bluuebunny/crossref_metadata_2025_split huggingface dataset:
Uptake of nitrogen forms by diploid and triploid white poplar depends on seasonal carbon use strategy and elevated summer ozone
Authors: Wang Miaomiao , Li Guolei , Feng Zhaozhong , Liu Yong , Xu Yansen , Uscola Mercedes 
Published: July 2021

Abstract
The ability of plants to acquire soil nitrogen (N) sources is plastic in response to abiotic and biotic factors. However, information about how plant preferences among N forms changes in response to internal plant N demand through growth phases, or to environmental stress such as ozone (O3), is scarce. Diploid and triploid Chinese white poplar were used to investigate N form preferences at two key developmental periods (spring, summer) and in response to summer O3 (ambient, 60 ppb above ambient). We used stable isotopes to quantify NH4+, NO3− and glycine N-uptake rates. Carbon acquisition was recorded simultaneously. Both ploidy levels differed in growth, N form preferences, and N and C use strategies. Diploid white poplars grew faster in spring but slower in summer compared with triploids. Diploid white poplars also showed plasticity among N form preferences through the season, with no preferences in spring, and NO3− preferred in summer, while triploids showed an overall preference for NO3−. Carbon acquisition and NO3− uptake were inhibited in both ploidy levels of poplar at elevated O3, which also reduced diploid total N uptake. However, triploid white poplars alleviated N uptake reduction, switching to similar preferences among N forms. We conclude that N form preferences by white poplar are driven by internal C and N use in response to nutrient demands, and external factors such as O3.
The quiescent center and root regeneration
Authors: Matosevich Rotem , Efroni Idan 
Published: July 2021

Abstract
Since its discovery by F.A.L Clowes, extensive research has been dedicated to identifying the functions of the quiescent center (QC). One of the earliest hypotheses was that it serves a key role in regeneration of the root meristem. Recent works provided support for this hypothesis and began to elucidate the molecular mechanisms underlying this phenomenon. There are two scenarios to consider when assessing the role of the QC in regeneration: one, when the damage leaves the QC intact; and the other, when the QC itself is destroyed. In the first scenario, multiple factors are recruited to activate QC cell division in order to replace damaged cells, but whether the QC has a role in the second scenario is less clear. Both using gene expression studies and following the cell division pattern have shown that the QC is assembled gradually, only to appear as a coherent identity late in regeneration. Similar late emergence of the QC was observed during the de novo formation of the lateral root meristem. These observations can lead to the conclusion that the QC has no role in regeneration. However, activities normally occurring in QC cells, such as local auxin biosynthesis, are still found during regeneration but occur in different cells in the regenerating meristem. Thus, we explore an alternative hypothesis, that following destruction of the QC, QC-related gene activity is temporarily distributed to other cells in the regenerating meristem, and only coalesce into a distinct cell identity when regeneration is complete.
Serum potassium variability is associated with increased mortality in a large cohort of hospitalized patients
Authors: Lombardi Gianmarco , Gambaro Giovanni , Ferraro Pietro Manuel 
Published: July 2021

ABSTRACT

Background
Few studies have examined that the role of serum potassium concentration [K+] variability on clinical outcomes is still poorly investigated. The aim of our study was to analyse the association between serum ([K+]) disorders, with focus on [K+] variability and mortality in a large, unselected cohort of hospitalized patients.

Methods
We performed a retrospective observational cohort study on the inpatient population admitted to Fondazione Policlinico Universitario A. Gemelli IRCCS between 1 January 2010 and 31 December 2014 with inclusion of adult patients with ≥2 [K+] measurements. The outcome of interest was in-hospital mortality. The exposures of interest were [K+] fluctuations, hypohyperkalaemia and mixed dyskalaemia during hospital stay. [K+] variability was evaluated using the coefficient of variation (CV). Logistic regression models were fitted to obtain odds ratios (ORs) and 95% confidence intervals (CIs) for the association between the exposures of interest and in-hospital death.

Results
Overall, 64 507 patients met our inclusion criteria. During a median follow-up of 8 days, 965 patients (1.5%) died. Multivariable adjusted logistic models suggested a higher risk for death in patients in the third (OR = 1.45, 95% CI 1.13–1.88; P = 0.003) and fourth (OR = 3.30, 95% CI 2.64–4.16; P &lt; 0.001) highest quartiles of [K+] CV compared with those in the lowest quartile with a significant linear trend across quartiles (P-trend &lt;0.001). Results did not change after restricting the analyses to patients with normokalaemia (NK). All [K+] disorders were independently associated with an increased risk of in-hospital death compared with NK.

Conclusions
High [K+] variability is an independent risk factor of in-hospital mortality, even within the normal [K+] range.
Comparison of the effect of lemborexant and other insomnia treatments on driving performance: a systematic review and meta-analysis
Authors: McElroy Heather , O’Leary Beth , Adena Michael , Campbell Renee , Tahami Monfared Amir Abbas , Meier Genevieve 
Published: July 2021

AbstractStudy ObjectivesThis systematic literature review and meta-analysis explored the impact of lemborexant and other insomnia treatments on next-day driving performance.MethodsSearches were conducted in MEDLINE and Embase on May 16, 2019, supplemented by clinical trial registries. Randomized controlled trials in healthy volunteers or people with insomnia were included if they reported a standardized on-road driving test, were published in English and included ≥1 group receiving a recommended dose of flunitrazepam, estazolam, triazolam, temazepam, brotizolam, etizolam, alprazolam, lorazepam, zolpidem, eszopiclone, zaleplon, zopiclone, trazodone, ramelteon, lemborexant, or suvorexant. Pairwise random-effects meta-analyses used the difference between each active treatment and placebo in standard deviation of lateral position (ΔSDLP). ΔSDLP of +2.4 cm, established as equivalent to a blood alcohol concentration of 0.05%, was considered clinically significant.ResultsFourteen studies were included. Clinically significant differences in ΔSDLP were shown in healthy volunteers for zopiclone (10/10 studies) and ramelteon (1/1 study), and in people with insomnia for flunitrazepam (2/3 studies). Premature test termination was reported most frequently for zopiclone (5/10 studies) and was reported in two subjects for suvorexant (1/2 studies), one for flunitrazepam (1/3 studies), and one for placebo (1/12 studies). Lemborexant had no statistically or clinically significant ΔSDLP, and no premature driving test terminations.ConclusionsZopiclone, flunitrazepam, and ramelteon were associated with impaired driving performance, similar to driving under the influence of alcohol. Premature test termination was reported most frequently for zopiclone, and also for suvorexant, flunitrazepam and placebo. Lemborexant had no statistically or clinically significant effect on driving performance.
Ventilation and detection of airborne SARS-CoV-2: elucidating high-risk spaces in naturally ventilated healthcare settings
Authors: Styczynski Ashley , Hemlock Caitlin , Hoque Kazi Injamamul , Verma Renu , LeBoa Chris , Bhuiyan Md. Omar Faruk , Nag Auddithio , Harun Md. Golam Dostogir , Amin Mohammed Badrul , Andrews Jason R. 
Published: July 2021

ABSTRACTBackgroundIn healthcare settings in low- and middle-income countries, which frequently rely upon natural ventilation, the risk of aerosol transmission of SARS-CoV-2 remains poorly understood. We aimed to evaluate the risk of exposure to SARS-CoV-2 in naturally-ventilated hospital settings by measuring parameters of ventilation and comparing these findings with results of bioaerosol sampling.MethodsWe measured outdoor and room CO2 to estimate absolute ventilation (liters per second [L/s]) from 9 hospitals in Bangladesh during October 2020 - February 2021. We estimated infectious risk across different spaces using a modified Wells-Riley equation. We collected air samples from these same spaces at 12.5 L/min over 30 minutes and performed RT-qPCR to detect SARS-CoV-2 N-gene. We used multivariable linear regression and calculated elasticity to identify characteristics associated with ventilation.ResultsBased on ventilation of 86 patient care areas and COVID-19 case numbers, we found that over a 40-hour exposure period, outpatient departments posed the highest median risk for infection (5.4%), followed by COVID intensive care units (1.8%). We detected SARS-CoV-2 RNA in 18.6% (16/86) of air samples. Ceiling height and total open area of doors and windows were found to have the greatest impact on ventilation.ConclusionOur findings provide evidence that naturally-ventilated healthcare settings may pose a high risk for exposure to SARS-CoV-2, particularly among non-COVID designated spaces, but improving parameters of ventilation can mitigate this risk.
The safety and efficacy of mesenchymal stem cells in the treatment of COVID-19-associated pneumonia: a systematic review and meta-analysis
Authors: Junwu Wang , Pengzhi Shi , Dong Chen , Shuguang Wang , Pingchuan Wang , Xinmin Feng , Liang Zhang 
Published: July 2021

AbstractMesenchymal stem cells (MSCs) therapy is considered one of the most promising treatments in the context of the coronavirus disease 2019 (COVID-19) pandemic. However, the safety and effectiveness of MSCs in the treatment of COVID-19-associated pneumonia patients need to be systematically reviewed and analyzed. Two independent researchers searched for the relevant studies published between October 2019 and April 2021 in PubMed, Embase, Cochrane Library, WAN FANG, and CNKI databases. A total of 22 studies involving 371 patients were included in the present study. MSCs were administered in 247 participants, and MSCs were allogeneic from umbilical cord, adipose tissue, menstrual blood, placenta, Wharton’s jelly, or unreported sources. Combined results found that MSCs group significantly reduced the incidence of adverse events (OR = 0.43, 95%CI. = 0.22∼0.84, P = 0.01) and mortality (OR = 0.17, 95%CI. = 0.06∼0.49, P < 0.01), and the difference compared with control group was statistically significant. No MSCs treat-related serious adverse events were reported. The lung function and radiographic outcomes, and biomarker levels of inflammation and immunity all showed improvement trends. Therefore, MSCs therapy is an effective and safe method in the treatment of COVID-19-associated pneumonia and shows advantages in less adverse events and mortality. However, a standard and effective MSCs treatment program needs to be developed.
Detecting phylodiversity-dependent diversification with a general phylogenetic inference framework
Authors: Richter Francisco , Janzen Thijs , Hildenbrandt Hanno , Wit Ernst C. , Etienne Rampal S. 
Published: July 2021

AbstractDiversity-dependent diversification models have been extensively used to study the effect of ecological limits and feedback of community structure on species diversification processes, such as speciation and extinction. Current diversity-dependent diversification models characterise ecological limits by carrying capacities for species richness. Such ecological limits have been justified by niche filling arguments: as species diversity increases, the number of available niches for diversification decreases.However, as species diversify they may diverge from one another phenotypically, which may open new niches for new species. Alternatively, this phenotypic divergence may not affect the species diversification process or even inhibit further diversification. Hence, it seems natural to explore the consequences of phylogenetic diversity-dependent (or phylodiversity-dependent) diversification. Current likelihood methods for estimating diversity-dependent diversification parameters cannot be used for this, as phylodiversity is continuously changing as time progresses and species form and become extinct.Here, we present a new method based on Monte Carlo Expectation-Maximization (MCEM), designed to perform statistical inference on a general class of species diversification models and implemented in the R packageemphasis. We use the method to fit phylodiversity-dependent diversification models to 14 phylogenies, and compare the results to the fit of a richness-dependent diversification model. We find that in a number of phylogenies, phylogenetic divergence indeed spurs speciation even though species richness reduces it. Not only do we thus shine a new light on diversity-dependent diversification, we also argue that our inference framework can handle a large class of diversification models for which currently no inference method exists.
Atypical gaze patterns in autism are heterogeneous across subjects but reliable within individuals
Authors: Keles Umit , Kliemann Dorit , Byrge Lisa , Saarimäki Heini , Paul Lynn K. , Kennedy Daniel P. , Adolphs Ralph 
Published: July 2021

SummaryPeople with autism spectrum disorder (ASD) have atypical gaze onto both static visual images1,2and dynamic videos3,4that could be leveraged for diagnostic purposes5,6. Eye tracking is important for characterizing ASD across the lifespan7and nowadays feasible at home (e.g., from smartphones8). Yet gaze-based classification has been difficult to achieve, due to sources of variance both across and within subjects. Here we test three competing hypotheses: (a) that ASD could be successfully classified from the fact that gaze patterns are less reliable or noisier than in controls, (b) that gaze patterns are atypical and heterogeneous across ASD subjects but reliable over time within a subject, or (c) that gaze patterns are individually reliable and also homogenous among individuals with ASD. Leveraging dense eye tracking data from two different full-length television sitcom episodes in a total of over 150 subjects (N = 53 ASD, 107 controls) collected at two different sites, we demonstrate support for the second of these hypotheses. The findings pave the way for the investigation of autism subtypes, and for elucidating the specific visual features that best discriminate gaze patterns — directions that will also inform neuroimaging and genetic studies of this complex disorder.
Dasabuvir inhibits human norovirus infection in human intestinal enteroids
Authors: Hayashi Tsuyoshi , Murakami Kosuke , Hirano Junki , Fujii Yoshiki , Yamaoka Yoko , Ohashi Hirofumi , Watashi Koichi , Estes Mary K. , Muramatsu Masamichi 
Published: July 2021

AbstractHuman noroviruses (HuNoVs) are acute viral gastroenteritis pathogens that affect all age groups, yet no approved vaccines and drugs to treat HuNoV infection are available. In this study, with a human intestinal enteroid (HIE) culture system where HuNoVs are able to replicate reproducibly, we screened an antiviral compound library to identify compound(s) showing anti-HuNoV activity. Dasabuvir, which has been developed as an anti-hepatitis C virus agent, was found to inhibit HuNoV infection in HIEs at micromolar concentrations. Dasabuvir also inhibited severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and human A rotavirus (RVA) infection in HIEs. To our knowledge, this is the first study to screen an antiviral compound library for HuNoV using HIEs and we successfully identified dasabuvir as a novel anti-HuNoV inhibitor that warrants further investigation.
Dissociation of β2m from MHC Class I Triggers Formation of Noncovalent, Transient Heavy Chain Dimers
Authors: Dirscherl Cindy , Löchte Sara , Hein Zeynep , Kopicki Janine-Denise , Harders Antonia Regina , Linden Noemi , Karner Andreas , Preiner Johannes , Weghuber Julian , Garcia-Alai Maria , Uetrecht Charlotte , Zacharias Martin , Piehler Jacob , Lanzerstorfer Peter , Springer Sebastian 
Published: July 2021

AbstractAt the plasma membrane of mammalian cells, major histocompatibility complex class I molecules (MHC-I) present antigenic peptides to cytotoxic T cells. Following the loss of the peptide and the light chain beta-2 microglobulin (β2m), the resulting free heavy chains (FHCs) can associate into homotypic complexes in the plasma membrane. Here, we investigate the stoichiometry and dynamics of MHC-I FHCs assemblies by combining a micropattern assay with fluorescence recovery after photobleaching (FRAP) and with single molecule co-tracking. We identify non-covalent MHC-I FHC dimers mediated by the α3domain as the prevalent species at the plasma membrane, leading a moderate decrease in the diffusion coefficient. MHC-I FHC dimers show increased tendency to cluster into higher order oligomers as concluded from an increased immobile fraction with higher single molecule co-localization. Invitrostudies with isolated proteins in conjunction with molecular docking and dynamics simulations suggest that in the complexes, the α3domain of one FHC binds to another FHC in a manner similar to the β2m light chain.Significance StatementMHC class I molecules are cell surface transmembrane proteins with key functions in adaptive immunity against viral infections. The spatiotemporal organization of fully assembled MHC I at the cell surface and its function with respect to trans-interactions with T and NK cells has been studied in detail. By contrast, the consequences of peptide and β2m dissociation yielding to formation of free heavy chains (FHC) have remained unclear. We have discovered that class I free heavy chains form distinct non-covalent dimers at the cell surface rather than non-specific clustering, and we have identified a dimerization interface mediated by the α3domain. We propose that these non-covalent dimers are the basis of distinct signaling and endocytic sorting of MHC I FHC. This is to be explored in further work.
Exploring the Interactome of Cytochrome P450 2E1 in Human Liver Microsomes with Chemical Crosslinking Mass Spectrometry
Authors: Davydov Dmitri R. , Dangi Bikash , Yue Guihua , Prasad Bhagwat , Zgoda Victor G. 
Published: July 2021

ABSTRACTAiming to elucidate the grounds of system-wide effects of the alcohol-induced increase in the content of cytochrome P450 2E1 (CYP2E1) on drug metabolism, we explored the array of its protein-protein interactions (proteome) in human liver microsomes (HLM) with chemical crosslinking mass spectrometry (CXMS). Our strategy employs membrane incorporation of purified CYP2E1 modified with photoreactive crosslinkers benzophenone-4-maleimide (BPM) and 4-(N-succinimidylcarboxy)benzophenone (BPS). Exposure of bait-incorporated HLM samples to light was followed by isolating the His-tagged bait protein and its crosslinked aggregates on Ni-NTA agarose. Analyzing the individual bands of SDS-PAGE slabs of thereby isolated protein with the toolset of untargeted proteomics, we detected the crosslinked dimeric and trimeric complexes of CYP2E1 with other drug-metabolizing enzymes. Among the most extensively crosslinked partners of CYP2E1 are the cytochromes P450 2A6, 2C8, 3A4, 4A11, and 4F2. Of particular interest are the interactions of CYP2E1 with the latter two enzymes, which are involved in the synthesis and disposal of vasoactive and pro-inflammatory eicosanoids. We also detected the conjugates of CYP2E1 with UDP-glucuronosyltransferases (UGTs) 1A and 2B, fatty aldehyde dehydrogenase (ALDH3A2), epoxide hydrolase 1 (EPHX1), disulfide oxidase 1α (ERO1L), and ribophorin II (RPN2). These results demonstrate the exploratory power of the proposed CXMS strategy and corroborate the concept of tight functional integration in the human drug-metabolizing ensemble through protein-protein interactions of the constituting enzymes.
Impact of overconfidence bias in stock trading approach: a study of high net worth individual (HNI) stock investors in India
Authors: Parhi Shiba Prasad , Pal Manas Kumar 
Published: July 2021

PurposeThe purpose of the study is to check whether Indian high net worth individual (HNI) investors are suffering from overconfidence bias in personal life and in-stock investment approach. The study is to benchmark an ideal behaviour that an investor should exhibit under the overconfidence bias.Design/methodology/approachBoth qualitative and quantitative methods were used to study the Indian HNI investors with overconfidence bias. As a first step, an exploratory study was conducted to identify the variables to define overconfidence bias. An extensive literature review along with in-depth interviews was conducted amongst investors, fund managers and the subject experts to check the content validity of the variables. The survey instrument was designed based on the objective of the study and theoretical framework. Both descriptive and inferential statistical tools such as the Z proportion test, logistic regression and structural equation model were applied to test the hypotheses.FindingsIt was found that there is a moderate impact of overconfidence bias amongst the investors both in normal life and whilst making investments in stock. This study found the influence of overconfidence bias in stock investment with respect to forecasting of the stock price movements, overtrading, overanalysis and overreaction.Research limitations/implicationsThis paper will help in understanding the Indian HNI investors’ behaviour under the impact of overconfidence bias. There is an empirical study to understand the implication of overconfidence bias on stock investors specifically for the HNI investors.Practical implicationsThis study gives an insight into the fund managers to understand the Indian HNI investment behaviour. It is also helpful for HNI investors to understand and correct their behavioural biases related to overconfidence.Social implicationsThis paper will guide investors to understand the symptoms and repercussions of overconfidence bias in stock investment. They can also realize the subtle impact of overconfidence bias in personal and professional life, thus preventing them from making losses.Originality/valueThis work is the extension of the works of Terrace Odean on behavioural finance in the Indian Stock Investors' context. The concept of overconfidence bias and its implications of finance were developed by Kahneman and Tversky, and later by other behavioural finance researchers such as Malmendier, Hirshleifer, DeBondt, Odean, Barber, Shefrin and others. This paper studies stock investing behaviour with specific reference to Indian HNI investors.