD group were lower than those in simple T2D group. There was significant difference between the two groups ( χ2=7.95, t values were 4.87, 4.40, 3.04, 3.26, 2.30, 3.22, 5.56, 5.95, Z=13.07, P values were 0.005, <0.001, <0.001, 0.003, 0.001, 0.022, 0.001, <0.001, <0.001, and <0.001, respectively). The number of males in the three groups with SES ≥13 group, SES≥10-≤12 group, SES ≤9 group were 61 (81.3%, 61/75), 55 (59.8%, 55/92), 38 (34.9%, 38/109), respectively. The number of cases with smoking history were 42 (56.0%, 42/75), 41 (44.6%, 41/92), 35 (32.1%, 35/109), respectively. The number of cases with drinking history were 38 (50.7%, 38/75), 32 (34.8%, 32/92), 26 (23.9%, 26/109), respectively. The ages were (47.77±10.76), (52.76±11.22), (57.74±7.96) years old, respectively. Body mass index (BMI) were (26.17±3.87), (24.96±3.93), (24.27±4.89) kg/m 2, respectively. High density lipoprotein cholesterol (HDL) were (1.03±1.03), (1.16±0.41), (1.21±0.32) mmol/L, respectively. Serum uric acid were (336.56±82.05), (293.78±94.78), (307.99±96.53) μmol/L, respectively. EGFR were (105.03±19.72), (99.77±19.44), (90.57±21.49) mL/(min·1.73 m 2),respectively.The difference between groups were statistically significant (χ 2=39.79, 10.55, 14.08, F=22.69, 4.03, 6.20, 4.53, 12.02, P values were <0.001, 0.005, 0.001, <0.001, 0.019, 0.002, 0.012, and <0.001, respectively). Pairwise comparison shows that male and eGFR in SES ≤9 group were lower than those in SES ≥13 group and SES≥10-≤12 group, age in SES ≤9 group was higher than that in SES ≥13 group and SES≥10-≤12 group. The difference was statistically significant (all P<0.05). Smoking history, alcohol history and BMI in SES ≤9 group were lower than those in SES ≥13 group, and the high density lipoprotein cholesterol in SES ≤9 were higher than that in SES ≥13 group. The difference was statistically significant (all P<0.05). Male, alcohol history and serum uric acid in SES≥10-≤12 group were lower than those in SES ≥13 group, and age and high density lipoprotein cholesterol in SES≥10-≤12 group were higher than those in SES ≥13 group. The difference was statistically significant (all P<0.05). Spearman correlation analysis showed that SES in T2D was positively correlated with male, smoking history, alcohol history, BMI, serum uric acid and eGFR ( r values were 0.38, 0.20, 0.24, 0.16, 0.13 and 0.31, P values were <0.001, 0.001, <0.001, 0.008, 0.028, and <0.001, respectively), and negatively correlated with age, high density lipoprotein cholesterol and UACR ( r values were -0.35, -0.24 and -0.14, P values were <0.001, <0.001, and 0.017, respectively). Logistic regression analysis showed that SES (OR=2.71,95% CI:1.10-6.68, P=0.031) was associated with T2DM combined with DKD. The risk of developing DKD increased when the SES was ≤9. Conclusion:The SES in patients with type 2 diabetes is closely related to DKD. Low SES may be a new risk factor for DKD in type 2 diabetic patients.