Objective To systematically analyze the disease burden, long-term trends, and age-sex distribution of major valvular heart disease (VHD) subtypes—rheumatic heart disease (RHD), non-rheumatic valvular disease (NRVD), and non-rheumatic calcific aortic valve disease (CAVD)—in global, Chinese, and US populations from 1990 to 2021, providing evidence for public health strategies and clinical resource allocation. Methods Based on publicly available data from the Global Burden of Disease (GBD) Study 2021, we extracted incidence, mortality, and disability-adjusted life years (DALYs) for VHD from 1990 to 2021. Age-standardized rates (ASRs) were calculated using the GBD 2021 global standard population, and the estimated annual percentage change (EAPC) with its 95% uncertainty interval (UI) was computed for the period. Data from the Agency for Healthcare Research and Quality (AHRQ), the European Society of Cardiology (ESC)/Eurostat surveys, and Chinese national registries were used for trend triangulation and contextual background. Results From 1990 to 2021, the ASR and disease burden of RHD significantly decreased globally and in China (EAPC for DALYs in China: −4.8%, 95%UI: −5.0% to −4.6%). In contrast, the burden of NRVD and CAVD steadily increased in aging populations like those in China and the US, with a higher burden observed in older adults and males. In 2021, the incidence of NRVD and CAVD peaked in individuals aged ≥65 years, with rates being significantly higher in men than in women. RHD burden was concentrated in low socio-demographic index (SDI) regions, whereas NRVD/CAVD burden was strongly associated with high-SDI regions. Conclusion The global VHD epidemiological landscape is transitioning from an RHD-dominant to an NRVD/CAVD-dominant pattern. China faces a dual challenge of a residual RHD burden and a rapidly growing burden of degenerative valvular diseases. Developing tailored screening, prevention, and treatment strategies for different disease subtypes and populations is crucial.

Persistent infection with high-risk human papillomavirus(HR-HPV) is the primary etiological factor in cervical lesions and cervical cancer. Toll-like receptors(TLRs), as important pattern recognition receptors of the innate immune system, play a key role in the persistence of cervical HR-HPV infection. The "latent pathogen theory" in traditional Chinese medicine(TCM) holds that latent pathogens have both "latent" and "triggered" characteristics, which closely resemble the persistent infection and latent pathogenic potential of cervical HR-HPV. Guided by the "latent pathogen theory" and using contemporary immunological techniques, this paper explores the bidirectional immunomodulatory effects of TLRs in the persistence of cervical HR-HPV infection and their relationship with latent pathogens. The results indicate that TLRs play a crucial role in immune recognition and modulation. Dysregulation and overactivation of TLRs can induce chronic inflammation, allowing cervical HR-HPV to persist and evade immune detection. TLR dysfunction, coupled with a deficiency in healthy Qi that prevents the expulsion of pathogens, is a critical factor in the pathogenicity of latent pathogens. Restoring healthy Qi to modulate the immune functions of TLRs emerges as an important strategy for clearing cervical HR-HPV infection. By harmonizing the spleen and kidney and regulating immune balance, it is possible to reverse cervical HR-HPV infection, providing a scientific basis for clinical research.
Humans ; Toll-Like Receptors/genetics* ; Female ; Papillomavirus Infections/genetics* ; Papillomaviridae/immunology* ; Persistent Infection/genetics* ; Uterine Cervical Neoplasms/immunology* ; Animals ; Medicine, Chinese Traditional ; Cervix Uteri/immunology* ; Human Papillomavirus Viruses

Objective:To observe the effect of applying intermittent theta burst stimulation (iTBS) in the rehabilitation of preschool children with autism spectrum disorder (ASD).Methods:Seventy preschool children with ASD were randomly divided into a control group and an experimental group, each of 35. Both groups were given routine rehabilitation training, while the experimental group was additionally provided with iTBS for 4 weeks. Before and after the treatment, the children′s language comprehension and expression ability were evaluated using the language retardation test and the Autism Treatment Assessment Scale (ATEC).Results:The language comprehension and expression of the children in both groups had improved after the treatment, but the children in the experimental group then had better language comprehension and expression abilities. And they scored better on average in the language, social interaction, cognition and behavior sub-sections of the ATEC. Their average total score was also lower.Conclusions:iTBS can safely and effectively improve the language comprehension ability and expression of preschool children with ASD.

Objective:To explore the clinical phenotype and genetic characteristics of a child with neurodevelopmental disorder caused by homozygous frameshift variant of the TRAPPC6B gene, and to provide reference for the diagnosis of the disease. Methods:A child with neurodevelopmental disorder caused by homozygous variant of TRAPPC6B gene who was admitted to the Children′s Hospital Affiliated to Zhengzhou University in March 2023 due to " inability to stand and walk independently at 1 year and 3 months old" was selected as the study object. The clinical data were collected by retrospective analysis method. Target region high-throughput sequencing was carried out on the child and parental peripheral blood samples, and candidate variant was verified by Sanger sequencing and bioinformatic analysis. The pathogenicity of variant was rated according to the Standards and Guidelines for the Interpretation of Sequence Variants released by American College of Medical Genetics and Genomics (ACMG) (hereinafter referred to as ACMG guidelines). The study has been approved by the Medical Ethics Committee of the Children′s Hospital Affiliated to Zhengzhou University (Ethics No.2022-K-L025). Results:The child was a 1-year-and-3-months-old boy whose parents were sib mating. The child presented with global developmental delay, microcephaly and short stature. MRI showed poor white matter myelination, abnormal signals of bilateral periventricular white matter and bilateral external sac, thin corpus callosum, and widening of the third ventricle. Genetic testing revealed that the TRAPPC6B gene of the child had a homozygous variant of c. 240_241delAA (p.Q80Hfs*34), which was inherited from his parents. According to the ACMG guidelines, this variant was judged to be potentially pathogenic (PVS1_Strong+ PM2_Supporting+ PM3_Supporting), resulting in premature occurrence of terminator codons and a change in the three-dimensional structure of protein. The variant was located in the functional domain, which may directly affect the functional domain of the protein, resulting in functional domain defects. Conclusion:The frameshift variation of TRAPPC6B gene c. 240_241delAA (p.Q80Hfs*34) has not been reported, which may be the genetic cause of neurodevelopmental disorders in child in this study. These findings expand the variation spectrum of TRAPPC6B gene and provid basis for genetic counseling and prenatal diagnosis of this family.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Oral squamous cell carcinoma(OSCC)is a malignant lesion originating from the oral mucosal squamous epithelium,account-ing for over 80％of oral and maxillofacial malignancies.Key etiological factors include tobacco,alcohol abuse,and betel quid chewing.In China,its incidence has shown an overall upward trend,posing a significant threat to public health.OSCC exhibits high local invasive-ness,making early diagnosis critical for improving prognosis.Its clinical management requires close multidisciplinary collaboration among oral and maxillofacial surgery,head and neck surgery,radiation oncology,medical oncology,reconstructive surgery,radiology,patholo-gy,and nutritional support teams.Given the increasing disease burden of OSCC and rapid development of multidisciplinary collaborative models,an expert panel has formulated this integrated management consensus based on evidence-based medicine and extensive deliber-ation.Centered on the'Prevention-Screening-Diagnosis-Treatment-Rehabilitation'framework,the consensus provides comprehensive guidance for the entire disease course of OSCC patients,aiming to standardize clinical practice.

Objective To screen the core genes related to colon cancer in order to provide a new research direction for molecular di-agnosis,targeted therapy and prognosis evaluation of colon cancer.Methods Colon cancer differentially expressed genes(DEGs)were screened out from the gene expression database(GEO),and functional annotation and pathway enrichment analysis of DEGs were per-formed by gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)analysis in Metascape database.The network of protein interactions(PPI)was built utilizing the String database and Cytoscape software to identify the core genes.Survival analysis of se-lected core genes was performed using Kaplan-Meier plotter database,and expression level of core genes was verified using GEPIA2database.Metascape data was used to conduct KEGG pathway enrichment analysis on the selected core genes,and the signal pathway of core gene enrichment was identified.COL1A1 in the core gene was selected for immunohistochemical verification.Results A total of 468 DEGs were identified,including 162 UDEGs and 306 DDEGs.In the two datasets,there were 194 overlapping genes,of which 54 were up-regulated and 140 were down-regulated.With the help of CytoHubba plugin,the top 10gene nodes in the score were selected and identified as the possible core genes of colon cancer(COL1A1,MMP3,COL1A2,COL11A1,THBS2,BGN,MMP1,COL10A1,SPP1,INHBA).The prognosis and expression levels of these 10genes were analyzed,and the expression levels of the 10 core genes were different in colon cancer tissues and normal colon tissues.All of the 10 core genes were correlated with colon cancer prognosis except MMP1,among which MMP3 was positively correlated and the other 8genes were negatively correlated.KEGG analysis showed that core genes were mainly concentrated in three signaling pathways:cytoskeleton,extracellular matrix(ECM)receptor interaction and pro-tein digestion and absorption in muscle cells.Immunohistochemistry analysis revealed a marked increase in the expression level of COL1A1 within the tumor tissue compared to that in paracancer tissue.Conclusion The core genes COL1A1,MMP3,COL1A2,COL11A1,THBS2,BGN,MMP1,COL10A1,SPP1 and INHBA selected by bioinformation analysis may be involved in the occurrence and development of colon cancer,and may be related to the prognosis of patients with colon cancer.It is anticipated that it will serve as a clinically significant biomarker and a therapeutic target for colon cancer.

A rapid and accurate method for textile fiber identification was developed for quality control and consumer protection.This method utilized electric soldering iron burning-mesh collision enhanced microtube plasma ionization mass spectrometry(ESIB-MC-μTP-MS)to acquire textile fiber MS data and used a random forest(RF)prediction model to identify fiber composition based on these MS data.The MC-μTP device involved in the method was a homemade low-temperature plasma ionization device constructed using cost-effective and readily available components.The system was applicable for direct analysis of small amount of textile samples without any complex sample pretreatment processes.Characteristic thermal decomposition products of different fibers were generated via soldering iron burning(350℃)in ambient atmosphere,and were subsequently analyzed by a mass spectrometer,with each analysis completed within 5 s.Raw MS data underwent noise reduction,normalization,and global binning steps to form a dataset,and its intrinsic class separability was evaluated using principal component analysis(PCA)combined with k-means clustering.Then,the RF model was trained based on the dimensionality-reduced textile fiber dataset.After grid search optimization,this model demonstrated robust performance with a 0.9762 out-of-bag score,a 0.9683 cross-validation accuracy(5-fold),and a 0.9636 test accuracy,supported by precision,recall,and F1-scores exceeding 0.889 for all fiber classes.The method was applied to analysis of 30 luxury apparel samples from eight brands,among which 20 samples achieved 100%prediction confidence,aligning with labeled compositions.The identification result of two low-confidence samples was further confirmed using attenuated total reflection Fourier transform infrared spectroscopy(ATR-FT-IR).The method has been proven to be simple,portable and with minimal sample requirements for on-site customs inspections,providing a viable tool in the fight against counterfeit products,therefore supporting regulatory enforcement and consumer trust in the textile goods market.

Due to the poor ionization efficiency and the weak mass spectrometry(MS)intensity of weakly polar substances,direct analysis using the traditional electrospray ionization mass spectrometry(ESI-MS)is a big challenge.In this study,a novel rapid on-site detection method of four prohibited sex hormones in cosmetics was proposed using online derivatization strategy coupled with a miniature mass spectrometer.The target substances in the samples were extracted by a custom-made polyaniline/multi-walled carbon nanotube solid-phase microextraction(SPME)probe.The stirring speed was 200 r/min,the extraction temperature was 40℃,and the extraction time was 2 min.A pulled dual-channel θ borosilicate glass capillary emitter was used as the nano-ESI ion source.The SPME probe was inserted into the channel containing methanol in theθborosilicate glass capillary.When the spray voltage was applied,the four sex hormones were desorbed and formed spray microdroplets,which then collided with the hydroxylamine microdroplets generated from the other channel.The microdroplets of reaction product entered into the miniature mass spectrometer for direct analysis.The limits of detection(LOD)and limits of quantification(LOQ)for the four sex hormones were 10-20 ng/mL and 20-50 ng/mL,respectively.The recoveries were from 84.6%to 107.8%with the relative standard deviations(RSD)from 4.1%to 11.6%.Compared to detection without derivatization,the MS signals of the four target substances were increased by 3 to 15 times.This method was simple,rapid,highly efficient and sensitive,and suitable for on-site rapid analysis of weakly polar sex hormones in cosmetics.

Objective To analyze the trends in incidence and mortality of breast cancer among Chinese women from 1992 to 2021,assess the impact of age,period,and cohort on its incidence and mortality rates,and predict future trends to provide a basis for developing effective intervention strategies.Methods Utilizing the 2021 Global Burden of Disease(GBD2021)database,the Joinpoint regression model was employed to analyze the trends in age-standardized incidence and mortality rates of breast cancer among Chinese women from 1992 to 2021.The age-period-cohort model was applied to estimate the age,period,and cohort effects on the incidence and mortality of breast cancer among Chinese women during the same period.The autoregressive integrated moving average(ARIMA)model was used to predict the age-standardized incidence and mortality rates of breast cancer among Chinese women from 2022 to 2026.A stratified analysis was conducted to explore the impact of different risk factors[including smoking,alcohol consumption,high body mass index(BMI),hyperglycemia,physical inactivity,and diet]on breast cancer mortality.Results From 1992 to 2021,the incidence and mortality rates of breast cancer among Chinese women showed an overall upward trend,with incidence rates rising from 15.95/100,000 in 1992 to 55.54/100,000 in 2021,and mortality rates increasing from 7.35/100,000 to 12.41/100,000.The age-standardized incidence rate also exhibited an upward trend,rising from 18.51/100,000 to 37.00/100,000,with an average annual percentage change(AAPC)of 2.43%.However,the age-standardized mortality rate showed an overall downward trend,decreasing from 9.05/100,000 to 8.24/100,000,with an AAPC of-0.35%.The APC model analysis revealed that the age,period,and cohort effects on incidence and mortality were statistically significant(P<0.001).Within the same birth cohort,breast cancer incidence increased in women aged 15-89 years but decreased in those≥90 years.Breast cancer mortality showed a steady increase with age.With the increase in years,the risk of breast cancer incidence gradually increased,reaching the highest between 2017 and 2021,with a relative risk(RR)value of 1.37.Conversely,the risk of breast cancer mortality decreased with the increase in years,with the lowest mortality between 2012 and 2016,and an RR value of 0.86.With the increase in the birth cohort year,the risk of breast cancer incidence gradually increased,while the risk of mortality gradually decreased.The ARIMA model prediction results showed that the age-standardized incidence rate of breast cancer among women would continue to rise from 2022 to 2026,reaching 40.25/100,000 by 2026,while the age-standardized mortality rate would tend to stabilize at 8.28/100,000 by 2026.Among the risk factors for breast cancer,diet was found to have the highest impact on breast cancer mortality.Conclusions The incidence rate of breast cancer among Chinese women continues to rise,indicating that the prevention and control situation remains severe.Future efforts should focus on developing precise screening programs for high-risk populations and optimizing early screening strategies and treatment resource allocation based on predicted trend.