bluuebunny/crossref_metadata_2025_split huggingface dataset:
Elevated Ambulatory Blood Pressure Measurements Are Associated With a Progressive Form of Fabry Disease
Authors: Rossi Federica , Svarstad Einar , Elsaid Hassan , Binaggia Agnese , Roggero Letizia , Auricchio Sara , Marti Hans-Peter , Pieruzzi Federico 
Published: August 2020

Abstract
Background and objectivesPublished data on hypertension incidence and management in Anderson-Fabry disease are scanty and it remains to be shown how much an elevated blood pressure contributes to the patient’s organ damage. Therefore, we have assessed blood pressure values and their correlations with clinical findings in a cohort of Fabry patients.MethodsBetween January 2015 and May 2019, all adult Fabry patients (n = 32; n = 24 females, n = 8 males) referred to our institute were enrolled. Data regarding hypertension were obtained by ambulatory blood pressure monitoring, home self-monitoring and repeated office measurements. Organ involvement and hypertension risk factors were also evaluated.ResultsThe ambulatory monitoring revealed elevated blood pressure in 18.75% (n = 6) of the Fabry population and 50% of this group was diagnosed with masked hypertension. All these patients were females and they presented a lower glomerular filtration rate and a more advanced cardiac hypertrophy compared with normotensive subjects. They were mostly (66.7%) affected by a progressive form of the disease while the majority of the normotensives (84.6%) were stable. No correlation was found between the category of GLA mutation and the development of hypertension.ConclusionNewly detected hypertension can be found in a restricted portion of stable Fabry patients while it becomes more prevalent among clinically progressive cases. The use of the ambulatory blood pressure monitoring is of paramount importance to reveal masked hypertension which can contribute to the progressive worsening of the organ damage. Therefore, a proper diagnosis and therapy of hypertension may improve the outcome of Fabry patients.
Inhibitory Effects of Circulating Natural Autoantibodies to CD47-derived Peptides on Oral Squamous Cell Carcinoma Cells
Authors: Liu Xiu , Meng Qingyong , He Ziyi , Dong Rui , Hu Ying 
Published: August 2020

Abstract
Background

Natural autoantibodies serve as an important anti-tumorigenic system due to its immune surveillance function. The present study aims to investigate whether circulating natural IgG autoantibodies against cluster of differentiation 47 (CD47) could inhibit the proliferation of oral squamous cell carcinoma (OSCC) cells.
Methods

The expression of 14 tumor-targeted genes in three OSCC cell lines was analyzed with quantitative real-time PCR. The in-house enzyme-linked immunosorbent assay (ELISA) was then performed to detect plasma IgG antibodies against CD47. Three OSCC cell lines were treated with 20% human plasma positive and negative for anti-CD47 IgG, respectively, followed by analysis of cell proliferation, apoptosis and invasion/metastasis.
Results

CD 47 showed highest expression among all 14 genes detected in three OSCC cell lines. Plasma anti-CD47 IgG significantly inhibited the viability of all three OSCC cell lines. The proportions of apoptotic cells were remarkably higher in OSCC cells treated with anti-CD47 IgG-positive plasma than those treated with IgG-negative plasma. Furthermore, the cell invasion/metastasis was attenuated evidently with the attribution of plasma anti-CD47 IgG.
Conclusions

Natural autoantibodies against CD47 may be a potential target for OSCC immunotherapy.
A case report of moderate COVID-19 with an extremely long-term viral shedding period in China
Authors: wang yonghong , liu chaoyuan , meng qinghui , gui shuang , wu yu , cheng pengjiang , wang peng , liao xiuyong 
Published: August 2020

Abstract
BackgroundAn ongoing outbreak of novel coronavirus disease 2019 (COVID-19) from Wuhan, China, is currently recognized as a global public health emergency, which has subsequently spread to the rest of China and other countries. The WHO raised the COVID-19 alert to the highest level. The virus is a new highly contagious via human-to-human transmission. The median duration of viral shedding is 20.0 days. We report that the longest duration of viral shedding was 32.0 days from illness onset in a patient with moderate COVID-19 admitted to QianJiang Central Hospital.Case presentationA 37-year-old male sought medical advice while suffering from fever, dry cough, fatigue, dizziness, runny nose and diarrhoea. Five days before the visit, he had a history of travel from affected geographic areas. The patient had a positive RT-PCR test, and chest CT images showed multiple nodules and mixed ground-glass opacification with consolidation in both lungs. Laboratory findings showed that his lymphocyte and CD4+ counts were below the normal range. The patient was given antiviral treatment, including arbidol, lopinavir, IFN-α, and traditional Chinese medicine, and other necessary support care. All clinical symptoms and CT imaging manifestation abnormalities resolved during the course of therapy.ConclusionAlthough the positive RT-PCR tests were verified in consecutive upper respiratory specimens, the clinical symptoms, CT imaging findings, CD4 + lymphocyte counts, and IgG antibody levels had obviously improved. Positive tests may be detecting pieces of inactive viruses, which would not be transmissible in individual cases.
COVID-19 Impact on Indian Food and Hospitality Sector with Specific Reference to Potato Crop
Authors: masih jolly , Sharma Mohit , Rajasekaran Rajkumar 
Published: August 2020

Abstract
Disruption through present pandemic is applicable to almost all the sectors of economy. However, impact of COVID-19 pandemic on Indian food, agribusiness and hospitality industry is largely experienced. Further, it is believed that fluctuations in arrivals and price surge of essential staple vegetables like potato can have severe multifold effects on hospitality sector including restaurants and online food delivery platforms. Keeping the vitality of these issues in mind, in present study we decided to keep potato as a focused commodity to be analyzed since it is the most popular vegetable across the globe. Daily data for potato arrivals and prices was considered for the date range between 1st January 2018 to 16th April 2020 using online mandi data from Agmark (government recognized site for vegetable price and arrivals). Arrivals and trends of price behavior over the coming six months during the pandemic was attempted to measure. Time series ARIMA model was adapted for this purpose. Azadpur mandi being the Asia’s largest mandi was purposively chosen as study area. Forecasting range suggested the stress in potato supply chain for coming 6 months also depicted that fluctuation in both prices and arrivals. This study forecasted that the potato price would increase by 58.7% by October 2020 compared to October 2019 and arrivals would be just 3.11% less compared to last year. Situation assessment through forecasted range can draw attention of policy makers to ensure streamlined chain of supply for essentials and preventing any devastating effects of COVID-19 on food and hospitality sector.
Transmission and Control Pressure Analysis of the COVID-19 Epidemic Situation Using Multisource Spatio-temporal Big Data
Authors: Wang Fangxiong , Tan Ziqian , Yao Siqi , Guo Cangfeng 
Published: August 2020

Abstract
Taking the Guangdong-Hong Kong-Macao Greater Bay Area as the research area, this paper used OD cluster analysis based on Baidu migration data from January 11 to January 25 (before the sealing-off of Wuhan) and concluded that there is a significant correlation between the migration level from Wuhan to the GBA and the epidemic severity index. This paper also analyzed the migration levels and diffusivity of the outer and inner cities of the GBA. Lastly, four evaluation indexes were selected to research the possibility of work resumption and the rating of epidemic prevention and control through kernel density estimation. According to the study, the amount of migration depends on the geographical proximity, relationship and economic development of the source region, and the severity of the epidemic depends mainly on the migration volume and the severity of the epidemic in the source region. The epidemic risk is related not only to the severity of the epidemic in the source region but also to the degree of urban traffic development and the degree of urban openness. After the resumption of work, the pressure of epidemic prevention and control has been concentrated mainly in Shenzhen and Canton; the further away a region is from the core cities, the lower the pressure in that region. The mass migration of the population makes it difficult to control the epidemic effectively. The study of the relationship between migration volume, epidemic severity and epidemic risk is helpful to further analyze transmission types and predict the trends of the epidemic.
Formation and dissipation&nbsp;dynamics of the Asian Tropopause Aerosol Layer
Authors: He Qianshan , Ma Jianzhong , Zheng Xiangdong , Wang Yanyu , Wang Yuhang , Mu Haizhen , Cheng Tiantao , He Ruilian , Huang Guan , Liu Dongwei , Lelieveld Jos 
Published: August 2020

Abstract
The Asian Tropopause Aerosol Layer (ATAL) is characterized by enhanced aerosol concentrations in the Asian Summer Monsoon (ASM) anticyclone in the upper troposphere and lower stratosphere at 13-18 km altitude. A growing body of evidence suggests that the aerosol enhancement is closely connected with deep convection during the monsoon. However, the origin of the aerosols is under debate, and the key factors that determine the ATAL variability remain poorly understood. We investigated the formation and dissipation mechanisms of the ATAL and the inter-annual variation from a dynamical viewpoint using satellite observations and meteorological reanalysis data from 2012 to 2018. We identified the northern Bay of Bengal (BoB) and adjacent land area, where air pollution from the Indian subcontinent converges, as the major source area of aerosols to the ATAL. The spatial extent of the ATAL, represented by the mean Attenuated Scattering Ratio from satellite measurements, appears to be related to a secondary circulation driven by the stratospheric Quasi-Biennial Oscillation (QBO). The aerosols are not homogeneously distributed within the ATAL, and descending motion in the western part is found to play an important role in dissipation of the layer. These findings elucidate the ATAL dynamics and associated regional and global air pollution transports.
Neurological manifestations among patients with HIV – active tuberculosis co infection
Authors: Sidig Amira , Taha Mohamed A. , Osman.B.M  , M.Alfaki Musaab , Alfaki Mohamed I. , Alsherif Razeen A. , Abdelrahim Mohamed A. , Yeddi Ahmed. S. , Mohamed.A.Alnor  , A.Kabeer Mohamemd , Abbasher Khabab , Hajnoor Khalid , Malekeladar Mohamed , Abbasher Hussien , Hussien Abbasher 
Published: August 2020

Abstract
Introduction: At least one-third of the 35.3 million people living with HIV worldwide are infected with latent tuberculosis. Tuberculosis is the most common presenting illness among people living with HIV, including those who are taking antiretroviral treatment. There were an estimated 1.1 million HIV positive new TB cases globally in 2012. Around 75% of these people live in sub-Saharan Africa.Despite its great burden, neurological manifestations have not been described yet in patients with HIV-active tuberculosis, although tuberculosis and HIV have synergistic influence on immunity system which may contribute to change in prevalence or severity of CNS involvement in patients with HIV-active TB co infection.Objectives: To study neurological manifestations in patients with HIV-active tuberculosisMethodology: A case series study of 58 consecutive patients with laboratory confirmed HIV- active tuberculosis co infection attending tertiary hospital for tuberculosis treatment was conducted. Data about neurological symptoms and signs – conducted by a neurologist- were collected from each patient. .Results: 24% of 58 patients were found to have neurological manifestations in clinical assessment.Conclusion: the frequency of neurological manifestations among patients with HIV-active TB co infection was found to be higher compared to that of patients with HIV only;
Autoimmune Thyroid Disease Correlates to Islet Autoimmunity on Zinc Transporter 8 Autoantibody: A Cross-Section Study
Authors: Cai Yun , Yan Jieni , Gu Yong , Chen Heng , Hu Qingfang , Chen Yang , Wang Zhixiao , Liu Xiaoyun , Chen Huanhuan , Xu Xinyu , Zhang Mei , Yu Liping , Zheng Xuqin , Yang Tao 
Published: August 2020

Abstract
Background The most common coexisting organ-specific autoimmune disease in patients with Type 1 diabetes mellitus (T1DM) is autoimmune thyroid disease (AITD). Many studies have showed prevalence rate of thyroid autoantibodies range from 3.7-35% in T1DM patients, while some of them suggested the associations between thyroid autoantibodies and islet autoantibodies. However, little work has been done about the anti-islet autoimmune status in patients with autoimmune thyroid disease (AITD), and so far there have been no clinical report based on large population about zinc transporter 8 autoantibody (ZnT8A) in patients with AITD. We aimed to explore the presence of islet autoantibodies, ZnT8A, glutamic acid decarboxylase autoantibodies (GADA) and tyrosine phosphatase autoantibodies (IA-2A) compared with thyroid autoantibodies, thyroid peroxidase autoantibodies (TPOAb) and thyroglobulin autoantibodies (TGAb) and thyrotropin receptor autoantibodies (TRAb) in AITD patients. Methods In total 740 AITD patients, 108 type 1 diabetes mellitus (T1DM) patients with AITD, 172 non-autoimmune thyroid disease (nAITD) patients and 115 healthy controls were recruited in the cross-sectional study. Islet autoantibodies, ZnT8A, GADA, IA-2A and thyroid autoantibodies, TPOAb, TGAb, TRAb were detected with Radioimmunoassay and Chemiluminescence. Islet autoantibody relative value was established to compare the distribution of the three islet autoantibodies. Results The prevalence of ZnT8A and GADA in AITD group was significantly higher than that in healthy controls (ZnT8A: 15.00% vs 1.74%, GADA: 7.97% vs 0.87%, both P<0.05). Similarly, the prevalence of IA-2A in AITD group was higher than that in healthy controls (4.19% vs 0%, P<0.05). However, any islet autoantibodies positive rate in AITD group was significantly lower than that in T1DM with AITD group. Analysis of multivariable linear regression suggested that ZnT8A relative value was positively related with GADA relative value (β=0.352, P<0.01) and TPOAb titer (β=0.002, P<0.01), and GADA relative value was also positively related with ZnT8A relative value (β=0.183, P<0.01). Conclusions An increased prevalence of ZnT8A as well as a relatively high prevalence of islet autoimmunity was found in AITD patients, indicating that there is a potential link between thyroid autoimmunity and islet autoimmunity. Trial registration Retrospectively registered.
Comprehensive Analysis of a 14 Immune-related Gene Pairs Signature to Predict the Prognosis of Gastric Cancer and Immune Features
Authors: Liu Chuan , Chen Bo , Huang Zhangheng , Hu Chuan , Jiang Liqing , Zhao Chengliang 
Published: August 2020

Abstract
Background: As a new method for predicting tumor prognosis, the predictive effect of immune-related gene pairs (IRGPs) has been confirmed in several cancers, but there is no comprehensive analysis of the clinical significance of IRGPs in gastric cancer (GC).Methods: The clinical and gene expression profile data GC patients were obtained from the GEO database. Based on the ImmPort database, differently expressed immune-related genes (DEIRGs) events were determined by a comparison of GC samples and adjacent normal samples. Cox proportional regression was used to construct an IRGPs signature, and its availability was validated with three external validation sets. In addition, we explored the association between clinical data and immune features and established a nomogram to predict outcomes of GC patients. Result: A total of 88 DEIRGs were found in GC from the training set, which formed 3828 IRGPs. 14 overall survival (OS)-related IRGPs were used to construct the prognostic signature. As a result, the patients in the high- risk group have a poorer OS compared with the low-risk group. In addition, the fraction of CD8+ T cells, plasma cells, T cells CD4 memory activated, and macrophages M1 were higher in the high-risk group. The expression of two immune checkpoints, CD276 and VTCN1, was significantly higher in the high-risk group. Based on the independent prognostic factors, a nomogram was established and showed excellent performance.Conclusion: The 14 OS-related IRGPs signature was associated with the OS, immune cells, and immune checkpoints of GC patients, which can provide the basis of related immunotherapy.
Development and Evaluation of Prognostic Nomogram for Patients with Differentiated Thyroid Carcinoma
Authors: Mao Guochao , Lin Shuai , Zhou Zhangjian 
Published: August 2020

Abstract
Background: Papillary thyroid carcinoma and follicular thyroid carcinoma are both well-differentiated thyroid carcinomas. Here, we aimed to establish and evaluate a nomogram for patients with differentiated thyroid cancer.﻿Methods: Patient records were available from SEER database. We enrolled 17,659 patients in total and randomly separated them into a modeling cohort (n = 12,363, 70%) and a validation cohort (n = 5,296, 30%). Predictive models were established via univariate and multivariate Cox regression analysis of potential risk factors and used to produce a nomogram. ﻿Performance of the nomograms in terms of discrimination ability and calibration was evaluated by determining the concordance index (C-index) and by generating calibration plots, respectively, using the internal (modeling cohort) and external (validation cohort) validity.﻿Results: Seven independent prognostic factors (age, race, sex, grade, AJCC T stage, AJCC N stage, and AJCC M stage) were identified and used to develop the nomogram for OS prediction of patients with DTC. The C-index for the modeling cohort was 0.829 (95% CI: 0.807-0.851), and the C-index for the validation cohort was 0.833 (95% CI: 0.803-0.862). Calibration plots of the nomogram indicated acceptable agreement between the predicted 3-, 5-year survival rates and the actual observations in the modeling and validation groups.﻿Conclusions: We have constructed and verified a nomogram containing clinical factors, which showed better prognostic judgment and predictive accuracy for DTC. This will enable clinicians and patients to easily personalize and quantify the probability of DTC during the postoperative period.
Impact of Teaching Program Regarding COVID-19 on Knowledge, Attitudes, Practices among Student
Authors: Ayed Manal Mohamed Ahmed , Mahmoud Thorea Mohamed , Kamal Fatma El Zahra 
Published: August 2020

Abstract
Corona-virus pandemic disease 2019 which called “COVID-19” considered an emerging respiratory disease and highly infectious that is caused by corona-virus and was detected in December 2019 in Wuhan, China. Corona-virus has affected educational systems worldwide and leading to the total closures of schools, universities, and colleges, in the middle of March 2020. The study aimed to evaluate the impact of a structured teaching program regarding COVID -19 on knowledge, attitudes, and practices among secondary school students. A pre/post quasi-experimental design was adopted. 260 students were selected from two secondary schools at Sohag City using a multi-stage sample. A self-administered questionnaire and health education Arabic handout was prepared by the researches. There was a statistically significant difference between secondary student's knowledge attitudes, and practices pre and post- structured teaching program implementation. A structured teaching program is effective in improving knowledge, attitudes, and practices among secondary school students regarding COVID -19.
Coronavirus Disease (COVID-19) Detection using Deep Features Learning
Authors: Khalaf Zainab A. , Hammadi Saad S. , Mousa Alaa K. , Ali Hanan M. , Alnajar Hanan R. , Mohsin Raghdan H. 
Published: August 2020

Abstract
Coronavirus (COVID-19) pandemic detection considers a critical and challenging task for the doctors. The coronavirus disease spread so rapidly between people and infected roughly fourteen million people worldwide. For this reason, it is very much necessary to detect infected people with coronavirus and take the action to prevent of spread this virus. In this study, the COVID-19 classification methodology is adopted to detect the infected patient with coronavirus using CT images. The deep learning is applied to recognize the affected CT images of COVID-19 from others by employing the deep feature. This methodology can be beneficial for the medical practitioner to diagnosis the infected patient with coronavirus. The result is based on new data collections named BasrahDataset that included different CT scan video for Iraqi patients. The system gives promised results with 99% F1-score for detecting COVID-19.
Alcohol dehydrogenase (ADH) genes family in wheat (Triticum aestivum): Genome-wide identification, characterization, phylogenetic relationship and expression patterns
Authors: Shen Changwei , Yuan Jingping , Ou Xingqi 
Published: August 2020

Abstract
Background

Alcohol dehydrogenase (ADH) plays important roles in plant survival under anaerobic conditions. Although some research has been carried out the functions of ADH in other plants, that of wheat TaADH family genes in response to abiotic stress are unclear.
Results

A total of 22 ADH genes were obtained from 14 chromosomes of the wheat genome by systematic screening. Multiple sequence alignment and evolutionary relationship show that these genes contain the characteristics of GroES-like domain and Zinc-binding domain, and these belong to Medium-chain -ADH type and can be divided into three subfamilies. There are 17 pairs of fragment replication genes among TaADH family members in the wheat genome, while there are 9 pairs of collinear gene pairs from ADH family members between wheat and rice genome. We speculate that these fragment repetition events may be the main reason for the amplification of TaADH family genes. Ka/Ks analysis indicated that there were 64 repetitive gene pairs, and the Ka/Ks value of these gene pairs was less than 1, which indicated that these sequences of TaADH gene were relatively conservative and did not change greatly in the process of evolution. Promoter element analysis showed that almost all of the upstream promoters of these genes contained the responsive anaerobic inducible element. Tissue localized expression and expression patterns also demonstrated that the TaADH genes responded to abiotic stress and may play an important role in waterlogging stress during the seed germination stage.
Conclusions

The results of this study may be helpful to further study the function of TaADH genes and determine the candidate gene for wheat stress resistance breeding.