bluuebunny/crossref_metadata_2025_split huggingface dataset:
Etiology of language network changes during recovery of aphasia after stroke
Authors: van Oers Casper A. M. M. , van der Worp H. Bart , Kappelle L. Jaap , Raemaekers Mathijs A. H. , Otte Willem M. , Dijkhuizen Rick M. 
Published: January 2018

AbstractKnowledge of spatiotemporal patterns of language network changes may help in predicting outcome in aphasic stroke patients. Here we assessed language function and performed functional MRI four times during one year to measure language network activation and cerebrovascular reactivity (with breath-holding) in twelve left-hemispheric stroke patients, of whom two dropped out before the final measurement, and eight age-matched controls. Language outcome was related to increase of activation in left and right posterior inferior temporal gyrus over the first year, while activation increase in right inferior frontal gyrus was inversely correlated to language recovery. Outcome prediction improved by addition of early language-induced activation of the left posterior inferior temporal gyrus to a regression model with baseline language performance as first predictor. Variations in language-induced activation in right inferior frontal gyrus were primarily related to differences in vascular reactivity. Furthermore, several language-activation changes could not be linked to alterations in language proficiency nor vascular reactivity, and were assumed to be caused by unspecified intersession variability. In conclusion, early functional neuroimaging improves outcome prediction of aphasia after stroke. Controlling for cerebrovascular reactivity and unspecified intersession variability may result in more accurate assessment of the relationship between activation pattern shifts and function after stroke.
Exosome-mediated breast cancer chemoresistance via miR-155 transfer
Authors: Santos Juliana Carvalho , Lima Natália da Silva , Sarian Luis Otavio , Matheu Ander , Ribeiro Marcelo Lima , Derchain Sophie Françoise Mauricette 
Published: January 2018

AbstractBreast cancer remains the most prevalent cause of cancer mortality in woman worldwide due to the metastatic process and therapy resistance. Resistance against cancer therapy is partially attributed to cancer stem cells (CSCs). These cells arise from epithelial cells undergoing epithelial-to-mesenchymal transition (EMT) and might be responsible for tumor recurrence. In this study, we reported the relevance of miR-155 upregulation in chemoresistant cells associated with EMT. Notably, we found miR-155 induction in exosomes isolated from CSCs and resistant cells, followed by resistant cells’ exosome transfer to the recipient sensitive cells. Functionally, miR-155 mimic assay showed an enrichment in miR-155 from exosome concomitant with miR-155 exosome transfer to breast cancer cells. In parallel to these effects, we also observed EMT change in miR-155 transfected cells. The chemoresistance phenotype transfer to sensitive cells and the migration capability was analyzed by MTT and scratch assays and our results suggest that exosomes may intermediate resistance and migration capacity to sensitive cells partly through exosome transfer of miR-155. Taken together, our findings establish the significance of exosome-mediate miR-155 chemoresistance in breast cancer cells, with implications for targeting miR-155 signaling as a possible therapeutic strategy.
Draxin regulates hippocampal neurogenesis in the postnatal dentate gyrus by inhibiting DCC-induced apoptosis
Authors: Tawarayama Hiroshi , Yamada Hirohisa , Amin Ruhul , Morita-Fujimura Yuiko , Cooper Helen M. , Shinmyo Yohei , Kawata Masakado , Ikawa Shuntaro , Tanaka Hideaki 
Published: January 2018

AbstractHippocampal neurogenesis in the dentate gyrus (DG) is controlled by diffusible molecules that modulate neurogenic processes, including cell proliferation, differentiation and survival. To elucidate the mechanisms underlying hippocampal neurogenesis, we investigated the function of draxin, originally identified as a neural chemorepellent, in the regulation of neuronal survival in the DG. Draxin was expressed in Tbr2 (+) late progenitors and NeuroD1 (+) neuroblasts in the dentate granule cell lineage, whereas expression of its receptor DCC (deleted in colorectal cancer) was mainly detectable in neuroblasts. Our phenotypic analysis revealed that draxin deficiency led to enhanced apoptosis of DCC-expressing neuroblasts in the neurogenic areas. Furthermore, in vitro assays using a hippocampal neural stem/progenitor cell (HNSPC) line indicated that draxin inhibited apoptosis in differentiating HNSPCs, which express DCC. Taken together, we postulate that draxin plays a pivotal role in postnatal DG neurogenesis as a dependence receptor ligand for DCC to maintain and promote survival of neuroblasts.
Melatonin increases chilling tolerance in postharvest peach fruit by alleviating oxidative damage
Authors: Cao Shifeng , Shao Jiarong , Shi Liyu , Xu Liwei , Shen Ziming , Chen Wei , Yang Zhenfeng 
Published: January 2018

AbstractMelatonin has been reported to alleviate chilling symptoms in postharvest peach fruit during cold storage, however, the mechanism involved is largely unknown. To better understand its role in chilling tolerance, here we investigated the effects of melatonin on oxidative damage in peach fruit subjected to chilling after harvest. Chilling injury of peaches was dramatically reduced by melatonin treatment. Melatonin induced hydrogen peroxide (H2O2) content at the early stage of storage but inhibited its accumulation thereafter. Meanwhile, melatonin also up-regulated the expression of genes involved in antioxidant responses in peaches. In addition, compared to the control fruit, peaches treated with melatonin displayed higher transcript abundance of ascorbic acid (AsA) biosynthetic genes and consequently increased the AsA content. Our results suggested that in response to melatonin during chilling, the high H2O2 level in the treated peaches at the initial time of storage, may work as a signaling molecule to induce protective mechanisms via up-regulating the expression of antioxidative genes and increasing AsA content. On the other hand, after the transient increase in the treated peaches, H2O2 was efficiently removed because of the activated antioxidant systems, which was associated with the higher chilling tolerance induced by melatonin.
Histone Variant MacroH2A1 Plays an Isoform-Specific Role in Suppressing Epithelial-Mesenchymal Transition
Authors: Hodge Dayle Q. , Cui Jihong , Gamble Matthew J. , Guo Wenjun 
Published: January 2018

AbstractEpithelial-Mesenchymal Transition (EMT) is a biological program that plays key roles in various developmental and pathological processes. Although much work has been done on signaling pathways and transcription factors regulating EMT, the epigenetic regulation of EMT remains not well understood. Histone variants have been recognized as a key group of epigenetic regulators. Among them, macroH2A1 is involved in stem cell reprogramming and cancer progression. We postulated that macroH2A1 may play a role in EMT, a process involving reprogramming of cellular states. In this study, we demonstrate that expression of macroH2A1 is dramatically reduced during EMT induction in immortalized human mammary epithelial cells (HMLE). Moreover, ectopic expression of the macroH2A1.1 isoform, but not macroH2A1.2, can suppress EMT induction and reduce the stem-like cell population in HMLE. Interestingly, macroH2A1.1 overexpression cannot revert stable mesenchymal cells back to the epithelial state, suggesting a stage-specific role of macroH2A1.1 in EMT. We further pinpointed that the function of macroH2A1.1 in EMT suppression is dependent on its ability to bind the NAD+ metabolite PAR, in agreement with the inability to suppress EMT by macroH2A1.2, which lacks the PAR binding domain. Thus, our work discovered a previously unrecognized isoform-specific function of macroH2A1 in regulating EMT induction.
Adjustably transconductance enhanced bulk‐driven OTA with the CMOS technologies scaling
Authors: Wang Yongqing , Zhao Xiao , Zhang Qisheng , Lv Xiaolong 
Published: January 2018

An adjustably transconductance enhanced bulk‐driven operational transconductance amplifier (OTA) working at weak inversion region is presented. Based on the traditional positive feedback source degeneration technique, a proposed current‐shunt auxiliary amplifier is employed here to modulate the gate of input differential pairs, achieving a further improvement of the effective transconductance with the CMOS technologies scaling. In addition, an adjustable transconductance enhancement factor is obtained, leading to an enhanced stability performance. Both conventional and proposed bulk‐driven OTAs are designed and simulated on CSMC 180 nm process. The simulated results demonstrate that the unity gain‐bandwidth of the proposed bulk‐driven OTA is improved by 120% compared to that of the conventional counterpart with a little neglected increased power consumption.
Hybrid modular converter for DC microgrids
Authors: Revathi B.Sri , Mahalingam Prabhakar 
Published: January 2018

A novel non‐isolated high step‐up high‐power DC–DC converter based on coupled inductor (CI) and voltage multiplier cell (VMC) for renewable energy DC microgrids is presented in this study. A hybrid combination of three‐phase interleaved boost converter with three CIs is chosen to reduce the current ripple at the input and meet the high‐power requirement. Three VMCs connected at the secondary side of the CIs serve as gain extension cells. The voltage stress experienced by the switches is only a fraction of the output voltage as the gain extension is mainly achieved at the secondary side of CIs. Practical results obtained from the proposed converter which operated from a 60 V input and provided an output voltage of 1.1 kV while delivering 3 kW of output power prove the correctness of the design details and validate the proposed concept.
Effect of Maternal Body Mass Index and Amniotic Fluid Index on the Accuracy of Sonographic Estimation of Fetal Weight in Late Gestation
Authors: Rochelson Burton , Stork Leah , Augustine Stephanie , Greenberg Meir , Sison Cristina , Vohra Nidhi , Blitz Matthew 
Published: January 2018

Objective The objective of this study was to determine the effect, if any, of maternal body mass index (BMI) and amniotic fluid index (AFI) on the accuracy of sonographic estimated fetal weight (EFW) at 40 to 42 weeks' gestation.
Methods This was a retrospective cohort study of singleton gestations with ultrasound performed at 40 to 42 weeks from 2010 to 2013. In this study, patients with documented BMI and sonographic EFW and AFI, concurrently, within 7 days of delivery were included. Chronic medical conditions and fetal anomalies were excluded from this study. The primary variable of interest was the rate of substantial error in EFW, defined as absolute percentage error (APE) >10%.
Results A total of 1,000 pregnancies were included. Overall, the APE was 6.0 ± 4.5% and the rate of substantial error was 17.4% (n = 174). There was no significant difference in APE or rate of substantial error between BMI groups. In the final multivariable logistic regression model, the rate of substantial error was increased in women with oligohydramnios (OR 1.79; 95% CI: 1.10–2.92). Furthermore, oligohydramnios was significantly more likely to overestimate EFW while polyhydramnios was more likely to underestimate EFW. Maternal BMI did not affect the accuracy of sonographic EFW.
Conclusion Sonographic EFW may be affected by extremes of AFI in the postdates period. Maternal BMI does not affect EFW accuracy at 40 to 42 weeks.
Receptor for advanced glycation end products (RAGE)-mediated cytotoxicity of 3-hydroxypyridinium derivatives
Authors: Murakami Yoto , Fujino Takayuki , Hasegawa Toshiki , Kurachi Ryotaro , Miura Aya , Daikoh Takumi , Usui Teruyuki , Hayase Fumitaka , Watanabe Hirohito 
Published: January 2018

Abstract
Advanced glycation end products (AGEs) formed from glyceraldehyde (Gcer) and glycolaldehyde (Gcol) are involved in the pathogenesis of diabetic complications, via interactions with a receptor for AGEs (RAGE). In this study, we aimed to elucidate the RAGE-binding structure in Gcer and Gcol-derived AGEs and identify the minimal moiety recognized by RAGE. Among Gcer and Gcol-derived AGEs, GLAP (glyceraldehyde-derived pyridinium) and GA-pyridine elicited toxicity in PC12 neuronal cells. The toxic effects of GLAP and GA-pyridine were suppressed in the presence of anti-RAGE antibody or the soluble form of RAGE protein. Furthermore, the cytotoxicity test using GLAP analog compounds indicated that the 3-hydroxypyridinium (3-HP) structure is sufficient for RAGE-dependent toxicity. Surface plasmon resonance analysis showed that 3-HP derivatives directly interact with RAGE. These results indicate that GLAP and GA-pyridine are RAGE-binding epitopes, and that 3-HP, a common moiety of GLAP and GA-pyridine, is essential for the interaction with RAGE.
Just us
Authors: Turner R. Eugene 
Published: January 2018

ABSTRACT

Introduction:
A thorough understanding of ecology is a necessity as the Earth becomes crowded, there is more intense resource use and exhaustion, and the exposure to pollutants has diversified.

Outcomes:
Everyone must be involved as we develop the moral compass and maps for a desirable world. The transition will be made within the context of complex social forces, which must be engaged in purposeful collaboration and action. All individuals have the embryonic need and possess diverse abilities to contribute to the transcendence of problems arising from the human response to social inequities.

Discussion:
These will be difficult and nuanced transitions. One example is the Balinese water distribution system, whose site-specific adjustments developed over thousands of years. Examples from country-to-country comparisons show that Eco-civilizations, to be ‘civil’, must be fair, inclusive, and joyful, and more than about misleading metrics like Gross Domestic Product, individuality, material accumulations and competition.

Conclusion:
We are in this together; it is not ‘them or us’ - it is only ‘Us’.
Chemical modulation of valance band in delafossite structured CuFeO2 thin film and its photoresponse
Authors: Bera Arun , Deb Krishna , Sinthika S , Thapa Ranjit , Saha Biswajit 
Published: January 2018

Abstract
Using simple spin coating process we report the development of delafossite structured CuFeO2 ceramic thin film on florine doped tin oxide (FTO) coated glass substrate and found improved electrical conductivity, through possible modulation of valance band with high photoresponse of these structures. The valance band of CuFeO2 predominantly comprising of localized Cu 3d and O 2p orbitals, has been chemically modulated through post annealing of the film in oxygen rich atmosphere in order to obtain delocalized holes as carriers. During post annealing of the film in the oxygen rich environment for substantially long time (8, 16 and 24 h) oxygen atoms are introduced in the crystal as interstitials, and thus brings a chemical modulation of valance band without any external doping. The crystal structure, optical band gap and p-type conductivity have been studied experimentally, and theoretical first-principle based density functional calculations estimate that the oxygen atoms create mid gap states and are responsible for the states in the conduction band. A fivefold increase in the electrical conductivity was observed upon 24 h of annealing. More interestingly an excellent photoresponse behavior of the CuFeO2 films in its J–V characteristics have been observed and reported in this article, which must appear very significant in exploring its prospect of application as a p type semiconductor in optoelectronic devices with appropriate energy band gap.
iPat: intelligent prediction and association tool for genomic research
Authors: Chen Chunpeng James , Zhang Zhiwu 
Published: January 2018

Abstract

Summary
The ultimate goal of genomic research is to effectively predict phenotypes from genotypes so that medical management can improve human health and molecular breeding can increase agricultural production. Genomic prediction or selection (GS) plays a complementary role to genome-wide association studies (GWAS), which is the primary method to identify genes underlying phenotypes. Unfortunately, most computing tools cannot perform data analyses for both GWAS and GS. Furthermore, the majority of these tools are executed through a command-line interface (CLI), which requires programming skills. Non-programmers struggle to use them efficiently because of the steep learning curves and zero tolerance for data formats and mistakes when inputting keywords and parameters. To address these problems, this study developed a software package, named the Intelligent Prediction and Association Tool (iPat), with a user-friendly graphical user interface. With iPat, GWAS or GS can be performed using a pointing device to simply drag and/or click on graphical elements to specify input data files, choose input parameters and select analytical models. Models available to users include those implemented in third party CLI packages such as GAPIT, PLINK, FarmCPU, BLINK, rrBLUP and BGLR. Users can choose any data format and conduct analyses with any of these packages. File conversions are automatically conducted for specified input data and selected packages. A GWAS-assisted genomic prediction method was implemented to perform genomic prediction using any GWAS method such as FarmCPU. iPat was written in Java for adaptation to multiple operating systems including Windows, Mac and Linux.

Availability and implementation
The iPat executable file, user manual, tutorials and example datasets are freely available at http://zzlab.net/iPat.
A rapid epistatic mixed-model association analysis by linear retransformations of genomic estimated values
Authors: Ning Chao , Wang Dan , Kang Huimin , Mrode Raphael , Zhou Lei , Xu Shizhong , Liu Jian-Feng 
Published: January 2018

Abstract

Motivation
Epistasis provides a feasible way for probing potential genetic mechanism of complex traits. However, time-consuming computation challenges successful detection of interaction in practice, especially when linear mixed model (LMM) is used to control type I error in the presence of population structure and cryptic relatedness.

Results
A rapid epistatic mixed-model association analysis (REMMA) method was developed to overcome computational limitation. This method first estimates individuals’ epistatic effects by an extended genomic best linear unbiased prediction (EG-BLUP) model with additive and epistatic kinship matrix, then pairwise interaction effects are obtained by linear retransformations of individuals’ epistatic effects. Simulation studies showed that REMMA could control type I error and increase statistical power in detecting epistatic QTNs in comparison with existing LMM-based FaST-LMM. We applied REMMA to two real datasets, a mouse dataset and the Wellcome Trust Case Control Consortium (WTCCC) data. Application to the mouse data further confirmed the performance of REMMA in controlling type I error. For the WTCCC data, we found most epistatic QTNs for type 1 diabetes (T1D) located in a major histocompatibility complex (MHC) region, from which a large interacting network with 12 hub genes (interacting with ten or more genes) was established.

Availability and implementation
Our REMMA method can be freely accessed at https://github.com/chaoning/REMMA.

Supplementary information
Supplementary data are available at Bioinformatics online.
Computational deconvolution of transcriptomics data from mixed cell populations
Authors: Avila Cobos Francisco , Vandesompele Jo , Mestdagh Pieter , De Preter Katleen 
Published: January 2018

Abstract

Summary
Gene expression analyses of bulk tissues often ignore cell type composition as an important confounding factor, resulting in a loss of signal from lowly abundant cell types. In this review, we highlight the importance and value of computational deconvolution methods to infer the abundance of different cell types and/or cell type-specific expression profiles in heterogeneous samples without performing physical cell sorting. We also explain the various deconvolution scenarios, the mathematical approaches used to solve them and the effect of data processing and different confounding factors on the accuracy of the deconvolution results.

Supplementary information
Supplementary data are available at Bioinformatics online.
‘Hidden’ occupational allergens such as additives
Authors: Quirce Santiago , Antolín-Amérigo Darío , Domínguez-Ortega Javier 
Published: January 2018

Purpose of review
With the development of innovative technologies, new agents are continually introduced to the workplace. Some of these agents can act as hidden allergens whenever they are not declared in the product labels or whenever their health hazards are unknown. This review article focuses on the identification and description of unusual and/or hidden allergens recently incriminated in occupational diseases.

Recent findings
Occupational exposure is an important global health issue that can induce respiratory and cutaneous disorders, as well as life-threatening anaphylaxis. Apart from the classic forms of occupational exposure, reports have emerged from nonconventional or newly identified allergens or additives. These compounds are substances added to another in order to alter or improve the general quality or to counteract undesirable properties, and some of them may behave as potent and frequently hidden allergens. These highly uncommon and/or hidden allergens belong to several categories: foods, spices, cosmetics, insects, enzymes, chemicals, drugs, preservatives, and coloring agents, among others.

Summary
A high level of suspicion and awareness about the potential hidden allergens is necessary to ascertain the allergens implicated. It is of utmost importance to identify the specific eliciting agents of the occupational diseases in order to avoid strictly further exposure to them.
Jet lavage in primary total knee arthroplasty: a comparative study
Authors: Abdeldayem Sherif Mostafa , Zakaria Zeiad M. , Metwaly Radwan G. , Eid Mohamed A. 
Published: January 2018

Background:
The aim of the study was to determine whether the incidence of radiolucent lines can be reduced and cement penetration enhanced by using jet lavage before cementing the tibial component in total knee arthroplasty (TKA).

Methods:
We prospectively studied a consecutive series of 86 cemented TKAs. In group A (n=44) jet lavage and in group B (n=42) conventional syringe lavage were used to clean the cancellous bone. A standardized cementing technique was applied in all patients. At a minimum follow-up of 1 yr, patients were evaluated clinically and radiographically. The cement bone interface under the tibial component baseplate was divided into four zones according to the Knee Society radiographic evaluation system and evaluated for the presence of radiolucent lines.

Results:
At latest follow up, all radiographs were evaluated (n=86), and radiolucent lines in different zones were recorded in 7.2 % in group A and in 26% in group B (P<0.05). Cement penetration showed a mean of 2.5±0.9 mm in group A and 1.7±0.8 mm in group B (P<0.001).

Conclusions:
Routine use of jet lavage in cemented TKA is recommended to reduce the incidence of radiolucent lines, enhance cement penetration, and improve the long-term durability of fixation.