bluuebunny/crossref_metadata_2025_split huggingface dataset:
Systematic review and co‐ordinate based meta‐analysis to summarize the utilization of functional brain imaging in conjunction with human models of peripheral and central sensitization
Authors: Clarke Sophie , Rogers Richard , Wanigasekera Vishvarani , Fardo Francesca , Pia Hossein , Nochi Zahra , Macian Nicolas , Leray Vincent , Finnerup Nanna Brix , Pickering Gisèle , Mouraux André , Truini Andrea , Treede Rolf‐Detlef , Garcia‐Larrea Luis , Tracey Irene 
Published: February 2024

AbstractBackground and ObjectiveFunctional magnetic resonance imaging, in conjunction with models of peripheral and/or central sensitization, has been used to assess analgesic efficacy in healthy humans. This review aims to summarize the use of these techniques to characterize brain mechanisms of hyperalgesia/allodynia and to evaluate the efficacy of analgesics.Databases and Data TreatmentSearches were performed (PubMed‐Medline, Cochrane, Web of Science and Clinicaltrials.gov) to identify and review studies. A co‐ordinate based meta‐analysis (CBMA) was conducted to quantify neural activity that was reported across multiple independent studies in the hyperalgesic condition compared to control, using GingerALE software.ResultsOf 217 publications, 30 studies met the inclusion criteria. They studied nine different models of hyperalgesia/allodynia assessed in the primary (14) or secondary hyperalgesia zone (16). Twenty‐three studies focused on neural correlates of hyperalgesic conditions and showed consistent changes in the somatosensory cortex, prefrontal cortices, insular cortex, anterior cingulate cortex, thalamus and brainstem. The CBMA on 12 studies that reported activation coordinates for a contrast comparing the hyperalgesic state to control produced six activation clusters (significant at false discovery rate of 0.05) with more peaks for secondary (17.7) than primary zones (7.3). Seven studies showed modulation of brain activity by analgesics in five of the clusters but also in four additional regions.ConclusionsThis meta‐analysis revealed substantial but incomplete overlap between brain areas related to neural mechanisms of hyperalgesia and those reflecting the efficacy of analgesic drugs. Studies testing in the secondary zone were more sensitive to evaluate analgesic efficacy on central sensitization at brainstem or thalamocortical levels.SignificanceExperimental pain models that provide a surrogate for features of pathological pain conditions in healthy humans and functional imaging techniques are both highly valuable research tools. This review shows that when used together, they provide a wealth of information about brain activity during pain states and analgesia. These tools are promising candidates to help bridge the gap between animal and human studies, to improve translatability and provide opportunities for identification of new targets for back‐translation to animal studies.
The effect of composite materials interfacial discontinuities on the impact safety of future composite rail vehicles
Authors: Xue Xiangdong , Robinson Mark , Zhang Wei 
Published: February 2024

AbstractIn contrast to single‐phase materials the manufacturing process of composites creates multiscale interfaces among constituent materials and between laminar multilayers. Targeting the interfaces in these composite structures, this paper presents a perspective study on the impact safety of potential future composite rail vehicles. The aim is to conceptually explore the key role of interfacial discontinuities of composite material structures as they are a critical issue affecting the impact performance of future composite rail vehicles. Following a theoretical description, the issues are addressed in two parts. First, composite materials are characteristically analyzed from the perspective of their interfacial discontinuities within the materials and between the laminate multilayers to identify their influence. Second, the structural conditions required for crashworthiness are determined in relation to the dual requirements of global stability and local deformability for efficient energy absorption. The key findings are: (1) The interfacial discontinuities of the material phases and the designed structural assemblies need to be tailored for crashworthiness performance and (2) Global stability and locally deformability are the key dual requirements for the energy absorbing progressive deformations that are essential for application of composite for crashworthiness of rail vehicles. The research conceptually explores a key issue of the impact mechanics of composite structures from the perspective of impact safety of composite rail vehicles.
Epithelioid hemangioendothelioma (EHE) with WWTR1::TFE3 gene fusion, a novel fusion variant
Authors: Li Shuo , Dermawan Josephine K. , Seavey Caleb N. , Ma Shuang , Antonescu Cristina R. , Rubin Brian P. 
Published: February 2024

AbstractEpithelioid hemangioendothelioma (EHE) is a rare endothelial sarcoma associated with a high incidence of metastases and for which there are no standard treatment options. Based on disease‐defining mutations, most EHEs are classified into two subtypes: WWTR1::CAMTA1‐fused EHE or YAP1::TFE3‐fused EHE. However, rare non‐canonical fusions have been identified in clinical samples of EHE cases and are challenging to classify. In this study, we report the identification of a novel WWTR1::TFE3 fusion variant in an EHE patient using targeted RNA sequencing. Histologically, the tumor exhibited hybrid morphological characteristics between WWTR1::CAMTA1‐fused EHE and YAP1::TFE3‐fused EHE. In addition to the driver fusion, there were six additional secondary mutations identified, including a loss‐of‐function FANCA mutation. Furthermore, in vitro studies were conducted to investigate the tumorigenic function of the WWTR1::TFE3 fusion protein in NIH3T3 cells and demonstrated that WWTR1::TFE3 promotes colony formation in soft agar. Finally, as the wild‐type WWTR1 protein relies on binding the TEAD family of transcription factors to affect gene transcription, mutation of the WWTR1 domain of the fusion protein to inhibit such binding abrogates the transformative effect of WWTR1::TFE3. Overall, we describe a novel gene fusion in EHE with a hybrid histological appearance between the two major genetic subtypes of EHE. Further cases of this very rare subtype of EHE will need to be identified to fully elucidate the clinical and pathological characteristics of this unusual subtype of EHE.
Robust use of phenotypic heterogeneity at drug target genes for mechanistic insights: Application of cis‐multivariable Mendelian randomization to GLP1R gene region
Authors: Patel Ashish , Gill Dipender , Shungin Dmitry , Mantzoros Christos S. , Knudsen Lotte Bjerre , Bowden Jack , Burgess Stephen 
Published: February 2024

AbstractPhenotypic heterogeneity at genomic loci encoding drug targets can be exploited by multivariable Mendelian randomization to provide insight into the pathways by which pharmacological interventions may affect disease risk. However, statistical inference in such investigations may be poor if overdispersion heterogeneity in measured genetic associations is unaccounted for. In this work, we first develop conditional F statistics for dimension‐reduced genetic associations that enable more accurate measurement of phenotypic heterogeneity. We then develop a novel extension for two‐sample multivariable Mendelian randomization that accounts for overdispersion heterogeneity in dimension‐reduced genetic associations. Our empirical focus is to use genetic variants in the GLP1R gene region to understand the mechanism by which GLP1R agonism affects coronary artery disease (CAD) risk. Colocalization analyses indicate that distinct variants in the GLP1R gene region are associated with body mass index and type 2 diabetes (T2D). Multivariable Mendelian randomization analyses that were corrected for overdispersion heterogeneity suggest that bodyweight lowering rather than T2D liability lowering effects of GLP1R agonism are more likely contributing to reduced CAD risk. Tissue‐specific analyses prioritized brain tissue as the most likely to be relevant for CAD risk, of the tissues considered. We hope the multivariable Mendelian randomization approach illustrated here is widely applicable to better understand mechanisms linking drug targets to diseases outcomes, and hence to guide drug development efforts.
Cortical mapping of callosal connections in healthy young adults
Authors: Xiong Yirong , Yang Liyuan , Wang Changtong , Zhao Chenxi , Luo Junhao , Wu Di , Ouyang Yiping , Thiebaut de Schotten Michel , Gong Gaolang 
Published: February 2024

AbstractThe corpus callosum (CC) is the principal white matter bundle supporting communication between the two brain hemispheres. Despite its importance, a comprehensive mapping of callosal connections is still lacking. Here, we constructed the first bidirectional population‐based callosal connectional atlas between the midsagittal section of the CC and the cerebral cortex of the human brain by means of diffusion‐weighted imaging tractography. The estimated connectional topographic maps within this atlas have the most fine‐grained spatial resolution, demonstrate histological validity, and were reproducible in two independent samples. This new resource, a complete and comprehensive atlas, will facilitate the investigation of interhemispheric communication and come with a user‐friendly companion online tool (CCmapping) for easy access and visualization of the atlas.
Development of a novel senescence‐related gene signature to predict clinical outcomes, immune landscape, and chemotherapeutic sensitivity in oral squamous cell carcinoma
Authors: Wang An , Xiao Na , Wang Hong , Yao Qin , Li Jin , Wu Yaping , Ge Han , Diao Pengfei 
Published: February 2024

AbstractBackgroundCellular senescence significantly associates with tumor initiation, progression, and therapeutic response across multiple cancers. Here, we sought to develop a novel senescence‐related genes (SRGs)‐derived signature for oral squamous cell carcinoma (OSCC) prognostication and therapeutic response prediction.MethodsOSCC‐specific SRG prognostic signature was established with univariate Cox regression, Kaplan–Meier survival, and LASSO‐penalized multivariate Cox regression analyses. A SRG nomogram integrating this signature and selected clinicopathological parameters were constructed by multivariate Cox regression. SiRNA‐mediated gene knockdown was exploited to validate its function in vitro. The utilities of SRG signature in predicting immune status and chemotherapeutic sensitivities were analyzed.ResultsThe prognostic performance of SRG signature/nomogram was satisfactory in multiple independent cohorts. CDK1 knockdown induced senescence phenotype in vitro. Moreover, SRG signature scores negatively correlated with tumor‐infiltrating immune cells and associated with multiple chemotherapeutic drug sensitivities.ConclusionsOur results established SRG‐derived signature/nomogram as powerful predictors for prognosis and chemotherapeutic response for OSCC.
A dynamic system‐based model for analyzing human factors: Enhanced AcciMap with spherical fuzzy dynamic Bayesian network approach
Authors: Tohidizadeh Kosar , Zarei Esmaeil , Ghalenoei Mehran , Yazdi Mohammad , Kolivand Kamran 
Published: February 2024

AbstractIn today's interconnected global economy, maritime trade is a pillar of prosperity, yet maritime accidents loom as a formidable challenge. The intricate nature of these accidents, coupled with rapid technological advancements, necessitates the evolution of systematic analysis methods. Conventional systemic approaches, while valuable, struggle to encapsulate the intricate web of mutual and dynamic dependencies inherent in these incidents. Furthermore, the call for more quantitative support in decision‐making and the ability to account for emergent factors has become increasingly imperative. This study aims to analyze maritime accidents by introducing a quantitative and dynamic model. The endeavour begins with establishing an extended Accident Map‐based model, a robust framework that unveils a sophisticated accident causation model. This preliminary action establishes the groundwork for integrating an innovative Spherical Fuzzy Set, navigating the complex landscape of knowledge acquisition. The subsequent phase charts a transformative course by mapping the model onto a dynamic Bayesian Network to conduct a forward and backward analysis. The essence of the model lies in its dynamic nature, allowing for real‐time updates that reflect the evolving maritime accidents risk factors. The approach is validated through a partial benchmark exercise, a reality check, an independent peer review, and a sensitivity analysis. The model can explore emerging contributing factors, reduce uncertainty, and consider relationships between factors that yield designing more effective safety measures.
Factors disrupting the continuity of care for patients with chronic disease during the pandemics: A systematic review
Authors: Ghanbari‐Jahromi Mohadeseh , Kharazmi Erfan , Bastani Peivand , Shams Mesbah , Marzaleh Milad Ahmadi , Amin Bahrami Mohammad 
Published: February 2024

AbstractBackground and AimsContinuous routine care is necessary to prevent long‐term complications of chronic diseases and improve patients' health conditions. This review study was conducted to determine the factors disrupting continuity of care for patients with chronic diseases during the pandemic.MethodsAll original articles published on factors disrupting continuity of care for patients with chronic disease during a pandemic between December 2019 and June 28, 2023, in PubMed, Web of Science, Scopus, and ProQuest databases were searched. Selection of articles, data extraction, and qualitative evaluation of articles (through STROBE and COREQ checklist) were done by two researchers separately. Data graphing form was used to extract the data of each study and then the data were classified by thematic analysis method.ResultsOut of 1708 articles reviewed from the databases, 22 were included. The factors disrupting the continuity of care for patients with chronic diseases during the epidemics were classified into two main categories: patient‐side factors and health system‐side factors. Patient‐side factors including psychological, individual and social, disease‐related, and health system‐side factors including provider access, health system institutional, and infrastructural and financial problems were among the subcategories disrupting the continuity of care for patients with chronic diseases during the pandemic. Based on the studies, psychological factors and access to the provider were among the most frequent factors affecting the continuity of care for patients with chronic diseases in the pandemic.ConclusionConsidering the factors disrupting the continuity of care and applying appropriate interventions based on them, can guarantee the continuity of providing services to chronic patients in health crises.
Environmental pollution and health in Chilean older adults: Impact on quality of life and functional autonomy
Authors: Huerta Ojeda Álvaro , Jofré‐Saldía Emilio , Barahona‐Fuentes Guillermo , Yeomans‐Cabrera María‐Mercedes , Bravo Maximiliano 
Published: February 2024

AbstractBackground and AimsDue to increased urbanization and industry, environmental pollution is a serious public health concern. Globally, the quality of life is particularly lowered by exposure to high amounts of particulate matter (PM). Chile has five industrial zones with high pollution levels, called “sacrifice zones.” However, the effect of polluted air on the quality of life and functional autonomy (FA) of older people living in industrial zones with high pollution levels is unknown. Therefore, this study aimed to determine the quality of life and FA differences between Chilean older women (OW) living in areas with lower and higher PM levels.Materials and MethodsSeventy‐two OW volunteered for this study. The sample was divided into Zone 1 (PM2.5 ≤ 15 µg/m3, n = 36) and Zone 2 (PM2.5 > 15 µg/m3, n = 36). The variables were quality of life—assessed through the SF‐36v2.0 questionnaire, and FA—assessed through the GDLAM protocols. Differences between zones were tested by Student's t‐test and Mann–Whitney test, both for independent samples (p < 0.05).ResultsAll eight dimensions of quality of life were lower in Zone 2, of which the role emotional (RE) showed significant differences between zones (p < 0.05). Performance on the GDLAM protocols and the FA index were lower in Zone 2 (p ˃ 0.05).ConclusionOW in Zone 2 showed lower quality of life and FA. PM could affect the older population's physical and mental health and, therefore, the quality of life.
Investigating medical student's attitudes about road accident risks: A cross‐sectional study
Authors: Shahraki‐Sanavi Fariba , Tabatabaei Seyed Mohammad Nasiraldin 
Published: February 2024

AbstractBackground and AimsGiven that unsafe human actions are the main cause of accidents, it is essential to comprehend the attitudes of medical students toward the risks of road accidents, particularly given their potential influence as future healthcare professionals. Therefore, this study was carried out to investigate the attitudes of medical students towards road accidents.MethodsThis cross‐sectional study was conducted on 300 Zahedan University of Medical Sciences students in 2021 as available sampling. The required information was collected using a researcher‐made questionnaire with a content validity ratio of 0.9, a content validity index of 0.9–0.8, and a reliability (α) of 0.79, which was presented online in the university systems. Statistical analysis was done using SPSS 23 software, data description was done as frequency and percentage, and analytical analysis was done with the χ2 test.ResultsThe average age of the participants was 21.7 (4.2) years; 45.7% of the participants were male and 11.3% were married; 79.7% had less than 300 km of driving experience; 76% had less than 3 years since receiving their license; 14% stated that they drive faster than others; 18.3% reported a history of fines; and 28.3% reported an accident history. The most incorrect attitudes of students regarding low‐risk using mobile phones (86%), text sending (84.3%), eating and drinking while driving (74.6%), driving after consuming alcohol or drugs (73%), and driving when tired and sleepy (85.4%) were reported.ConclusionBased on the results, it is suggested to plan to correct wrong attitudes, especially among young and educated drivers, through education and culture, so that we can move in the direction of reducing accidents.
Polymerized cyclodextrin microparticles for sustained antibiotic delivery in lung infections
Authors: Bonfield Tracey L. , Zuckerman Sean T. , Sutton Morgan T. , Korley Julius N. , von Recum Horst A. 
Published: February 2024

AbstractPulmonary infections complicate chronic lung diseases requiring attention to both the pathophysiology and complexity associated with infection management. Patients with cystic fibrosis (CF) struggle with continuous bouts of pulmonary infections, contributing to lung destruction and eventual mortality. Additionally, CF patients struggle with airways that are highly viscous, with accumulated mucus creating optimal environments for bacteria colonization. The unique physiology and altered airway environment provide an ideal niche for bacteria to change their phenotype often becoming resistant to current treatments. Colonization with multiple pathogens at the same time further complicate treatment algorithms, requiring drug combinations that can challenge CF patient tolerance to treatment. The goal of this research initiative was to explore the utilization of a microparticle antibiotic delivery system, which could provide localized and sustained antibiotic dosing. The outcome of this work demonstrates the feasibility of providing efficient localized delivery of antibiotics to manage infection using both preclinical in vitro and in vivo CF infection models. The studies outlined in this manuscript demonstrate the proof‐of‐concept and unique capacity of polymerized cyclodextrin microparticles to provide site‐directed management of pulmonary infections.
Thiocarbamoyl sulfamic acid‐derived mesoporous silica: a comprehensive study on selective adsorption of cobalt and lithium from spent lithium‐ion batteries
Authors: Younis Huda M 
Published: February 2024

AbstractBACKGROUNDThe recycling of spent lithium‐ion batteries (LIBs) is crucial for resource conservation and environmental sustainability, particularly due to the valuable metals they contain, such as cobalt and lithium. This study focuses on developing an ion‐exchange method for cobalt recovery from waste LIB solutions, using a mesoporous silica derivative of carbamoyl sulfamic acid (PST‐SA) as the adsorbent.RESULTSThe batch method for adsorption experiments identified the most effective conditions: a pH of 8, 0.08 g PST‐SA, and a shaking time of 60 min, at room temperature. These experiments demonstrated a remarkable cobalt uptake capacity of 270.70 mg g−1, highlighting PST‐SA's exceptional adsorption capabilities. Additionally, thermodynamic studies revealed the adsorption process to be both endothermic and spontaneous, enhancing our understanding of its chemically reactive mechanisms.CONCLUSIONSThe practical application of PST‐SA, particularly when processing spent LIBs, showcases its real‐world utility. The efficient separation of cobaltous oxalate and lithium phosphate into pure forms emphasizes PST‐SA's potential in recycling and resource recovery. Given its cost‐effectiveness and strong adsorption capacity, PST‐SA stands out as an excellent solution for the removal of Co(II) from discarded LIBs, promoting sustainable material recovery practices. © 2024 Society of Chemical Industry (SCI).