By systematically sorting out the theoretical origin， manipulation key points， and clinical applications of sparrow-pecking needling， it is believed that sparrow-pecking needling method involves performing small-amplitude， high-frequency lifting and thrusting of the needle tip in the original position， with heavy thrusting and light lifting， starting slowly and then becoming rapid， thus forming a characteristic needling sensation that spreads to the surroundings in a wavelike manner. The sparrow-pecking needling plays a role in stimulating the conduction of channel qi and regulating the circulation of qi and blood. Additionally， this paper summarized the clinical applications of sparrow-pecking needling in five aspects， regulating mind， regulating channel sinews， regulating zang-fu organs， regulating ying-wei （nutrient and defense qi）， and regulating yang qi， so as to provide references for inheriting and expanding the theory and clinical application of sparrow-pecking needling.

Objective To investigate the therapeutic effect and mechanism of Chaihu Guizhi Ganjiang Decoction on non-alcoholic fatty liver disease(NAFLD)rats.Methods The experiment was conducted in five groups:normal group,model group,low-and high-dose groups of Chinese medicine(Chaihu Guizhi Ganjiang Decoction)and GSK872[receptor interacting protein kinase(RIP)3 inhibitor]group.Except for the normal group,the NAFLD rat model was constructed using high-fat chow feeding method in the remaining groups,respectively.At the end of treatment,hepatocyte apoptosis was observed by terminal transferase uridyl nick end labeling(TUNEL)method,and serum levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST),lipids[total cholesterol(TC),triglycerides(TG),low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol(HDL-C)],and the levels of inflammatory factors tumor necrosis factor α(TNF-α)and interleukin 1β(IL-1β)in liver tissues were measured by enzyme-linked immunosorbent assay(ELISA);and the levels of phosphorylation of RIP1,RIP3,and mixed lineage kinase structural domain-like protein(MLKL)were detected in liver tissues by Western Blot.Results Compared with the normal group,the apoptotic index of rat hepatocytes in the model group was elevated,ALT and AST in serum were significantly elevated,TC,TG and LDL-C levels were significantly elevated,and HDL-C level was significantly reduced,and the contents of TNF-α and IL-1β as well as the phosphorylated expression levels of RIP1,RIP3 and MLKL were significantly elevated in the liver tissues(P＜0.05);compared with the model group,the apoptotic index of hepatocytes in rats in the low-and high-dose groups of Chinese medicine and GSK872 group was reduced,the serum levels of ALT and AST were significantly reduced,the levels of TC,TG and LDL-C were significantly reduced,the level of HDL-C was significantly increased,and the contents of TNF-α and IL-1β and the phosphorylated expressions of RIP1,RIP3 and MLKL in the liver tissues were significantly reduced(P＜0.05);there was no significant difference in the above-mentioned indexes between the low-dose and high-dose groups of Chinese medicine and the GSK872 group(P＞0.05).Conclusion Chaihu Guizhi Ganjiang Decoction can effectively improve NAFLD in rats,and its mechanism may be related to the inhibition of RIP1/RIP3/MLKL signaling pathway activation,which in turn inhibits necrotic apoptosis.

Objective:To investigate the effect of the virtual simulation system-based teaching method for the experimental course of oral local nerve block anesthesia in improving the effect of traditional teaching methods.Methods:One hundred and eighteen undergraduate dental students were randomly divided into two groups, the experimental group was taught using a virtual simulation-based system, and the control group was taught using traditional teaching. The results of the teaching were comprehensively evaluated through course feedback questionnaires, analysis of theoretical test scores, evaluations of the trainees administering and receiving anesthesia on the current anesthesia, and faculty evaluations of the success of the anesthesia, and t-tests and chi-square tests were performed using SPSS 23.0.Results:There was no significant difference in baseline level between the two groups. The students in the experimental group thought that the learning was more vivid ( t=4.24, P=0.005) and had more self-confidence in local anesthesia ( t=4.99, P<0.001). The students in the experimental group felt less needle tip jitter during injection ( t=2.22, P=0.048) and better contact with the medial surface of the mandible ( t=2.22, P=0.020). The students who received anesthesia reported less pain during injection ( t=1.99, P=0.029) and better anesthesia of the inferior alveolar nerve ( t=3.36, P=0.039) in the experimental group. Teacher assessment revealed that the experimental group had a significantly lower failure rate of inferior alveolar nerve block than the control group ( χ2=4.40, P=0.036). Conclusions:The virtual simulation system can optimize the experimental teaching of oral local nerve block anesthesia and can achieve a satisfactory teaching effect.

Objective To explore the clinical characteristics and treatment scheme of periprosthetic joint infection(PJI)caused by Cutibacterium avidum(C.avidum).Methods The diagnosis and treatment process of a patient with PJI caused by C.avidum was summarized,and relevant literatures in the database were retrieved for review.Results A 65-year-old female patient with body mass index(BMI)of 31.1 kg/m2 underwent left humeral head prosthesis replacement surgery following a left proximal humerus fracture.Ten months after the surgery,the pa-tient exhibited poor wound healing and oozing,along with limited movement of the left shoulder joint,and was diag-nosed infection following shoulder arthroplasty.Patient underwent debridement of the infected lesion and removal of the prosthesis.The tissue,bone cement and prosthesis were cultured for C.avidum.Four literatures were re-trieved and screened,a total of 30 patients with PJI(28 cases hip joint infection and 2 cases shoulder joint infection)caused by C.avidum were reported through literature retrieval,and 78.6％(n=22)total hip arthroplasty(THA)surgeries were performed using direct anterior approach(DAA).The positive rate of preoperative joint fluid culture was 71.4％,29 cases underwent surgical combined with sensitive antimicrobials treatment.Except for one patient who had repeated infection and underwent three surgeries,other patients had a good prognosis.Conclusion PJI caused by C.avidum is mostly seen in THA patients who are obese and undergo DAA,with a few cases reported after shoulder arthroplasty.The high sensitivity of preoperative joint fluid culture provides an important basis for the development of surgical strategies and anti-infection protocols.

With the increasing prevalence of total knee arthroplasty (TKA), there is a corresponding rise in the number of patients requiring revision of total knee arthroplasty (R-TKA) for various reasons. R-TKA presents several complex challenges, with severe bone defect reconstruction being a critical obstacle to securing favorable long-term outcomes. Recently, the approach to managing bone defects has seen significant advancements, with a range of techniques proposed contingent on the defect's size and location. Severe bone defects require reconstruction with autologous or allogeneic bone grafts or metal fillers. However, bone grafts have their usage constrained by limited availability, risks of resorption and collapse, and the potential for disease transmission. Consequently, metal fillers have received widespread attention in practical applications due to their advantages, such as comprehensive source, customizability, and safety. The advantages of metal augment are that they provide immediate support without reinforcement and are not subject to necrosis and resorptive collapse. However, the difference in elastic modulus between metal and bone may lead to stress shielding and increase the risk of potential bone loss. Both Cone and Sleeve can achieve biological fixation of metaphyseal bone; however, in cases of periprosthetic infections, it is generally difficult to remove them easily due to the prosthetic bone in-growth and osseointegration. This study aims to provide a comprehensive review of the use of metal fillers to reconstruct bone defects during R-TKA. It is intended to aid orthopedic surgeons in understanding the spectrum of reconstructive possibilities and provide high-performance revision strategies for their patients.

BACKGROUND:Hypoxia is strongly associated with the development and progression of osteoarthritic chondrocyte injury,but the specific targets and regulatory mechanisms are unclear. OBJECTIVE:A machine learning approach was used to identify KDEL(Lys-Asp-Glu-Leu)receptor 3(KDELR3)as a characteristic gene for osteoarthritis hypoxia and immune infiltration analysis,to provide new ideas and methods for the treatment of osteoarthritis. METHODS:The osteoarthritis-related datasets were downloaded from the GEO database and the GSEA website to obtain hypoxia-related genes.The osteoarthritis datasets were batch-corrected and immune infiltration analyzed using R language,and osteoarthritis hypoxia genes were extracted for differential analysis.Differentially expressed genes were analyzed for GO function and KEGG signaling pathway.Weighted correlation network analysis(WGCNA)and machine learning were also used to screen osteoarthritis hypoxia signature genes,and in vitro cellular experiments were performed to validate expression and correlate immune infiltration analysis using the datasets and qPCR. RESULTS AND CONCLUSION:(1)8492 osteoarthritis genes were obtained by batch correction and principal component analysis,mainly strongly associated with immune cells such as Macrophages M2 and Mast cells resting;200 hypoxia genes were also obtained,resulting in 41 osteoarthritis hypoxia differentially expressed genes.(2)GO analysis involved mainly biological processes such as response to nutrient levels and glucocorticoids;cellular components such as lysosomal lumen and Golgi lumen;and molecular functions such as 14-3-3 protein binding and DNA-binding transcriptional activator activity.(3)KEGG analysis of osteoarthritis hypoxia differentially expressed genes was associated with signaling pathways such as PI3K-Akt,FoxO,and microRNAs in cancer.(4)The characteristic gene KDELR3 was obtained after using WGCNA analysis and machine learning screening.(5)The gene expression of KDELR3 was found to be higher in the test group than in the control group in the synovium(P=0.014)but lower in the meniscus(P=0.024)after validation by gene microarray.(6)In vitro chondrocyte assay showed that the expression of KDELR3 was higher in cartilage than in the control group(P=0.005),while KDELR3 was closely associated with Macrophages M0(P=0.014)and T cells follicular helper(P=0.014).Using a machine learning approach,we confirmed that KDELR3 can be used as a hypoxic signature gene for osteoarthritis and may intervene in osteoarthritis pathogenesis by improving hypoxia,expecting to provide a new direction for better treatment of osteoarthritis.

BACKGROUND:Ferroptosis is strongly associated with the occurrence and progression of osteoarthritis,but the specific characteristic genes and regulatory mechanisms are not known. OBJECTIVE:To identify osteoarthritis ferroptosis signature genes and immune infiltration analysis using the WGCNA and various machine learning methods. METHODS:The osteoarthritis dataset was downloaded from the GEO database and ferroptosis-related genes were obtained from the FerrDb website.R language was used to batch correct the osteoarthritis dataset,extract osteoarthritis ferroptosis genes and perform differential analysis,analyze differentially expressed genes for GO function and KEGG signaling pathway.WGCNA analysis and machine learning(random forest,LASSO regression,and SVM-RFE analysis)were also used to screen osteoarthritis ferroptosis signature genes.The in vitro cell experiments were performed to divide chondrocytes into normal and osteoarthritis model groups.The dataset and qPCR were used to verify expression and correlate immune infiltration analysis. RESULTS AND CONCLUSION:(1)12 548 osteoarthritis genes were obtained by batch correction and PCA analysis,while 484 ferroptosis genes were obtained,resulting in 24 differentially expressed genes of osteoarthritis ferroptosis.(2)GO analysis mainly involved biological processes such as response to oxidative stress and response to organophosphorus,cellular components such as apical and apical plasma membranes,and molecular functions such as heme binding and tetrapyrrole binding.(3)KEGG analysis exhibited that differentially expressed genes of osteoarthritis ferroptosis were related to signaling pathways such as the interleukin 17 signaling pathway and tumor necrosis factor signaling pathway.(4)After using WGCNA analysis and machine learning screening,we obtained the characteristic gene KLF2.After validation by gene microarray,we found that the gene expression of KLF2 was higher in the test group than in the control group in the meniscus(P=0.000 14).(5)In vitro chondrocyte assay showed that type Ⅱ collagen and KLF2 expression was lower in the osteoarthritis group than in the control group in chondrocytes(P<0.05),while in osteoarthritis ferroptosis,mast cells activated was closely correlated with dendritic cells(r=0.99);KLF2 was closely correlated with natural killer cells(r=-1,P=0.017)and T cells follicular helper(r=-1,P=0.017).(6)The findings indicate that using WGCNA analysis and machine learning methods confirmed that KLF2 can be a characteristic gene for osteoarthritis ferroptosis and may improve osteoarthritis ferroptosis by interfering with KLF2.

Objective To research the effectiveness of deep learning techniques in intelligently diagnosing dental caries and periapical periodontitis and to explore the preliminary application value of deep learning in the diagnosis of oral diseases.Methods A dataset containing 2 298 periapical films,including healthy teeth,dental caries,and peri-apical periodontitis,was used for the study.The dataset was randomly divided into 1 573 training images,233 valida-tion images,and 492 test images.By comparing various neural network models,the MobileNetV3 network model with better performance was selected for dental disease diagnosis,and the model was optimized by tuning the network hyper-parameters.The accuracy,precision,recall,and F1 score were used to evaluate the model's ability to recognize dental caries and periapical periodontitis.Class activation map was used to visualization analyze the performance of the net-work model.Results The algorithm achieved a relatively ideal intelligent diagnostic effect with precision,recall,and accuracy of 99.42%,99.73%,and 99.60%,respectively,and the F1 score was 99.57%for classifying healthy teeth,den-tal caries,and periapical periodontitis.The visualization of the class activation maps also showed that the network model can accurately extract features of dental diseases.Conclusion The tooth lesion detection algorithm based on the Mo-bileNetV3 network model can eliminate interference from image quality and human factors and has high diagnostic accu-racy,which can meet the needs of dental medicine teaching and clinical applications.

Objective:To examine the associations of BMI and waist circumference (WC) with the risk of chronic kidney disease (CKD) and its subtypes in adults in China.Methods:The data from the China Kadoorie Biobank were used. After excluding those with cancer, coronary heart disease, stroke, or CKD at baseline survey, 480 430 participants were included in this study. Their body height and weight, and WC were measured at baseline survey. Total CKD was defined as diabetic kidney disease (DKD), hypertensive nephropathy (HTN), glomerulonephritis (GN), chronic tubulointerstitial nephritis (CTIN), obstructive nephropathy (ON), CKD due to other causes, and chronic kidney failure. Cox proportional hazards regression model was used to estimate the associations between exposure factors and risks of outcomes.Results:During a follow-up period of (11.8±2.2) years, 5 486 cases of total CKD were identified, including 1 147 cases of DKD, 340 cases of HTN, 1 458 cases of GN, 460 cases of CTIN, 598 cases of ON, 418 cases of CKD due to other causes, and 1 065 cases of chronic kidney failure. After adjusting for socio-demographic factors, lifestyle factors, baseline prevalence of hypertension and diabetes, and WC and compared to participants with normal BMI (18.5-23.9 kg/m 2), the hazard ratios ( HRs) of total CKD for underweight (<18.5 kg/m 2), overweight (24.0-27.9 kg/m 2), and obese (≥28.0 kg/m 2) were 1.42 (95% CI: 1.23-1.63), 1.00 (95% CI: 0.93-1.08) and 0.98 (95% CI: 0.87-1.10), respectively. Stratification analysis by WC showed that BMI was negatively associated with risk for total CKD in non-central obese participants (WC: <85.0 cm in men and <80.0 cm in women) ( HR=0.97, 95% CI: 0.96-0.99), while the association was positive in central obese participants (≥90.0 cm in men and ≥85.0 cm in women) ( HR=1.03, 95% CI: 1.01-1.05). The association between BMI and GN was similar to that of total CKD. BMI was associated with an increased risk for HTN, with a HR of 1.12 (95% CI: 1.06-1.18) per 1.0 kg/m 2 higher BMI. After adjusting for potential confounders and BMI, compared to participants with non-central obesity, the HRs for pre-central obesity (WC: 85.0-89.9 cm in men and 80.0-84.9 in women) and central obesity were 1.26 (95% CI: 1.16-1.36) and 1.32 (95% CI: 1.20-1.45), respectively. With the exception of HTN and CTIN, WC was positively associated with risks for all CKD subtypes. Conclusions:BMI-defined underweight and central obesity were independent risk factors for total CKD, and BMI and WC had different associations with risks for disease subtypes.

Objective:To describe the characteristics, etiology and patterns of outpatients and inpatients patients with moderate or severe valvular heart disease (VHD).Methods:This is a cross-sectional study. Outpatients and inpatients with moderate or severe VHD who underwent transthoracic echocardiography for first examination from 1 st January 2001 to 1 st January 2020 in Southwest Hospital, Army Medical University were enrolled. Data were collected from medical records and big data platform of Southwest Hospital. Characteristics of age and gender, etiology and types of VHD were descriptively analysed. Results:A total of 68 354 patients with moderate or severe VHD were enrolled. The age was 63 (50, 72) years. And 35 706 (52.24%) patients were female. (1) Age characteristics: There was similar age trend between male and female patients with moderate or severe VHD. The number of patients increased firstly and then decreased and reached its peak in the age group of 65-69 years old. The peak age of mitral stenosis patients was 45-49 years, which was earlier than that of whole patients with moderate or severe VHD. The median age of patients with bicuspid aortic valve was 42 years. (2) Gender characteristics: The proportion of tricuspid regurgitation, pulmonary regurgitation, mitral regurgitation, mitral stenosis and valve surgery in female patients with moderate or severe VHD were higher than those in male patients. The proportion of aortic regurgitation, aortic stenosis and bicuspid aortic valve in male patients with moderate or severe VHD were significantly higher than those in female patients (all P<0.05). (3) Etiology: The proportion of rheumatic VHD was 13.07% (8 934/68 354), which was higher than that of degenerative VHD (0.67% (458/68 354)). (4) Types of VHD: Tricuspid regurgitation made contribution to the largest proportion with 60.72% (41 503/68 354), followed by mitral regurgitation, aortic regurgitation, mitral stenosis, pulmonary regurgitation and aortic stenosis. Conclusions:There are certain regional characteristics in the prevalence of moderate or severe VHD in southwest China, suggesting different attention should be paid on the whole process of refined management of moderate or severe VHD.