Objective To explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

ObjectiveTo explore effect of Xianlian Jiedu prescription on the recurrence of colorectal cancer （CRC） and investigate the related mechanisms. MethodsA postoperative recurrence model was established in 25 Balb/c mice by injecting CT26 cells subcutaneously into the armpit， followed by surgical removal of 99% of the subcutaneous tumor. The mice were randomly divided into model group， low-dose Xianlian Jiedu prescription （XLJDP-L） group （6.45 g·kg^-1·d^-1）， medium-dose Xianlian Jiedu prescription （XLJDP-M） group （12.9 g·kg^-1·d^-1）， high-dose Xianlian Jiedu prescription （XLJDP-H） group （25.8 g·kg^-1·d^-1）， and 5-fluorouracil （5-FU） group （1×10^-3 g·kg^-1·d^-1）. The mice were euthanized after 14 days of continuous intervention， and recurrent tumor tissue was harvested. Hematoxylin and eosin （HE） staining was used to observe pathological and morphological changes in the recurrent tumor tissue. Immunohistochemistry （IHC） was employed to assess the expression of proliferating cell nuclear antigen （Ki67）， vascular endothelial growth factor （VEGF）， and platelet-endothelial cell adhesion molecule （CD31） in recurrent tumor tissue. The Western blot was used to detect the protein expression levels of angiopoietin-2 （ANG-2）， VEGF， phosphorylated-protein kinase B （p-Akt）， protein kinase B （Akt）， phosphorylated-phosphatidylinositol 3-kinase （p-PI3K）， and phosphatidylinositol 3-kinase （PI3K） in recurrent tumor tissue. ResultsBefore treatment， there were no statistical differences in tumor volume， tumor weight， and body mass among the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group compared to the model group， indicating model stability. After treatment， compared with those in the model group， the tumor volume and tumor weight in the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group were significantly reduced （P<0.01）， showing dose dependency. Meanwhile， there were no significant differences in body weight among the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group compared to the model group. HE staining showed that compared with that in the model group， tumor tissue in the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group had loosely arranged cells， increased intercellular spaces， small and shriveled nuclei， light staining， fewer mitotic figures and atypical nuclei， and increased necrotic areas. IHC showed that compared with those of the model group， the positive rates of Ki67， VEGF， and CD31 in the recurrent tumor tissue of the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group were significantly reduced （P<0.01） in a dose-dependent manner. Western blot results showed that compared with those of the model group， the protein expression levels of ANG-2 and VEGF in the recurrent tumor tissue of the XLJDP-L， XLJDP-M， and XLJDP-H groups and the 5-FU group were significantly downregulated （P<0.05， P<0.01）， and the p-Akt/Akt and p-PI3K/PI3K ratios were significantly decreased in a dose-dependent manner （P<0.05， P<0.01）. ConclusionXianlian Jiedu prescription significantly inhibits the recurrence of CRC in mice after subcutaneous tumor surgery. The mechanism may involve regulating the PI3K/Akt pathway and downregulating key angiogenic proteins such as ANG-2， VEGF， and CD31.

Objective To construct a "disease-syndrome combination" mathematical representation model for pulmonary nodules based on oral microbiome data, utilizing a multimodal data algorithm framework centered on dynamic systems theory. Furthermore, to compare predictive models under various algorithmic frameworks and validate the efficacy of the optimal model in predicting the presence of pulmonary nodules. Methods A total of 213 subjects were prospectively enrolled from July 2022 to March 2023 at the Hospital of Chengdu University of Traditional Chinese Medicine, Sichuan Cancer Hospital, and the Chengdu Integrated Traditional Chinese and Western Medicine Hospital. This cohort included 173 patients with pulmonary nodules and 40 healthy subjects. A novel multimodal data algorithm framework centered on dynamic systems theory, termed VAEGANTF (Variational Auto Encoder-Generative Adversarial Network-Transformer), was proposed. Subsequently, based on a multi-dimensional integrated dataset of “clinical features-syndrome elements-microorganisms”, all subjects were divided into training (70%) and testing (30%) sets for model construction and efficacy testing, respectively. Using pulmonary nodules as dependent variables, and combining candidate markers such as clinical features, lesion location, disease nature, and microbial genera, the independent variables were screened based on variable importance ranking after identifying and addressing multicollinearity. Missing values were then imputed, and data were standardized. Eight machine learning algorithms were then employed to construct pulmonary nodule risk prediction models: random forest, least absolute shrinkage and selection operator (LASSO) regression, support vector machine, multilayer perceptron, eXtreme Gradient Boosting (XGBoost), VAE-ViT (Vision Transformer), GAN-ViT, and VAEGANTF. K-fold cross-validation was used for model parameter tuning and optimization. The efficacy of the eight predictive models was evaluated using confusion matrices and receiver operating characteristic (ROC) curves, and the optimal model was selected. Finally, goodness-of-fit testing and decision curve analysis (DCA) were performed to evaluate the optimal model. Results There were no statistically significant differences between the two groups in demographic characteristics such as age and sex. The 213 subjects were randomly divided into training and testing sets (7 : 3), and prediction models were constructed using the eight machine learning algorithms. After excluding potential problems such as multicollinearity, a total of 301 clinical feature information, syndrome elements, and microbial genera markers were included for model construction. The area under the curve (AUC) values of the random forest, LASSO regression, support vector machine, multilayer perceptron, and VAE-ViT models did not reach 0.85, indicating poor efficacy. The AUC values of the XGBoost, GAN-ViT, and VAEGANTF models all reached above 0.85, with the VAEGANTF model exhibiting the highest AUC value (AUC=0.923). Goodness-of-fit testing indicated good calibration ability of the VAEGANTF model, and decision curve analysis showed a high degree of clinical benefit. The nomogram results showed that age, sex, heart, lung, Qixu, blood stasis, dampness, Porphyromonas genus, Granulicatella genus, Neisseria genus, Haemophilus genus, and Actinobacillus genus could be used as predictors. Conclusion The “disease-syndrome combination” risk prediction model for pulmonary nodules based on the VAEGANTF algorithm framework, which incorporates multi-dimensional data features of “clinical features-syndrome elements-microorganisms”, demonstrates better performance compared to other machine learning algorithms and has certain reference value for early non-invasive diagnosis of pulmonary nodules.

This paper discusses the treatment of polycystic ovary syndrome(PCOS)based on the midnight-noon ebb-flow theory.The midnight-noon ebb-flow theory is a Chinese medicine science that combines the time and space of nature with the internal rhythm of the human body.PCOS is characterized by disappearance of the reproductive monthly rhythm.Its etiology is based on kidney deficiency.The key to its pathogenesis is the excess of yin and deficiency of yang,the hyperactivity of yang and deficiency of yin,and the lack of smooth connection between yin and yang.PCOS patients have circadian rhythm disorders,and the oscillation of the core clock gene is attenuated,which leads to the interruption of the circadian rhythm gene in the ovary,the imbalance of yin and yang trans-formation in the kidney,and the asynchrony of qi and blood flow with the time rhythm.Therefore,the treatment focuses on harmonizing yin and yang and rebuilding the normal reproductive rhythm of women.Using the midnight-noon ebb-flow theory,combined with the reproductive physiological characteristics of women,choosing different drug administration time and selecting meridians and acupoints according to the time will be helpful to unlock the"time code"of the female reproductive system,and assist clinical menstruation regu-lation,pregnancy and treatment of diseases.

To investigate the differences in methylation levels of cuproptosis related genes in cervical cancer and their effects on clinical prognosis.Methods:The methylation data of 310 cervical tissue specimens were acquired from public databases. The UALCAN database was used to analyze the methylation level differences of 12 cuproptosis-related genes and study their level in different stages or grades of cervical cancer. Genes with statistically significant differences were selected for prognosis analysis using the EWAS datahub. Finally, gene-enrichment analysis, pathway analysis, immune infiltration analysis, the mutation rate and tumor mutation burden (TMB) of the genes in cervical cancer were analyzed using the cBioportal database. Two independent samples rank-sum test was used for differences in methylation levels and immune cell infiltration; comparative analyses of overall survival were performed using KM survival curves and Log-rank two-sided tests. TMB analyses were performed using the Wilcoxon Test for statistical analyses; Pearson correlation analysis was used for assessment in GSEA and pathway analyses.Results:The methylationβvalue of Cyclin Dependent Kinase Inhibitor 2A (CDKN2A gene) in the cervical cancer tissues of patients was 0.075 which was significantly higher than the methylationβvalue of 0.049 in normal human tissues ( P=0.008). Dihydrolipoamide S-Acetyltransferase (DLAT gene) methylation with a β value of 0.102 was significantly higher than normal human tissue methylation with a β value of 0.08 ( P=0.002), and the methylation level β value of Lipoyltransferase 1 (LIPT1 gene) in cervical cancer tissues was 0.06,which was significantly lower than normal human tissue methylation value of 0.092 ( P=0.009). Patients with CDKN2A gene methylation levels≥0.199 had an overall survival of 14.75 years, which was lower than that of patients with methylation levels<0.199 (17.56 years) ( P=0.034).The results of gene enrichment analysis indicated that it mainly involves biological processes such as the response to type I interferon and DNA replication. The expression of CDKN2A gene is positively correlated with the number of neutrophils and dendritic cells in the tumor microenvironment( P<0.05), and negatively correlated with the number ofmacrophages( P<0.05). TMB was higher in the group of variants of the CDKN2A gene than in the group of non-variants ( P=0.019). Conclusion:CDKN2A methylation is a potential biomarker for predicting the prognosis of cervical cancer.

ObjectiveTo assess the level of internal exposure to PCP in a community population in Shanghai， to investigate the factors affecting the level of PCP， and to analyze the correlation between the exposure and thyroid hormone levels. MethodsA total of 464 residents of a community in Shanghai were selected as the study subjects. A questionnaire survey was conducted to obtain the demographic information， dietary situation， lifestyle and behavioral habits， and disease history of the individuals， and blood samples were collected. Gas chromatography-electron trap was applied to determine the PCP levels in serum. Multicategorical logistic regression analysis was used to analyze the possible influencing factors of PCP exposure in humans. Thyroid hormone levels were used as the dependent variable and serum PCP as the independent variable. Multiple linear regression analysis was used to assess the association between PCP and thyroid hormones in the community population after controlling the confounding factors such as age， gender， literacy， annual personal income， and chronic diseases. ResultsThe detection rate of serum PCP in 464 subjects was 90.3%， and the median serum PCP level was 0.43 μg·L^-1. The differences in PCP levels among different age groups were statistically significant. There were no significant differences in PCP levels among different gender and BMI groups. The study of PCP exposure factors showed that age， frequency of using plastic products， consumption of freshwater fish， type of occupation， annual income， and consumption of tea or coffee were the potential influencing factors for PCP exposure. Among them， age， frequency of using plastic products， consumption of tea or coffee， and consumption of freshwater fish were positively associated with PCP levels， and annual personal income was negatively associated with it. The results of multiple linear regression analysis showed that among men， PCP levels were positively correlated with TSH （b=0.105， 95%CI：0.017‒0.313） and negatively correlated with FT4 （b=-0.026， 95%CI：-0.057‒0.004）， and among women， PCP levels were positively correlated with TSH （b=0.092， 95%CI：-0.211‒0.904） and FT3 （b=0.017， 95%CI：-0.058‒0.230） and negatively correlated with FT4 （b=-0.013， 95%CI：-0.011‒0.037）. ConclusionSerum PCP detection is common among community residents in Shanghai. Different demographic characteristics or behavioral habits may increase or decrease PCP exposure. PCP exposure then affects human thyroid hormone levels.

Objective: To analyze the trends in disease burden of tuberculosis among children under 5 years of age in China from 1990 to 2021, so as to provide insights for future tuberculosis control measures among children in China. Methods: Based on the Global Burden of Disease (GBD) 2021 datasets, the incidence, prevalence, mortality and disability adjusted life year(DALY) of tuberculosis of children under 5 years of age in China and globally were collected from 1990 to 2021. The incidence, prevalence, mortality and DALY rate of tuberculosis were compared by genders and types. In addition,the annual percent change(APC) and the average annual percent change(AAPC) of children s tuberculosis burden in China and globally from 1990 to 2021 were calculated by using the Joinpoint regression model, and the changing trends were analyzed. Results: The numbers of incident, prevalent and dead tuberculosis cases were 9 700, 8 477 800 and 200 among children under 5 years of age in China in 2021, and the DALY due to tuberculosis were 27 100 person years. There were significant reductions in incidence, prevalence, mortality and DALY rate of tuberculosis among children under 5 years of age in China ( AAPC =-5.45%, -1.14%, -12.37%, -11.34 %) and globally( AAPC =-2.38%, -1.41%, -4.66%, -4.56%), and the reductions in the incidence, mortality and DALY rate were more significant in China than globally ( P <0.05).In 1992 and later, the numbers of incident, prevalent and dead tuberculosis cases and the DALY of tuberculosis were higher among male than among female. In addition, the disease burden of drug susceptible tuberculosis appeared a tendency of downward in China from 1990 to 2021, while the incidence and prevalence of extensively drug resistant tuberculosis rose since 2015. Conclusions The disease burden of tuberculosis remarkably reduced among children under 5 years of age in China from 1990 to 2021. However, the burden of disease due to multidrug resistant tuberculosis appeared an upward trend recently. Increased attention is required to be paid to the prevention and control of tuberculosis among children and improved diagnosis and treatment of drug resistant tuberculosis are recommended.

Objective To explore the value of T2*mapping in quantitatively evaluate changes in knee joint cartilage and subchon-dral bone of new recruits before and after intensive training.Methods MRI scans of the right knee joint were performed three times on 20 new recruits:before intensive training,after one week of intensive training,and after one month of rest.The knee joint cartilage was divided into six regions:lateral femur(LF),medial femur(MF),lateral tibia(LT),medial tibia(MT),patella cartilage(PC),and trochlea cartilage(TC).Using the posterior angle of the meniscus as a boundary,LF and MF were divided into the cLF/cMF and pLF/pMF.Divid-ed into superficial zone(SZ)cartilage and deep zone(DZ)cartilage based on a thickness of 1/2 of the cartilage.The subchondral bone was divided into superficial bone(SB)within 5 mm of the joint cartilage,and deep bone(DB)within 6-10 mm of the joint cartilage.The T2*values of each region of cartilage and subchondral bone were evaluated through region of interest(ROI)analysis.Single fac-tor analysis of variance was used to compare the changes in T2*values.The LSD test method was used for inter-group comparison.Results After one week of intensive training,MT-SZ,cMF-SZ,PC-SZ,TC-SZ were significantly higher than before intensive training(P＜0.05).After one month of rest,there was no statistically significant difference in the T2*value of the cartilage area compared with before intensive training(P＞0.05).There was a trend of"rising first and then falling".There was no statistically signifi-cant difference in the T2*value of subchondral bone of the knee joint before intensive training and after one week of intensive training(P＞0.05).Compared with after one month of rest,except for cLF-DB,pLF-DB,trochlea cartilage-deep bone(TC-DB),the T2*value of the subchondral bone of the remaining knee joint increased before intensive training and after one week of intensive training,with sta-tistically significant differences(P＜0.05).Conclusion T2*mapping can display the changes in the ultrastructure and biochemical components of joint cartilage and subchondral bone after the new recruits intensive training,detect early injuries and conduct non-invasive quantitative evaluation.

Objective To observe the clinical efficacy of electroacupuncture at Baliao points combined with Jingui Shenqi Wan Decoction in the treatment of post-stroke neurogenic bladder of kidney-yang deficiency type.Methods A total of 86 patients with post-stroke neurogenic bladder(PSNB)of kidney-yang deficiency type were randomly divided into observation group and control group,with 43 cases in each group.The control group was given electroacupuncture at Baliao points and routine rehabilitation treatment.On the basis of the treatment of the control group,the observation group was treated with Jingui Shenqi Wan Decoction for four weeks.After four weeks of treatment,the clinical efficacy of the two groups was evaluated,and the changes of Modified Barthel Index(MBI)score,daily urination and urodynamic indexes of the two groups were observed before and after treatment.The changes of serum superoxide dismutase(SOD)level were compared before and after treatment between the two groups.Results(1)The total effective rate was 95.35％(41/43)in the observation group and 79.07％(34/43)in the control group.The curative effect of the observation group was superior to that of the control group,and the difference was statistically significant(P＜0.05).(2)After treatment,the daily urination conditions of the two groups of patients,including the average daily urination times,the average daily single urination volume and the average daily urinary incontinence times,were significantly improved(P＜0.05),and the improvement of the average daily urination times,the average daily single urination volume and the average daily urinary incontinence times in the observation group were significantly superior to those in the control group,and the differences were statistically significant(P＜0.05).(3)After treatment,the urodynamic indexes including maximum bladder capacity,maximum urinary flow rate,residual urine volume,bladder compliance,maximum urethral pressure and detrusor pressure in the two groups were significantly improved(P＜0.05),and the improvement of maximum bladder capacity,maximum urinary flow rate,residual urine volume,bladder compliance,maximum urethral pressure and detrusor pressure in the observation group was significantly superior to that in the control group,the differences were statistically significant(P＜0.05).(4)After treatment,the level of serum SOD in the two groups were significantly improved(P＜0.05),and the improvement in the observation group was superior to that in the control group,the difference being significant(P＜0.05).(5)After treatment,the MBI scores of the two groups were significantly improved(P＜0.05),and the improvement of MBI scores in the observation group was significantly superior to that in the control group,the difference was statistically significant(P＜0.05).Conclusion Electroacupuncture at Baliao points combined with Jingui Shenqi Wan Decoction in the treatment of PSNB of kidney-yang deficiency type can significantly improve the urination function of patients,effectively improve the urodynamic indexes of patients,down-regulate the serum SOD level of patients,and improve the quality of daily life of patients.

Objective:To analyze the clinical features, prognosis and risk factors of SARS-CoV-2 associated acute pancreatitis (SAAP), and provide a basis for early prevention and treatment of SAAP.Methods:Patients with coronavirus disease 19 infection (COVID-19) admitted to Zhejiang Provincial People's Hospital from December 1, 2022 to January 31, 2023 were retrospectively analyzed. Clinical characteristics such as age, gender and other data were recorded, and the indexes of blood routine, liver and kidney function, inflammatory factor, coagulation function, blood gas analysis, immunoglobulin and complement were collected after admission. Patients were divided into pancreatic injury group and non-pancreatic injury group according to the level of serum amylase/lipase. The difference of prognosis and related hematological parameters between the two groups was compared. Multifactorial logistic regression equation was constructed to analyze the risk factors of SAAP.Results:A total of 2 101 patients with COVID-19 who met the criteria were included, including 298 patients in the pancreatic injury group and 1 803 patients in the non-pancreatic injury group. 17 cases (5.7%) in the pancreatic injury group met the diagnostic criteria for AP. The age, male percentage and mortality rate of the pancreatic injury group were all significantly higher than those of the non-pancreatic injury group (all P<0.05). In the pancreatic injury group, white blood cell count, neutrophil-to-lymphocyte ratio, C-reactive protein (CRP), calcitoninogen, erythrocyte sedimentation rate, inflammatory cytokines, tumour necrosis factor, liver and kidney functions, coagulation (D-dimer and plasma fibrinogen degradation products), and lactate level were significantly higher than those in the non-pancreatic injury group (all P<0.05). Serum complement C3, albumin, albumin globule ratio and arterial oxygenation index were lower in the pancreatic injury group (all P<0.05). Multifactorial logistic regression analysis showed that gender, age, CRP, calcitoninogen, total bilirubin, creatinine, PaO 2, PaO 2/FiO 2 and lactate were independent risk factors for the occurrence of pancreatic injury in patients with COVID-19 (all P<0.05). Conclusions:Inflammation-related markers, D-dimer and fibrinogen degradation products were significantly higher in COVID-19 patients comorbid with pancreatic injury than in the patients without pancreatic injury. The risk of SAAP was significantly higher in male patients of senior age. Sex, age, CRP, calcitoninogen, total bilirubin, creatinine, oxygenation index, and lactic acid were independent risk factors for the onset of pancreatic injury in COVID-19 patients.