bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel cuprotosis-related lncRNA signature effectively predicts prognosis in glioma patients
Authors: Wang Xiang Yu , Ballah Augustine K. , Che Wen Qian , Wu Shuaishuai 
Published: April 2022

Abstract
Cuprotosis is a novel and different cell death mechanism from the existing known ones that can be used to explore new approaches to treating cancer. Just like ferroptosis and pyroptosis, cuprotosis-related genes regulate various types of tumorigenesis, invasion and metastasis. However, the relationship between cuprotosis related long non-coding RNA (cuprotosis-related lncRNA) in glioma development and prognosis has not been investigated. We obtained relevant data from the Genotype-Tissue Expression (GTEx), Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA) and published articles. First, we identified 365 cuprotosis-related lncRNAs based on 10 cuprotosis-related differential genes (|R2|>0.4, p < 0.001). Then using lasso and Cox regression analysis methods, 12 prognostic cuprotosis-related lncRNAs were obtained and constructed the CuLncSigi risk score formula. Our next step was to divide the tumor gliomas into two groups (high-risk and low-risk) based on the median risk score, and we found that patients in the high-risk group had a significantly worse prognosis. We used internal and external validation methods to simultaneously analyze and validate that the risk score model has good predictive power for patients with glioma. Next, we also performed enrichment analyses such as GSEA and aaGSEA and evaluated the relationship between immune-related drugs and tumor treatment. In conclusion, we successfully constructed a formula of cuprotosis-related lncRNAs with a powerful predictive function. More importantly, our study paves the way for exploring cuprotosis mechanisms in glioma occurrence and development, and helps to find new relevant biomarkers for glioma early identification and diagnosis and to investigate new therapeutic approaches.
Numerical optimization of guaco leaves extraction based on pre-heat treatment
Authors: Martins Marina Roberto , Johann Gracielle , Palú Fernando , Silva Edson Antonio 
Published: April 2022

Abstract
The mass yield of the extraction is influenced directly by the pre-treatment conditions of the raw material. In the case of leaves, drying is required to ensure their biological stability and is a pre-processing step that demands large amounts of thermal energy. In the present study, the oil extraction process was numerically optimized, considering the influence of the pre-heat treatment of the guaco leaves. An operating range between 30 and 70 oC, 1.0 and 5.0 m/s, and recirculation between 0 and 1 was evaluated. The minimum ratio of energy consumption of drying by the amount of oil obtained after extraction (4.05×105 kWh/kg) was obtained under the optimal conditions of 30.02 oC, 1.0 m/s, and 0.129 of air recycling flow rate. With our results, it is possible to guarantee safety in the storage of guaco leaves, in addition to optimizing the extraction process, maximizing the obtaining of the oil mass, and reducing energy consumption in the drying step.
The beneficial clinical effects of teriflunomide in experimental autoimmune myasthenia gravis and the investigation of the possible immunological mechanisms
Authors: Koseoglu Emel , Sungur Neslihan , Muhtaroglu Sabahattin , Eken Ahmet 
Published: April 2022

Abstract
Myasthenia Gravis (MG) is an autoantibody-mediated autoimmune disease characterized by skeletal muscle weakness exacerbated with exercise. There is a need for novel drugs effective in refractory MG patients. We aimed to test the potential of teriflunomide, an immunomodulatory drug currently used in rheumatoid arthritis and multiple sclerosis treatment, in a murine experimental autoimmune myasthenia gravis (EAMG) model. EAMG was induced by immunizations with recombinant acetylcholine receptor (AChR). Teriflunomide treatment (10 mg/kg/day, intraperitoneal) was initiated to one group of mice (n=21) following the third immunization and continued for five weeks. The disease control group (n=19) did not receive medication. Naïve mice (n=10) received only mock immunization. In addition to the clinical scorings, the numbers of B cells and T cells, and cytokine profiles of T cells were examined by flow cytometry. Anti-AChR specific antibodies in the peripheral blood serum were quantified by ELISA. Teriflunomide significantly reduced clinical disease scores and the absolute numbers of CD4+ T cells and some of their cytokine producing subgroups (IFN-γ, IL-2, IL-17A, GM-CSF) in the spleen and the lymph nodes. The thymic CD4+ T cells were also significantly reduced. Teriflunomide mostly spared CD8+ T cells’ numbers and cytokine production, while reducing CD138+CD19+ lambda+ plasma B cells’ absolute numbers and CD138 mean fluorescent intensities, probably decreasing the number of IgG secreting more mature plasma cells. It also led to some selective changes in the measurements of anti-AChR specific antibodies in the serum. Our results showed that teriflunomide may be beneficial in the treatment of MG in humans.
Identifying miRNA signature for predicting and treatment of breast cancer using the transcriptomic data of 7,000 breast tumors
Authors: Davarinejad Omran , Mohammadi Payam , Ghavi Davood , Golmohammadi Farzaneh , Foruzandeh Zahra , Alivand MohammadReza , Rahmati Yazdan 
Published: April 2022

Abstract
The high mortality rate in Breast Cancer (BC) is largely due to the difficulty of early detection and inadequate accuracy of the current diagnostic approaches. In this study, we investigated serum and tumor miRNA profiles of 1800 breast cancer miRNA expression profiles of GEO (Gene Expression Omnibus) and also more than 2500 patients in TCGA (The Cancer Genome Atlas) database. After data analysis by some packages like Limma, and WGCNA, we selected 6 hub miRNAs. Then by collecting serum samples of 100 breast cancer patients, real-time PCR was performed and the diagnosis performance of hub miRNAs was evaluated by ROC curve. Due to more validation, Kaplan-Meier Plot of hub miRNAs was evaluated by 1262 BC samples using METABRIC database. The target genes of 6 hub miRNAs were investigated using Mirbase, Mirtarbase, Targetscan, and TransmiR and after the identification of target genes, their expression was evaluated in 1600 BC samples using GEO database. Finally, six miRNAs including Hsa-miR-151a-5p, Hsa-miR-34a-5p, Hsa-miR-1307-3p, Hsa-miR-450b-5p, Hsa-miR-501-3p, and Hsa-miR-532-5p were introduced as effective biomarkers of BC.
Interannual Variations of Heat Budget over the Eastern Ross Sea Shelf and the Forcing Mechanisms
Authors: Chen Yuanjie , Zhang Zhaoru , Wang Xuezhu , Liu Xiaohui , Zhou Meng 
Published: April 2022

Abstract
The temporal variation of heat budget in the subsurface layer of the eastern Ross Sea shelf (ERSS) is crucial for understanding the stability of ice shelves in the Ross Sea. In this study, six-year simulations from the Southern Ocean State Estimate (SOSE) are employed to analyze the interannual variations of heat budget in the subsurface layer of ERSS and the controlling mechanisms. The results reveal that the annual change in the heat content of the study region is dominated by the horizontal heat advection term, and only in one year the vertical advection and diffusion terms also play an important role. The horizontal advection term is co-affected by the intrusion of warm circumpolar deep water (CDW) onto the shelf across the northern boundary of ERSS, the transport of cold high salinity shelf water (HSSW) from the western Ross Sea shelf (WRSS), and the transport of CDW across the western boundary of ERSS. Contributions from these physical processes to the change of annual heat content vary over the years. The interannual variation of the CDW intrusion is modulated by the strength of eddy activities over the slope, and the interannual variation of heat transports related to HSSW is affected both by the extent of HSSW on the western shelf and coastal circulations that affect the eastward spreading of HSSW.
WITHDRAWN: Bilateral Aspergillosis endogenous endophthalmitis in post COVID-19 recovered patient; a clinical case report
Authors: Zia Zahra , Johari Mohammad Karim 
Published: April 2022

Abstract
Purpose: To describe a case of bilateral Aspergillosis endogenous endophthalmitis in post COVID-19 recovered patient.Case presentation: 54-year-old man presented with bilateral decreased vision three weeks after post-Covid hospitalization discharge. Initially, he was diagnosed as noninfectious uveitis and by mistake treated with systemic prednisolone. Subsequently, after positive vitreous sample PCR result for Aspergillus fumigatus, he was properly treated with systemic voriconazole.Conclusion: According to the possibility of Aspergillosis EE in post-COVID-19 patients, this article highlights the need for an in-depth examination of the fundus of patients who have ocular symptoms after COVID-19 and takes fungal pathogens into account.
Acute Corneal Graft Rejection Following COVID-19 Vaccination
Authors: Eleiwa Taher K. , Haseeb Abid , Sharawy Amr I. , Higazy Mohamed T. 
Published: April 2022

Abstract
Purpose
To describe a case of acute corneal endothelial rejection as early as 3 days following the second dose of the Moderna messenger RNA-1273 corona virus-19 (COVID-19) vaccine.
Observations:
An 81-year-old patient who had a penetrating keratoplasty 1 month earlier for a pseudophakic bullous keratopathy developed acute corneal graft rejection 3 days after the second dose of COVID-19 vaccine. Despite 4 weeks after intensive treatment, the corneal graft eventually failed.
Conclusions and Importance
: Although a direct causative effect is difficult to establish, the timeline of events beginning after the COVID-19 vaccination supports that it might have triggered the rejection episode. Consistent advice must be given to corneal transplant surgeons and patients regarding such possibility and the importance of the follow up after having the vaccination.
Nitrative inactivation of thioredoxin-1 loses its protective effect in bleomycin-induced pulmonary fibrosis
Authors: Wang Lei , Xu Wan-yang , Tang Yi-wen , Hu Feng 
Published: April 2022

Abstract
Background
Pulmonary fibrosis is common in the development of inflammatory lung diseases with no effective clinical drug treatment currently. As an essential redox enzyme, thioredoxin (Trx) has been reported to be involved in pulmonary fibrosis, but the mechanism is to be revealed.
Methods
Bleomycin-indued pulmonary fibrosis mouse model was established, Trx activity and nitrated Trx were examined. p38-MAPK apoptosis pathway was determined in lung tissues. Additionally, before BLM administration, C57/BL6 mice were treated with aminoguanidine (AG, a peroxynitrite scavenger), recombinant human Trx-1 (rhTrx-1), or SIN-1 (a peroxynitrite donor) nitrated Trx-1 (N-Trx-1).
Results
In bleomycin (BLM)-induced pulmonary fibrosis model in C57/BL6 mice, we observed that nitrated Trx increased, while its activity decreased, with the increase of lung cells apoptosis rate by p38-MAPK pathway. We demonstrated that AG or rhTrx-1, but not N-Trx-1 significantly reduced pulmonary fibrosis.
Conclusion
Blockade of Trx-1 nitration, or supplementation of exogenous rhTrx-1, might represent novel therapies to attenuate pulmonary fibrosis in idiopathic pulmonary fibrosis patients.
Fibrinogen function indexes are potential biomarkers for evaluating the occurrence and severity of diabetic foot
Authors: Zhang Jinying , Lin Jiayu , Liang Bo , Chen Lijun , Yang Xinna , Li Mimi 
Published: April 2022

Abstract
Background and objectives:
Research suggests that fibrinogen (Fib) concentrations are used to assess the occurrence and severity of diabetic foot (DF) and to monitor the progression of diabetic foot in patients. However, its correlation with Fib function has not been reported. Here, angle α and k value, reflecting the Fib function, were used to analyse its correlation with DF, and their potential as biological indicators for evaluating the occurrence and severity of DF was explored.
Subjects and methods:
This clinical study enrolled 163 type 2 diabetes mellitus (T2DM) patients, who were divided into the diabetes with DF (84 cases) group, diabetes with no DF (79 cases) group. Meanwhile, 90 healthy unrelated subjects were enrolled as controls.
Results
Angle α and fibrinogen levels increased greatly in subjects with DF compared with those without. The k value levels greatly decreased in subjects with DF compared with those without (P < 0.01). Spearman correlation analysis showed that angle α and fibrinogen were positively correlated with DF grading (r = 0.635, P < 0.01; r = 0.616, P < 0.01), k value was negatively correlated with DF (r= -0.589, P < 0.01). ROC curve analysis showed that the optimal cut-off point for angle α to distinguish patients with DF from those without was 62.85 deg, with a sensitivity of 78.6% and specificity of 78.7%. The optimal cut-off point for k value was 1.75 min, with a sensitivity of 82.1% and specificity of 65.8%. The optimal cut-off point for fibrinogen was 3.85 g/l, with a sensitivity of 63.1% and specificity of 98.2%. The optimal cut-off point for angle α to evaluate the risk of diabetic foot progression was 70.20 deg, with a sensitivity of 73.2% and specificity of 90.7%. The optimal cut-off point for k value was 1.25 min, with a sensitivity of 67.9% and specificity of 90.8%. The optimal cut-off point for fibrinogen was 4.12 g/l, with a sensitivity of 85.7% and specificity of 93.5%.
Conclusions
Angle α, k-value and fibrinogen have clinical significance on the risk of occurrence and development of diabetic foot, which can contribute to early diagnosis and early clinical intervention in DF.
WITHDRAWN: Long-Term Prediction of Network Security Situation Through the Use of the Transformer-Based Model
Authors: Yin Kun , Yang Yu , Yao Chengpeng , Yang Jinwei 
Published: April 2022

Abstract
In recent years, the Internet has shown rapid development, and network security issue has gradually become the focus of research by scholars and enterprises. Network security time series is a reliable source to obtain future network security situation, so as to develop network security defense strategy by exploring the correlation of time series. The network security time series is a reliable source to obtain the future network security situation, and it is the main direction of current network security defense by exploring the correlation of time series, and analyzing the future network security situation so as to formulate network security defense strategies. This is the main direction of network security defense. The existing research focuses on the short-term prediction of network attacks, and the robustness and accuracy of long-term prediction still have big problems. To fuse the information from different data sources and capture the correlation between sequences, we design a data source selection module based on the similarity of measurement curves. We then model the network security situation prediction based on deep learning models and propose a situation prediction model based on Temporal Convolutional Network (TCN)-combined Transformer, which focuses on the time series long-term prediction problem, combining the network condition and attack situation to obtain the future network security situation. Our proposed model is divided into three parts, which are the information encoding module, the information synthesis module, and situation value calculation and prediction accuracy evaluation module. The selected multi-dimensional situations element data are used as model input, and the TCN-combined Transformer is employed as the network security situational data processing unit to complete the information fusion and prediction tasks. Finally, the role of data source selection on prediction accuracy is evaluated using an ablation study. We experimented and evaluated the model at different prediction horizon lengths using five existing baseline models and three performance metrics. The experimental results show that our proposed prediction model has better robustness and accuracy in most of the metrics.
Pilot study of a novel nanobody 68Ga-NODGAG-SNA006 for instant PET imaging of CD8+ T cells
Authors: Wang Yan , Wang Chao , Huang Minzhou , Qin Songbin , Zhao Jun , Sang Shibiao , Zheng Meng , Bian Yicong , Huang Chenrong , Zhang Hua , Guo Linchuan , Jiang Jiwei , Xu Chun , Dai Na , Zheng Yushuang , Han Jiajun , Yang Min , Xu Tao , Miao Liyan 
Published: April 2022

Abstract
Purpose Positron emission tomography (PET) with specific diagnostic probes for quantifying CD8+ T cells has emerged as a powerful technique for monitoring immune response. However, currently, most CD8+ T cell radiotracers are based on antibodies or antibody fragments, which are slowly cleared from circulation. Herein, we aimed to develop and assess 68Ga-NODAGA-SNA006 for instant PET (iPET) imaging of CD8+ T cells.Methods A novel nanobody without a hexahistidine (His6) tag, SNA006-GSC, was designed and site-specific conjugated with NODAGA-maleimide and radiolabeled with 68Ga. The PET imaging profiles of 68Ga-NODAGA-SNA006 were evaluated in BALB/c MC38-CD8+/CD8- tumor models and cynomolgus monkeys. Three lung cancer volunteers underwent whole-body PET/CT imaging after 68Ga-NODAGA-SNA006 administration. Biodistribution, pharmacokinetics and dosimetry of patients were also investigated. In addition, combined with immunohistochemistry (IHC), the quantitative performance of the tracer to monitor CD8 expression was evaluated in BALB/c MC38-CD8+/CD8- and human subjects.Results 68Ga-NODAGA-SNA006 was prepared with RCP>98% and SA>100 GBq/µmol. 68Ga-NODAGA-SNA006 exhibited specific tumor uptake in MC38-CD8+ tumors of xenografts, CD8-rich tissues (such as the spleen) of monkeys and CD8+ tumor lesions of patients within 1 h. Fast washout from circulation appeared in three volunteers (t1/2<20 min). A preliminary quantitative linear relationship (R2=0.9668, p<0.0001 for xenografts and R2= 0.7924, p=0.0013 for lung patients) appeared between 68Ga-NODAGA-SNA006 uptake and CD8 expression. 68Ga-NODAGA-SNA006 was well tolerated in all patients.Conclusion 68Ga-NODAGA-SNA006 PET imaging can instantly quantify CD8 expression with an ideal safety profile and is expected to be important for dynamically tracking CD8+ T cells and monitoring immune responses for individualized cancer immunotherapy.Trial Registration NCT05126927 (19 November 2021, retrospectively registered).
Grouping effects and cost influencing factors of DRG in orthopedic spine surgery cases
Authors: Luo Ming-wei , Luo Ming-yang , Xie Shi-wei , Pang Jie , Yan Jing 
Published: April 2022

Abstract
Objective: Analyzing the grouping effect of DRG in orthopedic spine surgery and influencing factors of hospitalization expenses, so as to provide the basis for DRG payment reform and control of medical expenses.Methods:The information of 248 cases of spinal surgery in sample hospitals was analyzed statistically, the grouping effect of DRG was evaluated by the coefficient of variation, and the influencing factors of hospitalization expenses were analyzed by single factor analysis and multiple stepwise regression analysis.Results:Patients who underwent orthopedic spine surgery were divided into three DRG groups: IB19, IB21 and IB23, with CV values of 0.37, 0.47 and 0.44, respectively, all of which were less than 0.5. Univariate analysis showed that age, comorbidities, hospital stay, critical illness and anesthesia mode affected hospital expenses, and the differences were statistically significant (P < 0.05). Payment method and gender did not affect the hospitalization expenses, and the difference was not statistically significant (P>0.05). Stepwise regression analysis showed that comorbidities, hospitalization time, dying or seriously ill, anesthesia method and age were the main influencing factors of hospitalization expenses.Conclusion: The grouping of DRG in spine surgery cases can objectively reflect the level of medical resource consumption. Hospitals should use DRG payment reform as a breakthrough to promote clinical pathway management, standardize diagnosis and treatment procedures, shorten hospital stay, and control the unreasonable growth of medical expenses.
Emergence, feeding and oviposition behaviour of Anopheles arabiensis: a vector from Mamfene in KwaZulu-Natal (South Africa)
Authors: Maharaj Rajendra , Lakan Vishan , Maharaj Kiash 
Published: April 2022

Abstract
Background
Malaria is a disease of public health importance. To eliminate malaria from KwaZulu-Natal, new strategies are needed to increase the impact of existing interventions. Greater attention is being given to controlling the larval stages, as a complementary measure to indoor residual spraying. However, there is limited information available on bionomics of this South Africa mosquito vector. To fill ithe knowledge gaps in vector bionomics, this study interrogated the emergence, feeding and oviposition behaviour of Anopheles arabiensis.
Methods
To observe the number of eggs laid per F1 An. arabiensis female, 300 fully gravid mosquitoes were individually placed into breeding tubes which were observed hourly from 18h00 to 06h00 and number of eggs laid by each female was recorded. Egg hatch rate was measured. Immediately after oviposition, the female mosquitoes were offered a blood meal to determine the duration post laying it took to refeed. To observe emergence times and sex ratios, a total of 4000 F1 pupa were placed in large containers which were observed hourly from 18h00 to 06h00. The newly erupted mosquitoes were collected and placed in bug-dorm cages. A sample of the newly erupted female mosquitoes were removed from the cages and placed individually into a test container and offered a blood meal. The female was then observed for a probing behaviour indicating its willingness to feed.
Results
Oviposition studies revealed two peaks corresponding with late evening and just before dawn. Most eggs were laid in the first half of the night (18h00 – midnight). Most mosquitoes erupted just after sunset and the sex ratios showed twice as many females as males emerged from pupae. Females readily took a bloodmeal after oviposition or just after emerging. Hatch rate to viable first instar larvae was 74.5%.
Conclusions
This study provided information on egg laying, hatch rates, emergence times, feeding behavior and sex ratios. The sex ratio of emerging mosquitoes is biased to females. The feeding behaviour suggests that the use of control interventions close to known vector breeding sites would be a tool to eliminate many males and females seeking sustenance soon after emergence or oviposition.