全部最新文献

{"title":"Tumor microenvironment-responsive conformational activation of apoA-I mimetic peptides for targeted cancer therapy.","authors":"Mengjie Rui, Lei Fang, Mengfei Jia, Wenyan Liang, Yinfeng Li, Yaoshun Ruan, Chunlai Feng","doi":"10.1080/10717544.2025.2604086","DOIUrl":"https://doi.org/10.1080/10717544.2025.2604086","url":null,"abstract":"<p><p>Apolipoprotein A-I (ApoA-I) mimetic peptides have garnered attention as potential anticancer agents owing to their role in cholesterol metabolism and ability to interact with the SR-BI receptor. However, their tendency to form lipid-bound structures in circulation limits their tumor-targeting therapeutic potential and raises the risk of off-target effects. In this study, we engineered a stimuli-responsive ApoA-I mimetic peptide by incorporating reactive oxygen species (ROS) -responsive amino acid derivatives into its sequence. Under normal physiological conditions, the peptide adopted a disordered conformation, minimizing nonspecific interactions. In contrast, the exposure to the tumor microenvironment, which is characterized by low pH and elevated ROS, could trigger a conformational transition to a structured <i>α</i>-helical state, thereby enhancing its membrane-disruptive and tumor-targeting capabilities. Molecular dynamics simulations predicted a rapid increase in <i>α</i>-helical content for the peptide candidate 5A under tumor-like conditions. These predictions were experimentally validated using circular dichroism spectroscopy, liposome leakage assays, and transmission electron microscopy, which demonstrated that peptide 5A effectively interacted with lipid membranes only upon activation in a tumor-like environment. <i>In vitro</i> cytotoxicity assays further confirmed the selective anticancer activity of peptide 5A under acidic conditions, while <i>in vivo</i> imaging and tumor inhibition studies in breast cancer models revealed significant tumor accumulation and a tumor growth inhibition rate of up to 71.43% at a 6 mg/kg dose. Our results demonstrated the potential of stimuli-responsive ApoA-I mimetic peptides for targeted cancer therapy, offering a promising strategy to enhance therapeutic efficacy while minimizing systemic toxicity.</p>","PeriodicalId":11679,"journal":{"name":"Drug Delivery","volume":"33 1","pages":"2604086"},"PeriodicalIF":8.1,"publicationDate":"2026-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145767549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of uterine peristalsis in artificial hormone treatment versus aromatase inhibitor-stimulated frozen embryo transfer cycles.","authors":"Erhan Şimşek, Gülşen Doğan Durdağ, Didem Alkaş Yağınç, Selçuk Yetkinel, Pınar Çağlar Aytaç","doi":"10.1080/09513590.2025.2602969","DOIUrl":"https://doi.org/10.1080/09513590.2025.2602969","url":null,"abstract":"<p><strong>Objective: </strong>Uterine peristalsis, which originates from sub-endometrial zone of myometrium, is observed at ultrasonography as a wave-like activity of endometrium. Increased uterine peristalsis is suggested to be related to decreased pregnancy rates in both fresh and frozen embryo transfer cycles. The aim of this study is to compare the effects of two different frozen embryo transfer preparation protocols on the frequency of uterine peristalsis and to evaluate the effect of peristalsis on pregnancy rates.</p><p><strong>Methods: </strong>In this observational cohort study, 3-min transvaginal ultrasound videos were recorded one hour before embryo transfer in frozen embryo transfer cycles prepared by either artificial hormone treatment or aromatase inhibitor stimulation. Peristalsis frequency was assessed by reviewing videos at triple speed. Consequent pregnancy outcomes were also analyzed.</p><p><strong>Results: </strong>During the study period of four months, a total of 147 patients with 99 artificial hormone treatments and 48 aromatase inhibitor-stimulated frozen embryo transfer cycles were included. The absence of uterine peristalsis was observed in 27.1% of the aromatase inhibitor-stimulated patients and 23.2% of the artificial hormone-treated patients (<i>p</i> = 0.68). Among those with peristalsis, the frequency was similar between groups (0.95 ± 0.59 and 0.98 ± 0.68 for the aromatase inhibitor-stimulated and artificial hormone treatment protocols, respectively; <i>p</i> = 0.97). Peristalsis presence or frequency was not associated with pregnancy or live birth rates.</p><p><strong>Conclusions: </strong>In this study, uterine peristalsis frequency at frozen embryo transfer cycles did not differ between endometrial preparation protocols and showed no significant association with pregnancy outcomes. Further randomized studies are warranted.</p>","PeriodicalId":12865,"journal":{"name":"Gynecological Endocrinology","volume":"42 1","pages":"2602969"},"PeriodicalIF":1.7,"publicationDate":"2026-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145762644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ambulatory blood pressure variability in prediction of target organ injury: the SHIP AHOY study.","authors":"Coral D Hanevold, Jang Dong Seo, Stephen R Daniels, Bonita E Falkner, Michael A Ferguson, Joseph T Flynn, Julie R Ingelfinger, Philip R Khoury, Marc B Lande, Kevin E Meyers, Mark Mitsnefes, Joshua Samuels, Elaine M Urbina","doi":"10.1007/s00467-025-06803-4","DOIUrl":"10.1007/s00467-025-06803-4","url":null,"abstract":"<p><strong>Background: </strong>Ambulatory hypertension is associated with elevated left ventricular mass index (LVMI), cardiac dysfunction, and increased arterial stiffness in adolescents. Whether the addition of measures of BP variability improves the prediction of subclinical cardiovascular target organ damage (TOD) over mean BP measures is not known.</p><p><strong>Methods: </strong>We assessed clinic and ambulatory BP (ABP), anthropometrics, and TOD in 397 adolescents. ABP means standard deviation (SD), BP, and heart rate (HR) dipping were calculated; coefficients of variability (CV) were calculated (SD/mean) to assess ABP variabilities. Measures of TOD included LVMI, left ventricular hypertrophy (LVH), LV systolic shortening, LV diastolic function (e'/a'), and pulse wave velocity. General linear models were used to determine if increased ABP variability measures were significant determinants of TOD in models containing mean ABP percentiles, age, sex, race/ethnicity, BMI z-score, and HR.</p><p><strong>Results: </strong>Mean participant age was 15.6 ± 1.7 years (63% white, 59% male) with mean casual BP 122.6/71.6 mmHg ±12.4/10.5, and mean awake systolic ABP 124.2/72.0 ± 11.3/7.7 mmHg. In linear models, increased awake CV-DBP and HR dipping were significant determinants of LVMI. CV-HR was an independent determinant of diastolic (e'/a') but not systolic dysfunction. Using logistic regression, the combination of awake and asleep diastolic ABP variability and awake systolic ABP percentile improved the prediction of LVH.</p><p><strong>Conclusions: </strong>Consideration of ABP variability in addition to ABP percentile may aid in identifying adolescents at risk for LVH.</p>","PeriodicalId":19735,"journal":{"name":"Pediatric Nephrology","volume":" ","pages":"157-165"},"PeriodicalIF":2.6,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12416511/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144094356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Response to critical appraisal of \"Thiamin deficiency in children with chronic kidney disease on peritoneal dialysis and its association with dialysis duration and transport peritoneal membrane status\".","authors":"Phakwan Laohathai, Narumon Densupsoontorn","doi":"10.1007/s00467-025-06992-y","DOIUrl":"10.1007/s00467-025-06992-y","url":null,"abstract":"","PeriodicalId":19735,"journal":{"name":"Pediatric Nephrology","volume":" ","pages":"255"},"PeriodicalIF":2.6,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145239390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Body shape concerns among Jordanian university students: prevalence, correlates, and association with social media use.","authors":"Hadeel Heilat, Shuja Mashagba, Mosab Said, Ronza Nemrawi, Fadi Alkhawaja, Eman Al-Refai, Mohammad AlElaimat, Saleh Bani Nassr, Dima Oudat","doi":"10.1080/20565623.2025.2601632","DOIUrl":"https://doi.org/10.1080/20565623.2025.2601632","url":null,"abstract":"<p><strong>Background: </strong>Body shape concerns (BSC) and body dissatisfaction represent emerging public health issues, yet evidence from Middle Eastern contexts, including Jordan, remains limited. These concerns adversely affect psychological health and are shaped by sociocultural pressures and digital media exposure.</p><p><strong>Methods: </strong>A cross-sectional study was conducted among 418 undergraduate university students in Northern Jordan. Participants completed the Body Shape Questionnaire-8D (BSQ-8D) to assess BSC. Demographic, behavioral, and media use variables were analyzed to identify correlations.</p><p><strong>Results: </strong>Among 418 respondents (96% aged 17-24; 53% female), 73% reported no BSC. Higher levels of BSC were significantly associated with increased body mass index (BMI) (<i>p</i> < 0.001). Compared to normal-weight peers, overweight students had higher odds of reporting mild [adjusted odds ratio (AOR: 3.7)]and moderate to marked (AOR: 2.56) BSC. Parental education and social media use were also significant factors. Students who did not use Snapchat (AOR = 2.05), did not use TikTok (AOR = 2.15), and cigarette smokers (AOR = 2.75) had higher odds of reporting elevated BSC levels.</p><p><strong>Conclusions: </strong>BSC among Jordanian university students is shaped by multiple psychosocial and behavioral factors, with BMI emerging as the strongest predictor. Findings underscore the need for culturally informed strategies addressing weight stigma, smoking, parental influences, and media engagement. Integrating BSC screening into routine healthcare may support early detection of at-risk groups.</p>","PeriodicalId":12568,"journal":{"name":"Future Science OA","volume":"12 1","pages":"2601632"},"PeriodicalIF":2.1,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145741976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Real-time driver activity detection using advanced deep learning models.","authors":"Md Al Emran, Md Ariful Islam, Md Obaydullahn Khan, Md Jewel Rana, Saida Tasnim Adrita, Md Ashik Ahmed, Mahmoud M A Eid, Ahmed Nabih Zaki Rashed","doi":"10.1007/s11571-025-10376-1","DOIUrl":"https://doi.org/10.1007/s11571-025-10376-1","url":null,"abstract":"<p><p>Traffic accidents usually result from driver's inattention, sleepiness, and distraction, posing a substantial danger to worldwide road safety. Advances in computer vision and artificial intelligence (AI) have provided new prospects for designing real-time driver monitoring systems to reduce these dangers. In this paper, we assessed four known deep learning models, MobileNetV2, DenseNet201, NASNetMobile, and VGG19, and offer a unique Hybrid CNN-Transformer architecture reinforced with Efficient Channel Attention (ECA) for multi-class driver activity categorization. The framework defines seven important driving behaviors: Closed Eye, Open Eye, Dangerous Driving, Distracted Driving, Drinking, Yawning, and Safe Driving. Among the baseline models, DenseNet201 (99.40%) and MobileNetV2 (99.31%) achieved the highest validation accuracies. In contrast, the proposed Hybrid CNN-Transformer with ECA attained a near-perfect validation accuracy of 99.72% and further demonstrated flawless generalization with 100% accuracy on the independent test set. Confusion matrix studies further indicate a few misclassifications, verifying the model's high generalization capacity. By merging CNN-based local feature extraction, attention-driven feature refinement, and Transformer-based global context modeling, the system provides both robustness and efficiency. These findings show the practicality of using the suggested technology in real-time intelligent transportation applications, presenting a viable avenue toward reducing traffic accidents and boosting overall road safety.</p>","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"20 1","pages":"7"},"PeriodicalIF":3.9,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12618750/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145538985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A dual brain EEG examination of the effects of direct and vicarious rewards on bilingual Language control.","authors":"Junjun Huang, Shuang Liu, Mengjie Lv, John W Schwieter, Huanhuan Liu","doi":"10.1007/s11571-025-10375-2","DOIUrl":"https://doi.org/10.1007/s11571-025-10375-2","url":null,"abstract":"<p><p>Little is known about whether direct and vicarious rewards affect bilingual language control in social learning. We used a dual-electroencephalogram (EEG) to simultaneously record the effects of direct and vicarious rewards on language control when bilinguals switched between their two languages. We found that both direct and vicarious rewards elicited more switch behavior. On an electrophysiological level, although both direct and vicarious rewards elicited Reward-positivity and Feedback-P3 when receiving reward outcomes, direct rewards induced greater reward effects than vicarious rewards. In addition to an N2 effect in language switching, vicarious rewards elicited more pronounced LPCs relative to direct rewards. More important, in the alpha band, there was a predictive effect of behaviors on rewards in binding vicarious rewards and language switching activities. These findings demonstrate that both direct and vicarious rewards influence language control during language selection.</p>","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"20 1","pages":"2"},"PeriodicalIF":3.9,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12612500/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145539388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Membranous-like glomerulopathy with masked IgG-k deposits in a pediatric patient with juvenile idiopathic arthritis.","authors":"Priyanka Chati, Jill Krissberg, Kammi Henriksen, Brian Nolan, Meredith Harris","doi":"10.1007/s00467-025-06954-4","DOIUrl":"10.1007/s00467-025-06954-4","url":null,"abstract":"<p><p>Membranous-like glomerulopathy with masked IgG-kappa deposits (MGMID) is a rare entity described primarily among young females with previously diagnosed autoimmune diseases. We present a 12-year-old female with systemic juvenile idiopathic arthritis (sJIA) with persistent non-nephrotic range proteinuria despite normal kidney function. She underwent two kidney biopsies with the second ultimately confirming her diagnosis. The initial biopsy was suggestive of mild C3 glomerulonephritis (C3GN). She was started on an angiotensin-converting enzyme inhibitor (ACE-I) without improvement. Proteinuria progressed to the nephrotic range, prompting initiation of high-dose steroids followed by a steroid taper. Mycophenolate was added during steroid weaning due to ongoing proteinuria. Despite full-dose mycophenolate and ACE-I therapy, a repeat biopsy was performed due to lack of response and revealed MGMID. She remains on full-dose mycophenolate and lisinopril with significant improvement in her proteinuria.</p>","PeriodicalId":19735,"journal":{"name":"Pediatric Nephrology","volume":" ","pages":"81-84"},"PeriodicalIF":2.6,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12685971/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145070183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Autophagy and ubiquitination in important swine viral infections: Host defense and viral antagonism.","authors":"Zhan He, Min Liu, Qianqian Xie, Haotong Lu, Chunhe Guo","doi":"10.1080/21505594.2025.2605370","DOIUrl":"10.1080/21505594.2025.2605370","url":null,"abstract":"<p><p>Swine viral infections continue to impose major economic and animal-health burdens worldwide, with pathogens such as porcine epidemic diarrhea virus (PEDV), African swine fever virus (ASFV), and porcine reproductive and respiratory syndrome virus (PRRSV) causing recurrent outbreaks. Autophagy and ubiquitination are central degradative pathways that act as double-edged swords, serving both host defense and viral exploitation. In this narrative review, we synthesize recent advances showing how these pathogens manipulate ubiquitin - autophagy circuits while host cells counteract through selective autophagy. We propose an autophagy - metabolism - immunity triad that positions autophagy as a hub linking infection, metabolic reprogramming, and immune evasion. This integrated framework moves beyond the traditional view of autophagy as strictly antiviral or pro-viral. Deciphering how viruses hijack ubiquitin - autophagy axes reveals actionable therapeutic targets and translational opportunities for antivirals, adjuvants, and metabolic interventions to reduce the burden of swine viral diseases.</p>","PeriodicalId":23747,"journal":{"name":"Virulence","volume":" ","pages":"2605370"},"PeriodicalIF":5.4,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145758059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Attention-guided deep learning-machine learning and statistical feature fusion for interpretable mental workload classification from EEG.","authors":"Sukanta Majumder, Dibyendu Patra, Subhajit Gorai, Anindya Halder, Utpal Biswas","doi":"10.1007/s11571-025-10392-1","DOIUrl":"https://doi.org/10.1007/s11571-025-10392-1","url":null,"abstract":"<p><p>Accurate assessment of mental workload (MWL) from electroencephalography (EEG) signals is crucial for real-time cognitive monitoring in safety-critical domains such as aviation and human-computer interaction. Although various computational approaches have been proposed, those mostly suffer from limited robustness, interpretability, or fail to fully exploit both temporal and non-linear neural dynamics. This article introduces a novel hybrid deep learning and XGBoost stacking ensemble framework for reliable and interpretable MWL classification from EEG. The proposed pipeline systematically includes preprocessing of raw EEGs, followed by comprehensive feature extraction (time-domain, frequency-domain, wavelet-based, entropy, and fractal dimension features), and subsequent discriminative feature selection phase using ANOVA F-values, yielding a compact set of 200 highly informative features. The proposed architecture consists of dual processing branches: a CNN-BiLSTM-Attention based deep learning branch for automatic learning of spatiotemporal dynamics, and an XGBoost branch for robust classification from engineered features. Predictions from both branches are integrated using a logistic regression stacking ensemble, maximizing complementary strengths and improving generalization. Experiments are conducted on the STEW (simultaneous workload) and EEGMAT (mental arithmetic task) dataset. Proposed model yields 96.87% and 99.40% of classification accuracy by outperforming 16 and 7 previously published state-of-the-art techniques on STEW and EEGMAT dataset respectively. Attention heatmaps and SHAP value analysis provide intuitive visual explanations and interpretability of the model's decision making, while systematic ablation studies validate the contribution of each architectural module. This work demonstrates that a carefully engineered stacking ensemble, informed by both deep learning and classical machine learning, capable of delivering not only improved performance but also enhanced interpretability for EEG-based MWL assessment in real-world applications.</p>","PeriodicalId":10500,"journal":{"name":"Cognitive Neurodynamics","volume":"20 1","pages":"18"},"PeriodicalIF":3.9,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12681509/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145707567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}