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Blue tits learn to avoid gross food by watching videos of other birds

Blue tits and great tits don’t need to taste unpleasant foods to avoid them – they can learn not to try them by seeing another bird’s disgusted response, even if it’s only on video




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Wasps may benefit us as much as bees. Could we learn to love them?

We love to hate wasps, but they pollinate flowers, kill off pests and their venom might even help us treat cancer




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Bats can learn to copy sounds and it may teach us about human speech

Pale spear-nosed bats can learn to alter their calls to mimic different sounds – a rare skill that could help us understand the biology of human speech and language




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Falling rocks can explode so hard that only nuclear weapons beat them

If big rocks fall far enough they can explode with more energy than any non-nuclear bomb – and the ensuing shockwave can snap large trees half a kilometre away




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Reuters Newsmaker full event: Ryanair’s O’Leary on growth, Brexit, the environment and executive pay

Ryanair Group CEO Michael O’Leary sits down with Reuters Tim Hepher to discuss challenges including industry-wide consolidation, environmental taxes, Brexit, the grounding of the Boeing 737 MAX and his 5-year, 100 million euro bonus package. Watch here the full event.




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Wasps may benefit us as much as bees. Could we learn to love them?

We love to hate wasps, but they pollinate flowers, kill off pests and their venom might even help us treat cancer




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A Japanese nuclear power plant created a habitat for tropical fish

A small increase in water temperature near a Japanese nuclear power plant allowed tropical fish to colonise the area, suggesting global warming will drastically alter some marine ecosystems




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Rate of Statin-Linked Muscle Woes Unclear, Study Suggests

Title: Rate of Statin-Linked Muscle Woes Unclear, Study Suggests
Category: Health News
Created: 4/27/2012 4:05:00 PM
Last Editorial Review: 4/30/2012 12:00:00 AM




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Study: Gene Therapy for HIV Safe, But Effectiveness Still Unclear

Title: Study: Gene Therapy for HIV Safe, But Effectiveness Still Unclear
Category: Health News
Created: 5/2/2012 4:05:00 PM
Last Editorial Review: 5/3/2012 12:00:00 AM




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By 9 Months, Baby's Visual Learning Kicks In: Study

Title: By 9 Months, Baby's Visual Learning Kicks In: Study
Category: Health News
Created: 4/30/2014 9:35:00 AM
Last Editorial Review: 4/30/2014 12:00:00 AM




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For Newly Insured Under Obamacare, a Steep Learning Curve

Title: For Newly Insured Under Obamacare, a Steep Learning Curve
Category: Health News
Created: 5/2/2014 9:35:00 AM
Last Editorial Review: 5/2/2014 12:00:00 AM




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Babies Born Addicted to Opioids Often Struggle With Learning

Title: Babies Born Addicted to Opioids Often Struggle With Learning
Category: Health News
Created: 5/3/2017 12:00:00 AM
Last Editorial Review: 5/4/2017 12:00:00 AM




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College Kids May Be Learning, Even When Checking Smartphones

Title: College Kids May Be Learning, Even When Checking Smartphones
Category: Health News
Created: 4/27/2018 12:00:00 AM
Last Editorial Review: 4/30/2018 12:00:00 AM




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AHA News: Estrogen Therapy in Early Menopause May Help Keep Arteries Clear

Title: AHA News: Estrogen Therapy in Early Menopause May Help Keep Arteries Clear
Category: Health News
Created: 3/3/2020 12:00:00 AM
Last Editorial Review: 3/4/2020 12:00:00 AM




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Learning and Teaching Together to Advance Evidence-Based Clinical Education: A Faculty Learning Community

Clinical teaching is a cornerstone of health sciences education; it is also the most challenging aspect. The University of Pittsburgh Schools of Dental Medicine, Nursing, and Pharmacy developed a new evidence-based interprofessional course framed as a faculty learning community (FLC) around the principles of learning in a clinical environment. The aim of this study was to assess the overall effectiveness of this two-semester FLC at four health professions schools in academic year 2014-15. The assessment included anonymous participant surveys in each session and an anonymous end-of-course survey. Thirty-five faculty members from dental, health and rehabilitation sciences, nursing, and pharmacy enrolled in the FLC, with six to 32 enrollees attending each session. All attendees at each session completed the session evaluation surveys, but the attendance rate at each session ranged from 17.1% to 91.4%. Sixteen participants (46%) completed the end-of-course survey. The results showed overall positive responses to the FLC and changes in the participants’ self-reported knowledge. Session surveys showed that the participants found the FLC topics helpful and appreciated the opportunity to learn from each other and the interprofessional nature of the FLC. Responses to the end-of-course survey were in alignment with the individual session surveys and cited specific benefits as being the content, teaching materials, and structured discussions. In additional feedback, participants reported interest to continue as a cohort and to extend the peer-support system beyond the FLC. This outcomes assessment of the first round of the FLC confirmed that this cohort-based faculty development in an interprofessional setting was well received by its participants. Their feedback provided valuable insights for changes to future offerings.




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Gamma Interferon Is Required for Chlamydia Clearance but Is Dispensable for T Cell Homing to the Genital Tract

ABSTRACT

While there is no effective vaccine against Chlamydia trachomatis infection, previous work has demonstrated the importance of C. trachomatis-specific CD4+ T cells (NR1 T cells) in pathogen clearance. Specifically, NR1 T cells have been shown to be protective in mice, and this protection depends on the host’s ability to sense the cytokine gamma interferon (IFN-). However, it is unclear what role NR1 production or sensing of IFN- plays in T cell homing to the genital tract or T cell-mediated protection against C. trachomatis. Using two-photon microscopy and flow cytometry, we found that naive wild-type (WT), IFN-–/–, and IFN-R–/– NR1 T cells specifically home to sections in the genital tract that contain C. trachomatis. We also determined that protection against infection requires production of IFN- from either NR1 T cells or endogenous cells, further highlighting the importance of IFN- in clearing C. trachomatis infection.

IMPORTANCE Chlamydia trachomatis is an important mucosal pathogen that is the leading cause of sexually transmitted bacterial infections in the United States. Despite this, there is no vaccine currently available. In order to develop such a vaccine, it is necessary to understand the components of the immune response that can lead to protection against this pathogen. It is well known that antigen-specific CD4+ T cells are critical for Chlamydia clearance, but the contexts in which they are protective or not protective are unknown. Here, we aimed to characterize the importance of gamma interferon production and sensing by T cells and the effects on the immune response to C. trachomatis. Our work here helps to define the contexts in which antigen-specific T cells can be protective, which is critical to our ability to design an effective and protective vaccine against C. trachomatis.




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Viral DNA Binding Protein SUMOylation Promotes PML Nuclear Body Localization Next to Viral Replication Centers

ABSTRACT

Human adenoviruses (HAdVs) have developed mechanisms to manipulate cellular antiviral measures to ensure proper DNA replication, with detailed processes far from being understood. Host cells repress incoming viral genomes through a network of transcriptional regulators that normally control cellular homeostasis. The nuclear domains involved are promyelocytic leukemia protein nuclear bodies (PML-NBs), interferon-inducible, dot-like nuclear structures and hot spots of SUMO posttranslational modification (PTM). In HAdV-infected cells, such SUMO factories are found in close proximity to newly established viral replication centers (RCs) marked by the adenoviral DNA binding protein (DBP) E2A. Here, we show that E2A is a novel target of host SUMOylation, leading to PTMs supporting E2A function in promoting productive infection. Our data show that SUMOylated E2A interacts with PML. Decreasing SUMO-E2A protein levels by generating HAdV variants mutated in the three main SUMO conjugation motifs (SCMs) led to lower numbers of viral RCs and PML-NBs, and these two structures were no longer next to each other. Our data further indicate that SUMOylated E2A binds the host transcription factor Sp100A, promoting HAdV gene expression, and represents the molecular bridge between PML tracks and adjacent viral RCs. Consequently, E2A SCM mutations repressed late viral gene expression and progeny production. These data highlight a novel mechanism used by the virus to benefit from host antiviral responses by exploiting the cellular SUMO conjugation machinery.

IMPORTANCE PML nuclear bodies (PML-NBs) are implicated in general antiviral defense based on recruiting host restriction factors; however, it is not understood so far why viruses would establish viral replication centers (RCs) juxtaposed to such "antiviral" compartments. To understand this enigma, we investigate the cross talk between PML-NB components and viral RCs to find the missing link connecting both compartments to promote efficient viral replication and gene expression. Taken together, the current concept is more intricate than originally believed, since viruses apparently take advantage of several specific PML-NB-associated proteins to promote productive infection. Simultaneously, they efficiently inhibit antiviral measures to maintain the viral infectious program. Our data provide evidence that SUMOylation of the viral RC marker protein E2A represents the basis of this virus-host interface and regulates various downstream events to support HAdV productive infection. These results are the basis of our current attempts to generate and screen for specific E2A SUMOylation inhibitors to constitute novel therapeutic approaches to limit and prevent HAdV-mediated diseases and mortality of immunosuppressed patients.




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Coping with COVID: How a Research Team Learned To Stay Engaged in This Time of Physical Distancing

ABSTRACT

Physical distancing imposed by the COVID-19 pandemic has led to alterations in routines and new responsibilities for much of the research community. We provide some tips for how research teams can cope with physical distancing, some of which require a change in how we define productivity. Importantly, we need to maintain and strengthen social connections in this time when we can’t be physically together.




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Machine learning as a diagnostic decision aid for patients with transient loss of consciousness

Background

Transient loss of consciousness (TLOC) is a common reason for presentation to primary/emergency care; over 90% are because of epilepsy, syncope, or psychogenic non-epileptic seizures (PNES). Misdiagnoses are common, and there are currently no validated decision rules to aid diagnosis and management. We seek to explore the utility of machine-learning techniques to develop a short diagnostic instrument by extracting features with optimal discriminatory values from responses to detailed questionnaires about TLOC manifestations and comorbidities (86 questions to patients, 31 to TLOC witnesses).

Methods

Multi-center retrospective self- and witness-report questionnaire study in secondary care settings. Feature selection was performed by an iterative algorithm based on random forest analysis. Data were randomly divided in a 2:1 ratio into training and validation sets (163:86 for all data; 208:92 for analysis excluding witness reports).

Results

Three hundred patients with proven diagnoses (100 each: epilepsy, syncope and PNES) were recruited from epilepsy and syncope services. Two hundred forty-nine completed patient and witness questionnaires: 86 epilepsy (64 female), 84 PNES (61 female), and 79 syncope (59 female). Responses to 36 questions optimally predicted diagnoses. A classifier trained on these features classified 74/86 (86.0% [95% confidence interval 76.9%–92.6%]) of patients correctly in validation (100 [86.7%–100%] syncope, 85.7 [67.3%–96.0%] epilepsy, 75.0 [56.6%–88.5%] PNES). Excluding witness reports, 34 features provided optimal prediction (classifier accuracy of 72/92 [78.3 (68.4%–86.2%)] in validation, 83.8 [68.0%–93.8%] syncope, 81.5 [61.9%–93.7%] epilepsy, 67.9 [47.7%–84.1%] PNES).

Conclusions

A tool based on patient symptoms/comorbidities and witness reports separates well between syncope and other common causes of TLOC. It can help to differentiate epilepsy and PNES. Validated decision rules may improve diagnostic processes and reduce misdiagnosis rates.

Classification of evidence

This study provides Class III evidence that for patients with TLOC, patient and witness questionnaires discriminate between syncope, epilepsy and PNES.




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Progressive supranuclear palsy and pawpaw

Consider consumption of annonacin-containing plant products, including pawpaw, as a possible environmental risk factor for atypical parkinsonism.




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Machine Learning Techniques for Classifying the Mutagenic Origins of Point Mutations [Methods, Technology, [amp ] Resources]

There is increasing interest in developing diagnostics that discriminate individual mutagenic mechanisms in a range of applications that include identifying population-specific mutagenesis and resolving distinct mutation signatures in cancer samples. Analyses for these applications assume that mutagenic mechanisms have a distinct relationship with neighboring bases that allows them to be distinguished. Direct support for this assumption is limited to a small number of simple cases, e.g., CpG hypermutability. We have evaluated whether the mechanistic origin of a point mutation can be resolved using only sequence context for a more complicated case. We contrasted single nucleotide variants originating from the multitude of mutagenic processes that normally operate in the mouse germline with those induced by the potent mutagen N-ethyl-N-nitrosourea (ENU). The considerable overlap in the mutation spectra of these two samples make this a challenging problem. Employing a new, robust log-linear modeling method, we demonstrate that neighboring bases contain information regarding point mutation direction that differs between the ENU-induced and spontaneous mutation variant classes. A logistic regression classifier exhibited strong performance at discriminating between the different mutation classes. Concordance between the feature set of the best classifier and information content analyses suggest our results can be generalized to other mutation classification problems. We conclude that machine learning can be used to build a practical classification tool to identify the mutation mechanism for individual genetic variants. Software implementing our approach is freely available under an open-source license.




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Complexes between C-Reactive Protein and Very Low Density Lipoprotein Delay Bacterial Clearance in Sepsis [INFECTIOUS DISEASE AND HOST RESPONSE]

Key Points

  • Kupffer cells phagocytose both bacteria and CRP–VLDL complexes.

  • High levels of CRP–VLDL complexes delay bacterial clearance.

  • Pch disrupts CRP–VLDL complexes to improve bacterial clearance.




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    Heterogeneous Nuclear Ribonucleoprotein L Negatively Regulates Foot-and-Mouth Disease Virus Replication through Inhibition of Viral RNA Synthesis by Interacting with the Internal Ribosome Entry Site in the 5' Untranslated Region [Virus-Cell Interactio

    Upon infection, the highly structured 5' untranslated region (5' UTR) of picornavirus is involved in viral protein translation and RNA synthesis. As a critical element in the 5' UTR, the internal ribosome entry site (IRES) binds to various cellular proteins to function in the processes of picornavirus replication. Foot-and-mouth disease virus (FMDV) is an important member in the family Picornaviridae, and its 5' UTR contains a functional IRES element. In this study, the cellular heterogeneous nuclear ribonucleoprotein L (hnRNP L) was identified as an IRES-binding protein for FMDV by biotinylated RNA pulldown assays, mass spectrometry (MS) analysis, and determination of hnRNP L-IRES interaction regions. Further, we found that hnRNP L inhibited the growth of FMDV through binding to the viral IRES and that the inhibitory effect of hnRNP L on FMDV growth was not due to FMDV IRES-mediated translation, but to influence on viral RNA synthesis. Finally, hnRNP L was demonstrated to coimmunoprecipitate with RNA-dependent RNA polymerase (3Dpol) in an FMDV RNA-dependent manner in the infected cells. Thus, our results suggest that hnRNP L, as a critical IRES-binding protein, negatively regulates FMDV replication by inhibiting viral RNA synthesis, possibly by remaining in the replication complex.

    IMPORTANCE Picornaviruses, as a large family of human and animal pathogens, cause a bewildering array of disease syndromes. Many host factors are implicated in the pathogenesis of these viruses, and some proteins interact with the viral IRES elements to affect function. Here, we report for the first time that cellular hnRNP L specifically interacts with the IRES of the picornavirus FMDV and negatively regulates FMDV replication through inhibiting viral RNA synthesis. Further, our results showed that hnRNP L coimmunoprecipitates with FMDV 3Dpol in a viral RNA-dependent manner, suggesting that it may remain in the replication complex to function. The data presented here would facilitate further understanding of virus-host interactions and the pathogenesis of picornavirus infections.




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    Learning of bimodal vs. unimodal signals in restrained bumble bees [RESEARCH ARTICLE]

    Andre J. Riveros, Anne S. Leonard, Wulfila Gronenberg, and Daniel R. Papaj

    Similar to animal communication displays, flowers emit complex signals that attract pollinators. Signal complexity could lead to higher cognitive load, impairing performance, or might benefit pollinators by facilitating learning, memory and decision-making. Here, we evaluate learning and memory in foragers of the bumble bee Bombus impatiens trained to simple (unimodal) vs. complex signals (bimodal) under restrained conditions. Use of a proboscis extension response protocol enabled us to control the timing and duration of stimuli presented during absolute and differential learning tasks. Overall, we observed broad variation in the performance under the two conditions, with bees trained to compound bimodal signals learning and remembering as well as, better, or more poorly than bees trained to unimodal signals. Interestingly, the outcome of training was affected by the specific colour-odour combination. Among unimodal stimuli, the performance with odour stimuli was higher than with colour stimuli, suggesting that olfactory signals played a more significant role in the compound bimodal condition. This was supported by the fact that after 24 h, most bimodal-treatment bees responded to odour but not visual stimuli. We did not observe differences in latency of response, suggesting that signal composition affected decision accuracy, not speed. We conclude that restrained bumble bee workers exhibit broad variation of responses to bimodal stimuli and that components of the bimodal signal may not be used equivalently. The analysis of bee performance under restrained conditions enables accurately control the multimodal stimuli provided to individuals and to study the interaction of individual components within a compound.




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    Recent Approaches To Optimize Laboratory Assessment of Antinuclear Antibodies [Minireviews]

    The presence of antinuclear antibodies (ANAs) is a hallmark of a number of systemic autoimmune rheumatic diseases, and testing is usually performed as part of the initial diagnostic workup when suspicion of an underlying autoimmune disorder is high. The indirect immunofluorescence antibody (IFA) technique is the preferred method for detecting ANAs, as it demonstrates binding to specific intracellular structures within the cells, resulting in a number of staining patterns that are usually categorized based on the cellular components recognized and the degree of binding, as reflected by the fluorescence intensity or titer. As a screening tool, the ANA patterns can guide confirmatory testing useful in elucidating a specific clinical diagnosis or prognosis. However, routine use of ANA IFA testing as a global screening test is hampered by its labor-intensiveness, subjectivity, and limited diagnostic specificity, among other factors. This review focuses on current efforts to standardize the nomenclature of ANA patterns and on alternative methods for ANA determination, as well as on recent advances in image-based computer algorithms to automate IFA testing in clinical laboratories.




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    Hepatic Transporter Alterations by Nuclear Receptor Agonist T0901317 in Sandwich-Cultured Human Hepatocytes: Proteomic Analysis and PBPK Modeling to Evaluate Drug-Drug Interaction Risk [Metabolism, Transport, and Pharmacogenomics]

    In vitro approaches for predicting drug-drug interactions (DDIs) caused by alterations in transporter protein regulation are not well established. However, reports of transporter regulation via nuclear receptor (NR) modulation by drugs are increasing. This study examined alterations in transporter protein levels in sandwich-cultured human hepatocytes (SCHH; n = 3 donors) measured by liquid chromatography–tandem mass spectrometry–based proteomic analysis after treatment with N-[4-(1,1,1,3,3,3-hexafluoro-2-hydroxypropan-2-yl)phenyl]-N-(2,2,2-trifluoroethyl)benzenesulfonamide (T0901317), the first described synthetic liver X receptor agonist. T0901317 treatment (10 μM, 48 hours) decreased the levels of organic cation transporter (OCT) 1 (0.22-, 0.43-, and 0.71-fold of control) and organic anion transporter (OAT) 2 (0.38-, 0.38-, and 0.53-fold of control) and increased multidrug resistance protein (MDR) 1 (1.37-, 1.48-, and 1.59-fold of control). The induction of NR downstream gene expression supports the hypothesis that T0901317 off-target effects on farnesoid X receptor and pregnane X receptor activation are responsible for the unexpected changes in OCT1, OAT2, and MDR1. Uptake of the OCT1 substrate metformin in SCHH was decreased by T0901317 treatment. Effects of decreased OCT1 levels on metformin were simulated using a physiologically-based pharmacokinetic (PBPK) model. Simulations showed a clear decrease in metformin hepatic exposure resulting in a decreased pharmacodynamic effect. This DDI would not be predicted by the modest changes in simulated metformin plasma concentrations. Altogether, the current study demonstrated that an approach combining SCHH, proteomic analysis, and PBPK modeling is useful for revealing tissue concentration–based DDIs caused by unexpected regulation of hepatic transporters by NR modulators.

    SIGNIFICANCE STATEMENT

    This study utilized an approach combining sandwich-cultured human hepatocytes, proteomic analysis, and physiologically based pharmacokinetic modeling to evaluate alterations in pharmacokinetics (PK) and pharmacodynamics (PD) caused by transporter regulation by nuclear receptor modulators. The importance of this approach from a mechanistic and clinically relevant perspective is that it can reveal drug-drug interactions (DDIs) caused by unexpected regulation of hepatic transporters and enable prediction of altered PK and PD changes, especially for tissue concentration–based DDIs.




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    Learning-induced mRNA alterations in olfactory bulb mitral cells in neonatal rats [RESEARCH]

    In the olfactory bulb, a cAMP/PKA/CREB-dependent form of learning occurs in the first week of life that provides a unique mammalian model for defining the epigenetic role of this evolutionarily ancient plasticity cascade. Odor preference learning in the week-old rat pup is rapidly induced by a 10-min pairing of odor and stroking. Memory is demonstrable at 24 h, but not 48 h, posttraining. Using this paradigm, pups that showed peppermint preference 30 min posttraining were sacrificed 20 min later for laser microdissection of odor-encoding mitral cells. Controls were given odor only. Microarray analysis revealed that 13 nonprotein-coding mRNAs linked to mRNA translation and splicing and 11 protein-coding mRNAs linked to transcription differed with odor preference training. MicroRNA23b, a translation inhibitor of multiple plasticity-related mRNAs, was down-regulated. Protein-coding transcription was up-regulated for Sec23b, Clic2, Rpp14, Dcbld1, Magee2, Mstn, Fam229b, RGD1566265, and Mgst2. Gng12 and Srcg1 mRNAs were down-regulated. Increases in Sec23b, Clic2, and Dcbld1 proteins were confirmed in mitral cells in situ at the same time point following training. The protein-coding changes are consistent with extracellular matrix remodeling and ryanodine receptor involvement in odor preference learning. A role for CREB and AP1 as triggers of memory-related mRNA regulation is supported. The small number of gene changes identified in the mitral cell input/output link for 24 h memory will facilitate investigation of the nature, and reversibility, of changes supporting temporally restricted long-term memory.




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    Learning & Memory




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    ProPSMA: A Callout to the Nuclear Medicine Community to Change Practices with Prospective, High-Quality Data




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    The Standard of Care: From Nuclear Radiology to Nuclear Medicine




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    Incidental Findings Suggestive of COVID-19 in Asymptomatic Patients Undergoing Nuclear Medicine Procedures in a High-Prevalence Region

    Infection with the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may remain asymptomatic, leading to under-recognition of the related disease, coronavirus disease, 2019 (COVID-19), and to incidental findings in nuclear imaging procedures performed for standard clinical indications. Here, we report about our local experience in a region with high COVID-19 prevalence and dynamically increasing infection rates. Methods: Within the 8-d period of March 16–24, 2020, hybrid imaging studies of asymptomatic patients who underwent 18F-FDG PET/CT or 131I SPECT/CT for standard oncologic indications at our institution in Brescia, Italy, were analyzed for findings suggestive of COVID-19. The presence, radiologic features, and metabolic activity of interstitial pneumonia were identified, correlated with the subsequent short-term clinical course, and described in a case series. Results: Six of 65 patients (9%) who underwent PET/CT for various malignancies showed unexpected signs of interstitial pneumonia on CT and elevated regional 18F-FDG avidity. Additionally, 1 of 12 patients who received radioiodine for differentiated thyroid carcinoma also showed interstitial pneumonia on SPECT/CT. Five of 7 patients had subsequent proof of COVID-19 by reverse-transcriptase polymerase chain reaction. The remaining 2 patients were not tested immediately but underwent quarantine and careful monitoring. Conclusion: Incidental findings suggestive of COVID-19 may not be infrequent in hybrid imaging of asymptomatic patients in regions with an expansive spread of SARS-CoV-2. Nuclear medicine services should prepare accordingly.




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    Nuclear Medicine Operations in the Times of COVID-19: Strategies, Precautions, and Experiences




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    Journal of Nuclear Medicine




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    Measuring airway clearance outcomes in bronchiectasis: a review

    While airway clearance techniques (ACTs) are recommended for individuals with bronchiectasis, many trials have demonstrated inconsistent benefits or failed to reach their primary outcome. This review determined the most common clinical and patient-reported outcome measures used to evaluate the efficacy of ACTs in bronchiectasis. A literature search of five databases using relevant keywords and filtering for studies published in English, up until the end of August 2019, was completed. Studies included randomised controlled trials, using crossover or any other trial design, and abstracts. Studies were included where the control was placebo, no intervention, standard care, usual care or an active comparator. Adults with bronchiectasis not related to cystic fibrosis were included. Extracted data comprised study authors, design, duration, intervention, outcome measures and results. The search identified 27 published studies and one abstract. The most common clinical outcome measures were sputum volume (n=23), lung function (n=17) and pulse oximetry (n=9). The most common patient-reported outcomes were health-related quality of life (measured with St George's Respiratory Questionnaire, n=4), cough-related quality of life (measured with Leicester Cough Questionnaire, n=4) and dyspnoea (measured with Borg/modified Borg scale, n=8). Sputum volume, lung function, dyspnoea and health- and cough-related quality of life appear to be the most common clinical and patient-reported measures of airway clearance treatment efficacy.




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    Sleep Restriction and Memory and Learning in Adolescents




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    Noncoding Variants Connect Enhancer Dysregulation with Nuclear Receptor Signaling in Hematopoietic Malignancies [Research Articles]

    Mutations in protein-coding genes are well established as the basis for human cancer, yet how alterations within noncoding genome, a substantial fraction of which contain cis-regulatory elements (CRE), contribute to cancer pathophysiology remains elusive. Here, we developed an integrative approach to systematically identify and characterize noncoding regulatory variants with functional consequences in human hematopoietic malignancies. Combining targeted resequencing of hematopoietic lineage–associated CREs and mutation discovery, we uncovered 1,836 recurrently mutated CREs containing leukemia-associated noncoding variants. By enhanced CRISPR/dCas9–based CRE perturbation screening and functional analyses, we identified 218 variant-associated oncogenic or tumor-suppressive CREs in human leukemia. Noncoding variants at KRAS and PER2 enhancers reside in proximity to nuclear receptor (NR) binding regions and modulate transcriptional activities in response to NR signaling in leukemia cells. NR binding sites frequently colocalize with noncoding variants across cancer types. Hence, recurrent noncoding variants connect enhancer dysregulation with nuclear receptor signaling in hematopoietic malignancies.

    Significance:

    We describe an integrative approach to identify noncoding variants in human leukemia, and reveal cohorts of variant-associated oncogenic and tumor-suppressive cis-regulatory elements including KRAS and PER2 enhancers. Our findings support a model in which noncoding regulatory variants connect enhancer dysregulation with nuclear receptor signaling to modulate gene programs in hematopoietic malignancies.

    See related commentary by van Galen, p. 646.

    This article is highlighted in the In This Issue feature, p. 627




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    Harnessing Population Pedigree Data and Machine Learning Methods to Identify Patterns of Familial Bladder Cancer Risk

    Background:

    Relatives of patients with bladder cancer have been shown to be at increased risk for kidney, lung, thyroid, and cervical cancer after correcting for smoking-related behaviors that may concentrate in some families. We demonstrate a novel approach to simultaneously assess risks for multiple cancers to identify distinct multicancer configurations (multiple different cancer types that cluster in relatives) surrounding patients with familial bladder cancer.

    Methods:

    This study takes advantage of a unique population-level data resource, the Utah Population Database (UPDB), containing vast genealogy and statewide cancer data. Familial risk is measured using standardized incidence risk (SIR) ratios that account for sex, age, birth cohort, and person-years of the pedigree members.

    Results:

    We identify 1,023 families with a significantly higher bladder cancer rate than population controls (familial bladder cancer). Familial SIRs are then calculated across 25 cancer types, and a weighted Gower distance with K-medoids clustering is used to identify familial multicancer configurations (FMC). We found five FMCs, each exhibiting a different pattern of cancer aggregation. Of the 25 cancer types studied, kidney and prostate cancers were most commonly enriched in the familial bladder cancer clusters. Laryngeal, lung, stomach, acute lymphocytic leukemia, Hodgkin disease, soft-tissue carcinoma, esophageal, breast, lung, uterine, thyroid, and melanoma cancers were the other cancer types with increased incidence in familial bladder cancer families.

    Conclusions:

    This study identified five familial bladder cancer FMCs showing unique risk patterns for cancers of other organs, suggesting phenotypic heterogeneity familial bladder cancer.

    Impact:

    FMC configurations could permit better definitions of cancer phenotypes (subtypes or multicancer) for gene discovery and environmental risk factor studies.




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    [PERSPECTIVES] PTEN Nuclear Functions

    For years, clinical and basic researchers have been aware of the presence of PTEN in the nucleus in cell culture, animal models, and both healthy and diseased human tissues. Despite the early recognition of nuclear PTEN, the understanding of the mechanisms of its nuclear localization, function in the nucleus, and importance in biology and human disease has been lacking. Over the last decade, emerging concepts for the complex involvement of nuclear PTEN in a variety of processes, including genome maintenance and DNA repair, cell-cycle control, gene expression, and DNA replication, are illuminating what could prove to be the key path toward a full understanding of PTEN function in health and disease. Dysregulation of nuclear PTEN is now considered an important aspect of the etiology of many pathologic conditions, prompting reconsideration of the therapeutic approaches aimed at countering the consequences of PTEN deficiency. This new knowledge is fueling the development of innovative therapeutic modalities for a broad spectrum of human conditions, from cancer and metabolic diseases, to neurological disorders and autism.







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    SpeakerChat for 05/15/20: Spaced Learning – Why It’s So Good & How to Get Started

    We're bringing you something new: SpeakerChat. This event is both a way to revisit some great eLearning Guild content from a recorded session while also […]

    The post SpeakerChat for 05/15/20: Spaced Learning – Why It’s So Good & How to Get Started appeared first on e-Learning Feeds.




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    XR for Learning Weekly – April 29, 2020

    Augmented, Virtual, and other mixed reality technologies are rapidly emerging and advancing, creating new and exciting opportunities for training and education. XR for Learning Weekly […]

    The post XR for Learning Weekly – April 29, 2020 appeared first on e-Learning Feeds.




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    XR for Learning Weekly – April 22, 2020

    Augmented, Virtual, and other mixed reality technologies are rapidly emerging and advancing, creating new and exciting opportunities for training and education. XR for Learning Weekly […]

    The post XR for Learning Weekly – April 22, 2020 appeared first on e-Learning Feeds.




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    SpeakerChat for 05/01/20: Rapid Prototyping for Your eLearning Projects

    We're bringing you something new: SpeakerChat. This event is both a way to revisit some great eLearning Guild content from a recorded session while also […]

    The post SpeakerChat for 05/01/20: Rapid Prototyping for Your eLearning Projects appeared first on e-Learning Feeds.





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    UK nuclear fusion reactor will fire up for the first time in 23 years

    Within months researchers will attempt to create a ball of plasma hotter than the sun inside the Joint European Torus, a doughnut-shaped machine in south-east England




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    Ironbark: Did two spies really prevent all-out nuclear war?

    Ironbark is one of 2020’s anticipated movies. Benedict Cumberbatch plays the MI6 handler of a Russian spy who may have helped prevent nuclear war




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    Places around England compete to host underground nuclear waste dump

    Businesses, individuals with land, and local governments are competing to host an underground nuclear waste facility in the UK, and receive a yearly £2.5 million incentive




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    Chelsea news LIVE: Chilwell makes transfer decision, Onana warning, target learns English



    Chelsea news and gossip is coming in thick and fast so Express Sport is on hand to bring you all the very latest from Stamford Bridge.