OpenSim is an open source, free motion simulation and gait analysis software, which can be used to dynamically simulate and analyze the complex motion of the human body, and is widely used in human biomechanical research. Since OpenSim can analyze multi-dimensional motion data such as muscle strength, joint torque, and muscle synergistic activation during human movement, it can be used to study the biomechanical mechanism of musculoskeletal imbalance diseases and various treatment methods in TCM orthopedics, and has a broad application prospect in the field of TCM orthopedics. By the analysis of the basic characteristics, elements, analysis process, and application prospects of OpenSim, it is concluded that OpenSim musculoskeletal model has a large application space in the field of traditional Chinese medicine orthopedic, which is helpful to explain the pathogenesis and mechanism of diseases, and promote the precision diagnosis and treatment of orthopedics diseases;the application of OpenSim musculoskeletal model can solve the problem that the previous research paid attention to the bone malalignment and not enough attention to the tendon, and provide a new method for the research of orthopedic diseases. At present, there are still problems in the promotion and application of OpenSim, such as large equipment requirements and high operation threshold. Therefore, multidisciplinary cooperation, clinical research, and data sharing are the basic research strategies in this field.
Humans ; Biomechanical Phenomena ; Orthopedics ; Traumatology ; Software ; Medicine, Chinese Traditional ; Musculoskeletal System ; Models, Biological

Objective To develop and validate a nomogram model that integrates systemic inflammatory markers to predict the likelihood of pelvic lymph node metastasis(PLNM)in prostate cancer patients prior to surgery.Methods This study retrospectively analyzed the clinical data and preoperative inflammatory markers—including neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),systemic immune-inflammation index(SII),and monocyte-to-lymphocyte ratio(MLR)—of patients diagnosed with prostate cancer.Univariate and multi-variate logistic regression analyses were conducted to identify markers that were significantly associated with PLNM.Based on the results of the multivariate analysis,a nomogram was developed and its predictive accuracy was assessed using receiver operating characteristic curves(ROC)and calibration plots.Results Among the 334 enrolled patients with prostate cancer,107 were identified with PLNM.Univariate analysis revealed statistically significant differences in free prostate-specific antigen(fPSA),Gleason score,NLR,PLR,MLR,and SII between the PLNM and non-pelvic lymph node metastasis(NPLNM)groups(P<0.05).Multivariate analysis confirmed that fPSA,Gleason score,and SII were independent predictors of PLNM(P<0.05).A nomogram incorporating these predic-tors exhibited strong discriminative ability,with an area under the ROC curve(AUC)of 0.79(95%CI:0.73～0.84).Calibration analysis further demonstrated good consistency between the predicted and observed probabilities of PLNM.Conclusions This study successfully developed a nomogram model based on systemic inflammatory markers for preoperative prediction of pelvic lymph node metastasis in prostate cancer.Owing to its user-friendly design and high predictive accuracy,this tool may serve as a valuable complementary method to conventional imaging techniques,thereby supporting personalized treatment decision-making.

Objective To develop and validate a nomogram model that integrates systemic inflammatory markers to predict the likelihood of pelvic lymph node metastasis(PLNM)in prostate cancer patients prior to surgery.Methods This study retrospectively analyzed the clinical data and preoperative inflammatory markers—including neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),systemic immune-inflammation index(SII),and monocyte-to-lymphocyte ratio(MLR)—of patients diagnosed with prostate cancer.Univariate and multi-variate logistic regression analyses were conducted to identify markers that were significantly associated with PLNM.Based on the results of the multivariate analysis,a nomogram was developed and its predictive accuracy was assessed using receiver operating characteristic curves(ROC)and calibration plots.Results Among the 334 enrolled patients with prostate cancer,107 were identified with PLNM.Univariate analysis revealed statistically significant differences in free prostate-specific antigen(fPSA),Gleason score,NLR,PLR,MLR,and SII between the PLNM and non-pelvic lymph node metastasis(NPLNM)groups(P<0.05).Multivariate analysis confirmed that fPSA,Gleason score,and SII were independent predictors of PLNM(P<0.05).A nomogram incorporating these predic-tors exhibited strong discriminative ability,with an area under the ROC curve(AUC)of 0.79(95%CI:0.73～0.84).Calibration analysis further demonstrated good consistency between the predicted and observed probabilities of PLNM.Conclusions This study successfully developed a nomogram model based on systemic inflammatory markers for preoperative prediction of pelvic lymph node metastasis in prostate cancer.Owing to its user-friendly design and high predictive accuracy,this tool may serve as a valuable complementary method to conventional imaging techniques,thereby supporting personalized treatment decision-making.

Objective To analyze the detection rate,distribution characteristics,resistance mechanism,and mo-lecular typing of carbapenem-resistant Citrobacter freundii(CRCF),providing theoretical basis for clinical treat-ment and prevention.Methods Antimicrobial susceptibility testing results of CRCF isolated from Quanzhou First Hospital Affiliated to Fujian Medical University from 2020 to 2023 were analyzed.Resistance phenotypes of the strains were verified;resistance genes were amplified;strain homology was analyzed by multi-locus sequencing ty-ping(MLST).Whole genome sequencing analysis was performed on CF17 strains carrying both blaVIM-1,and blaNDM-1.Results A total of 119 strains of non-repetitive Citrobacter freundii were detected,27 strains were CRCF,accounting for 22.7％.CRCF was mainly isolated from departments of neurosurgery and urology,and the specimen type was mainly midstream urine.Strains were resistant to both carbapenems and cephalosporins,less resistant to amikacin,susceptible to both tigecycline and polymyxin,and with a resistance rate of＞50％to other antimicrobial agents.22 CRCF strains were successfully recovered and all were positive for antimicrobial resistance phenotype and genes.17 strains(77.3％)carried single resistance genes,including 14 strains carrying blaNDM-1,2 strains carrying blaKPC-2,and 1 strain carrying blaNDM-5.5 strains(22.7％)carried dual antimicrobial resistance genes,including strains carrying both blaKPC-2 and blaNDM-1(n=3),strain carrying both blaNDM-1 and blaIMP(n=1),and strain carrying both blaVIM-1 and blaNDM-1(n=1).A total of 8 ST types were detected,with 8 and 6 strains being ST1 16 and ST532,respectively.CF17 was ST1 16,carrying blaVIM-1 and blaNDM-1 on different plasmids,namely IncA and IncX3,respectively.Conclusion CRCF strains are mostly multidrug-resistant,with the presence of blaNDM-1 be-ing the major resistance mechanism.Some strains also carry dual resistance genes,mainly ST116 and ST532.CF17 is currently the first isolated and reported Citrobacter freundii that carries both blaVIM-1 and blaNDM-1 resistance genes in China.

Activation of nuclear factor erythroid 2-related factor 2(Nrf2)by Kelch-like ECH-associated protein 1(Keap1)alkylation plays a central role in anti-inflammatory therapy.However,activators of Nrf2 through alkylation of Keap1-Kelch domain have not been identified.Deoxynyboquinone(DNQ)is a natural small molecule discovered from marine actinomycetes.The current study was designed to investigate the anti-inflammatory effects and molecular mechanisms of DNQ via alkylation of Keap1.DNQ exhibited signif-icant anti-inflammatory properties both in vitro and in vivo.The pharmacophore responsible for the anti-inflammatory properties of DNQ was determined to be the α,β-unsaturated amides moieties by a chemical reaction between DNQ and N-acetylcysteine.DNQ exerted anti-inflammatory effects through activation of Nrf2/ARE pathway.Keap1 was demonstrated to be the direct target of DNQ and bound with DNQ through conjugate addition reaction involving alkylation.The specific alkylation site of DNQ on Keap1 for Nrf2 activation was elucidated with a synthesized probe in conjunction with liquid chromatography-tandem mass spectrometry.DNQ triggered the ubiquitination and subsequent degra-dation of Keap1 by alkylation of the cysteine residue 489(Cys489)on Keap1-Kelch domain,ultimately enabling the activation of Nrf2.Our findings revealed that DNQ exhibited potent anti-inflammatory capacity through α,β-unsaturated amides moieties active group which specifically activated Nrf2 signal pathway via alkylation/ubiquitination of Keap1-Kelch domain,suggesting the potential values of targeting Cys489 on Keap1-Kelch domain by DNQ-like small molecules in inflammatory therapies.

Tiepishihu(Dendrobii officinalis Caulis)is a medicinal and food source herbal medicine with the effect of benefiting stomach and promoting fluid,nourishing Yin and clearing heat.It has rich chemical components and pharmacological activities,with anti-inflammatory,anti-bacterial,anti-oxidation,anti-tumor,immunomodulatory,blood press regulation,hypoglycemic effects.It is not only used as medicinal food and health care products,but also widely used in medicine,such as Shihu Yeguang Wan,Compound fresh dendrobium granules and other drugs,with high medicinal and economic value.This paper summarized the resource distribution,chemical composition,pharmacological activities,and medicine and food of Dendrobii officinalis Caulis,and analyzed its application status,laying a theoretical foundation for the sustainable development,medicinal and food homologous development and comprehensive utilization of Dendrobii officinalis Caulis.

Objective To analyze the detection rate,distribution characteristics,resistance mechanism,and mo-lecular typing of carbapenem-resistant Citrobacter freundii(CRCF),providing theoretical basis for clinical treat-ment and prevention.Methods Antimicrobial susceptibility testing results of CRCF isolated from Quanzhou First Hospital Affiliated to Fujian Medical University from 2020 to 2023 were analyzed.Resistance phenotypes of the strains were verified;resistance genes were amplified;strain homology was analyzed by multi-locus sequencing ty-ping(MLST).Whole genome sequencing analysis was performed on CF17 strains carrying both blaVIM-1,and blaNDM-1.Results A total of 119 strains of non-repetitive Citrobacter freundii were detected,27 strains were CRCF,accounting for 22.7％.CRCF was mainly isolated from departments of neurosurgery and urology,and the specimen type was mainly midstream urine.Strains were resistant to both carbapenems and cephalosporins,less resistant to amikacin,susceptible to both tigecycline and polymyxin,and with a resistance rate of＞50％to other antimicrobial agents.22 CRCF strains were successfully recovered and all were positive for antimicrobial resistance phenotype and genes.17 strains(77.3％)carried single resistance genes,including 14 strains carrying blaNDM-1,2 strains carrying blaKPC-2,and 1 strain carrying blaNDM-5.5 strains(22.7％)carried dual antimicrobial resistance genes,including strains carrying both blaKPC-2 and blaNDM-1(n=3),strain carrying both blaNDM-1 and blaIMP(n=1),and strain carrying both blaVIM-1 and blaNDM-1(n=1).A total of 8 ST types were detected,with 8 and 6 strains being ST1 16 and ST532,respectively.CF17 was ST1 16,carrying blaVIM-1 and blaNDM-1 on different plasmids,namely IncA and IncX3,respectively.Conclusion CRCF strains are mostly multidrug-resistant,with the presence of blaNDM-1 be-ing the major resistance mechanism.Some strains also carry dual resistance genes,mainly ST116 and ST532.CF17 is currently the first isolated and reported Citrobacter freundii that carries both blaVIM-1 and blaNDM-1 resistance genes in China.

Discrete event simulation (DES) model is based on individual data, by which discrete events over time are simulated to reflect disease progression. The effects of individual characteristics on disease progression could be considered in the DES model. Moreover, unlike state-transition models, DES model without setting of fixed cycle can contribute to more accurate estimation of event time, especially in the evaluation of the long-term effectiveness of screening strategies for complex diseases in which time dimension needs to be considered. This article introduces the general principles, construction steps, analytic methods and other relevant issues of the DES model. Based on a research case of estimating the cost-effectiveness of screening for abdominal aortic aneurysms in women aged 65 years and above in the United Kingdom, key points in applications of the DES model in analysis on effectiveness of complex disease screening are discussed in detail, including model construction and analysis and interpretation of the results. DES model can predict occurring time of discrete events accurately by establishing the distribution function of their occurring time and is increasingly used to evaluate the screening strategies for complex diseases in which time dimension needs to be considered. In the construction of DES model, it is necessary to pay close attention to the clear presentation of model structure and simulation process and follow the relevant reporting specification to conduct cost-effectiveness analysis to ensure the transparency and repeatability of the research.
Humans ; Female ; Cost-Benefit Analysis ; Cost-Effectiveness Analysis ; Disease Progression