Scientific Reports最新文献

{"title":"Nature-based Solutions as Building Blocks for coastal flood risk reduction: a model-based ecosystem service assessment.","authors":"Massimiliano Marino, Martin J Baptist, Ahmad I K Alkharoubi, Sofia Nasca, Luca Cavallaro, Enrico Foti, Rosaria Ester Musumeci","doi":"10.1038/s41598-025-95230-4","DOIUrl":"https://doi.org/10.1038/s41598-025-95230-4","url":null,"abstract":"<p><p>Nature-based Solutions (NbS) are increasingly recognized as effective measures for mitigating flood risks and enhancing climate change adaptation. However, evaluating their efficacy in delivering flood risk reduction ecosystem service (FRR-ESS) is usually limited by reliance on qualitative, expert-based \"quick-scan\" scoring methods. While already challenging for present-day evaluations, this limitation becomes even more significant when addressing future climate scenarios, introducing deep uncertainties in the evaluation. The present study introduces a model-based framework to quantify FRR-ESS provided by coastal NbS, which integrates expert-based assessments with quantitative results from an eco-hydro-morphodynamic numerical model. The model enables a comparative evaluation of individual and combined effects of NbS following a Building Blocks approach. By integrating habitat map change prediction in the evaluation, NbS flood reduction response to present and future storm scenarios (i.e. wave climate and sea level rise) are investigated. The methodology is applied to a Mediterranean coastal lagoon in Sicily (Italy), and can be easily adapted to diverse coastal ecosystems. Our findings underscore the significant role of coastal habitats in reducing flood risk and highlight the importance of integrating physically-based modelling into FRR-ESS evaluation. This approach provides a robust and flexible tool for policymakers and stakeholders to make informed decisions that support both ecological sustainability and disaster risk reduction.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"12070"},"PeriodicalIF":3.8,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neural insights on expert surgeons' mental workload during live robotic surgeries.","authors":"Chiho Lim, Marian Obuseh, Jackie Cha, James Steward, Chandru Sundaram, Denny Yu","doi":"10.1038/s41598-025-96064-w","DOIUrl":"https://doi.org/10.1038/s41598-025-96064-w","url":null,"abstract":"<p><p>Despite its adoption and benefits, robotic surgeries can impose additional mental workload on surgeons. Validated questionnaires mostly administered at the end of procedures may not accurately capture the dynamic nature of mental workload over an entire procedure. Hence, we sought to determine if electroencephalogram (EEG) based neural activities in different brain regions can measure variations in expert surgeons' mental workload intraoperatively. EEG data was collected from five different surgeons performing 13 robotic-assisted urological procedures. Data analysis focused on three surgery phases (before, critical, and after). After performing each phase, surgeons provided a rating of their perceived mental workload. A linear mixed effects model was applied to explore the impact of the study phases on the relative spectral band power of EEG signals. The relative theta band power in the frontal brain region was highest during the critical portions of the procedure (p < 0.05). As the subjective ratings increased, the relative frontal theta band power increased (p < 0.001) while the relative parietal alpha band power decreased across all phases. We show that EEG signals can distinguish intraoperative workload in robotic surgeries. This has several applications including predicting risk factors for increased case complexity and surgical education.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"12073"},"PeriodicalIF":3.8,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"RBM24 regulates apoptosis rates by modulating global transcriptome profile in CAL27 cells.","authors":"Jingjing Sun, Shuyuan Wang, Shumin Peng, Tingting Gao, Zhenjie Gao","doi":"10.1038/s41598-025-96932-5","DOIUrl":"https://doi.org/10.1038/s41598-025-96932-5","url":null,"abstract":"<p><p>RNA binding proteins (RBPs) are key factors regulating post-transcriptional events. Categorized as RBPs, RBM24 expression levels have been shown to be a prognosis-related pivotal gene in oral squamous cell carcinoma. We analyzed the binding targets and regulated post-transcriptional events of RBM24 in RBM24-overexpressing cell lines and controls using iRIP-seq and RNA-seq. RBM24-overexpressing cells showed significant changes in gene expression, which are involved in biological pathways related to apoptosis and immune inflammation. RBM24-regulated genes that undergo alternative splicing are primarily engaged in biological processes related to DNA damage repair and RNA metabolism. More notably, we found that RBM24 binds to lncRNAs in addition to pre-mRNAs. These results indicated that RBM24 could play a key role in cancer progression by finding clinical therapeutic targets for Oral squamous cell carcinoma.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"12069"},"PeriodicalIF":3.8,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Subclonal response heterogeneity to define cancer organoid therapeutic sensitivity.","authors":"Jeremy D Kratz, Shujah Rehman, Katherine A Johnson, Amani A Gillette, Aishwarya Sunil, Peter F Favreau, Cheri A Pasch, Devon Miller, Lucas C Zarling, Austin H Yeung, Linda Clipson, Samantha J Anderson, Alyssa K Steimle, Carley M Sprackling, Kayla K Lemmon, Daniel E Abbott, Mark E Burkard, Michael F Bassetti, Jens C Eickhoff, Eugene F Foley, Charles P Heise, Randall J Kimple, Elise H Lawson, Noelle K LoConte, Sam J Lubner, Daniel L Mulkerin, Kristina A Matkowskyj, Cristina B Sanger, Nataliya V Uboha, Sean J Mcilwain, Irene M Ong, Evie H Carchman, Melissa C Skala, Dustin A Deming","doi":"10.1038/s41598-025-96204-2","DOIUrl":"https://doi.org/10.1038/s41598-025-96204-2","url":null,"abstract":"<p><p>Tumor heterogeneity is predicted to confer inferior clinical outcomes with precision-based strategies, however, modeling heterogeneity in a manner that still represents the tumor of origin remains a formidable challenge. Sequencing technologies are limited in their ability to identify rare subclonal populations and predict response to treatments for patients. Patient-derived organotypic cultures have significantly improved the modeling of cancer biology by faithfully representing the molecular features of primary malignant tissues. Patient-derived cancer organoid (PCO) cultures contain subclonal populations with the potential to recapitulate heterogeneity, although treatment response assessments commonly ignore diversity in the molecular profile or treatment response. Here, we demonstrate the advantage of evaluating individual PCO heterogeneity to enhance the sensitivity of these assays for predicting clinical response. Additionally, organoid subcultures identify subclonal populations with altered treatment response. Finally, dose escalation studies of PCOs to targeted anti-EGFR therapy are utilized which reveal divergent pathway expression when compared to pretreatment cultures. Overall, these studies demonstrate the importance of population-based organoid response assessments, the use of PCOs to identify molecular heterogeneity not observed with bulk tumor sequencing, and PCO heterogeneity for understanding therapeutic resistance mechanisms.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"12072"},"PeriodicalIF":3.8,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The relationship between the triglyceride-glucose (TyG) index and all-cause mortality in ICU patients with primary hypertension: a retrospective study.","authors":"Jiacheng Ding, Jingqian Li, Xinyu Cai, Kai Zhang, Shi Yu, Keyan Liu, Maoxun Huang","doi":"10.1038/s41598-025-96202-4","DOIUrl":"https://doi.org/10.1038/s41598-025-96202-4","url":null,"abstract":"<p><p>Primary hypertension is the most common type of hypertension, with a complex and not fully understood pathogenesis. Insulin resistance (IR) is a metabolic abnormality that has been shown to be quite prevalent among patients with hypertension in existing literature. The triglyceride-glucose (TyG) index is a reliable indicator for assessing insulin resistance (IR). This study aims to evaluate the relationship between the TyG index at admission and all-cause mortality (ACM) in patients with severe primary hypertension, and to explore its role in predicting the future all-cause mortality risk in primary hypertension patients. This study employs a retrospective design to categorize all patients into four quartiles based on the TyG index. The Kaplan-Meier (K-M) method was utilized to estimate the survival curves for each group and to compare the survival outcomes across different quartiles. To assess the nonlinear relationship between the TyG index and prognosis, Cox proportional hazards regression models and restricted cubic splines (RCS) were applied, adjusting for potential confounders. Additionally, subgroup analyses were performed to conduct stratified analyses and interaction tests. Kaplan-Meier survival curve analysis showed that patients with higher TyG index levels had higher all-cause mortality rates at 30 days, 60 days, and 90 days post-admission. This indicates that a higher TyG index is associated with an increased risk of death in the short term. Additionally, multivariate Cox proportional hazards regression analysis revealed that an increased TyG index was significantly associated with all-cause mortality at 30 days, 60 days, and 90 days. Meanwhile, RCS analysis indicates that as the TyG index level increases, the hazard ratio (HR) shows a significant upward trend, suggesting a gradual increase in the risk of all-cause mortality. In summary, among patients with primary hypertension in the intensive care unit, elevated TyG levels are associated with an increased risk of short-term mortality.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"12071"},"PeriodicalIF":3.8,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genetic association between glucocorticoid receptor gene Bcl1 rs41423247 and rs6198 polymorphisms and risk of obesity in Egyptian children : By.","authors":"Nanees A Salem, Angi A Alwakeel, Mayada Abdel-Latif, Shaimaa R Hendawy, Mai S Korkor","doi":"10.1038/s41598-025-94447-7","DOIUrl":"https://doi.org/10.1038/s41598-025-94447-7","url":null,"abstract":"<p><p>Obesity represents a major global public-health problem during childhood and adolescence. The genetic contribution to obesity and its consequences is well-established. Variation in glucocorticoid (GC)-sensitivity can be partly explained by polymorphisms in GC receptor (GR) gene where NR3C1; Bcl1 rs41423247 and NR3C1 rs6198 single nucleotide polymorphisms (SNPs) have been linked to higher and lower GC sensitivity, respectively. We aimed to explore the potential association between the GR gene SNPs and risk of obesity in a cohort of Egyptian children. We included 100 pre-pubertal children; 60 obese children and 40 age-and sex-matched normal-weight controls. Bcl1 rs41423247 SNP was genotyped using PCR-restriction fragment length polymorphism technique and NR3C1 rs6198 SNP was genotyped using Real-time-PCR.In Bcl1 rs41423247, obese children had more frequent CG, GG genotypes and G allele compared to healthy controls (P = 0.039, 0.019 and 0.007 respectively). Moreover, insulin resistance was significantly higher in combined CG + GG group compared to CC group. On the contrary, no significant differences were found in genotypes, alleles frequencies or insulin resistance between obese and non-obese children in NR3C1 rs6198. GR Bcl1 rs41423247 gene polymorphism may play a role in genetic susceptibility to obesity that can be a future targeted therapy for obesity.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"12012"},"PeriodicalIF":3.8,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An artificial intelligence model for predicting an appropriate mAs with target exposure indicator for chest digital radiography.","authors":"Jia-Ru Lin, Tai-Yuan Chen, Yu-Syuan Liang, Jyun-Jie Li, Ming-Chung Chou","doi":"10.1038/s41598-025-96947-y","DOIUrl":"https://doi.org/10.1038/s41598-025-96947-y","url":null,"abstract":"<p><p>In digital radiography, image quality is synergistically affected by anatomy-specific examinations, exposure factors, body parameters, detector types, and vendors/systems. However, estimating appropriate exposure factors before radiography with optimized image quality without overexposure or underexposure to patients is difficult. Thus, there is an unmet need to establish a model to predict appropriate mAs for optimizing image quality before radiography. This study aimed to establish a machine learning (ML) model for predicting an appropriate current-time product (mAs) using the target exposure indicator in chest digital radiography. An anthropomorphic chest phantom was used to establish a target exposure indicator which was used to define overexposure and underexposure in the human study. This study enrolled 1,000 (M/F = 915/85) subjects who underwent regular chest radiography. The chest thickness, height, weight, body mass index, mAs, and concomitant reached exposure (REX) were recorded. To construct the prediction model, the dataset was randomly separated into training (80%) and testing (20%) sets by matching their demographic characteristics. Five ML models were trained using the training set with 10-fold cross validation, and the model performance was evaluated using the testing set with correlation coefficients, root-mean-square error, and mean average error. The phantom study showed that the average REX was 355.6 which served as the target exposure indicator. In human study, the comparisons showed that the artificial neural network (ANN) model was the most suitable for predicting both REX and mAs values. The results demonstrated that, on average, the predicted mAs values were 10% lower and 8% higher than the values determined by AEC in the overexposure (REX > 355.6) and underexposure (REX < 355.6) groups, respectively. Moreover, the predicted mAs values were further reduced in all patients when lowering the target REX values. We concluded that the ML approach was feasible for building an artificial intelligence model for predicting appropriate mAs with target exposure indicator for chest digital radiography.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11942"},"PeriodicalIF":3.8,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying a unique chromosomal pattern to predict the gemcitabine response in patients with cholangiocarcinoma.","authors":"Sutheemon Techa-Ay, Sasithorn Watcharadetwittaya, Raksawan Deenonpoe, Prakasit Sa-Ngiamwibool, Chanita Panwoon, Watcharin Loilome, Poramate Klanrit, Anchalee Techasen, Yaovalux Chamgramol, Manida Suksawat, Napat Armartmuntree, Thomas O'Connor, Hideyuki Saya, Malinee Thanee","doi":"10.1038/s41598-025-96442-4","DOIUrl":"https://doi.org/10.1038/s41598-025-96442-4","url":null,"abstract":"<p><p>Cholangiocarcinoma (CCA) is an epithelial bile duct cancer frequently found at an advanced stage, leading to poor response to current therapies. Although gemcitabine (GEM) and cisplatin (CIS) are the current gold-standard for treating unresectable CCA, GEM resistance often occurs. To predict the response to GEM, we evaluated chromosomal aberrations using a chromosome microarray, and their association with GEM response by histoculture drug response assay. Our findings revealed principal component analysis and orthogonal partial-least square discriminant analysis cross validated score plot between response and non-response groups were different. Different signature patterns of chromosomes between response and non-response groups analyzed by heatmap analysis identified 34 regions of 15 chromosomes. An increased signal in responders and a decreased signal in non-responders were found in regions 4q32.1, 5q12.3, 10q21.3, 11p11.2, 11q14.2, 16p11.2, 17q22, 21q21.3 and 22q12.3. In contrast, a high signal in non-responders and low signal in responders were seen in regions 2q37.2, 11q14.1, 16q22.3 and 16q23.3. High signal of CDH13 and TENM4 were demonstrated in GEM non-response, while a high CWC27 signal was noted in GEM response. This signature pattern could provide the knowledge to improve a predictive biomarker for GEM response, benefitting for individual CCA patient management and chemotherapeutic selection.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"11984"},"PeriodicalIF":3.8,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Molecule subtypes play important roles for second primary malignancies development based on 324,661 breast cancer survivors.","authors":"Jin Shi, Jian Liu, Guo Tian, Daojuan Li, Di Liang, Yutong He","doi":"10.1038/s41598-025-96716-x","DOIUrl":"https://doi.org/10.1038/s41598-025-96716-x","url":null,"abstract":"<p><p>The incidence trend of breast molecule subtypes was unclear. There was not quantified risk by subtype with the second primary malignancies (SPMs) and limited evidence about the risk factors for developing SPMs in first primary breast cancer(FPBC). Data from 18 SEER registries were used to identify FPBC, which were randomly selected for training and validation sets. The SPMs information of breast cancer survivors in Hebei were also collected to compare the distribution with SEER. Univariate and multivariate analysis were performed to explore the risk factors and integrated to the establishment of nomogram and risk stratification model. There was a decreased trend for TNBC, but an increased trend for Luminal A. The median survival months were 46, 46, 46 and 44 for Luminal A, Luminal B, HER2 enriched and TNBC, with the median latency time were 39, 39, 40 and 41.0 months, respecitvely, The cumulative incidence rates(CIR) of SPMs were 2.61%, 2.30%, 2.21% and 2.84%. Age at diagnosis, clinical lymph node status, radiotherapy and subtypes were independent risk factors for SPMs. A predict nomogram was established with the AUC of 0.682 and 0.679 for three- and five- year incidence risk in training set. Patients were divided into the low-risk (31.94%), intermediate-risk (51.83%) and high-risk (16.23%) groups by risk stratification model. The first common SPMs was second breast cancer in both SEER and Hebei cohort, the second and third rank SPMs were lung and gynecological cancer in SEER, but presented the opposite result in Hebei. The incidence rates and SPMs of subtypes were difference. The high risk individuals could be identified by risk stratification model, who need more closely followed up by Clinicians.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"12018"},"PeriodicalIF":3.8,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transcriptomic characterization of human pancreatic CD206- and CD206 + macrophages.","authors":"Alexander Jonsson, Olle Korsgren, Anders Hedin","doi":"10.1038/s41598-025-96313-y","DOIUrl":"https://doi.org/10.1038/s41598-025-96313-y","url":null,"abstract":"<p><p>Macrophages reside in all organs and participate in homeostatic- and immune regulative processes. Little is known about pancreatic macrophage gene expression. In the present study, global gene expression was characterized in human pancreatic macrophage subpopulations. CD206- and CD206 + macrophages were sorted separately from pancreatic islets and exocrine tissue to high purity using flow cytometry, followed by RNA-seq analysis. Comparing CD206- with CD206 + macrophages, CD206- showed enrichment in histones, proliferation and cell cycle regulation, glycolysis and SPP1-associated immunosuppressive polarization while CD206 + showed enrichment in complement and coagulation-, IL-10 and IL-2RA immune regulation, as well as scavenging-related gene sets. Comparing islet CD206- with exocrine CD206-, enrichments in islet samples included two sets involved in immune regulation, while enrichments in exocrine samples included sets related to extracellular matrix and immune activation. Fewer differences were found between CD206 + macrophages, with enrichments in islet samples including two IL2-RA related gene sets, while enrichments in exocrine samples included sets related to extracellular matrix and immune activation. Comparing macrophages between individuals with normoglycemia, elevated HbA1c or type 2 diabetes, only a few diverse differentially expressed genes were identified. This work characterizes global gene expression and identifies differences between CD206- and CD206 + macrophage populations within the human pancreas.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"15 1","pages":"12037"},"PeriodicalIF":3.8,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}