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 explore the mechanism of Gualou Xiebai Baijiu Decoction(GXB)in improving atherosclerosis(AS)in mice by regulating the gut microbiota(GM)and its metabolites.Methods Thirty-two male ApoE-/-mice were divided randomly into a Blank group,Model group,atorvastatin(Ato)group,and GXB group(n=8 mice per group).AS was established in all mice,except the Blank group,and the respective treatments were administered by gavage.Aortic plaques were detected by Oil red O staining and pathological changes in aortic tissue were detected by hematoxylin and eosin staining.The GM was analyzed using 16S rRNA gene sequencing technology,and mouse GM metabolites,including trimethylamine oxide(TMAO),short-chain fatty acids(SCFA),and serum levels of triglycerides(TG),total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol(HDL-C),and nitric oxide(NO)were determined.Results Compared with the Blank group,mice in the Model and Ato groups showed an increase in AS plaque area(P＜0.05).Serum levels of TG,TC,and LDL-C were increased(P＜0.001)while levels of HDL-C and NO were decreased(P＜0.01,P＜0.001)in the Model group compared with the Blank group.The plaque area was decreased(P＜0.05),serum levels of TG,TC,and LDL-C were decreased(P＜0.001),and NO levels were increased(P＜0.01)in the Ato and GXB groups,while HDL-C levels were increased in the GXB group(P＜0.05)compared with the Model group.Plaque area was decreased(P＜0.05)and the NO level was increased(P＜0.01)in the GXB group compared with the Ato group.A total of 6345 characteristic sequences were obtained from 16S rRNA analysis.α-Diversity analysis indicated that GXB reduced the richness of the GM in AS mice(P＜0.001)and improved its uniformity(P＜0.05).β-Diversity analysis suggested that the microbial community structure in the GXB group was similar to that in the Blank group.The abundance of microbial communities differed among the groups at the phylum and genus levels.At the phylum level,the abundance of Proteobacteria was increased(P＜0.01)in AS mice,while GXB intervention reduced the abundance of Proteobacteria(P＜0.01)and increased the abundance of Verrucomimicrobiota(P＜0.05).At the genus level,GXB effectively increased the abundance of Akkermansia(P＜0.05).SCFAs were significantly increased(P＜0.01)and TMAO levels were significantly decreased(P＜0.01)in the GXB group compared with the Model group.Conclusions GXB can regulate the intestinal flora and intestinal flora metabolites SCFA and TMAO to improve AS.Akkermansia may be a key bacterial genus of the gut microbiota through which GXB may improve AS.

Objective To explore the prognostic value of the coronary angiography-derived index of microcirculatory resistance(caIMR)for major adverse cardiovascular events(MACE)in patients with acute ST-segment elevation myocardial infarction(STEMI)after primary percutaneous coronary intervention(PCI).Methods Between September 2019 and March 2022,541 patients diagnosed with STEMI at the Affiliated Hospital of Xuzhou Medical University were enrolled.The caIMR was calculated using the FlashAngio system(Suzhou Rainmed Medical Technology Co.,Ltd.).The patients were divided into MACE and non-MACE groups according to the occurrence of MACE during hospitalization or follow-up,with MACE defined as all-cause mortality,heart failure readmission,and unplanned revascularization.COX regression analysis,receiver operating characteristic(ROC)curves,and Kaplan-Meier survival curves were used to evaluate the prognostic value of caIMR for STEMI patients after primary PCI.Results During the 1-year follow-up,61 patients(11.28％)experienced MACE.The patients in the MACE group had higher caIMR values than those in the non-MACE group.Multivariate COX analysis showed that caIMR was an independent risk factor for MACE.ROC curve analysis showed that caIMR predicted MACE with an area under the curve of 0.688,and the optimal cutoff value was 25.3 U.caIMR significantly increased the discriminant and reclassification indexes when added to a model with clinical risk factors.The patients were further divided into a low caIMR group(caIMR＜25 U,n=377)and a high caIMR group(caIMR ≥25 U,n=164).Kaplan-Meier curve showed that patients with caIMR≥25 U had a worse prognosis.Conclusions caIMR is an independent risk factor for poor prognosis after PCI in patients with STEMI,and patients with caIMR≥25 U had a worse prognosis.

AIM:To explore the roles and associations of hepatocyte nuclear factor 4 alpha(HNF4A)and mu-protocadherin(MUCDHL)in the kidney of diabetic mice.METHODS:(1)A cohort of six 12-week-old db/m mice and six db/db mice were selected and maintained on a standard diet until 16 weeks.The protein levels of fibronectin(FN),collagen type III(Col-III),E-cadherin,α-smooth muscle actin(α-SMA),HNF4A,Snail and MUCDHL in renal tissues were scrutinized using Western blot.Immunohistochemical staining was conducted to observe the distribution and expres-sion of FN,HNF4A and MUCDHL.(2)Mouse renal tubular epithelial cells(mRTEC)were cultured in vitro and catego-rized into groups:normal glucose(NG)group,high glucose(HG)group,overexpression control groups(NG+vector and HG+vector),overexpression groups(NG+OE-MUCDHL,HG+OE-MUCDHL,NG+OE-HNF4A and HG+OE-HNF4A),knockdown control groups(NG+control and HG+control),and knockdown groups(NG+si-MUCDHL,HG+si-MUCDHL,NG+si-HNF4A and HG+si-HNF4A).The relevant protein levels were also detected by Western blot.RESULTS:(1)In db/db group,elevated body weight,blood glucose and urine albumin-to-creatinine ratio(UACR)indicated significant re-nal injury.Compared with db/m group,the mice in db/db group exhibited increased expression of FN,Col-III,α-SMA and Snail,and decreased expression of E-cadherin,HNF4A and MUCDHL.MUCDHL was predominantly expressed in the apical membrane of renal tubular epithelial cells,FN in the tubular mesenchyme,and HNF4A in the plasma and nu-cleus of renal tubular cells.(2)In HG group,there was an up-regulation in the expression of fibrosis-related proteins and a down-regulation in the expression of E-cadherin,HNF4A and MUCDHL compared with NG group.Overexpression of MUCDHL led to a decrease in the expression of FN,Col-III,α-SMA and Snail proteins,an increase in the expression of E-cadherin and MUCDHL proteins,and unaltered expression of HNF4A.Knockdown of MUCDHL resulted in a reversal of the aforementioned effects,with HNF4A expression remaining unaltered.Overexpression of HNF4A led to an increased ex-pression of MUCDHL,and the expression changes of the remaining indicators were consistent with the overexpression of MUCDHL.Knockdown of HNF4A reversed the aforementioned effects.MUCDHL may represent a downstream target gene of HNF4A.CONCLUSION:The diminished expression of HNF4A and MUCDHL in the renal tubules of diabetic mice implies their involvement in the progression of renal fibrosis in diabetic kidney disease(DKD).HNF4A may potentially impede the progression of renal fibrosis in DKD by up-regulating the expression of MUCDHL.

Spinal cord injury is one of the most serious neurological disorders. Revascularization after spinal cord injury can provide nutritional support to maintain the homeostasis of the neuronal networks and facilitate the recovery of neurological function. Promoting angiogenesis is a key repair strategy for spinal cord injury. However, since the ability of blood vessels to repair themselves is limited, external interventions are often needed to promote angiogenesis after spinal cord injury, among which medications and physical therapy are common ways, but their therapeutic effects are very limited. Stem cell therapy is an important way to promote the repair of the injured vessels in the spinal cord, with multiple sources of cells such as neural stem cell (NSC) and mesenchymal stem cell (MSC). The stem cell paracrine cytokines and extracellular vesicles (EVs) are often used to promote angiogenesis in the injured spinal cord. In addition, stem cells are capable of multiple differentiation and can effectively differentiate into endothelial cells, thus promoting angiogenesis. Currently, there is a lack of comprehensive understanding of the pro-angiogenetic effects of the stem cells after spinal cord injury. For this purpose, the authors reviewed the researches in the pro-angiogenetic pathways of the stem cells and the pro-angiogenetic effects of stem cell therapy after spinal cord injury, aimed at providing references for relevant basic research on the pro-angiogenetic effects of stem cells after spinal cord injury and its clinical treatment.

OBJECTIVE To explore the neuroprotective effect of sodium aescinate on rats with Parkinson’s disease by regulating the silent information regulator 1 （SIRT1）/nuclear factor-κB （NF-κB） signaling pathway. METHODS The Parkinson’s disease rat model was constructed by using 6-hydroxydopamine injection method. Forty-eight rats successfully modeled were randomly divided into model group， sodium aescinate low-dose group （1.8 mg/kg）， sodium aescinate high-dose group （3.6 mg/kg）， sodium aescinate+EX527 （sodium aescinate 3.6 mg/kg+SIRT1 inhibitor EX527 5 mg/kg） group， with 12 rats in each group. Another 12 healthy rats were selected as the sham operation group. Each group was injected with the corresponding drug solution intraperitoneally， once a day， for 21 consecutive days. Twenty-four hours after the end of the last administration， the motor and cognitive functions of rats were detected， and the morphology of neurons in the substantia nigra and CA1 region of hippocampal tissue were observed. The content of dopamine （DA） in the nigrostriatal and the expression levels of tyrosine hydroxylase （TH） and α-synuclein （α-Syn） in the substantia nigra were detected. The serum levels of pro-inflammatory factor [interleukin-6 （IL-6）， IL-18]， anti-inflammatory factor （IL-10）， and the expression levels of SIRT1， phosphorylated NF-κB p65 （p-NF-κB p65） and NF- κB p65 protein in nigrostriatal were detected. RESULTS Compared with sham operation group， the neurons in the substantia nigra and CA1 region of hippocampal tissue were seriously damaged in model group； the number of rotations， escape latency， the expression levels of α-Syn in substantia nigra， the levels of serum pro-inflammatory factors， the relative expression ratio of p-NF- κB p65 and NF-κB p65 protein in nigrostriatal were increased or prolonged significantly （P＜0.05）； the target quadrant residence time， the content of DA in nigrostriatal， the expression level of TH in substantia nigra， the serum level of anti-inflammatory factor， and the expression level of SIRT1 protein in substantia nigra striatum were significantly decreased or shortened （P＜0.05）. Compared with model group， the damage degrees of neuron in sodium aescinate groups were alleviated， and the quantitative indicators were significantly improved， which were more significant in the high-dose group （P＜0.05）； EX527 could reverse the improvement effect of high-dose sodium aescinate （P＜0.05）. CONCLUSIONS Sodium aescinate can inhibit the activation of NF-κB signal by up-regulating the protein expression of SIRT1， thereby reducing the neuroinflammation of rats with Parkinson’s disease， improving the motor and cognitive dysfunctions， and finally playing a neuroprotective role.

Objective To explore the development and validation of a prediction model for severe communi-ty-acquired pneumonia in adults based on peripheral blood inflammatory indicators.Methods Venous blood samples of 204 community-acquired pneumonia in adults patients admitted to 7 hospitals in Chongqing area from April 2021 to August 2022 were collected to detect C-reactive protein(CRP),peripheral white blood cell count(WBC),neutrophil to lymphocyte ratio(NLR),cytokines,lymphocyte subgroups and neutrophil CD64 index.All of patients were divided into a training group and a validation group according to the time of admis-sion.Univariate and multivariate Logistic regression were used to analyze the data of the training group,the characteristic factors of severe progression for pneumonia were selected to construct the nomogram model,and the data of the validation group was used to verify the model.The receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis(DCA)were used to evaluate the prediction ability of the model for severe community-acquired pneumonia in adults.Results Logistic regression analysis showed that age,CRP,WBC,interleukin(IL)-4/interferon gamma ratio and IL-6/IL-10 ratio were independent risk factors for severe community-acquired pneumonia in adults.The area under the ROC curve of the nomogram model in the training group and the validation group was 0.893 and 0.880,respectively.The calibration curve and DCA results shown that the model had a good prediction effect for severe community-acquired pneumonia in adults.Conclusion The inflammatory indicators included in this model are simple and easy to obtain clinically.This model with good differentiation and accuracy,it can be used as a practical tool to predict severe community-ac-quired pneumonia in adults,and has certain clinical application value.

Objective To evaluate the noise hazard level of a coal mining enterprise, and identify high-risk operation types and people, and to provide a basis for preventing and controlling the health damage caused by noise. Methods A large coal mining enterprise in Shaanxi Province was selected as the research object. The noise monitoring data of the coal mine over the years was used to calculate the noise exposure matrix of each post in the enterprise, and the classification of occupational hazards at workplaces (GBZ/T 229.4-2012) was used to assess the occupational health risk levels. Results Among the 22 noise-exposed positions in the enterprise, the 8-hour working day equivalent sound level in positions of shearer driver, horseshoe driver, crusher driver, shuttle driver, relaxation screen driver, and grading screen driver were all higher than the occupational exposure limit of noise. In 2021, the noise exposure levels of shearer drivers, crusher drivers, and coal-selecting workers were all higher than 90 dB (A), and the occupational hazard level was moderate hazard level. In addition, the noise exposure levels of most other jobs also exceeded the occupational exposure limit. Conclusion The noise hazards in the coal mine industry are mainly concentrated in the posts of the coal mining system, tunneling system, and screening workshop. Among them, the shearer driver, the crusher driver, and the coal preparation workers have higher noise exposure levels. It is recommended to take corresponding noise reduction measures and strengthen the protection level to reduce the noise exposure risk of workers.

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 co-expressed genes in blood lipid metabolism,hyperlipidemia and tacrolimus metabolism and their correlation with blood lipid levels in kidney transplant recipients.Methods Co-expressed genes were screened from Comparative Toxicogenomic Database(CTD).Baseline data of 25 kidney transplant recipients were collected.The expression levels of ATP binding cassette subfamily A member 1(ABCA1),peroxisome proliferator activated receptor γ(PPAR-γ)and glycosylphosphatidylinositol anchored high density lipoprotein binding protein 1(GPIHBP1)were measured.All recipients were followed up.The concentrations of fasting blood glucose,glycosylated hemoglobin,triglyceride,total protein,albumin,globulin,cholesterol,high-density lipoprotein,low-density lipoprotein and tacrolimus blood concentration were collected at postoperative 1,3,6 and 12 months,and the incidence of hyperlipidemia in the recipients was analyzed.The correlation between ABCA1,GPIHBP1,PPAR-γ and clinical indexes was assessed.The diagnostic effiiciency of related indexes for hyperlipidemia after kidney transplantation was evaluated.Results Three co-expressed genes including ABCA1,PPAR-γ and GPIHBP1 were screened.ABC Al was positively correlated with cholesterol level at postoperative 6 months and tacrolimus blood concentration at postoperative 3 months,whereas negatively correlated with fasting blood glucose level at postoperative 3 months(all P＜0.05).GPIHBP1 was negatively correlated with preoperative cholesterol and triglyceride levels,whereas positively correlated with tacrolimus blood concentration at postoperative 3 months(all P＜0.05).PPAR-γ was negatively correlated with preoperative globulin and low-density lipoprotein levels(both P＜0.05).ABCA1,GPIHBP1 and PPAR-γ combined with preoperative globulin and blood glucose level at postoperative 1 and 6 months after operation yielded high diagnostic effiiciency for hypertriglyceridemia after kidney transplantation(AUC=0.900).ABCA1,GPIHBP1 and PPAR-γ combined with tacrolimus blood concentrations at postoperative 1 and 6 months and blood glucose level at postoperative 6 months had high diagnostic effiiciency for hypercholesterolemia after kidney transplantation(AUC=0.931).Conclusions ABCA1,GPIHBP1 and PPAR-γ are correlated with blood lipid level and tacrolimus blood concentration after kidney transplantation to different degrees.No definite evidence has been supported for predicting hyperlipidemia after kidney transplantation.Immunity improvement and rational blood glucose management may be beneficial factors for hyperlipidemia control.