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Azimuthal angular correlation of J/ψ plus jet production at the electron-ion collider
Get PDFBy investigating the soft gluon radiation in the plus jet photoproduction at the electron-ion collider (EIC), we demonstrate that the azimuthal angular correlations between the leading jet and heavy quarkonium provide a unique probe to the production mechanism of the latter. In particular, a significant asymmetry is found for the color-singlet channel, whereas it vanishes or has an opposite sign for color-octet production, depending on the jet transverse momentum. Numerical results of and asymmetries employing both the color-singlet model and the nonrelativistic QCD approach are presented for typical kinematics at the future EIC. Published by the American Physical Society 202
Sequence specificity of an essential nuclear localization sequence in Mcm3
No full textProteins with nuclear localization sequences (NLSs) are directed into the cell nucleus through interactions between the NLS and importin proteins. NLSs are generally short motifs rich in basic amino acids; however, identifying NLSs can be challenging due to the lack of a universally conserved sequence. In this study, we characterized the sequence specificity of an essential and conserved NLS in Mcm3, a subunit of the replicative DNA helicase. Through mutagenesis and AlphaFold 3 (AF3) modeling, we demonstrate that the precise positioning of basic residues within the NLS is critical for nuclear transport of Mcm3 through optimal interactions with importin. Disrupting these interactions impairs the nuclear import of Mcm3, resulting in defective chromatin loading of the MCM complex and poor cell growth. Our results provide a structure-guided framework for predicting and analyzing monopartite NLSs, which, despite lacking a single consensus sequence, retain key characteristics shared between the NLSs of Mcm3 and the SV40 large T antigen
Relationships between structural stigma, societal stigma, and minority stress among gender minority people
Get PDFStructural stigma towards gender minority (GM; people whose current gender does not align with sex assigned at birth) people is an important contributor to minority stress (i.e., stress experienced due to one’s marginalized GM identity), although existing variables are unclear in their inclusion of social norms, or societal stigma, as a key component of the construct. We examined potential variables representing structural stigma, including variables that are inclusive of societal stigma, to identify those that most strongly relate to minority stress outcomes. We tested variables identified in the literature as measures of structural stigma inclusive of societal stigma (LGBT + Business Climate Index, state voting behaviors, and Google Trends search data), the most commonly used structural stigma variable (State Policy Environment Tally), and proxy variables (region, population density) for comparison. The relationships between structural stigma and minority stress model outcomes were tested in a sample of GM participants from The Population Research in Identity and Disparities for Equality (PRIDE) Study (N = 2,094) 2019 Annual Questionnaire using a structural equation model (SEM). Lower structural stigma (i.e., higher LGBT Business Climate Index) was associated with lower experienced stigma (β= -0.260, p < .01) and lower anticipated stigma (β= -0.433, p < .001). Greater conservative voting behavior was associated with less experienced stigma (β= -0.103, p < .01). Living in a more densely populated county was also associated with lower anticipated stigma (β=-0.108, p < .001) and greater identity outness (β = 0.053, p < .05). Two of the identified structural stigma variables that were inclusive of societal stigma (i.e., LGBT + Business Climate Index, conservative voting behaviors) and one proxy variable (population density) were associated with minority stress outcomes. However, the most commonly used variable for structural stigma (State Policy Environment Tally) was not associated with any outcomes. The State LGBT + Business Climate Index showed the most promise for use as a structural stigma variable in future research. The application of this variable should be investigated further to explore its association with health outcomes and to inform efforts to reduce health equity barriers experienced by GM people through addressing structural stigma in a manner inclusive of societal stigma
Enterococcus and Eggerthella species are enriched in the gut microbiomes of COVID-19 cases in Uganda.
Get PDFBACKGROUND: Infection with the COVID-19-causing pathogen SARS-CoV-2 is associated with disruption in the human gut microbiome. The gut microbiome enables protection against diverse pathogens and exhibits dysbiosis during infectious and autoimmune disease. Studies based in the United States and China have found that severe COVID-19 cases have altered gut microbiome composition when compared to mild COVID-19 cases. We present the first study to investigate the gut microbiome composition of COVID-19 cases in a population from Sub-Saharan Africa. Given the impact of geography and cultural traditions on microbiome composition, it is important to investigate the microbiome globally and not draw broad conclusions from homogenous populations. RESULTS: We used stool samples in a Ugandan biobank collected from COVID-19 cases during 2020-2022. We profiled the gut microbiomes of 83 symptomatic individuals who tested positive for SARS-CoV-2 along with 43 household contacts who did not present any symptoms of COVID-19. The inclusion of healthy controls enables us to generate hypotheses about bacterial strains potentially related to susceptibility to COVID-19 disease, which is highly heterogeneous. Comparison of the COVID-19 patients and their household contacts revealed decreased alpha diversity and blooms of Enterococcus and Eggerthella in COVID-19 cases. CONCLUSIONS: Our study finds that the microbiome of COVID-19 individuals is more likely to be disrupted, as indicated by decreased diversity and increased pathobiont levels. This is either a consequence of the disease or may indicate that certain microbiome states increase susceptibility to COVID-19 disease. Our findings enable comparison with cohorts previously published in the Global North, as well as support new hypotheses about the interaction between the gut microbiome and SARS-CoV-2 infection
Metal-ligand cooperativity enables zero-valent metal transfer.
Get PDFGroup 13 aminoxy complexes of the form (L)E(TEMPO)3 (TEMPO = 2,2,6,6-tetramethylpiperidine 1-oxyl; L = THF (tetrahydrofuran) or Py (pyridine); E = Al, Ga, In) were prepared and structurally characterized. The complexes (THF)Ga(TEMPO)3 (1·THF) and (Py)In(TEMPO)3 (2·Py) are shown to heterolytically cleave H2 under mild conditions (3 atm, 20 °C, t ≤ 1 h). 1·THF reacts reversibly with H2 to form a formal H2-adduct that bears a Ga(iii) hydride site and a protonated TEMPO ligand with concomitant loss of THF, consistent with Ga(iii) and TEMPO functioning as Lewis acid and base, respectively. Conversely, 2·Py is reduced by H2 to form an intermediate dimer complex of monovalent {In(TEMPO)}2, which undergoes further reactivity with H2 to form elemental indium as determined by powder X-ray diffraction. Treatment of 2·Py with H2 and Ph3PSe forms binary InSe, in addition to Ph3P and TEMPOH, demonstrating that 2·Py functions as a molecular source of zero-valent indium under mildly reducing conditions. Computational studies support an intramolecular metal-ligand cooperativity pathway in the heterolytic cleavage of H2
Analysis of the Highest Altmetrics-scored Articles in Emergency Medicine Journals
Get PDFIntroduction: Alternative metrics (altmetrics) have emerged as invaluable tools for assessing the influence of scholarly articles. In this study we aimed to evaluate correlations between Altmetric Attention Scores (AAS), and sources and actual citations in articles displaying the highest AAS within emergency medicine (EM) journals.
Methods: We conducted an analysis of EM journals listed in the Science Citation Index Expanded (SCIE) using the Altmetric Explorer tool. We analyzed the journals that received the highest number of mentions, the sources of AAS, the regions most frequently mentioned, and the geographical distribution of mentions. In the subsequent stage of our analysis, we conducted an examination of the 200 top-ranked articles that had received high AAS and were published in SCIE EM journals from January 1, 2013–January 1, 2023. We sought to determine the correlations between the AAS and the citation counts of articles on Google Scholar and the Web of Science (WOS).
Results: Of 40,840 research outputs evaluated, there were 510,047 shares across multiple platforms. The AAS were present for 36,719 articles (89.9%), while 10.1% had no score. In the review of the top 200 articles with the highest AAS, the median score was 382.5 (interquartile range 301.3–510.8). Of the research output evaluated, 38% were observational studies, 13% case reports, and 13% reviews/meta-analyses. The most common research topics were emergency department (ED) management and COVID-19. There was no correlation between AAS and WOS citation numbers (rs = −0.041, P = 0.563, 95% confidence interval [CI] −0.175–0.087). There was a weak correlation identified between WOS citations and mentions on X, and a moderate correlation observed for WOS citations and blog mentions(rs = 0.330, P < .001, 95% CI 0.174 to 0.458; rs2 = 0.109, and rs = 0.452, P < .001, 95% CI 0.320–0.566; and rs2 = 0.204, respectively). However, we found a strong positive correlation between WOS citations and the number of Mendeley readers (rs = 0.873, P < .001, 95% CI 0.82–0.911, rs2 = 0.762).
Conclusion: While most articles in EM journals received an AAS, we found no correlation with traditional citation metrics. However, Mendeley readership numbers showed a strong positive correlation with citation counts, suggesting that academic platform engagement may better predict scholarly impact
Novel Bat-Monitoring Dataset Reveals Targeted Foraging With Agricultural and Pest Control Implications.
Get PDFQuantifying ecosystem services provided by mobile species like insectivorous bats remains a challenge, particularly in understanding where and how these services vary over space and time. Bats are known to offer valuable ecosystem services, such as mitigating insect pest damage to crops, reducing pesticide use, and reducing nuisance pest populations. However, determining where bats forage is difficult to monitor. In this study, we use a weather-radar-based bat-monitoring algorithm to estimate bat foraging distributions during the peak season of 2019 in Californias Northern Central Valley. This region is characterized by valuable agricultural crops and significant populations of both crop and nuisance pests, including midges, moths, mosquitos, and flies. Our results show that bat activity is high but unevenly distributed, with rice fields experiencing significantly elevated activity compared to other land cover types. Specifically, bat activity over rice fields is 1.5 times higher than over any other land cover class and nearly double that of any other agricultural land cover. While irrigated rice fields may provide abundant prey, wetland and water areas showed less than half the bat activity per hectare compared to rice fields. Controlling for land cover type, we found bat activity significantly associated with higher flying insect abundance, indicating that bats forage in areas where crop and nuisance pests are likely to be found. This study demonstrates the effectiveness of radar-based bat monitoring in identifying where and when bats provide ecosystem services
Distressing dreams in trauma survivors: using a sleep diary mobile app to reveal distressing dream characteristics and their relationship to symptoms and suicidal ideation in trauma-exposed adults.
Get PDFSTUDY OBJECTIVES: Trauma nightmares are a core feature of PTSD, with potentially devastating implications for mental health outcomes. Treatments remain unsatisfactory and nightmares are poorly understood, both biologically and phenomenologically; measurement methods are limited. The aims of the current analyses were to (1) characterize distressing dreams in trauma survivors, (2) examine the relationships of dream features to next-day symptoms and to suicidal ideation, and (3) validate sleep diary mobile app items for the measurement of clinically relevant dream characteristics. METHODS: Adult male and female veterans and nonveterans with a history of PTSD criterion trauma and at least 1 nightmare weekly were enrolled. Participants completed 3 weeks of sleep diary, including bedtime and morning surveys and weekly assessments. They also completed a Clinician-Administered PTSD Scale (CAPS)-5 PTSD assessment. Multivariable mixed models with repeated measures and standard regression were utilized to examine relationships between dream features and next-day symptoms and suicidal ideation. RESULTS: Dream features and dream distress independently predict clinically relevant outcomes; no single feature was sufficient for predicting all outcomes of interest. In particular, the replicative quality of trauma nightmares stood out in terms of associations with next-day symptoms, CAPS severity, and suicidal ideation. Subjective dream duration, extent of postdream arousal, and subjective distress severity also independently predicted daytime symptoms. CONCLUSIONS: Results underscore the importance of examining dream characteristics to understand nightmare effects and associations with suicidal ideation. These findings also underscore the utility of mobile app technology for obtaining informative data with high temporal resolution in an appealing and user-friendly manner
Overview of Alzheimer's Disease Neuroimaging Initiative and future clinical trials
Get PDFThe overall goal of the Alzheimer's Disease Neuroimaging Initiative (ADNI) is to optimize and validate biomarkers for clinical trials while sharing all data and biofluid samples with the global scientific community. ADNI has been instrumental in standardizing and validating amyloid beta (Aβ) and tau positron emission tomography (PET) imaging. ADNI data were used for the US Food and Drug Administration (FDA) approval of the Fujirebio and Roche Elecsys cerebrospinal fluid diagnostic tests. Additionally, ADNI provided data for the trials of the FDA-approved treatments aducanumab, lecanemab, and donanemab. More than 6000 scientific papers have been published using ADNI data, reflecting ADNI's promotion of open science and data sharing. Despite its enormous success, ADNI has some limitations, particularly in generalizing its data and findings to the entire US/Canadian population. This introduction provides a historical overview of ADNI and highlights its significant accomplishments and future vision to pioneer "the clinical trial of the future" focusing on demographic inclusivity. HIGHLIGHTS: The Alzheimer's Disease Neuroimaging Initiative (ADNI) introduced a novel model for public-private partnerships and data sharing. It successfully validated amyloid and Tau PET imaging, as well as CSF and plasma biomarkers, for diagnosing Alzheimer's disease. ADNI generated and disseminated vital data for designing AD clinical trials
Nutritional Optimization of the Surgical Patient: A Narrative Review.
Get PDFAn increasing body of literature supports the clinical benefit of nutritional assessment and optimization in surgical patients; however, this data has yet to be consolidated in a practical fashion for use by surgeons. In this narrative review, we concisely aggregate emerging data to highlight the role of nutritional optimization as a promising, practical perioperative intervention to reduce complications and improve outcomes in surgical patients. This review of the surgical nutrition literature was conducted via large database review. There were no distinct inclusion/exclusion criteria for this review; however, we focused on adult populations using up-to-date literature from high-quality systematic reviews or randomized controlled trials when available. Current perioperative management focuses on the mitigation of intraoperative and immediate postoperative complications. Well-defined risk calculators attempt to stratify patient surgical risk preoperatively to reduce adverse events directly related to surgical procedures, such as hemorrhage, cardiopulmonary compromise, or infection. However, there is a lack of standardization of prognostic tools, nutritional protocols, and guidelines governing the assessment, composition, and administration of nutritional supplementation. Substantial data exist demonstrating the clinical benefit in the operative setting. In this work, we provide a fundamental primer for surgeons to understand the clinical importance of nutritional optimization along with practical prognostic tools and recommendations for use in their practice. While the extent to which nutritional optimization improves patient outcomes is debatable, the evidence clearly demonstrates a clinically meaningful benefit. Evaluating nutritional status differs based on disease severity and etiology of presentation, thus surgeons must select the appropriate prognostic tools to assess their patients during the perioperative period. This information will catalyze subsequent work with a multidisciplinary team to provide personalized dietary plans for patients and spark research to establish protocols for specific presentations