ObjectiveTo characterize the quality differences among different germplasm and introduced varieties of Bupleurum scorzonerifolium roots（BSR）， and explore the underlying molecular mechanisms， providing a basis for high-quality production and quality control. MethodsWild BSR from Yulin（YLW） served as the quality reference， we conducted comparative analysis among YLW， locally domesticated wild germplasm in Yulin（YLC3）， Daqing germplasm introduced and cultivated in Yulin（YLDQC3）， and locally cultivated germplasm in Daqing（DQC3）. A combination of traditional pharmacognostic methods and modern multi-omics analyses was employed， including macroscopic traits（appearance， odor）， microscopic features（proportions of cork， phloem， xylem）， cell wall component contents（hemicellulose， cellulose， lignin）， carbohydrate contents（starch， water-soluble polysaccharides）， marker compound contents（ethanol-soluble extracts， total saponins， liposoluble extracts， and saikosaponins A， B₂， C， D）， metabolomics， and transcriptomics， in order to systematically characterize quality differences and investigate molecular mechanisms among these samples. ResultsMacroscopically， Yulin-produced BSR（YLW， YLC3， YLDQC3） exhibited significantly greater weight， length， and upper and middle diameters than Daqing-produced BSR（DQC3）. Odor-wise， YLW and YLC3 had a a fragrance taste， YLDQC3 had a rancid oil odor， and DQC3 had a sweet and fragrant taste. Microscopically， Yulin germplasm（YLW， YLC3） and Daqing germplasm（YLDQC3， DQC3） shared similar structural features， respectively. However， Yulin germplasm showed significantly higher proportions of cork and phloem， as well as stronger xylem vessel staining intensity compared to Daqing germplasm. Regarding various component contents， Yulin germplasm contained significantly higher levels of ethanol-soluble extracts， total saponins， and saikosaponins A， B₂， C， D， while Daqing germplasm had significantly higher levels of hemicellulose， starch， and liposoluble extracts. After introduction to Yulin， the Daqing germplasm（YLDQC3） showed increased starch， water-soluble polysaccharides and liposoluble extracts contents， decreased cell wall component content， but no significant difference in other component contents. Metabolomics revealed that saponins and terpenes accumulated significantly in Yulin germplasm， while alcohols and aldehydes accumulated predominantly in Daqing germplasm. Transcriptomics indicated similar gene expression patterns within the same germplasm but specificity between different germplasms. Integrative metabolomic-transcriptomic analysis identified 145 potential key genes associated with the saikosaponin biosynthesis pathway， including one acetyl-coenzyme A（CoA） acetyltransferase gene（ACAT）， one 3-hydroxy-3-methylglutaryl-coenzyme A synthase gene（HMGS）， two hydroxymethylglutaryl-CoA（HMG-CoA） reductase genes（HMG）， one phosphomevalonate kinase gene（PMK）， one 1-deoxy-D-xylose-5-phosphate synthase gene（CLA）， one hydroxymethylbuten-1-aldol synthase gene（HDR）， two farnesyl pyrophosphate synthase genes（FPPS）， one squalene synthase gene（SQS）， one β-amyrin synthase gene（BAS）， 102 cytochrome P450（CYP450） gene family members， and 32 uridine diphosphate-glucuronosyltransferase（UGT） gene family members. ConclusionAmong the three cultivated types， YLC3 most closely resembles YLW in appearance， microscopic features， contents of major bioactive constituents， metabolomic and transcriptomic profiles. Yulin germplasm exhibits superior saponin synthesis capability compared to Daqing germplasm， and Yulin region is more suitable for the growth of B. scorzonerifolium. Based on these findings， it is recommended that artificial cultivation in northern Shaanxi and similar regions utilize the local Yulin germplasm source cultivated for at least three years.

Objective: To explore the feasibility of constructing a lung cancer early-warning risk model based on facial image features, providing novel insights into the early screening of lung cancer. Methods: This study included patients with pulmonary nodules diagnosed at the Physical Examination Center of Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from November 1, 2019 to December 31, 2024, as well as patients with lung cancer diagnosed in the Oncology Departments of Yueyang Hospital of Integrated Traditional Chinese and Western Medicine and Longhua Hospital during the same period. The facial image information of patients with pulmonary nodules and lung cancer was collected using the TFDA-1 tongue and facial diagnosis instrument, and the facial diagnosis features were extracted from it by deep learning technology. Statistical analysis was conducted on the objective facial diagnosis characteristics of the two groups of participants to explore the differences in their facial image characteristics, and the least absolute shrinkage and selection operator (LASSO) regression was used to screen the characteristic variables. Based on the screened feature variables, four machine learning methods: random forest, logistic regression, support vector machine (SVM), and gradient boosting decision tree (GBDT) were used to establish lung cancer classification models independently. Meanwhile, the model performance was evaluated by indicators such as sensitivity, specificity, F1 score, precision, accuracy, the area under the receiver operating characteristic (ROC) curve (AUC), and the area under the precision-recall curve (AP). Results: A total of 1 275 patients with pulmonary nodules and 1 623 patients with lung cancer were included in this study. After propensity score matching (PSM) to adjust for gender and age, 535 patients were finally included in the pulmonary nodule group and the lung cancer group, respectively. There were significant differences in multiple color space metrics (such as R, G, B, V, L, a, b, Cr, H, Y, and Cb) and texture metrics [such as gray-levcl co-occurrence matrix (GLCM)-contrast (CON) and GLCM-inverse different moment (IDM)] between the two groups of individuals with pulmonary nodules and lung cancer (P < 0.05). To construct a classification model, LASSO regression was used to select 63 key features from the initial 136 facial features. Based on this feature set, the SVM model demonstrated the best performance after 10-fold stratified cross-validation. The model achieved an average AUC of 0.8729 and average accuracy of 0.799 0 on the internal test set. Further validation on an independent test set confirmed the model’s robust performance (AUC = 0.823 3, accuracy = 0.729 0), indicating its good generalization ability. Feature importance analysis demonstrated that color space indicators and the whole/lip Cr components (including color-B-0, wholecolor-Cr, and lipcolor-Cr) were the core factors in the model’s classification decisions, while texture indicators [GLCM-angular second moment (ASM)_2, GLCM-IDM_1, GLCM-CON_1, GLCM-entropy (ENT)_2] played an important auxiliary role. Conclusion The facial image features of patients with lung cancer and pulmonary nodules show significant differences in color and texture characteristics in multiple areas. The various models constructed based on facial image features all demonstrate good performance, indicating that facial image features can serve as potential biomarkers for lung cancer risk prediction, providing a non-invasive and feasible new approach for early lung cancer screening.

Objective To study the tongue manifestation of patients with different syndromes in non-small cell lung cancer(NSCLC)and the correlation between tongue characteristics of different syndromes and tumor markers and coagulation indicators.Methods Totally 497 patients with NSCLC were grouped according to syndrome differentiation,and the differences in tongue characteristics of different syndromes were compared.Bivariate correlation analysis was used to study the correlation between tongue characteristics and serum tumor markers and coagulation indicators in patients with NSCLC of different syndromes.Results Compared with healthy people of different syndromes,in TB-a,yin deficiency and phlegm-heat syndrome>healthy group>qi-yin deficiency syndrome>spleen deficiency and phlegm-dampness syndrome>lung stagnation and phlegm-stasis syndrome(P<0.001).In TB-L,healthy group>spleen deficiency and phlegm-dampness syndrome>qi-yin deficiency syndrome>lung stagnation and phlegm-stasis syndrome>yin deficiency and phlegm-heat syndrome(P<0.001).In TB-b,yin deficiency and phlegm-heat syndrome>qi-yin deficiency syndrome>spleen deficiency and phlegm-dampness syndrome>healthy group>lung stagnation and phlegm-stasis syndrome(P<0.001).Yin deficiency and phlegm-heat syndrome had the highest TB-a and the lowest Per-all.Spleen deficiency and phlegm-dampness syndrome had the highest TB-L and Per-all.Lung stagnation and phlegm-stasis syndrome had lower TB-b and TC-b than other groups,lower TB-a than the healthy group,and a high Per-all index(P<0.05).In terms of tumor markers,Per-all in spleen deficiency and phlegm-dampness syndrome was positively correlated with Ca199,Ca50 and Ca242(P<0.05).In terms of coagulation indicators,the tongue texture index of lung stagnation and phlegm-stasis syndrome had a high correlation with the coagulation indicator Fg(P<0.01).Conclusion Different TCM syndromes of NSCLC have their own typical tongue characteristics.Tongue manifestations of different syndromes are correlated with tumor markers and coagulation indicators,respectively,which can reflect changes in clinical status.

Childhood primary renal tubular diseases are chronic kidney diseases characterized by impaired renal tubular reabsorption. Primary renal tubular disease has diverse clinical manifestations and lacks of specificity. Laboratory tests are limited，making it prone to missed diagnosis and misdiagnosis. Based on the current knowledge of renal tubular diseases，authors propose early warning signals of renal tubular diseases such as family history of primary tubular diseases，unexplained polyhydramnios during pregnancy，polydipsia，polyuria，delayed growth and development or rickets，decreased muscle strength and tone，unexplained electrolyte disturbance，hyperuricemia，acid-base disturbance，positive urine sugar test，renal tubular proteinuria，urinary imaging examination suggesting kidney stones，calcium deposition，renal cysts and early onset of eye，ear，joint and neuron injury.Meanwhile，some universal management strategies for primary renal tubular disease are proposed，emphasizing the importance of multidisciplinary collaboration，genetic testing and individualized intervention to improve the long-term prognosis of childhood primary renal tubular diseases.

Objective To determine the effect of knee extension constraint training on bilateral knee biomechanics and bilateral symmetry in running after anterior cruciate ligament reconstruction(ACLR).Methods A total of 33 male patients with unilateral ACL injuries were randomly assigned to a BRACE group of 14 wearing a brace with limitation of knee extension,a PLACEBO group of 10 wear-ing a brace without limitation of knee extension,and a CONTROL group of 9,wearing no brace.All groups underwent unilateral hamstring-auto graft ACLR surgery,immediately followed by 12-week rou-tine rehabilitation.Between week 13 and 48,both the BRACE and PLACEBO groups wore braces for one hour on Mondays.Then,running biomechanical tests were performed at the ends of Week 12 and Week 48,and the bilateral knee extension/flexion angle,moment and inter-leg difference(ILD)were calculated.One-dimensional statistical parametric mapping(SPM1d)two-way ANOVA with repeated measures on one factor was used to identify differences in bilateral knee biomechanics and ILD among the three groups before and after the intervention.Results There was no significant interaction effect of group and time on bilateral knee flexion angle,knee extension moment,and ILD in running(P>0.05).Moreover,no significant effect of group was found on the bilateral knee biomechanics and ILD in running(P>0.05).Additionally,significant effects of time were observed on bilateral knee flexion angle and extension moment in running.However,bilateral knee flexion angle decreased during termi-nal stance(ACLR leg:89%～100%,P=0.036;non-ACLR leg:94%～100%,P=0.046),while the bi-lateral knee extension moment increased during mid-stance(ACLR leg:17%～59%,P<0.001;non-ACLR leg:38%～61%,P<0.001)between week 12 and 48.Conclusion In this study,no improvement was found in the abnormal knee biomechanics and symmetry during running in male patients after uni-lateral ACL reconstruction through long-term knee extension constraint training.Moreover,within one year after ACL reconstruction,the knee extension moment of the surgical limb increased gradually over time,with no changes in the knee flexion angle of the surgical limb and bilateral knee symme-try,suggesting that abnormal knee biomechanics and bilateral symmetry should be paid attention to in the post-surgery rehabilitation.

Objective To investigate the tongue image characteristics of patients in postoperative colorectal cancer and significant tongue image features using a multinomial Logistic regression model.Methods Totally 213 postoperative patients with colorectal cancer were included.TFDA-1 digital tongue diagnostic instrument was used to collect the tongue images of patients,and the statistical differences of tongue image characteristics of patients with qi deficiency syndrome,yin deficiency syndrome,phlegm dampness syndrome and blood stasis syndrome were analyzed.Multiple Logistic regression was used to analyze the different tongue image indexes of different syndrome types.Results In the tongue coating index,perAll had the following distribution order:yin deficiency syndromeqi deficiency syndrome>blood stasis syndrome.In the texture indexes,CON,ENT and MEAN had the following distribution order:phlegm-dampness syndrome>yin deficiency syndrome>qi deficiency syndrome>blood stasis syndrome.ASM had the following distribution order:phlegm-dampness syndromeqi deficiency syndrome>blood stasis syndrome.TB-a had the following distribution order:phlegm-dampness syndromeqi deficiency syndrome>phlegm-dampness syndrome>blood stasis syndrome.TC-L had the following distribution order:blood stasis syndromeqi deficiency syndrome>blood stasis syndrome>phlegm-dampness syndrome.TC-b had the following distribution order:yin deficiency syndrome>qi deficiency syndrome>blood stasis syndrome.In the multinomial Logistic regression model,compared with the qi deficiency syndrome,the probability of being diagnosed with the yin deficiency syndrome increased when TB-L and TC-a decreased.Additionally,the probability of being diagnosed with the phlegm-dampness syndrome increased when TB-b and TC-a decreased and TC-b increased;TB-b and TC-L decreased,principal component 1 of texture index increased,and the probability of syndrome differentiation as blood stasis syndrome was higher.Conclusion The tongue image characteristics of different TCM syndromes in postoperative colorectal cancer patients exhibit certain patterns,which can serve as an objective reference for TCM differentiation and diagnosis.

Objective By applying the long short-term memory(LSTM)neural network model and using lower body landmark coordinates obtained from a markerless motion capture system as inputs,to estimate ground reaction force(GRF)curves during running.Methods The video images and GRF data of 59 amateur runners during running were collected by the markerless motion capture system and three-dimensional(3D)force plates.The LSTM model was established,and the 3D coordinates of 11 lower body landmarks,obtained via the Theia3D markerless system,were used as inputs to estimate the 3D GRF curves during the stance of running.The estimation performance was evaluated using correlation coefficients r,root mean square error(RMSE),and normalized root mean square error(nRMSE)by comparing LSTM model estimation and force plate measurement.Statistical parametric mapping was used to analyze differences in GRF curves estimated by the LSTM model and measured by the force plate,while paired t-tests were used to assess differences in GRF characteristics between model estimation and actual measurement.Results A strong correlation(r＞0.85,P＜0.001)and lower error(RMSE＜0.3 body weight,nRMSE＜15％)was found between the LSTM model estimation and actual measurements.No significant difference was found in GRF curve intervals between LSTM model estimation and actual measurements.There was no significant difference in GRF characteristics between LSTM model estimation and actual measurements(P＞0.05).Conclusions Based on the LSTM model,the 3D GRF curves can be effectively estimated by lower body landmark coordinates obtained from the makerless motion capture system,thereby acquiring the highly accurate GRF characteristics.The LSTM model developed in this study can be used to monitor injury risks during running in outdoor environments.

Objective:To investigate the potential characteristic manifestations and application value of the Dynamic Visual Acuity Test（DVAT） in vestibular migraine（VM）. Methods:A total of 50 VM patients（case group） and 50 healthy subjects（control group） diagnosed at the Department of Otorhinolaryngology Head and Neck Surgery, First Hospital of Shanxi Medical University between November 1, 2023, and December 31, 2024, were enrolled. The case group underwent DVAT, video head impulse test（vHIT）, caloric test, and Dizziness Handicap Inventory（DHI） assessment, whereas the control group only received DVAT. Group-based analyses were conducted to examine the effect of age on Dynamic Visual Acuity Loss（DVALoss）, as well as the correlations of DVALoss with vestibular function tests and DHI scores. Results:DVALoss in the case group was significantly higher than that in the control group（P<0.001）. In both groups, age was significantly and positively correlated with DVALoss（P<0.001）. Within the case group, DVALoss was strongly and positively correlated with DHI scores（r=0.807, P<0.001）; it was negatively correlated with the vestibulo-ocular reflex（VOR） gain in vHIT, though without clinical significance, and showed no significant association with the caloric test. Age and DVALoss collectively accounted for 71.3% of the variance in DHI scores（R²=0.713）, with age exerting a relatively minor actual impact. Conclusion:DVAT can sensitively identify the core functional impairments of VM. DVALoss, as a direct functional reflection of the pathological mechanism of VM, is strongly correlated with DHI scores. Incorporating DVALoss into standardized assessments may provide an objective basis for the diagnosis and management of VM.
Humans ; Migraine Disorders/diagnosis* ; Visual Acuity ; Case-Control Studies ; Head Impulse Test ; Vestibular Function Tests ; Female ; Male ; Adult ; Vestibular Diseases/physiopathology* ; Middle Aged ; Caloric Tests

Hepatic ischemia/reperfusion injury (IRI) remains a critical complication contributing to graft dysfunction following liver surgery. As part of an ongoing search for hepatoprotective natural products, five previously unreported homoadamantane-type polycyclic polyprenylated acylphloroglucinols (PPAPs), named hyperhomanoons A-E (1-5), and one known analog, hypersampsone O (6), were isolated from Hypericum patulum. Among these, compound 6 demonstrated potent protective effects against CoCl₂-induced hypoxic injury in hepatocytes. Furthermore, in a murine model of hepatic IRI induced by vascular occlusion, pretreatment with 6 markedly alleviated liver damage and reduced hepatocyte apoptosis. This study is the first to identify PPAPs as promising scaffolds for the development of therapeutic agents targeting hepatic IRI, underscoring their potential as lead compounds in drug discovery efforts for ischemic liver diseases.
Reperfusion Injury/prevention & control* ; Animals ; Hypericum/chemistry* ; Phloroglucinol/administration & dosage* ; Mice ; Humans ; Male ; Liver/blood supply* ; Apoptosis/drug effects* ; Molecular Structure ; Protective Agents/pharmacology* ; Hepatocytes/drug effects* ; Mice, Inbred C57BL ; Liver Diseases/drug therapy*

Objective To analyze the characteristics of facial and tongue chromaticity parameters in patients with gastrointestinal tumors by setting the inspection image characteristics of patients with gastrointestinal tumors as the main research content;To establish an auxiliary diagnostic model for gastrointestinal tumors.Methods One-way ANOVA,t-test,Mann-whitney U test,canonical correlation analysis and Spearman statistical methods were used to analyze the characteristics of inspection image indexes and correlation of tumor markers of the 391 cases in the control group and 359 patients with gastrointestinal tumors.Machine learning methods such as SVM,Random Forest,KNN,Naive Bayes,XG Boost and Ada Boost were used to establish an auxiliary diagnostic model for gastrointestinal tumors.Results In terms of facial indicators,there were differences in F-R,F-G and F-B indicators among the control group,early-stage gastrointestinal cancer patients,and mid-to late-stage gastrointestinal cancer patients,in the comparison of tongue features among,TC-L,TB-L and TB-a of the control group,patients with early gastrointestinal tumors,and patients with intermediate and advanced gastrointestinal tumors showed a gradual downward trend;the AUC of the auxiliary diagnosis model of gastrointestinal tumor disease based on the chromaticity parameters of face tongue image constructed by Ada Boost algorithm was 0.930.Conclusion The auxiliary diagnostic model of gastrointestinal diseases constructed by facial and tongue images has good diagnostic effect,which can provide objective data support for in-depth exploration of the complex relationship between diagnosis and disease.