bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Isometric Resistance Training on Blood Pressure Values in a Group of Normotensive Participants: A Systematic Review and Meta-analysis
Authors: Loaiza-Betancur Andrés F. , Pérez Bedoya Edison , Montoya Dávila Jeison , Chulvi-Medrano Iván 
Published: March 2020

Context: Cardiovascular diseases cause 17 million deaths annually worldwide, of which hypertension is responsible for 9.4 million and a 7% burden of disease. High blood pressure is responsible for 45% of deaths from heart disease and 51% of deaths from stroke. Objective: The aim of this systematic review and meta-analysis was to quantify the effect of isometric resistance training on systolic, diastolic, and mean arterial blood pressure (SBP, DBP, and MAP, respectively) values in normotensive adult participants. Data Sources: This study was registered with the PROSPERO database. Eligible studies were identified after performing a systematic search within the following databases: PubMed, Scielo, BioMed Central, Clinical Trials, EMBASE, Cochrane Central Register of Controlled Trials, and EBSCO. Study Selection: Randomized controlled trials that categorized participants as normotensive according to the guidelines of the American Heart Association and the American College of Cardiology were included. Study Design: Systematic review with meta-analysis. Level of Evidence: Level 1. Data Extraction: Data related to participant characteristics, exercise programs, level of evidence, risk of bias, Consensus on Exercise Reporting Template, and outcomes of interest were systematically reviewed independently by 2 authors. Results: A total of 6 randomized controlled trials were included. The following reductions in blood pressure (compared with the control group) were generated by isometric resistance training: SBP (mean difference [MD], −2.83 mm Hg; 95% CI, −3.95 to −1.72; P < 0.00001), DBP (MD, −2.73; 95% CI, −4.23 to −1.24; P = 0.0003), and MAP (MD, −3.07; 95% CI, −5.24 to −0.90; P = 0.005). Conclusion: It appears that isometric resistance training reduces SBP, DBP, and MAP in normotensive young adults in a statistically significant and clinically relevant manner. This type of exercise could be considered effective in preventing arterial hypertension.
An Overview of Bearing Candidates for the Next Generation of Reusable Liquid Rocket Turbopumps
Authors: Xu Jimin , Li Changhuan , Miao Xusheng , Zhang Cuiping , Yuan Xiaoyang 
Published: March 2020

AbstractThere is a consensus in the aerospace field that the development of reusable liquid rockets can effectively reduce the launch expense. The pursuit of a long service life and reutilization highly depends on the bearing components. However, the rolling element bearings (REBs) used in the existing rocket turbopumps present obvious and increasing limitations due to their mechanical contacting mode. For REBs, high rotational speed and long service life are two performance indexes that mutually restrict each other. To go beyond the DN value (the product of the bearing bore and rotational speed) limit of REBs, the major space powers have conducted substantial explorations on the use of new types of bearings to replace the REB. This review discusses, first, the crucial role of bearings in rocket turbopumps and the related structural improvements of REBs. Then, with the prospect of application to the next generation of reusable liquid rocket turbopumps, the bearing candidates investigated by major space powers are summarized comprehensively. These promising alternatives to REBs include fluid-film, foil, and magnetic bearings, together with the novel superconducting compound bearings recently proposed by our team. Our more than ten years of relevant research on fluid-film and magnetic bearings are also introduced. This review is meaningful for the development of long-life and highly reliable bearings to be used in future reusable rocket turbopumps.
RETRACTED ARTICLE: Downregulation of miR-483-5p decreases hypoxia-induced injury in human cardiomyocytes by targeting MAPK3
Authors: Hao Yan , Yuan Haitao , Yu Houzhi 
Published: March 2020

Abstract
Background
MiR-483-5p was recently identified as a risk factor in the early stages of acute myocardial infarction (AMI) patients. Here, we further investigated how miR-483-5p affects cardiomyocyte apoptosis and oxidative stress under hypoxic conditions.

Methods
Plasma samples were collected from AMI patients and healthy volunteers. The expression of miR-483-5p was determined using quantitative real-time PCR. An in vitro hypoxic model was constructed to mimic AMI in AC16 cells. Cell viability, apoptosis and oxidative stress biomarker levels (MDA, SOD and CAT) were respectively determined using CCK-8, flow cytometry and commercial assay kits.

Results
The expression levels of miR-483-5p were significantly higher in AMI patients than in control subjects. Circulating levels of miR-483-5p positively correlated with creatine kinase MB isoform (CK-MB) and cardiac troponin I (cTnI) levels. The in vitro experiments showed that the expression levels of miR-483-5p were also upregulated in hypoxia-induced AC16 cell injury. MiR-483-5p overexpression significantly increased hypoxia-induced cardiomyocyte apoptosis and oxidative stress, while knockdown attenuated these effects. Mechanistically, miR-483-5p directly targets MAPK3 in AC16 cells. Furthermore, the protective effects of miR-483-5p knockdown against hypoxia-induced cardiomyocyte injury are partially dependent on MAPK3.

Conclusions
MiR-483-5p, which targets MAPK3, might be a potential therapeutic target for the diagnosis and prevention of hypoxia-induced myocardial injury.
Factors influencing termination of resuscitation in children: a qualitative analysis
Authors: Campwala Rashida T. , Schmidt Anita R. , Chang Todd P. , Nager Alan L. 
Published: March 2020

Abstract
Background
Pediatric Advanced Life Support provides guidelines for resuscitating children in cardiopulmonary arrest. However, the role physicians’ attitudes and beliefs play in decision-making when terminating resuscitation has not been fully investigated. This study aims to identify and explore the vital “non-medical” considerations surrounding the decision to terminate efforts by U.S.-based Pediatric Emergency Medicine (PEM) physicians.

Methods
A phenomenological qualitative study was conducted using PEM physician experiences in terminating resuscitation within a large freestanding children’s hospital. Semi-structured interviews were conducted with 17 physicians, sampled purposively for their relevant content experience, and continued until the point of content saturation. Resulting data were coded using conventional content analysis by 2 coders; intercoder reliability was calculated as κ of 0.91. Coding disagreements were resolved through consultation with other authors.

Results
Coding yielded 5 broad categories of “non-medical” factors that influenced physicians’ decision to terminate resuscitation: legal and financial, parent-related, patient-related, physician-related, and resuscitation. When relevant, each factor was assigned a directionality tag indicating whether the factor influenced physicians to terminate a resuscitation, prolong a resuscitation, or not consider resuscitation. Seventy-eight unique factors were identified, 49 of which were defined by the research team as notable due to the frequency of their mention or novelty of concept.

Conclusion
Physicians consider numerous “non-medical” factors when terminating pediatric resuscitative efforts. Factors are tied largely to individual beliefs, attitudes, and values, and likely contribute to variability in practice. An increased understanding of the uncertainty that exists around termination of resuscitation may help physicians in objective clinical decision-making in similar situations.
Distribution of variants in multiple vitamin D-related loci (DHCR7/NADSYN1, GC, CYP2R1, CYP11A1, CYP24A1, VDR, RXRα and RXRγ) vary between European, East-Asian and Sub-Saharan African-ancestry populations
Authors: Jones Patrice , Lucock Mark , Chaplin George , Jablonski Nina G. , Veysey Martin , Scarlett Christopher , Beckett Emma 
Published: March 2020

AbstractBackgroundThe frequency of vitamin D-associated gene variants appear to reflect changes in long-term ultraviolet B radiation (UVB) environment, indicating interactions exist between the primary determinant of vitamin D status, UVB exposure and genetic disposition. Such interactions could have health implications, where UVB could modulate the impact of vitamin D genetic variants identified as disease risk factors. However, the current understanding of how vitamin D variants differ between populations from disparate UVB environments is limited, with previous work examining a small pool of variants and restricted populations only.MethodsGenotypic data for 46 variants within multiple vitamin D-related loci (DHCR7/NADSYN1,GC,CYP2R1,CYP11A1,CYP27A1,CYP24A1,VDR,RXRαandRXRγ) was collated from 60 sample sets (2633 subjects) with European, East Asian and Sub-Saharan African origin via the NCBI 1000 Genomes Browser and ALFRED (Allele Frequency Database), with the aim to examine for patterns in the distribution of vitamin D-associated variants across these geographic areas.ResultsThe frequency of all examined genetic variants differed between populations of European, East Asian and Sub-Saharan African ancestry. Changes in the distribution of variants inCYP2R1,CYP11A1,CYP24A1,RXRαandRXRγgenes between these populations are novel findings which have not been previously reported. The distribution of several variants reflected changes in the UVB environment of the population’s ancestry. However, multiple variants displayed population-specific patterns in frequency that appears not to relate to UVB changes.ConclusionsThe reported population differences in vitamin D-related variants provides insight into the extent by which activity of the vitamin D system can differ between cohorts due to genetic variance, with potential consequences for future dietary recommendations and disease outcomes.
Understanding vestibular-related physiological functions could provide clues on adapting to a new gravitational environment
Authors: Morita Hironobu , Kaji Hiroshi , Ueta Yoichi , Abe Chikara 
Published: March 2020

AbstractThe peripheral vestibular organs are sensors for linear acceleration (gravity and head tilt) and rotation. Further, they regulate various body functions, including body stability, ocular movement, autonomic nerve activity, arterial pressure, body temperature, and muscle and bone metabolism. The gravitational environment influences these functions given the highly plastic responsiveness of the vestibular system. This review demonstrates that hypergravity or microgravity induces changes in vestibular-related physiological functions, including arterial pressure, muscle and bone metabolism, feeding behavior, and body temperature. Hopefully, this review contributes to understanding how human beings can adapt to a new gravitational environment, including the moon and Mars, in future.
Machine learning prediction of oncology drug targets based on protein and network properties
Authors: Dezső Zoltán , Ceccarelli Michele 
Published: March 2020

Abstract
Background
The selection and prioritization of drug targets is a central problem in drug discovery. Computational approaches can leverage the growing number of large-scale human genomics and proteomics data to make in-silico target identification, reducing the cost and the time needed.

Results
We developed a machine learning approach to score proteins to generate a druggability score of novel targets. In our model we incorporated 70 protein features which included properties derived from the sequence, features characterizing protein functions as well as network properties derived from the protein-protein interaction network. The advantage of this approach is that it is unbiased and even less studied proteins with limited information about their function can score well as most of the features are independent of the accumulated literature. We build models on a training set which consist of targets with approved drugs and a negative set of non-drug targets. The machine learning techniques help to identify the most important combination of features differentiating validated targets from non-targets. We validated our predictions on an independent set of clinical trial drug targets, achieving a high accuracy characterized by an Area Under the Curve (AUC) of 0.89. Our most predictive features included biological function of proteins, network centrality measures, protein essentiality, tissue specificity, localization and solvent accessibility. Our predictions, based on a small set of 102 validated oncology targets, recovered the majority of known drug targets and identifies a novel set of proteins as drug target candidates.

Conclusions
We developed a machine learning approach to prioritize proteins according to their similarity to approved drug targets. We have shown that the method proposed is highly predictive on a validation dataset consisting of 277 targets of clinical trial drug confirming that our computational approach is an efficient and cost-effective tool for drug target discovery and prioritization. Our predictions were based on oncology targets and cancer relevant biological functions, resulting in significantly higher scores for targets of oncology clinical trial drugs compared to the scores of targets of trial drugs for other indications. Our approach can be used to make indication specific drug-target prediction by combining generic druggability features with indication specific biological functions.
Joining Illumina paired-end reads for classifying phylogenetic marker sequences
Authors: Liu Tsunglin , Chen Chen-Yu , Chen-Deng An , Chen Yi-Lin , Wang Jiu-Yao , Hou Yung-I , Lin Min-Ching 
Published: March 2020

Abstract
Background
Illumina sequencing of a marker gene is popular in metagenomic studies. However, Illumina paired-end (PE) reads sometimes cannot be merged into single reads for subsequent analysis. When mergeable PE reads are limited, one can simply use only first reads for taxonomy annotation, but that wastes information in the second reads. Presumably, including second reads should improve taxonomy annotation. However, a rigorous investigation of how best to do this and how much can be gained has not been reported.

Results
We evaluated two methods of joining as opposed to merging PE reads into single reads for taxonomy annotation using simulated data with sequencing errors. Our rigorous evaluation involved several top classifiers (RDP classifier, SINTAX, and two alignment-based methods) and realistic benchmark datasets. For most classifiers, read joining ameliorated the impact of sequencing errors and improved the accuracy of taxonomy predictions. For alignment-based top-hit classifiers, rearranging the reference sequences is recommended to avoid improper alignments of joined reads. For word-counting classifiers, joined reads could be compared to the original reference for classification. We also applied read joining to our own real MiSeq PE data of nasal microbiota of asthmatic children. Before joining, trimming low quality bases was necessary for optimizing taxonomy annotation and sequence clustering. We then showed that read joining increased the amount of effective data for taxonomy annotation. Using these joined trimmed reads, we were able to identify two promising bacterial genera that might be associated with asthma exacerbation.

Conclusions
When mergeable PE reads are limited, joining them into single reads for taxonomy annotation is always recommended. Reference sequences may need to be rearranged accordingly depending on the classifier. Read joining also relaxes the constraint on primer selection, and thus may unleash the full capacity of Illumina PE data for taxonomy annotation. Our work provides guidance for fully utilizing PE data of a marker gene when mergeable reads are limited.
The genetic control of leaf allometry in the common bean, Phaseolus vulgaris
Authors: Zhang Miaomiao , Zhang Shilong , Ye Meixia , Jiang Libo , Vallejos C. Eduardo , Wu Rongling 
Published: March 2020

AbstractBackgroundTo maximize photosynthetic efficiency, plants have evolved a capacity by which leaf area scales allometrically with leaf mass through interactions with the environment. However, our understanding of genetic control of this allometric relationship remains limited.ResultsWe integrated allometric scaling laws expressed at static and ontogenetic levels into genetic mapping to identify the quantitative trait loci (QTLs) that mediate how leaf area scales with leaf mass and how such leaf allometry, under the control of these QTLs, varies as a response to environment change. A major QTL detected by the static model constantly affects the allometric growth of leaf area vs. leaf mass for the common bean (Phaseolus vulgaris) in two different environments. The ontogenetic model identified this QTL plus a few other QTLs that determine developmental trajectories of leaf allometry, whose expression is contingent heavily upon the environment.ConclusionsOur results gain new insight into the genetic mechanisms of how plants program their leaf morphogenesis to adapt to environmental perturbations.
miR-34a regulates adipogenesis in porcine intramuscular adipocytes by targeting ACSL4
Authors: Wang Wenwen , Li Xiuxiu , Ding Ning , Teng Jun , Zhang Shen , Zhang Qin , Tang Hui 
Published: March 2020

AbstractBackgroundIntramuscular fat (IMF) content is an important factor in porcine meat quality. Previously, we showed that miR-34a was less abundant in liver tissue from pigs with higher backfat thickness, compared to pigs with lower backfat thickness. The purpose of this present study was to explore the role of miR-34a in adipogenesis.ResultBioinformatics analysis identified Acyl-CoA synthetase long chain family member 4 (ACSL4) as a putative target of miR-34a. Using a luciferase reporter assay, we verified that miR-34a binds theACSL4mRNA at the 3’UTR. To examine the role of the miR-34a-ACSL4interaction in IMF deposition in the pig, mRNA and protein expression of theACSL4gene was measured in primary intramuscular preadipocytes transfected with miR-34a mimic and inhibitor. Our results showed thatACSL4is expressed throughout the entire differentiation process in pig preadipocytes, similar to the lipogenesis-associated genesPPARγandaP2.Transfection with miR-34a mimic reduced lipid droplet formation during adipogenesis, while miR-34a inhibitor increased lipid droplet accumulation. Transfection with miR-34a mimic also reduced the mRNA and protein expression ofACSL4and lipogenesis genes, includingPPARγ, aP2,andSREBP-1C, but increased the expression of steatolysis genes such asATGLandSirt1. In contrast, the miR-34a inhibitor had the opposite effect on gene expression. Further, knockdown ofACSL4decreased lipid droplet accumulation.ConclusionsOur results support the hypothesis that miR-34a regulates intramuscular fat deposition in porcine adipocytes by targetingACSL4.
Multiple association analysis of loci and candidate genes that regulate body size at three growth stages in Simmental beef cattle
Authors: An Bingxing , Xu Lei , Xia Jiangwei , Wang Xiaoqiao , Miao Jian , Chang Tianpeng , Song Meihua , Ni Junqing , Xu Lingyang , Zhang Lupei , Li Junya , Gao Huijiang 
Published: March 2020

AbstractBackgroundBody size traits as one of the main breeding selection criteria was widely used to monitor cattle growth and to evaluate the selection response. In this study, body size was defined as body height (BH), body length (BL), hip height (HH), heart size (HS), abdominal size (AS), and cannon bone size (CS). We performed genome-wide association studies (GWAS) of these traits over the course of three growth stages (6, 12 and 18 months after birth) using three statistical models, single-trait GWAS, multi-trait GWAS and LONG-GWAS. The Illumina Bovine HD 770 K BeadChip was used to identify genomic single nucleotide polymorphisms (SNPs) in 1217 individuals.ResultsIn total, 19, 29, and 10 significant SNPs were identified by the three models, respectively. Among these, 21 genes were promising candidate genes, includingSOX2, SNRPD1, RASGEF1B, EFNA5, PTBP1, SNX9, SV2C, PKDCC, SYNDIG1, AKR1E2,andPRIM2identified by single-trait analysis;SLC37A1, LAP3, PCDH7, MANEA,andLHCGRidentified by multi-trait analysis; andP2RY1, MPZL1, LINGO2, CMIP,andWSCD1identified by LONG-GWAS.ConclusionsMultiple association analysis was performed for six growth traits at each growth stage. These findings offer valuable insights for the further investigation of potential genetic mechanism of growth traits in Simmental beef cattle.
Genome-wide identification and expression analysis of WRKY transcription factors in pearl millet (Pennisetum glaucum) under dehydration and salinity stress
Authors: Chanwala Jeky , Satpati Suresh , Dixit Anshuman , Parida Ajay , Giri Mrunmay Kumar , Dey Nrisingha 
Published: March 2020

Abstract
Background
Plants have developed various sophisticated mechanisms to cope up with climate extremes and different stress conditions, especially by involving specific transcription factors (TFs). The members of the WRKY TF family are well known for their role in plant development, phytohormone signaling and developing resistance against biotic or abiotic stresses. In this study, we performed a genome-wide screening to identify and analyze the WRKY TFs in pearl millet (Pennisetum glaucum; PgWRKY), which is one of the most widely grown cereal crops in the semi-arid regions.

Results
A total number of 97 putative PgWRKY proteins were identified and classified into three major Groups (I-III) based on the presence of WRKY DNA binding domain and zinc-finger motif structures. Members of Group II have been further subdivided into five subgroups (IIa-IIe) based on the phylogenetic analysis. In-silico analysis of PgWRKYs revealed the presence of various cis-regulatory elements in their promoter region like ABRE, DRE, ERE, EIRE, Dof, AUXRR, G-box, etc., suggesting their probable involvement in growth, development and stress responses of pearl millet. Chromosomal mapping evidenced uneven distribution of identified 97 PgWRKY genes across all the seven chromosomes of pearl millet. Synteny analysis of PgWRKYs established their orthologous and paralogous relationship among the WRKY gene family of Arabidopsis thaliana, Oryza sativa and Setaria italica. Gene ontology (GO) annotation functionally categorized these PgWRKYs under cellular components, molecular functions and biological processes. Further, the differential expression pattern of PgWRKYs was noticed in different tissues (leaf, stem, root) and under both drought and salt stress conditions. The expression pattern of PgWRKY33, PgWRKY62 and PgWRKY65 indicates their probable involvement in both dehydration and salinity stress responses in pearl millet.

Conclusion
Functional characterization of identified PgWRKYs can be useful in delineating their role behind the natural stress tolerance of pearl millet against harsh environmental conditions. Further, these PgWRKYs can be employed in genome editing for millet crop improvement.