Breast cancer is one of the most common malignant tumors among women worldwide, with an increasing incidence rate year by year, making it a significant public health concern. With the continuous advancement of tumor biology research, N 6-methyladenosine (m 6A) modification, as an important form of RNA modification, has attracted growing attention. The m 6A modification, the most prevalent RNA modification in eukaryotes, occurs in almost all types of RNA and plays a critical role in the occurrence, progression, and metastasis of breast cancer. It influences cell proliferation, apoptosis, and alterations in the tumor microenvironment, though the specific mechanisms underlying these effects require further in-depth investigation. Moreover, the specific patterns of m 6A modification demonstrate its potential as a novel biomarker for breast cancer, which could provide new directions for early diagnosis and prognosis evaluation.

Sustained inflammatory responses are closely related to various severe diseases,and inhibiting the excessive activation of inflammasomes and pyroptosis has significant implications for clinical treatment.Natural products have garnered considerable concern for the treatment of inflammation.Huanglian-Wumei decoction(HLWMD)is a classic prescription used for treating inflammatory diseases,but the necessity of their combination and the exact underlying anti-inflammatory mechanism have not yet been elucidated.Inspired by the supramolecular self-assembly strategy and natural drug compatibility theory,we successfully obtained berberine(BBR)-chlorogenic acid(CGA)supramolecular(BCS),which is an herbal pair from HLWMD.Using a series of characterization methods,we confirmed the self-assembly mechanism of BCS.BBR and CGA were self-assembled and stacked into amphiphilic spherical supra-molecules in a 2:1 molar ratio,driven by electrostatic interactions,hydrophobic interactions,and π-πstacking;the hydrophilic fragments of CGA were outside,and the hydrophobic fragments of BBR were inside.This stacking pattern significantly improved the anti-inflammatory performance of BCS compared with that of single free molecules.Compared with free molecules,BCS significantly attenuated the release of multiple inflammatory mediators and lipopolysaccharide(LPS)-induced pyroptosis.Its anti-inflammatory mechanism is closely related to the inhibition of intracellular nuclear factor-kappaB(NF-κB)p65 phosphorylation and the noncanonical pyroptosis signalling pathway mediated by caspase-11.

Objective:To discuss the pay equity of operating room nurses in public hospitals and provide reference for promoting the salary performance reform of operating rooms.Methods:Using purposive sampling method, 22 cases of operating room nurses from 8 public hospitals in Sichuan Province were selected for semi-structured in-depth interviews from December 2023 to May 2024, and the themes were summarized and distilled by Colaizzi phenomenological data analysis.Results:Twenty-two operationg room nurses were interviewed, 6 males and 16 females with 25-55 years old. The sense of pay equity of operating room nurses was refined into 3 themes and 8 subthemes: ① sense of distributional equity: different representative groups have different views on the basic salary of the position, demand attention to the difference between different subspecialty surgeries, explicit the value embodiment of professional ability, and support for learning and growth; ②sense of procedural equity: the pay policy reflects the interests of the majority of the nurses, and the right to have a say in and ask questions about the pay policy; ③sense of interactive equity: explain the rationale for the pay policy information, focusing on nurses′feelings and perceptions.Conclusions:The sense of fairness of nurses in the operating rooms of public hospitals is expressed in the results of the distribution of subspecialty surgical work, the process of salary decision-making, and the sense of fairness in the interaction between supervisors and subordinates. Nursing managers should pay attention to the reasonable distribution of the pay-earnings ratio of the salaries of nurses in the operating rooms, safeguard the rights of nurses in the process of salary distribution, and pay attention to the sense of the operating room nurses in the implementation of the process or in deciding the results in order to enhance their fairness psychology.

Objective:To conduct a scoping review of risk prediction models for the development of intraoperative hypothermia in patients undergoing cancer surgery to inform clinical nursing practice and future research.Methods:Relevant literature on constructing or validating intraoperative hypothermia risk prediction models for cancer surgery patients in five foreign language databases (PubMed, Embase, Web of Science, Cochrane Library, CINAHL) and four Chinese language databases (China National Knowledge Infrastructure, Wanfang, VIP, Chinese Biomedical Database) were searched from the time of library construction to June 1, 2024, extracted information on the applicable target, incidence of intraoperative hypothermia, methodology of model construction, predictors and performance, etc. The Prediction model Risk Of Bias Assessment Tool was used to evaluate the risk of bias of the studies, and the included literature was analyzed and discussed.Results:A total of 15 pieces of literature involving 18 models were included, with the study population focussing on patients undergoing surgery for colorectal cancer. The rate of intraoperative hypothermia ranged from 15.14% to 61.5%. Model construction methods included 2 types of Logistic regression models and machine learning, and model presentation was based on column-line plots. There were 8 predictors that appeared with a frequency of ≥5, including age, body mass index, operation time, anaesthesia time, operating room temperature, intraoperative rehydration volume, intraoperative bleeding volume, and heat preservation method.Conclusions:The performance of the included model was good, but the risk of bias was high for the predictors and the analysis part, and nursing staff should pay close attention to the risk factors of intraoperative hypothermia in patients undergoing cancer surgery, construct a risk prediction model with low bias and high applicability, and validate and improve the existing risk prediction model.

Head and neck squamous cell carcinoma(HNSCC)is a highly prevalent malignancy with poor prognosis.Treatment strategies to date have achieved limited success in significantly improving overall survival rates.γδ T cells,a unique subset of immune cells in the tumor microenvironment,can link adaptive and innate immune functions.While γδ T cells can effectively recognize and eliminate HNSCC tumor cells,certain subsets of these cells can secrete interleukin-17,contributing to tumor progression.Nevertheless,due to their remarkable cyto-toxic activity,γδ T cells have been identified as promising candidates for antitumor immunotherapy.This article reviews the biological back-ground of γδ T cells,their role in tumor immunity in HNSCC,and recent advances in γδ T cell immunotherapy,aiming to provide new in-sights into HNSCC diagnosis and treatment.

Objective:To construct a questionnaire to measure parents′ behavioral and social drivers (BeSD) in administering rotavirus vaccine to their children, and to test the reliability and validity of the questionnaire.Methods:A questionnaire was constructed to investigate the BeSD of rotavirus vaccination among parents based on the WHO BeSD questionnaire. A survey was conducted among parents of children aged 0-3 years old in vaccination clinics from 15 community health service centers in Nanjing City of Jiangsu Province, Yuhuan and Kaihua Counties of Zhejiang Province, Anqing City of Anhui Province, and Yangpu District of Shanghai City from April to May in 2024. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to analyze the reliability (internal consistency reliability, combination reliability and split half reliability) and validity (structural validity, convergence validity and discriminative validity) of the questionnaire.Results:A total of 850 questionnaires were collected, of which 614 were valid, with an effective response rate of 72.20%. The EFA resulted in the refinement of the rotavirus vaccine BeSD questionnaire from 37 to 35 items (including 24 core items), and suggested a five-factor structure including the perceptions of vaccine, confidence in vaccine, social process of vaccination, motivation for vaccination, and practical problems of vaccination. The cumulative variance contribution rate reached 56.27%. The CFA confirmed an ideal five-factor model fit (GFI=0.82,CFI=0.86,PNFI=0.67,RMSEA=0.07). The AVE of each dimension was greater than 0.50. The AVE square root of each dimension of the questionnaire was greater than its correlation coefficient. The Cronbach′s α coefficient of the total questionnaire was 0.79.Conclusion:The developed BeSD questionnaire of rotavirus vaccine has good reliability and validity, and can be used to measure parents′ behavioral and social factors in administering rotavirus vaccine to their children.

Objective:To evaluate the efficacy of corticosteroids in male children with Duchenne muscular dystrophy (DMD), and provide evidence for the rational clinical use of medication.Methods:This was a multicenter medical record series study which conducted from January 15 th to March 14 th, 2025. A total of 53 male children with DMD admitted to the Department of Rehabilitation of Children′s Hospital, Zhejiang University School of Medicine, Children′s Hospital of Chongqing Medical University and Affiliated Children′s Hospital of Soochow University from 2020 to 2024 were enrolled. Clinical data, corticosteroid usage, and the follow-up data were collected. The North star ambulatory assessment (NSAA) was used as the primary efficacy indicator. Generalized estimating equations (GEE) exchangeable working matrices were used for longitudinal analysis, and the least squares mean were used to compare the change trend of the efficacy evaluation index across different medication durations. Results:The age at the initiation of corticosteroid treatment was (6.3±1.9) years. The follow-up duration was 1.2 (0.9, 2.2) years. After treatment, the raw scores and linear scores of NSAA were both significantly higher than those before treatment ((22±7) vs. (19±5) points, (60±16) vs. (53±8) points; t=3.98, 3.69; both P<0.001). The 10 meter running time and time rising from floor were both shorter than those before treatment (6 (4, 8) vs. 7 (6, 9) s, 5 (3, 6) vs. 6 (5, 9) s; Z=2.62, 3.47; both P<0.01). GEE model analysis revealed all nonlinear correlation between motor function (NSAA linear score, 10-meter running velocity, and rising from floor velocity) and the duration of corticosteroid treatment (all P<0.05). Least squares mean comparison all showed that the medication effect first increased and then decreased with duration, reaching the peak at 1.1-2.0 years after treatment (all P<0.05). Conclusions:Corticosteroids can improve the motor function in male children with DMD, with the maximum treatment effect occurring 1 to 2 years after the initiation of treatment. It is necessary to comprehensively leverage time-varying efficacy of corticosteroids to optimize individualized treatment regimens for maximal motor function benefits in children with DMD.

Objective To construct a mammography image classification assistant system suitable for Chinese population,and explore the potential of artificial intelligence technology to assist early screening of breast cancer in China.Methods Curated breast imaging subset of digital database for screening mammography(CBIS-DDSM),Mammographic image analysis society database(MIAS)and other international open datasets were used to conduct model training respectively in order to reproduce the mainstream in-depth learning methods in the current literature.The model was also tested on the Chinese breast mammography database(CBMD)provided by Huajiao Technology Co.,Ltd,and the performance was compared.Aiming at the problem that the Chinese population data are not ideal in the performance test of the open dataset training model,an optimization strategy based on the sliding window adjustment mechanism was implemented in combination with the characteristics of Chinese population data.Then a two-stage migration learning method was designed to improve the overall performance of the model,and then development of our system was carried out.Results With the sliding window adjustment mechanism and the CBMD training model after two-stage transfer learning,the accuracy of our developed system was improved from 0.50 of the open datasets to 0.80,precision from 0.54 to 0.82,sensitivity from 0.52 to 0.80,F1 value from 0.52 to 0.80,and AUC value from 0.51 to 0.89 based on the Chinese population dataset as the test set.Conclusion Through the introduction of sliding window adjustment mechanism and two-stage migration learning strategy,the performance of the breast molybdenum target image classification model has been significantly improved in the Chinese population dataset,and our system primarily achieves the purpose of assisting the classification of breast molybdenum target images for the Chinese population.

Acute lung injury (ALI) has been a kind of acute and severe disease that is mainly characterized by systemic uncontrolled inflammatory response to the production of huge amounts of reactive oxygen species (ROS) in the lung tissue. Given the critical role of ROS in ALI, a Fe₃O₄ loaded bovine serum albumin (BSA) nanocluster (BF) was developed to act as a nanomedicine for the treatment of ALI. Combining with NIR irradiation, it exhibited excellent ROS scavenging capacity. Significantly, it also displayed the excellent antioxidant and anti-inflammatory functions for lipopolysaccharides (LPS) induced macrophages (RAW264.7), and Sprague Dawley rats via lowering intracellular ROS levels, reducing inflammatory factors expression levels, inducing macrophage M2 polarization, inhibiting NF-κB signaling pathway, increasing CD4⁺/CD8⁺ T cell ratios, as well as upregulating HSP70 and CD31 expression levels to reprogram redox homeostasis, reduce systemic inflammation, activate immunoregulation, and accelerate lung tissue repair, finally achieving the synergistic enhancement of ALI immunotherapy. It finally provides an effective therapeutic strategy of BF + NIR for the management of inflammation related diseases.

Protein liquid-liquid phase separation (LLPS), a pivotal phenomenon intricately linked to cellular processes, is regulated by various other proteins. However, there is still a lack of high-throughput methods for screening protein regulators of LLPS in target proteins. Here, we developed a CRISPR/Cas9-based screening method to identify protein phase separation regulators by integrating bimolecular fluorescence complementation (BiFC) and fluorescence-activated cell sorting (FACS). Using this newly developed method, we screened the RNA-binding proteins that regulate PABPN1 phase separation and identified the tumor suppressor QKI as a promoter of PABPN1 phase separation. Furthermore, QKI exhibits decreased expression levels and diminished nuclear localization in colorectal cancer cells, resulting in reduced PABPN1 phase separation, which, in turn, promotes alternative polyadenylation (APA), cell proliferation, and migration in colorectal cancer.
Humans ; Colorectal Neoplasms/genetics* ; RNA-Binding Proteins/genetics* ; Poly(A)-Binding Protein I/genetics* ; CRISPR-Cas Systems ; Flow Cytometry ; Cell Proliferation ; Cell Line, Tumor ; Cell Movement