OBJECTIVE To conduct a reevaluation of the systematic review （SR）/meta-analysis on the use of Xianling gubao capsules （XLGBC） for knee osteoarthritis （KOA）， and provide evidence-based support for the clinical use of the drugs. METHODS Computerized searches including CNKI， Wanfang Data， VIP， China Biomedical Literature Database， the Cochrane Library， PubMed， Embase and Web of Science were conducted to collect systematic reviews （SR） or meta-analyses of XLGBC for the treatment of KOA from the inception to May 31st， 2024. The report quality， methodological quality， risk of bias and evidence quality were assessed using the PRISMA 2020 statement， AMSTAR 2 scale， ROBIS tool and GRADE tool， respectively. A comprehensive quality analysis of the quantitative results from the SR/meta-analysis was also performed. RESULTS A total of five SR/meta-analyses were included. The evaluation results based on the PRISMA 2020 statement showed that one study report was relatively complete （21 points）， while four studies had deficiencies （18-20 points）. The assessment using the AMSTAR 2 scale indicated that the methodological quality of all five studies was rated as very low. According to the ROBIS tool evaluation， the risk of comprehensive bias in all five studies was classified as high. GRADE tool evaluation revealed that among 49 outcome indicators， 5 （10.2%） were rated as moderate-quality evidence （10.2%）， 12 as low-quality evidence （24.5%）， and 32 as very low-quality evidence （65.3%）. The results of comprehensive quality analysis showed that the clinical efficacy， visual analogue scale score， pain relief time， comprehensive indexes of knee joint function， the levels of inflammatory factors and the incidence of adverse events in patients with XLGBC combined with conventional treatment were significantly better than conventional treatment alone （P＜0.05）. CONCLUSIONS Compared with conventional treatment， XLGBC in combination with conventional treatment for KOA may have some efficacy and safety advantages. However， due to the low quality of evidence for the outcome indicators included in the studies， the conclusions should be interpreted with caution.

OBJECTIVE To conduct a reevaluation of the systematic review （SR）/meta-analysis on the use of Xianling gubao capsules （XLGBC） for knee osteoarthritis （KOA）， and provide evidence-based support for the clinical use of the drugs. METHODS Computerized searches including CNKI， Wanfang Data， VIP， China Biomedical Literature Database， the Cochrane Library， PubMed， Embase and Web of Science were conducted to collect systematic reviews （SR） or meta-analyses of XLGBC for the treatment of KOA from the inception to May 31st， 2024. The report quality， methodological quality， risk of bias and evidence quality were assessed using the PRISMA 2020 statement， AMSTAR 2 scale， ROBIS tool and GRADE tool， respectively. A comprehensive quality analysis of the quantitative results from the SR/meta-analysis was also performed. RESULTS A total of five SR/meta-analyses were included. The evaluation results based on the PRISMA 2020 statement showed that one study report was relatively complete （21 points）， while four studies had deficiencies （18-20 points）. The assessment using the AMSTAR 2 scale indicated that the methodological quality of all five studies was rated as very low. According to the ROBIS tool evaluation， the risk of comprehensive bias in all five studies was classified as high. GRADE tool evaluation revealed that among 49 outcome indicators， 5 （10.2%） were rated as moderate-quality evidence （10.2%）， 12 as low-quality evidence （24.5%）， and 32 as very low-quality evidence （65.3%）. The results of comprehensive quality analysis showed that the clinical efficacy， visual analogue scale score， pain relief time， comprehensive indexes of knee joint function， the levels of inflammatory factors and the incidence of adverse events in patients with XLGBC combined with conventional treatment were significantly better than conventional treatment alone （P＜0.05）. CONCLUSIONS Compared with conventional treatment， XLGBC in combination with conventional treatment for KOA may have some efficacy and safety advantages. However， due to the low quality of evidence for the outcome indicators included in the studies， the conclusions should be interpreted with caution.

Abstract: In the present study, the compound XL-12 from our previous work was utilized as a lead compound. Through the optimization of the terminal phenyl ring, 12 target compounds were designed and synthesized. The structures of all target compounds were confirmed by 1H NMR, 13C NMR, and H RMS. In vitro enzyme activity assay showed that most compounds demonstrated significant inhibitory activity toward Bruton’s tyrosine kinase (BTK) and Janus kinase 3 (JAK3). Among them, compound I-3 exhibited moderate cell proliferation inhibitory activity toward Daudi cells and BaF3-JAK3 cells. In the evaluation of anti-inflammatory activity in vitro, compound I-3 could effectively inhibit the production of inflammatory factors IL-6; besides, it exhibited superior anti-inflammatory activity compared to ibrutinib in xylene-induced ear swelling model in mice.

BACKGROUND:Based on different algorithms of machine learning,how to carry out clinical research on lumbar disc herniation with the help of various algorithmic models has become a trend and hot spot in the development of intelligent medicine at present. OBJECTIVE:To review the characteristics of different algorithmic models of machine learning in the diagnosis and treatment of lumbar disc herniation,and summarize the respective advantages and application strategies of algorithmic models for the same purpose. METHODS:The computer searched PubMed,Web of Science,EMBASE,CNKI,WanFang,VIP and China Biomedical(CBM)databases to extract the relevant articles on machine learning in the diagnosis and treatment of lumbar disc herniation.Finally,96 articles were included for analysis. RESULTS AND CONCLUSION:(1)Different algorithm models of machine learning provide intelligent and accurate application strategies for clinical diagnosis and treatment of lumbar disc herniation.(2)Traditional statistical methods and decision trees in supervised learning are simple and efficient in exploring risk factors and establishing diagnostic and prognostic models.Support vector machine is suitable for small data sets with high-dimensional features.As a nonlinear classifier,it can be applied to the recognition,segmentation and classification of normal or degenerative intervertebral discs,and to establish diagnostic and prognostic models.Ensemble learning can make up for the shortcomings of a single model.It has the ability to deal with high-dimensional data and improve the precision and accuracy of clinical prediction models.Artificial neural network improves the learning ability of the model,and can be applied to intervertebral disc recognition,classification and making clinical prediction models.On the basis of the above uses,deep learning can also optimize images and assist surgical operations.It is the most widely used model with the best performance in the diagnosis and treatment of lumbar disc herniation.The clustering algorithm in unsupervised learning is mainly used for disc segmentation and classification of different herniated segments.However,the clinical application of semi-supervised learning is relatively less.(3)At present,machine learning has certain clinical advantages in the identification and segmentation of lumbar intervertebral discs,classification and grading of the degenerative intervertebral discs,automatic clinical diagnosis and classification,construction of the clinical predictive model and auxiliary operation.(4)In recent years,the research strategy of machine learning has changed to the neural network and deep learning,and the deep learning algorithm with stronger learning ability will be the key to realizing intelligent medical treatment in the future.

BACKGROUND:In recent years,epidemiological studies have shown that sleep patterns are risk factors for osteoarthritis,but the causal relationship between sleep characteristics and osteoarthritis remains unknown. OBJECTIVE:To investigate the causal relationship between seven sleep phenotypes and osteoarthritis,thereby providing a theoretical foundation for clinical prevention and intervention of osteoarthritis. METHODS:Seven sleep-related features,namely sleep duration,wake-up time,daytime napping,morning/evening preference,snoring,insomnia,and hypersomnia,were selected from published genome-wide association studies.Instrumental variables for these sleep-related features were extracted.Instrumental variables for knee osteoarthritis and hip osteoarthritis were obtained from publicly available genome-wide association studies.Causal relationships between sleep characteristics and outcome risks were evaluated using two-sample and multivariable Mendelian randomization analyses.The inverse variance weighted method was employed as the primary Mendelian randomization approach.Various methods,including weighted median,weighted mode,Mendelian randomization-Egger regression,Mendelian randomization pleiotropy-residual sum and outlier,were utilized to detect and correct for the presence of pleiotropy. RESULTS AND CONCLUSION:The results of the inverse variance-weighted method in the two-sample Mendelian randomization study revealed a detrimental causal association between the duration of sleep and the incidence risk of knee osteoarthritis[odds ratio(OR)=0.621,95%confidence interval(CI):0.470-0.822,P=0.001].Concurrently,insomnia displayed a positive causal connection with hip osteoarthritis risk(OR=2.016,95%CI:1.249-3.254,P=0.005).Sensitivity analysis affirmed the robustness of these causal relationships,and Mendelian randomization-Egger intercept analysis found no evidence of potential horizontal pleiotropy(knee osteoarthritis:P=0.468,hip osteoarthritis:P=0.551).Moreover,the results from the multivariable Mendelian randomization analysis showed that the causal association between insomnia and hip osteoarthritis lacked statistical significance(P=0.715).In contrast,sleep duration exhibited a direct negative causal relationship with the incidence risk of knee osteoarthritis(OR=0.526,95%CI:0.336-0.824,P=0.005).Reverse Mendelian randomization analysis indicated that knee osteoarthritis did not influence sleep duration(P=0.757).These findings indicate a negative correlation between sleep duration and incidence risk of knee osteoarthritis,suggesting that correcting insufficient sleep might mitigate the incidence risk of knee osteoarthritis.

Objective To investigate the effects of interleukin(IL)-34 on the polarization and migration ability of macrophages derived from human peripheral blood monocytes.Methods The CD14+monocytes were isolated from human peripheral blood monocytes by immunomagnetic bead sorting,and the purity of CD14+monocytes was detected by flow cytometry.The CD14+monocytes were divided into M1 type group,IL-34-M1 type group,M2 type group and IL-34-M2 type group.The cells in the M1 type group and IL-34-M1 type group were added granulocyte-macrophage colony stimulating factor(GM-CSF)to induce for 5 days,and half of the fluid was changed,and then the interferon-γ,lipopolysaccharides,IL-6 and GM-CSF were added for another 4-day induction;the cells in the M2 type group and IL-34-M2 type group were added macrophage colony stimulating factor(M-CSF)to induce for 5 days,and half of the fluid was changed,and M-CSF,IL-4,IL-6,and IL-13 were added for another 4-day induction.The cells in IL-34-M1 group and IL-34-M2 group were co-induced with IL-34 at the beginning of induction and on the 5th day of induction.On the 9th day of induction,the proportion of CD14+CD86+cells(M1 type macrophages)and CD14+CD163+cells(M2 type macrophages)in each group was detected by flow cytometry,and the migration ability of cells in the M2 type group and IL-34-M2 type group was detected by the Transwell chamber experiments.Results High purity CD14+monocytes were obtained through magnetic bead sorting,with a CD14 positive rate of(96.77± 2.72)％,which could be used for macrophage induction.The proportion of CD14+CD86+cells in the M1 type group and IL-34-M1 type group was(43.20±7.59)％and(27.87±2.06)％,respectively.The proportion of CD14+CD163+cells in the M2 type group and IL-34-M2 type group was(47.70±4.49)％and(58.95±3.65)％,respectively;the proportion of CD14+CD86+cells in the IL-34-M1 type group was significantly lower than that in the M1 type group(P＜0.05),while the proportion of CD14+CD163+cells in the IL-34-M2 type group was significantly higher than that in the M2 type group(P＜0.05).The number of migrating cells of macrophages in the M2 type group and IL-34-M2 type group was 97.8±9.0 and 205.6±21.9,respectively;the number of migrating cells of macrophages in the IL-34-M2 type group was significantly higher than that in the M2 type group(P＜0.05).Conclusion IL-34 can inhibit the polarization of macrophages derived from human monocytes cells towards M1 type,promote the polarization of macrophages towards M2 type,and enhance the migration ability of M2 type macrophages.

The microcosmic syndrome differentiation is expounded from the the trinity life view of the body， qi， and spirit. This article analysed the relationship between micro-indicators and body， qi and spirit， considering that the abnormalities of micro-indicators in pathological states involve three different levels in terms of body， qi and spirit， and may reflect the degree of malfunction of body， qi and spirit and the dynamic changes of the focus during different pathological processes.Accordingly， based on the syndrome differentiation and treatment of traditional Chinese medicine， it is proposed that the macroscopic and the microscopic， the local and the whole， as well as the imbalance of body， qi and spirit reflected by microscopic and macroscopic indicators at different stages of disease should be combined to determine the corresponding treatment， thereby restoring the “harmony of body and spirit” of the human body.

Robotic natural orifice specimen extraction surgery for right colon cancer has been conducted with progressive refinements. To facilitate the standardized implementation of this surgical technique, the adoption of rigorous quality control measures is paramount. The present article outlines the key aspects of quality control for robotic natural orifice specimen extraction right hemicolectomy surgery, encompassing the preoperative, intraoperative, and postoperative phases, as well as the training and credentialing requirements for the operating surgeons, with the aim of providing a reference framework to facilitate the safe and reliable implementation and dissemination of this minimally invasive approach for right colon cancer.

Morita therapy has been bom for more than 100 years.Inpatient Morita therapy is highly oper-able and easy to master.It can improve many refractory neuroses through four-stage treatment.But more neuroses are treated in outpatient clinics,and Morita therapy cannot be used in hospitalized patients.Therefore,the formula-tion of expert opinions on outpatient operations is particularly important.This paper is based on domestic and for-eign references,and after many discussions by domestic Morita therapy experts,and then drew up the first version of the expert opinions on operation of outpatient Morita therapy.Meanwhile the operation rule of Morita therapy in three stages of outpatient treatment was formulated:in the etiological analysis stage,under the theoretical guidance of Morita therapy,analyze the pathogenic factors,to improve treatment compliance and reduce resistance;during the operating stage,guide patients to engage in constructive and meaningful actions,realizing the achievement of letting nature take its course principle;in the cultivating character and enriching life stage,pay attention to positive infor-mation,expanding the scope and content of actions,improving the ability to adapt to complex life,and preventing recurrence caused by insufficient abilities.It will lay a foundation for the promotion of Morita therapy in domestic outpatient clinics,so that more patients with neurosis and other psychological diseases could receive characteristic Morita therapy treatment in outpatient clinics.

Objective To assess the value of cardiac magnetic resonance(CMR)imaging for predicting adverse left ventricular remodeling in patients with ST-segment elevation myocardial infarction(STEMI).Methods We retrospectively analyzed the clinical data and serial CMR(cine and LGE sequences)images of 86 STEMI patients within 1 week and 5 months after percutaneous coronary intervention(PCI),including 25 patients with adverse LV remodeling and 61 without adverse LV remodeling,defined as an increase of left ventricular end-systolic volume(LVESV)over 15%at the second CMR compared to the initial CMR.The CMR images were analyzed for LV volume,infarct characteristics,and global and infarct zone myocardial function.The independent predictors of adverse LV remodeling following STEMI were analyzed using univariate and multivariate Logistic regression methods.Results The initial CMR showed no significant differences in LV volume or LV ejection fraction(LVEF)between the two groups,but the infarct mass and microvascular obstructive(MVO)mass were significantly greater in adverse LV remodeling group(P<0.05).Myocardial injury and cardiac function of the patients recovered over time in both groups.At the second CMR,the patients with adverse LV remodeling showed a significantly lower LVEF,a larger left ventricular end-systolic volume index(LVESVI)and a greater extent of infarct mass(P<0.001)with lower global peak strains and strain rates in the radial,circumferential,and longitudinal directions(P<0.05),infarct zone peak strains in the 3 directions,and infarct zone peak radial and circumferential strain rates(P<0.05).The independent predictors for adverse LV remodeling following STEMI included the extent of infarct mass(AUC=0.793,95%CI:0.693-0.873;cut-off value:30.67%),radial diastolic peak strain rate(AUC=0.645,95%CI:0.534-0.745;cut-off value:0.58%),and RAAS inhibitor(AUC= 0.699,95%CI:0.590-0.793).Conclusion The extent of infarct mass,peak radial diastolic strain rate,and RAAS inhibitor are independent predictors of adverse LV remodeling following STEMI.