bluuebunny/crossref_metadata_2025_split huggingface dataset:
T Cell-Mediated Tumor Killing Sensitivity Gene Signature-Based Prognostic Score For Acute Myeloid Leukemia
Authors: Pan Yiyun , Xie FangFang , Zeng Wen , Chen Hailong , Chen Zhengcong , Xu Dechang , Chen Yijian 
Published: January 2024

Abstract
Background and Objective: Acute myeloid leukemia (AML) is an aggressive, heterogenous hematopoetic malignancies with poor long-term prognosis. T-cell mediated tumor killing plays a key role in tumor immunity. Here, we explored the prognostic performance and functional significance of a T-cell mediated tumor killing sensitivity gene (GSTTK)-based prognostic score (TTKPI).
Methods:Publicly available transcriptomic data for AML were obtained from TCGA and NCBI-GEO. GSTTK were identified from the TISIDB database. Signature GSTTK for AML were identified by differential expression analysis, COX proportional hazards and LASSO regression analysis and a comprehensive TTKPI score was constructed. Prognostic performance of the TTKPI was examined using Kaplan-Meier survival analysis, Receiver operating curves, and nomogram analysis. Association of TTKPI with clinical phenotypes, tumor immune cell infiltration patterns, checkpoint expression patterns were analysed. Drug docking was used to identify important candidate drugs based on the TTKPI-component genes.
Results: From 401 differentially expressed GSTTK in AML, 24 genes were identified as signature genes and used to construct the TTKPI score. High-TTKPI risk score predicted worse survival and good prognostic accuracy with AUC values ranging from 75%-96%. Higher TTKPI scores were associated with older age and cancer stage, which showed improved prognostic performance when combined with TTKPI. High TTKPI was associated with lower naïve CD4 T cell and follicular helper T cell infiltrates and higher M2 macrophages/monocyte infiltration. Distinct patterns of immune checkpoint expression corresponded with TTKPI score groups. Three agents; DB11791 (Capmatinib), DB12886 (GSK-1521498) and DB14773 (Lifirafenib) were identified as candidates for AML.
Conclusion: A T-cell mediated killing sensitivity gene-based prognostic score TTKPI showed good accuracy in predicting survival in AML. TTKPI corresponded to functional and immunological features of the tumor microenvironment including checkpoint expression patterns and should be investigated for precision medicine approaches.
Fractal analysis of mechanical properties in folded graphene aerogels
Authors: Liu Jingguo , Li Haiming , Li Hongyan , zhang Hai , Zhang Baolian , Wei Dongqing , Liao Xiaolan , Ding Wei 
Published: January 2024

Abstract
Origami structures contributed to the design of composite materials with excellent mechanical properties. In our previous work, the GO sheet was folded through the coordination and electrostatic interaction among oxygen atoms and Cu2+. The folded graphene aerogel (fGA) was constructed with folded graphene oxide sheets (fGO). However, the effect of pore structure parameters on the mechanical properties of fGA was neglected. Therefore, based on fractal theory, the pore structure of fGA was parametrically quantified using the fractal dimension (Df) in this paper. The elastic behavior of fGA was investigated through the mean-field homogenization fractal model (MHFM). The results showed that the fGA elasticity property exhibited a non-linear decreasing trend as the Df increased. The fGA with abundant pore structures was constructed by fGO, and these pores were essential for the structural stabilization of the aerogels. The excellent mechanical properties were possessed in fGA. As the pore size distribution of fGA became uniform, the variation of its elastic properties tended to stabilize.
Cholangiocarcinoma identified in perforated choledochal cyst in a 3-year-old boy
Authors: Yu Lun , Xiu Wenli , Yue Aimei , Hao Xiwei , Jiang Zhong , Wu Jie , Dong Qian 
Published: January 2024

Abstract
Cholangiocarcinoma in patients with Choledochal cyst is rare in childhood, however seriously affect the prognosis of the disease. The key to addressing this situation lies in the complete excision of extra-hepatic cyst. We present a case report of a 3-year-old boy who was found to have a cyst wall perforation during the surgical procedure, and postoperative pathology revealed cholangiocarcinoma confined to the mucosa layer. Preoperative 3D simulation based on CT data plays an important role in the treatment of this patient.
Radiation-Induced Xerostomia in Patients with Head and Neck Cancer Treated with Comprehensive Salivary Gland-Sparing Helical Tomotherapy Technique: Based on a Backpropagation Artificial Neural Network
Authors: Teng Feng , Wang Shijie , Li Kaixuan , Meng Lingling , Ju Zhongjian , Dai Xiangkun , Zhang Xinxin , Ma Lin , Zhu Guangying 
Published: January 2024

Abstract
Background The aim of this study was to create a backpropagation artificial neural network (BPANN) model for gauging the risk of developing xerostomia (dry mouth) due to targeted radiotherapy in patients with head and neck cancer (HNC) who underwent comprehensive salivary gland-sparing helical tomotherapy (HT).Methods A total of 246 HNC patients treated with salivary gland-sparing HT were included in this study prospectively from February 2016 to August 2018. The baseline characteristics and clinical data of 222 patients were collected and analyzed. The potential variables included age, sex, tumor type, radiation dose to the salivary glands, and xerostomia questionnaire score. These variables were adjusted using multivariate linear regression. The BPANN model was constructed to predict the likelihood and severity of xerostomia at both 1 and 2 years after radiotherapy. Model evaluation was based on the confusion matrix table and the area under the receiver operating characteristic curve (AUC of the ROC).Results The BPANN model revealed that the risk of radiation-induced xerostomia could be evaluated by evaluating the age, sex, tumor type, and radiation dose applied to specific salivary glands (parotid glands, submandibular glands, oral cavity, and tongue glands). Multivariate analysis indicated that age, sex, and submandibular gland dose were the primary influencing factors for xerostomia. Both prediction models demonstrated strong performance, as reflected in the confusion matrix table and the AUC of ROC curve.Conclusions The BPANN represents a potential and recommended predictive tool for assessing the likelihood of xerostomia induced by salivary gland-sparing helical tomotherapy.Trial registration: This study was registered with the Chinese Clinical Trial Registry (ChiCTR-ONN − 17010597).
Antibiotic resistance of Escherichia coli in Jordan
Authors: Shalabi Marwan , Al-Tamimi Mohammad , Albalwi Abdallah , Balawi Dua'a , Altarawneh Shahed , El-sallaq Mariam , Albalawi Hadeel , AbuRaideh Jumana , Khasawneh Ashraf 
Published: January 2024

Abstract
Background: Escherichia coli (E. coli) is among the most common causes of infections worldwide. Antibiotic resistance accounts for over 50% of E. coli infections, which is mediated by extended spectrum β-lactamases (ESBLs), AmpC β-lactamases, carbapenemase, and other mechanisms. Data on AmpC, carbapenemase, aminoglycosides and quinolones resistance of E. coli in Jordan are very limited. Aim: The aim of this study is to determine the molecular and phenotypic prevalence of antibiotic-resistant E. coli in Jordan.
Methods: 153 E. coli isolates collected from multiple Jordanian hospitals were tested for species identification, antibiotics susceptibility, and resistance genes.
Results: 153 E. coli isolates were collected from PHH (23%) and Islamic hospital (77%) including 75.8% females with a mean age of 47.09 ± 25.32. Most samples were collected from the emergency department (29.7%) and urine samples were the major source (82.9%). For AmpC detection, 67 (57.8%) samples were resistant to cefoxitin, 13 (23.2%) were positive for AmpC disk test, all tested samples were negative for CMY-1 gene, while 15 (14.4%) samples were positive for CMY-2 gene. Regarding aminoglycoside resistance, 54 (38%) strains were resistant to gentamycin, 3 (2.1%) were resistant to amikacin, and 94 (61.4%) samples had aac6’-Ib-cr gene. For fluoroquinolones resistance, 92 (65.7%) isolates were resistant to ciprofloxacin, 65 (47.1%) were resistant to levofloxacin, and 102 (98%) isolates were positive for gyrA gene. Finally, 3 (2%) isolates were resistant to imipenem and meropenem, however carbapenemase genes including: KPC, OXA-48, IMP, and VIM genes were negative in all samples.
Conclusion: Understanding the molecular and phenotypic characteristics of antibiotic-resistant E. coli will help to guide proper antibiotic therapy and combat microbial resistance in Jordan.
Social issues among the medical professionals during COVID-19 pandemic: An Indian Scenario
Authors: Nair Padmakumar Krishnankutty , Dsoza Russel F , Duarte Ivone , Nunes Rui 
Published: January 2024

Abstract

Background
Corona virus pandemic was a global pandemic due to Corona virus which resulted social and economic disruption around the world and medical professionals were not an exception.
Methodology & study population
Descriptive Cross-sectional questionnaire-based survey was conducted among the medical professionals in India to find out the social issues faced during COVID pandemic.
Results
Medical professionals faced isolation, harassment denial of accommodation (38.89%) and untoward incidents (26.68%). Pandemic affected the income for majority and they also faced expenditure in the form of investment in health insurance schemes. Bio medical waste management was fairly good and medical professionals were aware of the biomedical waste management guidelines. Majority (87.63%) were aware of the guidelines regarding Pandemic related biomedical waste management and 67.74% were trained in biomedical waste management rules which exist in the country.
Conclusion
Pandemic raised social issues among medical professionals in the form of stigma, violence, decline in revenue, increased insurance expenditure. Guidelines and training were obtained for majority of medical professionals regarding biomedical waste management.
Does chronic endometritis affect pregnancy outcomes in patients with endometriosis associated infertility? A retrospective cohort study
Authors: Lin Shunhe , Xie Xi , Chen Yishan , Huang Penghui , Zhang Jinna , Liu Chaobin , Lin Guan , wang Yi , Guo Yuyan 
Published: January 2024

Abstract

Background: Endometriosis (EMS) and chronic endometritis (CE) often coexist. Laparoscopic and hysteroscopic surgery surgery is one of the main methods for diagnosing and treating these conditions. The objectives of this study were to examine the clinical characteristics and prognosis of surgically diagnosed EMS complicated by CE and to assess the reproductive outcomes during subsequent pregnancies.
Methods:A total of 1574 infertile patients were included in this study between January 2018 and December 2020. 685 patients were diagnosed with endometriosis who were further divided into two groups: a CE group consisting of 318 patients and a non-CE group consisting of 367 patients. Within the cohort who suffered from CE, a subset of postoperative care clinical pregnant women (n=123) was selected to form the study group. The control group consisted of women undergoing singleton pregnancy (n=369) who underwent delivery during the same period. Data on clinical statuses and complications during pregnancy and delivery were collected from hospitals and through telephone interviews.
Results: The CE prevalence rate in women with EMS was 46.42%. Among the 318 women who were diagnosed with posterior CE, 135 achieved pregnancy. The cumulative clinical pregnancy rate was found to be significantly higher in groups with endometriosis fertility index (EFI) scores ranging from 7 to 8 and from 9 to 10 compared to groups with EFI scores below 7. Furthermore, women with both EMS and CE had a higher risk of experiencing complications during pregnancy, including placenta previa (13.01%), gestational hypertension (5.69%), and cesarean section delivery (59.34%).
Conclusions:Patients diagnosed with endometriosis exhibited a heightened prevalence of chronic endometritis. Our investigation revealed that combined hysteroscopic and laparoscopic surgery proved to be a successful approach in augmenting the overall pregnancy rate. Furthermore, women afflicted by both EMS and CE face an independently escalated susceptibility to placenta previa, gestational hypertension, and cesarean delivery.
Multimorbidity, Health Literacy, and Quality of Life Among Older Adults in an Urban Slum in India: A Community-Based Cross-Sectional Study
Authors: M Yogesh , Makwana Naresh , Damor Naresh , Trivedi Nidhi 
Published: January 2024

Abstract
Background: India is experiencing a rising burden of multimorbidity due to an aging population and epidemiological transition. Older adults residing in urban slums are especially vulnerable due to challenges in managing multiple comorbidities amid deprived living conditions. This study aimed to assess the prevalence of multimorbidity, associated health literacy, and quality of life impact in this marginalized population.
Methods and Materials: A community-based cross-sectional study was conducted among 800 adults aged ≥65 years in an urban slum in Gujarat, India. Participants were selected through multistage random sampling. Data on sociodemographics, chronic conditions, health literacy (HLS-SF-47 scale), quality of life (SF-12 scale), physical activity, social support, smoking, alcohol use, diet, and healthcare access were collected. and were collected. Multimorbidity was defined as the presence of ≥2 conditions. Categorical variables are presented as the frequency and percentage, and numerical variables are presented as the mean ± SD. Logistic regression analyses were applied to test the relationship between categorized independent and dependent variables, and all tests were two-tailed, with statistical significance set at the probability value (P <0.05).
Results: The prevalence of multimorbidity was 62.5% (500/800). Multimorbidity was significantly associated with lower physical component summary (PCS) and mental component summary (MCS) scores on the SF-12 (p<0.001). Nearly half (48%) of the older adults with multimorbidity had inadequate health literacy, compared to 20% of those without multimorbidity. After adjustment, inadequate health literacy increased the likelihood of having multimorbidity by more than 4 times (AOR 4.2, 95% CI 2.1-8.5). Older age (AOR 1.05, 95% CI 1.02-1.09; p=0.002), female sex (AOR 1.86, 95% CI 1.12-3.08; p=0.016), widowhood (AOR 2.05, 95% CI 1.15-3.65; p=0.015), no formal education (AOR 3.12, 95% CI 1.52-6.41; p=0.002), low socioeconomic status (AOR 2.35, 95% CI 1.22-4.52; p=0.011), being physically inactive (AOR 1.68, 95% CI 1.02-2.77), and lacking social support (AOR 1.57, 95% CI 1.01-2.45) were associated with greater odds of multimorbidity.
Conclusion: There is a high burden of multimorbidity among urban slum dwellers aged ≥65 years in India, which is strongly linked to inadequate health literacy, physical inactivity, and poor social support. Improving health literacy and addressing modifiable social determinants of health are essential to reducing multimorbidity prevalence in this marginalized population.
Enhancing Atrial Fibrillation Prediction Using Multimodal Neural Networks and XGBoost Integration
Authors: Rawshani Araz , Rawshani Aidin , Smith J. Gustav , Borén Jan , Bhatt Deepak L. , Börjesson Mats , Engdahl Johan , Lundgren Peter , Louca Antros , Råmunddal Truls , Andersson Erik , Omerovic Elmir , Mandalenakis Zacharias , Gupta Vibha 
Published: January 2024

Abstract
Atrial fibrillation (AF), a prevalent cardiac arrhythmia, poses significant health risks, emphasizing the critical need for accurate and timely detection to develop robust methodologies and ensure effective intervention. This study propels the field of AF detection through detailed electrocardiogram (ECG) analysis, employing sophisticated deep learning models and multimodal frameworks aimed at leveraging the complementary strengths of both deep learning and additional data sources, including heart rate variability (HRV) features and demographic data. The potential enhancement from the integration of high-level features from a deep neural network with XGBoost is also assessed. Our evaluation involves 35,634 recordings from three diverse public 12-lead ECG databases (CPSC-Extra, PTB-XL, and Georgia) with physician-interpreted AF labels, revealing notable performance disparities among various CNN architectures. AlexNet and VGG-16, less complex models, exhibited high performance both individually and in multimodal settings. Specifically, AlexNet achieved 96.80% AUC-ROC individually and 97.23% in multimodal modeling, while VGG-16 reached 97.13% in multimodal approach. The inclusion of HRV parameters positively impacted performance, while demographic data showed limited influence. Integrating high-level features with XGBoost increases overall accuracy but reduces AUC-ROC; for AlexNet, an AUC-ROC of 90.92% was observed. This study offers valuable insights into optimal model configurations, emphasizing the pivotal impact of a multimodal framework.
Basic research on multilayer composites based on fly ash and natural fibers
Authors: Bąk Agnieszka , Mikuła Janusz , Łach Michał 
Published: January 2024

Abstract
New restrictions on carbon dioxide emissions and electricity consumption are currently being introduced around the world. In many countries, innovative solutions are being used to reduce CO2 emissions and reduce material and energy consumption. The present work is related to the study of innovative binders based on geopolymers reinforced with composite bars and containing natural fibers for the production of layered building envelopes. The paper will present preliminary results of research on composites based on fly ash and natural materials of plant origin. The natural materials used to produce the samples are completely biodegradable. A 10-mol solution of sodium hydroxide with an aqueous solution of sodium silicate was used for the alkaline activation of geopolymers. The publication presents the results of physicochemical tests of base materials and natural materials, studies of thermal properties of fibers, mats, felts, and wools, morphology of fiber structure and texture, as well as physical and thermal properties of finished multilayer partitions. The results indicate the great potential of these materials in prefabrication and structural insulation applications. The work may have future applications in energy-efficient and low-carbon construction.
Influence of SLC40A1 on Cytokine Interaction and Immune Infiltration in Glioblastoma
Authors: Jiang Jiahao , Duan Riquan , Zhu Junle , Yan Junqing , Ye Jingliang , Luo Chun 
Published: January 2024

Abstract
Numerous studies have explored the various functions of SLC40A1 in cancer development. However, the role of SLC40A1 in primary glioblastoma necessitates further investigation. Initially, we observed that GBM patients with high SLC40A1 expression had a more favorable prognosis compared to those with low expression levels, as evidenced by the analysis of the TIMER database. Subsequent analysis using the TCGA database enabled us to identify potential mechanisms. Further analyses, including GO, KEGG, GSEA, immune infiltration, and correlation analyses, revealed that SLC40A1 primarily affected cytokine interactions, particularly with CCL14 and IL18, resulting in changes in the immune microenvironment and ultimately leading to better prognosis in GBM patients. We validated our findings by examining a tissue microarray with 180 samples, confirming that GBM patients with high SLC40A1 protein expression exhibited more favorable prognostic outcomes compared to those with low expression levels. Immunofluorescence analysis also showed a significant correlation between SLC40A1 protein expression and the expression of IL18 and CCL14 proteins. These findings suggest that SLC40A1 may play a role in GBM pathogenesis by modulating the tumor immune microenvironment through the regulation of IL18 and CCL14. Hence, targeting SLC40A1 might offer potential benefits for immunotherapeutic interventions and prognostic assessments in GBM patients.
Burden re-analysis of neurodevelopmental disorder cohorts for prioritization of candidate genes and establishment of LEO1 as a novel disease gene
Authors: Weckhuysen Sarah , smal Noor , Majdoub Fatma , Janssens Katrien , Reyniers Edwin , Meuwissen Marije , Ceulemans Berten , Northrup Hope , Hill Jeremy , Liu Lingying , Errichiello Edoardo , Gana Simone , Strong Alanna , Rohena Luis , Franciskovich Rachel , Murali Chaya , Huybrechs An , Sulem Telma , Fridriksdottir Run , Sulem Patrick , Stefansson Kari , Bai Yan , Rosenfeld Jill , Lalani Seema , Streff Haley , Kooy Frank 
Published: January 2024

Abstract

This study aimed to uncover novel genes associated with neurodevelopmental disorders (NDD) by leveraging recent large-scale de novo burden analysis studies to enhance a virtual gene panel used in a diagnostic setting. We re-analyzed historical trio-exome sequencing data from 745 individuals with NDD according to the most recent diagnostic standards, resulting in a cohort of 567 unsolved individuals. Next, we designed a virtual gene panel containing candidate genes from three large de novo burden analysis studies in NDD and prioritized candidate genes by stringent filtering for ultra-rare de novo variants with high pathogenicity scores. Our analysis revealed an increased burden of de novo variants in our selected candidate genes within the unsolved NDD cohort and identified qualifying de novo variants in seven candidate genes: RIF1, CAMK2D, RAB11FIP4, AGO3, PCBP2, LEO1, and VCP. Clinical data were collected from six new individuals with de novo or inherited LEO1 variants and three new individuals with de novo PCBP2 variants. Our findings confirm LEO1 as a risk gene for autism and intellectual disability. Furthermore, we prioritize PCBP2 as a candidate gene for NDD associated with motor and language delay. In summary, by leveraging de novo burden analysis studies, employing a stringent variant filtering pipeline, and engaging in targeted patient recruitment, our study contributes to the identification of novel genes implicated in NDDs.