bluuebunny/crossref_metadata_2025_split huggingface dataset:
SLC6A8 is a Potential Biomarker for Poor Prognosis in Lung Adenocarcinoma
Authors: Fan Yongfei , Zhou Yong , Lou Ming , Gao Zhaojia , Li Xinwei , Yuan Kai 
Published: May 2022

Background: Recent studies have demonstrated that creatine can promote tumor metastasis and has implications for immune cell function. SLC6A8 encodes a membrane protein that can transport creatine inside and outside the cell. However, there are currently no studies of SLC6A8 in lung adenocarcinoma (LUAD).Methods: In this study, the expression of SLC6A8 in LUAD was analyzed using the Oncomine database, the Cancer Genome Atlas (TCGA) database, and immunohistochemical staining analysis. Survival analysis of patients with LUAD was performed using the cBioPortal and the Kaplan-Meier Plotter websites and clinical follow-up data. An analysis of the association between SLC6A8 and the tumor immune microenvironment (TIME) of LUAD was performed through the TISIDB database and estimation of stromal and immune cells in malignant tumor tissues using expression data (ESTIMATE) algorithm. Then, based on the curated list of SLC6A8-related immunomodulators, three genes (NT5E, CD40LG, CD80) were selected to construct SLC6A8-related immune signatures to further evaluate the immune aspect of LUAD prognosis.Results: Our studies indicated that SLC6A8 was overexpressed in LUAD, and the high expression of SLC6A8 was associated with poor survival. Genetic alteration of SLC6A8 was also associated with a poorer prognosis. Furthermore, multivariate Cox analysis indicated that SLC6A8 could be used as an independent risk prognostic factor. Then, immune infiltration analysis indicated that SLC6A8 was also strongly associated with poor prognosis in the TIME of LUAD. A multivariate Cox proportional hazard model was then constructed, and was shown effective at identifying high-risk patients. Univariate and multivariate Cox analysis showed that the risk scoring of the model was an independent prognostic risk factor in LUAD.Conclusion:SLC6A8 may serve as a biomarker for poor prognosis in LUAD.
Engineering Silicon Oxide by Argon Ion Implantation for High Performance Resistance Switching
Authors: Zhao L. , Ng W. H. , Knights A. P. , Stevanovic D. V. , Mannion D. J. , Mehonic A. , Kenyon A. J. 
Published: May 2022

We report that implanting argon ions into a film of uniform atomic layer deposition (ALD)-grown SiOx enables electroforming and switching within films that previously failed to electroform at voltages &lt;15 V. We note an implantation dose dependence of electroforming success rate: electroforming can be eliminated when the dosage is high enough. Our devices are capable of multi-level switching during both set and reset operations, and multiple resistance states can be retained for more than 30,000 s under ambient conditions. High endurance of more than 7 million (7.9 × 106) cycles is achieved alongside low switching voltages (±1 V). Comparing SiOx fabricated by this approach with sputtered SiOx we find similar conduction mechanisms between the two materials. Our results show that intrinsic SiOx switching can be achieved with defects created solely by argon bombardment; in contrast to defects generated during deposition, implantation generated defects are potentially more controllable. In the future, noble ion implantation into silicon oxide may allow optimization of already excellent resistance switching devices.
Differential Effect of Generalized and Abdominal Obesity on the Development and Progression of Diabetic Retinopathy in Chinese Adults With Type 2 Diabetes
Authors: Han Xiaoyan , Wu Huimin , Li Youjia , Yuan Meng , Gong Xia , Guo Xiao , Tan Rongqiang , Xie Ming , Liang Xiaoling , Huang Wenyong , Liu Hua , Wang Lanhua 
Published: May 2022

BackgroundThe relationship between obesity and diabetic retinopathy (DR) remains controversial. The aim of this study was to assess the association of generalized obesity [assessed by body mass index (BMI)] and abdominal obesity [assessed by waist to hip ratio (WHR)] with incident DR, and vision-threatening DR (VTDR), and DR progression among Chinese adults with type 2 diabetic mellitus (T2DM).MethodThis prospective cohort study was conducted at the Zhongshan Ophthalmic Center, from November 2017 to December 2020. DR was assessed based on the 7-filed fundus photographs using the modified Airlie House Classification. Multivariable logistic regression models were used to evaluate the associations of BMI and WHR with the development and progression of DR after adjusting for age, sex, traditional risk factors, and mutually for BMI and WHR.ResultsAmong the 1,370 eligible participants, 1,195 (87.2%) had no sign of any DR and 175 (12.8%) had DR at baseline examination. During the 2 years follow-up visit, 342 (28.6%) participants had incident DR, 11 (0.8%) participants developed VTDR, 15 (8.6%) demonstrated DR progression. After adjusting for confounders, the BMI was negatively associated with incident DR [relative risk (RR) =0.31; 95% confidence interval (CI), 0.26–0.38; P &lt; 0.001] and incident VTDR (RR = 0.22; 95%CI, 0.11–0.43; P &lt; 0.001), while WHR was positively associated with incident DR (RR = 1.47; 95% CI, 1.27–1.71; P &lt; 0.001). BMI and WHR level were not significantly associated with 2-year DR progression in multivariate models (all P &gt; 0.05).ConclusionsThis study provides longitudinal evidence that generalized obesity confer a protective effect on DR, while abdominal obesity increased the risk of DR onset in Chinese patients, indicating that abdominal obesity is a more clinically relevant risk marker of DR than generalized obesity.
Protocol for a Phase 1, Open-Label, Multiple-Center, Dose-Escalation Study to Evaluate the Safety and Tolerability of ADR-001 in the Treatment of Immunoglobulin A Nephropathy
Authors: Tanaka Akihito , Furuhashi Kazuhiro , Fujieda Kumiko , Maeda Kayaho , Saito Shoji , Mimura Tetsushi , Saka Yosuke , Naruse Tomohiko , Ishimoto Takuji , Kosugi Tomoki , Kinoshita Fumie , Kuwatsuka Yachiyo , Shimizu Shinobu , Nakai Yasuhiro , Maruyama Shoichi 
Published: May 2022

IntroductionImmunoglobulin A (IgA) nephropathy is a disease that presents with urinary symptoms such as glomerular hematuria and urinary protein positivity, with predominant deposition of IgA in the mesangial region of the glomerulus. Corticosteroids are mainly used for treatment; however, infection is a serious adverse event, and evidence regarding therapeutic efficacy is insufficient, thus new treatments are strongly desired. Mesenchymal stem cells (MSCs) contribute to the amelioration of inflammation and recovery of organ function in inflammatory environments by converting the character of leukocytes from inflammatory to anti-inflammatory and inducing the proliferation and differentiation of organ component cells, respectively. These properties of MSCs have led to their clinical application in various inflammatory diseases, but this study is the first clinical trial of MSCs for refractory glomerulonephritis in the world. This study is registered and assigned the number, jRCT2043200002 and NCT04342325.MethodsThis will be a phase 1, open-label, multiple-center, dose-escalation study of adult patients with refractory IgA nephropathy resistant to or difficult to treat with existing therapies. ADR-001 will be administered intravenously to from three to six patients at a dose of 1 × 108 cells once in the first cohort and to six patients twice at 2-week intervals in the second cohort, and observation will continue until 52 weeks. The primary endpoint will be the evaluation of adverse events up to 6 weeks after the start of ADR-001 administration. Secondary endpoints will be the respective percentages of patients with adverse events, clinical remission, partial remission, remission of urine protein, remission of hematuria, time to remission, changes in urine protein, hematuria, and estimated glomerular filtration rate.ResultsFollowing the administration of ADR-001 to patients with IgA nephropathy, the respective percentages of patients with adverse events, asymptomatic pulmonary emboli, clinical remission, partial remission, urine protein remission, hematuria remission, their time to remission, changes in urine protein, hematuria, and glomerular filtration rate will be determined.ConclusionThis study will evaluate the safety and tolerability of ADR-001 and confirm its therapeutic efficacy in adult patients with refractory IgA nephropathy.
Research Hotspots and Trends of Exercise on Parkinson's Disease: A Global Bibliometric Analysis From 2012 to 2021
Authors: Chen Ji-Wei , Du Shu-Hao , Chen Tian-Cong , Zhu Kun 
Published: May 2022

BackgroundParkinson's disease is a chronic neurodegenerative disease, which can be alleviated in drug treatment, but with evident side effects. At the same time, increasing evidence shows that exercise can significantly improve the symptoms of patients with Parkinson's disease, with an effect that cannot be achieved by drug treatment. The related research on exercise on Parkinson's disease increases rapidly with the passage of time. However, the research analysis on Parkinson's disease by means of bibliometrics is rare. The purpose of this study is to perform a bibliometric analysis of the research hotspots and development trends of the global movement on Parkinson's disease from 2012 to 2021.MethodsThe literature was derived from the Web of Science core collection database, and the social science citation index was set as SCI-EXPANDED. The language was set to English, and the literature category was set as article and review and published from 2012 to 2021. CiteSpace and other software were used to analyze the relationship among published documents, countries, institutions, journals, authors, references, disciplines, and keywords.ResultsA total of 2,222 articles were included in the analysis. The analysis showed that the publication volume increased with the increase in years, with a total of 76 countries and 546 academic journals published; the largest number was that of the United States. The journals are mainly concentrated in the fields of neurology, sports, and ophthalmology. Rush University and Movement Disorders journals are the main institutions and journals. The cited keywords show that trial, cognition, and interference are the research hotspots and development trends in recent years.ConclusionThe number of published articles on Parkinson's disease by exercise has increased rapidly in the past 10 years, and the bibliometric analysis can provide useful information for future research teams and researchers.
Association of CT-Based Delta Radiomics Biomarker With Progression-Free Survival in Patients With Colorectal Liver Metastases Undergo Chemotherapy
Authors: Ye Shuai , Han Yu , Pan XiMin , Niu KeXin , Liao YuTing , Meng XiaoChun 
Published: May 2022

Predicting the prognosis of patients in advance is conducive to providing personalized treatment for patients. Our aim was to predict the therapeutic efficacy and progression free survival (PFS) of patients with liver metastasis of colorectal cancer according to the changes of computed tomography (CT) radiomics before and after chemotherapy.MethodsThis retrospective study included 139 patients (397 lesions) with colorectal liver metastases who underwent neoadjuvant chemotherapy from April 2015 to April 2020. We divided the lesions into training cohort and testing cohort with a ratio of 7:3. Two - dimensional region of interest (ROI) was obtained by manually delineating the largest layers of each metastasis lesion. The expanded ROI (3 mm and 5 mm) were also included in the study to characterize microenvironment around tumor. For each of the ROI, 1,316 radiomics features were extracted from delineated plain scan, arterial, and venous phase CT images before and after neoadjuvant chemotherapy. Delta radiomics features were constructed by subtracting the radiomics features after treatment from the radiomics features before treatment. Univariate Cox regression and the Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression were applied in the training cohort to select the valuable features. Based on clinical characteristics and radiomics features, 7 Cox proportional-hazards model were constructed to predict the PFS of patients. C-index value and Kaplan Meier (KM) analysis were used to evaluate the efficacy of predicting PFS of these models. Moreover, the prediction performance of one-year PFS was also evaluated by area under the curve (AUC).ResultsCompared with the PreRad (Radiomics form pre-treatment CT images; C-index [95% confidence interval (CI)] in testing cohort: 0.614(0.552-0.675) and PostRad models (Radiomics form post-treatment CT images; 0.642(0.578-0.707), the delta model has better PFS prediction performance (Delta radiomics; 0.688(0.627-0.749). By incorporating clinical characteristics, CombDeltaRad obtains the best performance in both training cohort [C-index (95% CI): 0.802(0.772-0.832)] and the testing cohort (0.744(0.686-0.803). For 1-year PFS prediction, CombDeltaRad model obtained the best performance with AUC (95% CI) of 0.871(0.828-0.914) and 0.745 (0.651-0.838) in training cohort and testing cohort, respectively.ConclusionCT radiomics features have the potential to predict PFS in patients with colorectal cancer and liver metastasis who undergo neoadjuvant chemotherapy. By combining pre-treatment radiomics features, post-treatment radiomics features, and clinical characteristics better prediction results can be achieved.
Thyroid Cancer Screening Using Tumor-Associated DN T Cells as Immunogenomic Markers
Authors: Imam Shahnawaz , Paparodis Rodis D. , Rafiqi Shafiya Imtiaz , Ali Sophia , Niaz Azra , Kanzy Abed , Tovar Yara E. , Madkhali Mohammed A. , Elsherif Ahmed , Khogeer Feras , Zahid Zeeshan A. , Sarwar Haider , Karim Tamanna , Salim Nancy , Jaume Juan C. 
Published: May 2022

BackgroundThyroid nodules are an extremely common entity, and surgery is considered the ultimate diagnostic strategy in those with unclear malignant potential. Unfortunately, strategies aiming to predict the risk of malignancy have inadequate specificity. Our group recently found that the microenvironment of thyroid cancer is characterized by an enhanced immune invasion and activated immune response mediated by double-negative T lymphocytes (DN T) (CD3+CD4-CD8-), which are believed to enable or promote tumorigenesis. In the present work, we try to use the DN T cells’ proportion in thyroid fine-needle aspiration (FNA) material as a predictor of the risk of malignancy.MethodsWe recruited 127 patients and obtained ultrasound-guided FNA samples from subjects with cytology-positive or suspicious for malignancy and from those with benign nodular goiter associated with compressive symptoms (such as dysphagia, shortness of breath, or hoarseness), Hashimoto thyroiditis, and Graves’ disease. Out of 127, we investigated 46 FNA samples of patients who underwent total thyroidectomy and for which postoperative histological diagnosis by the academic pathologists was available. We specifically measured the number of cells expressing CD3+CD4-CD8-(DN T) as a function of total CD3+cells in FNA samples using flow cytometry. We correlated their FNA DN T-cell proportions with the pathological findings.ResultsThe DN T cells were significantly more abundant in lymphocytic infiltrates of thyroid cancer cases compared to benign nodule controls (p &lt; 0.0001). When the DN T-cell population exceeded a threshold of 9.14%, of total CD3+cells, the negative likelihood ratio of being cancer-free was 0.034 (96.6% sensitivity, 95% CI, 0.915–1.000, p &lt; 0.0001). DN T cells at &lt;9.14% were not found in any subject with benign disease (specificity 100%). The high specificity of the test is promising, since it abolishes a false-positive diagnosis and in turn unnecessary surgical procedures.ConclusionThe present study proposes DN T cells’ proportion as a preoperative diagnostic signature for thyroid cancer that with integration of RNA transcriptomics can provide a simplified technology based on the PCR assay for the ease of operation.
Development of a Nomogram for Clinical Risk Prediction of Preterm Neonate Death in Ethiopia
Authors: Hailemeskel Habtamu Shimels , Tiruneh Sofonyas Abebaw 
Published: May 2022

IntroductionIn 2020, over 6,500 newborn deaths occured every day, resulting in 2.4 million children dying in their 1st month of life. Ethiopia is one of the countries that will need to step up their efforts and expedite progress to meet the 2030 sustainable development goal. Developing prediction models to forecast the mortality of preterm neonates could be valuable in low-resource settings with limited amenities, such as Ethiopia. Therefore, the study aims to develop a nomogram for clinical risk prediction of preterm neonate death in Ethiopia in 2021.MethodsA prospective follow-up study design was employed. The data were used to analyze using R-programming version 4.0.3 software. The least absolute shrinkage and selection operator (LASSO) regression is used for variable selection to be retained in the multivariable model. The model discrimination probability was checked using the ROC (AUROC) curve area. The model’s clinical and public health impact was assessed using decision curve analysis (DCA). A nomogram graphical presentation created an individualized prediction of preterm neonate risk of mortality.ResultsThe area under the receiver operating curve (AUROC) discerning power for five sets of prognostic determinants (gestational age, respiratory distress syndrome, multiple neonates, low birth weight, and kangaroo mother care) is 92.7% (95% CI: 89.9–95.4%). This prediction model was particular (specificity = 95%) in predicting preterm death, with a true positive rate (sensitivity) of 77%. The best cut point value for predicting a high or low risk of preterm death (Youden index) was 0.3 (30%). Positive and negative predictive values at the Youden index threshold value were 85.4 percent and 93.3 percent, respectively.ConclusionThis risk prediction model provides a straightforward nomogram tool for predicting the death of preterm newborns. Following the preterm neonates critically based on the model has the highest cost-benefit ratio.
The Impact of the COVID-19 Pandemic on China's Airline Industry
Authors: Zhang Yuan , Zhu LinChuang , Hao Feng 
Published: May 2022

BackgroundThe COVID-19 pandemic has posed a great challenge to the development of China's airline industry. Although the existing literature has analyzed the economic impact of the pandemic on the airline industry from different perspectives, it remains to be further studied given the operating characteristics of different types of airlines in China.MethodsUsing a new perspective of heterogeneous airline service models, this study collects high-frequency data on stock prices on six sample airline companies (including both full-service airlines and low-cost airlines) in China over 519 trading days, from August 1, 2019 to September 15, 2021, and identifies structural change points for each company's stock price using the Quandt-Andrews test. The outcome is used to construct an econometric model to quantify the economic impact of the pandemic on different airlines' stock prices under different structural changes.ResultsAll results have passed the Quandt-Andrews test. The impact coefficient of full-service airlines is negative, while that of low-cost airlines is positive. Most of them have passed the test at the significance level of 10%.ConclusionsAll Chinese airlines experienced significant sudden changes in stock prices due to the pandemic, but there are sectoral differences in the order of the sudden changes, with full-service airlines experiencing structural changes much earlier than low-cost airlines. In addition, the impact of the pandemic on stock prices varies across airline types, with a negative impact on full-service airlines and a significant positive effect on most low-cost airlines.
Online Food Delivery: An Overview and Bibliometric Analysis
Authors: Badenes-Rocha Alberto , Enrique Bigne  , Carla Ruiz  
Published: May 2022

Academic works on online food delivery so far have focused on the economic and social aspects of OFD. The economic interest and evolution of this activity sector contrasts with a scarce and fragmented approach from the academic perspective. This work intends to account for the existing literature on online food delivery through a descriptive and bibliometric mapping analysis. A bibliometric analysis was performed using Microsoft Excel and VOSviewer, a platform for analysing bibliometric networks. The results show an increasing interest on the topic, that start booming in 2019. Sources that gather online food delivery articles usually belong to one of two kinds: 1) customer-related variables in tourism and hospitality and 2) business/management publications. Since it is an emerging research area, not many authors hold a distinguished position in terms of articles published, with leading authors holding no more than 4 articles. Analysing keyword co-occurrence we find differentiated thematic approaches: technological support and features of online food delivery, health issues related to food delivery, logistic chain of food delivery and a particular field of interest relating it to COVID-19.
This work contributes to literature by outlining the different theoretical basis considered in OFD research, and providing practical implications for a variety of agents (suppliers, restaurants, retailers, etc.). Guidelines for future research are offered in this emerging and relevant field of interest.
Demand for Domestic Marine and Coastal Tourism Demand for Domestic Marine and Coastal Tourism
Authors: Deely John 
Published: May 2022

Domestic marine and costal tourism has increased in importance over the last number of years due to the impacts of international travel, environmental concerns, associated health benefits and COVID-19 related travel restrictions. Consequently, this paper conceptualizes domestic marine and coastal tourism within an economic framework. Two logit models examine the factors that influence participation in the coastal day trips and overnight stays markets, respectively. Two truncated travel cost models are employed to explore trip duration, one analyzing the number of day trips taken and the other examining the number of nights spent in marine and coastal areas. Although a range of variables predict participation, no one variable had a significant and consistent affect in every model. A division in access to domestic marine and coastal tourism is also observed based on variation in household income. The results also indicate a vibrant day trip market and large consumer surpluses.
The decision to use logit participation models and travel cost models applied to day trips and overnight stays is a direct result of the audiences this paper aims to inform. Firstly, by presenting the decision making process for domestic marine and coastal tourism in this depth, evidence based decision makers can gather a better understanding of how domestic tourist decided to participate in marine and coastal tourism, who the larger beneficiary are of the different types of marine and coastal tourism and how policy focused solely on overnight stays can adversely affect particular segment of society, often those less well off financially. Secondly, the academic literature has presented a dearth of information comparing day trip participation to overnight stays in marine and coastal tourism, as such, this paper provides a valuable source of information.