BACKGROUND:Pain is the main symptom of knee osteoarthritis,which seriously affects the quality of life of elderly patients.The pain mechanism of knee osteoarthritis is complex and involves multi-tissue and multi-discipline.Visual analysis is needed to understand its cutting-edge content and research hotspots.OBJECTIVE:To analyze and summarize the cutting-edge content and research hotspot in knee osteoarthritis pain field using bibliometrics visualization software.METHODS:Literatures related to knee osteoarthritis pain from 2014 to 2024 were retrieved from Web of Science Core Collection(WoSCC).Three visualization software,Citespace,VOSviewer,and Bibliometrix R-Package were used for bibliometric and visual analysis.RESULTS AND CONCLUSION:(1)The number of articles on knee osteoarthritis pain research is increasing year by year.(2)The United States,China,and Australia were the top three countries in the number of publications in this field in 10 years.Boston University,University of Sydney,and University of Florida are the top three research institutions.OSTEOARTHRITIS AND CARTILAGE has published the most research articles in this field,and PAIN has been the most cited journal in this field.The author with the most published articles is Fillingim Roger B.The active authors in this field have formed a number of stable research teams among themselves,but there is a lack of international cooperation.(3)Daily management(motor,psychological,and intelligent management),inflammatory mechanism of pain,proteomics,combination medication,central sensitization,and pain regulation of knee osteoarthritis pain patients are the key contents of knee osteoarthritis pain research.Artificial intelligence assistance,extracorporeal shock wave therapy,radiofrequency ablation,nerve cryotherapy,intra-articular injection of blood or cell preparations may be the research frontiers in this field.

Objective To deeply understand the anatomical basis of temporomandibular joint disorders,and explore and master the pathological characteristics of anterior displacement of temporomandibular joint disc through cadaveric dissection and 3D printing technology.Methods By dissecting the temporomandibular joints of 40 head and neck specimens,the bilateral structures of the temporomandibular joints were measured to obtain condyle and articular disc data.3D modeling was carried out using 3ds Max software and printed out a model of temporomandibular joint.The pathological model of the anterior disc displacement with reduction(ADDwR)was simulated by adjusting the opening degree,the position of the articular disk,and the position of the condyle of the model.Results The precise data of the right and left temporomandibular joint discs and condyle were successfully obtained by dissection and measurement.The thickness of the anterior band of left temporomandibular joint discs was(2.02±0.57)mm,the thickness of the middle band was(1.46±0.33)mm,the thickness of the posterior band was(3.00±0.46)mm,the anterior-posterior diameter was(9.60±0.72)mm,and the internal-external diameter was(17.73±0.84)mm.While the thickness of the anterior band of right temporomandibular joint discs was(1.84±0.35)mm,and the thickness of the middle band was(1.43±0.28)mm,the thickness of posterior band was(3.08±0.49)mm,the anterior-posterior diameter was(9.30±0.88)mm,and the internal-external diameter was(17.38±1.10)mm.The internal-external diameter of the left temporomandibular joint condyle was(18.97±0.41)mm,and the anterior-posterior diameter was(8.56±0.43)mm;the internal-external diameter of the right temporomandibular joint condyle was(18.86±0.75)mm,and the anterior-posterior diameter was(8.40±0.30)mm.The standard temporomandibular joint model was printed out by the measured data.The model was utilized to simulate the physiological state of temporomandibular joint under normal conditions,as well as the three pathological states of closed mouth,closed mouth to open mouth,and open mouth in the case of ADDwR.Conclusion The temporomandibular joint model can more intuitively present the changes of anatomical structure in reversible temporoman-dibular joint disorders,which is helpful for understanding and mastering the different classification of this disease.

Knee osteoarthritis(KOA)is a common chronic degenerative bone and joint disease characterized by degeneration and wear of knee cartilage.It is commonly found in middle-aged and elderly people and seriously impacts on their lower limb activity and quality of life.At present,the treatment of early and middle stage KOA mainly relies on the conservative methods such as oral medication,joint injection,topical patches and traditional Chinese medicine.Platelet rich plasma(PRP),as an autologous platelet concentrate,is rich in various growth factors and has no risk of immune rejection.In recent years,it has been widely used in the repair of bone,joint,and soft tissue injuries.However,the short biological half-life of growth factors in PRP and the fluidity of injection sites can result in insufficient binding force,short action time,poor target therapy efficacy,and the need for repeated injections in the joint cavity,which will increase the risk of iatrogenic infections.Hydrogels are cross-linked polymer networks containing water,and their high histocompatibility and drug release have attracted much attention.The slow and continuous release of drug is achieved by loading PRP onto hydrogel.Its unique adhesion reduces the flow of drug in the joint,thus extending the local action time of PRP and reducing the need for repeated injection.This article reviews the biological characteristics of PRP and hydrogel,the mechanism of action and clinical application of PRP loaded hydrogel in the treatment of KOA,and analyzes the existing problems and challenges,aiming to provide more effective treatment options for KOA patients through the in-depth discussion of this new treatment method.

As a novel form of cell death, ferroptosis is mainly regulated by the accumulation of soluble iron ions in the cytoplasm and the production of lipid peroxides and is closely associated with several diseases, including acute kidney injury, ischemic reperfusion injury, neurodegenerative diseases, and cancer. The term "immunosuppression" refers to various factors that can directly harm immune cells' structure and function and affect the synthesis, release, and biological activity of immune molecules, leading to the insufficient response of the immune system to antigen production, failure to successfully resist the invasion of foreign pathogens, and even organ damage and metabolic disorders. An immunosuppressive phase commonly occurs in the progression of many ferroptosis-related diseases, and ferroptosis can directly inhibit immune cell function. However, the relationship between ferroptosis and immunosuppression has not yet been published due to their complicated interactions in various diseases. Therefore, this review deeply discusses the contribution of ferroptosis to immunosuppression in specific cases. In addition to offering new therapeutic targets for ferroptosis-related diseases, the findings will help clarify the issues on how ferroptosis contributes to immunosuppression.
Ferroptosis/immunology* ; Humans ; Immune Tolerance/immunology* ; Animals ; Immunosuppression Therapy ; Iron/metabolism* ; Neoplasms/immunology*

Objective:To analyze inpatients preferences for an unaccompanied ward and its influencing factors, for references for the implementation of unaccompanied ward management.Methods:Based on a convergent mixed research design, a convenience sampling method was used to select inpatients who visited a tertiary hospital from June to August 2024 as the survey subjects. A questionnaire survey was conducted on their willingness to choose the unaccompanied ward (provided by medical nursing staff). Meanwhile, using purposive sampling method, 10 inpatients and 11 accompanying family members were selected for semi-structured interviews about unaccompanied ward prference, and the interview topics were summarized and extracted. The results of quantitative and qualitative were compared and integrated.Results:The quantitative research results showed that among the 805 inpatients included, 125 patients (13.03%) chose medical caregivers, 382 patients (39.83%) chose their spouses, and 272 patients (28.36%) chose their children; 411 patients (24.54%) did not choose medical caregivers due to financial burden; 509 patients (63.23%) believed that the cost of an unaccompanied ward should be less than 120 yuan/day. The qualitative research results showed that the interview data formed three themes, including the driving factors of caregiving form selection intention, the emotional tendency of caregiving form selection intention, and the assessment of the benefits and drawbacks of caregiving form selection intention. The mixed research results showed that the majority of inpatients choose their spouse or children accompany them, and their willingness to choose medical caregivers is mainly influenced by service costs and family labor. However, its did not affect patients who are young or have difficulty caring for them; Influenced by traditional Chinese culture, patients tended to choose relatives to accompany them; The main reasons why patients did not choose unaccompanied wards were the economic burden and the mismatch between medical nursing staff services and their expectations.Conclusions:Inpatients tended to choose family members to accompany them. Their willingness to choose unaccompanied ward was influenced by economic burden, family labor, patient age, caregiving difficulty, and filial piety culture.

The clinical characteristics of a neonatal patient with movement disorder and arthrogryposis (NDEEMA) caused by gain-of-function mutation of the SCN1A gene were reported in this article. The 1-year-and-9-month-old boy started seizures since 2 hours after birth. He had funnel-breast, dislocation of the hip, and bipedal varus. Genetic testing showed SCN1A gene de novo missense mutation c.706A>G(p.Ile236Val), causing overall gain-of-function effect. The frequency of seizures decreased significantly after treatment of oxcarbazepine.

Objective:To investigate the characteristics of Internet addiction(IA)in adolescents with depression and explore its relationship with impulsivity and aggressive personality traits.Methods:A total of 71 adolescent patients with depressive disorders were recruited from the Child Psychiatry Outpatient Clinic of Peking University Sixth Hospital between April 2021 and November 2022 (15 males, 56 females; median age 14 [13, 15] years) as the depressive disorder group. Additionally, 83 healthy adolescents (27 males, 56 females; median age 14 [13, 17] years) were recruited as the control group during the same period. Internet addiction was assed using the Chinese version of Young′s Internet Addiction Test (YIAT), with a total score≥50 indicating internet addiction. Impulsivity was evaluated using the Barratt Impulsiveness Scale-11(BIS-11), and aggression was measured with the Buss-Perry Aggression Questionnaire(BPAQ). Differences in internet addiction, impulsivity, and aggression between the depression group and the control group were analyzed. Pearson correlation analysis was used to explore the correlation between internet addiction and impulsivity, aggression. Hierarchical linear regression models were used to analyze the factors influencing internet addiction, and a parallel mediation model was used to examine the mediating effect of impulsivity and aggressive personality traits in the relationship between depressive disorders and internet addiction.Results:The prevalence of IA was significantly higher in adolescents with depression than the healthy control group [57.75%(41/71) vs 31.33%(26/83); χ 2=10.87, P<0.001]. Adolescents with depressive disorders also exhibited higher impulsivity (65.5±9.2 vs 57.0±9.2, t=-5.72, P<0.001) and aggression (56.3±16.0 vs 42.4±15.1, t=-5.13, P<0.001) compared to the control group. Internet addiction was positively correlated with aggression ( r=0.47, P<0.01) and impulsivity ( r=0.57, P<0.01). Hierarchical regression analysis with the YIAT total score as the dependent variable revealed that impulsivity ( β=0.48, P<0.001) and aggression ( β=0.24, P<0.001) significantly predicted internet addiction. Mediation analysis indicated that depressive disorders indirectly indirectly influenced internet addiction through parallel paths of impulsivity and aggression, with a total indirect effect of 0.543 (95% CI: 0.362-0.761). Conversely, internect addiction influenced depressive disorders through reverse parallel pathway of impulsivity and aggression with a total indirect effect of 0.038 (95% CI: 0.021-0.067). Direct effects were not significant in either direction. Conclusion:Adolescents with depressive disorders exhibit more internet addiction. Impulsivity and aggressive personality traits play bidirectional mediating roles in the relationship between depressive disorders and internet addiction.

Aim To investigate the effect of icariin(ICA)on chronic ulcerative colitis(UC)in mice.Methods Male SPF-grade C57BL/6J mice were ran-domly divided into the control group,model group,low-dose ICA group,and high-dose ICA group.Except for the control group,the rest of the mice were established as chronic UC models.Expressions of tight junction proteins,inflammatory factors,fibrosis markers,macro-phage markers,and MAPK signaling pathways in the colonic epithelium of each group were determined by Western blot,qPCR,immunohistochemistry;the degree of intestinal damage and fibrosis was detected by HE and Masson staining;the co-localization of different macrophage markers with related factors was examined by immunofluorescence.Results Treatment of ICA significantly improved the general condition of chronic UC mice,decreased the infiltration of M1-type macro-phages and the secretion of pro-inflammatory factors,inhibited the MAPK signaling pathway,reduced the co-localization expression of M1-type macrophages with the MAPK signaling pathway,and downregulated the infiltration of M2-type macrophages and the secretion of pro-fibrotic factors in the colon.Conclusion ICA mitigates the inflammatory damage and fibrosis of colon in chronic UC mice.

Objective·To develop a nomogram prediction model and an online risk calculator,and to predict the continence of patients after robot-assisted laparoscopic radical prostatectomy(RARP).Methods·A total of 604 prostate cancer patients who underwent RARP and had preoperative prostate magnetic resonance imaging at the Shanghai General Hospital,Shanghai Jiao Tong University School of Medicine from September 2022 to December 2024 were analyzed and included.All patients were randomly resampled and divided into a training set(n=420)and a validation set(n=184)at a ratio of 7∶3.The patients'continence was followed up every month from the first month after the operation.The least absolute shrinkage and selection operator(LASSO)model was applied to screen the features.A Logistic multivariate regression analysis was used to establish a prediction model integrating the features selected from the LASSO analysis.The receiver operator characteristic(ROC)curve was drawn to predict the recovery of continence in patients after RARP,and the areas under the curve were compared by the DeLong test to evaluate the discrimination of the model.Calibration curves and decision curve analysis(DCA)were used to evaluate the calibration and clinical utility the model.Results·According to the postoperative continence follow-up data of the patients,the continence rate of the patients at 3 months after the operation was 58.28%(352/604).The length of the membranous urethra,the thickness of the right levator ani muscle,and blood loss were identified as independent predictors of early postoperative(3-month)incontinence by Logistic multivariate regression analysis of the training set.The area under the ROC curve was calculated as 0.976(0.954,0.998)for the training set and 0.977(0.945,1.000)for the validation set,demonstrating good discrimination of this model.No significant difference between the ROC curves of the training set and the validation set was confirmed by the DeLong test(P=0.949).A good goodness of fit of this model was demonstrated by the Hosmer-Lemeshow test(P=0.179).The clinical utility of the nomogram prediction model was indicated by the DCA plot.This nomogram prediction model was incorporated into an online calculator(https://yitingd.shinyapps.io/DynNomapp).Conclusion·This study developed and validated a nomogram prediction model that can effectively predict the early continence of patients after RARP.The length of the membranous urethra,the thickness of the right levator ani muscle,and the intraoperative blood loss are significant independent predictors of early postoperative incontinence.

Objective·To develop a nomogram prediction model and an online risk calculator,and to predict the continence of patients after robot-assisted laparoscopic radical prostatectomy(RARP).Methods·A total of 604 prostate cancer patients who underwent RARP and had preoperative prostate magnetic resonance imaging at the Shanghai General Hospital,Shanghai Jiao Tong University School of Medicine from September 2022 to December 2024 were analyzed and included.All patients were randomly resampled and divided into a training set(n=420)and a validation set(n=184)at a ratio of 7∶3.The patients'continence was followed up every month from the first month after the operation.The least absolute shrinkage and selection operator(LASSO)model was applied to screen the features.A Logistic multivariate regression analysis was used to establish a prediction model integrating the features selected from the LASSO analysis.The receiver operator characteristic(ROC)curve was drawn to predict the recovery of continence in patients after RARP,and the areas under the curve were compared by the DeLong test to evaluate the discrimination of the model.Calibration curves and decision curve analysis(DCA)were used to evaluate the calibration and clinical utility the model.Results·According to the postoperative continence follow-up data of the patients,the continence rate of the patients at 3 months after the operation was 58.28%(352/604).The length of the membranous urethra,the thickness of the right levator ani muscle,and blood loss were identified as independent predictors of early postoperative(3-month)incontinence by Logistic multivariate regression analysis of the training set.The area under the ROC curve was calculated as 0.976(0.954,0.998)for the training set and 0.977(0.945,1.000)for the validation set,demonstrating good discrimination of this model.No significant difference between the ROC curves of the training set and the validation set was confirmed by the DeLong test(P=0.949).A good goodness of fit of this model was demonstrated by the Hosmer-Lemeshow test(P=0.179).The clinical utility of the nomogram prediction model was indicated by the DCA plot.This nomogram prediction model was incorporated into an online calculator(https://yitingd.shinyapps.io/DynNomapp).Conclusion·This study developed and validated a nomogram prediction model that can effectively predict the early continence of patients after RARP.The length of the membranous urethra,the thickness of the right levator ani muscle,and the intraoperative blood loss are significant independent predictors of early postoperative incontinence.