bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genetic association of CCL18 and EGF genes elevate the risk of breast cancer
Authors: Sonia Fatema Akter , Ferdous Md. Razowanul , Moududee Sayed Ala , Bellah Sm Faysal 
Published: June 2023

Abstract
Background: CCL18 and EGF, two biologically plausible cancer biomarkers, are responsible for the emergence and progression of breast invasive carcinoma (BRCA). We aimed to study the expression of the CCL18 and EGF genes and how CCL18 and EGF affect immune function and prognosis in breast cancer.Subjects and methods: To evaluate the relationship between CCL18 and EGF and breast cancer risks, web-based bioinformatics tools were used. The Kaplan-Meier plotter was used to assess the predictive importance of CCL18 and EGF mRNA expression in breast cancer. In order to find whether CCL18 and EGF are independent risk factors for overall survival (OS) and relapse-free survival (RFS) of breast cancer patients, single- and multivariate Cox proportional hazards regression analysis was used. Additionally, STRING database was used to analyze protein-protein interactions.Result: Our findings demonstrated that both CCL18 and EGF exhibit considerable expression and are linked to an elevated risk of breast cancer. In addition, increased expression of CCL18 might indicate poor OS and RFS. Moreover, disease stage and expression level of CCL18 and EGF were correlated with relapse-free survival and overall survival in breast cancer. Analysis of protein-protein interaction based on STRING database gained 8 top genes which could interact with ZWINT, including PMF1, MIS12, DSN1, ZW10, BUB1, BUB1B, CASC5, NDC80, NSL1 and NUF2.Conclusion: Our findings indicate that CCL18 and EGF have high levels of expression in breast tumor tissues and may play a crucial role in the etiology of breast cancer risk.
Effects of preparation and telemedicine support for laypersons as first responders for building-site severe injury events: a randomized simulation study
Authors: Hedberg Hans , Hedberg Pia , Alex Jonas , Karlsson Sofia , Haney Michael 
Published: June 2023

Abstract
Background: The risk of high-energy trauma injuries on construction sites is relatively high. A delayed response time could affect outcomes after severe injury. This study assessed if preparation for first aid response for laypersons (employees or apprentices) in the construction industry, a first aid training course or atelemedicine supporting system, would lead to better immediate vital responses.
Method: This was a randomized, controlled simulation study. Employees or apprentices at a construction site were recruited and randomly allocated into a group where groups had telemedicine support or not, and preparatory course training or not. One group had both, and one group had neither. The primary outcomes were correct behavior to recognize a blocked breathing passage and restore adequate breathing and correct behavior to stop life-threatening bleeding from a lower extremity injury.
Results: A total of 90 participants were included and were assessed as 10 groups of 3 for each of 4 exposures (one group was tested first as a baseline group, and then later after having done the training course). For bleeding, and airway management within 90 seconds, telemedicine support by itself, with no course preparation, gave benefit to trauma response. The preparatory course by itself showed improved immediate responses, at least for airway management. The pre-treatment course and telemedicine support together were shown to be not clearly superior to the course by itself or telemedicine by itself.
Conclusion: These findings show that laypersons, here construction industry employees, can be supported to achieve good performance as first responders in a major injury scenario either by a 6 hour practical training course or with distance video support from ambulance personnel by itself, or with both. Since effects of training course/education is expected to decay over time without recurrent training or repetition, telemedicine support for local laypersons in response to a serious injury event could be a practical way to improve vital immediate response effectiveness, even for those who have not had recent first aid courses.
Construction and validation of somatic mutation-derived LncRNA signatures of genomic instability to predict prognosis of hepatocellular carcinoma
Authors: Duan Botao , Zhao Xuekai , Cui Yangyang , Liu Dezheng , Zhou Lei , Zhang Xingyuan 
Published: June 2023

Abstract
Background
Long non-coding RNAs (LncRNAs) have been found to be a potential prognostic factor for cancers, including hepatocellular carcinoma (HCC). Some LncRNAs have been confirmed as potential indicators to quantify genomic instability (GI). Nevertheless, GI-LncRNAs remains largely unexplored. This study establishes a genomic instability-derived LncRNA signature (GILncSig) that can predict the prognosis of HCC patients.
Methods
Identifying the GI-LncRNAs by combining LncRNA expression and somatic mutation profiles. Next, GI-LncRNAs were analyzed for functional enrichment. GILncSig was established in the training set by Cox regression analysis, and its predictive ability was verified in testing set and TCGA set. In addition, we explored the effects of GILncSig and TP53 on the prognosis.
Results
A total of 88 GI-LncRNAs were found, and functional enrichment analysis showed that their functions were mainly involved in small molecule metabolism and GI. GILncSig was constructed by 5 LncRNAs (MIR210HG, AC016735.1, AC116351.1, AC010643.1, LUCAT1). In the training set, the prognosis of high-risk patients was significantly worse than that of low-risk patients, and similar results were verified in the testing set and TCGA set. Multivariate Cox regression analysis and stratified analysis confirmed that GILncSig could be used as an independent prognostic factor The ROC curve analysis of GILncSig showed that its AUC (0.773) was higher than the two LncRNA signatures published recently. Furthermore, GILncSig may have a better predictive performance than TP53 mutation status alone.
Conclusion
We established a GILncSig that can predict the prognosis of HCC patients, which can help to guide the prognostic evaluation and treatment decisions.
Current Genetic Defects in Common Variable Immune Deficiency Patients on the Geography Between Europe and Asia
Authors: Aygun Ayse , Topyıldız Ezgi , Geyik Mehmet , Karaca Neslihan Edeer , Durmaz Asude , Aksu Guzide , Aykut Ayca , Kutukculer Necil 
Published: June 2023

Abstract

Identification of the causes of monogenetic common variable immune deficiency (CVID) patients has rapidly increased in the last years by means of worldwide availability of appropriate genetic diagnostic methods. However, up to date, very limited numbers of reports demostrating the role of geography, ethnicity and consanguinity have been published. Here, we reported the first study of Turkish CVID patients and compared them with the results of three countries from America, Europe and Asia. A total of 100 children diagnosed as CVID according to the criteria of European Society for Immunodeficiencies were enrolled and they were genetically analyzed by using Targeted Next Generation Sequencing and Whole Exome Sequencing. The median age of our patients was 5.8 years (range, 3.0-16.0 years) at clinical diagnosis and 9.0 years (range, 4.8-21.0 years) at the time of genetic diagnosis. The consanguianity rate was 24%. Disease-causing pathogenic mutations were defined in 40% of patients in a total of 17 different genes. Sixteen of 40 identified mutations were novel (40%). We determined 18 surface molecular defects, 10 cytosolic defects, 9 nuclear defects and 3 others. In our cohort, the most common gene wasTACI(15/40 in mutation identified cases and 15/100 in all cases) followed by the others such asPLCү2, LRBA, TCF3andSTAT1.In contrast to our expectations, our results were more similar to American and European population rather than Asians, although we also have high consanguinity rates and live on the geography between Europe and Asia. Genetic investigation is a great challenge, because of the complexity and heterogenity of the disease and each country has to know their own current genetic landscape in CVID for a better and successful management of the patients.
Systemic inflammation adversely affects response to anamorelin in patients with pancreatic cancer
Authors: Tsunematsu Masashi , Uwagawa Tadashi , Onda Shinji , Shirai Yoshihiro , Okui Norimitsu , Matsumoto Michinori , Furukawa Kenei , Haruki Koichiro , Ishizaki Shunta , Ikegami Toru 
Published: June 2023

Abstract
Purpose
Anamorelin, a selective ghrelin receptor agonist, has been approved for pancreatic cancer treatment in Japan. We aimed to investigate whether systemic inflammation, represented by the neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), lymphocyte-monocyte ratio (LMR), and C-reactive protein (CRP)-albumin ratio (CAR), could predict the effect of anamorelin in patients with advanced pancreatic cancer.
Methods
This study included 31 patients who had received anamorelin for advanced pancreatic cancer between 2021 and 2023. Patients’ NLR, PLR, LMR, and CAR were evaluated before anamorelin administration. The patients were classified as responders and non-responders based on whether they gained body weight after 3 months of anamorelin administration. We investigated the association between systemic inflammation and anamorelin efficacy using a univariate analysis.
Results
Twelve (39%) patients were non-responders. A high serum CRP level (p = 0.007) and high CAR (p = 0.013) was associated with non-response to anamorelin. According to the receiver operating characteristics analysis, the CAR cutoff value was 0.06, and CAR ≥ 0.06 was a risk factor (odds ratio, 5.6 [95% confidence interval 1.2–27.1], p = 0.032) for non-response to anamorelin.
Conclusion
CAR can be a predictor of non-response to anamorelin in patients with advanced pancreatic cancer, suggesting the importance of a comprehensive assessment of the inflammatory status.
Hybrid Classical-Quantum Transfer Learning for Text Classification
Authors: Ardeshir-Larijani Ebrahim , Nasiri Mehdi 
Published: June 2023

Abstract
Quantum Machine Learning (QML) is a promising field that combines the power of quantum computing with machine learning. Variational quantum circuits, where parameters of circuits are learned classically, have been widely used in many recent applications of QML. This is an instance of a hybrid quantum-classical framework, where both classical and quantum components are present. However, applying these techniques to applications involving massive data is a challenging task. One way to overcome this, is using the concept of classical-quantum transfer learning with the help of dressed quantum circuit, introduced recently, where the underlying neural architecture is pre-trained classically, but at the final steps (decision layer), a quantum circuit is used, followed by quantum measurements and post-processing to classify images with high precision. In this paper, we applied hybrid classical-quantum transfer learning to another task of massive data processing, i.e. Natural Language Processing (NLP). We show how to (binary) classify short texts (e.g., SMS) with classical-quantum transfer learning, which was originally applied to image processing only. Our quantum network was pre-trained by Bidirectional Encoder Representations from the Transformers (BERT) model, and its variational quantum circuit is fine-tuned for text processing. We evaluated the performance of our hybrid neural architecture using the Receiver Operating Characteristic (ROC) curve, which is typically used in the evaluation of classification problems. The results indicate high precision as well as lower loss function. To our knowledge, our work is the first application of quantum transfer learning to the area of NLP. Finally a comparison with a tool that uses learning but in a different way than transfer learning is presented
Genetically predicted type 2 diabetes may be a protective factor for bone mineral density：A Mendelian randomization study
Authors: Ma Weiwei , Chen Honggu , Xiong Yong , Lv Yahui , Ren Jie 
Published: June 2023

Abstract
Purpose:
The aim of this study was to investigate the causal association between T2D and BMD using MR analysis.
Methods:
We obtained genetic data for T2D and BMD from previously published genome-wide association studies (GWAS). We selected single nucleotide polymorphisms (SNPs) with significant genome-wide differences(p<5×10-8) and independent (r2 < 0.001), and further analysed SNPs with F ≥ 10. To assess causality, we used inverse variance weighting (IVW) and reported results as odds ratios (ORs). We also tested for heterogeneity using Cochran's Q, tested for polymorphism using the MR-Egger intercept, and performed sensitivity analyses to ensure the robustness of our results.
Results:
The results showed that T2D was significantly associated with FN-BMD(β=0.049, 95%CI 0.021~0.077, p=0.001),LS-BMD(β=0.05, 95%CI 0.015~0.085,p=4.707*10-3), eBMD (β=0.028, 95%CI 0.01~0.045,p=0.002), TB-BMD(β=0.040,95%CI 0.015~0.064,p =0.002),TB-BMD(age over 60)(β=0.051,95%CI 0.016~0.086,p = 0.004),TB-BMD (age 45-60) (β=0.05,95%CI 0.014~0.087,p=0.007).
Conclusion:
In summary, our study suggests that T2D may act as a protective factor for BMD, we do not have sufficient evidence to support a causal effect of T2D on BMD at a genetically predicted level. More cases need to be included for analysis.
Gastric cancer combination therapy by siRNA-mediated NRF2 silencing and paclitaxel
Authors: Hasani Shima , Khalaj-Kondori Mohammad , Safaei Sahar , Amini Mohammad , Sorkhabi Amin Daei , Tabrizi Negin Riazi , Maghsoudi Mohadeseh , Baradaran Behzad 
Published: June 2023

Abstract
Background: Gastric cancer (GC) is a highly chemoresistant malignancy with a poor prognosis. Paclitaxel's low response rate as second-line chemotherapy for advanced GC has prompted intensive research into its molecular basis and prospective targeted therapies to enhance its therapeutic efficacy. The objective of this study was to investigate the synergistic effects of NRF2 silencing in combination with paclitaxel treatment on GC cell viability, apoptosis, proliferation, autophagy, and migration.
Methods: After the siRNA-mediated silencing of NRF2 in AGS cells, the transfection efficacy was evaluated by qRT-PCR. The MTT assay was then applied to assess cell viability, followed by flow cytometry analysis for apoptosis, proliferation, and autophagy in AGS cells treated with NRF2 siRNA, paclitaxel, or their combination. Thereafter, the migration of cells was measured using a wound-healing assay. Ultimately, the relative gene expression levels of apoptotic (Bax, Caspase-3, and Caspase-9), anti-apoptotic (Bcl-2), metastatic (MMP-2), and cell cycle (P53) genes were measured by qRT-PCR in all experiment groups to further assess the molecular basis for the combination therapy.
Results: NRF2 siRNA transfection significantly enhanced paclitaxel-induced apoptosis and sensitized AGS cells to paclitaxel via modulating the expression of apoptosis-related genes including Bcl-2, Bax, Caspase-3, and Caspase-9. Besides, NRF2 siRNA and paclitaxel synergistically induced cell cycle arrest at the G2 phase, promoted autophagy activation, and inhibited AGS cell migration via MMP-2 downregulation. Additionally, P53, a key regulator of cell growth, was significantly upregulated in the treated groups compared to the control group.
Conclusions: Our findings suggest that paclitaxel combined with siRNA-mediated silencing of NRF2 might represent a promising therapeutic strategy for GC, however further translational and clinical research are warranted.
Towards an intelligent malaria outbreak warning model Based Intelligent Malaria Outbreak Warning in Northern part Benin, West Africa
Authors: Gbaguidi Gouvidé Jean , Topanou Nikita , KETOH Guillaume K. 
Published: June 2023

Abstract
Background
Malaria is one of the major vector-borne diseases most sensitive to climatic change in West Africa. The prevention and reduction of malaria are very difficult in Benin due to poverty, economic insatiability the non-control of environmental determinants. This study aims to develop an intelligent outbreak malaria early warning model driven by monthly time series climatic variables in the Northern part of Benin.
Methods
Climate data from nine rain gauge stations and malaria incidence data from 2009 to 2021 were extracted respectively from the National Meteorological Agency (METEO) and the Ministry of Health of Benin. Projected relative humidity and temperature were obtained from the coordinated regional downscaling experiment (CORDEX) simulations of the Rossby Centre Regional Atmospheric regional climate model(RCA4).
A structural equation model was employed to determine the effects of climatic variables on malaria incidence. We developed an intelligent malaria early warning model to predict the prevalence of malaria. using machine learning by applying three machine learning algorithms including Linear regression (LiR), Support Vector Machine (SVM), and Negative Binominal Regression (NBiR).
Results
Two ecological factors affect the incidence of malaria. Support vector machine regression is the best-performing algorithm, predicting 82% of malaria incidence in the Northern part of Benin.
The projection reveals an increase in malaria incidence under RCP4.5 and RCP8.5 over the studied period.
Discussion
These results reveal that the northern part of Benin is at high risk of malaria and specific malaria control programs are urged to reduce the risk of malaria.
Biosorption of toxic metal Pb (II) by Bacillus isolated using in semi- industrial scale " moving bed biofilm reactor (MBBR)"
Authors: Ahmady-Asbchin Salman , Nasab Mohammad Akbari , Gerente Claire 
Published: June 2023

Abstract
This study involved the isolation of indigenous bacteria from heavy metal-contaminated environments that have the ability to bioabsorb heavy metals such as cadmium, nickel, and lead. The bioabsorption process was optimized by varying parameters such as temperature, metal concentration, number of bacteria, pH, and more. The bacterial isolates were investigated in terms of morphology, biochemistry, and phylogeny, with 12 strains chosen in the initial stage and one strain chosen in the final stage. A box and reactor were designed to house these optimized microorganisms. Based on biochemical, morphological, and molecular results, the isolated strain was found to be closely related to the Bacillus genus.In the first five steps of testing, the ideal pH for removing lead alone, lead with cadmium, lead with nickel, and lead ternary (with cadmium and nickel) by Bacillus bacteria was found to be 7, 6, 5.5, and 6.5, respectively. The absorption efficiency for single lead, lead together with nickel, cadmium, and ternary (lead with cadmium and nickel) was found to be 0.36, 0.25, 0.22, and 0.21 mmol/g, respectively. The ideal temperature for lead removal was around 30°C. The adsorption isotherm for each lead metal in different states was found to be similar to the Langmuir isotherm, indicating that the surface absorption process is a single-layer process. The kinetics of the process follows the second-order kinetic model. The amount of Bacillus bacteria biomass obtained during this process was approximately 1.5 grams per liter.
Effects of training flights of combat jet pilots on parameters of airway function, diffusing capacity and systemic oxidative stress, and their association with flight parameters
Authors: Bojahr Janina C. , Jörres Rudolf A. , Kronseder Angelika , Weber Frank , Ledderhos Carla , Roiu Immanuel , Karrasch Stefan , Nowak Dennis , Teupser Daniel , Königer Christian 
Published: June 2023

Abstract
Background: Fighter aircraft pilots are regularly exposed to physiological challenges from high acceleration (Gz) forces, as well as increased breathing pressure and oxygen supply in the support systems. We studied, whether effects on the lung and systemic oxidative stress were detectable after real training flights comprising a wide variety of exposure conditions and their combinations.
Methods: Thirty-five pilots of the German Air Force performed 145 flights with the Eurofighter Typhoon. Before and after flights, lung diffusing capacity for carbon monoxide (DLCO) and nitric oxide (DLNO), alveolar volume (VA), and diffusing capacities per volume (KCO, KNO) were assessed. Additionally, the fractional concentration of exhaled nitric oxide (FeNO) was determined, and urine samples for the analysis of molecular species related to 8-hydroxy-2’-deoxyguanosine (8-OHdG) were taken. For statistical analysis, mixed ANOVA models were used.
Results: DLNO, DLCO, KNO, KCO and VA were reduced (p<0.001) after flights, mean±SD changes being 2.9±5.0, 3.2±5.2, 1.5±3.7, 1.9±3.7 and 1.4±3.1%, respectively, while FeNO decreased by 11.1% and the ratio of 8-OHdG to creatinine increased by 15.7±37.8%. The reductions of DLNO (DLCO) were smaller (p<0.001) than those of KNO (KCO). In repeated flights on different days, baseline values were restored. Among various flight parameters comprising Gz-forces and/or being indicative of positive pressure breathing and oxygenation support, the combination of long flight duration and high altitude appeared to be linked to greater changes in DLNO and DLCO.
Conclusions: The pattern of reductions in diffusing capacities suggests effects arising from atelectasis and increased diffusion barrier, without changes in capillary blood volume. The decrease in exhaled endogenous NO suggests bronchial mucosal irritation and/or local oxidative stress, and the increase in urinary oxidized guanosine species suggests systemic oxidative stress. Although changes were small and not clinically relevant, their presence demonstrated physiological effects of real training flights in a modern 4th generation fighter jet.
An empirical study of an American flag football game course to promote Gross Motor and Physical Fitness in 5-6 year old preschoolers
Authors: Shi Zuozheng , Yang Xulin , Zhang Xinru , Xuan Shu , Li Jian , Zhu Weihua , Dai Yuxin , Guan Xuhan 
Published: June 2023

Abstract
Objective:To explore the effects of the Flag rugby game courses on the development of Gross Motor and physical fitness in 5-6 year old preschoolers.
Methods:Using the Flag rugby game courses as an intervention, a total of 56 preschool children aged 5-6 years (57.14% girls) were selected to participate in Class A and Class B through a random sampling method to see the effects of the flag rugby game courses on their Gross Motor and Physical Fitness.
Results:After 12W exercised，In the comparative analysis of subjects' Gross Motor and Physical Fitness test results.We found that the ExG differed significantly(P<0.01) in the test results of Gross Motor and Physical Fitness,and a 2 (group: ExG,ConG)×2 (time: 0w,12w) repeated measures ANOVA was performed and found was interacted significantly (P<0.001) in Total Locomotor Subject Score (F=38.287, p=0.000, ES=0.415),Total Object Control Subject Score(F=164.453, p=0.000, ES=0.753),Total Gross Motor Score (F=192.409, p=0.000, ES=0.781),and found was interacted significant (P<0.05) in Grip strength (F=5.030, p=0.029, ES=0.085),Sitting forward bending (F=6.957, p=0.011, ES=0.114),15m obstacle runing(F=4.185, p=0.046, ES=0.072),Walking the balance beam(F=7.504, p=0.008, ES=0.122).In the comparative analysis of the results of Gross Motor tests and Physical Fitness in subjects of different genders.The main effect of gender was significant (P<0.05) just in Total Object Control Subject Score (F=5.200,P=0.027,ES=0.850).The Group*Gender*Time interaction was significant(P<0.05) just in Horizontal Jump (F=5.177,P=0.027,ES=0.091).
Conclusion:It is recommended to promote the Flag rugby game program in the sports curriculum of preschool children aged 5-6 years old, which can improve the overall level of Gross Motor and Physical Fitness development of preschool children aged 5-6 years old.