Objective To assess the clinical efficacy of sodium hyaluronate （0.3%） eye drops combined with herbal self-heating steam eye mask in the treatment of dry eye disease. Methods A prospective randomized controlled clinical trial was performed on 60 patients diagnosed with dry eye at the ophthalmic clinic of a Grade A, Class Ⅲ hospital in Shanghai from June 2023 to September 2024. Specifically, patients were randomly divided into control group and study group. Patients in the control group were treated with sodium hyaluronate （0.3%） eye drops for six weeks; while in the study group, patients received the eye drops combined with the herbal self-heating steam eye mask mainly containing powders of Flos Buddlejae. Subsequently, comparisons and analysis were performed before and after treatment between the two groups in the clinical symptom questionnaire score traditional Chinese medicine （TCM syndrome score），the Chinese dry eye questionnaire score and determination of tear film fluorscein breakup time （FBUT）, and curative effect. Results The quality control standard of the herbal powder in the self-heating steam eye mask was established through TLC and HPLC, and good heating behavior of the herbal self-heating steam eye mask was ascertained heating temperature （43±5）℃; heating duration （≥20 min）, meeting requirements of the product quality control. After treatment for 6 weeks, FBUT was increased, while TCM syndrome score and the Chinese dry eye questionnaire score were both decreased in the study group （P<0.001）. Besides, compared with the control group, TCM syndrome score and the Chinese dry eye questionnaire score were much lower, while the FBUT were higher in the study group （P<0.001）. Moreover, the overall response rate in the study group （81.7%） was much better than that in the control group （25.9%）. Conclusion The combination of sodium hyaluronate （0.3%） eye drops with herbal self-heating steam eye mask could be applied to the clinical treatment of dry eye disease due to its good clinical effects on relieving dry eye symptoms.

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 explores the research progress of acupuncture for the prevention and treatment of Alzheimer's disease (AD) based on the "kidney-governor vessel-brain" axis. According to the fundamental pathogenesis of AD in traditional Chinese medicine (TCM), which attributes to kidney deficiency, marrow depletion, and impaired mental faculties, as well as the governor vessel's connection between the kidney and brain, the concept of the "kidney-governor vessel-brain" axis is proposed. The theoretical basis of the "kidney-governor vessel-brain" axis is analyzed based on the meridian pathway and physiological functions of the governor vessel, as well as the interdependent and mutually reinforcing relationships among the kidney, governor vessel, and brain. The relationship between AD and the "kidney-governor vessel-brain" axis is elucidated from both traditional medical theories and modern biological perspectives. Integrating clinical and mechanistic research on AD prevention and treatment based on this axis, it is suggested that the "kidney-governor vessel-brain" axis provides valuable insights and references for future research on AD prevention and treatment.
Humans ; Alzheimer Disease/physiopathology* ; Acupuncture Therapy ; Kidney/blood supply* ; Brain/blood supply* ; Meridians ; Blood Vessels/physiopathology*

Purpose To investigate the clinical significance of Gasdermin B(GSDMB)in ovarian cancer and its relationship with immune infiltration,aiming to explore novel biomarkers for immunotherapy.Methods Gene expres-sion matrix,somatic mutations,somatic copy number alterations(SCNA),and clinical data were obtained from the The Cancer Genome Atlas(TCGA)database.Copy number variation(CNV)analysis was performed using the GISTIC algorithm,and the CIBERSORT algorithm was applied to quantify the relative abundance of 22 immune cell types in the tumor microenvironment.Protein-protein interaction(PPI)network analysis was conducted to identify GSDMB-associ-ated interacting proteins.Additionally,multiplex immunofluorescence was used to verify the spatial distribution differ-ences of GSDMB protein in clinical ovarian cancer samples with different immune phenotypes and its interaction with immune cells.Results The expression level of the GSDMB gene was significantly higher in adjacent non-cancerous tissues than in tumor tissues(P＜0.001).Patients with high GSDMB expression exhibited elevated levels of immune chemokines(such as CXCL9 and CXCL10,P＜0.01)and tumor-killing lymphocytes(the proportion of CD8+T cell was significantly higher in the high-expression group than in the low-expression group,P＜0.001).CNV analysis re-vealed that GSDMB copy number alterations significantly influenced immune cell infiltration:patients with GSDMB cop-y number amplification had decreased infiltration levels of CD4+T cells and dendritic cells(P＜0.05),while those with deep deletion of GSDMB had significantly reduced infiltration levels of CD8+T cells and neutrophils(P＜0.01).PPI network analysis indicated that GSDMB might interact with key immune molecules,including IL-37,IL-18BP,IL-33,and IL-2(Pearson correlation coefficient r＞0.6,P＜0.001).Multiplex immunofluorescence analysis demonstra-ted that tumors with high GSDMB expression were more likely to exhibit an immune-inflamed phenotype(52.6％),while tumors in the low-expression group were predominantly immune-desert type(47.3％).Immunotherapy cohort a-nalysis suggested that GSDMB could serve as a potential predictive biomarker for immunotherapy responsiveness,with high predictive efficacy in multiple immune checkpoint inhibitor therapy cohorts targeting PD-1,PD-L1,and CTLA4(AUC＞0.8).Conclusion GSDMB plays a crucial role in reshaping the tumor microenvironment in ovarian cancer and may serve as a novel sensitizing target for immunotherapy.

This study was aimed at understanding the relationships among the drug resistance and genome characteristics of group A Streptococcus in Jiangsu Province.A total of 149 group A Streptococcus strains were collected from hospitals between 2016 and 2023.Thirteen antimicrobial minimal inhibitory concentrations were detected with the micro-dilution broth method.The GAS strains were typed with emm genotyping analysis and whole genome sequencing,to determine the carriage rates of drug resistance genes and the evolutionary relationships among strains.The resistance rates of 149 GAS strains to erythromy-cin,tetracycline,and clindamycin exceeded 90％,whereas the strains showed sensitivity to 8 different antibiotics,including penicillin.Notably,the resistance rates to erythromycin,tetracycline,and clindamycin consistently increased over time.All strains were classified into 9 emm types,among which emm12 accounted for the highest proportion(77/149;51.68％).Signifi-cant statistical differences were observed among emm types,in terms of the drug resistance rate,number of resistant species,and prevalence of drug resistance genes.Furthermore,SNP evolutionary tree analysis revealed 3 distinct clusters within the GAS strains:emm12,emm1,and other emm types.emm 12 and emm1 were the dominant GAS strains in Jiangsu Province.Most isolates were resistant to erythromycin,tetracycline,and clindamycin.Differences in phenotypes and genomic characteris-tics were observed among emm types.

This article summarizes Professor Tan Yong's approach to the treatment of polycystic ovary syndrome(PCOS)based on the lipid turbidity theory.It is believed that multiple factors such as improper diet,emotional injury,insufficient endowment,and im-proper work and rest lead to dysfunction of spleen and stomach,which cannot normally transport and transform water and grain essence and body fluid,and lipids cannot be effectively transformed and utilized,thus accumulating in the body to form lipid turbidity.Lipid turbidity is not only a pathological product but also an independent pathogenic factor,characterized by stickiness,concealment,heavy turbidity,lodging in collaterals,combined pathogenicity,and obstruction of qi and blood.Based on this theory,the etiology and patho-genesis of PCOS are explored,with its pathological progression divided into three stages:spleen deficiency and liver depression,phlegm and blood stasis,and kidney deficiency with lipid turbidity.In the early stage,impaired spleen transportation and liver disper-sion functions lead to lipid metabolism disorders,forming lipid turbidity.In the middle stage,lipid stagnation and obstruction of the meridians affect the circulation of qi and blood,leading to internal stasis and the formation of a pathological pattern of phlegm and blood stasis.In the later stage,prolonged illness affects the kidney,resulting in kidney qi deficiency,unresolved lipid turbidity,and imbal-ance of qi,blood,yin and yang,which leads to long-term metabolic and reproductive dysfunction.In terms of treatment,emphasis is placed on strengthening the spleen and eliminating turbidity,soothing the liver and nourishing blood in the early stage;eliminating phlegm and blood stasis,unblocking the collaterals and eliminating lipid in the middle stage;nourishing the kidney and replenishing essence,and regulating yin and yang in the late stage,providing new insights and theoretical basis for the integrated diagnosis and treatment of PCOS with traditional Chinese and Western medicine.

Background and Aims:Elderly patients undergoing laparoscopic radical resection of colon cancer often experience decreased sleep quality,which may hinder postoperative recovery.Although pharmacological interventions are commonly used in clinical practice to improve postoperative sleep,conventional medications may lead to adverse effects such as delirium and dependence.This study aimed to evaluate the effect of a non-pharmacological intervention—buccal acupuncture combined with ultrasound-guided stellate ganglion block(SGB)—on postoperative sleep quality in elderly patients.Methods:A total of 60 elderly patients who underwent laparoscopic radical resection of colon cancer at the Forth Hospital of Changsha from February to August 2024 were enrolled.Using a random number table,the patients were divided into two groups:30 in the control group(SGB alone)and 30 in the study group(SGB combined with buccal acupuncture).Perioperative mean arterial pressure(MAP),heart rate(HR),postoperative visual analogue scale(VAS)scores,Pittsburgh Sleep Quality Index(PSQI)scores,and the incidence of adverse events were recorded and analyzed.Results:There were no statistically significant differences in baseline characteristics between the two groups(all P>0.05).The study group showed significantly lower intraoperative and postoperative HR and MAP compared to the control group(all P<0.05).VAS scores at 6,24,and 48 h postoperatively,as well as PSQI scores on postoperative days 1,3,and 5,were significantly lower in the study group(all P<0.05).Additionally,the incidence of drowsiness was significantly reduced(P<0.05).No significant differences were found between the two groups in terms of nausea,vomiting,or agitation(all P>0.05).Conclusion:The combination of buccal acupuncture and SGB during the perioperative period can effectively improve postoperative sleep quality,alleviate pain,and reduce adverse reactions in elderly patients undergoing laparoscopic radical resection of colon cancer.This safe and effective non-pharmacological intervention holds promising clinical application value.

Objective:To explore the influencing factors of prognosis in children with chronic urticaria treated with cetirizine and desloratadine in combination,and to construct a column chart prediction model.Methods:A total of 182 children with chronic urticaria who underwent cetirizine combined with desloratadine treatment in Hainan Women and Children's Medical Center from January 2019 to December 2021 were selected as study subjects for a one-year follow-up.They were divided into a relapse group(n=51)and a non relapse group(n=131)based on prognosis.Compared the medical records of two groups of children,and conducted independent sample t-test and χ2 to analyze the relevant indicators that affect the recurrence of chronic urticaria in children treated with cetirizine and desloratadine in combination;using MedCalc software,ROC curve analysis was conducted on statistically significant econometric indicators to explore their predictive value for recurrence in children with chronic urticaria treated with cetirizine and desloratadine in combination;independent risk factors for recurrence in children with chronic urticaria after combined use of cetirizine and desloratadine were analyzed by logistic regression analysis;R language software 4.0"rms"package was used to construct a column chart prediction model for the recurrence of chronic urticaria in children after the combination of cetirizine and desloratadine.Column chart prediction model was internally validated and evaluated for clinical predictive efficacy through calibration curve and decision curve.Results:Differences between the two groups of children were statistically significant(P<0.05)in terms of disease duration,history of previous allergic diseases,frequency of attacks,number of wind clusters,duration of wind clusters,mean diameter of wind clusters,IgE,IFN-γ,IL-10,IL-18 and CRP.AUCs for disease duration,episode frequency,number of wind clusters,duration of wind clusters,mean diameter of wind clusters,IgE,IFN-γ,IL-10,IL-18 and CRP were 0.854,0.697,0.739,0.876,0.847,0.767,0.902,0.804,0.829 and 0.850,respectively,and the best cutoff values were 8 months,4 times/week,6,3 h,2.1 cm,149.7 U/ml,27.2 ng/L,3.6 ng/L,40.5 ng/L,2.6 mg/L.Disease duration,IgE,IFN-γ,IL-10,IL-18 and CRP were independent risk factors affecting relapse after cetiri-zine and desloratadine combination in children with chronic urticaria.Calibration curve of the column chart prediction model was closed to the original curve and the ideal curve with a C-index of 0.625(95%CI:0.613～0.702),and the model fit was good;the threshold value of column chart prediction model was>0.16,which could provide a net clinical benefit,and all of the net clinical benefits were higher than those of disease duration,IgE,IFN-γ,IL-10,IL-18 and CRP.Conclusion:This study is based on the inde-pendent risk factors for recurrence in children with chronic urticaria after combined use of cetirizine and desloratadine,including course of disease,IgE,IFN-γ,IL-10,IL-18 and CRP,which have constructed a column chart prediction model to provide reference for the recurrence prediction of children with chronic urticaria,in order to screen high-risk recurrent children as soon as possible and take intervention measures to improve the recurrence situation and quality of life in children with chronic urticaria.

Objective:To investigate the role and underlying mechanism of parthanatos death in neonatal SD rats with bilirubin encephalopathy(BE).Methods:Eighty 3-day-old neonatal SD rats were selected and randomly divided into control group and BE group.The BE model was established by intraperitoneal injection of bilirubin solution,and the pathological changes in the hippocampus were observed by hematoxylin-eosin(HE)staining and Nissl staining.The protein expressions of the phosphorylation of the core histone protein H2AX(termed gamma H2AX),poly ADP-ribose polymerasw-1(PARP-1)and apoptosis-inducing factor(AIF)in hippocampus were detected by Western blot.Immuno-fluorescence staining was used to detect the expression and distribution of AIF in hippocampus.Results:Compared with the control group,neonatal SD rats developed jaundice 12 hours after bilirubin injection,accompanied by slow weight gain.HE staining and Nissl staining showed that the hippocampus in BE group were damaged and the content of Nissl bodies was decreased.Western blot results showed that the expression of γ-H2AX protein in hippocampus began to increase at 72 h after modeling(P＜0.05),and the levels of PARP-1 and AIF protein in hippocampus increased signif-icantly at 72 h after modeling(P＜0.05).Immunofluorescence staining showed increased AIF expression and nuclear translocation.Conclusion:Intraperitoneal injection of bilirubin can induce DNA damage in hippocampal neurons of neonatal SD rats and activate the PARP-1/AIF pathway to cause parthanatos death of hippocampal neurons.

Objective:To systematically integrate the lived experiences of women regarding decision-making participation and informed choice during intrapartum care, providing evidence-based guidance for improving obstetric healthcare management and service quality, and enhancing women′s childbirth experiences.Methods:Computerized searches were conducted in PubMed, Web of Science, Cochrane Library, CINAHL, PsycINFO, Scopus, ProQuest, China National Knowledge Infrastructure, Wanfang, Chinese Scientific Journals Database, and China Biology Medicine disc for qualitative studies on women′s experiences of shared decision-making participation and informed choice during childbirth. The search period spanned from January 1, 1997 to August 15, 2024. Literature quality was assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Qualitative Research. Meta-aggregation was employed to synthesize findings by grouping similar results into new categories and integrating outcomes based on logical relationships between categories.Results:Eleven studies were included, yielding 47 key findings synthesized into 10 categories and further integrated into four overarching themes: complex emotional experiences in intrapartum decision-making participation; Diverse coping strategies for intrapartum decision-making participation; multiple stressors faced during intrapartum decision-making participation; multifaceted support needs in intrapartum decision-making participation.Conclusions:Midwives and healthcare providers should deliver education on shared decision-making and informed choice during the third trimester. Continuous attention to maternal emotional shifts regarding decision-making participation and informed choice during labor is essential. Comprehensive decision support, effective intrapartum communication, and initiatives to promote maternal autonomy through empowerment and capacity building should be prioritized.