bluuebunny/crossref_metadata_2025_split huggingface dataset:
Conditionally immortalised equine skeletal muscle cell lines for in vitro analysis.
Authors: Hill Emmeline , Porter Richard , Neto Nuno , Monaghan Michael , Rooney Mary Francis 
Published: August 2022

Abstract
BackgroundThoroughbred racehorse performance is largely influenced by a major quantitative trait locus at the myostatin (MSTN) gene which determines aptitude for certain race distances due to a promoter region insertion mutation influencing functional phenotypes in skeletal muscle. To develop an in vitro system for functional experiments we established three novel equine skeletal muscle cell lines reflecting the variation in phenotype associated with MSTN genotype (CC/II, CT/IN and TT/NN for SNP g.66493737C>T/SINE insertion 227 bp polymorphism). Primary equine skeletal muscle myoblasts, isolated from Thoroughbred horse gluteus medius, were conditionally immortalised and evaluated to determine whether cell phenotype and metabolic function were comparable to functional characteristics previously reported for ex vivo skeletal muscle isolated from Thoroughbred horses with each genotype.ResultsPrimary myoblasts conditionally immortalized with the temperature sensitive SV40TtsA58 lentivirus vector successfully proliferated and could revert to their primary cell phenotype and differentiate into multinucleated myotubes. Skeletal muscle fibre type, MSTN gene expression, mitochondrial abundance, and mitochondrial function of the three MSTN genotype cell lines, were consistent with equivalent characterisation of ex vivo skeletal muscle samples with these genotypes. Furthermore, addition of coenzyme Q10 (CoQ10) to the cell lines improved mitochondrial function, an observation consistent with ex vivo skeletal muscle samples with these genotypes following supplementation with CoQ10 in the diet. ConclusionsThe observation that the phenotypic characteristics and metabolic function of the cells lines are equivalent to ex vivo skeletal muscle indicates that this in vitro system will enable efficient and cost-effective analyses of equine skeletal muscle for a range of different applications including understanding metabolic function, testing of nutritional supplements, drug test development and gene doping test development. In the multi-billion-euro international Thoroughbred horse industry research advances in the biological function of skeletal muscle are likely to have considerable impact. Furthermore, this novel genotype-specific system may be adapted and applied to human biomedicine to improve understanding of the effects of myostatin in human physiology and medicine.
Cost-effective Network Disintegration through Targeted Enumeration
Authors: Wang Zhigang , Deng Ye , Holme Petter , Di Zengru , Lu Linyuan , Wu Jun 
Published: August 2022

Abstract
We live in a hyperconnected world---connectivity that can sometimes be detrimental. Finding an optimal subset of nodes or links to disintegrate harmful networks is a fundamental problem in network science, with potential applications to anti-terrorism, epidemic control, and many other fields of study. The challenge of the network disintegration problem is to balance the effectiveness and efficiency of strategies. In this paper, we propose a cost-effective targeted enumeration method for network disintegration. The proposed approach includes two stages: searching candidate objects and identifying an optimal solution. In the first stage, we use rank aggregation to generate a comprehensive node importance ranking, upon which we identify a small-scale candidate set of nodes to remove. In the second stage, we use an enumeration method to find an optimal combination among the candidate nodes. Extensive experimental results on synthetic and real-world networks demonstrate that the proposed method achieves a satisfying trade-off between effectiveness and efficiency. The introduced two-stage targeted enumeration framework can also be applied to other computationally intractable combinational optimization problems, from team assembly, via portfolio investment, to drug design.
An accelerated sequential minimal optimization method for the least squares support vector machine
Authors: Liu Siyi , Li Shengjie 
Published: August 2022

Abstract
Least squares support vector machine(LS-SVM) is an important variant of traditional support vector machine, which is used to solve pattern recognition and function prediction. We propose an improved version of the Sequential minimum optimization(SMO) algorithm for training LS-SVM, based on a acclerated grdient method. In this paper we consider adding a new point to capture previous update information. We adopt the idea of Nesterov acceleration method, which gets intermediate points from previous update information and then updates the new iteration point. we show experimentally that the improvement method can significantly reduce the number of iterations, and the training time of LS-SVM can also be reduced in the improvement first-order SMO.
Titers of antibodies the receptor-binding domain (RBD) of ancestral SARS-CoV-2 are predictive for levels of neutralizing antibodies to multiple variants
Authors: Lund-Johansen Fridtjof , Tran Trung , Vaage Eline , Mehta Adi , Chopra Adity , Kolderup Anette , Anthi Aina , König Marton , Nygaard Gro , Lind Andreas , Müller Fredrik , Nissen-Meyer Lise , Magnus Per , Trogstad Lill-Iren Schou , Mjaaland Siri , Søraas Arne , Midtvedt Karsten , Åsberg Anders , Barratt-Due Andreas , Medhus Asle Wilhelm , Høivik Marte Lie , Lundin Knut E. A. , Karlsen Randi , Dahle Reidun , Danielsson Karin , Thomassen Kristine , Kro Grete Birkeland , Cox Rebecca , Zhou Fan , Langeland Nina , Aukrust Pål , Melum Espen , Åvitsland Tone , Wiencke Kristine , Holter Jan , Munthe Ludvig , Grodeland Gunnveig , Andersen Jan , Vaage John 
Published: August 2022

Abstract
Diagnostic assays currently used to monitor the efficacy of COVID-19 vaccines measure levels of antibodies to the receptor-binding domain of ancestral SARS-CoV-2 (RBDwt). However, the predictive value for protection against new variants of concern (VOCs) has not been firmly established. Here, we used bead-based arrays and flow cytometry to measure binding of antibodies to spike proteins and receptor-binding domains (RBDs) from VOCs in 12,000 sera. Effects of sera on RBD-ACE2 interactions were measured as a proxy for neutralizing antibodies. The samples were obtained from healthy individuals or patients on immunosuppressive therapy who had received two to four doses of COVID-19 vaccines and from COVID-19 convalescents. The results show that anti-RBDwt titers correlate with the levels of binding- and neutralizing antibodies against the Alpha, Beta, Gamma, Delta, Epsilon and Omicron variants. The benefit of multiplexed analysis lies in the ability to measure a wide range of anti-RBD titers using a single dilution of serum for each assay. The reactivity patterns also yield an internal reference for neutralizing activity and binding antibody units per milliliter (BAU/ml). Results obtained with sera from vaccinated healthy individuals and patients confirmed and extended results from previous studies on time-dependent waning of antibody levels and effects of immunosuppressive agents. We conclude that anti-RBDwt titers correlate with levels of neutralizing antibodies against VOCs and propose that our method may be implemented to enhance the precision and throughput of immunomonitoring.
Working memory dysfunction in fibromyalgia is associated with genotypes of the catechol- O-methyltransferase gene: An event-related potential study
Authors: Ferrera David , Gómez-Es Francisco , Peláez Irene , Barjola Paloma , Fernandes-Magalhaes Roberto , Carpio Alberto , De Lahoz María Eugenia , Martín-Buro María Carmen , Mercado Francisco 
Published: August 2022

Abstract
Recent findings have associated different COMT genotypes with working memory capacity in patients with fibromyalgia. Although it is thought that the COMT gene may influence neural correlates (P2 and P3 ERP components) underlying working memory impairment in this chronic pain syndrome, it has not yet been explored. Therefore, the aim of the present research was to investigate the potential effect of the COMT gene in fibromyalgia patients on ERP working memory indices (P2 and P3 components). For this purpose, 102 participants (51 patients and 51 healthy control participants) took part in the experiment. Event-related potentials and behavioural responses were recorded while participants performed a spatial n-back task. Participants had to decide if the stimulus coincided or not in the same location as the one presented one (1-back condition) or two (2-back condition) trials before. Genotypes of the COMT gene were determined through a saliva sample from all participants. Present results significantly showed lower working memory performance (p < 0.05) in patients with fibromyalgia as compared to control participants (higher rate of errors and slower reaction times). At neural level, we found that patients exhibited enhanced frontocentral and parieto-occipital P2 amplitudes compared to control participants (p < 0.05). Interestingly, we also observed that only fibromyalgia patients carrying the Val/Val genotype of the COMT gene showed higher frontocentral P2 amplitudes than control participants (p < 0.05). Current results (behavioural outcomes and P2 amplitudes) confirmed the presence of an alteration in working memory functioning in fibromyalgia. The enhancement of frontocentral P2 could be reflecting that these patients would manifest an inefficient way of activating executive attention processes, in carriers of the Val/Val genotype of COMT. To our knowledge, the present findings are the first linking neural indices of working memory dysfunctions and COMT genotypes in fibromyalgia. Applying a subgroup of patient’s strategy based on this genetic marker could be useful to establish more tailored therapeutical approaches.
Resolution of the sec-max-product fuzzy relation inequalities and its lexicographic minimum solution ∗
Authors: Qiu Jianjun , Yang Xiao-Peng 
Published: August 2022

Abstract
In this paper we consider the wireless Server-to-Client (S2C) network system with server peers and user (client) peers. The server peers provide the data resources to the user peers. In order to describe the wireless S2C network system in which there exists at least one candidate server for each user, we define and investigate the so-called sec-max-product fuzzy relation inequalities. Basic properties and the structure of the solution set have been studied for the sec-max-product fuzzy relation inequalities system. Moreover, the optimal solution under a lexicographic order is further proposed and studied for such sec-max-product system, which is able to minimize all the variables under some fixed priority grade. In addition, an efficient resolution algorithm is developed with illustrative examples.
C2IM-ILP: Community-based Context-aware Influence Maximization in Social Networks using Integer Linear Programming
Authors: Singh Shashank Sheshar , Rai Pradeep , Arora Aashish , Singh Kuldeep 
Published: August 2022

Abstract
Social network analysis has attracted researchers across research areas such as social science and computer science to analyze the discovery of web services from social networks. The social network has immense application potential to real-world problems like viral marketing, fake news detection, the study of political blogs, information diffusion, link prediction, and community detection. The influence maximization (IM) problem finds a set of most influential users in a social network to maximize the spread of any information, idea, innovation, and product adoption. With the rapid growth of the social network, the IM problem faces two major challenges like effectiveness and efficiency. We propose a Community-based Context-aware Influence Maximization algorithm using Integer Linear Programming (C2IM-ILP) to tackle both the challenges. A community-based integer linear programming (ILP) solution is presented to reduce the search space of the solution. Next, a contextual feature user’s interest and product information are utilized to improve seed effectiveness, and an integer linear programming solution is presented to identify influential users. We have also analyzed the classical ILP solution for the target set selection problem (TSSP) and IM problem. Finally, experimental analyses on real-world social networks have been performed to validate the performance of C2IM-ILP against state-of-the-art algorithms.
Birth weight and four global-leading cancers: a linear and nonlinear Mendelian randomization study
Authors: Yu Yuefeng , Zhang Haojie , Chen Chi , Wang Yuying , Tan Xiao , Zhang Jihui , Wang Ningjian , Lu Yingli 
Published: August 2022

Abstract
Background: Birth weight (BW) reflects summary exposure measure for the intrauterine environment that affects fetal growth. The causal role of BW in four global-leading cancers is unclear.Objective: To apply Mendelian randomization (MR) to investigate the linear and nonlinear association between BW and four cancers (lung, colorectal, breast and prostate cancer).Methods: Two-sample summary data MR—from published genome-wide association studies for the associations of single-nucleotide polymorphisms (SNPs) with BW (sample 1), and from the UK Biobank for the associations of SNPs with cancer outcomes (236,201 participants) (sample 2)—was used. Non-linear MR—the fractional polynomial method for investigation on the nonlinear relationship between genetically proxied birth weight and risk of four global leading cancers.Results: After Bonferroni correction for multiple testing, genetically predicted BW was significantly inversely associated with prostate cancer. The odds ratio per 1 standard deviation increase in birth weight was 0.586 [95% confidence interval (CI) 0.388, 0.885; P =0.011] using the two-stage least squares (2SLS) method. Two sample IVW method confirmed the result. Non-linear MR suggested that there was suggestive evidence of L-shaped associations between genetically predicted birth weight and prostate cancer (Cochran Q P = 0.027; Quadratic test P = 0.049). We did not find significant evidence of the causal effect of birth weight on lung, colorectal and prostate cancer with linear and nonlinear MR analyses. Conclusions: Lower birth weight can be causally associated with an increased susceptibility to prostate cancer. Population-level interventions to maintain an optimal birth weight may lower prostate cancer risk in life. Further underlying mechanism exploration is also warranted.
Prognostic significance of surgery and radiotherapy in elderly patients with localized prostate cancer:A SEER-based study
Authors: Zhanghuang Chenghao , Zhang Kun , Wang Jinkui , Ma Jing , Li Li , Yao Zhigang , Ji Fengming , Wu Chengchuang , Tang Haoyu , Yang Zhen , Xie Yucheng , Yan Bing 
Published: August 2022

Abstract
Objective
Prostate cancer (PC) is a significant disease affecting men's health worldwide. More than 60% of patients over 65 years old and more than 80% are diagnosed with localized PC. The current choice of treatment modalities for localized PC and whether overtreatment is controversial. Therefore, we wanted to construct a nomogram to predict the risk factors associated with cancer-specific survival (CSS) and overall survival (OS) in elderly patients with localized PC while assessing the survival differences in surgery and radiotherapy for elderly patients with localized PC.
Methods
The information of patient was obtained from the Surveillance, Epidemiology, and End Results (SEER) database, and this study was aimed at localized PC patients over 65 years. Independent risk factors for assessing CSS and OS of patients were determined by univariate and multivariate Cox regression models. A multivariate Cox regression model was used to establish nomograms for predicting CSS and OS. The accuracy and discriminability of the prediction model were tested by the concordance index (C-index), the area under the receiver operating characteristic curve (AUC) and the calibration curve. Decision curve analysis (DCA) was used to test the potential clinical value of this model.
Results
From 2010 to 2018, there were a total of 90,434 PC patients included in this study, all of whom were diagnosed with localized PC and were over 65 years of age. This study is divided into training set (n = 63328) and validation set (n = 27106) according to the ratio of 7:3. The results showed that independent risk factors for predicting CSS in elderly localized PC patients included T stage, age, surgery, marriage, radiotherapy, prostate-specific antigen (PSA), Gleason score (GS), and race. The independent risk factors for predicting OS included surgery, radiotherapy, marriage, age, race, GS and PSA. The c-index of the training and validation sets for predicting OS is 0.712(95%:0.704–0.720) and 0.724(95%:0.714–0.734). It shows that the nomograms have excellent discriminatory ability. The AUC and the calibration curves also show good accuracy and discriminability.
Conclusions
We have developed new nomograms to predict CSS and OS in elderly patients with localized PC. After internal validation and external temporal validation with good accuracy and reliability, and potential clinical value, the model can be used for clinically assisted decision-making.
Factors associated with delayed diagnosis of severe mental disorders in China
Authors: Li Shiming , Jiang Ying , Yang Queping , Yin Jieyun , Ji Yingying , Tian Lin , Zhu Haohao , Qian Ning , Zhou Zhenhe 
Published: August 2022

Abstract

Background: To understand the incidence and influencing factors of delayed diagnosis of patients with severe mental disorders in China and to provide a basis for formulating treatment and assistance policies for patients with severe mental disorders.Methods: Based on the basic and follow-up file information of severe mental disorder patients registered in the Jiangsu severe mental disorder management system, the occurrence of delayed diagnosis of severe mental disorder patients in Wuxi community was analysed, and the influencing factors was conducted through logistic regression analysis. The delayed diagnosis was defined as the time between the first abnormal behavior observed by family members and the formal diagnosis of psychosis.Results: A total of 27 964 people with SMD were involved in the analysis, and the median delayed diagnosis was 3.2 months (IQR 1.3–28.2). The incidence of delayed diagnosis was 49.59%. After adjusting for other factors, multivariate logistic regression analysis showed that age, household registration, education, marriage, medical insurance, subsistence allowances, diagnosis classification, antipsychotic treatment and number of visits to general hospitals (per year) were associated with a delayed diagnosis.Conclusions: Through the investigation of large sample data, we found some influencing factors of delayed diagnosis in China. Therefore, according to the current research results, we should strengthen the propaganda of mental health policy, improve the mental health literacy of community residents, and reduce the stigma of patients with serious mental disorders in the community.
In-Hospital Complications and Long-term Outcomes of Carotid Artery Stenting: INCARCERATE Study
Authors: Mohebbi Bahram , Amiri Faramarz , Golmohammadi Neda , Shishehbor Mehdi H. , Shafe Omid , Moosavi Jamal , Sadeghipour Parham , Hashemi Gelareh Bani , Zolfaghari Reza , Firouzi Ata , Hokmabadi Elyar Sadeghi , Bakhshandeh Hooman , Ghorbani Askar 
Published: August 2022

Abstract
Background: One of the most common and treatable causes of stroke is carotid artery stenosis. Carotid artery stenting (CAS) is an option for treating the stenosis, with such notable clinical outcomes as low rates of in-hospital death, stroke, and intracerebral hemorrhage.Methods: All patients who underwent carotid angioplasty between December 2010 and January 2019 in Rajaie Cardiovascular Medical and Research Center were enrolled. The incidence rates of major adverse cardiac and cerebral events (MACCE), defined as a composite of stroke, myocardial infarction, bleeding, and all-cause mortality, both during hospitalization and at long-term follow-up were determined. Results: A total of 380 patients, 264 (69.5%) symptomatic and 116 (30.5%) asymptomatic, were included. The mean age of study population was 68.6 ± 10.6 years. During post-CAS in-hospital course, stroke occurred in 2 (0.5%), intracranial hemorrhage in 4 (1.1%), death in 2 (0.5%) and MACCE in 8 (2.1%) in symptomatic, and stroke in 1 (0.3%), intracranial hemorrhage in 1 (0.3%), death in 1 (0.3%) and MACCE in 3 (0.8%) in asymptomatic patients. Totally, stroke occurred in 3 (0.8%), intracranial hemorrhage in 5 (1.3%), death in 3 (0.8%), and MACCE in 11 (2.89%) patients.Long-term follow-up (40.95 ± 15.81 months) was performed on 295 (77.6%) patients; the results demonstrated a mortality rate of 13.9% (n = 41) which 30 (10.1%) cases belonged to symptomatic and 11 (3.7%) cases were from asymptomatic patients. Stroke happened in 26 (8.8%), that 18 (6.1%) cases were symptomatic and 8 (2.7%) cases were asymptomatic. MACCE rate was 19.3% (n = 57) which 41 (13.8%) cases were symptomatic and 16 (5.4%) were asymptomatic. Age (OR: 1.040, 95% CI: 1.002 to 1.079) was confirmed as a meaningful variable for the occurrence of MACCE. Conclusions: Our results confirm the safety and efficacy of carotid stenting in experienced centers. Age was as an important predictor of all-cause mortality, myocardial infarction, and MACCE.
Computational prediction and CRISPR-Cas12a knockout and rescue assays identify many functionally conserved lncRNAs from zebrafish to human
Authors: Zhang Qiangfeng Cliff , Xiong Tuanlin , Huang Wenze , Zhao Yuting , Han Ge , Zhao Zhihua , Shi Ming , Li Juan , Xi Jianzhong , Wang Yangming 
Published: August 2022

Abstract
Advances in RNA-seq studies have enabled transcriptome-scale annotation of long noncoding RNAs (lncRNAs) across vertebrates, with many of them having been implicated as regulators in diverse cellular processes1–3. However, our understanding of lncRNA function has long been hindered by the lack of methods to assess lncRNA evolution across species4–6. Here, we develop a computational pipeline, lncHOME (lncRNA Homology Explorer), to identify a special class of lncRNAs with conserved genomic locations and patterns of RNA binding protein (RBP) binding sites (coPARSE-lncRNAs). Strikingly, lncHOME identifies several hundred human coPARSE-lncRNAs that can be evolutionarily traced to zebrafish. We further develop a CRISPR-Cas12a (Cpf1) knockout screen system and find that the knockout of many of these human coPARSE-lncRNAs leads to cell proliferation defects, which could be rescued by the predicted lncRNA homologs from zebrafish. Finally, for two coPARSE-lncRNAs, we verified that their homologs from human, mouse, and zebrafish tend to bind a similar set of RBPs with cell proliferation functions. Thus, our study illustrates a general approach for studying lncRNA functional conservation and implicates numerous lncRNAs in regulating cellular physiology.