ObjectiveTo investigate the mechanism of Zuogui Wan （ZGW） in improving ovarian inflammatory microenvironment and stemness of ovarian germline stem cells （OSCs） for treating ovarian aging via the cyclic guanosine monophosphate/adenosine monophosphate synthase （cGAS）/stimulator of interferon genes （STING） signaling pathway. MethodsForty C57BL/6 female mice were randomly divided into a blank group， a model group， a low-dose ZGW group （2.7 g·kg^-1）， a high-dose ZGW group （5.4 g·kg^-1）， and an estradiol valerate group （0.15 mg·kg^-1）， with 8 mice in each group. Except the blank group， all other groups received a single intraperitoneal injection of cyclophosphamide at 120 mg·kg^-1 to establish an ovarian aging mouse model. After successful modeling， each group was continuously administered for 4 weeks， once daily. The physiological status of the mice was observed， and the ovarian index was calculated. The estrus cycle of the mice was monitored. Hematoxylin-eosin （HE） staining was used to observe pathological changes in ovarian tissue. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum sex hormone levels. Serum inflammatory factors interleukin-1β （IL-1β）， tumor necrosis factor-α （TNF-α）， and mouse interleukin-6 （IL-6） levels were detected using kits. Western blot was used to detect the protein expression of ovarian cGAS， STING， p-STING， TANK-binding kinase 1 （TBK1）， p-TBK1， interferon-induced transmembrane protein 3 （Fragilis）， and Vasa homolog protein （MVH）. Quantitative real-time polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of inflammatory factors in ovarian tissue. Immunofluorescence double labeling was performed to locate OSCs in ovarian tissues， and fluorescence intensities of OSCs markers MVH and octamer binding transcription factor 4 （Oct4） were calculated. ResultsCompared with the blank group， the model group showed reduced body weight， ovarian wet weight， and ovarian index （P<0.01） and a disordered estrus cycle （P<0.01）. In addition， the levels of serum follicle-stimulating hormone （FSH）， TNF-α， IL-6， and IL-1β were increased （P<0.01）， while anti-Müllerian hormone （AMH） and estradiol （E₂） levels were decreased （P<0.01）. The protein expression of cGAS， p-STING/STING， and p-TBK1/TBK1 in ovarian tissue was increased （P<0.05， P<0.01）， while that of OSCs stemness factors MVH and Fragilis was reduced （P<0.01）. Immunofluorescence indicated a reduction in MVH and Oct4 expression in OSCs （P<0.01）. The mRNA expression of inflammatory factors TNF-α， IL-6， and IL-1β in ovarian tissue was increased （P<0.05， P<0.01）. Compared with the model group， the treatment groups exhibited improved body weight， ovarian wet weight， and ovarian index （P<0.05） and a reduced rate of estrus cycle disorder （P<0.05， P<0.01）. The levels of serum FSH， TNF-α， IL-6， and IL-1β were decreased （P<0.05， P<0.01）， while AMH and E₂ levels were increased （P<0.01）. The protein expression levels of cGAS， p-STING/STING， and p-TBK1/TBK1 in ovarian tissue were decreased （P<0.05）， while the protein expression of MVH and Fragilis was increased （P<0.05）， and the fluorescence intensities of MVH and Oct4 were increased （P<0.05， P<0.01）. The mRNA expression of inflammatory factors in ovarian tissue was decreased （P<0.05）. ConclusionZGW alleviate ovarian inflammatory response， regulate ovarian microenvironment homeostasis， and maintain stemness of OSCs in ovarian aging mice probably by modulating the cGAS-STING signaling pathway， thereby improving ovarian function and delaying ovarian aging.

ObjectiveTo observe the short-term and long-term efficacy of traditional Chinese medicine （TCM） surgical operations in treating mixed hemorrhoids. MethodsA multi-center retrospective cohort study was conducted， collecting clinical data from 17，831 mixed hemorrhoid surgery patients in 8 top-tier TCM hospitals in Jiangsu Province. Standardized and structured datasets were obtained through artificial intelligence models. Patients who underwent western surgical treatment were categorized into the western surgery group （11,646 cases）， and those receiving TCM surgical operations were categorized into the TCM surgery group （6185 cases）. Propensity score matching （1∶1 matching） was used to balance baseline data between groups. The primary outcome was the one-year recurrence rate， and secondary outcomes included the main symptoms （rectal bleeding， degree of prolapse） and secondary symptoms （anal distension， anal edema， wound secretion and exudation， anal stenosis， residual skin tags， perianal itching， and anal pain） measured on days 7， 28， and 60 after discharge. ResultsAfter matching， 2194 patients were included in each group. Symptom scores showed that at 28 days after discharge， the TCM surgical group had superior improvement in rectal bleeding ［OR=5.786， 95%CI （3.092，10.827）］， degree of prolapse ［OR=4.510， 95%CI （1.649，12.333）］， and anal edema ［OR=3.188， 95%CI （1.295，7.845）］ compared to the western surgical group. At 60 days post-discharge， the TCM group still showed advantages in improving rectal bleeding ［OR=5.237， 95%CI （1.077，25.464）］ and anal pain ［OR=11.697， 95%CI （1.186，115.336）］ （P＜0.05）. Long-term follow-up showed that the one-year recurrence rate in the TCM surgery group was 1.1% （8/726）， while that in the western surgery group was 2.3% （10/444）， with no statistically significant difference between the two groups （P＞0.05）. ConclusionBased on real-world data， TCM surgical treatment for mixed hemorrhoids shows significant short-term symptom improvement， particularly in terms of hemostasis， reducing swelling， and alleviating prolapse of anal masses.

ObjectiveTo develop a standardized classification model for traditional Chinese medicine （TCM） syndrome patterns of mixed hemorrhoids using multi-center real-world data， and unveil their distribution patterns and core risk factors， thereby providing evidence-based support for standardizing TCM syndrome differentiation and implementing precision interventions. MethodsA multi-center cross-sectional study was conducted， enrolling 13 283 mixed hemorrhoid patients from eight hospitals in Jiangsu Province between September 1st， 2023 and December 31st， 2024. DeepSeek-R1-Distill-Qwen-7B and LLaMA-3.3 large language models （LLM） were integrated with latent class analysis （LCA） to perform unsupervised learning and latent class modeling of TCM symptomatology. Potential risk factors were screened via univariate analysis， followed by logistic regression to identify independent risk factors for each syndrome pattern. ResultsThe model's performance indicators were stable and reliable across different clinical data types，i.e. in the outpatient records， past medical history （F1=99.7%）， current medical history （F1=94.9%）， and specialist examination （F1=90.7%）； in inpatient records， past medical history （F1=98.2%）， current medical history （F1=91.2%）， specialist examination （F1=90.3%）， and discharge status （F1=90.6%）. Latent class mode-ling identified four core TCM syndrome patterns including spleen deficiency and qi sinking syndrome （915 cases， 6.89%）， damp-heat pouring downward syndrome （10 820 cases， 81.46%）， qi stagnation and blood stasis syndrome （1252 cases， 9.43%）， and wind injuring intestinal collaterals syndrome （296 cases， 2.22%）， with respective latent class probabilities of 0.069， 0.815， 0.094， and 0.022. Logistic regression demonstrated that gender， age， disease duration， hypertension， diabetes， hyperlipidemia， constipation， smoking history， and alcohol consumption were independent risk factors for pattern differentiation （P＜0.05）. The efficacy validation evaluation revealed that the cure rates for patients with spleen deficiency and qi sinking syndrome and qi stagnation and blood stasis syndrome were higher than those for patients with damp-heat pouring downward syndrome （adjusted P＜0.05）， with no statistically significant differences among other syndrome patterns. ConclusionDamp-heat pouring downward syndrome is the predominant syndrome in mixed hemorrhoids. Gender， age， disease duration， hypertension， diabetes， hyperlipi-demia， constipation， smoking history， and alcohol consumption are independent risk factors for the differentiation of syndrome types.

This paper has constructed a traditional Chinese medicine （TCM） specialized disease dataset platform for mixed hemorrhoids based on a multimodal large model， and the preliminary application has been validated. The platform uses StarRocks to establish a four-level data warehouse system， enabling the aggregation， cleaning， and standardization of multi-source heterogeneous data. Using DeepSeek-R1-Distill-Qwen-7B as the base model， domain fine-tuning is performed through low-rank adaptation （LoRA） technology. Combined with LLaMA-3.3 natural language processing and reasoning chain techniques， the platform enables intelligent parsing and structured extraction of unstructured TCM medical records. It accurately identifies six major categories and 28 subcategories of entities， including symptoms and syndromes， with a fine-tuned model F1 score of 93.8%. The platform has established a high-quality specialized disease dataset containing more than 50,000 medical records and has been applied in a real-world study involving 17,831 patients， preliminarily verifying the efficacy of TCM heritage surgery.

Membrane protein degradation is a cutting-edge field in targeted protein degradation (TPD). Herein, we developed glypican-3 (GPC3)-mediated lysosome-targeting chimeras (GLTACs) as a novel strategy for the targeted degradation of tumor-specific membrane proteins. GLTACs utilize tumor-specific expression and endocytosis properties of GPC3 to degrade membrane proteins. By conjugating a GPC3-targeting peptide with the ligand of protein of interest (POI), GLTACs induce the formation of a ternary complex that is internalized into lysosomes, leading to the degradation of the POI. The effectiveness and specificity of GLTACs were validated by designing PD-L1, c-Met, and FGFR1 degraders. In particular, GLTAC WP0 potently degraded PD-L1 and induced T-cell-mediated tumor killing against HepG2 cells, highlighting the potential therapeutic applications. The development of GLTAC technology expands the scope of TPD strategies and opens new avenues for discovering novel therapeutic modalities against challenging protein targets.

Objective To investigate the mechanism of Zishen Yutai Pills in the treatment of premature ovarian insufficiency(POI)by combining network pharmacology,bioinformatics analysis and molecular docking technology.Methods Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),HERB Database and Traditional Chinese Medicines Integrated Database(TCM-ID)were used to search and screen the active ingredients of Zishen Yutai Pills;PubChem and Swiss Target Prediction were used to predict the action targets of drug;Human Gene Database(GeneCards)and Comparative Toxicogenomics Database(CTD)were utilized to obtain the associated targets of POI;differential expression genes(DEGs)and weighted gene co-expression network(WGCNA)were performed with the help of R language to analyze transcriptome data of POI in GEO database,then the characteristic expression genes of POI were obtained,and the final POI disease targets were obtained after mapping with POI related targets.Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis were performed with the help of the Database for Annotation,Visualization,and Integrated Discovery(DAVID);protein-protein interactions were analyzed using the STRING database;Cytoscape 3.9.1 was used to construct"drug-component-target"to screen the core components and core targets of drugs;finally,MOE2019 molecular docking was used to test the effect correlation between the core components of the drugs and the targets.Results A total of 111 active ingredients,3 core ingredients and 36 POI targets,including 3 core targets,were screened in Zishen Yutai Pills.GO biological function analysis contained 92 enrichment results,mainly involving inflammatory response,positive regulation of calcium signaling pathway,steroid hormone production,etc.,KEGG enrichment obtained 15 pathways,mainly including interaction of viral proteins with cytokines and cytokine receptors,tryptophan metabolism,calcium signaling pathway,ovarian steroidogenesis,steroid hormone biosynthesis,chemokines,and other signaling pathways.The results of molecular docking indicated that arachidonate,isorhamnetin and quercetin can be well bined with CYP19A1,ESR2 and PI3K.Conclusion Zishen Yutai Pills play roles in treatment of POI by core components such as arachidonate,isorhamnetin and quercetin through acting on targets such as CYP19A1,ESR2 and PI3K,calcium signaling pathway,ovarian steroid hormone production,cytochrome P450 metabolism of xenobiotics,chemokines and other signaling pathways,and the inhibition of inflammation,regulation of oxidative stress,regulation of steroid hormone production and metabolism and other biological processes and other biological processes.

Objective:To investigate the factors associated with chromosomal abnormalities in embryos of patients with recurrent miscarriage in the in vitro fertilization/intracytoplasmic sperm injection and embryo transfer (IVF/ICSI-ET) population, and to establish a prediction model for chromosomal abnormalities. Methods:This was a retrospective case-control study, aborted tissues were collected from 349 patients who attended the Reproductive and Genetic Laboratory Sports New Town Ward of Dalian Women's and Children's Medical Center (Group) after IVF/ICSI from September 2019 to October 2024, and the samples were examined by copy number variation sequencing (CNV-seq) combined with short tandem repeat (STR) technology. According to the test results, the aborted tissues were divided into chromosome normal and chromosome abnormal groups. Factors affecting the occurrence of chromosomal abnormalities were analyzed by univariate analysis and multifactorial logistic regression.Results:1) By CNV-seq combined with STR method, a total of 252 cases (72.21%, 252/349) of chromosomal abnormalities were detected, while 97 cases had normal chromosomes. 2) The results of univariate analysis showed that the differences in female age, female body mass index (BMI), gestational week, number of miscarriages, progesterone level after 14 d post-transplantation, ovarian reserve function, male age, and male BMI were statistically significant between the chromosome normal group and the chromosome abnormal group (all P<0.05). 3) The results of the multifactorial logistic regression model showed that female age ( OR=1.261, 95% CI: 1.137-1.398, P<0.001), female BMI ( OR=1.121, 95% CI: 1.038-1.227, P=0.004), gestational week ( OR=1.406, 95% CI: 1.155-1.711, P=0.001), progesterone level 14 d after transplantation ( OR=1.016, 95% CI: 1.000-1.031, P=0.043), and BMI of the male partner ( OR=1.132, 95% CI: 1.050-1.220, P=0.001) were the independent risk factors of chromosomal abnormalities. 4) There were statistically significant differences in female age, female BMI, gestational week, progesterone level 14 d after transplantation, and male BMI between patients with normal chromosomes and those with trisomy chromosomes in aborted tissues (all P<0.05).Advanced female age was correlated with the occurrence of trisomy 22 ( P<0.05), and there was a correlation between advanced female age and increased male BMI and the occurrence of trisomy 16 (all P<0.05). Conclusion:The increase in maternal age, BMI, gestational age, progesterone levels 14 d after transplantation, and male BMI can all lead to an increase in the rate of chromosomal abnormalities and an increase in the incidence of trisomy. The advanced age of the female, can lead to the occurrence of trisomy 22. The age of the female and the BMI of the male are positively correlated with the abnormality rate of trisomy 16.

Objective:To assess the trends in the burden of periodontal disease among individuals aged 60 years and above in China from 1990 to 2021, thereby providing a scientific foundation for the development of targeted prevention and control strategies for periodontal disease in the elderly.Methods:Utilizing data from the Global Burden of Disease Study 2021 (GBD 2021), key indicators including incidence, prevalence, and disability-adjusted life years (DALY) rates were analyzed. Age-standardized rates were determined using the global standard population. Trends in the disease burden of periodontal disease among the elderly population in China from 1990 to 2021 were analyzed using Joinpoint regression analysis, and an autoregressive integrated moving average (ARIMA) model was applied to forecast the disease burden from 2022 to 2036.Results:The annual average percentage changes (AAPC) in the number of incident cases, prevalent cases, and DALYs due to periodontal disease among individuals aged 60 years and above in China from 1990 to 2021 were 3.215% (95% CI: 3.149%-3.281%, P<0.05), 3.161% (95% CI:3.037%-3.286%, P<0.05), and 3.091%(95% CI: 2.887%-3.296%, P<0.05), respectively. The results indicated that the average annual change trends of the number of incident cases, number of prevalent cases, and number of DALYs were real upward trends. Compared with other age groups, the number of incident cases, prevalent cases, and DALYs were the highest among the population aged 60-69 years. The AAPC for age-standardized incidence rate, prevalence, and DALY rates were -0.012% (95% CI:-0.031%-0.008%, P>0.05), 0.023% (95% CI:-0.070%-0.116%, P>0.05), and 0.013% (95% CI:-0.089%-0.115%, P>0.05), respectively. This indicated that the average annual change trends of the age-standardized incidence rate, age-standardized prevalence rate, and age-standardized DALY rate might be caused by random fluctuations. Males exhibited higher prevalence and DALY rates than females across all age groups ( P<0.05), whereas the incidence rates showed minimal differences between males and females across all age groups. The ARIMA forecast model indicated that the age-standardized incidence rate among males in the elderly population in China was relatively stable, while that among females showed a downward trend; the age-standardized prevalence and DALY rates followed a pattern of "decline-rise-decline". Conclusions:The disease burden of periodontal disease among Chinese adults aged 60 and above showed an overall upward trend from 1990 to 2021, with males and individuals aged 60-69 identified as high-risk groups. With the exacerbation of aging, the prevention and control situation remains severe, necessitating the implementation of gender-differentiated interventions to reduce the disease burden.

Objective:To characterize COVID-19-associated skin diseases and explore their influencing factors.Methods:A cross-sectional survey was conducted via the online platform Wenjuanxing in Changsha area from February 16, 2023, to March 16, 2023. The convenience sampling method was employed to conduct a survey of outpatients with a history of COVID-19 infection from the Second Affiliated Hospital of Hunan University of Chinese Medicine, as well as individuals in certain areas of Changsha who met the inclusion criteria for past COVID-19 infections. Demographic characteristics, COVID-19 infection details, and the occurrence of skin conditions after COVID-19 infection were collected. The chi-square test was used for inter-group comparisons of categorical data, and multivariate logistic regression analysis was performed to investigate factors associated with skin diseases following COVID-19 infection.Results:A total of 357 valid questionnaires were collected, and 357 patients with a history of COVID-19 infection were involved, including 246 females (68.9%) and 111 males (31.1%). Among these patients, 260 (72.8%) were aged ≤ 35 years. After COVID-19 infection, skin diseases occurred in 96 patients (26.9%), with urticaria (27 cases, 31.0%), rosacea (27 cases, 31.0%), hair loss (18 cases, 20.7%), and Henoch-Sch?nlein purpura (15 cases, 17.2%) being the most common diseases. Additionally, 96 patients (26.9%) had a history of pre-existing skin diseases, among whom 36 experienced exacerbation of their pre-existing skin diseases due to COVID-19 infection. Univariate analysis showed that gender, history of chronic diseases, history of allergic diseases, COVID-19 vaccination, duration of COVID-19 infection, and exacerbation of pre-existing skin diseases were significantly associated with the development of new skin diseases following COVID-19 infection (all P < 0.05). Multivariate logistic regression analysis revealed that gender (compared with females, males: OR = 0.235, 95% CI: 0.113, 0.490), history of allergic diseases (compared with patients without a history of allergic diseases, those with the history: OR = 2.159, 95% CI: 1.239, 3.761), and duration of COVID-19 infection (compared with the duration of < 5 days, duration of 6 - 7 days: OR = 3.043, 95% CI: 1.495, 6.193; duration of 8 - 14 days: OR = 2.364, 95% CI: 1.105, 5.506; duration of ≥ 15 days: OR = 4.406, 95% CI: 1.972, 9.849) were influencing factors for skin diseases after COVID-19 infection (all P < 0.05) . Conclusions:COVID-19 infection may lead to skin diseases such as urticaria, rosacea, hair loss, and Henoch-Sch?nlein purpura. Females, individuals with a history of allergic diseases, and those with a relatively long duration of COVID-19 infection were more prone to develop skin diseases after COVID-19 infection.

Case managers, as a type of advanced practice nurses, can not only fully meet patient needs and improve patient outcomes, but also innovate nurses′ workplaces and provide nurses with new directions for career development. This article provides an overview of the origin and development of case managers at home and abroad, their practice models, role responsibilities, current training status, current certification status, and current application status, and puts forward suggestions such as the development of practice standards for case managers, and the establishment of a standardized training system and certification body, with a view to providing references for the development of case managers in China.