bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of a novel oxidative stress-based molecular classification and treatment vulnerabilities in WHO grade II/III meningiomas
Authors: Luo Xiao-Xiao , Wang Jian-Hua , Hu Guang-Yuan , Yuan Xiang-Lin , Long Guo-Xian 
Published: May 2024

Abstract

Objective
The WHO grading based upon histopathology cannot accurately predict behaviors of meningiomas. Hence, the study proposed an oxidative stress-based molecular classification for WHO grade II/III meningiomas.
Methods
Differentially expressed oxidative stress-related genes were analyzed to develop a relative classification through consensus clustering. Immune-related characteristics and potential drugs were estimated. Three machine learning models: logistic regression, support vector machine, and random forest were built for testing the classification. Key oxidative stress-related genes were verified in human meningeal cells (HMC), and two meningioma cells (CH-157MN, and IOMM-Lee) via RT-qPCR and western blot. After knockdown of FOXM1 or PRNP, cell growth, migration, and ROS levels were measured through CCK-8, transwell, and immunofluorescence.
Results
The study classified high grade meningiomas into two oxidative stress-based clusters. Cluster 1 exhibited higher infiltrations of immune and stromal cells and higher expression of immune checkpoints: CD86, PDCD1, and LAIR1, indicating a better responding to immunotherapy. The three classifiers were proven to accurately differentiate the molecular classification. FOXM1 and PRNP were highly expressed in meningioma cells, and their silence potently hindered cell growth and migration and triggered ROS accumulation.
Conclusion
Our findings establish a novel oxidative stress-based molecular classification and identify potential treatment vulnerabilities in high grade meningiomas.
The Influence of Internet Information Exposure on Chinese Youth's Intention of Online Psychological Counseling: Based on SOR Theory and the Mindful Coping Model
Authors: Wang Yi , Qiao Tianrui , Liu Chao 
Published: May 2024

Abstract

Background: Psychological health is a prominent social issue worldwide and in China. However, the cultural values of Chinese people often lead to a reluctance to pursue psychological counseling. Simultaneously, the rapid development of internet medical services in China provides a solid foundation for online psychological counseling. The purpose of this study is to explore how information exposure, trait mindfulness, public stigma, and self-stigma among Chinese youth affect their intentions of seeking online psychological counseling.
Methods: Based on the SOR (stimulus-organism-response) theory, combined with a mindful coping model, a structural equation model was constructed to analyze the path of the effects of information exposure, trait mindfulness, public stigma, and self-stigma on behavioral intention. A total of 671 valid questionnaires were collected through online random surveys. First, SPSS 26.0 was used for questionnaire reliability and validity analysis, demographic characteristic difference testing, and correlation testing between variables. Secondly, Amos 26.0 was used to construct the structural equation model, verify the model fitting, identify the relationship between latent variables, and perform path testing.
Results: The study results indicate that 1) The intention of online psychological counseling among Chinese youth has significant differences in terms of age, occupation, monthly income, and previous counseling experiences. 2) Information exposure positively affects counseling intention (β=0.434, P<0.001), Trait mindfulness positively affects counseling intention (β=0.1, P<0.05), information exposure doesn't significantly affect public stigma (β=0.015, P=0.727), information exposure negatively affects self-stigma (β=-0.079, P<0.05), mindfulness character negatively affects public stigma (β=-0.421, P<0.001), mindfulness character negatively affects self-stigma (β=-0.115, P<0.001), public stigma positively affects self-stigma (β=-0.766, P<0.001), public stigma negatively affects counseling intention (β=-0.234, P<0.01), and self-stigma negatively affects counseling intention (β=-0.248, P<0.001).
Conclusions: Combining the SOR theory with the mindful coping model, it has been found that information exposure and trait mindfulness positively affect counseling intention, information exposure doesn't affect public stigma but negatively affects self-stigma, trait mindfulness negatively affects both public and self-stigma, and both public stigma and self-stigma negatively affect counseling intention. This study provides a sample for the SOR theory and the mindful coping model, and provides new insights and path support for individuals resisting the stigma of psychological illness and seeking professional help under Eastern cultural values.
Deciphering Alkaloid and Flavonoid Biosynthesis in Different Tissues of Sophora tonkinensis via Transcriptomics and Metabolomics
Authors: Liang Ying , Wei Guili , Liang Ximei , Tang Meiqiong , He Hong , Tang Danfeng , Lin Yang , Li Linxuan , Qin Shuangshuang , Wei Fan 
Published: May 2024

Abstract

Background：Sophora tonkinensis Gagnep is an important Chinese herbal medicine, with alkaloids and flavonoids being the primary pharmacological substances. However, theinformation on the metabolic pathways of alkaloids and flavonoids in S. tonkinensis are not well understood.
Results: This research delves into the molecular regulation of the accumulation of alkaloids and flavonoids in S. tonkinensis. By examining four tissues (seeds, leaves, stems, and roots), through high-throughput transcriptome sequencing (RNA-seq) and liquid chromatography-mass spectrometry (LC-MS), it identified differential metabolites and genes related to alkaloid and flavonoid biosynthesis. Transcriptome analysis identified 2,727 differentially expressed genes (DEGs). Among these DEGs, 35 were related to alkaloids and 48 to flavonoids. Furthermore, metabolome analysis revealed 296 differentially expressed metabolites (DEMs), comprising 23 alkaloid-related DEMs and 23 flavonoid-related DEMs. Additionally, the weighted gene co-expression network analysis highlighted the potential of StCAO (evm.model.3.924) in regulating alkaloid biosynthesis and StCHIs (evm.model.3.2047, evm.model.1.2104, and evm.model.1.2101) in flavonoid biosynthesis. To reinforce these findings, qPCR validation confirmed the consistency of expression trends for 12 selected DEGs across the roots, stems, leaves, and seeds of S. tonkinensis.
Conclusion: This study provides a detailed exploration of the regulatory mechanisms of alkaloid and flavonoid accumulation and associated key genes in different S. tonkinensis tissues. These findings provide insights for future investigations into the regulatory mechanisms of alkaloids and flavonoids in S. tonkinensis.
Deep Learning Prediction of Survival in Patients with Heart Failure Using Chest Radiographs
Authors: Jia Han , Liao Shengen , Zhu Xiaomei , Liu Wangyan , Xu Yi , Ge Rongjun , Zhu Yinsu 
Published: May 2024

Abstract

Background: Heart failure (HF) is associated with high rates of morbidity and mortality. The value of deep learning survival prediction models using chest radiographs (DLSPCR) in patients with heart failure is currently unclear.
Objective: To develop and validate a deep learning survival prediction model using chest radiographs (DLSPCR) in patients with HF.
Methods: The study retrospectively enrolled a cohort of 353 patients with HF who underwent chest radiographs (CR) at our institution between March 2012 and March 2017. The dataset was randomly divided into training (n=247) and validation (n=106) datasets. Univariate and multivariate Cox analysis were applied to the training dataset to develop clinical and imaging survival prediction models. The DLSPCR algorithm was trained and the selected clinical parameters were incorporated into DLSPCR to establish a new model called DLSPinteg. Discrimination performance was evaluated by using the time-dependent area under the receiver operating characteristic curves (TD AUC) at 1, 3, and 5-year survival. Delong’s test was employed for the comparison of difference between two AUCs of different models. The risk-discrimination capability of the optimal model was evaluated by Kaplan-Meier curve.
Results: In multivariable Cox analysis, older age, higher N-terminal pro-B-type natriuretic peptide (NT-ProBNP), systolic pulmonary artery pressure (SPAP) > 50 mmHg, New York Heart Association (NYHA) functional class III-IV and cardiothoracic ratio (CTR) ≥ 0.62 in CR were independent predictors of poor prognosis in patients with HF. As the receiver operating characteristic (ROC) curve analysis showed, DLSPCR had better performance at predicting 5-year survival than the imaging Cox model in the validation cohort (AUC: 0.757 vs 0.561, P=0.01). DLSPinteg as the optimal model outperforms clinical Cox model (AUC: 0.826 vs 0.633, P=0.03), imaging Cox model (AUC: 0.826 vs 0.555, P<0.001), and DLSPCR (AUC: 0.826 vs 0.767, P=0.06).
Conclusions: Deep learning models using chest radiographs can predict survival in patients with heart failure with acceptable accuracy.
Serum lipid profiles of children with autism: A pilot study
Authors: Ma Yu , An Shigang , Wang Yaozhou , Luo Linyin , Peng Zhongbi , Wang Xike , Cui Yuxia , Hu Xiao , Wang Yi , Zhou Hao 
Published: May 2024

Abstract

Background
The etiology and pathogenic mechanism of autism spectrum disorder (ASD) remain unclear. To provide data on the etiology and biomarkers of ASD, our study evaluated serum lipid levels and nutrition profiles of Chinese children with ASD.
Methods
A total of 32 ASD childrenand 59 healthychildren were enrolled in this study. We assessed thirteen biochemical indicators that reflect serum lipids and nutritional status. Univariate and multivariate analysis, spearman correlation analysis, and receiver operating characteristic (ROC) curves were used to assess differential indicator between the ASD and control groups and the diagnostic value for ASD.
Results
TG (odds ratio [OR] = 2.187, 95% confidence interval [CI]: 1.299-3.682), CHOL (OR = 1.808, 95% CI: 1.055-3.097) and ALB (OR = 4.709, 95% CI: 1.294-17.135) were the main factors that led to a diagnosis of ASD. Each of the differential indicators provided significant diagnostic value for ASD, including TG (AUC=0.6504, P=0.0182), CHOL (AUC=0.7055, P=0.0013), and ALB (AUC=0.7587, P<0.0001).
Conclusion
Impaired lipid metabolism may be related to the pathogenesis of ASD. TG, CHOL and ALB were important influencing factors that led to ASD and may be potential biomarkers for early diagnosis and treatment.
Returning to sport after pregnancy: A qualitative study of elite female athletes in the UK
Authors: O'Leary Noreen , Caro Catherine , Trow Storm , Bell Zoe , Payne Elana , Silverio Sergio A. , Lavelle Fiona , Flynn Angela C 
Published: May 2024

Abstract

Background: Returning to sport postpartum is becoming increasingly common for elite athletes. While policies to support women during this period are emerging, this remains an area of limited research. To date the lived postpartum experience of UK elite athletes as they returned to sport has not been explored.
Methods: This qualitative study collated the experiences of 11 women via online interviews. Data was analysed using thematic analysis.
Results: Three key themes were generated from the data: 1) navigating the mother-athlete identity 2) personal support and inspiration and 3) systemic supports. Athletes must navigate their return to sport, both in terms of their changed identity and practical challenges associated with having a child. Seeing other women navigate this journey provided encouragement to athletes that they could do this. Findings also illustrated the role of the athletes’ own sports community and wider organisations. Access to specific supports such as timelines for return to sport and nutritional advice positively impacted the athlete’s postpartum return to sport, as did access to maternity leave policies which protected funding during the pregnancy and postpartum period.
Conclusions: Moving forward, carrying out high-quality research to inform guidelines for elite athletes return to sport and developing national level maternity leave polices need to be seen as urgent priorities. This is to ensure that elite athletes are properly supported during the postpartum period and can resume their careers.
The landscape of pregnancy and prepregnancy cohorts: a scoping review
Authors: Maxwell Lauren , Gilyan Regina , Chavan Sayali Arvind , Akter Shaila , Bhatt Mahir , Cunningham Solveig A. , Jaenisch Thomas 
Published: May 2024

Abstract

Background
Recent research in life course epidemiology has demonstrated the importance of evaluating how prepregnancy and pregnancy exposures affect later life developmental outcomes. In this scoping review, we identified and described completed or ongoing pregnancy and prepregnancy cohorts to assess gaps in the maternal exposures and child outcomes measured in these initiatives and inform future research investments.
Methods
We developed a systematic search that included text and MeSH terms and was tailored for four biomedical citation databases. We applied the Arskey and O’Malley scoping review methodology. We selected a scoping review methodology to provide a comprehensive overview of pregnancy and prepregnancy cohorts and their characteristics. Two reviewers independently conducted the title, abstract, full-text screening, and data charting; a third reviewer resolved discrepancies. The results were summarised in narrative form.
Results
We reviewed 147 manuscripts that presented findings from 56 pregnancy and two prepregnancy cohorts, 23 of which were ongoing. Half of the pregnancy cohorts were based in Europe. The most commonly described maternal exposures were nutrition, anthropometric measures, non-communicable diseases (NCDs), and demographic factors. Children’s mental, behavioural, neurodevelopmental, and physical outcomes were the most commonly measured outcomes. Fewer studies evaluated infectious disease, biomarkers, and environmental or workplace exposures. No cohorts examined vaccine or climate-related exposures during pregnancy. About half of the cohorts collected samples from pregnant women or the fetus and a third from children, with blood being the most common sample type. Most studies did not indicate how data or samples could be accessed.
Conclusions
This comprehensive overview of pregnancy and prepregnancy cohorts provides a foundation for cross-cohort coordination. Infectious disease, vaccine, environmental, and climate related exposures and microbiome, immune function, and economic outcomes remain underrepresented in pregnancy and prepregnancy cohorts.
Leveraging Adrenergic Receptor Blockade for Enhanced Nonalcoholic Fatty Liver Disease Treatment via a Biomimetic Nanoplatform
Authors: Fei Bingyuan , Zhao Yuewu , Wang Jine , Wen Panyue , Li Junjie , Tanaka Masaru , Wang Zheng , Li Shuo 
Published: May 2024

Abstract

Nonalcoholic fatty liver disease(NAFLD) is characterized by excessive lipid accumulation, steatosis and fibrosis. Sympathetic nerves play a critical role in maintaining hepatic lipid homeostasis and regulating fibrotic progression through adrenergic receptors expressed by hepatocytes and hepatic stellate cells; however, the use of sympathetic nerve-focused strategies for the treatment of NAFLD is still in the infancy. Herein, a biomimetic nanoplatform with ROS-responsive and ROS-scavenging properties was developed for the codelivery of retinoic acid (RA) and the adrenoceptor antagonist labetalol (LA). The nanoplatform exhibited improved accumulation and sufficient drug release in the fibrotic liver, thereby achieving precise codelivery of drugs. Integration of adrenergic blockade effectively interrupted the vicious cycle of sympathetic nerves with hepatic stellate cells (HSCs) and hepatocytes, which not only combined with RA to restore HSCs to a quiescent state but also helped to reduce hepatic lipid accumulation. We demonstrated the excellent ability of the biomimetic nanoplatform to ameliorate liver inflammation, fibrosis and steatosis. Our work highlights the tremendous potential of a sympathetic nerve-focused strategy for the management of NAFLD and provides a promising nanoplatform for the treatment of NAFLD.
Herpes Simplex Virus Encephalitis Complicated by IntraParenchymal Hemorrhage in an 8-Month-Old Female: A Case Report
Authors: Zare Samaneh , Hashemi Maryam , Ayareh Nazanin 
Published: May 2024

Abstract

Background: Herpes simplex virus (HSV) encephalitis is a serious illness of the nervous system in children. While acyclovir treatment improves outcomes, mortality and morbidity are still considerable. Hemorrhagic consequences are uncommon and can cause diagnostic delays. This case report describes a child who experienced intraparenchymal bleeding as a result of temporal lobe encephalitis caused by the herpes simplex virus.
Case Presentation: An 8-month-old girl presented with fever, convulsions, and lethargy. Her initial antibiotic treatment did not improve her condition. CSF PCR proved HSV-1 encephalitis and brain CT showed intraparenchymal hemorrhage, which was a delayed finding. MRI revealed temporal lobe, basal ganglia, and posterior fossa involvement, which was consistent with HSV encephalitis. Treatment with acyclovir began promptly and the patient responded very well.
Conclusion: This case study highlights how patients with HSV encephalitis who do not improve with treatment should be evaluated for intraparenchymal bleeding. Prompt action and early diagnosis are essential for successful management.
Traveling Wave Fault Location for AC Transmission Lines: An Approach Based on the Application of EMD and Teager Energy Operator
Authors: Oliveira Andressa Pereira , Moreira Fernando Augusto , Picanço Alessandra Freitas , Vasconcellos Felipe Mendes 
Published: May 2024

Abstract

This paper proposes an approach for the single-ended and the double-ended traveling wave based fault location algorithm using the empirical mode decomposition associated with the Teager energy operator to extract characteristic data from the faulted voltage signals of an overhead transmission line. The simulation of the power system uses the JMarti line model, with an ideally transposed transmission line, and it was carried out using the Alternative Transients Program (ATP) software. After, the MATLAB® software was used for extracting the traveling wave arrival times and to perform the single-ended and the double-ended fault location algorithms for all simulated scenarios in ATP. The numerical and graphical results prove that the proposed methodology with the Teager Energy operator and the double-ended analysis can better extract the characteristic data of the voltage signals and estimate the fault location with good accuracy, with percentage error of 0.034% for the best results, depending only on the fault type and the sampling rate adopted.
An Observational Study of Oncological and Short-Term Outcomes in Laparoscopic Colon Surgery
Authors: Malet Marcelo Viola , Duffau Alexandra , Laurini Marcelo , Soumastre Alejandro , Brito Noelia , Domínguez Fabiana , Durán Federico , Rodríguez Pablo 
Published: May 2024

Abstract

Objective: The advancement of colorectal surgery through laparoscopic approach has represented one of the greatest challenges for digestive surgeons in the modern era.
The questioning of this approach oncological quality and radical nature was for many years the cause of the delay in its implementation in colonic pathology, mainly malignant.
Our objective is to share the results and analysis of the oncological quality of work we do in the Coloproctology Section of Médica Uruguaya (MUCAM).
Methods: This is a descriptive, retrospective, observational study on a prospective database of patients over 15 years of age undergoing consecutive laparoscopic colon surgery. Scheduled between December 2008 and December 2022 at MUCAM. 432 patients were operated on (377 cancer patients).
Demographical population carachteristics, hospital stay, suture leakage, reinterventions, 90 days mortality, nodal harvest, overall survival, cancer-related survival, disease-free survival.
Results: Our series including 53% women and 47% men, with an average age of 62.6 years (15-90 years). The average hospital stay was 4 days. We reported 5.5% suture leakage, 11.3% reinterventions and 3.2% mortality at 90 days. The average nodal harvest was 16. Overall survival was 77.7% and 65.5% at 5 and 10 years, and cancer-related survival was 82.7% and 79.2% at 5 and 10 years. Median survival was 136.6 months. The 5-year survival for Stage 0 is 96.6%, EI 91.7%, IBD 92.8%, EIII 80.3%, EIV 35.2
Our study has the limitation of being a retrospective study of a case series in a single health institution.
Conclusions: The above results show that laparoscopic colon surgery is feasible and safe in our environment, and are comparable with large prospective, randomized, multicenter studies.
The Effect of Eleventh Rib Excision on Perioperative Outcomes in Patients Undergoing Partial Nephrectomy for Upper Pole Renal Tumors
Authors: BAYLAN BURHAN , GUREL ABDULLAH 
Published: May 2024

Abstract

Introduction: We aimed to evaluate the effect of 11th rib resection.on the perioperative period TRIFECTA criteria in patients who underwent retroperitoneal partial nephrectomy (PN) with the diagnosis of upper pole kidney tumors.
Materials and Methods: We conducted a retrospective analysis of the data of the patients who underwent Open PN for upper pole renal masses between 2018 and 2023. The patients were divided into two groups: PN with rib resection and PN without rib resection. The demographic characteristics, tumor sizes, PADUA scores, warm-cold renal ischemia times, mass excision and tumor bed suturing times, histopathological tumor type and surgical margin positivity of the patients were examined. Both groups were evaluated comparatively based on this data.
Results: The renal nephrometry scores of the two groups were similar. The total renal ischemia time was significantly shorter in the patients who underwent a rib resection than in those who did not (p <0.001). Both the tumor excision and tumor bed suturing times were significantly shorter in the group that underwent a rib resection than in the group that did not (p <0.001). The Clavien-Dindo complication grades were statistically similar between the two groups.
Conclusion: Complex in nature and high risk renal masses located in the upper pole of the kidney, partial nephrectomy performed with an 11th rib resection can be considered a reliable surgical option with a shorter ischemia time, supporting the preservation of long-term renal function.