Awareness of HPV and HPV vaccine among college students in China.

Background: Cervical cancer is the fourth most common cancer among women, HPV vaccine can reduce the incidence of cervical cancer by approximately 70%. Sexual behavior is a direct risk factor for HPV infection, and sexually active college students, therefore, receive attention for HPV vaccination. This study aimed to investigate the awareness of HPV and its vaccine among college students in Zhengzhou, and to explore the factors influencing their awareness of HPV vaccine, to understand college students' willingness to receive the vaccine. The findings of this study will lay a foundation for cervical cancer prevention. Methods: Using a multistage random sampling method, 650 college students from four universities in Zhengzhou were selected. A self-administered questionnaire on the awareness of HPV and its vaccine, and willingness to receive HPV vaccination was carried out. Logistic regression was used to analyze the factors influencing students' awareness of the HPV vaccine. Results: 58.0% of college students had heard of HPV, and 72.8% of college students had heard of HPV vaccine. Logistic regression showed that gender, major, grade, mean monthly consumption level, sexual history, and mother cervical cancer screening participation significantly influenced the awareness of HPV vaccine (p < 0.05). Only 27(4.2%) college students had received the HPV vaccine. 63.2% of college students expressed their willingness to get vaccinated. Conclusion: The awareness of HPV and its vaccine among college students in Zhengzhou needs improvement. Although the vaccination rate is low, most college students are willing to be vaccinated. Diverse health education programs should be conducted for different groups to improve awareness of cervical cancer prevention and promote vaccination.

Junctophilin-2 is a double-stranded RNA-binding protein that regulates cardiomyocyte-autonomous innate immune response.

Junctophilin-2 (JPH2) is traditionally recognized as a cardiomyocyte-enriched structural protein that anchors the junction between the plasma membrane and the endo/sarcoplasmic reticulum, facilitating excitation-induced cardiac contraction. In this study, we uncover a novel function of JPH2 as a double-stranded RNA (dsRNA)-binding protein, which forms complexes with dsRNA both in vitro and in cells. Stimulation by cytosolic dsRNA enhances the interaction of JPH2 with the dsRNA sensor MDA5. Notably, JPH2 inhibits MDA5's binding to its dsRNA ligand, likely by sequestering the dsRNA. Silencing JPH2 in cardiomyocytes increased the interaction between MDA5 and its dsRNA ligands, activated the MAVS/TBK1 signaling, and triggered spontaneous interferon-beta (IFNb1) production in the absence of foreign pathogen. Mouse hearts deficient in JPH2 exhibited upregulation of innate immune signaling cascade. Collectively, these findings identify JPH2 as a regulator of dsRNA sensing and highlight its role in suppressing the automatic activation of innate immune responses in cardiomyocytes, suggesting the cytosolic surface of the endo/sarcoplasmic reticulum as a hub for dsRNA sequestration.

Cancer-associated SF3B1-K700E mutation controls immune responses by regulating Treg function via aberrant Anapc13 splicing.

Recurrent somatic mutations in spliceosome factor 3b subunit 1 (SF3B1) are identified in hematopoietic malignancies, with SF3B1-K700E being the most common one. Here, we show that regulatory T cell (Treg)-specific expression of SF3B1-K700E (Sf3b1K700Efl/+/Foxp3YFP-Cre) results in spontaneous autoimmune phenotypes. CD4+ T cells from Sf3b1K700Efl/+/Foxp3YFP-Cre mice display defective Treg differentiation and inhibitory function, which is demonstrated by failed prevention of adoptive transfer colitis by Sf3b1K700Efl/+/Foxp3YFP-Cre Tregs. Mechanically, SF3B1-K700E induces an aberrant splicing event that results in reduced expression of a cell proliferation regulator Anapc13 due to the insertion of a 231-base pair DNA fragment to the 5' untranslated region. Forced expression of the Anapc13 gene restores the differentiation and ability of Sf3b1K700Efl/+/Foxp3YFP-Cre Tregs to prevent adoptive transfer colitis. In addition, acute myeloid leukemia grows faster in aged, but not young, Sf3b1K700Efl/+/Foxp3YFP-Cre mice compared to Foxp3YFP-Cre mice. Our results highlight the impact of cancer-associated SF3B1 mutation on immune responses, which affect cancer development.

Does financialization inhibit enterprise innovation? Analysis of innovation behavior of Chinese enterprises based on evolutionary game.

Enterprise innovation remains a cornerstone of economic development, with the direct influence of financialization on enterprise innovation standing as a critical factor. In contrast with the existing research, this study constructs an evolutionary game model by utilizing the Cournot model to analyze the innovation behavior of enterprises, and analyzes the influence of financialization on enterprise innovation by incorporating investment returns, market competition, and demand scale into the research framework. In addition, this study selects the sample of the Chinese non-financial listed enterprises and using panel data for the period 2009 to 2021. Based on the findings from the empirical analysis, this study reveals that excessive financialization hinders innovation in Chinese enterprises. Additionally, an intermediary pathway involving 'financialization - investment returns - enterprise innovation' is identified as a transmission mechanism. The demand scale generated by innovation inversely correlates with the inhibitory effects of financialization on enterprise innovation behavior. Meanwhile, heightened market competition amplifies the inhibitory influence of financialization on innovation. This study provided valuable empirical evidence, facilitating the enhancement of enterprise innovation efficiency.

Impact of professional identity on learner well-being of undergraduate nursing students of "double tops" universities: Mediating effect of self-regulated learning.

OBJECTIVES: The pressure of internal competition at the college level has increased in recent years in China with an impact on nursing students' learning and well-being. This study aimed to investigate the current situation and factors affecting professional identity, learner well-being and self-regulated learning of undergraduate nursing students in the Neijuan ecology of the "double tops" universities, and to explore the relationships between these three variables. METHODS: A cross-sectional design was adopted to conduct an online survey of 322 Chinese undergraduate nursing students from seven "double tops" universities. The survey included socio-demographics characteristics, students' professional identity, learner well-being, and self-regulated learning. RESULTS: Results of Pearson correlation analysis showed that professional identity was significantly and positively correlated with learner well-being (R = 0.795, p < 0.001); professional identity was significantly and positively correlated with self-regulated learning (R = 0.843, p < 0.001); and, self-regulated learning was significantly and positively correlated with learner well-being (R = 0.852, p < 0.001). After mediation effect testing, self-regulated learning had a mediating effect between professional identity and learner well-being (95 % CI 0.366-0.548, p < 0.001). Professional identity had a positive predictive effect on self-regulated learning (a = 0.570, p < 0.001), and self-regulated learning also had a positive predictive effect on learner well-being (b = 0.798, p < 0.001). The direct effect of professional identity on learner well-being (0.225) and its mediating effect (0.455) account for 33.1 % and 66.9 % of the total effect (0.680), respectively. CONCLUSIONS: The learner well-being of undergraduate Chinese nursing students is in the middle to upper range, and it is crucial to enhance professional identity and develop students' self-regulated learning to improve their learner well-being. This study provides empirical evidence to support the mediating effect of self-regulated learning on the relationship between professional identity and learner well-being among undergraduate nursing students in "double tops" universities. Universities are expected to strengthen career planning guidance and professional competence training for students as early as possible in order to develop quality nursing education programs that produce graduates who enter and remain in the workforce.

Multicenter radio-multiomic analysis for predicting breast cancer outcome and unravelling imaging-biological connection.

Radiomics offers a noninvasive avenue for predicting clinicopathological factors. However, thorough investigations into a robust breast cancer outcome-predicting model and its biological significance remain limited. This study develops a robust radiomic model for prognosis prediction, and further excavates its biological foundation and transferring prediction performance. We retrospectively collected preoperative dynamic contrast-enhanced MRI data from three distinct breast cancer patient cohorts. In FUSCC cohort (n = 466), Lasso was used to select features correlated with patient prognosis and multivariate Cox regression was utilized to integrate these features and build the radiomic risk model, while multiomic analysis was conducted to investigate the model's biological implications. DUKE cohort (n = 619) and I-SPY1 cohort (n = 128) were used to test the performance of the radiomic signature in outcome prediction. A thirteen-feature radiomic signature was identified in the FUSCC cohort training set and validated in the FUSCC cohort testing set, DUKE cohort and I-SPY1 cohort for predicting relapse-free survival (RFS) and overall survival (OS) (RFS: p = 0.013, p = 0.024 and p = 0.035; OS: p = 0.036, p = 0.005 and p = 0.027 in the three cohorts). Multiomic analysis uncovered metabolic dysregulation underlying the radiomic signature (ATP metabolic process: NES = 1.84, p-adjust = 0.02; cholesterol biosynthesis: NES = 1.79, p-adjust = 0.01). Regarding the therapeutic implications, the radiomic signature exhibited value when combining clinical factors for predicting the pathological complete response to neoadjuvant chemotherapy (DUKE cohort, AUC = 0.72; I-SPY1 cohort, AUC = 0.73). In conclusion, our study identified a breast cancer outcome-predicting radiomic signature in a multicenter radio-multiomic study, along with its correlations with multiomic features in prognostic risk assessment, laying the groundwork for future prospective clinical trials in personalized risk stratification and precision therapy.

Time preference shifts in medical decision-making after serious illness.

This study explores the impact of serious illnesses, such as cancer, on patients' time preferences in medical decision-making. Specifically, we assess how patients value extending their lifespan by one year under varying survival prognoses through three experimental studies. The findings reveal that patients exhibit a higher Subjective Discount Rates (SDR) in their medical decisions after a serious illness diagnosis. Notably, this difference in individual health also affects the time preferences of their family members. Additionally, the subjective contextual setting of the illness can also increase an individual's SDR levels. The research highlights a tendency for patients and families facing a potential short life expectancy to focus more on immediate concerns, leading to potentially shortsighted and irrational medical choices. This behavior often results in regret during the end-of-life stage. These insights are vital for healthcare professionals in optimizing treatment plans and for policymakers in understanding patient behaviors more comprehensively. The study emphasizes the need for considering psychological and behavioral changes in patients grappling with severe health challenges.

Lignin hydrogel sensor with anti-dehydration, anti-freezing, and reproducible adhesion prepared based on the room-temperature induction of zinc chloride-lignin redox system.

In recent years, flexible sensors constructed mainly from hydrogels have received increasing attention. However, conventional hydrogels need to be prepared by high-temperature or radiation-induced polymerization reactions, which limits their practical applications due to their suboptimal electrical conductivity and weak mechanical properties. In this paper, using sodium lignosulfonate as the raw material, a dynamic catechol-quinone redox system formed by lignin­zinc ions was constructed to initiate rapid free radical polymerization of acrylamide (AM) monomer at room temperature. In addition, Deep eutectic solvent (DES) can form a strong hydrogen bonding network within the molecules and between the molecules of the hydrogel, resulting in a hydrogel with good tensile properties (hydrogel elongation at break of 727.19 %, breaking strength of 84.09 kPa), and provides the hydrogel with high electrical conductivity, anti-dehydration, anti-freezing, and anti-bacterial properties. Meanwhile, the addition of lignin also improved the adhesion and UV resistance of the hydrogel. This hydrogel assembled into a flexible sensor can sense various small and large amplitude movements such as nodding, smiling, frowning, etc., and has a wide range of applications in flexible sensors.

Efficient and Accurate Semi-automatic Neuron Tracing with Extended Reality.

Neuron tracing, alternately referred to as neuron reconstruction, is the procedure for extracting the digital representation of the three-dimensional neuronal morphology from stacks of microscopic images. Achieving accurate neuron tracing is critical for profiling the neuroanatomical structure at single-cell level and analyzing the neuronal circuits and projections at whole-brain scale. However, the process often demands substantial human involvement and represents a nontrivial task. Conventional solutions towards neuron tracing often contend with challenges such as non-intuitive user interactions, suboptimal data generation throughput, and ambiguous visualization. In this paper, we introduce a novel method that leverages the power of extended reality (XR) for intuitive and progressive semi-automatic neuron tracing in real time. In our method, we have defined a set of interactors for controllable and efficient interactions for neuron tracing in an immersive environment. We have also developed a GPU-accelerated automatic tracing algorithm that can generate updated neuron reconstruction in real time. In addition, we have built a visualizer for fast and improved visual experience, particularly when working with both volumetric images and 3D objects. Our method has been successfully implemented with one virtual reality (VR) headset and one augmented reality (AR) headset with satisfying results achieved. We also conducted two user studies and proved the effectiveness of the interactors and the efficiency of our method in comparison with other approaches for neuron tracing.

Toll-Like Receptor 2 Deficiency Exacerbates Dextran Sodium Sulfate-Induced Intestinal Injury through Marinifilaceae-Dependent Attenuation of Cell Cycle Signaling.

BACKGROUND: Ulcerative colitis (UC) is an intestinal disorder marked by chronic, recurring inflammation, yet its underlying mechanisms have not been fully elucidated. METHODS: The current research dealt with examining the biological impacts of toll-like receptor 2 (TLR2) on dextran sulfate sodium (DSS)-triggered inflammation in the intestines of wild-type (WT) and TLR2-knockout (TLR2-KO) colitis mouse models. To elucidate the protective function of TLR2 in DSS-triggered colitis, RNA-sequencing (RNA-Seq) was carried out to compare the global gene expression data in the gut of WT and TLR2-KO mice. Further, 16S rRNA gene sequencing revealed notable variations in gut microbiota composition between WT and TLR2-KO colitis mice. RESULTS: It was revealed that TLR2-KO mice exhibited increased susceptibility to DSS-triggered colitis. RNA-Seq results demonstrated that cell cycle pathway-related genes were notably downregulated in TLR2-KO colitis mice (enrichment score = 30, p < 0.001). 16S rRNA gene sequencing revealed that in comparison to the WT colitis mice, the relative abundance of Marinifilacea (p = 0.006), Rikenellacea (p = 0.005), Desulfovibrionaceae (p = 0.045), Tannerellaceae (p = 0.038), Ruminococcaceae (p = 0.003), Clostridia (p = 0.027), and Mycoplasmataceae (p = 0.0009) was significantly increased at the family level in the gut of TLR2-KO colitis mice. In addition, microbiome diversity-transcriptome collaboration analysis highlighted that the relative abundance of Marinifilaceae was negatively linked to the expression of cell cycle signaling-related genes (p values were all less than 0.001). CONCLUSION: Based on these findings, we concluded that TLR2-KO exacerbates DSS-triggered intestinal injury by mitigating cell cycle signaling in a Marinifilaceae-dependent manner.