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.

Objective To monitor the concentrations of six disinfection byproducts including trichloromethane,dibromochloromethane,bromodichloromethane, tribromomethane, dichloroacetic acid and trichloroacetic acid in drinking water in the main urban area of Wuhan, and to assess the potential health risks. Methods A total of 373 samples were collected from the central urban area during 2023 to 2024. The concentrations of the substances were tested according to the national Standard Examination Methods for Drinking Water. The detection rates of the six disinfection byproducts were statistically analyzed, and the concentration differences of the six disinfection byproducts in different time periods and different types of water samples were compared. The health risk assessment model recommended by the United States Environmental Protection Agency was used for risk assessment. Results Trichloromethane was the most common substance found in drinking water, followed by dichlorobromomethane, chlorodibromomethane, trichloroacetic acid, tribromomethane, and finally dichloroacetic acid. The concentration of dichlorobromomethane in treated water was higher than that in tap water, while the concentration of dichloroacetic acid was lower than the tap water, both with significant differences. The concentrations of the six chlorination disinfection by-products in the dry season were all significantly higher than those in the wet season. The carcinogenic risks of the disinfection byproducts were trichloroacetic acid > dichloroacetic acid > dichlorobromomethane > chlorodibromomethane > tribromomethane, and the non-carcinogenic risks were trichloromethane > trichloroacetic acid > dichlorobromomethane > chlorodibromomethane > dichloroacetic acid > tribromomethane. Conclusion Trichloroacetic acid is the substance with the highest carcinogenic risk, while trichloromethane is the non-carcinogenic substance with the highest risk, which requires special attention.

OBJECTIVES: To investigate the role of nucleolar pre-rRNA processing protein NIP7 (NIP7) in maintaining the malignant phenotype of anaplastic thyroid cancer (ATC) and its molecular mechanisms. METHODS: NIP7 expression in ATC tissues and its gene knock-out effects in ATC cells were analyzed using gene expression microarray (GSE33630), proteome database (IPX0008941000) and the Dependency Map database, respectively. Expression and localization of NIP7 in normal thyroid cells, papillary thyroid cancer cells, and ATC cells were detected by Western blotting. Small interfering RNA (siRNA) was transfected into ATC cells, and the knockdown efficiency of NIP7 was detected by quantitative reverse transcription polymerase chain reaction (qRT-PCR) and Western blotting. Cell proliferation was assessed by CCK-8 assay, colony formation was evaluated by colony formation assay, and tumor growth was assessed by xenograft tumor model in nude mice. SUnSET (surface sensing of translation) assay combined with co-immunoprecipitation were employed to evaluate the effect of NIP7 silencing on ubiquitin-conjugating enzyme E2 C (UBE2C) translation. Finally, gene set enrichment analysis was used to identify shared pathways of NIP7 and UBE2C, which were validated by qRT-PCR. RESULTS: Compared with normal tissues and papillary thyroid cancer, NIP7 was significantly upregulated in ATC tissues, and had a gene knock-out fitness effect on different ATC cell lines. The relative protein levels of NIP7 in ATC cells were significantly higher than those in normal thyroid follicular cells, and the protein was mainly expressed in the nucleus. NIP7 silencing significantly inhibited cell proliferation and reduced colony formation. Xenograft tumor model showed that NIP7 knockdown significantly slowed down the growth of ATC xenograft, and the tumor volume and weight were significantly lower than those in the control group (all P<0.05). NIP7 silencing downregulated the protein level of UBE2C, but did not affect the expression of UBE2C mRNA. Compared to the control group, UBE2C silencing significantly inhibited ATC cells proliferation (P<0.01) and colony formation (P<0.05). UBE2C overexpression reversed the proliferation-inhibitory effect induced by NIP7 silencing (P<0.01). Gene set enrichment analysis indicated that NIP7 and UBE2C were both involved in DNA replication. NIP7 or UBE2C silencing could significantly downregulate the expression levels of DNA polymerase epsilon, catalytic subunit 2 and replication factor C4 in DNA replication pathway. CONCLUSIONS NIP7 promotes ATC tumor growth by upregulating UBE2C to mediate DNA replication.
Humans ; Ubiquitin-Conjugating Enzymes/genetics* ; Thyroid Neoplasms/genetics* ; Thyroid Carcinoma, Anaplastic/genetics* ; Animals ; Mice, Nude ; Mice ; Cell Line, Tumor ; Cell Proliferation ; Up-Regulation ; RNA, Small Interfering/genetics* ; Nuclear Proteins/metabolism* ; Gene Expression Regulation, Neoplastic

BACKGROUND: Currently, lung cancer is one of the malignant tumors with a high morbidity and mortality all over the world. However, the exact mechanisms underlying lung cancer progression remain unclear. The tumor necrosis factor receptor associated factor (TRAF) family members are cytoplasmic adaptor proteins, which function as both adaptor proteins and ubiquitin ligases to regulate diverse receptor signalings, leading to the activation of nuclear factor kappa-B (NF-κB), mitogen-activated protein kinase (MAPK) and interferon regulatory factor (IRF) signaling. The aim of this study was to investigate the expression of TRAFs in different tissues and cancer types, as well as its mRNA expression, protein expression, prognostic significance and functional enrichment analysis in non-small cell lung cancer (NSCLC), in order to provide new strategies for the diagnosis and treatment of NSCLC. METHODS: RNA sequencing data from the The Genotype-Tissue Expression database was used to analyze the expression patterns of TRAF family members in different human tissues. RNA sequencing data from the Cancer Cell Line Encyclopedia database was used to analyze the expression patterns of TRAF family members in different types of cancer cell lines. RNA sequencing data from the The Cancer Genome Atlas (TCGA) database was used to analyze the mRNA levels of TRAF family members across different types of human cancers. Immunohistochemistry (IHC) analyses from HPA database were used to analyze the TRAF protein levels in NSCLC [lung adenocarcinoma (LUAD) and lung squamous carcinoma (LUSC)]. Overall survival analysis was performed by Log-rank test using original data from Kaplan-Meier Plotter database to evaluate the correlation between TRAF expressions and prognosis. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed on the TRAF family-related genes using RNA sequencing data from the TCGA database for NSCLC. The correlation between the expression levels of TRAF family members and the tumor immune microenvironment was analyzed using the ESTIMATE algorithm based on RNA sequencing data from the TCGA database. RESULTS: The TRAF family members exhibited significant tissue-specific expression heterogeneity. TRAF2, TRAF3, TRAF6 and TRAF7 were widely expressed in most tissues, while the expressions of TRAF1, TRAF4 and TRAF5 were restricted to specific tissues. The expressions of TRAF family members were highly specific among different types of cancer cell lines. In mRNA database of LUAD and LUSC, the expressions of TRAF2, TRAF4, TRAF5 and TRAF7 were significantly upregulated; while TRAF6 did the opposite; moveover, TRAF1 and TRAF3 only displayed a significant upregulation in LUAD and LUSC, respectively. Except for TRAF3, TRAF4 and TRAF7, other TRAF proteins displayed an obviously deeper IHC staining in LUAD and LUSC tissues compared with normal tissues. Additionally, patients with higher expression levels of TRAF2, TRAF4 and TRAF7 had shorter overall survival; while patients with higher expression levels of TRAF3, TRAF5 and TRAF6 had significantly longer overall survival; however, no significant difference had been observed between TRAF1 expression and the overall survival. TRAF family members differentially regulated multiple pathways, including NF-κB, immune response, cell adhesion and RNA splicing. The expression levels of TRAF family members were closely associated with immune cell infiltration and stromal cell content in the tumor immune microenvironment, with varying positive and negative correlations among different members. CONCLUSIONS TRAF family members exhibit highly specific expression differences across different tissues and cancer types. Most TRAF proteins exhibit upregulation at both mRNA and protein levels in NSCLC, whereas, only upregulated expressions of TRAF2, TRAF4 and TRAF7 predict worse prognosis. The TRAF family members regulate processes such as inflammation, immunity, adhesion and splicing, and influence the tumor immune microenvironment.
Humans ; Carcinoma, Non-Small-Cell Lung/pathology* ; Lung Neoplasms/mortality* ; Prognosis ; Gene Expression Regulation, Neoplastic ; Tumor Necrosis Factor Receptor-Associated Peptides and Proteins/metabolism*

Objective: To conduct a scoping review on the types, construction methods and predictive performance of health literacy prediction models based on machine learning methods, so as to provide the reference for the improvement and application of such models. Methods: Publications on health literacy prediction models conducted using machine learning methods were retrieved from CNKI, Wanfang Data, VIP, PubMed and Web of Science from inception to May 1, 2024. The quality of literature was assessed using the Prediction Model Risk of Bias ASsessment Tool. Basic characteristics, modeling methods, data sources, missing value handling, predictors and predictive performance were reviewed. Results: A total of 524 publications were retrieved, and 22 publications between 2007 and 2024 were finally enrolled. Totally 48 health literacy prediction models were involved, and 25 had a high risk of bias (52.08%), with major issues focusing on missing value handling, predictor selection and model evaluation methods. Modeling methods included regression models, tree-based machine learning methods, support vector machines and neural network models. Predictors primarily encompassed factors at four aspects: individual, interpersonal, organizational and society/policy aspects, with age, educational level, economic status, health status and internet use appearing frequently. Internal validation was conducted in 14 publications, and external validation was conducted in 4 publications. Forty-two models reported the areas under the receiver operating characteristic curve, which ranged from 0.52 to 0.983, indicating good discrimination. Conclusion Health literacy prediction models based on machine learning methods perform well, but have deficiencies in risk of bias, data processing and validation.

Objective:To develop and validate the Pain nursing Competency Evaluation Questionnaire for Nursing Students to provide an effective tool for measuring the pain management competency of nursing students in China.Methods:The questionnaire was constructed through literature review, semi-structured interviews, focus group discussions, Delphi expert consultation, and a pre-survey. From September 2023 to January 2024, a convenience sampling method was used to select 250 nursing students from Hangzhou Normal University and Lishui University in Zhejiang Province for the survey. Reliability and validity of the developed questionnaire were tested. A random sample of 30 nursing students was selected for retesting after two weeks.Results:A total of 10 female experts were consulted through correspondence. The Pain Care Competency Evaluation Questionnaire for nursing students consists of 36 items. Through exploratory factor analysis, five common factors were extracted: pain health education, comprehensive pain assessment, pain screening and assessment, analgesic interventions, and analgesic side effects nursing, which together explained 61.695% of the variance. The content validity of the questionnaire was 0.96, and the item-level content validity index ranged from 0.900 to 1.000. The overall Cronbach′s α coefficient was 0.924, and the Cronbach′s α coefficients for the five dimensions ranged from 0.856 to 0.915. The test-retest reliability was 0.831. Conclusions:The Pain Care Competency Evaluation Questionnaire for nursing students developed in this study has good reliability and validity. It can be used as a tool to assess nursing students′ competency in pain care and provides a reference for the design and optimization of pain care courses and clinical practice programs for nursing students in undergraduate institutions.

Objective:To develop and validate the Pain nursing Competency Evaluation Questionnaire for Nursing Students to provide an effective tool for measuring the pain management competency of nursing students in China.Methods:The questionnaire was constructed through literature review, semi-structured interviews, focus group discussions, Delphi expert consultation, and a pre-survey. From September 2023 to January 2024, a convenience sampling method was used to select 250 nursing students from Hangzhou Normal University and Lishui University in Zhejiang Province for the survey. Reliability and validity of the developed questionnaire were tested. A random sample of 30 nursing students was selected for retesting after two weeks.Results:A total of 10 female experts were consulted through correspondence. The Pain Care Competency Evaluation Questionnaire for nursing students consists of 36 items. Through exploratory factor analysis, five common factors were extracted: pain health education, comprehensive pain assessment, pain screening and assessment, analgesic interventions, and analgesic side effects nursing, which together explained 61.695% of the variance. The content validity of the questionnaire was 0.96, and the item-level content validity index ranged from 0.900 to 1.000. The overall Cronbach′s α coefficient was 0.924, and the Cronbach′s α coefficients for the five dimensions ranged from 0.856 to 0.915. The test-retest reliability was 0.831. Conclusions:The Pain Care Competency Evaluation Questionnaire for nursing students developed in this study has good reliability and validity. It can be used as a tool to assess nursing students′ competency in pain care and provides a reference for the design and optimization of pain care courses and clinical practice programs for nursing students in undergraduate institutions.

To research on area ossification ratio (AOR), a novel parameter for quantitatively assessing adolescent bone age by conventional ultrasonography, and evaluate the correlation between AOR and radiographic bone age.

To evaluate the correlation between ultrasound ossification ratio(OR) and exercise intensity among adolescents.