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Showing papers by "University of Melbourne published in 2021"


Journal ArticleDOI
TL;DR: The content of these European Society of Cardiology (ESC) Guidelines has been published for personal and educational use only and no commercial use is authorized.
Abstract: Supplementary Table 9, column 'Edoxaban', row 'eGFR category', '95 mL/min' (page 15). The cell should be coloured green instead of yellow. It should also read "60 mg"instead of "60 mg (use with caution in 'supranormal' renal function)."In the above-indicated cell, a footnote has also been added to state: "Edoxaban should be used in patients with high creatinine clearance only after a careful evaluation of the individual thromboembolic and bleeding risk."Supplementary Table 9, column 'Edoxaban', row 'Dose reduction in selected patients' (page 16). The cell should read "Edoxaban 60 mg reduced to 30 mg once daily if any of the following: creatinine clearance 15-50 mL/min, body weight <60 kg, concomitant use of dronedarone, erythromycin, ciclosporine or ketokonazole"instead of "Edoxaban 60 mg reduced to 30 mg once daily, and edoxaban 30 mg reduced to 15mg once daily, if any of the following: creatinine clearance of 30-50 mL/min, body weight <60 kg, concomitant us of verapamil or quinidine or dronedarone."

4,285 citations


Journal ArticleDOI
TL;DR: It is shown that neutralization level is highly predictive of immune protection, and an evidence-based model of SARS-CoV-2 immune protection that will assist in developing vaccine strategies to control the future trajectory of the pandemic is provided.
Abstract: Predictive models of immune protection from COVID-19 are urgently needed to identify correlates of protection to assist in the future deployment of vaccines. To address this, we analyzed the relationship between in vitro neutralization levels and the observed protection from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using data from seven current vaccines and from convalescent cohorts. We estimated the neutralization level for 50% protection against detectable SARS-CoV-2 infection to be 20.2% of the mean convalescent level (95% confidence interval (CI) = 14.4–28.4%). The estimated neutralization level required for 50% protection from severe infection was significantly lower (3% of the mean convalescent level; 95% CI = 0.7–13%, P = 0.0004). Modeling of the decay of the neutralization titer over the first 250 d after immunization predicts that a significant loss in protection from SARS-CoV-2 infection will occur, although protection from severe disease should be largely retained. Neutralization titers against some SARS-CoV-2 variants of concern are reduced compared with the vaccine strain, and our model predicts the relationship between neutralization and efficacy against viral variants. Here, we show that neutralization level is highly predictive of immune protection, and provide an evidence-based model of SARS-CoV-2 immune protection that will assist in developing vaccine strategies to control the future trajectory of the pandemic. Estimates of the levels of neutralizing antibodies necessary for protection against symptomatic SARS-CoV-2 or severe COVID-19 are a fraction of the mean level in convalescent serum and will be useful in guiding vaccine rollouts.

2,705 citations


Journal ArticleDOI
TL;DR: In this article, the authors present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes.
Abstract: In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.

1,129 citations


Journal ArticleDOI
Nick Watts1, Markus Amann2, Nigel W. Arnell3, Sonja Ayeb-Karlsson4, Jessica Beagley1, Kristine Belesova5, Maxwell T. Boykoff6, Peter Byass7, Wenjia Cai8, Diarmid Campbell-Lendrum9, Stuart Capstick10, Jonathan Chambers11, Samantha Coleman1, Carole Dalin1, Meaghan Daly12, Niheer Dasandi13, Shouro Dasgupta, Michael Davies1, Claudia Di Napoli3, Paula Dominguez-Salas5, Paul Drummond1, Robert Dubrow14, Kristie L. Ebi15, Matthew J. Eckelman16, Paul Ekins1, Luis E. Escobar17, Lucien Georgeson18, Su Golder19, Delia Grace20, Hilary Graham12, Paul Haggar10, Ian Hamilton1, Stella M. Hartinger21, Jeremy J. Hess15, Shih Che Hsu1, Nick Hughes1, Slava Mikhaylov, Marcia P. Jimenez22, Ilan Kelman1, Harry Kennard1, Gregor Kiesewetter2, Patrick L. Kinney23, Tord Kjellstrom, Dominic Kniveton24, Pete Lampard19, Bruno Lemke25, Yang Liu26, Zhao Liu8, Melissa C. Lott27, Rachel Lowe5, Jaime Martinez-Urtaza28, Mark A. Maslin1, Lucy McAllister29, Alice McGushin1, Celia McMichael30, James Milner5, Maziar Moradi-Lakeh31, Karyn Morrissey32, Simon Munzert, Kris A. Murray33, Kris A. Murray5, Tara Neville9, Maria Nilsson7, Maquins Odhiambo Sewe7, Tadj Oreszczyn1, Matthias Otto25, Fereidoon Owfi, Olivia Pearman6, David Pencheon32, Ruth Quinn34, Mahnaz Rabbaniha, Elizabeth J. Z. Robinson3, Joacim Rocklöv7, Marina Romanello1, Jan C. Semenza35, Jodi D. Sherman14, Liuhua Shi, Marco Springmann18, Meisam Tabatabaei36, Jonathon Taylor, Joaquin Trinanes37, Joy Shumake-Guillemot, Bryan N. Vu26, Paul Wilkinson5, Matthew Winning1, Peng Gong8, Hugh Montgomery1, Anthony Costello1 
TL;DR: TRANSLATIONS For the Chinese, French, German, and Spanish translations of the abstract see Supplementary Materials section.

886 citations


Journal ArticleDOI
TL;DR: A broad-scope overview provides an integrative approach for considering the implications of COVID-19 for work, workers, and organizations while also identifying issues for future research and insights to inform solutions.
Abstract: The impacts of COVID-19 on workers and workplaces across the globe have been dramatic. This broad review of prior research rooted in work and organizational psychology, and related fields, is intended to make sense of the implications for employees, teams, and work organizations. This review and preview of relevant literatures focuses on (a) emergent changes in work practices (e.g., working from home, virtual teamwork) and (b) emergent changes for workers (e.g., social distancing, stress, and unemployment). In addition, potential moderating factors (demographic characteristics, individual differences, and organizational norms) are examined given the likelihood that COVID-19 will generate disparate effects. This broad-scope overview provides an integrative approach for considering the implications of COVID-19 for work, workers, and organizations while also identifying issues for future research and insights to inform solutions. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

654 citations


Journal ArticleDOI
TL;DR: It is found that mothers with young children have reduced their work hours four to five times more than fathers, indicating yet another negative consequence of the COVID‐19 pandemic, highlighting the challenges it poses to women's work hours and employment.
Abstract: School and daycare closures due to the COVID-19 pandemic have increased caregiving responsibilities for working parents As a result, many have changed their work hours to meet these growing demands In this study, we use panel data from the US Current Population Survey to examine changes in mothers' and fathers' work hours from February through April, 2020, the period of time prior to the widespread COVID-19 outbreak in the US and through its first peak Using person-level fixed effects models, we find that mothers with young children have reduced their work hours four to five times more than fathers Consequently, the gender gap in work hours has grown by 20 to 50 percent These findings indicate yet another negative consequence of the COVID-19 pandemic, highlighting the challenges it poses to women's work hours and employment

641 citations


Journal ArticleDOI
TL;DR: The regulation of gene expression by coding and non-coding RNA is introduced and both established and emerging roles for RNAs in cancer are discussed, highlighting the potential mechanisms by which these RNA subtypes contribute to cancer.
Abstract: While the processing of mRNA is essential for gene expression, recent findings have highlighted that RNA processing is systematically altered in cancer. Mutations in RNA splicing factor genes and the shortening of 3' untranslated regions are widely observed. Moreover, evidence is accumulating that other types of RNAs, including circular RNAs, can contribute to tumorigenesis. In this Review, we highlight how altered processing or activity of coding and non-coding RNAs contributes to cancer. We introduce the regulation of gene expression by coding and non-coding RNA and discuss both established roles (microRNAs and long non-coding RNAs) and emerging roles (selective mRNA processing and circular RNAs) for RNAs, highlighting the potential mechanisms by which these RNA subtypes contribute to cancer. The widespread alteration of coding and non-coding RNA demonstrates that altered RNA biogenesis contributes to multiple hallmarks of cancer.

582 citations


Journal ArticleDOI
Marina Romanello1, Alice McGushin1, Claudia Di Napoli2, Paul Drummond1, Nick Hughes1, Louis Jamart1, Harry Kennard1, Pete Lampard3, Baltazar Solano Rodriguez1, Nigel W. Arnell2, Sonja Ayeb-Karlsson4, Kristine Belesova5, Wenjia Cai6, Diarmid Campbell-Lendrum7, Stuart Capstick8, Jonathan Chambers7, Lingzhi Chu9, Luisa Ciampi2, Carole Dalin1, Niheer Dasandi10, Shouro Dasgupta, Michael Davies1, Paula Dominguez-Salas11, Robert Dubrow9, Kristie L. Ebi12, Matthew J. Eckelman13, Paul Ekins1, Luis E. Escobar14, Lucien Georgeson1, Delia Grace15, Hilary Graham3, Samuel H Gunther16, Stella M. Hartinger17, Kehan He1, Clare Heaviside1, Jeremy J. Hess12, Shih Che Hsu1, Slava Jankin, Marcia P. Jimenez18, Ilan Kelman1, Gregor Kiesewetter19, Patrick L. Kinney20, Tord Kjellstrom, Dominic Kniveton21, Jason Kai Wei Lee16, Bruno Lemke22, Yang Liu23, Zhao Liu6, Melissa C. Lott24, Rachel Lowe5, Jaime Martinez-Urtaza25, Mark A. Maslin1, Lucy McAllister26, Celia McMichael27, Zhifu Mi1, James Milner5, Kelton Minor28, Nahid Mohajeri1, Maziar Moradi-Lakeh29, Karyn Morrissey30, Simon Munzert, Kris A. Murray5, Tara Neville7, Maria Nilsson31, Nick Obradovich32, Maquins Odhiambo Sewe31, Tadj Oreszczyn1, Matthias Otto22, Fereidoon Owfi, Olivia Pearman33, David Pencheon34, Mahnaz Rabbaniha, Elizabeth J. Z. Robinson2, Joacim Rocklöv31, Renee N Salas18, Jan C. Semenza, Jodi D. Sherman9, Liuhua Shi23, Marco Springmann35, Meisam Tabatabaei36, Jonathon Taylor, Joaquin Trinanes37, Joy Shumake-Guillemot, Bryan N. Vu23, Fabian Wagner19, Paul Wilkinson5, Matthew Winning1, Marisol Yglesias17, Shihui Zhang6, Peng Gong38, Hugh Montgomery1, Anthony Costello1, Ian Hamilton1 
TL;DR: The 2021 report of the Lancet Countdown on health and climate change : code red for a healthy future as mentioned in this paper, is the most recent publication of the Countdown on Health and Climate Change, 2019.

491 citations


Journal ArticleDOI
Richard J. Abbott1, T. D. Abbott2, Sheelu Abraham3, Fausto Acernese4  +1428 moreInstitutions (155)
TL;DR: In this article, the population of 47 compact binary mergers detected with a false-alarm rate of 0.614 were dynamically assembled, and the authors found that the BBH rate likely increases with redshift, but not faster than the star formation rate.
Abstract: We report on the population of 47 compact binary mergers detected with a false-alarm rate of 0.01 are dynamically assembled. Third, we estimate merger rates, finding RBBH = 23.9-+8.614.3 Gpc-3 yr-1 for BBHs and RBNS = 320-+240490 Gpc-3 yr-1 for binary neutron stars. We find that the BBH rate likely increases with redshift (85% credibility) but not faster than the star formation rate (86% credibility). Additionally, we examine recent exceptional events in the context of our population models, finding that the asymmetric masses of GW190412 and the high component masses of GW190521 are consistent with our models, but the low secondary mass of GW190814 makes it an outlier.

468 citations


Journal ArticleDOI
Matthew J. Burton1, Matthew J. Burton2, Jacqueline Ramke3, Jacqueline Ramke2, Ana Patrícia Marques2, Rupert R A Bourne4, Rupert R A Bourne5, Nathan Congdon6, Nathan Congdon7, Iain Jones, Brandon A M Ah Tong8, Simon Arunga2, Simon Arunga9, Damodar Bachani10, Covadonga Bascaran2, Andrew Bastawrous2, Karl Blanchet11, Tasanee Braithwaite12, Tasanee Braithwaite2, John Buchan2, John Buchan13, John Cairns2, Anasaini Cama14, Margarida Chagunda, Chimgee Chuluunkhuu15, Andrew Cooper, Jessica Crofts-Lawrence16, William H. Dean17, William H. Dean2, Alastair K Denniston1, Alastair K Denniston18, Joshua R. Ehrlich19, Paul M. Emerson20, Jennifer R Evans2, Kevin D. Frick21, David S. Friedman22, João M. Furtado23, Gichangi M, Stephen Gichuhi24, Suzanne Gilbert25, Reeta Gurung26, Esmael Habtamu2, Peter Holland16, Jost B. Jonas27, Pearse A. Keane1, Lisa Keay28, Lisa Keay29, Rohit C Khanna30, Rohit C Khanna28, Peng T. Khaw1, Hannah Kuper2, Fatima Kyari2, Fatima Kyari31, Van C. Lansingh, Islay Mactaggart2, Milka Madaha Mafwiri32, Wanjiku Mathenge33, Ian McCormick2, Priya Morjaria2, L Mowatt34, Debbie Muirhead8, Debbie Muirhead35, Gudlavalleti V S Murthy2, Nyawira Mwangi36, Nyawira Mwangi2, Daksha B Patel2, Tunde Peto7, Babar Qureshi, Solange Rios Salomão37, Virginia Sarah8, Bernadetha R Shilio, Anthony W. Solomon, Bonnielin K. Swenor21, Hugh R. Taylor35, Ningli Wang38, Aubrey Webson, Sheila K. West21, Tien Yin Wong39, Tien Yin Wong40, Richard Wormald2, Richard Wormald1, Sumrana Yasmin, Mayinuer Yusufu38, Juan Carlos Silva41, Serge Resnikoff42, Serge Resnikoff28, Thulasiraj Ravilla, Clare Gilbert2, Allen Foster2, Hannah Faal43 
TL;DR: In this paper, the authors defined eye health as maximised vision, ocular health, and functional ability, thereby contributing to overall health and wellbeing, social inclusion, and quality of life.

435 citations


Journal ArticleDOI
TL;DR: The authors performed a genome-wide association study of 41,917 bipolar disorder cases and 371,549 controls of European ancestry, which identified 64 associated genomic loci, including genes encoding targets of antipsychotics, calcium channel blockers, antiepileptics and anesthetics.
Abstract: Bipolar disorder is a heritable mental illness with complex etiology. We performed a genome-wide association study of 41,917 bipolar disorder cases and 371,549 controls of European ancestry, which identified 64 associated genomic loci. Bipolar disorder risk alleles were enriched in genes in synaptic signaling pathways and brain-expressed genes, particularly those with high specificity of expression in neurons of the prefrontal cortex and hippocampus. Significant signal enrichment was found in genes encoding targets of antipsychotics, calcium channel blockers, antiepileptics and anesthetics. Integrating expression quantitative trait locus data implicated 15 genes robustly linked to bipolar disorder via gene expression, encoding druggable targets such as HTR6, MCHR1, DCLK3 and FURIN. Analyses of bipolar disorder subtypes indicated high but imperfect genetic correlation between bipolar disorder type I and II and identified additional associated loci. Together, these results advance our understanding of the biological etiology of bipolar disorder, identify novel therapeutic leads and prioritize genes for functional follow-up studies.

Journal ArticleDOI
Richard J. Abbott1, T. D. Abbott2, Sheelu Abraham3, Fausto Acernese4  +1692 moreInstitutions (195)
TL;DR: In this article, the authors reported the observation of gravitational waves from two compact binary coalescences in LIGO's and Virgo's third observing run with properties consistent with neutron star-black hole (NSBH) binaries.
Abstract: We report the observation of gravitational waves from two compact binary coalescences in LIGO’s and Virgo’s third observing run with properties consistent with neutron star–black hole (NSBH) binaries. The two events are named GW200105_162426 and GW200115_042309, abbreviated as GW200105 and GW200115; the first was observed by LIGO Livingston and Virgo and the second by all three LIGO–Virgo detectors. The source of GW200105 has component masses 8.9−1.5+1.2 and 1.9−0.2+0.3M⊙ , whereas the source of GW200115 has component masses 5.7−2.1+1.8 and 1.5−0.3+0.7M⊙ (all measurements quoted at the 90% credible level). The probability that the secondary’s mass is below the maximal mass of a neutron star is 89%–96% and 87%–98%, respectively, for GW200105 and GW200115, with the ranges arising from different astrophysical assumptions. The source luminosity distances are 280−110+110 and 300−100+150Mpc , respectively. The magnitude of the primary spin of GW200105 is less than 0.23 at the 90% credible level, and its orientation is unconstrained. For GW200115, the primary spin has a negative spin projection onto the orbital angular momentum at 88% probability. We are unable to constrain the spin or tidal deformation of the secondary component for either event. We infer an NSBH merger rate density of 45−33+75Gpc−3yr−1 when assuming that GW200105 and GW200115 are representative of the NSBH population or 130−69+112Gpc−3yr−1 under the assumption of a broader distribution of component masses.

Journal ArticleDOI
TL;DR: In this paper, the in situ formation of a dense, stable, and highly Zn2+ -conductive SEI layer (hopeite) in aqueous Zn chemistry is demonstrated, by introducing Zn(H2 PO4 )2 salt into the electrolyte.
Abstract: Rechargeable aqueous Zn-ion batteries promise high capacity, low cost, high safety, and sustainability for large-scale energy storage The Zn metal anode, however, suffers from the dendrite growth and side reactions that are mainly due to the absence of an appropriate solid electrolyte interphase (SEI) layer Herein, the in situ formation of a dense, stable, and highly Zn2+ -conductive SEI layer (hopeite) in aqueous Zn chemistry is demonstrated, by introducing Zn(H2 PO4 )2 salt into the electrolyte The hopeite SEI (≈140 nm thickness) enables uniform and rapid Zn-ion transport kinetics for dendrite-free Zn deposition, and restrains the side reactions via isolating active Zn from the bulk electrolyte Under practical testing conditions with an ultrathin Zn anode (10 µm), a low negative/positive capacity ratio (≈23), and a lean electrolyte (9 µL mAh-1 ), the Zn/V2 O5 full cell retains 944% of its original capacity after 500 cycles This work provides a simple yet practical solution to high-performance aqueous battery technology via building in situ SEI layers

Journal ArticleDOI
Richard J. Abbott1, T. D. Abbott2, Sheelu Abraham3, Fausto Acernese4  +1335 moreInstitutions (144)
TL;DR: The data recorded by these instruments during their first and second observing runs are described, including the gravitational-wave strain arrays, released as time series sampled at 16384 Hz.

Journal ArticleDOI
TL;DR: In 2018, the International Working Group presented what they consider to be the current limitations of biomarkers in the diagnosis of Alzheimer's disease and, on the basis of this evidence, they proposed recommendations for how biomarkers should and should not be used for diagnosing Alzheimer's diseases in a clinical setting as mentioned in this paper.
Abstract: In 2018, the US National Institute on Aging and the Alzheimer's Association proposed a purely biological definition of Alzheimer's disease that relies on biomarkers. Although the intended use of this framework was for research purposes, it has engendered debate and challenges regarding its use in everyday clinical practice. For instance, cognitively unimpaired individuals can have biomarker evidence of both amyloid β and tau pathology but will often not develop clinical manifestations in their lifetime. Furthermore, a positive Alzheimer's disease pattern of biomarkers can be observed in other brain diseases in which Alzheimer's disease pathology is present as a comorbidity. In this Personal View, the International Working Group presents what we consider to be the current limitations of biomarkers in the diagnosis of Alzheimer's disease and, on the basis of this evidence, we propose recommendations for how biomarkers should and should not be used for diagnosing Alzheimer's disease in a clinical setting. We recommend that Alzheimer's disease diagnosis be restricted to people who have positive biomarkers together with specific Alzheimer's disease phenotypes, whereas biomarker-positive cognitively unimpaired individuals should be considered only at-risk for progression to Alzheimer's disease.

Journal ArticleDOI
TL;DR: The Chicago Classification v4.4.0 as discussed by the authors is the most recent version of the Chicago Classification, which uses high-resolution manometry (HRM) for motility disorders.
Abstract: Chicago Classification v4.0 (CCv4.0) is the updated classification scheme for esophageal motility disorders using metrics from high-resolution manometry (HRM). Fifty-two diverse international experts separated into seven working subgroups utilized formal validated methodologies over two-years to develop CCv4.0. Key updates in CCv.4.0 consist of a more rigorous and expansive HRM protocol that incorporates supine and upright test positions as well as provocative testing, a refined definition of esophagogastric junction (EGJ) outflow obstruction (EGJOO), more stringent diagnostic criteria for ineffective esophageal motility and description of baseline EGJ metrics. Further, the CCv4.0 sought to define motility disorder diagnoses as conclusive and inconclusive based on associated symptoms, and findings on provocative testing as well as supportive testing with barium esophagram with tablet and/or functional lumen imaging probe. These changes attempt to minimize ambiguity in prior iterations of Chicago Classification and provide more standardized and rigorous criteria for patterns of disorders of peristalsis and obstruction at the EGJ.

DOI
15 Nov 2021
TL;DR: In this paper, the authors explored whether in-vitro neutralization titres remain predictive of vaccine protection from infection with SARS-CoV-2 variants and used the model to predict the impact of booster vaccination on protection against SARS CoV2 variants.
Abstract: Summary Background Several SARS-CoV-2 variants of concern have been identified that partly escape serum neutralisation elicited by current vaccines. Studies have also shown that vaccines demonstrate reduced protection against symptomatic infection with SARS-CoV-2 variants. We explored whether in-vitro neutralisation titres remain predictive of vaccine protection from infection with SARS-CoV-2 variants. Methods In this meta-analysis, we analysed published data from 24 identified studies on in-vitro neutralisation and clinical protection to understand the loss of neutralisation to existing SARS-CoV-2 variants of concern. We integrated the results of this analysis into our existing statistical model relating in-vitro neutralisation to protection (parameterised on data from ancestral virus infection) to estimate vaccine efficacy against SARS-CoV-2 variants. We also analysed data on boosting of vaccine responses and use the model to predict the impact of booster vaccination on protection against SARS-CoV-2 variants. Findings The neutralising activity against the ancestral SARS-CoV-2 was highly predictive of neutralisation of variants of concern. Decreases in neutralisation titre to the alpha (1·6-fold), beta (8·8-fold), gamma (3·5-fold), and delta (3·9-fold) variants (compared to the ancestral virus) were not significantly different between different vaccines. Neutralisation remained strongly correlated with protection from symptomatic infection with SARS-CoV-2 variants of concern (rS=0·81, p=0·0005) and the existing model remained predictive of vaccine efficacy against variants of concern once decreases in neutralisation to the variants of concern were incorporated. Modelling of predicted vaccine efficacy against variants over time suggested that protection against symptomatic infection might decrease below 50% within the first year after vaccination for some vaccines. Boosting of previously infected individuals with existing vaccines (which target ancestral virus) is predicted to provide a higher degree of protection from infection with variants of concern than primary vaccination schedules alone. Interpretation In-vitro neutralisation titres remain a correlate of protection from SARS-CoV-2 variants and modelling of the effects of waning immunity predicts a loss of protection to the variants after vaccination. However, booster vaccination with current vaccines should enable higher neutralisation to SARS-CoV-2 variants than is achieved with primary vaccination, which is predicted to provide robust protection from severe infection outcomes with the current SARS-CoV-2 variants of concern, at least in the medium term. Funding The National Health and Medical Research Council (Australia), the Medical Research Future Fund (Australia), and the Victorian Government.

Journal ArticleDOI
Stephen V. Faraone1, Tobias Banaschewski2, David Coghill3, Yi Zheng4, Joseph Biederman5, Mark A. Bellgrove6, Jeffrey H. Newcorn7, Martin Gignac8, Nouf M. Al Saud, Iris Manor, Luis Augusto Rohde9, Li Yang10, Samuele Cortese11, Doron Almagor12, Mark A. Stein13, Turki H. Albatti, Haya F. Aljoudi, Mohammed Alqahtani14, Philip Asherson15, Lukoye Atwoli16, Sven Bölte17, Jan K. Buitelaar18, Cleo L. Crunelle19, David Daley20, Søren Dalsgaard21, Manfred Döpfner22, Stacey Espinet, Michael Fitzgerald23, Barbara Franke18, Manfred Gerlach24, Jan Haavik25, Catharina A. Hartman26, Cynthia M. Hartung27, Stephen P. Hinshaw28, Stephen P. Hinshaw29, Pieter J. Hoekstra26, Chris Hollis30, Scott H. Kollins31, J. J. Sandra Kooij32, Jonna Kuntsi15, Henrik Larsson17, Henrik Larsson33, Tingyu Li34, Jing Liu10, Eugene Merzon35, Gregory Mattingly36, Paulo Mattos37, Suzanne McCarthy38, Amori Yee Mikami39, Brooke S. G. Molina40, Joel T. Nigg41, D. Purper-Ouakil42, Olayinka Omigbodun43, Guilherme V. Polanczyk44, Yehuda Pollak45, Alison Poulton46, Ravi Philip Rajkumar47, Andrew Reding, Andreas Reif, Katya Rubia15, Julia J. Rucklidge48, Marcel Romanos, J. Antoni Ramos-Quiroga49, Arnt F. A. Schellekens18, Anouk Scheres18, Renata Schoeman50, Julie B. Schweitzer51, Henal Shah52, Mary V. Solanto53, Edmund J.S. Sonuga-Barke15, Edmund J.S. Sonuga-Barke21, Cesar Soutullo54, Hans-Christoph Steinhausen55, James M. Swanson56, Anita Thapar57, Gail Tripp58, Geurt van de Glind59, Wim van den Brink32, Saskia Van der Oord60, André Venter61, Benedetto Vitiello62, Benedetto Vitiello63, Susanne Walitza64, Yufeng Wang10 
State University of New York Upstate Medical University1, Heidelberg University2, University of Melbourne3, Capital Medical University4, Harvard University5, Monash University, Clayton campus6, Icahn School of Medicine at Mount Sinai7, Montreal Children's Hospital8, Universidade Federal do Rio Grande do Sul9, Peking University10, University of Southampton11, University of Toronto12, University of Washington13, King Khalid University14, King's College London15, Aga Khan University16, Karolinska Institutet17, Radboud University Nijmegen18, Vrije Universiteit Brussel19, University of Nottingham20, Aarhus University21, University of Cologne22, Trinity College, Dublin23, University of Würzburg24, University of Bergen25, University Medical Center Groningen26, University of Wyoming27, University of California, Berkeley28, University of California, San Francisco29, Nottinghamshire Healthcare NHS Foundation Trust30, Duke University31, University of Amsterdam32, Örebro University33, Chongqing Medical University34, Tel Aviv University35, Washington University in St. Louis36, Federal University of Rio de Janeiro37, University College Cork38, University of British Columbia39, University of Pittsburgh40, Oregon Health & Science University41, University of Montpellier42, University of Ibadan43, University of São Paulo44, Hebrew University of Jerusalem45, University of Sydney46, Jawaharlal Institute of Postgraduate Medical Education and Research47, University of Canterbury48, Autonomous University of Barcelona49, Stellenbosch University50, University of California, Davis51, National Medical College52, Hofstra University53, University of Texas Health Science Center at Houston54, University of Southern Denmark55, University of California, Irvine56, Cardiff University57, Okinawa Institute of Science and Technology58, HU University of Applied Sciences Utrecht59, Katholieke Universiteit Leuven60, University of the Free State61, Johns Hopkins University62, University of Turin63, University of Zurich64
TL;DR: In this article, the authors presented 208 empirically supported statements about ADHD using meta-analysis, which allow for firm statements about the nature, course, outcome causes and treatments for disorders that are useful for reducing misconceptions and stigma.

Journal ArticleDOI
TL;DR: A subsample of parents in dual earner couples from a national survey of 2,722 Australian men and women conducted during lockdown in May 2020 is drawn to investigate how working parents managed to do paid work and family care at home simultaneously.
Abstract: COVID-19 and the associated lockdowns meant many working parents were faced with doing paid work and family care at home simultaneously To investigate how they managed, this paper draws a subsample of parents in dual earner couples (n=1,536) from a national survey of 2,722 Australian men and women conducted during lockdown in May 2020 It asked how much time respondents spent in paid and unpaid labour, including both active and supervisory care, and about their satisfaction with work-family balance and how their partner shared the load Overall, paid work time was slightly lower, and unpaid work time was very much higher, during lockdown than before it These time changes were most for mothers, but gender gaps somewhat narrowed because the relative increase in childcare was higher for fathers More mothers than fathers were dissatisfied with their work-family balance and partner's share before COVID-19 For some the pandemic improved satisfaction levels, but for most they became worse Again, some gender differences narrowed, mainly because more fathers also felt negatively during lockdown than they had before

Journal ArticleDOI
TL;DR: Public health measures during the COVID-19 pandemic have potential to impact transmission of other respiratory viruses and border closures have likely been important in limiting introductions from abroad, according to a Western Australian study.
Abstract: Public health measures targeting coronavirus disease 2019 have potential to impact transmission of other respiratory viruses. We found 98.0% and 99.4% reductions in respiratory syncytial virus and influenza detections, respectively, in Western Australian children through winter 2020 despite schools reopening. Border closures have likely been important in limiting external introductions.

Journal ArticleDOI
TL;DR: In this paper, the authors show a comprehensive profile of antibody, B cell and T cell dynamics over time in a cohort of patients who have recovered from mild-moderate COVID-19.
Abstract: The durability of infection-induced SARS-CoV-2 immunity has major implications for reinfection and vaccine development. Here, we show a comprehensive profile of antibody, B cell and T cell dynamics over time in a cohort of patients who have recovered from mild-moderate COVID-19. Binding and neutralising antibody responses, together with individual serum clonotypes, decay over the first 4 months post-infection. A similar decline in Spike-specific CD4+ and circulating T follicular helper frequencies occurs. By contrast, S-specific IgG+ memory B cells consistently accumulate over time, eventually comprising a substantial fraction of circulating the memory B cell pool. Modelling of the concomitant immune kinetics predicts maintenance of serological neutralising activity above a titre of 1:40 in 50% of convalescent participants to 74 days, although there is probably additive protection from B cell and T cell immunity. This study indicates that SARS-CoV-2 immunity after infection might be transiently protective at a population level. Therefore, SARS-CoV-2 vaccines might require greater immunogenicity and durability than natural infection to drive long-term protection.

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Eirini Karyotaki1, Eirini Karyotaki2, Eirini Karyotaki3, Orestis Efthimiou4, Orestis Efthimiou3, Clara Miguel5, Clara Miguel1, Frederic Maas genannt Bermpohl6, Toshi A. Furukawa6, Toshi A. Furukawa7, Pim Cuijpers5, Pim Cuijpers1, Heleen Riper1, Heleen Riper5, Vikram Patel2, Adriana Mira, Alan W Gemmil, Albert Yeung2, Alfred Lange8, Alishia D. Williams9, Andrew Mackinnon10, Andrew Mackinnon9, Anna C. M. Geraedts, Annemieke van Straten5, Annemieke van Straten1, Björn Meyer11, Cecilia Björkelund12, Christine Knaevelsrud13, Christopher G. Beevers14, Cristina Botella15, Cristina Botella16, Daniel R. Strunk17, David C. Mohr18, David Daniel Ebert19, David Kessler20, David Kessler21, Derek Richards22, Elizabeth Littlewood23, Erik Forsell24, Fan Feng2, Fang Wang25, Gerhard Andersson26, Gerhard Andersson24, Heather D. Hadjistavropoulos27, Heleen Christensen9, Iony D. Ezawa17, Isabella Choi28, Isabelle M. Rosso29, Isabelle M. Rosso2, Jan Philipp Klein30, Jason Shumake14, Javier García-Campayo31, Jeannette Milgrom, Jessica Smith32, Jesus Montero-Marin4, Jill M. Newby9, Juana Bretón-López15, Juana Bretón-López16, Justine Schneider33, Kristofer Vernmark26, Lara Bücker34, Lisa Sheeber35, Lisanne Warmerdam, Louise Farrer36, Manuel Heinrich13, Marcus J.H. Huibers5, Marcus J.H. Huibers1, Marie Kivi12, Martin Kraepelien24, Nicholas R. Forand37, Nicholas R. Forand38, Nicky Pugh27, Nils Lindefors24, Ove Lintvedt, Pavle Zagorscak13, Per Carlbring39, Rachel Phillips32, Robert Johansson39, Ronald C. Kessler2, Sally Brabyn, Sarah Perini, Scott L. Rauch29, Simon Gilbody23, Simon Gilbody40, Steffen Moritz34, Thomas Berger3, Victor J M Pop41, Viktor Kaldo42, Viktor Kaldo24, Viola Spek41, Yvonne Forsell24 
TL;DR: In this article, the authors conducted a systematic review and IPD network meta-analysis and estimated relative treatment effect sizes across different patient characteristics through IPD-network meta-regression, and found that both guided and unguided iCBT were associated with more effectiveness as measured by PHQ-9 scores than control treatments over the short term and the long term.
Abstract: Importance Personalized treatment choices would increase the effectiveness of internet-based cognitive behavioral therapy (iCBT) for depression to the extent that patients differ in interventions that better suit them. Objective To provide personalized estimates of short-term and long-term relative efficacy of guided and unguided iCBT for depression using patient-level information. Data Sources We searched PubMed, Embase, PsycInfo, and Cochrane Library to identify randomized clinical trials (RCTs) published up to January 1, 2019. Study Selection Eligible RCTs were those comparing guided or unguided iCBT against each other or against any control intervention in individuals with depression. Available individual patient data (IPD) was collected from all eligible studies. Depression symptom severity was assessed after treatment, 6 months, and 12 months after randomization. Data Extraction and Synthesis We conducted a systematic review and IPD network meta-analysis and estimated relative treatment effect sizes across different patient characteristics through IPD network meta-regression. Main Outcomes and Measures Patient Health Questionnaire–9 (PHQ-9) scores. Results Of 42 eligible RCTs, 39 studies comprising 9751 participants with depression contributed IPD to the IPD network meta-analysis, of which 8107 IPD were synthesized. Overall, both guided and unguided iCBT were associated with more effectiveness as measured by PHQ-9 scores than control treatments over the short term and the long term. Guided iCBT was associated with more effectiveness than unguided iCBT (mean difference [MD] in posttreatment PHQ-9 scores, −0.8; 95% CI, −1.4 to −0.2), but we found no evidence of a difference at 6 or 12 months following randomization. Baseline depression was found to be the most important modifier of the relative association for efficacy of guided vs unguided iCBT. Differences between unguided and guided iCBT in people with baseline symptoms of subthreshold depression (PHQ-9 scores 5-9) were small, while guided iCBT was associated with overall better outcomes in patients with baseline PHQ-9 greater than 9. Conclusions and Relevance In this network meta-analysis with IPD, guided iCBT was associated with more effectiveness than unguided iCBT for individuals with depression, benefits were more substantial in individuals with moderate to severe depression. Unguided iCBT was associated with similar effectiveness among individuals with symptoms of mild/subthreshold depression. Personalized treatment selection is entirely possible and necessary to ensure the best allocation of treatment resources for depression.

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TL;DR: Although the gut microbiota remains a promising target for prevention and therapy, future research should assess confounders, particularly diet and psychotropic medications, and should examine microorganism function.

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TL;DR: A meta-analysis to estimate the global and regional SARS-CoV-2 seroprevalence rates in humans, and to assess whether serop revalence associates with geographical, climatic and socio-demographic factors, suggested an association with income, human development and climate change.


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TL;DR: In this paper, the authors discuss the main sources of intratumoral heterogeneity and its impact on the natural history of the disease, including sensitivity to treatment, as well as delineate potential strategies to target such a detrimental feature of aggressive malignancies.
Abstract: Most (if not all) tumors emerge and progress under a strong evolutionary pressure imposed by trophic, metabolic, immunological, and therapeutic factors The relative impact of these factors on tumor evolution changes over space and time, ultimately favoring the establishment of a neoplastic microenvironment that exhibits considerable genetic, phenotypic, and behavioral heterogeneity in all its components Here, we discuss the main sources of intratumoral heterogeneity and its impact on the natural history of the disease, including sensitivity to treatment, as we delineate potential strategies to target such a detrimental feature of aggressive malignancies The many levels of heterogeneity within tumors dictate their response to therapy and should be considered in future therapeutic regimes

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TL;DR: This study focuses exclusively on this subset of smart contracts, and suggests several directions that researchers and practitioners can work on to help improve developers’ experience on developing high-quality smart contracts.
Abstract: Smart contract, a term which was originally coined to refer to the automation of legal contracts in general, has recently seen much interest due to the advent of blockchain technology. Recently, the term is popularly used to refer to low-level code scripts running on a blockchain platform. Our study focuses exclusively on this subset of smart contracts. Such smart contracts have increasingly been gaining ground, finding numerous important applications (e.g., crowdfunding) in the real world. Despite the increasing popularity, smart contract development still remains somewhat a mystery to many developers largely due to its special design and applications. Are there any differences between smart contract development and traditional software development? What kind of challenges are faced by developers during smart contract development? Questions like these are important but have not been explored by researchers yet. In this paper, we performed an exploratory study to understand the current state and potential challenges developers are facing in developing smart contracts on blockchains, with a focus on Ethereum (the most popular public blockchain platform for smart contracts). Toward this end, we conducted this study in two phases. In the first phase, we conducted semi-structured interviews with 20 developers from GitHub and industry professionals who are working on smart contracts. In the second phase, we performed a survey on 232 practitioners to validate the findings from the interviews. Our interview and survey results revealed several major challenges developers are facing during smart contract development: (1) there is no effective way to guarantee the security of smart contract code; (2) existing tools for development are still very basic; (3) the programming languages and the virtual machines still have a number of limitations; (4) performance problems are hard to handle under resource constrained running environment; and (5) online resources (including advanced/updated documents and community support) are still limited. Our study suggests several directions that researchers and practitioners can work on to help improve developers’ experience on developing high-quality smart contracts.

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TL;DR: Kleborate as mentioned in this paper is a tool for analysing genomes of Klebsiella pneumoniae and its associated species complex, which consolidates interrogation of key features of proven clinical importance and provides a framework to support genomic surveillance and epidemiology in research, clinical and public health settings.
Abstract: Klebsiella pneumoniae is a leading cause of antimicrobial-resistant (AMR) healthcare-associated infections, neonatal sepsis and community-acquired liver abscess, and is associated with chronic intestinal diseases. Its diversity and complex population structure pose challenges for analysis and interpretation of K. pneumoniae genome data. Here we introduce Kleborate, a tool for analysing genomes of K. pneumoniae and its associated species complex, which consolidates interrogation of key features of proven clinical importance. Kleborate provides a framework to support genomic surveillance and epidemiology in research, clinical and public health settings. To demonstrate its utility we apply Kleborate to analyse publicly available Klebsiella genomes, including clinical isolates from a pan-European study of carbapenemase-producing Klebsiella, highlighting global trends in AMR and virulence as examples of what could be achieved by applying this genomic framework within more systematic genomic surveillance efforts. We also demonstrate the application of Kleborate to detect and type K. pneumoniae from gut metagenomes.

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13 Jan 2021-BMJ
TL;DR: In this paper, the authors evaluated the effect of SGLT-2 inhibitors and GLP-like peptide-1 (GLP-1) receptor agonists in patients with type 2 diabetes at varying cardiovascular and renal risk.
Abstract: Objective To evaluate sodium-glucose cotransporter-2 (SGLT-2) inhibitors and glucagon-like peptide-1 (GLP-1) receptor agonists in patients with type 2 diabetes at varying cardiovascular and renal risk. Design Network meta-analysis. Data sources Medline, Embase, and Cochrane CENTRAL up to 11 August 2020. Eligibility criteria for selecting studies Randomised controlled trials comparing SGLT-2 inhibitors or GLP-1 receptor agonists with placebo, standard care, or other glucose lowering treatment in adults with type 2 diabetes with follow up of 24 weeks or longer. Studies were screened independently by two reviewers for eligibility, extracted data, and assessed risk of bias. Main outcome measures Frequentist random effects network meta-analysis was carried out and GRADE (grading of recommendations assessment, development, and evaluation) used to assess evidence certainty. Results included estimated absolute effects of treatment per 1000 patients treated for five years for patients at very low risk (no cardiovascular risk factors), low risk (three or more cardiovascular risk factors), moderate risk (cardiovascular disease), high risk (chronic kidney disease), and very high risk (cardiovascular disease and kidney disease). A guideline panel provided oversight of the systematic review. Results 764 trials including 421 346 patients proved eligible. All results refer to the addition of SGLT-2 inhibitors and GLP-1 receptor agonists to existing diabetes treatment. Both classes of drugs lowered all cause mortality, cardiovascular mortality, non-fatal myocardial infarction, and kidney failure (high certainty evidence). Notable differences were found between the two agents: SGLT-2 inhibitors reduced mortality and admission to hospital for heart failure more than GLP-1 receptor agonists, and GLP-1 receptor agonists reduced non-fatal stroke more than SGLT-2 inhibitors (which appeared to have no effect). SGLT-2 inhibitors caused genital infection (high certainty), whereas GLP-1 receptor agonists might cause severe gastrointestinal events (low certainty). Low certainty evidence suggested that SGLT-2 inhibitors and GLP-1 receptor agonists might lower body weight. Little or no evidence was found for the effect of SGLT-2 inhibitors or GLP-1 receptor agonists on limb amputation, blindness, eye disease, neuropathic pain, or health related quality of life. The absolute benefits of these drugs vary substantially across patients from low to very high risk of cardiovascular and renal outcomes (eg, SGLT-2 inhibitors resulted in 5 to 48 fewer deaths in 1000 patients over five years; see interactive decision support tool (https://magicevidence.org/match-it/200820dist/#!/) for all outcomes. Conclusions In patients with type 2 diabetes, SGLT-2 inhibitors and GLP-1 receptor agonists reduced cardiovascular and renal outcomes, with notable differences in benefits and harms. Absolute benefits are determined by individual risk profiles of patients, with clear implications for clinical practice, as reflected in the BMJ Rapid Recommendations directly informed by this systematic review. Systematic review registration PROSPERO CRD42019153180.

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TL;DR: In this paper, the authors systematically review and update the vast state-of-the-art literature of amyloid-β (Aβ) science with evidence from basic research studies to human genetic and multi-modal biomarker investigations, which supports a crucial role of Aβ pathway dyshomeostasis in AD pathophysiological dynamics.
Abstract: Breakthroughs in molecular medicine have positioned the amyloid-β (Aβ) pathway at the center of Alzheimer's disease (AD) pathophysiology. While the detailed molecular mechanisms of the pathway and the spatial-temporal dynamics leading to synaptic failure, neurodegeneration, and clinical onset are still under intense investigation, the established biochemical alterations of the Aβ cycle remain the core biological hallmark of AD and are promising targets for the development of disease-modifying therapies. Here, we systematically review and update the vast state-of-the-art literature of Aβ science with evidence from basic research studies to human genetic and multi-modal biomarker investigations, which supports a crucial role of Aβ pathway dyshomeostasis in AD pathophysiological dynamics. We discuss the evidence highlighting a differentiated interaction of distinct Aβ species with other AD-related biological mechanisms, such as tau-mediated, neuroimmune and inflammatory changes, as well as a neurochemical imbalance. Through the lens of the latest development of multimodal in vivo biomarkers of AD, this cross-disciplinary review examines the compelling hypothesis- and data-driven rationale for Aβ-targeting therapeutic strategies in development for the early treatment of AD.