bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genome-wide detection and sequence conservation analysis of long non-coding RNA during hair follicle cycle of yak
Authors: Zhang Xiaolan , Bao Qi , Jia Congjun , Li Chen , Chang Yongfang , Wu Xiaoyun , Liang Chunnian , Bao Pengjia , Yan Ping 
Published: March 2020

Abstract
Background: Long non coding RNA (lncRNA) as important regulator has been demonstrated playing an indispensable role in the biological process of hair follicles (HFs) growth. However, their function and expression profile in hair cycling of yak are yet unknown. It only a few functional lncRNAs have been identified, partly due to the low sequence conservation and lack of identified conserved properties in lncRNAs. Here, lncRNA-seq was employed to detect the expression profile of lncRNAs during HFs cycle of yak, and the sequence conservation between yak and cashmere goat during HFs cycle was analyzed. Result: Totally 2884 lncRNAs were identified in five phases (Jan. Mar. Jun. Aug. and Oct.) during HFs cycle of yak. We then performed differential expression analysis between three phases (Jan. Mar. and Oct.) finding that 198 differently expressed lncRNAs (DELs) were obtained in Oct-vs-Jan, 280 DELs were obtained in Jan-vs-Mar, and 340 DELs were obtained in Mar-vs-Oct. Subsequently, the nearest genes of DELs were used to explore the potential function of lncRNAs by GO and KEGG enrichment analysis, several critical pathways involved in HFs development such as Wnt signaling pathway, VEGF signaling pathway and Signaling pathways regulating pluripotency of stem cells were enriched. To further screen key lncRNAs influencing in HFs cycle, twenty-four sequence conserved DELs were obained via comparison analysis of partial DELs with previously published lncRNA-seq data of cashmere goat in HFs cycle by NCBI blast-2.9.0+, and the limited degree of sequence conservation of lncRNAs were observed. Conclusion: Our study expanded the knowledge about lncRNAs affecting on hair cycling, and the finding related to sequence conservation properties of lncRNAs between two species at the specific trait- HFs cycle will likely provide valuable insights into the study of lncRNAs functionality and mechanism.
DPDDI: a Deep Predictor for Drug-Drug Interactions
Authors: Yue-Hua Feng , Shao-Wu Zhang , Jian-Yu Shi 
Published: March 2020

Abstract
Background— The treatment of complex diseases taking multiple drugs becomes popular. However, drug-drug interactions (DDIs) may give rise to the risk of unanticipated adverse effects and even unknown toxicity.As DDI detection in the wet lab is expensive and time-consuming, computational DDIs prediction based on machine learning becomes a promising approach due to its low cost and fast running.Generally, most of the existing computational approaches construct drug features from diverse drug properties, which are costly obtained and not available in many cases. Result— To address this issue, by organizing DDIs a network, we propose a novel predicting approach, which can without drug property.It consists of a feature extractor based on graph convolution network(GCN) as well as a predictor based on deep neural network (DNN). The formercharacterizes drugs in a graph embedding space, where each drugwasrepresented as a low-dimensional latent feature vector capturing the topological relationship to its neighborhood drugs by GCN. The latter concatenates latent feature vectors of any two drugsas the feature vector of the corresponding drug pairs and trains a DNN to predict potential interactions. In the experiments, we first demonstrate that our DNN-based predictor greatly outperforms the inner product-based predictor in the original GCN, and our network-derived latent feature greatly outperforms other features derived from chemical, biological or anatomicalproperties of drugs. Then, we indicate the over-optimistic prediction caused by down-sampling unlabeled drug pairs and validate the robustness of our approach to different datasets w.r.t. drug number, DDI number, and network sparsity. Moreover, the comparison with four state-of-the-art approaches using drug properties demonstrates the significant superiority of our approach under 5-fold cross-validation. Finally, a novel prediction validates its potentials in a real predicting scenario with finding 13 verified DDI out of the top 20 unlabeled candidates. Conclusion — We propose a simple but robust method DPDDI to predicting novel DDIs, which canwork without drug property. It can be expected that DPDDI can be helpful in other DDI-related scenarios, such as the detection of unexpected side effects, and the guidance of drug combination.
Inhibition of Notch pathway enhances the anti-tumor effect of docetaxel in prostate cancer stem-like cells
Authors: Wang Lei , Zi Hao , Luo Yi , Liu Tongzu , Zheng Hang , Xie Conghua , Wang Xinghuan , Huang Xing 
Published: March 2020

Abstract
Background: Prostate cancer stem-like cells (PCSCs) likely participate in tumor progression and recurrence, and demonstrate resistance to chemotherapy. The Notch pathway plays a role in the maintenance of the stemness in PCSCs. This study aimed to investigate the efficacy of Notch signaling inhibition as an adjuvant to docetaxel (DOX) in PCSCs.Methods: PCSCs derived from PC-3 cell line were examined for Notch-1 expression. The effect of Notch inhibition on response to DOX was evaluated in PCSCs in vitro and in murine models using a γ-secretase inhibitor (GSI), PF-03084014. Impacts on cell proliferation, apoptosis, cell cycle, and sphere formation were evaluated.Results: PC-3 PCSCs expressed elevated Notch-1 mRNA compared with PC-3 parental cells. The combination of GSI with DOX promoted DOX induced cell growth inhibition, apoptosis, cell cycle arrest, and sphere formation in PCSCs. In nude mice bearing PC-3 PCSCs-derived tumors, the combination of GSI and DOX reduced the tumor growth, which was associated with the decreased Notch-1 expression in tumor tissues.Conclusions: These results reveal that inhibition of Notch pathway enhances the anti-tumor effect of DOX in PC-3 PCSCs, and suggest that Notch inhibition may have clinical benefits in targeting PCSCs.
Providing calves different feed source early in life would not affect feed sorting and rumen fermentation for a long term
Authors: Xiao Jianxin , Khan Muhammad Zahoor , Alugongo Gibson Maswayi , Wang Wei , Wang Yajing , Cao Zhijun , Li Shengli 
Published: March 2020

Abstract
This study aimed to investigate the short and long-term effect of early in life exposure to different feed sources on feed sorting and rumen fermentation of calves. Forty newborn female Holstein calves were randomly divided based on supplementation of concentrate (CON) or hay (HAY) only during the milk-feeding stage (d 1 to 56). After that, all calves were offered a total mixed ration (TMR) containing 43% of forage and 57% of concentrate until the end of the experiment (d 57 to 196). Calves were weighed immediately after birth and raised in individual hutches until d 70. The calves were then transferred to a heifer barn, housed within treatment in pairs (2 calves/pen). Rectal temperature, feed intake, body weight, body structural measurement, fecal and cough score were recorded ranges from day 1 to 196. Fresh and orts feed were sampled daily at the first two weeks (d 57-70) once TMR was offered and at the last week of the experiment (d 190 to 196) for analysis of feed sorting. Rumen fluid samples were collected at ranges from d 14-190 for detecting rumen pH and volatile fatty acids (VFA) concentrations. Our findings showed that early feed exposure did not influence calf health and growth performance but affected feed sorting in a short period. Upon transition to the same mixed diet, differences were found between treatments in the sorting of the different particle fractions. At week 9 and 10, calves early exposed to concentrates began to sort for fine particle fraction (primarily concentrate in this fraction), and against the long particle fraction (solely forage in this fraction), whereas calves early fed hay sorted for the long particle fraction, and against the fine particle fraction. However, no carryover effect was found, the differences between treatments fade away when detecting feed sorting at the last week, all calves sorted for short and fine particle fractions, and sort against long and medium particle fractions. Although the pattern of feed sorting initially differed between treatments, the rumen pH and VFA concentration were not altered once all calves transitioned to a TMR. These results suggested that the feed familiarity established early in life would not affect diet selection and rumen fermentation in heifer later in life, the dietary experience after transition to same TMR would eventually override the effect of early feed experience.
Multidimensional Evaluation of Traditional Chinese Exercises for Cardiovascular Disease: A Protocol for Systemic Review.
Authors: Xu NingYang , Zhang Fan , Li Hang , Liu Yue , Wang Mei , Dang BoYi , Guan XueFeng 
Published: March 2020

Abstract
Background: Cardiovascular disease (CVD) remains the No. 1 leading cause of death worldwide and its mortality is still on the rise. Cumulative studies suggest that Traditional Chinese Exercises (TCEs), such as Tai Chi, Baduanjin, and Qi Gong, benefit cardiopulmonary function. In this study, we proposed a meta-analysis protocol to systemically review the benefits of TCEs for CVD using the International Classification of Functioning, Disability and Health (ICF) as the outcome measures. Methods: Randomized controlled studies on TCEs as a rehabilitation strategy for CVD patients and published till Dec. 2019 will be searched from eleven databases. Benefits of TCEs will be further grouped according to the ICF checklist, the subgroups of TCEs are to address heterogeneity. Study selection and data extraction will be performed independently by two reviewers. Data analysis will be performed using Review Manager software, and the risk of bias will be assessed using Cochrane criteria. Results: Results will be published in a peer-reviewed journal and disseminated electronically and in print. Conclusion: Using ICF as the reference, this study will provide novel insights on the value of TCEs as a rehabilitation approach for CVD patients. The results will help clinicians to design rehabilitation programs and select appropriate TCEs optimal for CVD patients. The protocol is applying for registration on PROSPERO. Figure A will prove.
LncRNA DCST1-AS1 downregulates miR-29b through methylation in glioblastoma (GBM) to promote cancer cell proliferation
Authors: Hu Sheng , Yao Yiqun , Hu Xiao , Zhu Yongjian 
Published: March 2020

Abstract
Background: Glioblastoma (GBM) is the most malignant form of brain cancer, owing to the high mortality rate. We in this study analyzed the role of DCST1-AS1 in glioblastoma (GBM).Methods: QuantiTect Reverse Transcription Kit (QIAGEN) was used, with RNA samples as template to synthesize cDNA. Results: It is observed that upregulation of DCST1-AS1 in GBM predicted poor survival. MiR-29b was downregulated in GBM and inversely correlated with the expression of DCST1-AS1. In GBM cells, DCST1-AS1 overexpression led to the downregulation of miR-29b and the increased methylation level of miR-29b gene. Cell proliferation analysis showed that DCST1-AS1 overexpression led to increased cell proliferation rate. Moreover, DCST1-AS1 overexpression significantly reversed the inhibitory effects of miR-29b on cancer cell proliferation. Conclusions: DCST1-AS1 may downregulate miR-29b through methylation in GBM to promote cancer cell proliferation.
Glycerophospholipids as Potential Serum Biomarkers for Traumatic Brain Injuries
Authors: Li Daniel , Saykin Andrew J. , Li Wei 
Published: March 2020

Abstract
Background: Traumatic brain injuries (TBI) have become a significant healthcare issue in the United States of America. Despite the existence of some neuroimaging techniques, a sensitive and reliable serum biomarker is desirable regarding to diagnosis, prognosis and therapeutic evaluation of patients with a history of TBI. Methods: Using data collected from participants of the Alzheimer’s Disease Neuroimaging Initiative, different analysis of covariance (ANCOVA) models were used to determine if glycerophospholipids could be potential serum biomarkers for patients with TBI. Results: Three phosphatidylcholines: PC.aa.C30.0, PC.aa.C38.5, and PC.aa.C40.5 as well as one lysophosphatidylcholine (LysoPC.a.C18.1) were identified to be potential serum biomarkers for TBI. The PC.aa.C30.0 serum level was higher in the TBI group than the non-TBI group. By contrast, the serum levels of PC.aa.C38.5 and PC.aa.C40.5 were lower in the TBI group than the non-TBI group. The LysoPC.a.C18.1 serum level was mainly determined by the cognitive status at baseline (a worse baseline cognition status associates with a lower level of LysoPC.a.C18.1). In participants with normal cognition, a significantly higher LysoPC.a.C18.1 serum level was seen in participants with than those without a history of TBI. Conclusions: Four glycerophospholipids are suggested to be potential TBI serum biomarkers. Among them, the LysoPC.a.C18.1 could function as a TBI serum biomarker for those without an abnormal cognition.
Complex Interaction of Hb Q-Thailand with α and β Thalassemia in a Hakka Family
Authors: Zheng Lin , Huang Hailong , Wu Xiaoqing , Shen Qingmei , Chen Meihuan , Wang Meiying , Su Linjuan , Xu Liangpu 
Published: March 2020

Abstract
Background HbQ-Thailand is an α-globin chain variant that results from a point mutation at codon 74 of the α1-globin gene on chromosome 16p. It commonly appears with a leftward single α-globin gene deletion (-α 4.2 ). There have been few reports regarding the interaction between HbQ-Thailand and other globin gene disorders. Here we found and diagnosed it in the Hakka population of the Fujian Province, China. The study provides an important reference for the clinic diagnose and genetic counseling of thalassemia and hemoglobin diseases. Methods Fresh peripheral blood samples were collected from the proband and her family members testing hematological parameters, hemoglobin components, thalassemia gene, and hemoglobin variants. Results The proband (II1) and her sister (II5) manifested in the obvious microcytic hypochromic anaemia. The CE electropherogram of II1 showed an abnormal band in the migration time at 185 s, which was confirmed as HbQ-Thailand. Another exception band appeared at 250 s of migration time and was proved to be HbE by sequence analysis method. The CE electropherogram of I1 and II3 showed an anomalous band HbE. The mother of the proband (I2) and the III4 and III5 of the family members showed a HbQ-Thailand. The gene results showed that the father (I1) also carried α- and β-thalassemia genes. His genotype was -- SEA and β codons26 ; -- SEA was inherited to II1, II 3, II5, III 1, and III2, and β codons26 was inherited to II1 and II3. The mother (I2) carries the -α 4.2 gene, which was inherited to II1, II5, III4, and III5. Conclusion It was complex to diagnose when the thalassemia combined with several abnormal haemoglobin disorders, and we may use various methods to mutual confirmation. Here we found and diagnosed a rare hemoglobin disease in the Hakka population of the Fujian Province. The study provides an important reference for the clinic diagnose and genetic counseling.
Morbidity and mortality in critically ill patients with invasive Group A streptococcus infection: an observational study
Authors: Björck Viveka , Påhlman Lisa I , Bodelsson Mikael , Petersson Ann_Cathrine , Kander Thomas 
Published: March 2020

Abstract
Background Group A streptococci (GAS) are known to cause serious invasive infections but little is known about outcomes when patients with these infections are admitted to intensive care. We wanted to describe critically ill patients with severe sepsis or septic shock due to invasive GAS (iGAS) and compare them with other patients with severe sepsis or septic shock. Methods Adult patients admitted to a general intensive care unit (ICU) in Sweden (2007-2019) were screened for severe sepsis or septic shock according to Sepsis 2 definition. Individuals with iGAS infection were identified. The outcome variables were mortality, days alive and free of vasopressors and invasive mechanical ventilation, maximum acute kidney injury score for creatinine, use of continuous renal replacement therapy and maximum sequential organ failure assessment score during the ICU stay. Age, simplified acute physiology score (SAPS 3) and iGAS were used as independent, explanatory variables in regression analysis. Cox regression was used for survival analyses. Results iGAS was identified in 53 of 1021 (5.2%) patients. Patients with iGAS presented lower median SAPS 3 score (62 [56–72]) vs 71 [61–81]), p < 0.001), had a higher frequency of cardiovascular cause of admission to the ICU (38 [72%] vs 145 [15%], p < 0.001) and had a higher median creatinine score (173 [100–311] vs 133 [86–208] µmol/L, p < 0.019). Of the GAS isolates, 50% were serotyped emm 1/T1 and this group showed signs of more pronounced circulatory and renal failure than patients with non- emm 1/T1, ( p = 0.036 and p = 0.007, respectively). After correction for severity of illness (SAPS 3) and age, iGAS infection was associated with lower mortality risk; 95% confidence interval (CI) of hazard ratio (HR) 0.204–0.746, p < 0.001. Morbidity analyses demonstrated that iGAS patients were more likely to develop renal failure. Conclusion Critically ill patients with iGAS infection had a lower mortality risk but a higher degree of renal failure compared to similarly ill sepsis patients. emm 1/T1 was found to be the most dominant serotype and patients with emm1 /T1 demonstrated more circulatory and renal failure than patients with other serotypes of iGAS.
Clinical course and progression of severe and critically ill patients with corona virus disease 2019
Authors: Ding Dan , Chen Xueying , Zhang Lei , Zhou Min , Xu Yongjian , Zhao Jianping , Zhou Ying , Wang Yi 
Published: March 2020

Abstract
Background：The emergence of Corona Virus Disease 2019 (COVID-19) in Wuhan, China at the end of 2019 is a major public health issue, causing to a large global outbreak. However, the information regarding the clinical characteristic and progression of severe and critically ill patients with COVID-19 is scarce.Methods: We conducted a single-center, retrospective, observational study and enrolled 126 severe and critically ill adult patients who were admitted to the intensive care unit (ICU) of Tongji hospital, between Feb 1 and Feb 20, 2020.Results: Of 126 patients, 85 patients with the positive of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were included. The mean age of 85 patients was 68.3 (SD 10.5) years. More than half were men, 55 (62.4%) had chronic illness. 57 (66.3%) patients had died before Feb 28, 2020. the median duration from onset of illness to death, hospitalization to death and ICU admission to death were 22 (17.0-26.0) days, 9.0 (6.0-13.0) days and 5.0 (2.0-6.0) days, respectively. Compared with survivors, non-survivors were more likely old (69.6 [SD 10.22] vs 65.6 [10.9]). Furthermore, the non-survivors had higher white blood cell (WBC) and neutrophil count, neutrophil percentage, high-sensitive C-reactive protein (hs-CRP) and lower lymphocyte and platelet count, lymphocyte percentage and albumin. Notably, arbidol may improve the survival of severe and critically ill patients.Conclusions: Our study reveals the non-survivors had worse blood routine and other clinical monitors. Additionally, arbidol may play useful role in the survival of severe and critically ill patients, which needs further validation.
Evaluation of the liver function by the liver parenchyma, spleen and portal vein signal intensity during the hepatobiliary phase with Gd-EOB-DTPA-enhanced MRI
Authors: Yang Ming , Zhang Yue , Zhao Wenlu , Cheng Wen , Wang Han , Guo Shengren 
Published: March 2020

Abstract
Background: Assessment of liver function is essential for the treatment and prognosis of patients with cirrhosis, previous studies used signal intensity of hepatobiliary phase to reflect liver function on gadolinium-ethoxybenzyl-diethylenetriamine penta-acetic acid (Gd-EOB-DTPA)-enhanced MR imaging. But none of these studies has conducted a unified study on liver, spleen and portal vein. Thus, the aim of this study is to conduct a unified study, investigate whether they can be used to evaluate the liver function in patients with cirrhosis and find out which one is better.Methods: A total of 120 patients with normal (n = 41), Child–Pugh class A (n = 50), B (n = 21) or C (n = 8) who underwent Gd-EOB-DTPA-enhanced 3 Tesla MR imaging were retrospectively reviewed. Comparison of MRI date (signal intensity of liver parenchyma, portal vein, spleen, and liver-to-portal vein [LPC], liver-to-spleen [LSC], portal vein-to-spleen [PSC] contrast ratio) on hepatobiliary phase 15 min among groups, and liver function parameters was quantitatively analyzed as well.Results: A significantly difference was observed between the SI of liver parenchyma, LPC and LSC among groups (P < 0.001). They all decreased gradually from normal to cirrhotic livers with Child–Pugh class C (P < 0.001). The SI of portal vein constantly and slightly increased from normal to Child–Pugh class C, but there were not differences among the groups (P > 0.05). LPC is more correlated with Child-Pugh score or MELD score than LSC and liver parenchyma SI. A receiver operating characteristic curve analysis revealed that the AUC in order from the large to the small are: LPC, LSC, and the liver parenchyma SI (0.892, 0.889, 0.836), but the differences of AUCs among them were not significant.Conclusion: Liver parenchyma SI, LSC and LPC might be used as alternatives imaging biomarker for assessing liver function. Furthermore, LPC values can more efficaciously indicate the severity between patients with cirrhosis than SI of liver parenchyma and LSC. Although the portal vein signal shows a certain upward trend, it could not be used to reflect liver function.
Population Outflow from Wuhan Determines the Spread and Distribution of the COVID-19 Epidemic in China
Authors: Jia Jayson S. , Lu Xin , Yuan Yun , Xu Ge , Jia Jianmin , Christakis Nicholas A. 
Published: March 2020

Abstract
Sudden, large-scale, and diffuse human migration can amplify localized outbreaks into pandemics. Rapid and accurate tracking of human population mobility using reliable mobile phone data could therefore be helpful for policy responses. Here, we examine mobile phone geolocation data for all 18,514,920 counts of individuals egressing or transiting through the prefecture of Wuhan, China, between January 1 and 24, 2020. First, we document the efficacy of quarantine measures in ceasing population movement.Second, we show that the distribution of population outflow from Wuhan accurately predicts the relative frequency of, and geographical distribution of, COVID-19 infections through February 12, 2020, across all of China, up to two weeks in advance. Third, we present a risk model that not only predicts confirmed cases, but also identifies high- transmission-risk locales at an early stage. Fourth, we develop a mobility-data-driven modeling framework to statistically derive the growth pattern of COVID-19 and its spread; this model can yield a benchmark trend and an index for assessing COVID-19 risk for different geographic locations (290 prefectures). Prefectures above the index’s 90% confidence interval are likely experiencing more local transmissions than imported cases; prefectures below the 90% confidence interval are controlling the spread of the virus more effectively (or, alternatively, are at greater risk of information inaccuracy). This approach can be used by policy makers in developing nations, which typically have mobile phone infrastructure but limited healthcare capabilities, to make rapid and accurate risk assessments ahead of second-wave outbreaks in order to overcome resource and logistics limitations.