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 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*

BACKGROUND:Pauwels Ⅲ femoral neck fracture is a typical unstable fracture characterized by high vertical shear force and high incidence of postoperative complications.At present,there are many fixation methods for Pauwels Ⅲ fracture,and there is no clear conclusion as to which internal fixation is the best fixation method for Pauwels Ⅲ femoral neck fracture in young adults. OBJECTIVE:To compare the clinical effect of three inverted triangle cannulated screws assisted transverse lag screws and femoral neck system in fixing Pauwels Ⅲ femoral neck fractures of young adults. METHODS:From May 2021 to December 2022,21 young and middle-aged patients with Pauwels Ⅲ femoral neck fracture were treated with three inverted triangle cannulated screws assisted by transverse lag screws and femoral neck system in Affiliated Hospital of Southwest Medical University.Of them,9 patients were treated with three inverted triangle cannulated screws and one transverse lag screws perpendicular to the fracture line as the 3+1 cannulated screw group and 12 patients were treated with femoral neck system as the femoral neck system group.The two fixation methods were compared in terms of operation time,intraoperative blood loss,total incision length,intraoperative fluoroscopy times,fracture healing time,and limb function. RESULTS AND CONCLUSION:(1)All patients were followed up.Patients in the 3+1 cannulated screw group were followed up for 10-25 months,with a mean of(17.44±4.30)months.The patients in the femoral neck system group were followed up for 8-24 months,with a mean of(15.58±4.68)months.(2)The intraoperative fluoroscopy times and Harris score at 3 months postoperatively in the femoral neck system group were better than those in the 3+1 cannulated screw group,and the difference was statistically significant(P<0.05).The intraoperative blood loss,total incision length,and femoral neck shortening distance in the 3+1 cannulated screw group were better than those in the femoral neck system group,and the differences were statistically significant(P<0.05).There was no significant difference in operation time,fracture healing time,and Harris score at the last follow-up between the two groups(P>0.05).(3)It is indicated that three inverted triangle cannulated screws assisted transverse lag screw and femoral neck system can achieve good clinical effects in the treatment of young and middle-aged Pauwels Ⅲ femoral neck fracture.The femoral neck system has fewer intraoperative fluoroscopy times and better early overall stability,while the 3+1 cannulated screw is more minimally invasive,easier to operate.Both fixation methods are worthy of clinical application and promotion,and can be selected according to the actual clinical situation.

Objective To analyze the differences in the correlation of tongue image indicators among patients with benign lung nodules and lung cancer. Methods From July 1,2020 to March 31,2022,clinical information of lung cancer patients and benign lung nodules patients was collected at the Oncology Department of Longhua Hos-pital Affiliated to Shanghai University of Traditional Chinese Medicine and the Physical Ex-amination Center of Shuguang Hospital Affiliated to Shanghai University of Traditional Chi-nese Medicine,respectively.We obtained tongue images from patients with benign lung nod-ules and lung cancer using the TFDA-1 digital tongue diagnosis instrument,and analyzed these images with the TDAS V2.0 software.The extracted indicators included color space pa-rameters in the Lab system for both the tongue body(TB)and tongue coating(TC)(TB/TC-L,TB/TC-a,and TB/TC-b),textural parameters[TB/TC-contrast(CON),TB/TC-angular second moment(ASM),TB/TC-entropy(ENT),and TB/TC-MEAN],as well as TC parameters(perAll and perPart).The bivariate correlation of TB and TC features was analyzed using Pearson's or Spearman's correlation analysis,and the overall correlation was analyzed using canonical correlation analysis(CCA). Results Samples from 307 patients with benign lung nodules and 276 lung cancer patients were included after excluding outliers and extreme values.Simple correlation analysis indi-cated that the correlation of TB-L with TC-L,TB-b with TC-b,and TB-b with perAll in lung cancer group was higher than that in benign nodules group.Moreover,the correlation of TB-a with TC-a,TB-a with perAll,and the texture parameters of the TB(TB-CON,TB-ASM,TB-ENT,and TB-MEAN)with the texture parameters of the TC(TC-CON,TC-ASM,TC-ENT,and TC-MEAN)in benign nodules group was higher than lung cancer group.CCA further demon-strated a strong correlation between the TB and TC parameters in lung cancer group,with the first and second pairs of typical variables in benign nodules and lung cancer groups indicat-ing correlation coefficients of 0.918 and 0.817(P<0.05),and 0.940 and 0.822(P<0.05),re-spectively. Conclusion Benign lung nodules and lung cancer patients exhibited differences in correla-tion in the L,a,and b values of the TB and TC,as well as the perAll value of the TC,and the texture parameters(TB/TC-CON,TB/TC-ASM,TB/TC-ENT,and TB/TC-MEAN)between the TB and TC.Additionally,there were differences in the overall correlation of the TB and TC be-tween the two groups.Objective tongue diagnosis indicators can effectively assist in the diag-nosis of benign lung nodules and lung cancer,thereby providing a scientific basis for the ear-ly detection,diagnosis,and treatment of lung cancer.

Objective To explore the plasma-activated medium(PAM)produced by low temperature plasma(LTP)on the proliferation and angiogenesis of human umbilical vein endothelial cells(HUVECs)so as to provide theoretical basis for the future use of PAM to promote wound healing and inhibit tumor angiogenesis.Methods HUVECs were selected as the in vitro research model.The PAM-containing medium after LTP treatment for different time points(0 s,15 s,30 s,45 s,60 s,and 75 s)was used for intervention.The influence of PAM on HUVECs viability was assessed using the MTT assay and cell cycle analysis.The effects of PAM on angiogenesis were examined through angiogenesis experiments.Intracellular levels of reactive oxygen species(ROS)were measured using fluorescence probes.A melanoma mouse model was established,and CD31 expression was detected by immunohistochemistry.Results As the treatment time increased,the intracellular levels of ROS also elevated.PAM derived from LTP exhibited a bidirectional effect on angiogenesis in HUVECs.Compared to the control group(0 s),low-dose treatments(15 s and 30 s)enhanced HUVECs viability,while high-dose treatments(45 s,60 s,and 75 s)significantly decreased cell viability(P＜0.05).The proportion of HUVECs in the S phase was significantly increased in the PAM-15 s and PAM-30 s groups,but markedly decreased in the PAM-45 s,PAM-60 s,and PAM-75 s groups,with statistically significant differences(P＜0.05).The HUVECs tube formation ability was enhanced in the 15 s and 30 s PAM groups,but diminished in the PAM-45 s,PAM-60 s,and PAM-75 s groups,characterized by the decreased numbers of vascular nodes,intersections,meshes,and branching points(P＜0.05).After PAM treatment in the melanoma mouse model,the control group exhibited widespread distribution of CD31 in tumor tissue,while the PAM-5 min and PAM-10 min groups displayed reduced distribution of CD31.Conclusion Short-term exposure to PAM enhances HUVECs proliferation and angiogenesis,whereas prolonged exposure suppresses cell viability and inhibits angiogenesis.

Methods: From September 3, 2018, to March 23, 2024, participants with essential hypertension (receiving antihypertensive medication treatment, hypertension group) and normal blood pressure (control group) were recruited from the Cardiology Department of Shanghai Hospital of Traditional Chinese Medicine, the Coronary Care Unit of Shanghai Tenth People's Hospital, the Physical Examination Center of Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, and the Gaohang Community Health Service Center. This study employed the propensity score matching (PSM) method to reduce study participants selection bias. Spectral information in the facial visible light spectrum of the subjects was collected using a flame spectrometer, and the spectral chromaticity values were calculated using the equal-interval wavelength method. The study analyzed the differences in spectral reflectance across various facial regions, including the entire face, forehead, glabella, nose, jaw, left and right zygomatic regions, left and right cheek regions as well as differences in parameters within the Lab color space between the two subject groups. Feature selection was conducted using least absolute shrinkage and selection operator (LASSO) regression, followed by the application of various machine learning algorithms, including logistic regression (LR), support vector machine (SVM), random forest (RF), Naïve Bayes (NB), and eXtreme Gradient Boosting (XGB). The reduced-dimensional dataset was split in a 7 : 3 ratio to establish a classification and assessment model for facial coloration related to primary hypertension. Additionally, model fusion techniques were applied to enhance the predictive power. The performance of the models was evaluated using metrics including the area under the curve (AUC) and accuracy. Shapley Additive exPlanations (SHAP) was used to interpret the outcomes of the models. Results: A total of 114 participants were included in both hypertension and control groups. Reflectance analysis across the entire face and eight predefined areas revealed that the hypertensive group exhibited significantly higher reflectance of corresponding color light in the blue-violet region (P < 0.05) and a lower reflectance in the red region (P < 0.05) compared with control group. Analysis of Lab color space parameters across the entire face and eight predefined areas showed that hypertensive group had significantly lower a and b values than control group (P < 0.05). LASSO regression analysis identified a total of 18 facial color features that were highly correlated with hypertension, including the a values of the chin and the right cheek, the reflectance at 380 nm and at 780 nm of the forehead. The results of the multi-model classification showed that the RF classification model was the most effective, with an AUC of 0.74 and an accuracy of 0.77. The combined model of RF + LR + SVM outperformed a single model in their classification performance, achieving an AUC of 0.80 and an accuracy of 0.76. SHAP model visualization results indicated that the top three contributors to ideal prediction results based on the characteristics from the facial spectrum were the reflectance at 380 nm across the entire face and of the nose as well as the a value of the chin. Conclusion Within the same age group, patients with essential hypertension exhibited significant and regular changes in facial color and facial spectral reflectance parameters after the administration of antihypertensive drugs. Furthermore, facial reflectance indicators, such as the overall reflectance at 380 nm and the a value of the chin, could offer valuable references for clinically assessing the drug efficacy and health status of patients with essential hypertension.

ObjectiveTo explore the interaction between bruceoside B and gut microbiota and the inhibitory activity of its metabolites on human lung cancer A549 cells， and to explore the value of bruceoside B in the treatment of non-small cell lung cancer（NSCLC）. MethodBruceoside B was co-incubated with the human gut microbiota under anoxic conditions in vitro， and ultra high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS） was used to analyze the metabolic transformation products. Cell counting kit-8（CCK-8） assay was performed to determine the effects of bruceoside B and its metabolites on the proliferation of human lung cancer A549 cells and the half inhibitory concentration（IC₅₀） was calculated. Five healthy male rats were gavaged with bruceoside B（2 mg·kg^-1） for 7 days after adaptive feeding. The feces of rats were collected before and after administration. 16S rRNA sequencing was used to assess gut microbiota. ResultBruceoside B was mainly metabolized to brusatol by human gut microbiota， the IC₅₀ of bruceoside B and the conversion product to A549 cells were 1 755.50， 19.57 μmol·L^-1， respectively， and the conversion product had a better activity at inhibiting A549 cells proliferation than bruceoside B. Additionally， The results of intestinal flora analysis showed no significant differences in α diversity and β diversity of gut microbiota after administration. In terms of species abundance， at the phylum level， bruceoside B decreased the relative abundance of Actinobacteriota and Proteobacteria， increased the relative abundance of Firmicutes， Patescibacteria and Cyanobacteria. At the genus level， bruceoside B decreased the relative abundance of Staphylococcus， Aerococcus and Psychrobacter， increased the relative abundance of Romboutsia， Lactobacillus， Clostridium sensu stricto 1， Norank-f-norank-o-Clostridia-UCG-014， Turicibacter， Allobaculum and Candidatus Saccharimonas. The results of functional prediction showed that the gut microbiota functional compositions were relatively stable. ConclusionBruceoside B can be deglycosylated by intestinal flora and converted into brusatol， with a significant increase in antitumor activity. The administration of bruceoside B will not cause significant changes in the structure and function of the intestinal flora， resulting in intestinal microecological balance disorders， and the administration appears to be beneficial to the intestinal flora of NSCLC patients.

Objective To analyze the objective tongue diagnosis data characteristics of benign and malignant pulmonary nodules and to establish a lung cancer risk warning model based on the logistic regression method.Methods From July 2020 to March 2022,263 lung cancer patients(lung cancer group)from the Oncology Department of Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,292 benign pulmonary nodules patients(benign pulmonary nodules group)from the Physical Examination Center of Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,and 307 healthy individuals(healthy control group)were selected.TFDA-1 digital tongue diagnostic instrument was used to collect tongue images.Objective diagnostic features of the tongue were obtained through feature extraction technology.The distribution characteristics of the tongue indicators of the three groups of subjects were analyzed.A lung cancer warning model was established based on logistic regression method after feature screening,and the performance of the model was evaluated using sensitivity,specificity,accuracy,and AUC.Results The tongue features of patients in benign pulmonary nodules group were similar to those of the healthy control group,while the tongue features of the lung cancer group differed greatly from those of the healthy control group and benign pulmonary nodules group.The tongue features of lung cancer patients were dark and opaque,the tongue body was reddish,and the tongue coating is thin and yellowish with a greasy texture.The accuracy,sensitivity,specificity and AUC of the lung cancer warning model based on tongue image data were 70.09%,69.94%,70.29%and 0.769,respectively.After adding baseline information to the tongue image data set,the models'performance was improved.The accuracy,sensitivity,specificity and AUC of the new model based on tongue and baseline were 77.30%,75.94%,79.15%and 0.812,respectively.Conclusion The statistical characteristics of objective tongue image data between benign pulmonary nodules and lung cancer patients show significant differences.The lung cancer classification model based on objective tongue data performs well,and the objective tongue diagnosis data in TCM can provide reference for the differential diagnosis of benign pulmonary nodules and lung cancer.

Objective:To carry out clinical and genetic analysis for a child featuring Brain-Lung-Thyroid syndrome (BLTS).Methods:A child who had presented at the Children′s Hospital Affiliated to Shandong University on May 27, 2022 was selected as the study subject. Clinical data was collected. Trio-whole exome sequencing (Trio-WES) was carried out for the child and his parents, and candidate variant was verified by Sanger sequencing and bioinformatic analysis. The child was given individualized treatment following the diagnosis.Results:The child, a two-year-and-seven-month-old boy, had presented with global developmental delay, ataxia and hypothyroidism. WES revealed that he has harbored a heterozygous c. 674C>T variant of the NKX2-1 gene, based on which he was diagnosed with BLTS. CT scan revealed interstitial and parenchymal inflammation in his lungs, which was reduced by budesonide aerosol inhalation. Conclusion:Discovery of the novel c. 674C>T variant has enriched the mutational spectrum of the NKX2-1 gene. Budesonide aerosol may be used to treat lung inflammation associated with BLTS.