Purpose: Approximately 50%-74% of patients with metastatic human epidermal growth factor receptor 2 (HER2)–positive breast cancer do not respond to trastuzumab, with 75% of treated patients experiencing disease progression within a year. The combination of pyrotinib and capecitabine has showed efficacy in these patients. This study evaluates the efficacy and safety of pyrotinib combined with metronomic vinorelbine for trastuzumab-pretreated HER2-positive advanced breast cancer patients. Materials and Methods: In this phase 2 trial, patients aged 18-75 years with HER2-positive advanced breast cancer who had previously failed trastuzumab treatment were enrolled to receive pyrotinib 400 mg daily in combination with vinorelbine 40mg thrice weekly. The primary endpoint was progression-free survival (PFS), while secondary endpoints included objective response rate (ORR), disease control rate (DCR), overall survival (OS), and safety. Results: From October 21, 2019, to January 21, 2022, 36 patients were enrolled and received at least one dose of study treatment. At the cutoff date, 20 experienced disease progression or death. With a median follow-up duration of 35 months, the median PFS was 13.5 months (95% confidence interval [CI], 8.3 to 18.5). With all patients evaluated, an ORR of 38.9% (95% CI, 23.1 to 56.5) and a DCR of 83.3% (95% CI, 67.2 to 93.6) were achieved. The median OS was not reached. Grade 3 adverse events (AEs) were observed in 17 patients, with diarrhea being the most common (27.8%), followed by vomiting (8.3%) and stomachache (5.6%). There were no grade 4/5 AEs. Conclusion Pyrotinib combined with metronomic vinorelbine showed promising efficacy and an acceptable safety profile in HER2-positive advanced breast cancer patients after trastuzumab failure.

Purpose: Approximately 50%-74% of patients with metastatic human epidermal growth factor receptor 2 (HER2)–positive breast cancer do not respond to trastuzumab, with 75% of treated patients experiencing disease progression within a year. The combination of pyrotinib and capecitabine has showed efficacy in these patients. This study evaluates the efficacy and safety of pyrotinib combined with metronomic vinorelbine for trastuzumab-pretreated HER2-positive advanced breast cancer patients. Materials and Methods: In this phase 2 trial, patients aged 18-75 years with HER2-positive advanced breast cancer who had previously failed trastuzumab treatment were enrolled to receive pyrotinib 400 mg daily in combination with vinorelbine 40mg thrice weekly. The primary endpoint was progression-free survival (PFS), while secondary endpoints included objective response rate (ORR), disease control rate (DCR), overall survival (OS), and safety. Results: From October 21, 2019, to January 21, 2022, 36 patients were enrolled and received at least one dose of study treatment. At the cutoff date, 20 experienced disease progression or death. With a median follow-up duration of 35 months, the median PFS was 13.5 months (95% confidence interval [CI], 8.3 to 18.5). With all patients evaluated, an ORR of 38.9% (95% CI, 23.1 to 56.5) and a DCR of 83.3% (95% CI, 67.2 to 93.6) were achieved. The median OS was not reached. Grade 3 adverse events (AEs) were observed in 17 patients, with diarrhea being the most common (27.8%), followed by vomiting (8.3%) and stomachache (5.6%). There were no grade 4/5 AEs. Conclusion Pyrotinib combined with metronomic vinorelbine showed promising efficacy and an acceptable safety profile in HER2-positive advanced breast cancer patients after trastuzumab failure.

Purpose: Approximately 50%-74% of patients with metastatic human epidermal growth factor receptor 2 (HER2)–positive breast cancer do not respond to trastuzumab, with 75% of treated patients experiencing disease progression within a year. The combination of pyrotinib and capecitabine has showed efficacy in these patients. This study evaluates the efficacy and safety of pyrotinib combined with metronomic vinorelbine for trastuzumab-pretreated HER2-positive advanced breast cancer patients. Materials and Methods: In this phase 2 trial, patients aged 18-75 years with HER2-positive advanced breast cancer who had previously failed trastuzumab treatment were enrolled to receive pyrotinib 400 mg daily in combination with vinorelbine 40mg thrice weekly. The primary endpoint was progression-free survival (PFS), while secondary endpoints included objective response rate (ORR), disease control rate (DCR), overall survival (OS), and safety. Results: From October 21, 2019, to January 21, 2022, 36 patients were enrolled and received at least one dose of study treatment. At the cutoff date, 20 experienced disease progression or death. With a median follow-up duration of 35 months, the median PFS was 13.5 months (95% confidence interval [CI], 8.3 to 18.5). With all patients evaluated, an ORR of 38.9% (95% CI, 23.1 to 56.5) and a DCR of 83.3% (95% CI, 67.2 to 93.6) were achieved. The median OS was not reached. Grade 3 adverse events (AEs) were observed in 17 patients, with diarrhea being the most common (27.8%), followed by vomiting (8.3%) and stomachache (5.6%). There were no grade 4/5 AEs. Conclusion Pyrotinib combined with metronomic vinorelbine showed promising efficacy and an acceptable safety profile in HER2-positive advanced breast cancer patients after trastuzumab failure.

Background Multiple studies have shown a close relationship between changes in gut microbiota composition and obesity, and research results are influenced by factors such as race and geographical location, but there are few studies on children. Objective To analyze the diversity of gut microbiota related to obesity in a population of 2-6 years old, observe the distribution characteristics and species differences of gut microbiota between obese/overweight and normal weight groups, and explore the association betweenobese/overweight and gut microbiota diversity. Methods Fecal samples were collected from 74 children aged 2-6 years in Shanghai, including 18 obese/overweight individuals, 6 males and 12 females (male to female ratio of 1∶2), and 56 normal weight individuals, 18 males and 38 females (male to female ratio is nearly 1∶2). The 16S rDNA was extracted from bacteria in fecal samples, followed by PCR amplification, cDNA construction, and high-throughput sequencing. Naive Bayes algorithm was used to perform taxonomic analysis (phylum, class, order, family, genus, species) and community diversity analysis (Sobs index, Shannon index, Shannoneven index, Coverage index, PD index, and principal co-ordinates analysis) on representative sequences and abundance of amplicon sequence variants (ASV). Wilcoxon rank sum test, P-value multiple test correction, and analysis of similarities were used to test differences between the two groups to obtain information on the distribution characteristics and species differences of intestinal microbiota in children. Results Seventy-four fecal samples were sequenced, and the sequencing results were subjected to quality control and filtering. A total of 4905306 optimized sequences were obtained, resulting in 1860 ASVs. The diversity data analysis of ASVs generated 889 species annotation results at 8 taxonomic levels. The alpha diversity analysis showed that the richness (Sobs index), diversity (Shannon index), evenness (Shannoneven index), and phylogenetic diversity (PD index) of fecal community of the obese/overweight children were increased compared to those of the normal weight children, but there were no statistical differences between the two groups (P>0.05). The beta diversity analysis showed that there was little difference in the composition of microbial species between the two groups, and no significant clustering separation was observed. The results of species composition analysis at phylum, order, family, and genus levels of 74 samples showed a consistent core microbiota structure in the two groups of gut microbiota, but there were differences in microbiota composition. The differences in microbial community composition between the two groups were manifested at the taxonomic levels of order, family, and genus, among which phylum Firmicutes, order Erysipelotrichales, family Erysipelatocyclostridiaceae, genus Erysipelotrichaceae_ UCG-003 and genus Catenibacterium were significantly enriched in the obese/overweight group and contributed significantly to the phenotypic difference of obese/overweight [linear discriminant analysis (LDA)=3.72, P<0.01; LDA=3.29, P<0.05). Phylum Proteobacteria, order Enterobacterales, family Enterobacteriaceae, genus unclassified was significantly enriched in the normal weight group and contributed significantly to the phenotypic difference of normal body weight (LDA=3.93, P<0.05). Conclusion The richness and diversity of gut microbiota in obese/overweight children aged 2-6 years in Shanghai are increased, but there is no difference compared to normal weight children. There is a difference in the composition of gut microbiota between the obese/overweight group and the normal weight group.

Sesquiterpenoids are natural compounds composed of 15 carbon atoms， which can be divided into sesquiterpene alcohols， ketones， lactones， aldehydes， and carboxylic acids according to oxygen groups. These compounds are widely distributed in nature， and their physiological activities are diverse. For example， many sesquiterpenes with potential anticancer effects have been found for anti-tumor effects， including cytotoxicity， antioxidant， immune regulation， cell proliferation， and so on. In addition， some sesquiterpenoids have good application prospects in antibacterial， anti-inflammatory， and anti-cardiovascular diseases. Malignant tumors， inflammation， bacterial diseases， and cardiovascular diseases are the main diseases that cause human death， and natural products have unique advantages in the treatment of these diseases. Therefore， the development of new drugs that are easy to promote has become a new research hotspot. In this paper， the sesquiterpenes extracted from the natural components of Chinese herbs and plants with anti-tumor， anti-inflammatory， antibacterial， and anti-cardiovascular activities， such as Xanthium， Atractylodes， Convolvulus， Acanthium， Ligularia， Artemisia， Ligularia， Ligularia， Labiaceae Mint， Acanthophyllum， Turmeria， Ginger， and other Chinese herbs and plants， were discussed. The biological activities and related mechanisms of this compound were reviewed， which provided a reference for further research and clinical application of sesquiterpenes.

Objective:To investigate the effect of a visual walking training based on wearable cueing devices on ground reaction force of Parkinson's disease patients with freezing of gait. Method:Twenty-three PD with FOG(PD+FOG)were selected and twenty healthy controls(HC)were tested in gait laboratory.The experimental group was trained with wearable walking guide devices for 20 minutes,twice a day for one week.The Vicon 3D gait analysis system was used to collect the spatiotemporal parame-ters and the ground reaction force parameters of the non-dominant side and the dominant side including front-back peak,medial-lateral peak and the first vertical peak)of the experimental group and the control group be-fore and after training. Result:①After the intervention,the bilateral step length and velocity of patients in the experimental group in-creased signi ficantly(P＜0.05),while cadence,double stance phase decreased significantly(P＜0.05).After train-ing,there was no significant difference in the dominant step length,cadence and double stance phase between experimental group and control group(P＞0.05).②After the training,bilateral parameters(landing angles of hip joints,the maximum angles of ankle dorsiflexion and plantar flexion,and the ranges of motion of lower limb joints)in the experimental group increased significantly,while the landing angles of knee joints de-creased,and the stage of the first peak of ankle joints was delayed,with statistical significance(P＜0.05).Af-ter the training,knee joint landing angle,maximum ankle dorsiflexion angle,the first peak stage of ankle joint,lower limb joint range of motion had no significant difference between the experimental group and the control group in both sides(P＞0.05).③After the intervention,the front-back peak value and the first vertical peak of the bilateral ground reaction force in the experimental group were significantly increased(P＜0.05),while the medial-lateral peak value of the ground reaction force was significantly decreased(P＜0.05).Compared with the control group,there was no significant difference in the backward peak,medial peak of non-domi-nant side and parameters of the dominant side(P＞0.05). Conclusion:The visual walking training based on wearable walking guide devices improve the stability and consistency of gait of PD+FOG.

Objective:To investigate the ultrasonic characteristics and evolution pattern of fetal adrenal hematoma (AH).Methods:A retrospective analysis was conducted on the clinical data of one fetal AH diagnosed at the Affiliated Hospital of Jining Medical University. The study involved a comprehensive search of the relevant cases of fetal AH published from January 1, 1989, to December 31, 2022, in the Yiigle database, China National Knowledge Infrastructure Database, Wanfang Database, and PubMed Database. The clinical features, sonographic characteristics, interventions, and prognosis of fetal AH were summarized. Descriptive statistical analysis was used.Results:(1) Case: An ultrasound at 36 +3 weeks of pregnancy detected a mixed echogenic nodule at the fetal left adrenal region, with clear border and no obvious blood flow signal. Fetal AH was considered. Observations from the close ultrasound follow-up on the case before and after birth, and one year and eight months after birth presented a gradual transformation of the lesion from mixed echogenic to solid echogenic and a reduction following enlargement in lesion size. The lesion was ultimately liquefied and absorbed. (2) Literature review: A total of 12 cases of fetal AH that had clear diagnosis and ultrasound data were retrieved and added to the present case, for a total of 13 cases. Neither prenatal maternal nor postnatal typical clinical manifestations were observed in fetal AH cases. In cases with large hemorrhage and/or bilateral adrenal hemorrhage, mild jaundice and feeding difficulties may be present. Two cases were terminated, one live baby died of heart failure due to vein of Galen aneurysmal malformation, other ten had good prognosis. Fetal AH ultrasound image features demonstrated time-dependent changes, progressing in the sequence of anechoicity, solid echogenicity, mixed echogenicity, and complete absorption of the lesion, or residual hyperechogenicity. Conclusions:Fetal AH is a rare condition that exhibits characteristic transformations in ultrasound image features over time. Conducting close follow-up ultrasound examinations is the preferred and crucial approach to the diagnosis of fetal AH.

Objective To explore the current status and potential subtypes of frailty among family caregivers of patients with dementia,and to analyze the related influencing factors of different subtypes.Methods Dementia patients and their family caregivers in 8 community health service centers in Shanghai from June to October 2023 were recruited by convenience sampling.General information questionnaire,Tilburg Frailty Indicator(TFI),Pittsburgh Sleep Quality Index(PSQI),Self-Rating Depression Scale(SDS),Zarit Caregiver Burden Interview(ZBI),and Connor-Davidson Resilience Scale(CD-RISC)were conducted for investigation.Latent profile analysis was used to explore the potential subtypes of frailty among family caregivers of patients with dementia.The influencing factors associated with the potential subtypes were identified by univariate analysis and multivariate Logistic regression analysis.Results A total of 470 family caregivers of patients with dementia were surveyed,and 46.17％of them suffered from frailty.Frailty among family caregivers of patients with dementia can be classified into 3 potential subtypes:comprehensive-low frailty subtype(70.64％),psychosocial-medium frailty subtype(19.57％),and physical-high frailty subtype(9.79％).Family caregivers of patients with dementia who had poor sleep quality and suffered from 2 or more chronic diseases were more likely to be classified into the physical-high frailty subtype(P＜0.05).Family caregivers of patients with dementia who had higher levels of depression,lower mastery levels of caregiving knowledge and skills and spousal caregivers were more likely to be classified into the psychosocial-medium frailty subtype(P＜0.05).Family caregivers of patients with dementia who had higher levels of resilience were more likely to be classified into the comprehensive-low frailty subtype(P＜0.05).Conclusion The incidence of frailty among family caregivers of patients with dementia is at a high level with significant heterogeneity.It is suggested that medical staff should pay attention to the frailty of family caregivers,with a focus on family caregivers in the psychosocial-medium frailty subtype or physical-high frailty subtype,and take timely and targeted interventions according to the characteristics and influencing factors of different subtypes,so as to prevent or delay the occurrence and development of frailty.

Objective:Abnormal immune system activation and inflammation are crucial in causing Parkinson's disease.However,we still don't fully understand how certain immune-related genes contribute to the disease's development and progression.This study aims to screen key immune-related gene in Parkinson's disease based on weighted gene co-expression network analysis(WGCNA)and machine learning. Methods:This study downloaded the gene chip data from the Gene Expression Omnibus(GEO)database,and used WGCNA to screen out important gene modules related to Parkinson's disease.Genes from important modules were exported and a Venn diagram of important Parkinson's disease-related genes and immune-related genes was drawn to screen out immune related genes of Parkinson's disease.Gene ontology(GO)analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)were used to analyze the the functions of immune-related genes and signaling pathways involved.Immune cell infiltration analysis was performed using the CIBERSORT package of R language.Using bioinformatics method and 3 machine learning methods[least absolute shrinkage and selection operator(LASSO)regression,random forest(RF),and support vector machine(SVM)],the immune-related genes of Parkinson's disease were further screened.A Venn diagram of differentially expressed genes screened using the 4 methods was drawn with the intersection gene being hub nodes(hub)gene.The downstream proteins of the Parkinson's disease hub gene was identified through the STRING database and a protein-protein interaction network diagram was drawn. Results:A total of 218 immune genes related to Parkinson's disease were identified,including 45 upregulated genes and 50 downregulated genes.Enrichment analysis showed that the 218 genes were mainly enriched in immune system response to foreign substances and viral infection pathways.The results of immune infiltration analysis showed that the infiltration percentages of CD4+ T cells,NK cells,CD8+ T cells,and B cells were higher in the samples of Parkinson's disease patients,while resting NK cells and resting CD4+ T cells were significantly infiltrated in the samples of Parkinson's disease patients.ANK1 was screened out as the hub gene.The analysis of the protein-protein interaction network showed that the ANK1 translated and expressed 11 proteins which mainly participated in functions such as signal transduction,iron homeostasis regulation,and immune system activation. Conclusion:This study identifies the Parkinson's disease immune-related key gene ANK1 via WGCNA and machine learning methods,suggesting its potential as a candidate therapeutic target for Parkinson's disease.

Objective:To screen the main characteristic variables affecting the incidence of cardiovascular and cerebrovascular diseases,and to construct the Bayesian network model of cardiovascular and cerebrovascular disease incidence risk based on the top 10 characteristic variables,and to provide the reference for predicting the risk of cardiovascular and cerebrovascular disease incidence.Methods:From the UK Biobank Database,315 896 participants and related variables were included.The feature selection was performed by categorical boosting(CatBoost)algorithm,and the participants were randomly divided into training set and test set in the ratio of 7∶3.A Bayesian network model was constructed based on the max-min hill-climbing(MMHC)algorithm.Results:The prevalence of cardiovascular and cerebrovascular diseases in this study was 28.8％.The top 10 variables selected by the CatBoost algorithm were age,body mass index(BMI),low-density lipoprotein cholesterol(LDL-C),total cholesterol(TC),the triglyceride-glucose(TyG)index,family history,apolipoprotein A/B ratio,high-density lipoprotein cholesterol(HDL-C),smoking status,and gender.The area under the receiver operating characteristic(ROC)curve(AUC)for the CatBoost training set model was 0.770,and the model accuracy was 0.764;the AUC of validation set model was 0.759 and the model accuracy was 0.763.The clinical efficacy analysis results showed that the threshold range for the training set was 0.06-0.85 and the threshold range for the validation set was 0.09-0.81.The Bayesian network model analysis results indicated that age,gender,smoking status,family history,BMI,and apolipoprotein A/B ratio were directly related to the incidence of cardiovascular and cerebrovascular diseases and they were the significant risk factors.TyG index,HDL-C,LDL-C,and TC indirectly affect the risk of cardiovascular and cerebrovascular diseases through their impact on BMI and apolipoprotein A/B ratio.Conclusion:Controlling BMI,apolipoprotein A/B ratio,and smoking behavior can reduce the incidence risk of cardiovascular and cerebrovascular diseases.The Bayesian network model can be used to predict the risk of cardiovascular and cerebrovascular disease incidence.