bluuebunny/crossref_metadata_2025_split huggingface dataset:
Successful Emergency Rescue Open Embolectomy for Failed Endovascular Thrombectomy in Acute Ischemic Stroke: 2-Dimensional Operative Video
Authors: Chan David Yuen Chung , Tsang Anderson Chun On , Tsang Frederick Chun Pong , Li Lai Fung , Ho Wai Shing , Lui Wai Man , Leung Gilberto Ka Kit 
Published: June 2019

Abstract
This operative video demonstrates an open surgical thrombectomy for a 61-yr-old woman with failed endovascular embolectomy in acute ischemic stroke. Good functional outcome can be achieved when this operation is timely performed within the therapeutic window. This patient has atrial fibrillation. She was admitted for sudden onset of left-sided hemiplegia and aphasia. National Institutes of Health Stroke Scale (NIHSS) was 20/42 before the operation. Computed tomography (CT) cerebral angiogram showed right internal cerebral artery (ICA) occlusion from the cervical portion. Urgent intra-arterial (IA) thrombectomy was started 2 h after symptom onset, but failed despite the use of a stentriver and a large-bore aspiration catheter together. Emergency rescue open thrombectomy was performed with right pterional craniotomy 6 h after symptom onset. Sylvian fissure was dissected to expose the supraclinoid ICA, ICA bifurcation, A1, and M1. A transverse arteriotomy was made at the ICA bifurcation and open surgical thrombectomy was performed. Reperfusion was established in 86 min after skin incision. Intraoperative indocyanine green video-angiography showed patent flow over ICA bifurcation to M1 and A1. She had a good recovery with the return of the left-sided power and was discharged home. At 2-mo postoperative assessment, she was able to walk unaided independently. The modified Barthel Index (BI) was 74/100. Her activity of daily living was independent. We must emphasize IA thrombectomy is the standard treatment, and the role of open surgery remains a potential rescue procedure. Good functional outcome can be achieved when emergency rescue open thrombectomy is performed within the therapeutic window.
Understanding the Experience of Functional Abdominal Pain Through Written Narratives by Families
Authors: Nieto Rubén , Sora Beatriz , Boixadós Mercè , Ruiz Gemma 
Published: June 2019

Abstract

Objective
Although functional abdominal pain (FAP) is one of the most common pain problems in children, there is a lack of qualitative studies on this topic. Our aim was to increase knowledge in this field by testing an innovative written narrative methodology designed to approach the experiences of children with FAP and their parents.

Methods
We analyzed the FAP experiences of 39 families who completed a written narrative task (children and parents separately). Some of the families (N = 20) had previously completed an online psychosocial intervention, whereas others had not, because a complementary objective was to explore possible differences between parent and child narratives, and between those who had and had not completed the intervention.

Results
Families wrote about abdominal pain (characteristics, triggers, pain consequences, and coping strategies), their well-being, the diagnostic process, future expectations, and the positive effects of an online psychosocial intervention. Children tended to mention pain characteristics more, whereas parents tended to write more about triggers and the diagnostic process.

Conclusions
A written narrative methodology was found to be a useful approach for understanding families’ experiences. Results confirmed that FAP affects families at the emotional, behavioral, and social levels and that an online psychosocial intervention can help families.
The Limits of Lending? Banks and Technology Adoption across Russia
Authors: Bircan Çağatay , De Haas Ralph 
Published: June 2019

AbstractWe exploit historically determined variation in local credit markets to identify the impact of bank lending on innovation across Russian firms. We find that deeper credit markets increase firms’ use of bank credit, their adoption of new products and technologies, and their productivity growth. This relationship is more pronounced in industries farther from the technological frontier, more exposed to import competition, and that export more. These impacts are also stronger for firms near historical R&D centers or railways and in regions with supportive institutions. Consistent with these results, credit markets contribute to economic growth in such regions.Authors have furnished a data set, which is available on the Oxford University Press Web site next to the link to the final published paper online.
Over-the-Counter versus Limit-Order Markets: The Role of Traders’ Expertise
Authors: Glode Vincent , Opp Christian C 
Published: June 2019

Abstract
Over-the-counter (OTC) markets attract substantial trading volume despite exhibiting frictions absent in centralized limit-order markets. We compare the efficiency of OTC and limit-order markets when traders’ expertise is endogenous. We show that asymmetric access to counterparties in OTC markets yields increased rents from expertise acquisition for a few well-connected core traders. When the existence of gains to trade is uncertain, traders’ higher expertise in OTC markets can improve allocative efficiency. In contrast, when expertise primarily causes adverse selection, competitive limit-order markets tend to dominate. Our model provides guidance for policy makers and empiricists evaluating the efficiency of market structures.
Inhibitory cell populations depend on age, sex, and prior experience across a neural network for Critical Period learning
Authors: Gogola Joseph V , Gores Elisa O , London Sarah E 
Published: June 2019

AbstractIn many ways, the complement of cell subtypes determines the information processing that a local brain circuit can perform. For example, the balance of excitatory and inhibitory (E/I) signaling within a brain region contributes to response magnitude and specificity in ways that influence the effectiveness of information processing. An extreme example of response changes to sensory information occur across Critical Periods (CPs). In primary mammalian visual cortex, GAD65 and parvalbumin inhibitory cell types in particular control experience-dependent responses during a CP. Here, we test how the density of GAD65- and parvalbumin-expressing cells may inform on a CP for complex behavioral learning. Juvenile male zebra finch songbirds (females cannot sing) learn to sing through coordinated sensory, sensorimotor, and motor learning processes distributed throughout a well-defined neural network. There is a CP is for sensory learning, the stage during which a young male forms a memory of his “tutor’s” song, which is then used to guide the young bird’s emerging song structure. We quantified the effect of sex and experience with a tutor on the cell densities of GAD65- and parvalbumin-expressing cells across major nodes of the song network, using ages that span the CP for tutor song memorization. As a resource, we also include whole-brain mapping data for both genes. Results indicate that inhibitory cell populations differ across sex, age, and experiential conditions, but not always in the ways we predicted.
Down regulation ofHmgcrin response to Influenza A infection is independent of the IFN response in human cells
Authors: Lu Hongjin , Talbot Simon 
Published: June 2019

AbstractPrevious studies have demonstrated that the product of the Interferon stimulated geneCh25h, 25-Hydroxycholestrol, provides an immediate and rapid mechanism for down-regulating sterol biosynthesis, through the inhibition ofHmgcrgene expression and proteolytic degradation of HMGCR protein. Further studies provide evidence that inhibition of the sterol biosynthesis pathway by 25-HC has broad antiviral effects. In this study, Influenza A virus (IAV) replication was inhibited in cells treated with Fluvastatin or whereHmgcrexpression was inhibited with an siRNA. Treatment of A549 cells with 25-HC however, resulted in a 2-fold enhancement of IAV replication despite the fact that 25-HC promotes the proteolytic degradation of HMGCR. A549 cells infected with IAV revealed a rapid loss of HMGCR protein, a reduction inHmgcrgene expression as well as an increase in the expression ofCh25h, that were all independent of the IFN pathway. Infection of both wild-type andCh25h−/−murine BMDMs with IAV also revealed a rapid loss of HMGCR abundance indicating that 25-HC independent mechanisms exist for promoting proteolytic degradation of HMGCR. These data for the human A549 cell line contrast with the induction ofCh25hand subsequent loss of HMGCR in murine cells that has been shown to be dependent on IFN signalling.ImportanceCholesterol, a lipid, is mainly produced by the liver or obtained from everyday foods. It is an essential element of the structure of cells and is vital for maintaining the normal function of human body. In cells, cholesterol can be oxidised to oxysterols by biological catalysts, known as enzymes. Certain oxysterols have recently emerged as important elements in the immune response to micro-organisms. This project studied a key enzyme, which is a component of the cholesterol metabolism, known as 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR). A set of experiments were designed and performed to study the behaviour of HMGCR following viral infections. This study lays the foundation for re-building a map of cholesterol metabolism and the immune response to viral infection. It will be useful for understanding the importance of cholesterol metabolism in infection and exploring novel antiviral strategies.
Targeting glutamine metabolism enhances tumor specific immunity by inhibiting the generation of MDSCs and reprogramming tumor associated macrophages
Authors: Oh Min-Hee , Sun Im-Hong , Zhao Liang , Leone Robert , Sun Im-Meng , Xu Wei , Collins Samuel L. , Tam Ada J. , Blosser Richard L. , Patel Chirag H. , Englert Judson , Arwood Matthew L. , Wen Jiayu , Chan-Li Yee , Majer Pavel , Rais Rana , Slusher Barbara S. , Horton Maureen R. , Powell Jonathan D. 
Published: June 2019

SummaryMyeloid cells comprise a major component of the Tumor Microenvironment (TME) promoting tumor growth and immune evasion. By employing a novel small molecule inhibitor of glutamine metabolism not only were we able to inhibit tumor growth but we markedly inhibited the generation and recruitment of Myeloid Derived Suppressor Cells (MDSC). Targeting tumor glutamine metabolism led to a decrease in CSF-3 and hence recruitment of MDSC as well immunogenic cell death leading to an increase in inflammatory Tumor Associated Macrophages (TAMs). Alternatively, inhibiting glutamine metabolism of the MDSC themselves led to activation induced cell death and conversion of MDSC to inflammatory macrophages. Surprisingly, blocking glutamine metabolism also inhibited IDO expression of both the tumor and myeloid derived cells leading to a marked decrease in kynurenine levels. This in turn inhibited the development of metastasis and further enhanced anti-tumor immunity. Indeed, targeting glutamine metabolism rendered checkpoint blockade-resistant tumors susceptible to immunotherapy. Overall, our studies define an intimate interplay between the unique metabolism of tumors and the metabolism of suppressive immune cells.
DTI-CDF: a CDF model towards the prediction of DTIs based on hybrid features
Authors: Chu Yan-Yi , Zhang Yu-Fang , Wang Wei , Wang Xian-Geng , Shan Xiao-Qi , Xiong Yi , Wei Dong-Qing 
Published: June 2019

AbstractDrug-target interactions play a crucial role in target-based drug discovery and exploitation. Computational prediction of DTIs has become a popular alternative strategy to the experimental methods for identification of DTIs of which are both time and resource consuming. However, the performances of the current DTIs prediction approaches suffer from a problem of low precision and high false positive rate. In this study, we aimed to develop a novel DTIs prediction method, named DTI-CDF, for improving the prediction precision based on a cascade deep forest model which integrates hybrid features, including multiple similarity-based features extracted from the heterogeneous graph, fingerprints of drugs, and evolution information of target protein sequences. In the experiments, we built five replicates of 10 fold cross-validations under three different experimental settings of data sets, namely, corresponding DTIs values of certain drugs (SD), targets (ST), or drug-target pairs (SP) in the training set are missed, but existed in the test set. The experimental results show that our proposed approach DTI-CDF achieved significantly higher performance than the state-of-the-art methods.
The neonatal microenvironment programs conventional and intestinal Tbet+γδT17 cells through the transcription factor STAT5
Authors: Kadekar Darshana , Agerholm Rasmus , Rizk John , Neubauer Heidi , Suske Tobias , Maurer Barbara , Viñals Monica Torrellas , Comelli Elena , Taibi Amel , Moriggl Richard , Bekiaris Vasileios 
Published: June 2019

SummaryInterleukin(IL)-17-producing RORγt+γδ T (γδT17) cells develop in the embryonic thymus and participate in type 3 immune responses. Herein we show that γδT17 cells rapidly proliferate within neonatal lymph nodes and gut, where upon entry they uniquely upregulate Tbet and co-express IL-17, IL-22 and interferon(IFN) γ in a STAT3 and retinoic acid dependent manner. Neonatal expansion was halted in mice conditionally deficient in STAT5 and its loss resulted in γδT17 cell depletion from all adult organs. Hyperactive STAT5 mutant mice showed that the STAT5A homologue had a dominant role over STAT5B in promoting γδT17 cell expansion and downregulating gut-associated Tbet. In contrast, STAT5B preferentially expanded IFNγ-producing γδ populations. Importantly, mice lacking γδT17 cells due to STAT5 deficiency displayed a profound resistance to experimental autoimmune encephalomyelitis. Our data identify for the first time STAT5 as a key molecular checkpoint allowing γδT17 cells to pass through a critical neonatal developmental window to acquire tissue-specific characteristics essential for infection and autoimmunity.
Little Evidence for Associations Between the Big Five Personality Traits and Variability in Brain Gray or White Matter
Authors: Avinun Reut , Israel Salomon , Knodt Annchen R. , Hariri Ahmad R. 
Published: June 2019

AbstractAttempts to link the Big Five personality traits of Openness-to-Experience, Conscientiousness, Extraversion, Agreeableness, and Neuroticism with variability in trait-like features of brain structure have produced inconsistent results. Small sample sizes and heterogeneous methodology have been suspected in driving these inconsistencies. Here, we tested for associations between the Big Five personality traits and multiple measures of brain structure using data from 1,107 university students (636 women, mean age 19.69±1.24 years) representing the largest attempt to date. In addition to replication analyses based on a prior study, we conducted exploratory whole-brain analyses. Four supplementary analyses were also conducted to examine 1) possible associations with lower-order facets of personality; 2) modulatory effects of sex; 3) effect of controlling for non-target personality traits; and 4) parcellation scheme effects. The analyses failed to identify any significant associations between the Big Five personality traits and variability in measures of cortical thickness, surface area, subcortical volume, or white matter microstructural integrity, except for an association between greater surface area of the superior temporal gyrus and lower scores on conscientiousness that explained 0.44% of the morphometric measure’s variance. Notably however, the latter association is largely not supported by previous studies. The supplementary analyses mirrored these largely null findings, suggesting they were not substantively biased by our choice of analytic model. Collectively, these results indicate that if there are direct associations between the Big Five personality traits and variability in brain structure, they are of likely very small effect sizes and will require very large samples for reliable detection.
MALT1 mediates IL-17 Neural Signaling to regulate C. elegansbehavior, immunity and longevity
Authors: Flynn Sean M. , Chen Changchun , Artan Murat , Barratt Stephen , Crisp Alastair , Nelson Geoffrey M. , Peak-Chew Sew-Yeu , Begum Farida , Skehel Mark , de Bono Mario 
Published: June 2019

AbstractBesides well-known immune roles, the evolutionarily ancient cytokine interleukin-17 (IL-17) modulates neural circuit function. We investigate how IL-17 signals in neurons, and the extent to which this signaling can alter organismal phenotypes. We combine immunoprecipitation and mass spectrometry to biochemically characterize endogenous signaling complexes that function downstream of IL-17 receptors inC. elegans(Ce) neurons. We identify theCeortholog of MALT1 as a critical output of the pathway. MALT1 was not previously implicated in IL-17 signaling or in nervous system function. MALT1 forms a complex with homologs of Act1 and IRAK and functions both as a scaffold for IκB recruitment, and as a protease. MALT1 is expressed broadly in theCenervous system, and neuronal IL-17–MALT1 signaling regulates many phenotypes, including escape behavior, associative learning, immunity and longevity. Our data suggest MALT1 has an ancient role modulating neural function downstream of IL-17 to remodel physiological and behavioral state.
Pilot Study of Metabolomic Clusters as State Markers of Major Depression and Outcomes to CBT Treatment
Authors: Bhattacharyya Sudeepa , Dunlop Boadie W. , Mahmoudiandehkordi Siamak , Ahmed Ahmed T. , Louie Gregory , Frye Mark A. , Weinshilboum Richard M. , Krishnan Ranga R , Rush A John , Mayberg Helen S. , Craighead W. Edward , Kaddurah-Daouk Rima 
Published: June 2019

AbstractMajor depressive disorder (MDD) is a common and disabling syndrome with multiple etiologies that is defined by clinically elicited signs and symptoms. In hopes of developing a list of candidate biological measures that reflect and relate closely to the severity of depressive symptoms, so-called “state-dependent” biomarkers of depression, this pilot study explored the biochemical underpinnings of treatment response to cognitive behavior therapy (CBT) in medication-freeMDD outpatients. Plasma samples were collected at baseline and week 12 from a subset of MDD patients (N=26) who completed a course of CBT treatment as part of the Predictors of Remission in Depression to Individual and Combined Treatments (PReDICT) study. Targeted metabolomic profiling using the the AbsoluteIDQ® p180 Kit and LC-MS identified eight “co-expressed” metabolomic modules. Of these eight, three were significantly associated with change in depressive symptoms over the course of the 12-weeks. Metabolites found to be most strongly correlated with change in depressive symptoms were branched chain amino acids, acylcarnitines, methionine sulfoxide, and α-aminoadipic acid (negative correlations with symptom change) as well as several lipids, particularly the phosphatidlylcholines (positive correlation). These results implicate disturbed bioenergetics as an important state marker in the pathobiology of MDD. Exploratory analyses contrasting remitters to CBT versus those who failed the treatment further suggest these metabolites may serve as mediators of recovery during CBT treatment. Larger studies examining metabolomic change patterns in patients treated with pharmacotherapy or psychotherapy will be necessary to elucidate the biological underpinnings of MDD and the -specific biologies of treatment response.
Evaluating the contribution of cell-type specific alternative splicing to variation in lipid levels
Authors: Gawronski K.A.B. , Bone W. , Park Y. , Pashos E. , Wang X. , Yang W. , Rader D. , Musunuru K. , Voight B. , Brown C. 
Published: June 2019

AbstractBackgroundGenome-wide association studies have identified 150+ loci associated with lipid levels. However, the genetic mechanisms underlying most of these loci are not well-understood. Recent work indicates that changes in the abundance of alternatively spliced transcripts contributes to complex trait variation. Consequently, identifying genetic loci that associate with alternative splicing in disease-relevant cell types and determining the degree to which these loci are informative for lipid biology is of broad interest.Methods and ResultsWe analyze gene splicing in 83 sample-matched induced pluripotent stem cell (iPSC) and hepatocyte-like cell (HLC) lines (n=166), as well as in an independent collection of primary liver tissues (n=96). We observe that transcript splicing is highly cell-type specific, and the genes that are differentially spliced between iPSCs and HLCs are enriched for metabolism pathway annotations. We identify 1,381 HLC splicing quantitative trait loci (sQTLs) and 1,462 iPSC sQTLs and find that sQTLs are often shared across cell types. To evaluate the contribution of sQTLs to variation in lipid levels, we conduct colocalization analysis using lipid genome-wide association data. We identify 19 lipid-associated loci that colocalize either with an HLC expression quantitative trait locus (eQTL) or sQTL. Only one locus colocalizes with both an sQTL and eQTL, indicating that sQTLs contribute information about GWAS loci that cannot be obtained by analysis of steady-state gene expression alone.ConclusionsThese results provide an important foundation for future efforts that use iPSC and iPSC-derived cells to evaluate genetic mechanisms influencing both cardiovascular disease risk and complex traits in general.
A combinatorial biomolecular strategy to identify peptides for improved transport across the sputum of cystic fibrosis patients and the underlying epithelia
Authors: Leal Jasmim , Liu Xinquan , Peng Xiujuan , Mohanty Rashmi P. , Arasappan Dhivya , Wylie Dennis , Schwartz Sarah H. , Fullmer Jason J. , McWilliams Bennie C. , Smyth Hugh D. C. , Ghosh Debadyuti 
Published: June 2019

AbstractDrugs and drug delivery systems have to traverse multiple biological barriers to achieve therapeutic efficacy. In diseases of mucosal-associated tissues such as cystic fibrosis (CF), successful delivery of gene and drug therapies remains a significant challenge due to an abnormally concentrated viscoelastic mucus, which prevents ~99% of all drugs and particles from penetrating the mucus barrier and the underlying epithelia for effective therapy, resulting in decreased survival. We used combinatorial peptide-presenting phage libraries and next-generation sequencing to identify hydrophilic, close to net-neutral charged peptides that penetrate the mucus barrier ex vivo in sputum from CF patients with ~600-fold better penetration than a positively charged control. After mucus penetration, nanoparticles conjugated with our selected peptides successfully translocated into lung epithelial cells derived from CF patients and demonstrated up to three-fold improved cell uptake compared to non-modified carboxylated- and gold standard PEGylated-nanoparticles. The selected peptides act as surface chemistries with synergistic functions to significantly improve the ability of drug delivery systems to overcome the human mucosal barriers and provide efficient cellular internalization. Our screening strategy provides a biologically-based discovery assay that directly addresses transport through mucus and cell barriers and has the potential to advance drug and gene delivery to multiple mucosal barriers.