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Abstract Background Iron is an essential element for thyroid function. However, no study focuses on the association between iron and thyroid in individuals with obesity. Our research aimed to investigate the iron status in relation to baseline thyroid hormone levels and after laparoscopic sleeve gastrectomy (LSG). Methods A total of 216 subjects with obesity were enrolled and divided into low and high iron groups depending on the median value. The association between iron and thyroid hormone was analyzed and compared before and after LSG at the 6-month follow-up in patients who underwent LSG. Results 1) In all, Total Triiodothyronine (TT3) was significantly higher in high iron than low iron group (P = 0.008). TT3 and thyroid stimulating hormone (TSH) were significantly higher in high iron than low iron group (1.92 ± 0.61 vs. 1.69 ± 0.28 nmol/l, P = 0.029; 2.93 ± 1.66 vs. 1.88 ± 1.03 mU/l, P = 0.002) in females while not in males (all P > 0.05). 2) Iron was significantly positively associated with free triiodothyronine (FT3), free thyroxine (FT4), TT3 and TSH (all P

Abstract Background Nursing shortage is a global issue. Turnover intention and life satisfaction are significant predictors of turnover. The specific nature of nursing and stressful work schedules lead to impaired professional quality of life (ProQOL), and existing studies have confirmed the effect of a dimension of ProQOL (such as secondary trauma stress, burnout and compassion satisfaction) on turnover intention and life satisfaction. Yet the heterogeneity of ProQOL across individuals is not known. A lack of research on the relationship between potential ProQOL subgroups and turnover intention and life satisfaction, and the mechanisms underlying this relationship remain understudied. The study aimed to determine different ProQOL profiles, and their cross-sectional and longitudinal effects on turnover intention and life satisfaction, while exploring the mediating roles of job satisfaction and work engagement within the relationship. Methods Data were collected at a tertiary hospital in a northeastern province of China. An online questionnaire was administered twice over the course of six months. 1832 and 900 participates provided cross-sectional and longitudinal data respectively. We used latent profile analysis (LPA) and K-means clustering to identify ProQOL profiles, and used the PROCESS macro program to conduct mediation analysis. Results The LPA results supported a 4-profile solution, including balanced protection, good quality, traumatic satisfaction and burnout problem. ProQOL profiles directly predicted nurses’ current and subsequent turnover intention and life satisfaction. In addition, job satisfaction and work engagement mediated the effects of ProQOL profiles on turnover intention and life satisfaction in cross-sectional sample, and mediated the effects of ProQOL profiles on turnover intention in longitudinal sample. Conclusion The findings suggest that nurses’ ProQOL has distinct categorical characteristics and is strongly associated with turnover intention and life satisfaction. Hospital administrators should implement individualized, join management and interventions according to each profile. Furthermore, more attentions should focus on improving nurses’ job satisfaction and work engagement levels to promote good work and life outcomes.

Abstract CD36, also known as glycoprotein IV, is classified into two distinct subgroups based on the presence or absence of its expression on monocytes. The CD36 gene spans approximately 50,000 base pairs. Historically, research has focused on identifying CD36 mutations through Sanger sequencing and next-generation sequencing (NGS), with limited exploration of haplotypes. In this study, we collected blood samples from donors with type I and type II CD36 deficiencies as well as from healthy controls, and employed single-molecule long-read sequencing (also known as Third-Generation Sequencing) of genomic DNA to analyze the genetic basis of CD36. The study identified 180 genetic variants, 12 of which were found to alter the amino acid sequence. Notably, four of these mutations (c.220 C > T; c.329_330delAC; c.430-1 G > C; c.1006 + 2 T > G) are premature termination mutations that lead to protein truncation. Using Fisher’s exact test, we statistically analyzed a specific haplotype, c.-132A > C and c.329_330delAC, along with their clinical phenotypes, revealing a strong association between these variants in the 5’ block and type I CD36 deficiency. We analyzed the CD36 gene sequences in platelet donors and patients with PTR (platelet transfusion refractoriness) and FNAIT (fetal and neonatal alloimmune thrombocytopenia), conducting a detailed haplotype analysis associated with type I CD36 deficiency and FNAIT.

Abstract There is an urgent need to identify predictive biomarkers of Parkinson’s disease (PD) with cognitive impairment (PDCI) in order to individualize patient management, ensure timely intervention, and improve prognosis. The aim of this study was to screen for these biomarkers by comparing the plasma proteome and metabolome of PD patients with or without cognitive impairment. Proteomics and metabolomics analyses were performed on a discover cohort. A machine learning model was used to identify candidate protein and metabolite biomarkers of PDCI, which were validated in an independent cohort. The predictive ability of these biomarkers for PDCI was evaluated by plotting receiver operating characteristic curves and calculating the area under the curve (AUC). Moreover, we assessed the predictive ability of these proteins in combination with neuroimaging. In the discover cohort (n = 100), we identified 25 protein features with best results in the machine learning model, including top-ranked PSAP and H3C15. The two-proteins were used for model construction, achieving an Area under the curve (AUC) of 0.951 in the train set and AUC of 0.981 in the test set. Similarly, the model gives a rank list of endogenous metabolite features, Glycocholic Acid and 6-Methylnicotinamide were two top features. Combining these two markers further got the AUC of 0.969 in train set and 0.867 in the test set. To validate the performance of the protein biomarkers, we performed targeted analysis of selected proteins (H3C15 and PSAP) and proteins likely associated with PDCI (NCAM2 and LAMB2) using parallel reaction monitoring in validation cohort (n = 116). The AUC of the classifier built with H3C15 and PSAP is 0.813. Moreover, when combining H3C15, PSAP, NCAM2, and LAMB2, the model achieved AUC of 0.983 in the train set, AUC of 0.981 in the test set, and AUC of 0.839 in the validation set. Furthermore, we verified that these protein markers we discovered can improve the predictive effect of neuroimaging on PDCI: the classifier built with neuroimaging features had AUC of 0.833, which improved to 0.905 when combined with H3C15. Taken together, our integrated proteomics and metabolomics analysis successfully identified potential biomarkers for PDCI. Additionally, H3C15 showed promise in enhancing the predictive performance of neuroimaging for cognitive impairment.

Abstract The sugar and organic acid content significantly impacts the flavor quality of star fruit, and it undergoes dynamic changes during development. However, the metabolic network and molecular mechanisms governing the formation of sugar and organic acid in star fruit remain unclear. In this study, 23 of 743 components were detected by metabonomic analysis. The highest metabolites contents were organic acids and derivatives. The highest sugar content in the fruit was fructose and glucose, followed by sucrose, which proved that A. carambola is a hexose accumulation type fruit. Genome identification preliminarily screened 141 genes related to glucose metabolism and 67 genes related to acid metabolism. A total of 7,881 unigenes were found in transcriptome data, 6,124 differentially expressed genes were screened, with more up-regulated than down-regulated genes. Transcriptome and metabolome association analysis screened seven core candidate genes related to glucose metabolism and 17 core genes highly related to organic acid pathway, and eight differentially expressed sugar and acid genes were selected for qRT-PCR verification. In addition, 29 bHLHs and eight bZIPs transcription factors were predicted in the glucose metabolism pathway, and 23 MYBs, nine C2H2s transcription factors and one GRAS transcription factor was predicted in the acid metabolism pathway, and transcription factors have both positive and negative regulatory effects on sugar and acid structure genes. This study increased our understanding of A. carambola fruit flavor and provided basic information for further exploring the ornamental and edible values of star fruit.

This paper presents an analysis of the concept of patient outcomes.

Abstract Aim To explore the prevalence of turnover intentions among emergency nurses across the globe, decision-makers should be offered evidence-based assistance. Background and introduction Compared with those of general nurses, the unique work environment and pressure significantly impact emergency nurses’ turnover intention. High personnel turnover intention often hinders the provision of high-quality emergency services. Methods This study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Published and unpublished papers were identified through electronic searches of PubMed, Web of Science, EMBASE, CINAHL, and the Cochrane Library from their establishment until February 1, 2023. The literature included in this study may encompass cross-sectional studies and longitudinal studies. Two researchers independently screened the literature, extracted data, and assessed the quality of the included studies while using the tool developed by Hoy and colleagues in 2012. Stata 17.0 was used for all the statistical analyses. Results This study included 12 articles by screening 744 articles, which included a total of 4400 nurses. All studies included in the analysis were cross-sectional. The overall prevalence of turnover intention among emergency nurses was 45%. Further analysis revealed that the turnover intention prevalence among emergency nurses in Asia was 54%, whereas in other regions, it was 38%. The turnover intention among younger nurses (61%) was significantly greater than that among older nurses (30%). Compared with the published scale, the self-developed scale resulted in a higher turnover intention rate of 52%, which was 41%. Conclusion The prevalence of emergency nurses’ turnover intention is relatively high and shows an increasing trend, with noticeable variations across different regions and age groups. Notably, Asian nurses and those younger than 35.6 years exhibit a greater intention to turnover. Patient or public contribution There is no patient or public involvement, as this article is a meta-analysis. Implications for nursing and health policy Nursing managers, administrators, and policymakers must recognize the seriousness of high turnover intentions among emergency nurses and develop effective prevention strategies to address this issue globally.

Background and purpose: At present, there have been many reports on the study of methylation in cervical lesions, however it is still not clinically practical as a diagnostic and shunting index of cervical lesions. In this study, we intended to investigate the early diagnostic value of FAM19A4, PAX1 and miRNA124-2 methylation in promoter region in the progression of cervical lesions. Methods: A total of 129 liquid-based cytology specimens of different grades of cervical lesions diagnosed in the Third Affiliated Hospital of Zhengzhou University from Mar. 2020 to Mar. 2022. Methylation specific PCR (MSP) was used to detect the methylation changes of FAM19A4, PAX1 and miRNA124-2 genes in different cervical lesions. Receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value of methylation changes of the three genes in cervical lesions. This study was approved by the Ethics Committee of the Third Affiliated Hospital of Zhengzhou University (No. 2023-135-01). Results: All the specimens were collected and divided into 4 groups according to the histological results: 42 cases of no intraepithelial lesions or malignant lesions (NILM), 28 cases of low grade squamous intraepithelial lesion (LSIL), 36 cases of high grade squamous intraepithelial lesion (HSIL), 23 cases of squamous cervical cancer (SCC). With the increase in the level of cervical lesions, FAM19A4, PAX1 and miRNA124-2 gene methylation detection rates increased gradually, and the differences were statistically significant (P

Abstract In plants, the conserved plant-specific photoreceptor UV RESISTANCE LOCUS 8 (UVR8) perceives ultraviolet-B (UV-B) light and mediates UV-B-induced photomorphogenesis and stress acclimation. In this study, we reveal that UV-B light treatment shortens seedlings, increases stem thickness, and enhances UV-B stress tolerance in rice (Oryza sativa) via its two UV-B photoreceptors OsUVR8a and OsUVR8b. Although the rice and Arabidopsis (Arabidopsis thaliana) UVR8 (AtUVR8) photoreceptors all form monomers in response to UV-B light, OsUVR8a, and OsUVR8b function is only partially conserved with respect to AtUVR8 in UV-B-induced photomorphogenesis and stress acclimation. UV-B light and CONSTITUTIVELY PHOTOMORPHOGENIC 1 (COP1) promote the nuclear accumulation of AtUVR8; by contrast, OsUVR8a and OsUVR8b constitutively localize to the nucleus via their own nuclear localization signals, independently of UV-B light and the RING-finger mutation of OsCOP1. We show that OsCOP1 negatively regulates UV-B responses, and shows weak interaction with OsUVR8s, which is ascribed to the N terminus of OsCOP1, which is conserved in several monocots. Furthermore, transcriptome analysis demonstrates that UV-B-responsive gene expression differs globally between Arabidopsis and rice, illuminating the evolutionary divergence of UV-B light signaling pathways between monocot and dicot plants.

Abstract Background The zero-profile implant system (Zero-P) and conventional plates have been widely used in anterior cervical discectomy and fusion (ACDF) to treat cervical spondylosis. The purpose of this study was to compare the effects of the application of Zero-P and new conventional plates (ZEVO, Skyline) in ACDF on the sagittal imaging parameters of cervical spondylosis patients and to analyze their clinical efficacy. Methods We conducted a retrospective study on 119 cervical spondylosis patients from January 2018 to December 2021, comparing outcomes between those receiving the Zero-P device (n = 63) and those receiving a novel conventional plate (n = 56, including 46 ZEVO and 10 Skyline plates) through ACDF. Cervical sagittal alignment was assessed pre- and postoperatively via lateral radiographs. The Japanese Orthopedic Association (JOA), Neck Disability Index (NDI), and visual analog scale (VAS) scores were recorded at baseline, after surgery, and at the 2-year follow-up to evaluate patient recovery and intervention success. Results There were significant differences in the postoperative C0-C2 Cobb angle and postoperative sagittal segmental angle (SSA) between patients in the novel conventional plate group and those in the Zero-P group (P

Abstract Fundus neovascularization diseases are a series of blinding eye diseases that seriously impair vision worldwide. Currently, the means of treating these diseases in clinical practice are continuously evolving and have rapidly revolutionized treatment opinions. However, key issues such as inadequate treatment effectiveness, high rates of recurrence, and poor patient compliance still need to be urgently addressed. Multifunctional nanomedicine can specifically respond to both endogenous and exogenous microenvironments, effectively deliver drugs to specific targets and participate in activities such as biological imaging and the detection of small molecules. Nano-in-micro (NIM) delivery systems such as metal, metal oxide and up-conversion nanoparticles (NPs), quantum dots, and carbon materials, have shown certain advantages in overcoming the presence of physiological barriers within the eyeball and are widely used in the treatment of ophthalmic diseases. Few studies, however, have evaluated the efficacy of NIM delivery systems in treating fundus neovascular diseases (FNDs). The present study describes the main clinical treatment strategies and the adverse events associated with the treatment of FNDs with NIM delivery systems and summarizes the anatomical obstacles that must be overcome. In this review, we wish to highlight the principle of intraocular microenvironment normalization, aiming to provide a more rational approach for designing new NIM delivery systems to treat specific FNDs. Graphical Abstract

Coating modification is an important way to enhance the reactivity of aluminum powder. In this paper, ammonium perchlorate and aluminum powder were assembled into energetic microunits by liquid deposition method. Spherical particles with AP as shell and ultrafine aluminum powder as the core (Al@AP) were gained. The micromorphology results show that the coated particles are about 5 μm, and the coating layer is evenly distributed on the outer surface of aluminum powder, indicating a complete coating. The energetic microunits were implanted into the nitrate ester plasticizing adhesive system (NEPE) as solid phase fillers. The effect of filler on the rheological properties, safety, mechanical properties, thermal reaction and energy properties of the system was analyzed by comparing with the raw aluminum filler. The test results show that the rheological properties, mechanical properties and pressure index of NEPE containing system Al@AP meets the requirements of solid propellant charging. Compared with Al based propellant, the mechanical sensitivity and thermal sensitivity are decreased, the safety is better, and the explosion heat of the propellant is increased by 7.8%. The engine test shows that the specific impulse is increased by 1.2 s. Al@AP can improve the energy output and safety of NEPE propellant, and has potential application prospects in high-energy propellants.

Abstract Background Existing researches on nurses’ work engagement and job burnout have mostly stayed at the individual level, and limited researches test the cross-level effects of psychosocial safety climate (PSC). The study aimed to explore the cross-level mediating effect of organization-based self-esteem (OBSE) and the moderating effect of psychological detachment between the relationship of PSC and work engagement and job burnout in nurses. Methods The cross-sectional study was conducted during November to December 2022 at a tertiary hospital in a northeastern province of China. Data was collected from 1832 nurses through an online questionnaire. Correlation analyses and hierarchical linear modeling were used to test study hypotheses. Results The results showed that PSC was positively associated with work engagement, and negatively associated with job burnout. OBSE mediated the effect of PSC on work engagement, as well as job burnout. Additionally, psychological detachment played a moderating role between PSC and work engagement, but no moderating effect was found between PSC and job burnout. Conclusions PSC at the organizational level increases work engagement and reduces job burnout by stimulating nurses’ high levels of OBSE. Psychological detachment, as a situational factor, enhances the positive influence of PSC on work engagement. The implementation of measures to improve the PSC levels of the organization, and the levels of OBSE and psychological detachment among nurses could help to promote their good work performance.

Abstract Purpose In this study, the actor–partner interdependence mediation model (APIMeM) was applied to breast cancer patients and their caregivers to assess the factors that affect the fear of cancer recurrence. In particular, the purpose of this study was to evaluate the mediating effect of social support on financial toxicity and the fear of cancer recurrence, providing an effective basis for developing plans to reduce the level of fear of cancer recurrence. Methods This study employed a cross-sectional design, and 405 dyads of breast cancer patients and their caregivers were enrolled. Financial toxicity, social support, and fear of cancer recurrence were assessed by computing comprehensive scores for financial toxicity based on patient-reported outcome measures, the Social Support Rating Scale, and the Fear of Cancer Recurrence Inventory Short Form, respectively. The data were analysed using SPSS 24.0 and AMOS 23.0. Results The results showed that the fear of cancer recurrence of breast cancer patients and their caregivers was significantly related to dyadic financial toxicity and social support. In addition, the financial toxicity of breast cancer patients and their caregivers had significant actor effects and partner effects on the fear of cancer recurrence through dyadic social support. Conclusions The financial toxicity of breast cancer patients and their caregivers could produce actor and partner effects on the fear of cancer recurrence through the mediation of social support, which provided empirical support for improving reducing the level of fear of cancer recurrence among patients and caregivers at the dyadic level.

Abstract The widespread use of smartphones implies that intelligent systems must address the negative emotions experienced by a diverse user group when encountering usability difficulties. Therefore, exploring the relationship between users’ emotions and operational behaviors is crucial for further enhancing the accessibility of intelligent systems. Touch dynamics, as a method of dynamic touch data monitoring, has already provided many models for emotion recognition, which are beneficial in gaining insight into users’ accessibility needs for smartphones and exploring intelligent solutions to design issues. This paper validates this aspect through interviews and experimental studies. The study first conducted an open-ended interview, and then used a touch behavior experiment with emotional labels and a questionnaire to validate the association between accessibility design flaws in intelligent systems and user emotions. The interview results show that middle-aged and older smartphone users have difficulty activating accessibility tools independently. Consequently, this paper establishes a dataset for emotion classification based on touch gesture data, which is used to gain insight into implicit difficulties in the interaction process through negative emotions. From a touch experiment and questionnaire survey of 57 sample users, there is approximately a 78.57% match between the accessibility needs of intelligent systems and users’ negative emotions, with interaction fluency and interface cognition being the main reasons for this phenomenon. Therefore, touch dynamics, as a non-invasive method of emotion recognition, can use negative emotional feedback to gain insights into user needs that are difficult to detect by other methods. This has application value for enhancing users’ emotional experience and promoting a transformation in interaction design thinking.

Abstract Osteoporosis (OP) is a bone metabolism disease that is associated with inflammatory pathological mechanism. Nonetheless, rare studies have investigated the diagnostic effectiveness of immune-inflammation index in the male population. Therefore, it is interesting to achieve early diagnosis of OP in male population based on the inflammatory makers from blood routine examination. We developed a prediction model based on a training dataset of 826 Chinese male patients through a retrospective study, and the data was collected from January 2022 to May 2023. All participants underwent the dual-energy X-ray absorptiometry (DXEA) and blood routine examination. Inflammatory markers such as systemic immune-inflammation index (SII) and platelet-to-lymphocyte ratio (PLR) was calculated and recorded. We utilized the least absolute shrinkage and selection operator (LASSO) regression model to optimize feature selection. Multivariable logistic regression analysis was applied to construct a predicting model incorporating the feature selected in the LASSO model. This predictive model was displayed as a nomogram. Receiver operating characteristic (ROC) curve, C-index, calibration curve, and clinical decision curve analysis (DCA) to evaluate model performance. Internal validation was test by the bootstrapping method. This study was approved by the Ethic Committee of the First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine (Ethic No. JY2023012) and conducted in accordance with the relevant guidelines and regulations. The predictive factors included in the prediction model were age, BMI, cardiovascular diseases, cerebrovascular diseases, neuropathy, thyroid diseases, fracture history, SII, PLR, C-reactive protein (CRP). The model displayed well discrimination with a C-index of 0.822 (95% confidence interval: 0.798–0.846) and good calibration. Internal validation showed a high C-index value of 0.805. Decision curve analysis (DCA) showed that when the threshold probability was between 3 and 76%, the nomogram had a good clinical value. This nomogram can effectively predict the incidence of OP in male population based on SII and PLR, which would help clinicians rapidly and conveniently diagnose OP with men in the future.

Abstract Functional coatings, including organic and inorganic coatings, play a vital role in various industries by providing a protective layer and introducing unique functionalities. However, its design often involves time‐consuming experimentation with multiple materials and processing parameters. To overcome these limitations, data‐driven approaches are gaining traction in materials science. In this paper, recent advances in data‐driven materials research and development (R&D) for functional coatings, highlighting the importance, data sources, working processes, and applications of this paradigm are summarized. It is begun by discussing the challenges of traditional methods, then introduce typical data‐driven processes. It is demonstrated how data‐driven approaches enable the identification of correlations between input parameters and coating performance, thus allowing for efficient prediction and design. Furthermore, carefully selected case studies are presented across diverse industries that exemplify the effectiveness of data‐driven methods in accelerating the discovery of new functional coatings with tailored properties. Finally, the emerging research directions, involving integrating advanced techniques and data from different sources, are addressed. Overall, this review provides an overview of data‐driven materials R&D for functional coatings, shedding light on its potential and future developments.

Multi-drug resistance (MDR) poses a significant challenge to cancer treatment. Targeting ATP-binding cassette subfamily B member 1 (ABCB1) is a viable strategy for overcoming MDR. This study examined the preclinical in vitro and animal studies that used gilteritinib, a FLT3 inhibitor that reverses ABCB1-mediated MDR. At nontoxic levels, gilteritinib significantly increased the susceptibility of cancer cells overexpressing ABCB1 to chemotherapeutic drugs. Furthermore, it impaired the development of drug-resistant cell colonies and 3D spheroids. Studies on the reversal mechanism have shown that gilteritinib can directly bind to the drug-binding site of ABCB1, inhibiting drug efflux activity. Consequently, the substrate’s drug cytotoxicity increases in MDR cells. Furthermore, gilteritinib increased ATPase activity while leaving ABCB1 expression and subcellular distribution unchanged and inhibited AKT or ERK activation. Docking analysis indicated that Gilteritinib could interact with the drug-binding site of the ABCB1 transporter. In vivo studies have shown that gilteritinib improves the antitumor efficacy of paclitaxel in nude mice without obvious toxic effects. In conclusion, our preclinical investigations show that gilteritinib has the potential to successfully overcome ABCB1-mediated MDR in a clinical environment when combined with substrate medicines.

The migration behavior of nitrate ester-plasticized polyether (NEPE) propellant components significantly impacts safety. Experimentally observing the migration process is challenging and time-consuming. This study employed molecular dynamics (MD) methods to simulate a molecular model of the NEPE propellant/liner interface layer, enabling the prediction of component migration behavior. We visualized the migration process of all propellant components and studied the interface layer components' migration patterns, diffusion coefficients, and concentration gradient distributions. The contents of migrated components of the propellant and liner at different accelerated aging times at 70 °C were determined using high-performance liquid chromatography (HPLC), and the simulation patterns were compared with experimental observations. The results indicate that the migrated components in the propellant mainly consist of nitrate esters (Nitroglycerin, abbreviated as NG, and Butanetriol Trinitrate, abbreviated as BTTN), stabilizers (NMethylnitroaniline, abbreviated as MNA, and 2-Nitrodiphenylamine, abbreviated as 2-NDPA), and solid component (Hexahydro-1,3,5-trinitro-1,3,5-triazine, abbreviated as RDX). The migration process is primarily dominated by the substantial migration of nitrate esters, which is a key factor contributing to the degradation of propellant performance during storage. The migration process can be divided into three stages: swift migration, steady slow migration, and migration equilibrium. The diffusion coefficients are ranked from most significant to most minor as NG > BTTN > RDX > MNA > 2-NDPA. Three migration stages consistent with the simulation process were observed using HPLC, and the migration behavior of nitrate esters aligned with simulation patterns. Our designed full-component model can qualitatively predict component migration behavior. Additionally, a faster diffusion coefficient does not necessarily lead to a greater amount of migration. We employed MD simulations combined with density functional theory (DFT) calculations to explain this phenomenon and found that intermolecular interactions may influence the diffusion coefficient. At the same time, the migration amount is highly correlated with molecular polarity. Therefore, increasing the molecular polarity difference between easily migrating components and liner materials is a beneficial strategy for slowing the migration process and enhancing the storage safety of propellants.

Background: Scientific and technological innovation has become the ''key variable'' of national social and economic development. Nurses' innovation ability can improve the quality of patient care, thus shorten the hospital stay, reduce the medical costs, and promote the rapid development of the nursing industry. Nowadays nurses have gradually involved in various innovation, but less concerns are focus on the evaluation of nurse’s innovation competence. Objective: To develop evaluation index system for nurse's innovation competence. Participants: Eleven experts with innovation experience from different regions in China. Methods: Literature review and qualitative interview were used to establish first version of index system. Then, a two-round Delphi expert consultation was conducted to collect opinions from 11 experts. Then the final version of nurses' innovation competence evaluation index was used in one tertiary hospital for preliminary application. Results: The response rate of the two rounds was more than 90%, the expert familiarity coefficient was 0.818, the judgment coefficient was 0.918, and the authority coefficient was 0.868. The two rounds of expert coordination coefficient test showed P

CHAC1, an essential regulator of oxidative stress and ferroptosis, is increasingly recognized for its significant roles in these cellular processes and its impact on various human diseases and cancers. This review aims to provide a comprehensive overview of CHAC1’s molecular functions, regulatory mechanisms, and effects in different pathological contexts. Specifically, the study objectives are to elucidate the biochemical pathways involving CHAC1, explore its regulatory network, and discuss its implications in disease progression and potential therapeutic strategies. As a γ-glutamyl cyclotransferase, CHAC1 degrades glutathione, affecting calcium signaling and mitochondrial function. Its regulation involves transcription factors like ATF4 and ATF3, which control CHAC1 mRNA expression. CHAC1 is crucial for maintaining redox balance and regulating cell death pathways in cancer. Its elevated levels are associated with poor prognosis in many cancers, indicating its potential as a biomarker and therapeutic target. Additionally, CHAC1 influences non-cancerous diseases such as neurodegenerative and cardiovascular disorders. Therapeutically, targeting CHAC1 could increase cancer cell sensitivity to ferroptosis, aiding in overcoming resistance to standard treatments. This review compiles current knowledge and recent discoveries, emphasizing CHAC1’s vital role in human diseases and its potential in diagnostic and therapeutic applications.

BackgroundNeuroblastoma (NB), a prevalent extracranial solid tumor in children, stems from the neural crest. Omics technologies are extensively employed in NB, and We analyzed published articles on NB omics to understand the research trends and hot topics in NB omics.MethodWe collected all articles related to NB omics published from 2005 to 2023 from the Web of Science Core Collection database. Subsequently, we conducted analyses using VOSviewer, CiteSpace, Bibliometrix, and the Bibliometric online analysis platform (https://bibliometric.com/).ResultsWe included a total of 514 articles in our analysis. The increasing number of publications in this field since 2020 indicates growing attention to NB omics, gradually entering a mature development stage. These articles span 50 countries and 1,000 institutions, involving 3,669 authors and 292 journals. The United States has the highest publication output and collaboration with other countries, with Germany being the most frequent collaborator. Capital Medical University and the German Cancer Research Center are the institutions with the highest publication count. The Journal of Proteome Research and the Journal of Biological Chemistry are the most prolific journal and most co-cited journal, respectively. Wang, W, and Maris, JM are the scholars with the highest publication count and co-citations in this field. “Neuroblastoma” and “Expression” are the most frequent keywords, while “classification,” “Metabolism,” “Cancer,” and “Diagnosis” are recent key terms. The article titled “Neuroblastoma” by John M. Maris is the most cited reference in this analysis.ConclusionThe continuous growth in NB omics research underscores its increasing significance in the scientific community. Omics technologies have facilitated the identification of potential biomarkers, advancements in personalized medicine, and the development of novel therapeutic strategies. Despite these advancements, the field faces significant challenges, including tumor heterogeneity, data standardization issues, and the translation of research findings into clinical practice.

Abstract Background Despite the increasing focus on strengthening One Health capacity building on global level, challenges remain in devising and implementing real-world interventions particularly in the Asia-Pacific region. Recognizing these gaps, the One Health Action Commission (OHAC) was established as an academic community for One Health action with an emphasis on research agenda setting to identify actions for highest impact. Main text This viewpoint describes the agenda of, and motivation for, the recently formed OHAC. Recognizing the urgent need for evidence to support the formulation of necessary action plans, OHAC advocates the adoption of both bottom-up and top-down approaches to identify the current gaps in combating zoonoses, antimicrobial resistance, addressing food safety, and to enhance capacity building for context-sensitive One Health implementation. Conclusions By promoting broader engagement and connection of multidisciplinary stakeholders, OHAC envisions a collaborative global platform for the generation of innovative One Health knowledge, distilled practical experience and actionable policy advice, guided by strong ethical principles of One Health. Graphical Abstract

The N6-methyladenosine (m6A) modification is the most prevalent modification of eukaryotic mRNAs and plays a crucial role in various physiological processes by regulating the stability or function of target mRNAs. Accumulating evidence has suggested that m6A methylation may be involved in the pathological process of major depressive disorder (MDD), a common neuropsychiatric disorder with an unclear aetiology. Here, we found that the levels of the circular RNA HECW2 (circHECW2) were significantly increased in the plasma of both MDD patients and the chronic unpredictable stress (CUS) mouse model. Notably, the downregulation of circHECW2 attenuated astrocyte dysfunction and depression-like behaviors induced by CUS. Furthermore, we demonstrated that the downregulation of circHECW2 increased the expression of the methylase WTAP, leading to an increase in Gng4 expression via m6A modifications. Our findings provide functional insight into the correlation between circHECW2 and m6A methylation, suggesting that circHECW2 may represent a potential target for MDD treatment.

2,6-bis(picrylamino)-3,5-dinitropyridine (PYX) has excellent thermostability, which makes its thermal decomposition mechanism receive much attention. In this paper, the mechanism of PYX thermal decomposition was investigated thoroughly by the ReaxFF-lg force field combined with DFT-B3LYP(6–311++G) method. The detailed decomposition mechanism, small-molecule product evolution, and cluster evolution of PYX were mainly analyzed. In the initial stage of decomposition, the intramolecular hydrogen transfer reaction and the formation of dimerized clusters are earlier than the denitration reaction. With the progress of the reaction, one side of the bitter amino group is removed from the pyridine ring, and then the pyridine ring is cleaved. The final products produced in the thermal decomposition process are CO2, H2O, N2, and H2. Among them, H2O has the earliest generation time, and the reaction rate constant (k3) is the largest. Many clusters are formed during the decomposition of PYX, and the formation, aggregation, and decomposition of these clusters are strongly affected by temperature. At low temperatures (2500 K–2750 K), many clusters are formed. At high temperatures (2750 K–3250 K), the clusters aggregate to form larger clusters. At 3500 K, the large clusters decompose and become small. In the late stage of the reaction, H and N in the clusters escaped almost entirely, but more O was trapped in the clusters, which affected the auto-oxidation process of PYX. PYX’s initial decomposition activation energy (Ea) was calculated to be 126.58 kJ/mol. This work contributes to a theoretical understanding of PYX’s entire thermal decomposition process.

Abstract Shared electric vehicles (shared EVs) could be treated as energy storage and participate in electricity market services. In that case, the schedulable capacity that shared EV provide to grid in future time needs to be predicted accurately. Based on open data provided by a shared vehicle rental project, this research firstly proposes a method to build up schedulable capacity data set to prepare sample data for the deep learning‐based forecasting task. Secondly, a schedulable capacity forecasting model by MAML‐CNN‐LSTM‐Attention is proposed. Through the model, ultra‐short prediction (1 h) of aggregated schedulable vehicle‐to‐grid capacity of shared EVs is performed. The proposed model uses model‐agnostic meta‐learning (MAML) to optimize initial parameters of network to quickly adapt to changes in characteristics caused by different travel habits of different functional communities; uses two‐layer convolutional neural network (CNN) with long short‐term memory neural network (LSTM) and Attention mechanism to extract temporal‐spatial features of schedulable capacity for important historical moments. Simulation results show that the proposed model has a mean absolute percentage error (MAPE) of 1.13% and goodness of fit of 0.976, the MAML decreases the MAPE by 1.04%, its stability and accuracy were better than previous used models. The research can act as useful decision aids for shared EV operators to participate in market services.

Abstract Tumor cell clusters are regarded as critical factors in cancer pathophysiology, and increasing evidence of their higher treatment resistance and metastasis compared to single tumor cells has been obtained. However, existing cell separation methods that are designed for single tumor cells cannot be used to simultaneously purify tumor cell clusters. To address this problem, we demonstrated a microfluidic approach for the high-throughput, continuous-flow ternary separation of single tumor cells, tumor cell clusters, and WBCs from clinical pleural or abdominal effusions by coupling slanted spiral channels and periodic contraction-expansion arrays. We first systematically explored the influence of particle size and flow rate on particle focusing. The separation performance indicated that 94.0% of WBCs were removed and more than 97% of MDA-MB-231 tumor cells were recovered at a high flow rate of 3500 µL/min. Moreover, more than 90% of tumor cell clusters were effectively preserved after separation. Finally, we successfully applied our device for the ternary separation of single tumor cells, tumor cell clusters, and WBCs from different malignant effusions collected from patients with metastatic cancer. Thus, our spiral-contraction-expansion device has potential as a sample pretreatment tool for the cytological diagnosis of malignant effusions.

The recent years have witnessed the rapid advancement of clustered regularly interspaced short palindromic repeats/associated protein 9 (CRISPR/Cas9)-mediated gene editing in cancer therapy. The success of cancer gene therapy relies heavily on the development of safe and effective delivery vectors. We focus on organic nanocarriers because of their flexible customizability, which permits them to accomplish excellent delivery efficiency and performance. In this review, the pharmacokinetic behavior of CRISPR/Cas9 nanocarriers serves as a guide to outline the strategies for improving the bioavailability of nanocarriers through physical, chemical, and biological means. Furthermore, the potential of organic nanocarriers for simultaneous delivery of therapeutic agents and gene editing tools is highlighted. Finally, we discuss future directions for the development of cancer therapeutic nanosystems, paving the way for the construction of effective CRISPR/Cas9 delivery systems.

Objective The objective of this systematic review was to explore the evidence regarding shared decision-making (SDM) in the management of pulmonary nodules.Design Systematic review of quantitative and qualitative studies.Data source Studies published in English or Chinese up to April 2022 were extracted from nine databases: PubMed, PsycINFO, EMBASE, Cochrane Library, Web of Science and CINAHL, China National Knowledge Infrastructure, Wanfang Data and SinoMed Data.Eligibility criteria Studies were eligible if patients or healthcare providers are faced with pulmonary nodule management options or the interventions or experiences were focused on the patient–healthcare provider relationship or health education to make, increase or support shared decisions. All types of studies were included, including quantitative and qualitative studies. Grey literature and literature that had not been peer reviewed were excluded. Poster abstracts and non-empirical publications such as editorials, letters, opinion papers and review articles were excluded.Data extraction and synthesis Two reviewers independently screened abstracts and full texts, assessed quality using Joanna Briggs Institute’s critical appraisal tools, and extracted data from included studies. Thematic syntheses were used to identify prominent themes emerging from the data.Results A total of 12 studies met the inclusion criteria, 11 of which were conducted in USA. These included six qualitative studies and six quantitative studies (including both survey and quasi-experimental designs). Three major themes with specific subthemes emerged: (1) Opportunity (uncertainty in the diagnosis and treatment of pulmonary nodules, willingness to participate in decision-making); (2) Ability (patient’s lack of knowledge, physician’s experience); and (3) Different worldview (misconception, distress among patients, preference for diagnosis and treatment).Conclusions Uncertainty in the management of pulmonary nodules is the opportunity to implement SDM. Patients’ lack of knowledge, distress, and misunderstandings between healthcare providers and patients are both the main obstacles and the causes of the application of SDM.

Increasing evidences demonstrate that environmental stressors are important inducers of acute kidney injury (AKI). This study aimed to investigate the impact of exposure to Cd, an environmental stressor, on renal cell ferroptosis. Transcriptomics analyses showed that arachidonic acid (ARA) metabolic pathway was disrupted in Cd-exposed mouse kidneys. Targeted metabolomics showed that renal oxidized ARA metabolites were increased in Cd-exposed mice. Renal 4-HNE, MDA, and ACSL4, were upregulated in Cd-exposed mouse kidneys. Consistent with animal experiments, the in vitro experiments showed that mitochondrial oxidized lipids were elevated in Cd-exposed HK-2 cells. Ultrastructure showed mitochondrial membrane rupture in Cd-exposed mouse kidneys. Mitochondrial cristae were accordingly reduced in Cd-exposed mouse kidneys. Mitochondrial SIRT3, an NAD+-dependent deacetylase that regulates mitochondrial protein stability, was reduced in Cd-exposed mouse kidneys. Subsequently, mitochondrial GPX4 acetylation was elevated and mitochondrial GPX4 protein was reduced in Cd-exposed mouse kidneys. Interestingly, Cd-induced mitochondrial GPX4 acetylation and renal cell ferroptosis were exacerbated in Sirt3−/− mice. Conversely, Cd-induced mitochondrial oxidized lipids were attenuated in nicotinamide mononucleotide (NMN)-pretreated HK-2 cells. Moreover, Cd-evoked mitochondrial GPX4 acetylation and renal cell ferroptosis were alleviated in NMN-pretreated mouse kidneys. These results suggest that mitochondrial GPX4 acetylation, probably caused by SIRT3 downregulation, is involved in Cd-evoked renal cell ferroptosis.

Diabetes can lead to a disorder of bone-fat balance, a significant cause of osteoporosis due to changes in environmental factors. Baicalin (Bai), an active ingredient of Scutellaria baicalensis, has been confirmed to possess antioxidant, hypoglycemic, and anti-osteoporotic effects. However, a comprehensive understanding of Bai's influence on diabetic osteoporosis (DOP), including its effects and underlying mechanisms, remains elusive. This study investigated Bai's impact on the bone-fat equilibrium in rats with DOP. The results indicated that Bai alleviated bone damage in DOP by promoting osteogenesis and inhibiting adipogenesis. Concurrently, through bioinformatics analysis, it was suggested that Bai's mechanism of action might involve the P38-MAPK pathway. In vitro, Bai was found to enhance the development of bone marrow mesenchymal stem cells (BMSCs) towards osteogenic lineages while suppressing their differentiation towards adipogenic lineages. It was discovered that Bai's promotion of BMSC osteogenic differentiation depends on the P38-MAPK pathway. Additionally, the synergistic effect mediated by Bai and P38-MAPK inhibitor suppressed BMSC adipogenic differentiation. Our research indicates that the P38-MAPK pathway play a role in Bai's effects on the osteogenic-adipogenic differentiation of BMSCs, showcasing the potential for DOP treatment. This study highlights Bai's ability to regulate the equilibrium between bone and fat, presenting a novel approach to adressing DOP.

Abstract Background The increasing number of sequential treatments complicates the evaluation of overall survival (OS) in clinical trials for hepatocellular carcinoma (HCC), therefore, reliable surrogate endpoints (SEs) are required. This study aimed to evaluate the surrogacy of progression-free survival (PFS) and one-year (1-yr) milestone survival for OS in HCC trials. Methods We systematically searched databases for randomized clinical trials that evaluated systemic treatments for advanced HCC. Individual patient data were reconstructed to calculate the 1-yr survival rate. We adopted a two-stage meta-analytic validation model to evaluate the correlation between SEs and OS, and the correlation between treatment effects on SEs and OS. The hazard ratio (HR) was calculated to assess the treatment effects on PFS and OS, and the 1-yr survival ratio was calculated to evaluate the treatment effects on the 1-yr milestone survival. Results Thirty-two HCC trials involving 13,808 patients were included. A weak correlation was detected between the median PFS and median OS (R2 = 0.32), whereas the correlation improved between PFS HR and OS HR (R2 = 0.58). We identified strong correlations between the 1-yr survival rate and median OS and between the 1-yr survival ratio and OS HR (R2 = 0.74 and 0.65, respectively). In subgroup analyses, PFS HR strongly correlated with OS HR in trials relevant to immune checkpoint inhibitors (ICIs). Although the correlation remained weak between PFS and OS even in trials with PFS HR ≤ 0.6, the 1-yr survival rate and 1-yr survival ratio were strong surrogates for median OS and OS HR, respectively (R2 = 0.77 and 0.75). Conclusions One-year milestone survival outperformed PFS as a SE for OS in HCC, indicating the application of 1-yr survival as a secondary endpoint. In particular, PFS HR was a potential SE for OS HR in the ICI trials.

Abstract Murals are an important part of China’s cultural heritage. After more than a 1000 years of exposure to the sun and wind, most of these ancient murals have become mottled, with damage such as cracking, mold, and even large-scale detachment. It is an urgent work to restore these damaged murals. The technique of digital restoration of mural images refers to the reconstruction of structures and textures to virtually fill in the damaged areas of the image. Existing digital restoration methods have the problems of incomplete restoration and distortion of local details. In this paper, we propose a generative adversarial network model combining a parallel dual convolutional feature extraction depth generator and a ternary heterogeneous joint discriminator. The generator network is designed with the mechanism of parallel extraction of image features by vanilla convolution and dilated convolution, capturing multi-scale features simultaneously, and reasonable parameter settings reduce the loss of image information. A pixel-level discriminator is proposed to identify the pixel-level defects of the captured image, and its joint global discriminator and local discriminator discriminate the generated image at different levels and granularities. In this paper, we create the Dunhuang murals dataset and validate our method on this dataset, and the experimental results show that the method of this paper has an overall improvement in the evaluation metrics of PSNR and SSIM compared with the comparative methods. The restored resultant image is more in line with the subjective vision of human beings, which achieves the effective restoration of mural images.

Objective Foraminoplasty is an important step in transforaminal endoscopic lumbar discectomy (TELD). A trephine is widely used in foraminoplasty. However, foraminoplasty using a trephine alone sometimes fails to remove the resected bone, resulting in the bone remaining in the foramen or spinal canal, which can potentially cause neurological irritation or injury. The objective of this study is to introduce a self‐designed tool, referred to as an anchoring drill, for use with a trephine in foraminoplasty in TELD and to evaluate its advantages. Methods A retrospective review was performed to identify patients who underwent L4–5 TELD between January 2019 to January 2022. Foraminoplasty was performed in all patients. Depending on whether the anchoring drill was used or not, patients were divided into two groups. Surgery‐related parameters and complications were reviewed. Visual analog scale (VAS) and Japanese Orthopaedic Association (JOA) scores were also assessed for all patients. SPSS statistical software was used for statistical calculation. Results A total of 100 patients were included (55 in the anchoring drill group and 45 in the trephine group). The incidence of residual bone fragments after foraminoplasty of the anchoring drill group was 9.09%, which was lower than that of the trephine group, at 33.33% (p

Amide bond is a ubiquitous and crucial functional group that serves as the linchpin for constructing proteins, peptides, and is also the central site in numerous drug molecules. Consequently, it is crucial to investigate the strategies and mechanisms of amidation reactions. In recent years, the use of electrochemistry for amidation has gained significant attention due to its exceptional qualities such as increased selectivity and eco-friendliness. However, due to the complexities of the reaction processes and the scarcity of relevant analytical tools, the studys of in-situ monitoring and mechanistic investigations on these electrochemical amidation reactions are rare. In response to this challenge, a novel coupling device was designed in this study. The main component of the coupling device was a glass capillary tube with a metal cover. The metal coating on the tip's outer surface was connected to a high voltage power supply to drive the electrospray ionization process. Additionally, the metal coating inside the tip was also connected to the metal coating on the tip's outer surface and served as the working electrode for an electrochemical reaction. When high voltage was applied, both the electrospray process and the electrochemical reaction on the tip could be driven simultaneously. The substances produced by the electrochemical reaction in the capillary tip could be quickly transfered to spray droplets, ionized via desolvation process, and finally detected via mass spectrometry. Based on this technique, a series of aromatic primary amines amidation reactions were observed in situ while using triphenylphosphine as the condensing agent. Numerous important intermediates were also discovered during these reactions. Remarkably, this novel approach not only facilitated continuous real-time monitoring of these reactions but also empowered scientists to unambiguously identify an array of key intermediates, including the elusive short-lived free radical intermediates. The electrochemical-mass spectrometry coupling device has numerous advantages, including short analysis delays, the ethical use of sample resources, and uncomplicated, simple preparation processes. It's potential to revolutionize the field of electroorganic synthesis reactions. This cutting-edge technique is poised to become an invaluable tool for rapid screening and in-depth investigations into the complex mechanisms of driving amidation reactions. The coupling device represents an exciting improvement forward in the context of drug investigations, where precision and efficiency are critical. Additionally, as society places increasing emphasis on environmental sustainability and the demand for precise chemical processes intensifies, this breakthrough coupling device is expected to become a formidable instrument in investigating the mechanism of electrochemical reactions.

Abstract The aggregation of the remaining battery capacity of electric vehicles (EVs) can be used as distributed energy storage to participate in the microgrid optimisation through vehicle‐to‐grid (V2G) technology. However, the reliability of this service to be delivered is affected by the uncertainty of EVs’ behaviour. The un‐reliable service will bring risks in the operation of microgrid when EVs’ V2G electricity is regarded as an important flexibility resource. This paper, first proposes an analytical method to quantify the reliability of EV aggregation's (EVA's) V2G electricity based on the analysis of historical charging data and compound Poisson process. Based on this model, electric vehicles aggregators can evaluate the V2G bid quantity for any time slot on day t+1 according to the reliability requirements. Secondly, an optimal operation model of microgrid with consideration of V2G's reliability is considered. Finally, a test system with photovoltaics (PVs) and EVA on top of the original IEEE 33‐node system is used to verify the effectiveness of the proposed model. The results show that with the proposed reliability evaluation method of V2G electricity, the optimal operation of the microgrid can be reached with appropriate evaluation of the capability of the EVA.

Abstract The study aims to investigate the distress level and its influencing factors in Chinese pulmonary nodules patients. A total of 163 outpatients in a tertiary hospital in Xi'an, China, were recruited and investigated by using the Impact of Event Scale, Decision Conflict Scale, Consultation Care Measure, Lung Cancer Worry Scale and a demographic questionnaire. The logistic regression model was used to identify the factors of distress. The mean IES score was 37.35 ± 16.65, which was a moderate level. Patients aged 50–60 years, with higher decision conflicts scores, lower physician–patient communication quality score, and who are anxious about the results of future tests or treatments had higher distress score. Distress levels were moderate in patients with pulmonary nodules. Communication between medical staff and patients is extremely important for the management of pulmonary nodules, which affects the quality of the patient's decision-making and his level of distress.

Aluminum nanoparticles (nAl) have received sustained interest due to their higher reactivity than micron aluminum particles (mAl). However, in practice, the densities of explosive formulations with nAl are far smaller than those with mAl, which greatly undercuts the energy release performance. To take advantages of both kinds of Al particles, in situ integration of mAl@nAl composites was proposed and evaluated. The mAl@nAl composites were prepared by in situ electrical explosion of Al wire. Their morphology, density, and specific surface area (SSA) were characterized by scanning electron microscope (SEM), densimetry, and Brunauer–Emmett–Teller (BET), respectively. SEM showed that nAl uniformly adhered to the surface of mAl. With the increase in voltage, the average diameter and density of the composites decreased, but the SSA of the composites increased. And the largest density of the composites was 1.13 g/cm3, comparable to that of the commercial graded Al product (1.25 g/cm3). Meanwhile, the highest SSA of the composites was 12.1192 m2/g. In addition, the combustion efficiency of mAl@nAl composites at 20 kV was 8.26% higher than that of physically graded counterparts. The constant-volume combustion test under zero oxygen balance revealed that the pressurization rate and peak pressure of mAl@nAl composites prepared at 20 kV were the highest of all. Furthermore, constant-volume combustion under constant heat showed that the combustion temperatures of mAl@nAl composites were 1.15–1.45 times higher than those of physically graded counterparts. Finally, the ignition delay of mAl@nAl composites was reduced with the increase in explosion voltage.

Abstract Objective Non‐small‐cell lung cancer (NSCLC) is a deadly form of cancer that exhibits extensive intercellular communication which contributed to chemoradiotherapy resistance. Recent evidence suggests that arrange of key proteins are involved in lung cancer progression, including gap junction proteins (GJPs). Methods and Results In this study, we examined the expression patterns of GJPs in NSCLC, uncovering that both gap junction protein, beta 2 (GJB2) and gap junction protein, beta 2 (GJB3) are increased in LUAD and LUSC. We observed a correlation between the upregulation of GJB2, GJB3 in clinical samples and a worse prognosis in patients with NSCLC. By examining the mechanics, we additionally discovered that nuclear factor erythroid‐2‐related factor 1 (NFE2L1) had the capability to enhance the expression of connexin26 and connexin 31 in the NSCLC cell line A549. In addition, the use of metformin was discovered to cause significant downregulation of gap junction protein, betas (GJBs) by limiting the presence of NFE2L1 in the cytoplasm. Conclusion This emphasizes the potential of targeting GJBs as a viable treatment approach for NSCLC patients receiving metformin.

BackgroundRapid eye movement sleep behavior disorder (RBD) is common in individuals with Parkinson’s disease (PD). In spite of that, the precise mechanism underlying the pathophysiology of RBD among PD remains unclear.ObjectiveThe aim of the present study was to analyze gray matter volumes (GMVs) as well as the changes of functional connectivity (FC) among PD patients with RBD (PD-RBD) by employing a combination of voxel-based morphometry (VBM) and FC methods.MethodsA total of 65 PD patients and 21 healthy control (HC) subjects were included in this study. VBM analyses were performed on all subjects. Subsequently, regions with significant different GMVs between PD patients with and without RBD (PD-nRBD) were selected for further analysis of FC. Correlations between altered GMVs and FC values with RBD scores were also investigated. Additionally, receiver operating characteristic (ROC) curves were employed for the evaluation of the predictive value of GMVs and FC in identifying RBD in PD.ResultsPD-RBD patients exhibited lower GMVs in the left middle temporal gyrus (MTG) and bilateral cuneus. Furthermore, we observed higher FC between the left MTG and the right postcentral gyrus (PoCG), as well as lower FC between the bilateral cuneus (CUN) and the right middle frontal gyrus (MFG) among PD-RBD patients in contrast with PD-nRBD patients. Moreover, the GMVs of MTG (extending to the right PoCG) was positively correlated with RBD severity [as measured by REM Sleep Behavior Disorder Screening Questionnaire (RBDSQ) score]. Conversely, the FC value between the bilateral CUN and the right MTG in PD-RBD patients was negatively correlated with RBDSQ score.ConclusionThis study revealed the presence replace with GMV and FC changes among PD-RBD patients, which were closely linked to the severity of RBD symptoms. Furthermore, the combination of basic clinical characteristics, GMVs and FC values effectively predicted RBD for individuals with PD.

Abstract Circularly polarized light (CPL) adds a unique dimension to optical information processing and communication. Integrating CPL sensitivity with light learning and memory in a photonic artificial synapse (PAS) device holds significant value for advanced neuromorphic vision systems. However, the development of such systems has been impeded by the scarcity of suitable CPL active optoelectronic materials. In this work, we employ a helical chiral perovskite hybrid combined with single-wall carbon nanotubes to achieve circularly polarized ultraviolet neuromorphic vision sensing and imaging. The heterostructure demonstrates long-term charge storage as evidenced by multiple-pulsed transient absorption measurements and highly sensitive circular polarization-dependent photodetection, thereby enabling efficient CPL-resolved synaptic and neuromorphic behaviors. Significantly, our PAS sensor arrays adeptly visualize, discriminate, and memorize distinct circularly polarized images with up to 93% recognition accuracy in spiking neural network simulations. These findings underscore the pivotal role of chiral perovskites in advancing PAS technology and circular polarization-enhanced ultraviolet neuromorphic vision systems.

Abstract Background Through bioinformatics analysis to identify the hub genes of Intervertebral disc degeneration (IVDD) associated with basement membranes (BMs) and find out the potential molecular targets and drugs for BMs-related annulus fibrosus (AF) degeneration based on bioinformatic analysis and molecular approach. Methods Intervertebral disc degeneration (IVDD) related targets were obtained from GeneCards, DisGenet and OMIM databases. BMs related genes were obtained from Basement membraneBASE database. The intersection targets were identified and subjected to protein-to-protein interaction (PPI) construction via STRING. Hub genes were identified and conducted Gene ontology (GO) and pathway enrichment analysis through MCODE and Clue GO in Cytospace respectively. DSigDB database was retrieved to predict therapeutic drugs and molecular docking was performed through PyMOL, AutoDock 1.5.6 to verify the binding energy between the drug and the different expressed hub genes. Finally, GSE70362 from GEO database was obtained to verify the different expression and correlation of each hub gene for AF degeneration. Results We identified 41 intersection genes between 3 disease targets databases and Basement membraneBASE database. PPI network revealed 25 hub genes and they were mainly enriched in GO terms relating to glycosaminoglycan catabolic process, the TGF-β signaling pathway. 4 core targets were found to be significant via comparison of microarray samples and they showed strong correlation. The molecular docking results showed that the core targets have strong binding energy with predicting drugs including chitosamine and retinoic acid. Conclusions In this study, we identified hub genes, pathways, potential targets, and drugs for treatment in BMs-related AF degeneration and IVDD.

Background Lateral displacement of cage is a rarely seen complication of oblique lumbar interbody fusion (OLIF). To the best of our knowledge, this complication has always been revised with posterior open surgery. However, open surgery often associates with large trauma and long period of recovery. Case Presentation In the case presented, a 64‐year‐old male patient with lateral displacement of cage which consequently caused neurological symptoms after OLIF, was reported and surgically revised with an endoscopic resection and decompression technique. The surgery was performed through a posterolateral approach which was similar to transforaminal approach, with estimated blood loss of 45mL and whole operation time of 70 min. Neurological symptoms were disappeared after operation immediately and the patient was discharged 2 days later. He reported no symptoms other than mild weakness of the lower back at the last follow‐up of 12 months. Conclusion Endoscopic decompression technique may be an effective alternative to surgically treat lateral displacement of cage after OLIF with advantages of minimal invasion and quick recovery.