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Showing papers by "Nagoya University published in 2020"


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Georges Aad1, E. Abat2, Jalal Abdallah3, Jalal Abdallah4  +3029 moreInstitutions (164)
23 Feb 2020
TL;DR: The ATLAS detector as installed in its experimental cavern at point 1 at CERN is described in this paper, where a brief overview of the expected performance of the detector when the Large Hadron Collider begins operation is also presented.
Abstract: The ATLAS detector as installed in its experimental cavern at point 1 at CERN is described in this paper. A brief overview of the expected performance of the detector when the Large Hadron Collider begins operation is also presented.

3,111 citations


Journal ArticleDOI
TL;DR: In this article, the international 14C calibration curves for both the Northern and Southern Hemispheres, as well as for the ocean surface layer, have been updated to include a wealth of new data and extended to 55,000 cal BP.
Abstract: Radiocarbon (14C) ages cannot provide absolutely dated chronologies for archaeological or paleoenvironmental studies directly but must be converted to calendar age equivalents using a calibration curve compensating for fluctuations in atmospheric 14C concentration. Although calibration curves are constructed from independently dated archives, they invariably require revision as new data become available and our understanding of the Earth system improves. In this volume the international 14C calibration curves for both the Northern and Southern Hemispheres, as well as for the ocean surface layer, have been updated to include a wealth of new data and extended to 55,000 cal BP. Based on tree rings, IntCal20 now extends as a fully atmospheric record to ca. 13,900 cal BP. For the older part of the timescale, IntCal20 comprises statistically integrated evidence from floating tree-ring chronologies, lacustrine and marine sediments, speleothems, and corals. We utilized improved evaluation of the timescales and location variable 14C offsets from the atmosphere (reservoir age, dead carbon fraction) for each dataset. New statistical methods have refined the structure of the calibration curves while maintaining a robust treatment of uncertainties in the 14C ages, the calendar ages and other corrections. The inclusion of modeled marine reservoir ages derived from a three-dimensional ocean circulation model has allowed us to apply more appropriate reservoir corrections to the marine 14C data rather than the previous use of constant regional offsets from the atmosphere. Here we provide an overview of the new and revised datasets and the associated methods used for the construction of the IntCal20 curve and explore potential regional offsets for tree-ring data. We discuss the main differences with respect to the previous calibration curve, IntCal13, and some of the implications for archaeology and geosciences ranging from the recent past to the time of the extinction of the Neanderthals.

2,800 citations



Journal ArticleDOI
06 Feb 2020-Cell
TL;DR: The largest exome sequencing study of autism spectrum disorder (ASD) to date, using an enhanced analytical framework to integrate de novo and case-control rare variation, identifies 102 risk genes at a false discovery rate of 0.1 or less, consistent with multiple paths to an excitatory-inhibitory imbalance underlying ASD.

1,169 citations


Journal ArticleDOI
13 Nov 2020-Science
TL;DR: It is shown that neuropilin-1 (NRP1), which is known to bind furin-cleaved substrates, potentiates SARS-CoV-2 infectivity and serves as a host factor for Sars-Cov-2 infection and may potentially provide a therapeutic target for COVID-19.
Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of coronavirus disease 2019 (COVID-19), uses the viral spike (S) protein for host cell attachment and entry. The host protease furin cleaves the full-length precursor S glycoprotein into two associated polypeptides: S1 and S2. Cleavage of S generates a polybasic Arg-Arg-Ala-Arg carboxyl-terminal sequence on S1, which conforms to a C-end rule (CendR) motif that binds to cell surface neuropilin-1 (NRP1) and NRP2 receptors. We used x-ray crystallography and biochemical approaches to show that the S1 CendR motif directly bound NRP1. Blocking this interaction by RNA interference or selective inhibitors reduced SARS-CoV-2 entry and infectivity in cell culture. NRP1 thus serves as a host factor for SARS-CoV-2 infection and may potentially provide a therapeutic target for COVID-19.

884 citations


Journal ArticleDOI
TL;DR: The technical aspect of automated driving is surveyed, with an overview of available datasets and tools for ADS development and many state-of-the-art algorithms implemented and compared on their own platform in a real-world driving setting.
Abstract: Automated driving systems (ADSs) promise a safe, comfortable and efficient driving experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The full potential of ADSs cannot be realized unless the robustness of state-of-the-art is improved further. This paper discusses unsolved problems and surveys the technical aspect of automated driving. Studies regarding present challenges, high-level system architectures, emerging methodologies and core functions including localization, mapping, perception, planning, and human machine interfaces, were thoroughly reviewed. Furthermore, many state-of-the-art algorithms were implemented and compared on our own platform in a real-world driving setting. The paper concludes with an overview of available datasets and tools for ADS development.

851 citations


Journal ArticleDOI
T. Aoyama1, Nils Asmussen2, M. Benayoun3, Johan Bijnens4  +146 moreInstitutions (64)
TL;DR: The current status of the Standard Model calculation of the anomalous magnetic moment of the muon is reviewed in this paper, where the authors present a detailed account of recent efforts to improve the calculation of these two contributions with either a data-driven, dispersive approach, or a first-principle, lattice approach.

801 citations


Journal ArticleDOI
TL;DR: Atezolizumab treatment resulted in significantly longer overall survival than platinum-based chemotherapy among patients with NSCLC with high PD-L1 expression, regardless of histologic type.
Abstract: Background The efficacy and safety of the anti–programmed death ligand 1 (PD-L1) monoclonal antibody atezolizumab, as compared with those of platinum-based chemotherapy, as first-line trea...

773 citations


Journal ArticleDOI
Gilberto Pastorello1, Carlo Trotta2, E. Canfora2, Housen Chu1  +300 moreInstitutions (119)
TL;DR: The FLUXNET2015 dataset provides ecosystem-scale data on CO 2 , water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe, and is detailed in this paper.
Abstract: The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.

681 citations



Journal ArticleDOI
Elena Aprile1, Jelle Aalbers, F. Agostini2, F. Agostini3, M. Alfonsi4, L. Althueser5, F. D. Amaro6, V. C. Antochi, E. Angelino3, E. Angelino7, J. R. Angevaare8, F. Arneodo9, D. Barge, Laura Baudis10, Boris Bauermeister, Lorenzo Bellagamba3, M. L. Benabderrahmane9, T. Berger11, April S. Brown10, Ethan Brown11, S. Bruenner, Giacomo Bruno9, Ran Budnik12, C. Capelli10, João Cardoso6, D. Cichon13, B. Cimmino3, M. Clark14, D. Coderre15, Auke-Pieter Colijn, Jan Conrad, Jean-Pierre Cussonneau, M. P. Decowski, A. Depoian14, P. Di Gangi3, A. Di Giovanni9, R. Di Stefano3, Sara Diglio, A. Elykov15, G. Eurin13, A. D. Ferella16, W. Fulgione7, P. Gaemers, R. Gaior, Michelle Galloway10, F. Gao1, L. Grandi, C. Hasterok3, C. Hils4, Katsuki Hiraide17, L. Hoetzsch13, J. Howlett1, M. Iacovacci3, Yoshitaka Itow18, F. Joerg13, N. Kato17, Shingo Kazama18, Masanori Kobayashi1, G. Koltman12, A. Kopec14, H. Landsman12, R. F. Lang14, L. Levinson12, Qing Lin1, Sebastian Lindemann15, Manfred Lindner13, F. Lombardi6, J. Long, J. A. M. Lopes6, E. López Fune, C. Macolino, Joern Mahlstedt, A. Mancuso3, Laura Manenti9, A. Manfredini10, F. Marignetti3, T. Marrodán Undagoitia13, K. Martens17, Julien Masbou, D. Masson15, S. Mastroianni3, M. Messina, Kentaro Miuchi19, K. Mizukoshi19, A. Molinario, K. Morå1, S. Moriyama17, Y. Mosbacher12, M. Murra5, J. Naganoma, Kaixuan Ni20, Uwe Oberlack4, K. Odgers11, J. Palacio13, Bart Pelssers, R. Peres10, J. Pienaar21, V. Pizzella13, Guillaume Plante1, J. Qin14, H. Qiu12, D. Ramírez García15, S. Reichard10, A. Rocchetti15, N. Rupp13, J.M.F. dos Santos6, Gabriella Sartorelli3, N. Šarčević15, M. Scheibelhut4, J. Schreiner13, D. Schulte5, Marc Schumann15, L. Scotto Lavina, M. Selvi3, F. Semeria3, P. Shagin22, E. Shockley21, Manuel Gameiro da Silva6, H. Simgen13, A. Takeda18, C. Therreau, Dominique Thers, F. Toschi15, Gian Carlo Trinchero3, C. Tunnell22, M. Vargas5, G. Volta10, Hongwei Wang23, Yuehuan Wei20, Ch. Weinheimer5, M. Weiss12, D. Wenz4, C. Wittweg5, Z. Xu1, Masaki Yamashita18, J. Ye20, Guido Zavattini3, Yanxi Zhang1, T. Zhu1, J. P. Zopounidis, Xavier Mougeot 
TL;DR: In this article, the XENON1T data was used for searches for new physics with low-energy electronic recoil data recorded with the Xenon1T detector, which enabled one of the most sensitive searches for solar axions, an enhanced neutrino magnetic moment using solar neutrinos, and bosonic dark matter.
Abstract: We report results from searches for new physics with low-energy electronic recoil data recorded with the XENON1T detector. With an exposure of 0.65 tonne-years and an unprecedentedly low background rate of 76±2stat events/(tonne×year×keV) between 1 and 30 keV, the data enable one of the most sensitive searches for solar axions, an enhanced neutrino magnetic moment using solar neutrinos, and bosonic dark matter. An excess over known backgrounds is observed at low energies and most prominent between 2 and 3 keV. The solar axion model has a 3.4σ significance, and a three-dimensional 90% confidence surface is reported for axion couplings to electrons, photons, and nucleons. This surface is inscribed in the cuboid defined by gae<3.8×10-12, gaeganeff<4.8×10-18, and gaegaγ<7.7×10-22 GeV-1, and excludes either gae=0 or gaegaγ=gaeganeff=0. The neutrino magnetic moment signal is similarly favored over background at 3.2σ, and a confidence interval of μν∈(1.4,2.9)×10-11 μB (90% C.L.) is reported. Both results are in strong tension with stellar constraints. The excess can also be explained by β decays of tritium at 3.2σ significance with a corresponding tritium concentration in xenon of (6.2±2.0)×10-25 mol/mol. Such a trace amount can neither be confirmed nor excluded with current knowledge of its production and reduction mechanisms. The significances of the solar axion and neutrino magnetic moment hypotheses are decreased to 2.0σ and 0.9σ, respectively, if an unconstrained tritium component is included in the fitting. With respect to bosonic dark matter, the excess favors a monoenergetic peak at (2.3±0.2) keV (68% C.L.) with a 3.0σ global (4.0σ local) significance over background. This analysis sets the most restrictive direct constraints to date on pseudoscalar and vector bosonic dark matter for most masses between 1 and 210 keV/c2. We also consider the possibility that Ar37 may be present in the detector, yielding a 2.82 keV peak from electron capture. Contrary to tritium, the Ar37 concentration can be tightly constrained and is found to be negligible.

Journal ArticleDOI
TL;DR: Substantial precision is reached to discriminate between the measurement of the anomalous magnetic moment of the muon and the predictions of dispersive methods, which favours the experimentally measured value over those obtained using the dispersion relation.
Abstract: We compute the leading order hadronic vacuum polarization (LO-HVP) contribution to the anomalous magnetic moment of the muon, $(g_\mu-2)$, using lattice QCD Calculations are performed with four flavors of 4-stout-improved staggered quarks, at physical quark masses and at six values of the lattice spacing down to 0064~fm All strong isospin breaking and electromagnetic effects are accounted for to leading order The infinite-volume limit is taken thanks to simulations performed in volumes of sizes up to 11~fm Our result for the LO-HVP contribution to $(g_\mu-2)$ has a total uncertainty of 08\% Compared to the result of the dispersive approach for this contribution, ours significantly reduces the tension between the standard model prediction for $(g_\mu-2)$ and its measurement

Journal ArticleDOI
15 Oct 2020-Nature
TL;DR: It is suggested that this microglia-driven negative feedback mechanism operates similarly to inhibitory neurons and is essential for protecting the brain from excessive activation in health and disease.
Abstract: Microglia, the brain’s resident macrophages, help to regulate brain function by removing dying neurons, pruning non-functional synapses, and producing ligands that support neuronal survival1. Here we show that microglia are also critical modulators of neuronal activity and associated behavioural responses in mice. Microglia respond to neuronal activation by suppressing neuronal activity, and ablation of microglia amplifies and synchronizes the activity of neurons, leading to seizures. Suppression of neuronal activation by microglia occurs in a highly region-specific fashion and depends on the ability of microglia to sense and catabolize extracellular ATP, which is released upon neuronal activation by neurons and astrocytes. ATP triggers the recruitment of microglial protrusions and is converted by the microglial ATP/ADP hydrolysing ectoenzyme CD39 into AMP; AMP is then converted into adenosine by CD73, which is expressed on microglia as well as other brain cells. Microglial sensing of ATP, the ensuing microglia-dependent production of adenosine, and the adenosine-mediated suppression of neuronal responses via the adenosine receptor A1R are essential for the regulation of neuronal activity and animal behaviour. Our findings suggest that this microglia-driven negative feedback mechanism operates similarly to inhibitory neurons and is essential for protecting the brain from excessive activation in health and disease. Microglia, the brain’s immune cells, suppress neuronal activity in response to synaptic ATP release and alter behavioural responses in mice.

Journal ArticleDOI
T. Aoyama1, Nils Asmussen2, M. Benayoun3, Johan Bijnens4  +146 moreInstitutions (64)
TL;DR: The current status of the Standard Model calculation of the anomalous magnetic moment of the muon has been reviewed in this paper, where the authors present a detailed account of recent efforts to improve the calculation of these two contributions with either a data-driven, dispersive approach, or a first-principle, lattice-QCD approach.
Abstract: We review the present status of the Standard Model calculation of the anomalous magnetic moment of the muon. This is performed in a perturbative expansion in the fine-structure constant $\alpha$ and is broken down into pure QED, electroweak, and hadronic contributions. The pure QED contribution is by far the largest and has been evaluated up to and including $\mathcal{O}(\alpha^5)$ with negligible numerical uncertainty. The electroweak contribution is suppressed by $(m_\mu/M_W)^2$ and only shows up at the level of the seventh significant digit. It has been evaluated up to two loops and is known to better than one percent. Hadronic contributions are the most difficult to calculate and are responsible for almost all of the theoretical uncertainty. The leading hadronic contribution appears at $\mathcal{O}(\alpha^2)$ and is due to hadronic vacuum polarization, whereas at $\mathcal{O}(\alpha^3)$ the hadronic light-by-light scattering contribution appears. Given the low characteristic scale of this observable, these contributions have to be calculated with nonperturbative methods, in particular, dispersion relations and the lattice approach to QCD. The largest part of this review is dedicated to a detailed account of recent efforts to improve the calculation of these two contributions with either a data-driven, dispersive approach, or a first-principle, lattice-QCD approach. The final result reads $a_\mu^\text{SM}=116\,591\,810(43)\times 10^{-11}$ and is smaller than the Brookhaven measurement by 3.7$\sigma$. The experimental uncertainty will soon be reduced by up to a factor four by the new experiment currently running at Fermilab, and also by the future J-PARC experiment. This and the prospects to further reduce the theoretical uncertainty in the near future-which are also discussed here-make this quantity one of the most promising places to look for evidence of new physics.

Journal ArticleDOI
TL;DR: The key result is an abrupt 8.8% decrease in global CO2 emissions in the first half of 2020 compared to the same period in 2019, larger than during previous economic downturns or World War II.
Abstract: The COVID-19 pandemic is impacting human activities, and in turn energy use and carbon dioxide (CO2) emissions. Here we present daily estimates of country-level CO2 emissions for different sectors based on near-real-time activity data. The key result is an abrupt 8.8% decrease in global CO2 emissions (-1551 Mt CO2) in the first half of 2020 compared to the same period in 2019. The magnitude of this decrease is larger than during previous economic downturns or World War II. The timing of emissions decreases corresponds to lockdown measures in each country. By July 1st, the pandemic's effects on global emissions diminished as lockdown restrictions relaxed and some economic activities restarted, especially in China and several European countries, but substantial differences persist between countries, with continuing emission declines in the U.S. where coronavirus cases are still increasing substantially.

Journal ArticleDOI
27 May 2020-Nature
TL;DR: Cryo-electron microscopy reveals the structures of α-synuclein filaments from the brains of individuals with multiple system atrophy, which has implications for understanding the mechanisms of aggregate propagation and neurodegeneration in the human brain.
Abstract: Synucleinopathies, which include multiple system atrophy (MSA), Parkinson’s disease, Parkinson’s disease with dementia and dementia with Lewy bodies (DLB), are human neurodegenerative diseases1. Existing treatments are at best symptomatic. These diseases are characterized by the presence of, and believed to be caused by the formation of, filamentous inclusions of α-synuclein in brain cells2,3. However, the structures of α-synuclein filaments from the human brain are unknown. Here, using cryo-electron microscopy, we show that α-synuclein inclusions from the brains of individuals with MSA are made of two types of filament, each of which consists of two different protofilaments. In each type of filament, non-proteinaceous molecules are present at the interface of the two protofilaments. Using two-dimensional class averaging, we show that α-synuclein filaments from the brains of individuals with MSA differ from those of individuals with DLB, which suggests that distinct conformers or strains characterize specific synucleinopathies. As is the case with tau assemblies4–9, the structures of α-synuclein filaments extracted from the brains of individuals with MSA differ from those formed in vitro using recombinant proteins, which has implications for understanding the mechanisms of aggregate propagation and neurodegeneration in the human brain. These findings have diagnostic and potential therapeutic relevance, especially because of the unmet clinical need to be able to image filamentous α-synuclein inclusions in the human brain. Cryo-electron microscopy reveals the structures of α-synuclein filaments from the brains of individuals with multiple system atrophy.

Journal ArticleDOI
TL;DR: A biomarker based on PD-1 positivity of effector and regulatory T cells in the tumor microenvironment that accurately predicts the effectiveness of checkpoint blockade in patients is developed.
Abstract: Immune checkpoint blockade has provided a paradigm shift in cancer therapy, but the success of this approach is very variable; therefore, biomarkers predictive of clinical efficacy are urgently required. Here, we show that the frequency of PD-1+CD8+ T cells relative to that of PD-1+ regulatory T (Treg) cells in the tumor microenvironment can predict the clinical efficacy of programmed cell death protein 1 (PD-1) blockade therapies and is superior to other predictors, including PD ligand 1 (PD-L1) expression or tumor mutational burden. PD-1 expression by CD8+ T cells and Treg cells negatively impacts effector and immunosuppressive functions, respectively. PD-1 blockade induces both recovery of dysfunctional PD-1+CD8+ T cells and enhanced PD-1+ Treg cell–mediated immunosuppression. A profound reactivation of effector PD-1+CD8+ T cells rather than PD-1+ Treg cells by PD-1 blockade is necessary for tumor regression. These findings provide a promising predictive biomarker for PD-1 blockade therapies. Checkpoint blockade is effective in only a subset of patients; therefore, biomarkers that can predict efficacy would be clinically highly valuable. Nishkawa and colleagues develop a biomarker based on PD-1 positivity of effector and regulatory T cells in the tumor microenvironment that accurately predicts the effectiveness of checkpoint blockade in patients.

Journal ArticleDOI
01 Aug 2020-Gut
TL;DR: TACE plus sorafenib significantly improved PFS over TACE alone in patients with unresectable HCC, and Adverse events were consistent with those of previous TACE combination trials.
Abstract: Objective This trial compared the efficacy and safety of transarterial chemoembolisation (TACE) plus sorafenib with TACE alone using a newly established TACE-specific endpoint and pre-treatment of sorafenib before initial TACE. Design Patients with unresectable hepatocellular carcinoma (HCC) were randomised to TACE plus sorafenib (n=80) or TACE alone (n=76). Patients in the combination group received sorafenib 400 mg once daily for 2–3 weeks before TACE, followed by 800 mg once daily during on-demand conventional TACE sessions until time to untreatable (unTACEable) progression (TTUP), defined as untreatable tumour progression, transient deterioration to Child-Pugh C or appearance of vascular invasion/extrahepatic spread. Co-primary endpoints were progression-free survival (PFS), which is not a conventional one but defined as TTUP, or time to any cause of death plus overall survival (OS). Multiplicity was adjusted by gatekeeping hierarchical testing. Results Median PFS was significantly longer in the TACE plus sorafenib than in the TACE alone group (25.2 vs 13.5 months; p=0.006). OS was not analysed because only 73.6% of OS events were reached. Median TTUP (26.7 vs 20.6 months; p=0.02) was also significantly longer in the TACE plus sorafenib group. OS at 1 year and 2 years in TACE plus sorafenib group and TACE alone group were 96.2% and 82.7% and 77.2% and 64.6%, respectively. There were no unexpected toxicities. Conclusion TACE plus sorafenib significantly improved PFS over TACE alone in patients with unresectable HCC. Adverse events were consistent with those of previous TACE combination trials. Trial registration number NCT01217034.

Journal ArticleDOI
TL;DR: A new range of aerosol radiative forcing over the industrial era is provided based on multiple, traceable, and arguable lines of evidence, including modeling approaches, theoretical considerations, and observations, to constrain the forcing from aerosol‐radiation interactions.
Abstract: Aerosols interact with radiation and clouds. Substantial progress made over the past 40 years in observing, understanding, and modeling these processes helped quantify the imbalance in the Earth’s radiation budget caused by anthropogenic aerosols, called aerosol radiative forcing, but uncertainties remain large. This review provides a new range of aerosol radiative forcing over the industrial era based on multiple, traceable and arguable lines of evidence, including modelling approaches, theoretical considerations, and observations. Improved understanding of aerosol absorption and the causes of trends in surface radiative fluxes constrain the forcing from aerosol-radiation interactions. A robust theoretical foundation and convincing evidence constrain the forcing caused by aerosol-driven increases in liquid cloud droplet number concentration. However, the influence of anthropogenic aerosols on cloud liquid water content and cloud fraction is less clear, and the influence on mixed-phase and ice clouds remains poorly constrained. Observed changes in surface temperature and radiative fluxes provide additional constraints. These multiple lines of evidence lead to a 68% confidence interval for the total aerosol effective radiative forcing of −1.60 to −0.65 W m−2, or −2.0 to −0.4 W m−2 with a 90% likelihood. Those intervals are of similar width to the last Intergovernmental Panel on Climate Change assessment but shifted towards more negative values. The uncertainty will narrow in the future by continuing to critically combine multiple lines of evidence, especially those addressing industrial-era changes in aerosol sources and aerosol effects on liquid cloud amount and on ice clouds.

Journal ArticleDOI
TL;DR: This work proposes operationalized diagnostic criteria for probable and possible mild cognitive impairment with Lewy bodies, which are intended for use in research settings pending validation for Use in clinical practice and are compatible with current criteria for other prodromal neurodegenerative disorders including Alzheimer and Parkinson disease.
Abstract: The prodromal phase of dementia with Lewy bodies (DLB) includes (1) mild cognitive impairment (MCI), (2) delirium-onset, and (3) psychiatric-onset presentations. The purpose of our review is to determine whether there is sufficient information yet available to justify development of diagnostic criteria for each of these. Our goal is to achieve evidence-based recommendations for the recognition of DLB at a predementia, symptomatic stage. We propose operationalized diagnostic criteria for probable and possible mild cognitive impairment with Lewy bodies, which are intended for use in research settings pending validation for use in clinical practice. They are compatible with current criteria for other prodromal neurodegenerative disorders including Alzheimer and Parkinson disease. Although there is still insufficient evidence to propose formal criteria for delirium-onset and psychiatric-onset presentations of DLB, we feel that it is important to characterize them, raising the index of diagnostic suspicion and prioritizing them for further investigation.

Journal ArticleDOI
Georges Aad1, Brad Abbott2, Dale Charles Abbott3, Ovsat Abdinov4  +2934 moreInstitutions (199)
TL;DR: In this article, a search for the electroweak production of charginos and sleptons decaying into final states with two electrons or muons is presented, based on 139.fb$^{-1}$ of proton-proton collisions recorded by the ATLAS detector at the Large Hadron Collider at
Abstract: A search for the electroweak production of charginos and sleptons decaying into final states with two electrons or muons is presented. The analysis is based on 139 fb$^{-1}$ of proton–proton collisions recorded by the ATLAS detector at the Large Hadron Collider at $\sqrt{s}=13$ $\text {TeV}$. Three R-parity-conserving scenarios where the lightest neutralino is the lightest supersymmetric particle are considered: the production of chargino pairs with decays via either W bosons or sleptons, and the direct production of slepton pairs. The analysis is optimised for the first of these scenarios, but the results are also interpreted in the others. No significant deviations from the Standard Model expectations are observed and limits at 95% confidence level are set on the masses of relevant supersymmetric particles in each of the scenarios. For a massless lightest neutralino, masses up to 420 $\text {Ge}\text {V}$ are excluded for the production of the lightest-chargino pairs assuming W-boson-mediated decays and up to 1 $\text {TeV}$ for slepton-mediated decays, whereas for slepton-pair production masses up to 700 $\text {Ge}\text {V}$ are excluded assuming three generations of mass-degenerate sleptons.

Journal ArticleDOI
Kazuyoshi Ishigaki1, Kazuyoshi Ishigaki2, Masato Akiyama3, Masahiro Kanai2, Masahiro Kanai1, Atsushi Takahashi, Eiryo Kawakami4, Hiroki Sugishita, Saori Sakaue5, Saori Sakaue6, Nana Matoba7, Siew-Kee Low8, Yukinori Okada6, Chikashi Terao, Tiffany Amariuta1, Tiffany Amariuta2, Steven Gazal1, Steven Gazal2, Yuta Kochi9, Momoko Horikoshi, Ken Suzuki6, Ken Suzuki5, Kaoru Ito, Satoshi Koyama, Kouichi Ozaki, Shumpei Niida, Yasushi Sakata6, Yasuhiko Sakata10, Takashi Kohno11, Kouya Shiraishi11, Yukihide Momozawa, Makoto Hirata5, Koichi Matsuda5, Masashi Ikeda12, Nakao Iwata12, Shiro Ikegawa, Ikuyo Kou, Toshihiro Tanaka9, Hidewaki Nakagawa, Akari Suzuki, Tomomitsu Hirota, Mayumi Tamari, Kazuaki Chayama13, Daiki Miki13, Masaki Mori3, Satoshi Nagayama8, Yataro Daigo5, Yataro Daigo14, Yoshio Miki8, Toyomasa Katagiri15, Osamu Ogawa16, Wataru Obara17, Hidemi Ito18, Teruhiko Yoshida11, Issei Imoto18, Takashi Takahashi, Chizu Tanikawa5, Takao Suzuki, Nobuaki Sinozaki, Shiro Minami19, Hiroki Yamaguchi19, Satoshi Asai20, Yasuo Takahashi20, Ken Yamaji21, Kazuhisa Takahashi21, Tomoaki Fujioka17, Ryo Takata17, Hideki Yanai, Akihide Masumoto, Yukihiro Koretsune, Hiromu Kutsumi14, Masahiko Higashiyama, Shigeo Murayama, Naoko Minegishi10, Kichiya Suzuki10, Kozo Tanno17, Atsushi Shimizu17, Taiki Yamaji, Motoki Iwasaki, Norie Sawada, Hirokazu Uemura15, Hirokazu Uemura22, Keitaro Tanaka23, Mariko Naito13, Mariko Naito18, Makoto Sasaki17, Kenji Wakai18, Shoichiro Tsugane, Masayuki Yamamoto10, Kazuhiko Yamamoto, Yoshinori Murakami5, Yusuke Nakamura5, Soumya Raychaudhuri2, Soumya Raychaudhuri1, Soumya Raychaudhuri24, Johji Inazawa9, Toshimasa Yamauchi5, Takashi Kadowaki5, Michiaki Kubo, Yoichiro Kamatani5 
TL;DR: A large-scale genome-wide association study in a Japanese population provides insights into the etiology of complex diseases and highlights the importance of performing GWAS in non-European populations.
Abstract: The overwhelming majority of participants in current genetic studies are of European ancestry. To elucidate disease biology in the East Asian population, we conducted a genome-wide association study (GWAS) with 212,453 Japanese individuals across 42 diseases. We detected 320 independent signals in 276 loci for 27 diseases, with 25 novel loci (P < 9.58 × 10-9). East Asian-specific missense variants were identified as candidate causal variants for three novel loci, and we successfully replicated two of them by analyzing independent Japanese cohorts; p.R220W of ATG16L2 (associated with coronary artery disease) and p.V326A of POT1 (associated with lung cancer). We further investigated enrichment of heritability within 2,868 annotations of genome-wide transcription factor occupancy, and identified 378 significant enrichments across nine diseases (false discovery rate < 0.05) (for example, NKX3-1 for prostate cancer). This large-scale GWAS in a Japanese population provides insights into the etiology of complex diseases and highlights the importance of performing GWAS in non-European populations.

Journal ArticleDOI
G. Caria1, Phillip Urquijo1, Iki Adachi2, Iki Adachi3  +228 moreInstitutions (77)
TL;DR: This work constitutes the most precise measurements of R(D) and R (D^{*}) performed to date as well as the first result for R( D) based on a semileptonic tagging method.
Abstract: The experimental results on the ratios of branching fractions $\mathcal{R}(D) = {\cal B}(\bar{B} \to D \tau^- \bar{ u}_{\tau})/{\cal B}(\bar{B} \to D \ell^- \bar{ u}_{\ell})$ and $\mathcal{R}(D^*) = {\cal B}(\bar{B} \to D^* \tau^- \bar{ u}_{\tau})/{\cal B}(\bar{B} \to D^* \ell^- \bar{ u}_{\ell})$, where $\ell$ denotes an electron or a muon, show a long-standing discrepancy with the Standard Model predictions, and might hint to a violation of lepton flavor universality. We report a new simultaneous measurement of $\mathcal{R}(D)$ and $\mathcal{R}(D^*)$, based on a data sample containing $772 \times 10^6$ $B\bar{B}$ events recorded at the $\Upsilon(4S)$ resonance with the Belle detector at the KEKB $e^+ e^-$ collider. In this analysis the tag-side $B$ meson is reconstructed in a semileptonic decay mode and the signal-side $\tau$ is reconstructed in a purely leptonic decay. The measured values are $\mathcal{R}(D)= 0.307 \pm 0.037 \pm 0.016$ and $\mathcal{R}(D^*) = 0.283 \pm 0.018 \pm 0.014$, where the first uncertainties are statistical and the second are systematic. These results are in agreement with the Standard Model predictions within $0.2$, $1.1$ and $0.8$ standard deviations for $\mathcal{R}(D)$, $\mathcal{R}(D^*)$ and their combination, respectively. This work constitutes the most precise measurements of $\mathcal{R}(D)$ and $\mathcal{R}(D^*)$ performed to date as well as the first result for $\mathcal{R}(D)$ based on a semileptonic tagging method.

Journal ArticleDOI
TL;DR: This article provides a comprehensive overview of the main features of the MOLCAS/OpenMolcas code, specifically reviewing the use of the code in previously reported chemical applications as well as more recent applications including the calculation of magnetic properties from optimized density matrix renormalization group wave functions.
Abstract: MOLCAS/OpenMolcas is an ab initio electronic structure program providing a large set of computational methods from Hartree-Fock and density functional theory to various implementations of multiconfigurational theory. This article provides a comprehensive overview of the main features of the code, specifically reviewing the use of the code in previously reported chemical applications as well as more recent applications including the calculation of magnetic properties from optimized density matrix renormalization group wave functions.

Journal ArticleDOI
TL;DR: An evidence-based, joint global consensus guideline approach to the management of Desmoid tumor focussing on molecular genetics, indications for an active treatment, and available systemic therapeutic options is presented.

Journal ArticleDOI
Cassandra N. Spracklen1, Cassandra N. Spracklen2, Momoko Horikoshi, Young Jin Kim, Kuang Lin3, Fiona Bragg3, Sanghoon Moon, Ken Suzuki, Claudia H. T. Tam4, Yasuharu Tabara5, Soo Heon Kwak6, Fumihiko Takeuchi, Jirong Long7, Victor Jun Yu Lim8, Jin-Fang Chai8, Chien-Hsiun Chen9, Masahiro Nakatochi10, Jie Yao11, Jie Yao12, Hyeok Sun Choi13, Apoorva K Iyengar2, Hannah J Perrin2, Sarah M Brotman2, Martijn van de Bunt3, Anna L. Gloyn, Jennifer E. Below7, Jennifer E. Below14, Michael Boehnke15, Donald W. Bowden16, John C. Chambers, Anubha Mahajan17, Anubha Mahajan3, Mark I. McCarthy, Maggie C.Y. Ng16, Maggie C.Y. Ng7, Lauren E. Petty14, Lauren E. Petty7, Weihua Zhang18, Weihua Zhang19, Andrew P. Morris20, Andrew P. Morris3, Andrew P. Morris21, Linda S. Adair2, Masato Akiyama22, Zheng Bian23, Juliana C.N. Chan, Li-Ching Chang9, Miao-Li Chee, Yii-Der Ida Chen12, Yii-Der Ida Chen11, Yuan-Tsong Chen9, Zhengming Chen3, Lee-Ming Chuang24, Shufa Du2, Penny Gordon-Larsen2, Myron D. Gross25, Xiuqing Guo11, Xiuqing Guo12, Yu Guo23, Sohee Han, Annie-Green Howard2, Wei Huang26, Yi-Jen Hung27, Yi-Jen Hung28, Mi Yeong Hwang, Chii-Min Hwu29, Chii-Min Hwu30, Sahoko Ichihara31, Masato Isono, Hye-Mi Jang, Guozhi Jiang4, Jost B. Jonas32, Yoichiro Kamatani33, Tomohiro Katsuya34, Takahisa Kawaguchi5, Chiea Chuen Khor35, Chiea Chuen Khor36, Katsuhiko Kohara37, Myung-Shik Lee38, Myung-Shik Lee39, Nanette R. Lee40, Liming Li41, Jianjun Liu36, Jianjun Liu8, Andrea O.Y. Luk4, Jun Lv41, Yukinori Okada34, Mark A Pereira25, Charumathi Sabanayagam8, Shi Jinxiu25, Dong Mun Shin, Wing-Yee So4, Atsushi Takahashi, Brian Tomlinson42, Brian Tomlinson4, Fuu Jen Tsai43, Rob M. van Dam8, Yong-Bing Xiang44, Ken Yamamoto45, Toshimasa Yamauchi33, Kyungheon Yoon, Canqing Yu41, Jian-Min Yuan46, Liang Zhang, Wei Zheng7, Michiya Igase37, Yoon Shin Cho13, Jerome I. Rotter11, Jerome I. Rotter12, Ya Xing Wang47, Wayne Huey-Herng Sheu27, Wayne Huey-Herng Sheu29, Mitsuhiro Yokota45, Jer-Yuarn Wu9, Ching-Yu Cheng8, Tien Yin Wong8, Xiao-Ou Shu7, Norihiro Kato, Kyong-Soo Park6, Kyong-Soo Park48, Kyong-Soo Park49, E-Shyong Tai8, Fumihiko Matsuda5, Woon-Puay Koh8, Ronald Cw Ma, Shiro Maeda35, Iona Y Millwood3, Ju Young Lee, Takashi Kadowaki33, Robin G. Walters3, Bong-Jo Kim, Karen L. Mohlke2, Xueling Sim8 
11 Jun 2020-Nature
TL;DR: A meta-analysis of genome-wide association study data from 77,418 individuals of East Asian ancestry with type 2 diabetes identifies novel variants associated with increased risk of type 2abetes in both East Asian and European populations.
Abstract: Meta-analyses of genome-wide association studies (GWAS) have identified more than 240 loci that are associated with type 2 diabetes (T2D)1,2; however, most of these loci have been identified in analyses of individuals with European ancestry. Here, to examine T2D risk in East Asian individuals, we carried out a meta-analysis of GWAS data from 77,418 individuals with T2D and 356,122 healthy control individuals. In the main analysis, we identified 301 distinct association signals at 183 loci, and across T2D association models with and without consideration of body mass index and sex, we identified 61 loci that are newly implicated in predisposition to T2D. Common variants associated with T2D in both East Asian and European populations exhibited strongly correlated effect sizes. Previously undescribed associations include signals in or near GDAP1, PTF1A, SIX3, ALDH2, a microRNA cluster, and genes that affect the differentiation of muscle and adipose cells3. At another locus, expression quantitative trait loci at two overlapping T2D signals affect two genes-NKX6-3 and ANK1-in different tissues4-6. Association studies in diverse populations identify additional loci and elucidate disease-associated genes, biology, and pathways.


Journal ArticleDOI
Elena Aprile1, Jelle Aalbers2, F. Agostini3, M. Alfonsi4, L. Althueser5, F. D. Amaro6, V. C. Antochi2, E. Angelino7, J. R. Angevaare8, F. Arneodo9, D. Barge2, Laura Baudis10, Boris Bauermeister2, L. Bellagamba3, M. L. Benabderrahmane9, T. Berger11, April S. Brown10, Ethan Brown11, S. Bruenner8, Giacomo Bruno9, Ran Budnik12, C. Capelli10, João Cardoso6, D. Cichon13, B. Cimmino, M. Clark14, D. Coderre15, Auke-Pieter Colijn8, Jan Conrad2, Jean-Pierre Cussonneau16, M. P. Decowski8, A. Depoian14, P. Di Gangi3, A. Di Giovanni9, R. Di Stefano, Sara Diglio16, A. Elykov15, G. Eurin13, A. D. Ferella17, W. Fulgione7, P. Gaemers8, R. Gaior18, Michelle Galloway10, F. Gao1, L. Grandi19, C. Hasterok13, C. Hils4, Katsuki Hiraide20, L. Hoetzsch13, J. Howlett1, M. Iacovacci, Yoshitaka Itow21, F. Joerg13, N. Kato20, Shingo Kazama21, Masanori Kobayashi1, G. Koltman12, A. Kopec14, H. Landsman12, R. F. Lang14, L. Levinson12, Qing Lin1, Sebastian Lindemann15, Manfred Lindner13, F. Lombardi6, J. Long19, J. A. M. Lopes6, E. López Fune18, C. Macolino22, J. Mahlstedt2, A. Mancuso3, Laura Manenti9, A. Manfredini10, Fabrizio Marignetti, T. Marrodán Undagoitia13, K. Martens20, Julien Masbou16, D. Masson15, S. Mastroianni, M. Messina, Kentaro Miuchi23, Keita Mizukoshi23, A. Molinario, K. Morå2, K. Morå1, Shigetaka Moriyama20, Y. Mosbacher12, M. Murra5, J. Naganoma, Kaixuan Ni24, Uwe Oberlack4, K. Odgers11, J. Palacio13, J. Palacio16, Bart Pelssers2, R. Peres10, J. Pienaar19, V. Pizzella13, Guillaume Plante1, J. Qin14, H. Qiu12, D. Ramírez García15, S. Reichard10, A. Rocchetti15, N. Rupp13, J.M.F. dos Santos6, G. Sartorelli3, N. Šarčević15, M. Scheibelhut4, Jochen Schreiner13, D. Schulte5, Marc Schumann15, L. Scotto Lavina18, M. Selvi3, F. Semeria3, P. Shagin25, E. Shockley19, Manuel Gameiro da Silva6, Hardy Simgen13, Atsushi Takeda20, C. Therreau16, D. Thers16, F. Toschi15, Gian Carlo Trinchero7, C. Tunnell25, Kathrin Valerius26, M. Vargas5, G. Volta10, Han Wang27, Yuehuan Wei24, Ch. Weinheimer5, M. Weiss12, D. Wenz4, C. Wittweg5, Z. Xu1, Masaki Yamashita21, Masaki Yamashita20, J. Ye24, G. Zavattini3, Yanxi Zhang1, T. Zhu1, J. P. Zopounidis18 
TL;DR: In this paper, the authors predict the experimental background and project the sensitivity of XENONnT to the detection of weakly interacting massive particles (WIMPs) in a 4 t fiducial mass.
Abstract: XENONnT is a dark matter direct detection experiment, utilizing 5.9 t of instrumented liquid xenon, located at the INFN Laboratori Nazionali del Gran Sasso. In this work, we predict the experimental background and project the sensitivity of XENONnT to the detection of weakly interacting massive particles (WIMPs). The expected average differential background rate in the energy region of interest, corresponding to (1, 13) keV and (4, 50) keV for electronic and nuclear recoils, amounts to 12.3 ± 0.6 (keV t y)-1 and (2.2± 0.5)× 10−3 (keV t y)-1, respectively, in a 4 t fiducial mass. We compute unified confidence intervals using the profile construction method, in order to ensure proper coverage. With the exposure goal of 20 t y, the expected sensitivity to spin-independent WIMP-nucleon interactions reaches a cross-section of 1.4×10−48 cm2 for a 50 GeV/c2 mass WIMP at 90% confidence level, more than one order of magnitude beyond the current best limit, set by XENON1T . In addition, we show that for a 50 GeV/c2 WIMP with cross-sections above 2.6×10−48 cm2 (5.0×10−48 cm2) the median XENONnT discovery significance exceeds 3σ (5σ). The expected sensitivity to the spin-dependent WIMP coupling to neutrons (protons) reaches 2.2×10−43 cm2 (6.0×10−42 cm2).

Posted ContentDOI
06 Feb 2020-bioRxiv
TL;DR: It is shown that α-synuclein filaments from the brains of patients with MSA and DLB are different, suggesting that distinct conformers (or strains) characterise synucleinopathies, with implications for understanding the mechanisms of aggregate propagation and neurodegeneration in human brain.
Abstract: Synucleinopathies are human neurodegenerative diseases that include multiple system atrophy (MSA), Parkinson9s disease, Parkinson9s disease dementia (PDD) and dementia with Lewy bodies (DLB). Existing treatments are at best symptomatic. These diseases are characterised by the presence in brain cells of filamentous inclusions of α-synuclein, the formation of which is believed to cause disease. However, the structures of α-synuclein filaments from human brain are not known. Here we show, using electron cryo-microscopy, that α-synuclein inclusions from MSA are made of two types of filaments, each of which consists of two different protofilaments. Non-proteinaceous molecules are present at the protofilament interfaces. By two-dimensional class averaging, we show that α-synuclein filaments from the brains of patients with MSA and DLB are different, suggesting that distinct conformers (or strains) characterise synucleinopathies. As was the case of tau assemblies, the structures of α-synuclein filaments extracted from the brains of individuals with MSA differ from those formed in vitro using recombinant proteins, with implications for understanding the mechanisms of aggregate propagation and neurodegeneration in human brain. These findings have diagnostic and potential therapeutic relevance, especially in view of the unmet clinical need to be able to image filamentous α-synuclein inclusions in human brain.

Journal ArticleDOI
03 Apr 2020-Science
TL;DR: An impact experiment on Ryugu is described using Hayabusa2’s Small Carry-on Impactor, which produced an artificial crater with a diameter >10 meters, which has a semicircular shape, an elevated rim, and a central pit, and implications for Ryugu's surface age are discussed.
Abstract: The Hayabusa2 spacecraft investigated the small asteroid Ryugu, which has a rubble-pile structure. We describe an impact experiment on Ryugu using Hayabusa2's Small Carry-on Impactor. The impact produced an artificial crater with a diameter >10 meters, which has a semicircular shape, an elevated rim, and a central pit. Images of the impact and resulting ejecta were recorded by the Deployable CAMera 3 for >8 minutes, showing the growth of an ejecta curtain (the outer edge of the ejecta) and deposition of ejecta onto the surface. The ejecta curtain was asymmetric and heterogeneous and it never fully detached from the surface. The crater formed in the gravity-dominated regime; in other words, crater growth was limited by gravity not surface strength. We discuss implications for Ryugu's surface age.