bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improvement of a Delayed Swallowing Reflex with Treatment in Advanced Head and Neck Cancer Patients
Authors: Ohkoshi Akira , Kato Kengo , Ogawa Takenori , Nakanome Ayako , Ishii Ryo , Katori Yukio 
Published: March 2020

Abstract
Background The latency of the swallowing reflex is an important factor causing dysphagia in head and neck cancer patients. Although there are many reports comparing swallowing function before and after treatment, few studies have focused on the latency of the swallowing reflex. The aim of this retrospective study was to clarify the changes in the latency of the swallowing reflex before and after treatment. Methods The latency of the swallowing reflex was quantified using the time from the injection of 1 ml of distilled water into the pharynx through a nasal catheter to the onset of swallowing. Results The latency time of the swallowing reflex was significantly decreased 3 months after treatment compared to before treatment. Significant reduction was also observed in patients with pharyngeal cancer who underwent chemoradiation therapy. Conclusions This retrospective study showed that a delayed swallowing reflex improved with treatment in advanced head and neck cancer patients.
Predicting Amyloid Pathology in Mild Cognitive Impairment Using Radiomics Analysis of Magnetic Resonance Imaging
Authors: Park Yae Won , Choi Dongmin , Park Mina , Ahn Sung Jun , ahn Sung Soo , Suh Sang Hyun , Lee Seung-Koo 
Published: March 2020

Abstract
Background: Noninvasive identification of amyloid β (Aβ) is important in mild cognitive impairment (MCI) patients for better clinical management. This study aimed to evaluate whether radiomics features in the hippocampus in MCI improve the prediction of cerebrospinal fluid (CSF) Aβ 42 status when integrated with clinical and genetic profiles.Methods: A total of 407 MCI subjects from the Alzheimer’s Disease Neuroimaging Initiative were allocated to the training (n = 324) and test (n = 83) sets. Radiomics features (n = 214) from the bilateral hippocampi were extracted from T1-weighted images of magnetic resonance imaging (MRI). A previously defined cutoff (< 192 pg/mL) was applied for CSF Aβ 42 status. After feature selection, random forest with subsampling methods were trained to predict the CSF Aβ 42 with three models: 1) a radiomics model; 2) a clinical model based on clinical and genetic profiles including demographics, APOE ε4 genotype, and neuropsychological tests; and 3) a combined model based on radiomics and clinical profiles. The prediction performance of the classifier was validated in the test set using the area under the receiver operating characteristic curve (AUC). Results: The radiomics model identified 33 radiomics features to predict CSF Aβ 42 , which showed an AUC of 0.674 in the best performing radiomics model in the test set. The clinical model identified 6 clinical features to predict CSF Aβ 42 , which showed an AUC of 0.758 in the best performing clinical model in the test set. The combined model based on radiomics and clinical profiles identified a total of 37 features (32 from radiomics and 5 from clinical features), showing an AUC of 0.823 in the best performing combined model test set, which showed the highest performance among the three models. Conclusions: Radiomics model from MRI can help predict CSF Aβ 42 status in MCI patients and potentially triage the patients for the invasive and costly Aβ test.
Prediction of Drug-target interactions from heterogeneous information network based on LINE embedding model
Authors: Ji Bo-Ya , You Zhu-Hong , Jiang Han-Jing , Guo Zhen-Hao , Zheng Kai 
Published: March 2020

Abstract
Background: The prediction of potential drug-protein target interactions (DTIs) not only provides a better comprehension of biological processes but also is critical for identifying new drugs. However, due to the disadvantages of costly and high time-consuming traditional experiments, only a small section of interactions between drugs and targets in the database is verified experimentally. Therefore, it is meaningful and important to develop new computational methods with good performance for predicting DTIs. At present, many existing computational methods only utilize a single type of molecule without paying attention to the interactions and influences between other types of molecules. Methods: In this work, we developed a novel network embedding-based heterogeneous information integration model to predict potential DTIs. Firstly, a heterogeneous information network is built by combining the known associations among protein, drug, lncRNA, disease, and miRNA. Secondly, the Large-scale Information Network Embedding (LINE) model is used to learn behavior information of nodes in the network. Hence, the known drug-protein interaction pairs can be represented as a combination of attribute information (e.g. protein sequences information and drug molecular fingerprints) and behavior information of themselves. Thirdly, the Random Forest classifier is used for training and predicting. Results: In the results, under the 5-fold cross validation, our method obtained 85.83% prediction accuracy with 80.47% sensitivity at the AUC of 92.33%. Moreover, in the case studies of three common drugs, the top 10 candidate targets have 8 (Caffeine), 7 (Clozapine) and 6 (Pioglitazone) are respectively verified to be associated with corresponding drugs. Conclusions: In short, these results indicate that our method can be a powerful tool for predicting drug-protein interactions and finding unknown targets for certain drugs or unknown drugs for certain targets.
Characterization, Identification and Expression Profiling of Genome-Wide R-Genes in Melon and Their Putative Roles in Bacterial Fruit Blotch Resistance
Authors: Islam Md. Rafiqul , Hossain Mohammad Rashed , Jesse Denison Michael Immanuel , Jung Hee-Jeong , Kim Hoy-Taek , Park Jong-In , Nou Ill-Sup 
Published: March 2020

Abstract
Background Bacterial fruit blotch (BFB), a disease caused by Acidovorax citrulli , results in significant economic losses in melon. The causal QTLs and genes for resistance to this disease have yet to be identified. Resistance ( R )-genes play vital roles in resistance to plant diseases. Since the complete genome sequence of melon is available and genome-wide identification of R -genes has been performed for this important crop, comprehensive expression profiling may lead to the identification of putative candidate genes that function in the response to BFB. Results We identified melon accessions that are resistant and susceptible to BFB through repeated bioassays and characterized all 70 R -genes in melon, including their gene structures, chromosomal locations, domain organizations, motif distributions, and syntenic relationships. Several disease resistance-related domains were identified, including NBS, TIR, LRR, CC, RLK, and DUF domains, and the genes were categorized based on the domains of their encoded proteins. In addition, we profiled the expression patterns of the genes in melon accessions with contrasting levels of BFB resistance at 12 h, 1 d, 3 d, and 6 d after inoculation with A. citrulli via qRT-PCR. Six R -genes exhibited consistent expression patterns (MELO3C023441, MELO3C016529, MELO3C022157, MELO3C022146, MELO3C025518, and MELO3C004303), with higher expression levels in the resistant vs. susceptible accession. Conclusion We identified six putative candidate R -genes against BFB in melon. Upon functional validation, these genes could be targeted for manipulation via breeding and biotechnological approaches to improve BFB resistance in melon in the future.
Study on inhibitory effect of cinnamaldehyde on Salmonella based on iTRAQ technology
Authors: Yin Lizi , Chen Han , He Xuewen , Yin Zhongqiong , Fu Hualin , LIn Juchun , Geng Yi , He Changliang , Shu Gang , Liang Xiaoxia , Song Xu , Li Lixia , Zou Yuanfeng , Ouyang Ping 
Published: March 2020

Abstract
BackgroundSalmonella is one of the most concerned pathogenic bacterium worldwide. In our previous experiments, cinnamaldehyde showed prominent antibacterial effects on Salmonella Typhimurium (S. Typhimurium), indicating that it could be developed as a novel therapeutic drugs for Salmonella.ResultsIn this assay, the mechanism of cinnamaldehyde inhibiting S. Typhimurium was investigated. We studied the antibacterial mechanism of cinnamaldehyde using isobaric tags for relative and absolute quantification (iTRAQ) with two-dimensional liquid chromatography/tandem mass spectrometry (2D-LC-MS/MS), combining with bioinformatics. There were 2,212 proteins detected by iTRAQ, of which 73 proteins were up-regulated, and 82 of proteins were down-regulated. The differently expressed proteins were connected with 10 cellular components, 9 molecular functions and 13 biological processes as well as 57 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. There were some differently expressed proteins involved into biosynthesis and metabolism of amino, redox reaction, energy metabolism, toxins and drug-resistance. Cinnamaldehyde may have the potential to become a novel drug for Salmonella infection.ConclusionsBased on the iTRAQ technology, this paper explores the mechanism of cinnamaldehyde on Salmonella typhimurium at the protein level, digs the target of action, lays a theoretical foundation for further exploration, and provides new ideas for the clinical use and development of cinnamaldehyde.Therefore, cinnamaldehyde may have the potential to be used combined with antibiotics.
Compared the Burden of Cardiovascular Disease attributable to Tobacco Exposure in China, Japan, USA and World
Authors: Wu Xiaomei , Zhu Bo , Xu Shuang , Liu Yong , Bi Yifei , shi jingpu 
Published: March 2020

Abstract
Background Tobacco exposure (TE) is the major contributor of CVD mortality, but few published studies on CVD mortality attributable to TE analyzed the possible reasons underlying the long-term trends in China. Methods The mortality data in China, Japan, USA and World were obtained from GBD 2017. The joinpoint regression was used to assess the magnitude and direction of trends over time for CVD mortality, and the age-period-cohort method was used to analyze the temporal trends of CVD mortality by age, period, and cohort. Results There was a significant downward trend in age-standardized mortality rate (ASMR) of CVD attributable to smoking in four regions, but China has the smallest decline and the ASMR in China rose to the first rank in 2017. All the net drifts per year in four regions were negative, and the local drifts were below zero. The longitudinal age curves of the CVD mortality attributable to smoking increased in four regions and China had the largest increase. The period/cohort RRs indicated a decline, and China has the smallest decline. We further analyzed the trend of IHD and stroke, and found the morality, period/cohort RR of IHD in China was always in high level. Conclusions CVD mortality attributable to TE had declined in four regions, and it was at a high level in China. The proportion of IHD mortality attributable to TE had been similar to stroke, which had significantly changed the traditional cognition of CVD composition, and the control measure was not enough for IHD in China.
Cardiovascular outcomes associated with SGLT-2 inhibitors versus other glucose-lowering drugs in patients with type 2 diabetes: A real-world systematic review and meta-analysis
Authors: Li Chun-xing , Liang Shuo , Gao Lingyan , Liu Hua 
Published: March 2020

Abstract
Background Glucose lowering agents that reduce the risk of major cardiovascular events would be considered a major advance. Despite the reduction of cardiovascular risk by sodium-glucose cotransporter 2 inhibitors (SGLT-2i) has been confirmed by some large randomized controlled studies and systematic reviews, exact indicators of cardiovascular risk remained controversial. Whether consistent results can be obtained in clinical practice is unclear. Therefore, in this meta-analysis, we examined the real-world effect of SGLT-2i on cardiovascular outcome in patients with type 2 diabetes mellitus (T2DM).Methods We did a real-world systematic review and meta-analysis of cardiovascular outcome of SGLT-2i in patients with T2DM. We searched PubMed and Embase for trials published up to October 23, 2019. Data search and extraction were completed with a standardized data form and any discrepancies were resolved by consensus. The primary outcome was major adverse cardiovascular events (MACE) and all-cause mortality (ACM). Secondary outcomes were hospitalization for heart failure (HHF), atrial fibrillation (AF), myocardial infarction (MI), stroke, cardiovascular mortality (CVM), unstable angina (UA), heart failure (HF). Odds ratio (OR) with 95% CIs were pooled across trials, and cardiovascular outcomes were stratified by baseline incidence of cardiovascular disease (CVD), usage rate of cardiovascular benefit drug, follow-up period and region.Results Fourteen trials enrolling 3,157,259 patients were included. SGLT-2i reduced MACE (OR, 0.71; 95% CI 0.67,0.75, P<0.001) and ACM (OR, 0.53; 95% CI 0.49,0.57, P<0.001) compared to other glucose lowering drugs (oGLD). Compared with oGLD, SGLT-2i had significantly lowered the risk of HHF (OR, 0.56; 95% CI 0.46,0.68, P<0.001), MI (OR, 0.77; 95% CI 0.73,0.81, P<0.001), stroke (OR, 0.75; 95% CI 0.72,0.78, P<0.001), CVM (OR, 0.58; 95% CI 0.49,0.69, P<0.001) and HF(OR, 0.56; 95% CI 0.48,0.67, P<0.001), but there was no benefit from UA or AF. Subgroup analysis showed SGLT-2i reduced the risk of MACE, ACM, HHF, MI, stroke, CVM and HF with a similar benefit regardless of the incidence of CVD was (20-30)% or < 15%, (15-30)% and <15% have been treated with GLP-1 receptor agonists (GLP-1RA), >80% and<70% have been treated with statins or both GLP-1RA and statins. SGLT-2i reduced the risk of ACM in low-risk population (P<0.001). No inconsistencies were found when stratification was performed at 1 or (3-4) years of follow-up. SGLT-2i showed similar cardiovascular benefits in the Nordic countries, Asia and the United States.Conclusions The predominant impact of SGLT-2i is on cardiovascular outcome driven predominantly by reduction in MACE, ACM, HHF, MI, stroke, CVM, HF, but not UA or AF. SGLT-2i have robust benefits on reducing MACE, ACM, HHF, MI, stroke, CVM and HF regardless of a history of usage rate of GLP-1RA and/or statins and /or metformin.
Antioxidant preconditioning improves therapeutic outcomes of adipose tissue-derived mesenchymal stem cells through enhancing intrahepatic engraftment efficiency in a mouse liver fibrosis model
Authors: Liao Naishun , Shi Yingjun , Wang Yingchao , Liao Fangyu , Zhao Bixing , Zheng Youshi , Zeng Yongyi , Liu Xiaolong , Liu Jingfeng 
Published: March 2020

Abstract
Background: Although it has been pre-clinically suggested that adipose tissue-derived mesenchymal stem cell (ADSCs)-based therapy could effectively treat chronic liver diseases, the hepatic engraftment of ADSCs is still extremely low, which severely limits their long-term efficacy for chronic liver diseases. This study was designed to investigate the impact of antioxidant preconditioning on hepatic engraftment efficiency and therapeutic outcomes of ADSC transplantation in liver fibrotic mice.Methods: Liver fibrosis model was established by using intraperitoneal injection of carbon tetrachloride (CCl 4 ) in the male C57BL/6 mice. Subsequently, the ADSCs with or without antioxidant pretreatment (including melatonin and reduced glutathione (GSH)) were administrated into fibrotic mice via tail vein injection. Afterwards, the ADSC transplantation efficiency was analyzed by ex vivo imaging, and the liver functions were assessed by biochemical analysis and histopathological examination, respectively. Additionally, a typical H 2 O 2 -induced cell injury model was applied to mimic the cell oxidative injury to further investigate the protective effects of antioxidant preconditioning on cell migration, proliferation and apoptosis of ADSCs.Results: Our data showed that antioxidant preconditioning could enhance the therapeutic effects of ADSCs on liver function recovery by reducing the level of AST, ALT and TBIL, as well as the content of hepatic hydroxyproline and fibrotic area in liver tissues. Particularly, we also found that antioxidant preconditioning could enhance hepatic engraftment efficiency of ADSCs in liver fibrosis model through inhibiting oxidative injury.Conclusions: Antioxidant preconditioning could effectively improve therapeutic effects of ADSC transplantation for liver fibrosis through enhancing intrahepatic engraftment efficiency by reducing oxidative injuries. These findings might provide a practical strategy for enhancing ADSC transplantation and therapeutic efficiency.
Socioeconomic, Demographic, and Environmental Associated with Stunting among Children under Five Years old in Ethiopia: Evidence from Ethiopian Demographic and Health Survey, 2016
Authors: Begashaw Getnet Bogale , Yohannes Yordanos Berihun 
Published: March 2020

Abstract
Background : Stunting is one of the most serious but least addressed health problems in the world. Adequate nutrition is essential for children’s health and development. Globally it is estimated that, directly or indirectly, for at least 35% of deaths in children less than five years of age. Under nutrition is also a major cause of disability preventing children who survive from reaching their full development potential. Methods: Statistical models that can treat the categorical response variable like binary logistic regression model will be employed. Beside this study will include Socio –economic and demographic factors; Sex and age of child, age of mother, Educational status, occupation, health status, religion, sex of household head, number of children under five years, Household income, family size, land ownership and time of cultivation, income source of household, wealth index as independent variables. Empty model, random intercept and fixed slope with random coefficient are the method of analyzing the dataset. Result: The prevalence of stunting among children ages under five years old were about 49.3%. Months of breastfeeding, educational level, and wealth index, currently pregnant and child food nutrient are significantly associated with stunting presence. The odds of stunting status of child from women who are pregnant is more likely to be stunted 4.157 compared to non-pregnant women controlling for other variables in the model and random effects at level two. Women who feed nutrient food to their child are 1.239 more likely to be stunted (OR=1.239) than women who didn’t feed nutrient food controlling for other variables in the model and random effects at level two. Conclusions : Age of child, breast feeding, sex, pregnant status, and food nutrient were found to be significantly associated with stunting in multilevel modeling of random coefficient model. Finally random coefficient model best fit the EDHS 2016 dataset. Therefore, interventions that focus on breast feeding, period of next pregnancy, food nutrient taken by children are required for improving child stunting in Ethiopia.
Functional benefits of corticosteroid and IVIG combination therapy in a coronary artery endothelial cell model of Kawasaki disease
Authors: Inoue Takashi , Murakami Shokei , Matsumoto Kenji , Matsuda Akio 
Published: March 2020

Abstract
Background: Kawasaki disease (KD) is the most common pediatric systemic vasculitides of unknown etiology. Recent clinical studies led to reappraisal of the usefulness of initial combination therapy of intravenous immunoglobulin (IVIG) plus a corticosteroid for patients with severe KD. However, the molecular mechanisms underlying the clinical benefits of early introduction of a corticosteroid to IVIG for severe KD patients remain unclear. We used cultured human coronary artery endothelial cells (HCAECs), which mimic the main lesion sites of KD, in an attempt to elucidate the mechanisms underlying the clinical benefits accruing from adding a corticosteroid to standard IVIG therapy for patients with KD. Methods: HCAECs were stimulated with TNF-α, IL-1α or IL-1β in the presence and absence of IVIG and/or dexamethasone (DEX). The mRNA and protein concentrations for high-mobility group box-1 (HMGB1), IL-1α, IL-6 and granulocyte-colony stimulating factor (G-CSF) in the culture supernatants were measured by quantitative PCR (qPCR) and ELISA, respectively. Apoptosis was evaluated by the caspase 3/7 activities. Results: DEX, but not IVIG, significantly inhibited apoptosis caused by inflammatory stimuli, resulting in effective reduction of HMGB1 and IL-1α protein release by HCAECs. As previously reported, DEX or IVIG alone significantly suppressed TNF-α-induced production of IL-6 and G-CSF and mRNA expression, but induction of those cytokines by IL-1s (IL-1α and IL-1β) was resistant to IVIG. Conclusions: A corticosteroid can effectively inhibit the release of HMGB1 and IL-1α, which may be involved in IVIG resistance in KD. Since IVIG does not have such beneficial anti-cytotoxic effects, adding a corticosteroid to standard IVIG therapy may help prevent the progression of IVIG resistance in KD.
Nephrological disorders and neurological involvement in pediatric primary Sjogren syndrome: a case report and review of literature
Authors: Zhao Jingya , Chen Qin , Zhu Yunyun , Zhao Meng , Liu Jun , Zhang Zhenzhong , Gong Xiaoting 
Published: March 2020

Abstract
Background: Sjögren syndrome(SS) is a rare disease in pediatrics, and little attention has been paid to the clinical feature in these patients. To date, there are few cases concern about neurological and nephrological disorders in childhood Sjögren syndrome. We describe a case of Sjögren syndrome in a 12-year-old girl who developed neurological disorders and interstitial nephritis and review the literature currently available on this topic. Case presentation: A 12-year-old girl was admitted to our hospital for arthritis and glucosuria. She was required to do labial gland and renal biopsy, because the positive for anti-nuclear antibody and anti-Sjögren syndrome B(anti-SSB) antibody. Then the biopsy was performed revealing the lymphocytic infiltrate in the small area and renal tubular interstitial damage,thus the diagnosis of Sjögren syndrome with tubular interstitial damage was made. Three months later, she presented again with headache, fever, nausea, vomiting and was recovered without drug therapy. Based on the patient's medical history, laboratory and imaging examination, and treatment, we speculate that the disorders of the nervous system were caused by the Sjögren syndrome. The girl has stable renal function and no residual nervous system damage in the next 1.5 years, but she underwent low dose prednisone therapy because of persistent renal glucosuria. Conclusion s: Nephrological disorders and neurological involvement are rare manifestations of Sjögren syndrome in children, and rarely presented as the initial symptoms. It should be suspected in children presenting with unexplained renal diseases, neurological abnormalities, or unexplained fever. Although there is no guidelines on the diagnosis and treatment of children Sjögren syndrome are currently available, early recognition and the appropriate treatment of renal damage and neurologic involvement would improve prognosis and prevent complications. Keywords : Neurologic manifestations, Kidney diseases, Sjogren’s syndrome, Children