bluuebunny/crossref_metadata_2025_split huggingface dataset:
Extracellular vesicle-derived lncRNA-GC1 serves as a novel biomarker for predicting and monitoring the immunotherapeutic outcomes of patients with gastric cancer
Authors: Wei Jiangpeng , Wang Xinxin , Dong Danhong , Ru Yi , Chen Lubin , Cheng Xin , Ji Gang , Lv Xiaohui , Guo Xin 
Published: October 2024

Abstract

Background
Efforts to predict the outcomes of patients with gastric cancer (GC) following immune checkpoint inhibitor (ICI) treatments remain limited, owing to a lack of reliable biomarkers. Studies have found that extracellular vesicle (EV)-derived lncRNA-GC1 may serve as a GC-specific biomarker. This study was designed to expand on these previous results by estimating the usefulness of EV-derived lncRNA-GC1 as a predictive indicator for patients with GC who undergo ICI treatments.
Methods
EV-derived lncRNA-GC1 levels were measured using quantitative polymerase chain reaction (qPCR) in patients with unresectable or metastatic GC who were receiving ICI treatments. Correlations between this biomarker and ICI treatment outcomes were analyzed in a training cohort (n = 136), three external validation cohorts (n = 188, n = 214, and n = 30), and one prospective cohort (n = 192).
Results
Circulating EVs exhibited a lncRNA-GC1 expression profile that was distinct from that of tissues or circulating cells. EV-derived lncRNA-GC1 levels were found to be independent of PD-L1 expression status or the density of CD8+ T cell infiltration. EV-derived lncRNA-GC1 could be used to effectively predict ICI-related patient outcomes, and could be used for dynamic monitoring throughout treatments. Lower levels of EV-derived lncRNA-GC1 were associated with tumor microenvironmental characteristics such as more robust antitumor immunity—including higher levels of activated CD8+ T/NK cells and an increased TH1/TH2 ratio. Such biomarkers can be stably detected in clinical practice. These results were consistent in both the two external validation cohorts and the one prospective cohort.
Conclusion
EV-derived lncRNA-GC1 can be used to reliably predict immunotherapeutic outcomes in patients with GC who undergo ICI treatments, suggesting that targeted analyses of this lncRNA may be useful for guiding treatment planning, monitoring, and associated decision-making processes.
Superior Vena Cava obstruction following pericardial effusion reduction in the presence of a pericardial teratoma: a case report
Authors: Guo Kai , Wang Hui 
Published: October 2024

Abstract

Intrapericardial teratoma is a rare tumor that usually presents in neonates or during infancy because of the associated high degree of pericardial effusion, cardiac compression and severe respiratory distress. In this paper, we report a rare case of intrapericardial teratoma that was incidentally discovered in an infant with superior vena cava obstruction following pericardial effusion reduction. Echocardiography and thoracic computed tomography angiography revealed that the intrapericardial mass obviously suppressed the superior vena cava. The tumor was resected surgically. Histopathological examination confirmed the diagnosis of mature teratoma.
Case report: Genotype analysis of a patient with bronchiectasis infected by a rare strain of Pseudomonas aeruginosa
Authors: Wang Xiaoqiong , Yan Xingya , Wang Xiaoxia , Xu Chuchu , Wang Xi , Yin Xiaona , Zhang Ting , Du Fangbing , Xie Yanghu , Wang Yongsheng 
Published: October 2024

Abstract

Background Pseudomonas aeruginosa
(PA) is the most common pathogen in patients with bronchiectasis. Its structural changes and recurrent infections pose significant challenges and difficulties for clinical treatment. Despite extensive study, the resistance mechanisms remain elusive.
Case presentation
We report a patient with bronchiectasis who suffered from dyspnea and was hospitalized for years, but the pathogen was never detected on routine sputum cultures and his symptoms could not be controlled. Our team collected bronchoalveolar lavage fluid (BALF) and identified the pathogen as PA through nanopore sequencing. The BALF was incubated on 5% CO2 blood agar for 48 hours, producing only sparse colonies with slow growth. Whole genome analysis of the bacterium identified the genotype as ST270, which is rarely reported both domestically and internationally. Non-functional mutations in the PilI and ChpA genes of this strain caused slow growth, making cultivation difficult. Additionally, the overexpression of the AmpD and LysR genes, along with mutations in the regulatory genes AmiD, DacC, and DacB, resulted in multi-drug resistance in the strain, complicating treatment.
Conclusion
This case report, through whole-genome sequencing, comprehensively elucidates the resistance mechanisms of Pseudomonas aeruginosa and discovers a rare genotype, providing a deep and innovative approach to the study.
Better than expected performance effect depends on the spatial location of visual stimulus
Authors: Majidpour Soodeh , Sanayei Mehdi , Zabbah Sajjad , Ebrahimpour Reza 
Published: October 2024

Abstract

The process of perceptual decision-making in the real world involves aggregation of pieces of evidence into a final choice. The visual evidence is usually presented in different pieces, distributed along time and space. We wondered whether by adding variation in the location of the receiving information, subjects showed differences in how they integrated visual information. Seven participants viewed two pulses of random dots motion stimulus, separated by time gaps and in different areas of the visual field. Our findings suggest that subjects accumulate discontinuous information (over space or time), not in the same way as when they are presented continuously, at the same location or with no gaps between them. These findings indicate that the discontinuity of evidence impacts the process of evidence integration in a manner more nuanced than presumed by the theory positing the perfect integration of evidence.
Implementation strategies to improve adoption of unmet social needs screening and referrals in care management using enabling technologies: study protocol for a cluster randomized trial
Authors: Cook Nicole , Gunn Rose , McGrath Brenda M. , Donovan Jenna , Pisciotta Maura , Owens-Jasey Constance , Fein Hannah L. , Templeton Anna , Larson Zoe , Gold Rachel 
Published: October 2024

Abstract

Background
Adverse social determinants of health contribute to health inequities. Practice guidelines now recommend incorporating patient unmet social needs into patient care, and payors increasingly reimburse for screening and providing related referrals to community organizations. Emergent electronic health record (EHR)-based tools can enable clinical-community linkages, but their adoption commonly faces workflow and infrastructure barriers. Targeted implementation support such as training, championship, practice facilitation, and audit and feedback, can enhance such tools’ adoption, but no prior research has assessed such strategies’ impact on the adoption of ‘enabling technologies’ supporting clinical-community linkages. This study will test whether providing targeted implementation support to safety-net primary care health center care management teams improves the sustained adoption of EHR-based enabling technologies used to 1) screen for social needs and 2) link patients to community organizations.
Methods
Formative evaluation of barriers and facilitators to adopting EHR-enabled social needs referrals and ascertainment of services received will include semi-structured interviews and a ‘guided tour’ of enabling technology used by care managers serving patients with complex health and/or social needs. A modified Delphi process conducted with care management staff and subject matter experts will then inform the development of an intervention targeting adoption of social risk EHR-enabled tools. The intervention will be piloted in three health centers, refined, then tested in a pragmatic stepped-wedge cluster-randomized trial in 20 health centers (five wedges of four health centers) that provide care management to high-risk patients with social needs.
Discussion
This study is among the first to evaluate an intervention designed to support care management teams’ adoption of enabling technologies to increase clinical-community linkages. It was funded in September 2023 by the National Institute of Nursing Research. Formative activities will take place from January to June 2024, the intervention will be developed in July-December 2024, the pilot study will be conducted from January-March 2025, and the cluster-randomized trial will occur from July 2025 -September 2026. Study data will be analyzed and results disseminated in 2027–2028. Study results have the potential to improve clinical-community linkages and in so doing to advance health equity.
Trial registration
Clinicaltrials.gov registration # NCT06489002. Registered July 5, 2024, https//clinicaltrials.gov/study/NCT06489002?term=NCT06489002&rank=1
Mode of Social Contact, Verbal Communication of Emotion, and Well-Being in Late Life
Authors: Zhang Shiyang , Gao Sibo , Fingerman Karen 
Published: October 2024

Abstract

Older adults prioritize emotions in their relationships, but communication of emotion may differ by in-person and phone contact. Older adults (N = 266, aged 65–90) completed ecological momentary assessments (EMA; n = 4,627) reporting their modes of social contact and positive and negative mood every 3 hours. Participants wore a device with the Electronically Activated Recorder (EAR) app which recorded 30 seconds every 7 minutes (n = 104,746 sound files). Linguistic Inquiry and Word Count (LIWC) extracted linguistic features reflecting verbal communication of emotions from the sound file transcriptions. Multilevel models revealed that both in-person and phone contact were associated with communicating more positive emotions, yet only in-person contact was associated with communicating more negative emotions. Communicating positive emotions was associated with more positive mood and less negative mood, regardless of mode of contact. Participants who had less in-person contact on average experienced a greater increase in positive mood when they communicated positive emotions. This study emphasizes the emotional benefits of social contact, particularly in enhancing positive mood through communicating positive feelings. Findings highlight the unique role of in-person contact in older adults’ daily lives allowing verbal communication of negative emotions not evident via phone contact.
Enhancing Traffic Safety with Advanced Machine Learning Techniques and Intelligent Identification
Authors: MALLAHI Imad EL , RIFFI Jamal , TAIRI Hamid , MAHRAZ Mohamed Adnane 
Published: October 2024

Abstract

Urban traffic safety is a critical concern due to the frequent lane changes and merges that create complex traffic flow patterns. Traditional methods, such as overhead video recordings, are commonly used to study these zones, but they come with high costs and limitations due to environmental factors like lighting and weather conditions. This work addresses the critical challenges in diversion and merging zones for urban traffic safety, with the primary objective of comprehensively tracking and identifying vehicles from video or image data. The process begins with generating traffic data using the SUMO (Simulation of Urban MObility) platform, which creates a simulated environment for urban traffic within synthetic road networks, taking into account traffic rules, signals, and other relevant factors. The generated data includes vital information such as vehicle IDs, coordinates, speeds, and road segments, providing a detailed representation of traffic dynamics. The next step involves utilizing the yolov8-deepsort framework to analyze driving behavior by accurately tracking and identifying vehicles in the simulated environment. This is followed by real-time risk assessments and the enhancement of traffic safety management. For conflict identification, CatBoost is employed due to its robustness and efficiency. To optimize model performance, CatBoost is further refined using Bayesian Optimization (CatBoost-BO), which fine-tunes the model's hyperparameters. Additionally, SMOTE is applied to address sample imbalance, resulting in a more balanced and accurate model. The model's performance is rigorously evaluated using metrics such as the confusion matrix, accuracy, recall, F1 score, and AUC-ROC, ensuring a comprehensive assessment. Furthermore, SHAP values are used to interpret the model, offering valuable insights into the factors contributing to safety risks. This interpretability is crucial for understanding and mitigating traffic conflicts. The study presents a practical and effective approach to improving urban traffic safety through advanced data analysis and machine learning techniques.
WITHDRAWN: Identifying diagnostic markers and constructing a prognostic model for pancreatic cancer based on microarray and bioinformatic analysis
Authors: Zhang Liqun , Liu Chang , Qian Dan , Tian Ye , Yang Ying , Li MengLu , You YiQin 
Published: October 2024

Abstract

Pancreatic cancer (PC) is one of the leading causes of cancer-related death worldwide. The lack of effective diagnostic biomarkers and therapeutic targets makes PC difficult to screen and treat. The aim of this study was to develop a diagnostic and survival-related gene signature for PC to construct a prognostic model. An Arraystar RNA microarray was used to identify differentially expressed genes (DEGs) in clinical plasma samples between the PC group and the control group. We performed weighted gene co-expression network analysis (WGCNA) to identify significant modules of DEGs in the Gene Expression Omnibus (GEO) cohort and to obtain potential diagnostic hub genes by intersecting the significant module genes with microarray-derived messenger RNA (mRNA). In addition, survival analysis and univariate and multivariate Cox regression analyses were performed on the hub genes to construct a prognostic model. Our microarray data revealed 228 significantly upregulated mRNA in the PC group compared with the control group. Moreover, we identified 5 feature mRNA (FERMT1, S100A14, KCNN4, PKM, and ITGA3) with good diagnostic performance. According to survival analysis based on The Cancer Genome Atlas (TCGA) dataset, higher expression of the hub genes was related to a poorer survival rate in patients with PC. Univariate and multivariate Cox proportional hazard analyses revealed that the expression of FERMT1, S100A14, and ITGA3 was anindependent risk factor for poor prognosis. Our results revealed the potential biomarkers for the prediction of PC prognosis in addition to clinicopathological factors. Moreover, this study provides new insights into the molecular mechanisms of PC.
Parallel Mediators between Resilience, Mindfulness and Social Connectedness: Entrapment and Intolerance of Uncertainty
Authors: Akyıl Yusuf , Akçıl Süleyman , Erdinç Beste 
Published: October 2024

Abstract

Background In response to challenging life circumstances, individuals may exhibit a range of reactions, from feeling trapped and intolerant of uncertainty to experiencing negative psychological outcomes or demonstrating resilience. Those who lack mindfulness and social connectedness often struggle more significantly with these challenges. The purpose of this study was to investigate whether intolerance of uncertainty and feelings of entrapment mediate the relationship between mindfulness, social connectedness, and psychological resilience. This is the first study to explore these specific relationships.Methods The study involved 351 participants, consisting of 54 males and 297 females, who voluntarily provided data. Structural Equation Modeling (SEM) was utilized to perform mediation analysis and examine the complex relationships between the variables.Results The findings revealed that both intolerance of uncertainty and feelings of entrapment serve as parallel mediators in the relationship between mindfulness, social connectedness, and psychological resilience. Specifically, mindfulness and social connectedness were found to negatively predict intolerance of uncertainty and feelings of entrapment. In turn, higher levels of intolerance of uncertainty and entrapment were associated with lower levels of psychological resilience. These results suggest that individuals who are more mindful and socially connected tend to exhibit greater resilience by being less susceptible to uncertainty and feelings of entrapment.Conclusions This study highlights the critical roles of mindfulness and social connectedness in fostering psychological resilience, particularly by reducing intolerance of uncertainty and feelings of entrapment. These findings have important implications for developing interventions aimed at enhancing resilience in individuals facing challenging life circumstances. By promoting mindfulness and strengthening social connections, it may be possible to mitigate the negative psychological effects of uncertainty and entrapment, thereby enhancing overall resilience.
Evaluation of Laser acupuncture versus Physical Therapy Intervention in Management of Bruxism in Children. A Randomized Controlled Trial
Authors: Rashed Mohamed Farouk , Mohamed Myasser Ayman , Mohamed Negm Eldin Ragab , Mansy Maryam El 
Published: October 2024

Abstract

Objective
Comparison between different treatment modalities of bruxism in children and evaluating if treatment has an impact on management of bruxism. Research question: Whether management of bruxism in children has a value on its progress or not and which modality is the best for its management
Bruxism is a predominant parafunctional behavior in children which involved in development of tempro-mandibular disease and myofacial pain. Bruxism is classified into; sleep and awake bruxism or: primary and secondary types. The habit is characterized by decrease in mouth opening, pain and increased activity of muscles of mastication and loud sound during sleep. Ways of management include sleep hygiene, low level laser and physical therapy. The aim of the this study is to evaluate changes in pain, mouth opening and muscle activity in children with bruxism after using laser acupuncture versus relaxation technique as a physical therapy intervention.
Materials and Methods: Twenty four children (6-12 years) with history of teeth-grinding were randomly allocated to 3 groups of 8 individuals each: Group 1: laser acupuncture, Group 2: Physical therapy and Group 3: Control. At baseline and after 2 months, maximum mouth opening, Visual analogue scale (VAS) of pain of the tempro-mandibular joint and maximum voluntary contraction (MVC) was recorded.
Results: laser and physical therapy groups showed significant statistical difference in pain (VAS) reduction maximum mouth opening and (MVC) compared to control group.
Conclusion: Laser and physical therapy are good options to treat SB in children than sleep hygiene. Clinical relevance: Evaluating both the clinical importance of treating bruxism in children and to determine which approach offers the greatest benefit
The legacy of the COVID-19 pandemic for the healthcare environment: The establishment of long COVID/ post-COVID-19 condition follow-up outpatient clinics in Germany
Authors: Adam Lucas Christoph , Boesl Fabian , Raeder Vanessa , Breuer Ameli , Bremer Benno , Audebert Heinrich , Franke Christiana 
Published: October 2024

Abstract

Background
Since 2020, several specialized follow-up outpatient clinics have been established across Germany to address the complex needs of patients with Long COVID/ Post-COVID-19 Condition (PCC). This article reviews the current landscape of these specialized clinics in Germany and critically evaluates their diagnostic and treatment algorithms.
Methods
This study employed a mixed-method approach, combining publicly available information on post-COVID-19 outpatient clinics with an observational cross-sectional online survey among lead doctors of PCC follow-up outpatient clinics in Germany. The survey was conducted from November 2023 to January 2024. Descriptive statistics and t-tests for group-comparison were employed, with statistical significance set at p < 0.05.
Results
At the time of the survey, 112 specialized PCC outpatient clinics were identified in Germany through publicly available information. Forty-five experts (40.2%) responded to our survey. Treatment of PCC patients is personalized and symptom-oriented rather than standardized. Patient characteristics of the two identified main treatment domains, focusing on respiratory and neurocognitive symptoms, differed only in sex distribution. A higher proportion of females (63.9%) presented with pulmonary symptoms compared to patients with neurocognitive impairments (50.2%, p < 0.05). The level of distress among patients is generally perceived as high and outpatient clinic lead doctors are convinced that their outpatient counseling services offer significant benefits.
Conclusions
As the demand for PCC follow-up outpatient clinics persists, the establishment of new services continues, particularly addressing the growing need for neurocognitive care services. PCC outpatient care is currently personalized and symptom-orientated, leading to high variability across clinics. Further standardization of treatment protocols and diagnostic algorithms could improve patient care and facilitate professional exchange.
TYMS and CENPF emerge as key oncogenes and prognostic markers in glioma
Authors: Yin Xiaofeng , Wu Quansheng , Liu Qi , Ding Rui , Chen Laizhao , Jin Mingliang , Wang Songquan 
Published: October 2024

Abstract

Background
Glioma is a prevalent malignant tumor of central neural system. The high mortality rate among glioma patients is largely attributed to tumor metastasis and unfavorable prognosis. Diverse analysis of genomic and transcriptomic alterations is found in glioma, posing an urgent need for identifying novel therapeutic and prognostic targets with underlying molecular mechanisms.
Methods
The functional status relevant to TYMS and CENPF in pan-cancer was analyzed using CancerSEA database. We assessed the expression levels and clinical characteristics of TYMS and CENPF in TCGA-glioma data. The prognostic potential of TYMS and CENPF was assessed through Kaplan-Meier survival curve analysis and Cox proportional hazards modeling. To identify co-expressed genes, we applied a correlation analysis with a high R-value threshold, followed by PPI network construction and GSEA. Additionally, a gene-chemical interaction network was built using data from the Comparative Toxicogenomics Database (CTD), providing a framework for exploring potential therapeutic relationships. Furthermore, we collected clinical glioma tissue samples and detected mRNA and protein expression levels using qPCR and HPA analysis.
Results
We showed that TYMS and CENPF overexpression were notably higher in glioma patients, and related to histological types and glioma WHO grades. TYMS and CENPF were clinically correlated with worse prognosis in glioma and could be potential independent prognostic factors. GSEA analysis indicated that TYMS/CENPF and ten co-expressed genes regulated glioma cell motility and other cell behaviors via PI3K/AKT and MET signaling pathways.
Conclusions
Our findings suggested that aberrant TYMS/CENPF expression was significantly linked to glioma WHO grades and poor survival rates, contributing to a more comprehensive understanding of glioma therapeutic targets.