Objective To determine the knee joint cartilage thickness using different methods and explore the feasibility of mathematical statistical models of dataset for the prediction of cartilage thickness.Methods A total of 304 patients diagnosed as knee osteoarthritis(OA)combined with varus deformity and undergoing unilateral total knee arthroplasty at the Second Affiliated Hospital of Army Medical University from March 2023 to March 2024 were selected for the study.All patients had complete preoperative and postoperative clinical data.The healthy cartilage at four anatomical sites of patients,including the distal femur lateral condyle,lateral tibial plateau,posterior medial femoral condyle,and posterior lateral femoral condyle were selected,and the knee joint cartilage thickness was determined based on preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen and digital vernier caliper.The baseline indicators of demographics,disease and imaging ffor patients were collected to construct a dataset,and four models of linear regression analysis,principal component analysis,Least Absolute Shrinkage and Selection Operator(LASSO)regression analysis,and K-nearest neighbors(KNN)analysis were established for predicting the accuracy,determination coefficient(R2)and root mean square error(RMSE),and the regression equation for predicting cartilage thickness was established.Results The knee joint cartilage thicknesses determined by preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen had no statistically significant difference with that by digital vernier caliper(P>0.05).The predictive efficiencies of models of linear regression analysis,principal component analysis,and LASSO regression analysis for the knee joint cartilage thickness all failed to meet the expectations(R2<0.3,RMSE>0.03).The predictive effect of KNN model on the cartilage thickness of the distal femur lateral condyle and lateral tibial plateau was not ideal(R2=0.23,RMSE=0.29),while it had potential predictive value(accuracy=0.21,accuracy=0.15).Conclusion The prediction model of knee joint cartilage thickness based on individual parameters has certain scientificity,and the feasibility of KNN model is relatively high.However,due to insufficient sample size and unclear individual parameter weight,the efficiencies of the four established prediction models are not ideal,which fails to provide definite prediction equations.Therefore,the construction scheme of the prediction model still needs to be further optimized.

After the wooden shipwreck was recovered from the marine underwater environment,the wooden components undergo varying degrees of degradation,therefore,accurately determining the extent of degradation is a fundamental scientific issue for implementing effective preservation strategies.In this work,the wooden remains of Pinus massoniana excavated from the"Nanhai No.1"shipwreck(Southern Song Dynasty)were investigated and compared with the modern wood to discriminate the degradation levels of archaeological wood using attenuated total reflection Fourier transform infrared(ATR-FTIR)spectroscopy.The residual sugar content within wood cell walls was determined using a non-invasive automated microscale ATR-FTIR method to extract chemical information from the wood tangential section.Microstructural characterization of wood samples was conducted by super depth of field microscopy and scanning electron microscopy.FTIR spectral analysis was performed to evaluate the degradation state and elucidate changes in cellulose crystallinity.Finally,the combination of FTIR spectroscopy with the sparse partial least squares discriminant analysis(sPLS-DA)model facilitated the rapid discrimination of degradation levels in shipwreck archaeological wood,and the performance of the model was evaluated using receiver operating characteristic(ROC)curves and area under the curve(AUC).The results showed that the higher the degree of wood degradation,the lower the residual sugar content in the wood cell wall,and the residual glucose content of highly degraded wood was only 4.7％.Significant differences were observed in both the tangential section microstructure and FTIR characteristic absorption patterns across degradation levels,and as the degradation advanced,progressive cell wall loosening occurred alongside selective removal of polysaccharide components,and the relative lignin content was increased,resulting in an elevated A1509/A1370 ratio in FTIR spectra.The sPLS-DA model achieved excellent discrimination performance with AUC values exceeding 0.9,confirming that the combination of FTIR spectroscopy with sPLS-DA enabled accurate assessment of degradation levels in shipwreck archaeological wood.This study developed a rapid and accurate methodology for assessing degradation levels in shipwreck archaeological wood based on microscale ATR-FTIR spectroscopy,which would help to promote the accurate assessment of the preservation state of waterlogged wooden artifacts.

Objective:To evaluate the clinical efficacy of Tianma Xionglin Zhixuan Tablets in treating hypertension patients with liver yang hyperactivity or comorbid phlegm-stasis syndrome and explore its therapeutic mechanisms through plasma metabolomics.Methods:Thirty-six hypertension patients(4 dropouts)diagnosed with liver yang hyperactivity or phlegm-stasis syndrome were enrolled as the treatment group from June 2022 to September 2023 at the First Affiliated Hospital of Hunan University of Chinese Medicine,while 30 healthy volunteers with balanced constitutions were recruited as the blank group.Plasma samples were collected from patients pre-and post-treatment and from healthy volunteers.Clinical outcomes,including syndrome scores,office blood pressure(BP),and 24-hour ambulatory BP,were recorded.Plasma metabolomic profiling was performed using liquid chromatography-mass spectrometry(LC-MS).Results:Compared with baseline,Tianma Xionglin Zhixuan Tablets significantly reduced traditional Chinese medicine syndrome scores(P＜0.01),office systolic/diastolic BP(P＜0.01),and 24-hour ambulatory BP parameters(24-hour mean BP,daytime/nighttime mean BP;all P＜0.01).Metabolomic analysis identified 45 differential metabolites between the blank group and pretreatment patients,and 64 metabolites altered post-treatment(VIP＞1,P＜0.05).Enrichment analysis of 16 overlapping endogenous metabolites revealed that Tianma Xionglin Zhixuan Tablets primarily modulated arachidonic acid metabolism and sphingolipid metabolism pathways.Conclusion:Tianma Xionglin Zhixuan Tablets demonstrates significant clinical efficacy in hypertension patients with liver yang hyperactivity or phlegm-stasis syndrome,potentially mediated through regulation of arachidonic acid and sphingolipid metabolism.

Objective To investigate levels of soluble T cell immunoglobulin mucin domain 3(sTim-3)and soluble growth stimulating gene expression protein 2(sST2)in peripheral blood of patients with alcoholic liver disease(ALD),and their correlation with disease severity.Methods A total of 112 ALD patients in our hospital from June 2021 to June 2023 were selected as the ALD group,including 47 patients with alcoholic fatty liver(AFL group),37 patients with alcoholic steatohepatitis(ASH group)and 28 patients with alcoholic liver cirrhosis(ALC group).Another 112 healthy subjects were used as the control group.Enzyme linked immunosorbent assay was applied to detect serum levels of sTim-3 and sST2.ROC curve was used to analyze the diagnostic value of sTim-3 and sST2 in different clinical types of ALD.The correlation between serum sTim-3,sST2 levels and clinical indicators in ALD patients was analyzed by Pearson correlation analysis.The factors influencing disease severity in ALD patients was analyzed by Logistic regression model.Results The serum levels of sTim-3 and sST2 were higher in the ALD group than those in the control group(P＜0.05).The serum levels of sTim-3 and sST2 were increased successively in the AFL group,the ASH group and the ALC group(P＜0.05).The area under the curve(AUC)of the combined diagnosis of ALC and ASH by sTim-3 and sST2 was significantly larger than that of AUC of the single diagnosis of sTim-3 and sST2(P＜0.05).Levels of glutamic-pyruvic transaminase(ALT),glutamic oxalacetic transaminase(AST),total bilirubin(TBIL),alkaline phosphatase(ALP)and glutamyl transpeptidase(GGT)were increased successively in the AFL group,the ASH group and the ALC group(P＜0.05).The serum levels of sTim-3 and sST2 were positively correlated with levels of ALT,AST,TBIL,ALP and GGT,respectively(P＜0.05).Logistic regression analysis showed that high levels of sTim-3 and sST2 were independent risk factors for severe disease in ALD patients(P＜0.05).Conclusion The serum levels of sTim-3 and sST2 increase in ALD patients,which are related to disease severity in ALD patients.

Objective To determine the knee joint cartilage thickness using different methods and explore the feasibility of mathematical statistical models of dataset for the prediction of cartilage thickness.Methods A total of 304 patients diagnosed as knee osteoarthritis(OA)combined with varus deformity and undergoing unilateral total knee arthroplasty at the Second Affiliated Hospital of Army Medical University from March 2023 to March 2024 were selected for the study.All patients had complete preoperative and postoperative clinical data.The healthy cartilage at four anatomical sites of patients,including the distal femur lateral condyle,lateral tibial plateau,posterior medial femoral condyle,and posterior lateral femoral condyle were selected,and the knee joint cartilage thickness was determined based on preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen and digital vernier caliper.The baseline indicators of demographics,disease and imaging ffor patients were collected to construct a dataset,and four models of linear regression analysis,principal component analysis,Least Absolute Shrinkage and Selection Operator(LASSO)regression analysis,and K-nearest neighbors(KNN)analysis were established for predicting the accuracy,determination coefficient(R2)and root mean square error(RMSE),and the regression equation for predicting cartilage thickness was established.Results The knee joint cartilage thicknesses determined by preoperative MRI analysis,robotic navigation system tracing,tissue section of surgical specimen had no statistically significant difference with that by digital vernier caliper(P>0.05).The predictive efficiencies of models of linear regression analysis,principal component analysis,and LASSO regression analysis for the knee joint cartilage thickness all failed to meet the expectations(R2<0.3,RMSE>0.03).The predictive effect of KNN model on the cartilage thickness of the distal femur lateral condyle and lateral tibial plateau was not ideal(R2=0.23,RMSE=0.29),while it had potential predictive value(accuracy=0.21,accuracy=0.15).Conclusion The prediction model of knee joint cartilage thickness based on individual parameters has certain scientificity,and the feasibility of KNN model is relatively high.However,due to insufficient sample size and unclear individual parameter weight,the efficiencies of the four established prediction models are not ideal,which fails to provide definite prediction equations.Therefore,the construction scheme of the prediction model still needs to be further optimized.

Objective To investigate levels of soluble T cell immunoglobulin mucin domain 3(sTim-3)and soluble growth stimulating gene expression protein 2(sST2)in peripheral blood of patients with alcoholic liver disease(ALD),and their correlation with disease severity.Methods A total of 112 ALD patients in our hospital from June 2021 to June 2023 were selected as the ALD group,including 47 patients with alcoholic fatty liver(AFL group),37 patients with alcoholic steatohepatitis(ASH group)and 28 patients with alcoholic liver cirrhosis(ALC group).Another 112 healthy subjects were used as the control group.Enzyme linked immunosorbent assay was applied to detect serum levels of sTim-3 and sST2.ROC curve was used to analyze the diagnostic value of sTim-3 and sST2 in different clinical types of ALD.The correlation between serum sTim-3,sST2 levels and clinical indicators in ALD patients was analyzed by Pearson correlation analysis.The factors influencing disease severity in ALD patients was analyzed by Logistic regression model.Results The serum levels of sTim-3 and sST2 were higher in the ALD group than those in the control group(P＜0.05).The serum levels of sTim-3 and sST2 were increased successively in the AFL group,the ASH group and the ALC group(P＜0.05).The area under the curve(AUC)of the combined diagnosis of ALC and ASH by sTim-3 and sST2 was significantly larger than that of AUC of the single diagnosis of sTim-3 and sST2(P＜0.05).Levels of glutamic-pyruvic transaminase(ALT),glutamic oxalacetic transaminase(AST),total bilirubin(TBIL),alkaline phosphatase(ALP)and glutamyl transpeptidase(GGT)were increased successively in the AFL group,the ASH group and the ALC group(P＜0.05).The serum levels of sTim-3 and sST2 were positively correlated with levels of ALT,AST,TBIL,ALP and GGT,respectively(P＜0.05).Logistic regression analysis showed that high levels of sTim-3 and sST2 were independent risk factors for severe disease in ALD patients(P＜0.05).Conclusion The serum levels of sTim-3 and sST2 increase in ALD patients,which are related to disease severity in ALD patients.

Objective:To evaluate the clinical efficacy of Tianma Xionglin Zhixuan Tablets in treating hypertension patients with liver yang hyperactivity or comorbid phlegm-stasis syndrome and explore its therapeutic mechanisms through plasma metabolomics.Methods:Thirty-six hypertension patients(4 dropouts)diagnosed with liver yang hyperactivity or phlegm-stasis syndrome were enrolled as the treatment group from June 2022 to September 2023 at the First Affiliated Hospital of Hunan University of Chinese Medicine,while 30 healthy volunteers with balanced constitutions were recruited as the blank group.Plasma samples were collected from patients pre-and post-treatment and from healthy volunteers.Clinical outcomes,including syndrome scores,office blood pressure(BP),and 24-hour ambulatory BP,were recorded.Plasma metabolomic profiling was performed using liquid chromatography-mass spectrometry(LC-MS).Results:Compared with baseline,Tianma Xionglin Zhixuan Tablets significantly reduced traditional Chinese medicine syndrome scores(P＜0.01),office systolic/diastolic BP(P＜0.01),and 24-hour ambulatory BP parameters(24-hour mean BP,daytime/nighttime mean BP;all P＜0.01).Metabolomic analysis identified 45 differential metabolites between the blank group and pretreatment patients,and 64 metabolites altered post-treatment(VIP＞1,P＜0.05).Enrichment analysis of 16 overlapping endogenous metabolites revealed that Tianma Xionglin Zhixuan Tablets primarily modulated arachidonic acid metabolism and sphingolipid metabolism pathways.Conclusion:Tianma Xionglin Zhixuan Tablets demonstrates significant clinical efficacy in hypertension patients with liver yang hyperactivity or phlegm-stasis syndrome,potentially mediated through regulation of arachidonic acid and sphingolipid metabolism.

Objective:To investigate the efficacy and safety of daratumumab based regimens in relapse and/or refractory multiple myeloma(RRMM)in the real world,as well as the impact of daratumumab on stem cell collection and engraftment.Methods:The clinical data of patients with RRMM who received daratumumab in hematology department of the First Affiliated Hospital of Xiamen University from February 2019 to March 2023 and had evaluable efficacy were retrospective analysis.Results:All 43 RRMM patients were treated with daratumumab-based combination regimens,including Dd,DVd,DRd,Dkd,DId,and Dara-DECP.With median follow-up time 10.1(2.1-36.6)months,the best overall response rate(ORR)was 74.4％and a best complete response rate(CR)was 25.6％.1-year overall survival rate(OS)was 84.5％.The most common severe hematologic adverse events(Grade＞3)are 3/4 grade leukopenia(18.6％),and the most common severe non-hematologic adverse events were infusion-related reactions(IRRs,20.9％)and infections(7.0％).Multivariate prognostic analysis showed that extramedullary infiltration was an independent adverse prognostic factor affecting OS(P=0.004).The use of daratumumab has no effect on stem cell collection,or engraftment.Conclusion:Daratumumab is safe and effective in RRMM.

Aim To investigate the effects of Ginkgo biloba extract(GBE)on vascular endothelial dysfunc-tion induced by chronic intermittent hypoxia(CIH)in rats and its related mechanisms.Methods The CIH rat model was established,and 50 and 100 mg·kg-1 GBE was administered by intragastric administration.The systolic blood pressure(SBP)of the tail artery was detected in each group.HE staining was used to detect the morphology of aorta tissue.DAF-FM DA staining and nitric reductase assay were used to detect NO levels.ELISA was used to detect serum ET-1,TNF-α and IL-6 levels.DHE staining was used to de-tect reactive oxygen species(ROS)levels of aortic tis-sue.Kits were used to detect the serum levels of MDA,SOD and GSH-Px.Western blot was used to detect the levels of VCAM-1,ICAM-1,nucleus Nrf2,HO-1 and NQO1 of aortic tissue.Results GBE sig-nificantly decreased the levels of SBP,ET-1,ROS,MDA,VCAM-1,ICAM-1,TNF-α and IL-6,and sig-nificantly increased the levels of NO,SOD,GSH-Px,nuclear Nrf2,HO-1 and NQO1 in CIH rats.GBE sig-nificantly improved the histomorphology of aorta in CIH rats.Conclusions GBE can improve vascular endo-thelial dysfunction and reduce blood pressure in CIH model rats.The mechanism may be related to the acti-vation of Nrf2/ARE pathway and the inhibition of oxi-dative stress and inflammation by GBE.

Objective:To describe the epidemiological distribution of hemorrhoids in a physical exami-nation population in China,which could provide evidence for precision prevention and early intervention of hemorrhoids.Methods:Chinese subjects over 18 years of age who underwent a physical examination in a nationwide chain of physical examination centers in 2018 were studied in a cross-sectional design,which collected information by a questionnaire and physical examination results from each subject.The epidemiological distribution of hemorrhoids was described using Logistic models.The gender-,age-,and region-detection rates of hemorrhoids were standardized to the Sixth National Population Census of the People's Republic of China(2010).Results:A total of 2 940 295 adult subjects were included in the study,of whom the average age was(41.7±14.0)years,and 52.6％were females.The standardized detection rate of hemorrhoids was higher for females(43.7％)than that for males(17.7％;P＜0.001)in this study.In the females,the age distribution of hemorrhoids was inverted U-shaped,with the highest standardized detection rate of hemorrhoids in the age group of 30-39 years(63.5％).In the males,the standardized detection rate of hemorrhoids increased along with age,with the highest percentage of 17.2％in the age group of 50-59 years,and the standardized detection rate of hemorrhoids in the age group of 60 and above decreased slightly(P＜0.001 for trend test).The participants with hypertension had a higher standardized detection rate of hemorrhoids than those with normal blood pressure in both males and females(P＜0.001).The standardized detection rate of hemorrhoids showed a positive corre-lation with body mass index(P＜0.001 for trend test in males).Conclusion:The detection rate of hemorrhoids varied to gender,age,obesity,and hypertension status,which could help to identify the risk factors and the high-risk sub-groups,and hence to strengthen health education and early detection accordingly,which could eventually reduce the incidence of hemorrhoids and improve the quality of life and health in the Chinese population.This study was conducted in a physical examination population,and the conclusions of this study should be extrapolated with caution.