bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mild Cognitive Impairment in Retired Professional Football Players With a History of Mild Traumatic Brain Injury: A Pilot Investigation
Authors: Didehbani Nyaz , Fields Lindy M. , Wilmoth Kristin , LoBue Christian , Hart John , Cullum C. Munro 
Published: September 2020

Background:
Traumatic brain injury (TBI) is a known risk factor for neurodegenerative dementias such as Alzheimer disease (AD); however, the potential risk of mild cases of TBI, such as concussions, remains unclear.

Objective:
To explore whether a small sample of retired professional athletes with a diagnosis of mild cognitive impairment (MCI)—the prodromal stage of AD—and a history of multiple mild TBIs exhibit greater neuropsychological impairment than age-matched nonathletes with MCI and no history of TBI.

Method:
Ten retired National Football League players diagnosed with MCI and reporting multiple mild TBIs, and 10 nonathletes, also diagnosed with MCI but with no history of TBI, completed a standard neurologic examination and neuropsychological testing. Independent samples t tests were conducted to examine differences in neuropsychological performance between the two groups.

Results:
The retired athletes with a history of mild TBI obtained generally similar scores to the nonathlete controls on measures of verbal learning and memory, verbal fluency, and processing speed. However, the retired athletes scored lower than the controls on tests of confrontation naming and speeded visual attention.

Conclusion:
Retired athletes with MCI and a history of mild TBI demonstrated similar neuropsychological profiles as nonathlete controls despite lower scores on measures of confrontation naming and speeded visual attention. These findings suggest that a history of multiple mild TBIs does not significantly alter the overall neuropsychological profile of individuals with MCI; confirmation of this will require longitudinal research with larger sample sizes.
Vision Loss From Giant Cell Arteritis in Patients With Other Ocular Diagnoses
Authors: Nichani Prem , Biousse Valérie , Newman Nancy J. , Micieli Jonathan A. 
Published: August 2020

Abstract:
Vision problems from giant cell arteritis (GCA) can be difficult to diagnose as patients may present with vision loss in the absence of systemic symptoms, have other comorbidities that affect inflammatory blood markers, or have other ocular diagnoses. We present 3 cases illustrating this point including a patient with advanced glaucoma with worsening vision from posterior ischemic optic neuropathy from GCA, a patient with arteritic anterior ischemic optic neuropathy (AAION) erroneously diagnosed as optic neuritis without elevated inflammatory blood markers due to corticosteroid use, and a patient with AAION and a history of nonarteritic anterior ischemic optic neuropathy in her fellow eye and untreated obstructive sleep apnea. GCA should be kept in the differential diagnosis for patients over 50 years of age even if they carry other ocular diagnoses. Temporal artery biopsy remains the gold standard for GCA diagnosis and is often required in equivocal cases.
Periodic Discharges: How to Approach, When to Treat
Authors: Husari Khalil S. , Johnson Emily L. 
Published: September 2020

Summary:The use of continuous EEG monitoring has expanded in the last decade, allowing the recognition not only of nonconvulsive seizures but also of the relatively high prevalence of periodic and rhythmic EEG patterns. Periodic discharges are a fairly common EEG pattern and often present a therapeutic challenge when encountered. We will consider five associations of these periodic discharges: ictal, acute seizures, epileptogenic, injurious, and epiphenomenal. We present the challenges and unanswered questions pertaining to periodic discharges, along with several next steps and future directions to help enhance our understanding of periodic discharges. We also present an algorithmic approach to management centered on clinicoelectrographic and clinicoradiologic data.
The association between left ventricular mass index and serum sirtuin 3 level in patients with hypertension
Authors: Karayiğit Orhan , Çelik Muhammet Cihat , Kiziltunç Emrullah , Çiçekçioğlu Hülya , Topçuoğlu Canan , Doğanay Birsen , Çetin Mustafa 
Published: August 2020

Objectives
Sirtuin 3 (SIRT3) can protect cardiomyocytes from oxidative stress-mediated cell damage and prevent cardiac hypertrophy development. The aim of this study was to evaluate whether a relationship existed between left ventricular mass index (LVMI) and serum SIRT3 levels in patients with hypertension.

Patients and methods
This study was conducted as a cross-sectional study of 83 patients between April 2018 and October 2018. The LVMI of all patients was calculated using the formula of the American Echocardiography Association and patients were divided into two groups according to results (increased LVMI and normal LVMI).

Results
Increased LVMI was determined in 37.3% of patients, whereas 62.7% had normal LVMI. There was no significant difference between serum SIRT3 levels between those with increased LVMI and normal LVMI (5.8 versus 5.4 ng/ml; P = 0.914). Serum pro-brain natriuretic peptide levels (69 versus 41 ng/ml; P = 0.019) were found to be higher in patients with increased LVMI than in those with normal LVMI. A positive correlation between SIRT3 levels and Sm (myocardial systolic) velocity was also determined (r = 0.338; P = 0.002).

Conclusion
The serum levels of SIRT3, a molecule which has been proposed to have protective properties against myocardial hypertrophy, were not found to be correlated with LVMI values; however, SIRT3 levels were found to be correlated with Sm velocity, which is accepted to be an indicator of myocardial early diastolic dysfunction.
Interference of feral radish (Raphanus sativus) resistant to AHAS-inhibiting herbicides in oilseed rape, wheat and sunflower crops
Authors: Vercellino Roman B. , Pandolfo Claudio E. , Cantamutto Miguel , Presotto Alejandro 
Published: August 2020

AbstractRaphanus sativus(feral radish), a cosmopolitan weed, has developed resistance to acetohydroxyacid synthase (AHAS) inhibitor herbicides in several countries of South America. This study reports the effects of season-long interference of several feral radish densities on grain yield and yield components of oilseed rape, wheat and sunflower, and on feral radish traits under field conditions. Feral radish density treatments consisted of 0, 2, 4, 8 and 16 plants m−2in oilseed rape, 0, 4 and 12 plants m−2in wheat, and 0, 1.6, 4, 8 and 16 plants m−2in sunflower. The number of inflorescences per area, seeds per inflorescence and the seed biomass of crops were reduced with increasing feral radish densities. The rectangular hyperbola model revealed yield losses by up to 100 %, 74.4 % and 12.2 % in oilseed rape, wheat and sunflower, respectively. Feral radish seed production ranged from 4,300 to 31,200, and 1000 to 4,700 seeds m−2in winter crops and sunflower, respectively. Season-long feral radish interference can result in serious economic losses in oilseed rape, wheat and sunflower. The adverse impact of feral radish on the yield of winter and summer crops and the high feral radish seed and pods production suggests the need for the development and implementation of diverse and effective long-term weed management practices.
Neural vulnerability and hurricane-related media predict posttraumatic stress in youth
Authors: Dick Anthony Steven , Silva Karina , Gonzalez Raul , Sutherland Matthew T. , Laird Angela R. , Thompson Wesley K. , Tapert Susan F. , Squeglia Lindsay M. , Gray Kevin M. , Nixon Sara Jo , Cottler Linda B. , La Greca Annette M. , Gurwitch Robin H. , Comer Jonathan S. 
Published: August 2020

ABSTRACTAs natural disasters increase in frequency and severity1, 2, mounting evidence reveals that their human toll extends beyond death, injury, and loss. Posttraumatic stress (PTS) can be common among directly exposed individuals, and children are particularly vulnerable3, 4. Curiously, PTS can even be found among youth far removed from harm’s way, and media-based exposure may partially account for this phenomenon5–8. Unfortunately, susceptibility to media effects has been difficult to characterize because most research is initiated post-event, precluding examination of pre-disaster factors. In this study, we mitigate this issue with data from nearly 400 9-to 11-year-old children collected prior to and after Hurricane Irma. We evaluate whether preexisting neural patterns moderate associations between hurricane experiences and later Irma-related PTS. We show that “dose” of bothobjectiveexposure and Irma-relatedmediaexposure predicted Irma-related PTS, the latter even among children dwelling thousands of kilometers away from the hurricane. Furthermore, we show, using pre-hurricane functional magnetic resonance imaging data, that neural responses in brain regions associated with anxiety and stress confer particular vulnerability to the psychological effects of hurricane exposure among certain children. Surprisingly, this was even the case for media exposure– we found that that right amygdala reactivity to fearful stimuli moderated the association between Irma-related media exposure and PTS symptoms, with the media-PTS association strongest for children showing pre-hurricane heightened amygdala reactivity to Fear vs Neutral Faces. In contrast, in bilateral orbitofrontal cortex and left parahippocampal gyrus, children showing a weak response to the Fear condition relative to the Neutral condition were especially susceptible to PTS as a result of Irma-related media exposure. Collectively, these findings run counter to outdated “bullseye” models of disaster exposure that assume negative effects are narrowly circumscribed around a disaster’s geographic epicenter9. In contrast, for some youth with measurable preexisting vulnerability, consumption of extensive disaster-related media appears to offer an alternative pathway to disaster exposure that transcends geography and objective risk. This preventable exposure should be considered in disaster-related mental health efforts.
Evolution of Single Gyroid Photonic Crystals in Bird Feathers
Authors: Saranathan Vinodkumar , Narayanan Suresh , Sandy Alec , Dufresne Eric R. , Prum Richard O. 
Published: August 2020

AbstractVivid, saturated structural colors are conspicuous and important features of many animals. A rich diversity of three-dimensional periodic photonic nanostructures is found in the chitinaceous exoskeletons of invertebrates. Three-dimensional photonic nanostructures have been described in bird feathers, but they are typically quasi-ordered. Here, we report bi-continuous single gyroid β-keratin and air photonic crystal networks in the feather barbs of blue-winged leafbirds(Chloropsis cochinchinensis sensu lato), which have evolved from ancestral quasi-ordered channel-type nanostructures. Self-assembled avian photonic crystals may serve as inspiration for multi-functional applications, as they suggest efficient, alternative routes to single gyroid synthesis at optical length-scales, which has been experimentally elusive.
Clinal genomic analysis reveals strong reproductive isolation across a steep habitat transition in stickleback fish
Authors: Haenel Quiterie , Oke Krista B. , Laurentino Telma G. , Hendry Andrew P. , Berner Daniel 
Published: August 2020

AbstractHow ecological divergence causes strong reproductive isolation between populations in close geographic contact remains poorly understood at the genomic level. We here study this question in a stickleback population pair adapted to contiguous, ecologically different lake and stream habitats. Dense clinal whole-genome sequence data reveal numerous regions fixed for alternative alleles over a distance of just a few hundred meters. This strong polygenic adaptive divergence must constitute a genome-wide barrier to gene flow because a steep cline in allele frequencies is observed across the entire genome, and because the cline center co-localizes with the habitat transition. Simulations confirm that such strong reproductive isolation can be maintained by polygenic selection despite high dispersal and small per-locus selection coefficients. Finally, comparing samples from the cline center before and after an unusual ecological perturbation demonstrates the fragility of the balance between gene flow and selection. Overall, our study highlights the efficacy of divergent selection in maintaining reproductive isolation without physical isolation, and the analytical power of studying speciation at a fine eco-geographic and genomic scale.
The E3 ubiquitin ligase Mind bomb 1 enhances nuclear import of viral DNA by inactivating a virion linchpin protein that suppresses exposure of virion pathogen-associated molecular patterns
Authors: Bauer Michael , Gomez-Gonzalez Alfonso , Suomalainen Maarit , Hemmi Silvio , Greber Urs F. 
Published: August 2020

ABSTRACTIn eukaryotic cells, genomes from incoming DNA viruses mount two opposing reactions, viral gene expression and innate immune response, depending on genome exposure (uncoating) to either RNA-polymerases or DNA sensors. Here we show that adenovirus particles contain a tunable linchpin protein with a dual function: response to host cues for scheduled DNA release into the nucleus, and innate immunity suppression by preventing unscheduled DNA release. Scheduled DNA release required the proteasome and ubiquitination of the viral core protein V. Cells lacking the E3 ligase Mind bomb 1 (Mib1) were resistant to wild-type adenovirus infection. Viruses lacking protein V or bearing non-ubiquitinable protein V, however, readily infected Mib1 knockout cells, yet were less infectious than wild-type virus. Their genomes were poorly imported into the nucleus and remained uncoated in the cytosol, thereby enhancing chemokine and interferon production through the DNA sensor cGAS. Our data uncover how the ubiquitin-proteasome system controls the function of a virion linchpin protein suppressing pathogen-associated molecular patterns and triggers viral DNA uncoating at the nuclear pore complex for nuclear import and infection.
Asymmetric nuclear division of neural stem cells contributes to the formation of sibling nuclei with different identities
Authors: Roubinet Chantal , White Ian J. , Baum Buzz 
Published: August 2020

AbstractCellular diversity in multicellular organisms is often generated via asymmetric divisions. In the fly, for example, neural stem cells divide asymmetrically to generate a large self-renewing stem cell and a smaller sibling that differentiates. Efforts to understand how these different cell fates are generated have focused on the asymmetric segregation of cortically-localised transcription factors at division, which preferentially enter single daughter cell nuclei to change their fate. However, we find that the nuclear compartment in these cells remains intact throughout mitosis and is asymmetrically inherited, giving rise to sibling nuclei that differ profoundly in size, envelope composition and fate markers. These data reveal the importance of considering nuclear remodelling during stem cell divisions, and show how daughter cell fates depend on the coordination of the asymmetric inheritance of cortical fate markers with asymmetric nuclear division.
Establishment of murine hybridoma cells producing antibodies against spike protein of SARS-CoV-2
Authors: Antipova Nadezhda V. , Larionova Tatyana D. , Shakhparonov Michail I. , Pavlyukov Marat S. 
Published: August 2020

AbstractIn 2020 the world faced the pandemic of COVID-19 - severe acute respiratory syndrome caused by a new type of coronavirus named SARS-CoV-2. To stop the spread of the disease, it is crucial to create molecular tools allowing to investigate, diagnose and treat COVID-19. One of such tools are monoclonal antibodies (mAbs). In this study we describe the development of hybridoma cells that can produce mouse mAbs against receptor binding domain of SARS-CoV-2 spike (S) protein. These mAbs are able to specifically detect native and denaturized S protein in all tested applications including immunoblotting, immunofluorescence staining and enzyme-linked immunosorbent assay. In addition, we showed that the obtained mAbs decreased infection rate of human cells by SARS-CoV-2 pseudovirus particles inin vitroexperiments. Finally, we determined the amino acid sequence of light and heavy chains of the mAbs. This information will allow to use the corresponding peptides to establish genetically engineered therapeutic antibodies. To date multiple mAbs against SARS-CoV-2 proteins have been established, however due to the restrictions caused by pandemic, it is imperative to have a local source of the antibodies suitable for researches and diagnostics of COVID-19. Moreover, as each mAb has a unique binding sequence, bigger sets of various antibodies will allow to detect SARS-CoV-2 proteins even if the virus acquires novel mutations.
Contingency and chance erase necessity in the experimental evolution of ancestral proteins
Authors: Xie Victoria Cochran , Pu Jinyue , Metzger Brian P.H. , Thornton Joseph W. , Dickinson Bryan C. 
Published: August 2020

ABSTRACTTo understand why evolution produced the biological systems that exist today, we must know how important chance, contingency, and necessity were during history. Previous observations suggest that each of these modes of causality affects evolution in various settings, but their relative roles and interactions are not well characterized because they have never been systematically assessed in a single system or on a timescale relevant to evolutionary history. To this end, we reconstructed ancestral B-cell-lymphoma-2-family proteins and developed a continuous evolution method to select for defined protein-protein interaction specificities. By repeatedly evolving a series of ancestral proteins to acquire specificities that occurred during history, we show that contingency steadily overwhelms chance and erases necessity as the primary cause of sequence variation in proteins over long phylogenetic timescales. As a result, evolutionary trajectories launched from distant starting points are essentially unpredictable, even under strong and identical selection pressures. Genetic dissection of the outcomes shows that chance arises because numerous sets of mutations can alter specificity at any point in time, while contingency arises because historical substitutions change these sets. Patterns of variation in extant protein sequences are therefore largely the idiosyncratic product of a particular course of unpredictable historical events.
App-based symptom tracking to optimize SARS-CoV-2 testing strategy using machine learning
Authors: Dantas Leila F. , Peres Igor T. , Bastos Leonardo S. L. , Marchesi Janaina F. , de Souza Guilherme F. G. , Gelli João Gabriel M. , Baião Fernanda A. , Maçaira Paula , Hamacher Silvio , Bozza Fernando A. 
Published: September 2020

AbstractBackgroundTests are scarce resources, especially in low and middle-income countries, and the optimization of testing programs during a pandemic is critical for the effectiveness of the disease control. Hence, we aim to use the combination of symptoms to build a regression model as a screening tool to identify people and areas with a higher risk of SARS-CoV-2 infection to be prioritized for testing.Materials and MethodsWe applied machine learning techniques and provided a visualization of potential regions with high densities of COVID-19 as a risk map. We performed a retrospective analysis of individuals registered in “Dados do Bem”, an app-based symptom tracker in use in Brazil.ResultsFrom April 28 to July 16, 2020, 337,435 individuals registered their symptoms through the app. Of these, 49,721 participants were tested for SARS-CoV-2 infection, being 5,888 (11.8%) positive. Among self-reported symptoms, loss of smell (OR[95%CI]: 4.6 [4.4 - 4.9]), fever (2.6 [2.5 - 2.8]), and shortness of breath (2.1 [1.6-2.7]) were associated with SARS-CoV-2 infection. Our final model obtained a competitive performance, with only 7% of false-negative users among the predicted as negatives (NPV = 0.93). From the 287,714 users still not tested, our model estimated that only 34.5% are potentially infected, thus reducing the need for extensive testing of all registered users. The model was incorporated by the “Dados do Bem” app aiming to prioritize users for testing. We developed an external validation in the state of Goias and found that of the 465 users selected, 52% tested positive.ConclusionsOur results showed that the combination of symptoms might predict SARS-Cov-2 infection and, therefore, can be used as a tool by decision-makers to refine testing and disease control strategies.
24 People, one test: Boosting test efficiency using pooled serum antibody testing for SARS-CoV-2
Authors: Nessler Stefan , Franz Jonas , van der Meer Franziska , Kolotourou Konstantina , Venkataramani Vivek , Hasan Chalid , Pollok-Kopp Beatrix , Zautner Andreas E. , Stadelmann Christine , Weig Michael , Pöhlmann Stefan , Hoffmann Markus , Riggert Joachim 
Published: September 2020

SUMMARYBackgroundThe global pandemic of COVID-19 (coronavirus disease 2019) is caused by the novel coronavirus SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), with different prevalence rates across countries and regions. Dynamic testing strategies are mandatory to establish efficient mitigation strategies against the disease; to be cost effective, they should adapt to regional prevalences. Seroprevalence surveys that detect individuals who have mounted an immune response against COVID-19 will help to determine the total number of infections within a community and improve the epidemiological calculations of attack and case fatality rates of the virus. They will also inform about the percentage of a population that might be immune against re-infections.MethodsWe developed a sensitive and specific cell-based assay to detect conformational SARS-CoV-2 spike (SARS-2-S) S1 antibodies in human serum, and have cross-evaluated this assay against two FDA-approved SARS-CoV-2 antibody assays. We performed pseudovirus neutralization assays to determine whether sera that were rated antibody-positive in our assay were able to specifically neutralize SARS-2-S. We pooled up to 24 sera and assessed the group testing performance of our cell-based assay. Group testing was further optimized by Monte Carlo like simulations and prospectively evaluated.FindingsHighly significant correlations could be established between our cell-based assay and commercial antibody tests for SARS-CoV-2. SARS-2-S S1 antibody-positive sera neutralized SARS-2-S but not SARS-S, and were sensitively and specifically detected in pools of 24 samples. Monte Carlo like simulations demonstrated that a simple two-step pooling scheme with fixed pool sizes performed at least equally as well as Dorfman’s optimal testing across a wide range of antibody prevalences.InterpretationWe demonstrate that a cell-based assay for SARS-2-S S1 antibodies qualifies for group testing of neutralizing anti-SARS-2-S antibodies. The assay can be combined with an easily implemented algorithm which greatly expands the screening capacity to detect anti-SARS-2-S antibodies across a wide range of antibody prevalences. It will thus improve population serological testing in many countries.FundingThis work was supported by the Bundesministerium für Bildung und Forschung within the network project RAPID (risk assessment in pre-pandemic respiratory infectious diseases [grant number 01KI1723D, S.P.]).