ObjectiveTo analyze the research status and development trends of non-pharmacological therapies for post-stroke spasticity (PSS) over the past two decades. MethodsRelevant literatures on non-pharmacological rehabilitation of PSS published from January, 2004 to June, 2024 were retrieved from Web of Science Core Collection. CiteSpace 6.3.R6 and VOSviewer 1.6.18 were used for visualization analysis. ResultsA total of 780 publications were included. The annual number of publications showed an overall upward trend. China, the USA, and Italy contributed the highest number of publications. The Hong Kong Polytechnic University and researcher Noureddin Nakhostin Ansari were identified as the most influential institution and author, respectively. High-frequency keywords and cluster labels included electric stimulation, transcranial magnetic stimulation, robot and acupuncture. ConclusionOver the past 20 years, researches on non-pharmacological therapies for PSS have remained active, with hotspots focusing on diverse interventions such as electrical stimulation, magnetic stimulation and robot-assisted therapy.

ObjectiveTo explore the potential mechanisms of Leigongteng （Tripterygium wilfordii Hook. f.） in treating rheumatoid arthritis （RA） using bioinformatics analysis and experimental validation. MethodsBioinformatics approaches， including the Gene Expression Omnibus （GEO）， the traditional Chinese medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， Gene Ontology （GO） enrichment analysis， Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment， protein-protein interaction （PPI） network analysis， molecular docking， receiver operating characteristic （ROC） analysis， and immune infiltration analysis， were used to predict the key active components of Leigongteng and its target genes for RA treatment. Experimental validation was conducted using human rheumatoid arthritis fibroblast-like synoviocytes （HFLS-RA） in vitro， with methotrexate as the positive control. A scratch assay was performed to assess cell migration after 24 hours of culture. Western blotting was used to detect protein expression levels， qPCR was used to measure target gene mRNA levels， and ELISA was conducted to evaluate inflammatory cytokine levels， including interleukin-1β （IL-1β）， interleukin-6 （IL-6）， interleukin-10 （IL-10）， and tumor necrosis factor-α （TNF-α）. ResultsA total of 117 target genes of Leigongteng were identified and intersected with RA-related genes， yielding 55 key genes. Further screening identified three core genes： PTGS2， CXCR4， and TIMP1. Based on the correspondence between potential drug targets and key components， triptolide and nobiletin were identified as the primary active compounds. Molecular docking results showed that both triptolide and nobiletin had binding energies lower than -5 kcal/mol with their respective target proteins， indicating strong interactions. In vitro experiments demonstrated that， compared with the blank control group， the triptolide， nobiletin， and positive control groups exhibited reduced cell migration rates after 24 hours of culture （P＜0.01）. The expression levels of PTGS2 and CXCR4 （both mRNA and protein） were significantly downregulated， while TIMP1 expression was upregulated. Levels of IL-1β， IL-6， and TNF-α decreased， whereas IL-10 levels increased （P＜0.01）. Compared with the positive control group， the triptolide and nobiletin groups showed increased cell migration rates， upregulated PTGS2 and CXCR4 expression （mRNA and protein）， downregulated TIMP1 expression （mRNA and protein）， increased IL-1β， IL-6， and TNF-α levels， and decreased IL-10 levels （P＜0.05 or P＜0.01）. ConclusionThe key active components of Leigongteng， triptolide and nobiletin， may alleviate RA by inhibiting PTGS2 and CXCR4 while promoting TIMP1 expression， thereby suppressing inflammatory responses.

As a neglected tropical disease, schistosomiasis remains a major public health challenge in underdeveloped areas, notably Africa. Currently, the national schistosomiasis control programmes in Africa mainly depend on foreign aids; however, conventional international aid models have multiple limitations. To enhance the effectiveness and sustainability of global schistosomiasis control programmes, this article proposes a trinity collaboration model based on international rules, China’s experiences and local needs, which is explained with China aid project of schistosomiasis control in Zanzibar as an example. Based on the successful experiences from the national schistosomiasis control programme in China, this model emphasizes the compliance with World Health Organization guidelines and fully considers local actual needs to promote the effectiveness and sustainability of the schistosomiasis control programme through integrating international resources and promoting China’s experience to meet local needs. The successful practice of the China aid project of schistosomiasis control in Zanzibar provides strong evidence that the model is of great theoretical significance and practical value to improve the efficiency of multilateral collaboration and promote global health governance.

Our study aims at systematically summarizing and evaluating the applications of digital intelligence technologies in the field of rare disease medical care insurance now and in the future and at constructing a conceptual framework for the digital powered mechanism for the medical care insurance for rare diseases. By using Chinese keywords of " rare disease" " medical insurance"" artificial intelligence"" prediction model"" machine learning"" big data"" algorithm" and their English equivalents, we searched the databases of PubMed, Embase, Web of Science, CNKI, Wanfang, and VIP, collected relevant literature, and decided the criteria of inclusion and exclusion. The finding of our study shows that medical care insurance mechanism of rare disease in China faces significant challenges in drug accessbility and the funding sustainability. Meanwhile, our study shows that the digital intelligence technologies have broad potential in applications-in financing, accessbility, payment, and supervision. Specifically, dynamic simulation models and big data analysis can make precise prediction of the demand for funding of medical care insurance. The machine learning algorithms improve the dynamic evaluation of drug safety and cost-effectiveness. The personalized payment models enhance the efficiency in identifying the cohort with high expenditure so as to alleviate fund expenditure pressures. The intelligent monitoring technologies can accurately detect the abnormal behaviors in funds of medical care insurance. These technologies provide systematic and scientific solutions for improving the medical care mechanism for rare diseases. Even though further investigation is needed, the digital intelligence technologies have shown remarkable potential in enhancing the flexibility, efficiency, and sustainability of the medical care insurance system and a promising future in meeting the needs of patients with rare diseases.

Objective:To analyze the clinical efficacy and learning curve for robot-assisted cortical bone trajectory (CBT) screw fixation performed by surgeons with different seniority in the treatment of lumbar degenerative disease.Methods:The clinical data of 91 lumbar degenerative disease patients underwent robot-assisted CBT screw fixation from August 2020 to December 2022 in Beijing Shijitan Hospital, Capital Medical University were retrospectively analyzed. Among them, 48 patients underwent surgery performed by the same senior surgeon (senior group), with a total of 234 CBT screws were placed; while 43 patients underwent surgery performed by the same junior surgeon (junior group), with a total of 206 CBT screws were placed. The surgical related indexes, functional improvement score, lower back pain and lower limb radiation pain scores, acceptable nail insertion rate, non invasion rate of facet joints and incidence of postoperative complications were compared between two groups. The functional improvement score was evaluated using the Japanese Orthopaedic Association (JOA) score, the pain score was evaluated using visual analog score (VAS). The cumulative sum (CUSUM) method was used to depict the learning curve with "single screw placement time" as the observation index.Results:There were no statistical difference in incision length, operation time, intraoperative blood loss and postoperative hospital stay between two groups ( P>0.05). The least squares means of JOA scores 1, 3 and 6 months after surgery in both groups increased significantly compared to baseline, while the least squares means of lower back pain VAS and lower limb radiation pain VAS decreased significantly compared to baseline; there were no statistical differences between two groups ( P>0.05). There were no statistical difference in acceptable nail insertion rate, non invasion rate of facet joints and incidence of postoperative complications between two group ( P>0.05). The CUSUM learning curves were fitting well and the inflection point for senior surgeon corresponded to 18 cases, while it was reached after performing surgery on 21 cases for junior surgeon. Conclusions:Robot-assisted CBT screw fixation performed by surgeons with different seniority could achieve similar clinical outcomes for treating lumbar degenerative disease. The senior surgeons are able to complete the initial learning stage faster than the junior surgeons, but there is not much difference in the number of surgeries performed the learning curve.

Objective:To analyze the clinical efficacy and learning curve for robot-assisted cortical bone trajectory (CBT) screw fixation performed by surgeons with different seniority in the treatment of lumbar degenerative disease.Methods:The clinical data of 91 lumbar degenerative disease patients underwent robot-assisted CBT screw fixation from August 2020 to December 2022 in Beijing Shijitan Hospital, Capital Medical University were retrospectively analyzed. Among them, 48 patients underwent surgery performed by the same senior surgeon (senior group), with a total of 234 CBT screws were placed; while 43 patients underwent surgery performed by the same junior surgeon (junior group), with a total of 206 CBT screws were placed. The surgical related indexes, functional improvement score, lower back pain and lower limb radiation pain scores, acceptable nail insertion rate, non invasion rate of facet joints and incidence of postoperative complications were compared between two groups. The functional improvement score was evaluated using the Japanese Orthopaedic Association (JOA) score, the pain score was evaluated using visual analog score (VAS). The cumulative sum (CUSUM) method was used to depict the learning curve with "single screw placement time" as the observation index.Results:There were no statistical difference in incision length, operation time, intraoperative blood loss and postoperative hospital stay between two groups ( P>0.05). The least squares means of JOA scores 1, 3 and 6 months after surgery in both groups increased significantly compared to baseline, while the least squares means of lower back pain VAS and lower limb radiation pain VAS decreased significantly compared to baseline; there were no statistical differences between two groups ( P>0.05). There were no statistical difference in acceptable nail insertion rate, non invasion rate of facet joints and incidence of postoperative complications between two group ( P>0.05). The CUSUM learning curves were fitting well and the inflection point for senior surgeon corresponded to 18 cases, while it was reached after performing surgery on 21 cases for junior surgeon. Conclusions:Robot-assisted CBT screw fixation performed by surgeons with different seniority could achieve similar clinical outcomes for treating lumbar degenerative disease. The senior surgeons are able to complete the initial learning stage faster than the junior surgeons, but there is not much difference in the number of surgeries performed the learning curve.

Objective To investigate the causal relationship between rheumatoid arthritis (RA) and pulmonary hypertension (PH) by the Mendelian randomization design method.Methods The data on single nucleotide polymorphisms (SNPs) of exposure and outcome were obtained by using publicly available ge-nome-wide association studies and the summary analysis was conducted;the inverse variance-weighted (IVW) method as the primary analysis method was used to assess the causal effect of exposure factors (RA) on the outcomes (PH);the MR-Egger regression method,weighted median method (WM),weighted model and sim-ple model were used as supplementary regression explanations to conduct the sensitivity analysis for evalua-ting the robustness of results;the "heterogeneity" function was used to calculate the "P value" for testing the heterogeneity,and the "horizontal pleiotropy" function was used to calculate the "P value" to test the level pleiotropy.Results In the "FINNGEN data" included in the GWAS database,the SNPs had the strong corre-lation after removing the linkage imbalance by Mendelian random analysis and satisfying "P<5×10-8" were selected,the effective instrumental variables were obtained by integrating the exposure and outcome.The IVW results showed that RA was a risk factor for PH (OR=1.295,95％CI:1.053-1.593,P=0.014)."heteroge-neity" function test showed that the results had no heterogeneity (P=0.221);" horizontal pleiotropy" func-tion test showed that the results had no horizontal pleiotropy (P=0.877),and the total results were steady and reliable.Conclusion RA is a risk factor for PH,and RA is positively associated with PH.

Objective To explore the causal relationship between rheumatoid arthritis(RA)and iron deficiency a-nemia(IDA)in European population by two-sample Mendelian randomization analysis.Methods The single nu-cleotide polymorphisms(SNPs)of RA and IDA were analyzed using public genome-wide association studies(GWAS).The inverse variance weighting method(IVW)was used as the main analysis method to evaluate the causal effect of RA on IDA.MR-Egger method,weighted median method(WM),weighted model method and simple model method were used as regression supplements to evaluate the robustness of sensitivity analysis results.The het-erogeneity function was used to calculate the P-value to test the heterogeneity,and the intercept term intercept was used to test the level pleiotropy.Results In the FINNGEN database at the genome-wide level,strong-related SNPs that removed linkage disequilibrium and met the P＜5.0 × 10-8 by Mendelian randomization analysis were select-ed.After integrating exposure and outcome data,31 SNPs were obtained as the final effective instrumental variables.IVW showed that RA was a risk factor for IDA(the risk of IDA in RA patients was 1.064 times higher than that in non-RA patients,OR=1.064,95％CI:1.028-1.103).The weighted median method and MR-Egger method re-sults supported the positive correlation between RA and IDA.The intercept value was close to 0,indicating that there was no horizontal pleiotropy between exposure and outcome.The heterogeneity function's P＜0.05 indicated that there was heterogeneity between exposure and outcome,but the random effect model test showed P＜0.05,indi-cating that even if there was heterogeneity in causality,the overall trend was stable.Conclusion RA is a risk factor for IDA,and there is a positive correlation between RA and IDA.

Objective To investigate the accuracy of liver stiffness (LS) as a noninvasive index in predicting hepatic venous pressure gradient (HVPG) in patients with decompensated liver cirrhosis and the value of LS in the diagnosis of decompensated liver cirrhosis. Methods A retrospective analysis was performed for the clinical data of 88 patients with decompensated cirrhosis due to viral hepatitis or decompensated alcoholic cirrhosis who received both HVPG measurement and LS measurement by acoustic radiation force impulse (ARFI) in Department of Gastroenterology, Nanjing Drum Tower Hospital, from April 2013 to June 2021, and according to HVPG, the patients were divided into serious portal hypertension (SPH) (HVPG≥20 mmHg) group with 24 patients and non-SPH (HVPG < 20 mmHg) group with 64 patients. The two groups were compared in terms of LS, spleen stiffness, portal vein velocity, and related biochemical parameters. The t -test or the Mann-Whitney U rank sum test was used for comparison of continuous data between two groups, and the chi-square test was used for comparison of categorical data between two groups. A Pearson correlation analysis was used to investigate the correlation of different noninvasive indices with HVPG, and a Logistic regression analysis was used to investigate the association of different noninvasive indices with the risk of SPH. Receiver operating characteristic (ROC) curves were plotted for different noninvasive indices in predicting HVPG≥20 mmHg, and the area under the ROC curve (AUC), sensitivity, specificity, maximum Youden index, and corresponding cut-off value were calculated to investigate the value of each index in predicting SPH. Results Among the 88 patients, 76 had decompensated cirrhosis due to viral hepatitis and 12 had decompensated alcoholic cirrhosis. There were no significant differences between the SPH group and the non-SPH group in age, sex, white blood cell count, hemoglobin, platelet count, prothrombin time, alanine aminotransferase, aspartate aminotransferase, albumin, serum sodium, creatinine, Child-Pugh class, and spleen stiffness, while there was a significant difference in LS between the two groups ( t =-3.970, P < 0.01). The correlation analysis showed that HVPG was positively correlated with LS ( r =0.458, P < 0.001). The Logistic regression analysis showed that LS was a risk factor for SPH (odds ratio=3.941, 95% confidence interval: 1.245-12.476, P =0.020). The ROC curve analysis showed that LS had an AUC of 0.751 in predicting the onset of SPH, with a sensitivity of 54.17% and a specificity of 90.63% at the optimal cut-off value of 2.295 m/s. Conclusion In patients with decompensated cirrhosis, LS measured by ARFI is correlated with HVPG and has a certain value in the non-invasive diagnosis of decompensated cirrhosis with HVPG≥20 mmHg.

Objective:To explore the role of serum pyrrole-protein-adduct (PPA) in evaluating the severity and predicting the anticoagulant efficacy in patients with pyrrolidine alkaloid-related hepatic sinusoidal obstruction syndrome (PA-HSOS).Methods:From April 2018 to December 2019, the data of 48 patients with PA-HSOS admitted and treated at Drum Tower Hospital, Affiliated Medical College of Nangjing University were collected, which included PPA level, portal vein velocity (PVV), ascites grading, PA-HSOS severity grading (according to the new severity grading criteria for suspected hepatic sinusoidal obstruction syndrome in adults by the European Society of Blood and Bone Marrow Transplantation and adjusted) and the outcome of anticoagulation. Patients with acute onset (onset of symptoms within 1 month after consuming pyrrolizidine alkaloid-containing plants) were taken as research subjects. The combination of PPA with PVV or with ascites classification of PA-HSOS severity assessment model was fitted by logistic regression, and the logit values of 2 combination models were calculated, the formula was logit 1=0.034×PPA(nmol/L)+ 0.055×PVV(cm/s)-3.287, logit 2=0.039×PPA(nmol/L)-2.712×ascites grade 2 (Yes=1, No=0)-0.388×ascites grade 3 (Yes=1, No=0)-0.899. The patients received initial anticoagulation therapy at Drum Tower Hospital, Affiliated Medical College of Nanjing University were selected as research subjects. The anticoagulant efficacy prediction model of combination of PPA with serum creatinine (SCR) and with hepatic venous pressure gradient (HVPG) was fitted by logistic regression, and the logit value was calculated, the formula was logit 3=0.013×PPA(nmol/L)+ 0.064×SCR (mol/L)+ 0.542×HVPG (mmHg, 1 mmHg=0.133 kPa)-16.005. The predictive value of PPA in evaluating the severity of PA-HSOS and anticoagulant efficacy was evaluated. Receiver operating characteristic curve analysis was performed for statistical analysis. Results:The serum PPA level of 48 patients was 10.81 nmol/L (3.91 nmol/L, 32.04 nmol/L). Among them, 33 cases (68.8%) were mild PA-HSOS, 3 cases (6.2%) were moderate PA-HSOS, no severe PA-HSOS case and 12 cases (25.0%) were very severe PA-HSOS. Among 23 patients received initial anticoagulant therapy at Drum Tower Hospital, Affiliated Medical College of Nanjing University and with complete data, 8 patients responded and survived, and 15 patients did not respond (5 patients died, 1 patient relieved after continue anticoagulant therapy, and 9 patients survived after switching to anticoagulant therapy and transjugular intrahepatic portosystemic shunt (TIPS) treatment). One patient without initial anticoagulant therapy, survived after TIPS treatment because of the progress of the disease. Area under the curve (AUC) of PPA to assess the severity of acute onset PA-HSOS was 0.75, 95% confidence interval ( CI) was 0.52 to 0.98 ( P=0.047). When PPA≥45.519 nmol/L, the specificity and sensitivity in evaluating severe and very severe PA-HSOS was 100.0% and 57.1%, respectively. AUC of combination of PPA and PVV to assess the severity of PA-HSOS was 0.77, 95% CI was 0.55 to 1.00 ( P=0.032). When the logit of combination model≥0.180, the specificity and sensitivity in evaluating severe and very severe PA-HSOS was 71.4% and 81.8%, respectively. AUC of combination of PPA and ascites grade (grade 1, 2 or 3) to assess the severity of PA-HSOS was 0.85, 95% CI was 0.63 to 1.00 ( P=0.005). When the logit of combination model≥0.347, the specificity and sensitivity in evaluating severe and very severe PA-HSOS was 85.7% and 92.0%, respectively. AUC of combination of PPA, SCR and HVPG to predict anticoagulation efficacy was 0.85, 95% CI was 0.69 to 1.00 ( P=0.009). When the logit≥0.393, the specificity and sensitivity in predicting anticoagulation efficacy was 62.5% and 91.7%, respectively. Conclusions:PPA can be used to assess the severity of acute onset PA-HSOS patients, and combined with ascites grading can significantly improve its efficiency. PPA combined with SCR and HVPG can better predict anticoagulant efficacy.