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Showing papers by "University of Pennsylvania published in 2017"


Journal ArticleDOI
12 Oct 2017-Nature
TL;DR: It is found that local genetic variation affects gene expression levels for the majority of genes, and inter-chromosomal genetic effects for 93 genes and 112 loci are identified, enabling a mechanistic interpretation of gene regulation and the genetic basis of disease.
Abstract: Characterization of the molecular function of the human genome and its variation across individuals is essential for identifying the cellular mechanisms that underlie human genetic traits and diseases. The Genotype-Tissue Expression (GTEx) project aims to characterize variation in gene expression levels across individuals and diverse tissues of the human body, many of which are not easily accessible. Here we describe genetic effects on gene expression levels across 44 human tissues. We find that local genetic variation affects gene expression levels for the majority of genes, and we further identify inter-chromosomal genetic effects for 93 genes and 112 loci. On the basis of the identified genetic effects, we characterize patterns of tissue specificity, compare local and distal effects, and evaluate the functional properties of the genetic effects. We also demonstrate that multi-tissue, multi-individual data can be used to identify genes and pathways affected by human disease-associated variation, enabling a mechanistic interpretation of gene regulation and the genetic basis of disease.

3,289 citations


Proceedings Article
04 Apr 2017
TL;DR: The Message Passing Neural Networks (MPNNs) as mentioned in this paper are a generalization of the message passing algorithm and aggregation procedure to compute a function of their entire input graph, and have been shown to achieve state-of-the-art results on an important molecular property prediction benchmark.
Abstract: Supervised learning on molecules has incredible potential to be useful in chemistry, drug discovery, and materials science. Luckily, several promising and closely related neural network models invariant to molecular symmetries have already been described in the literature. These models learn a message passing algorithm and aggregation procedure to compute a function of their entire input graph. At this point, the next step is to find a particularly effective variant of this general approach and apply it to chemical prediction benchmarks until we either solve them or reach the limits of the approach. In this paper, we reformulate existing models into a single common framework we call Message Passing Neural Networks (MPNNs) and explore additional novel variations within this framework. Using MPNNs we demonstrate state of the art results on an important molecular property prediction benchmark; these results are strong enough that we believe future work should focus on datasets with larger molecules or more accurate ground truth labels.

3,219 citations


Journal ArticleDOI
Ian G. McKeith, Bradley F. Boeve, Dennis W. Dickson, Glenda M. Halliday, John-Paul Taylor1, Daniel Weintraub2, Dag Aarsland3, Dag Aarsland1, James E. Galvin2, Johannes Attems4, Johannes Attems5, Clive Ballard2, Clive Ballard5, Ashley Bayston2, Ashley Bayston5, Thomas G. Beach1, Thomas G. Beach6, Frédéric Blanc7, Nicolaas Bohnen8, Nicolaas Bohnen9, Nicolaas Bohnen10, Laura Bonanni1, Laura Bonanni3, Jose Bras1, Jose Bras3, Patrik Brundin1, Patrik Brundin3, David J. Burn3, David J. Burn1, Alice Chen-Plotkin3, John E. Duda11, Omar M. A. El-Agnaf, Howard Feldman12, Tanis J. Ferman, Dominic Ffytche13, Hiroshige Fujishiro14, Douglas Galasko15, Jennifer G. Goldman16, Stephen N. Gomperts16, Neill R. Graff-Radford, Lawrence S. Honig17, Lawrence S. Honig18, Alex Iranzo19, Alex Iranzo20, Alex Iranzo21, Kejal Kantarci, Daniel I. Kaufer11, Walter Kukull22, Virginia M.Y. Lee23, James B. Leverenz17, James B. Leverenz18, Simon J.G. Lewis2, Carol F. Lippa18, Carol F. Lippa17, Angela Lunde3, M Masellis21, M Masellis20, M Masellis19, Eliezer Masliah, Pamela J. McLean, Brit Mollenhauer4, Brit Mollenhauer24, Thomas J. Montine25, Thomas J. Montine26, Emilio Moreno27, Emilio Moreno2, Emilio Moreno28, Etsuro Mori27, Etsuro Mori28, Etsuro Mori2, Melissa E. Murray, John T. O'Brien28, John T. O'Brien27, Sotoshi Orimo27, Sotoshi Orimo28, Ronald B. Postuma28, Ronald B. Postuma27, Shankar Ramaswamy27, Shankar Ramaswamy28, Owen A. Ross, David P. Salmon26, David P. Salmon25, Andrew B. Singleton26, Andrew B. Singleton25, Angela Taylor4, Angela Taylor24, Alan Thomas16, Pietro Tiraboschi, Jon B. Toledo, John Q. Trojanowski, Debby W. Tsuang8, Zuzana Walker25, Zuzana Walker10, Masahito Yamada9, Masahito Yamada26, Kenji Kosaka 
TL;DR: The Dementia with Lewy Bodies (DLB) Consortium has refined its recommendations about the clinical and pathologic diagnosis of DLB, updating the previous report, which has been in widespread use for the last decade.
Abstract: The Dementia with Lewy Bodies (DLB) Consortium has refined its recommendations about the clinical and pathologic diagnosis of DLB, updating the previous report, which has been in widespread use for the last decade. The revised DLB consensus criteria now distinguish clearly between clinical features and diagnostic biomarkers, and give guidance about optimal methods to establish and interpret these. Substantial new information has been incorporated about previously reported aspects of DLB, with increased diagnostic weighting given to REM sleep behavior disorder and 123iodine-metaiodobenzylguanidine (MIBG) myocardial scintigraphy. The diagnostic role of other neuroimaging, electrophysiologic, and laboratory investigations is also described. Minor modifications to pathologic methods and criteria are recommended to take account of Alzheimer disease neuropathologic change, to add previously omitted Lewy-related pathology categories, and to include assessments for substantia nigra neuronal loss. Recommendations about clinical management are largely based upon expert opinion since randomized controlled trials in DLB are few. Substantial progress has been made since the previous report in the detection and recognition of DLB as a common and important clinical disorder. During that period it has been incorporated into DSM-5, as major neurocognitive disorder with Lewy bodies. There remains a pressing need to understand the underlying neurobiology and pathophysiology of DLB, to develop and deliver clinical trials with both symptomatic and disease-modifying agents, and to help patients and carers worldwide to inform themselves about the disease, its prognosis, best available treatments, ongoing research, and how to get adequate support.

2,558 citations


Proceedings ArticleDOI
21 Jul 2017
TL;DR: A unified implementation of the Faster R-CNN, R-FCN and SSD systems is presented and the speed/accuracy trade-off curve created by using alternative feature extractors and varying other critical parameters such as image size within each of these meta-architectures is traced out.
Abstract: The goal of this paper is to serve as a guide for selecting a detection architecture that achieves the right speed/memory/accuracy balance for a given application and platform. To this end, we investigate various ways to trade accuracy for speed and memory usage in modern convolutional object detection systems. A number of successful systems have been proposed in recent years, but apples-toapples comparisons are difficult due to different base feature extractors (e.g., VGG, Residual Networks), different default image resolutions, as well as different hardware and software platforms. We present a unified implementation of the Faster R-CNN [30], R-FCN [6] and SSD [25] systems, which we view as meta-architectures and trace out the speed/accuracy trade-off curve created by using alternative feature extractors and varying other critical parameters such as image size within each of these meta-architectures. On one extreme end of this spectrum where speed and memory are critical, we present a detector that achieves real time speeds and can be deployed on a mobile device. On the opposite end in which accuracy is critical, we present a detector that achieves state-of-the-art performance measured on the COCO detection task.

2,484 citations


Journal ArticleDOI
TL;DR: Pembrolizumab was associated with significantly longer overall survival and with a lower rate of treatment‐related adverse events than chemotherapy as second‐line therapy for platinum‐refractory advanced urothelial carcinoma.
Abstract: BackgroundPatients with advanced urothelial carcinoma that progresses after platinum-based chemotherapy have a poor prognosis and limited treatment options. MethodsIn this open-label, international, phase 3 trial, we randomly assigned 542 patients with advanced urothelial cancer that recurred or progressed after platinum-based chemotherapy to receive pembrolizumab (a highly selective, humanized monoclonal IgG4κ isotype antibody against programmed death 1 [PD-1]) at a dose of 200 mg every 3 weeks or the investigator’s choice of chemotherapy with paclitaxel, docetaxel, or vinflunine. The coprimary end points were overall survival and progression-free survival, which were assessed among all patients and among patients who had a tumor PD-1 ligand (PD-L1) combined positive score (the percentage of PD-L1–expressing tumor and infiltrating immune cells relative to the total number of tumor cells) of 10% or more. ResultsThe median overall survival in the total population was 10.3 months (95% confidence interval [C...

2,362 citations


Posted Content
TL;DR: Using MPNNs, state of the art results on an important molecular property prediction benchmark are demonstrated and it is believed future work should focus on datasets with larger molecules or more accurate ground truth labels.
Abstract: Supervised learning on molecules has incredible potential to be useful in chemistry, drug discovery, and materials science. Luckily, several promising and closely related neural network models invariant to molecular symmetries have already been described in the literature. These models learn a message passing algorithm and aggregation procedure to compute a function of their entire input graph. At this point, the next step is to find a particularly effective variant of this general approach and apply it to chemical prediction benchmarks until we either solve them or reach the limits of the approach. In this paper, we reformulate existing models into a single common framework we call Message Passing Neural Networks (MPNNs) and explore additional novel variations within this framework. Using MPNNs we demonstrate state of the art results on an important molecular property prediction benchmark; these results are strong enough that we believe future work should focus on datasets with larger molecules or more accurate ground truth labels.

2,184 citations


Journal ArticleDOI
TL;DR: This work argues for the adoption of measures to optimize key elements of the scientific process: methods, reporting and dissemination, reproducibility, evaluation and incentives, in the hope that this will facilitate action toward improving the transparency, reproducible and efficiency of scientific research.
Abstract: Improving the reliability and efficiency of scientific research will increase the credibility of the published scientific literature and accelerate discovery. Here we argue for the adoption of measures to optimize key elements of the scientific process: methods, reporting and dissemination, reproducibility, evaluation and incentives. There is some evidence from both simulations and empirical studies supporting the likely effectiveness of these measures, but their broad adoption by researchers, institutions, funders and journals will require iterative evaluation and improvement. We discuss the goals of these measures, and how they can be implemented, in the hope that this will facilitate action toward improving the transparency, reproducibility and efficiency of scientific research.

1,951 citations


Journal ArticleDOI
TL;DR: Among patients with HER2‐negative metastatic breast cancer and a germline BRCA mutation, Olaparib monotherapy provided a significant benefit over standard therapy; median progression‐free survival was 2.8 months longer and the risk of disease progression or death was 42% lower with olaparIB monotherapy than with standard therapy.
Abstract: BackgroundOlaparib is an oral poly(adenosine diphosphate–ribose) polymerase inhibitor that has promising antitumor activity in patients with metastatic breast cancer and a germline BRCA mutation. MethodsWe conducted a randomized, open-label, phase 3 trial in which olaparib monotherapy was compared with standard therapy in patients with a germline BRCA mutation and human epidermal growth factor receptor type 2 (HER2)–negative metastatic breast cancer who had received no more than two previous chemotherapy regimens for metastatic disease. Patients were randomly assigned, in a 2:1 ratio, to receive olaparib tablets (300 mg twice daily) or standard therapy with single-agent chemotherapy of the physician’s choice (capecitabine, eribulin, or vinorelbine in 21-day cycles). The primary end point was progression-free survival, which was assessed by blinded independent central review and was analyzed on an intention-to-treat basis. ResultsOf the 302 patients who underwent randomization, 205 were assigned to receive...

1,927 citations


Journal ArticleDOI
Seth Flaxman1, Rupert R A Bourne2, Serge Resnikoff3, Serge Resnikoff4, Peter Ackland5, Tasanee Braithwaite6, Maria V Cicinelli, Aditi Das7, Jost B. Jonas8, Jill E Keeffe9, John H. Kempen10, Janet L Leasher11, Hans Limburg, Kovin Naidoo3, Kovin Naidoo12, Konrad Pesudovs13, Alexander J Silvester, Gretchen A Stevens14, Nina Tahhan3, Nina Tahhan4, Tien Yin Wong15, Hugh R. Taylor16, Rupert R A Bourne2, Aries Arditi, Yaniv Barkana, Banu Bozkurt17, Alain M. Bron, Donald L. Budenz18, Feng Cai, Robert J Casson19, Usha Chakravarthy20, Jaewan Choi, Maria Vittoria Cicinelli, Nathan Congdon20, Reza Dana21, Rakhi Dandona22, Lalit Dandona23, Iva Dekaris, Monte A. Del Monte24, Jenny deva25, Laura E. Dreer26, Leon B. Ellwein27, Marcela Frazier26, Kevin D. Frick28, David S. Friedman28, João M. Furtado29, H. Gao30, Gus Gazzard31, Ronnie George32, Stephen Gichuhi33, Victor H. Gonzalez, Billy R. Hammond34, Mary Elizabeth Hartnett35, Minguang He16, James F. Hejtmancik, Flavio E. Hirai36, John J Huang37, April D. Ingram38, Jonathan C. Javitt28, Jost B. Jonas8, Charlotte E. Joslin39, John H Kempen10, Moncef Khairallah, Rohit C Khanna9, Judy E. Kim40, George N. Lambrou41, Van C. Lansingh, Paolo Lanzetta42, Jennifer I. Lim43, Kaweh Mansouri, Anu A. Mathew44, Alan R. Morse, Beatriz Munoz, David C. Musch24, Vinay Nangia, Maria Palaiou10, Maurizio Battaglia Parodi, Fernando Yaacov Pena, Tunde Peto20, Harry A. Quigley, Murugesan Raju45, Pradeep Y. Ramulu46, Zane Rankin15, Dana Reza21, Alan L. Robin23, Luca Rossetti47, Jinan B. Saaddine46, Mya Sandar15, Janet B. Serle48, Tueng T. Shen23, Rajesh K. Shetty49, Pamela C. Sieving27, Juan Carlos Silva50, Rita S. Sitorus51, Dwight Stambolian52, Gretchen Stevens14, Hugh Taylor16, Jaime Tejedor, James M. Tielsch28, Miltiadis K. Tsilimbaris53, Jan C. van Meurs, Rohit Varma54, Gianni Virgili55, Ya Xing Wang56, Ningli Wang56, Sheila K. West, Peter Wiedemann57, Tien Wong15, Richard Wormald6, Yingfeng Zheng15 
Imperial College London1, Anglia Ruskin University2, Brien Holden Vision Institute3, University of New South Wales4, International Agency for the Prevention of Blindness5, Moorfields Eye Hospital6, York Hospital7, Heidelberg University8, L V Prasad Eye Institute9, Massachusetts Eye and Ear Infirmary10, Nova Southeastern University11, University of KwaZulu-Natal12, National Health and Medical Research Council13, World Health Organization14, National University of Singapore15, University of Melbourne16, Selçuk University17, University of Miami18, University of Adelaide19, Queen's University Belfast20, Harvard University21, The George Institute for Global Health22, University of Washington23, University of Michigan24, Universiti Tunku Abdul Rahman25, University of Alabama at Birmingham26, National Institutes of Health27, Johns Hopkins University28, University of São Paulo29, Henry Ford Health System30, University College London31, Sankara Nethralaya32, University of Nairobi33, University of Georgia34, University of Utah35, Federal University of São Paulo36, Yale University37, Alberta Children's Hospital38, University of Illinois at Chicago39, Medical College of Wisconsin40, Novartis41, University of Udine42, University of Illinois at Urbana–Champaign43, Royal Children's Hospital44, University of Missouri45, Centers for Disease Control and Prevention46, University of Milan47, Icahn School of Medicine at Mount Sinai48, Mayo Clinic49, Pan American Health Organization50, University of Indonesia51, University of Pennsylvania52, University of Crete53, University of Southern California54, University of Florence55, Capital Medical University56, Leipzig University57
TL;DR: A series of regression models were fitted to estimate the proportion of moderate or severe vision impairment and blindness by cause, age, region, and year, and found that world regions varied markedly in the causes of blindness and vision impairment in this age group.

1,909 citations


Journal ArticleDOI
TL;DR: This guideline is intended to provide new and updated evidence-based recommendations for the prevention of SSI and should be incorporated into comprehensive surgical quality improvement programs to improve patient safety.
Abstract: Importance The human and financial costs of treating surgical site infections (SSIs) are increasing. The number of surgical procedures performed in the United States continues to rise, and surgical patients are initially seen with increasingly complex comorbidities. It is estimated that approximately half of SSIs are deemed preventable using evidence-based strategies. Objective To provide new and updated evidence-based recommendations for the prevention of SSI. Evidence Review A targeted systematic review of the literature was conducted in MEDLINE, EMBASE, CINAHL, and the Cochrane Library from 1998 through April 2014. A modified Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach was used to assess the quality of evidence and the strength of the resulting recommendation and to provide explicit links between them. Of 5759 titles and abstracts screened, 896 underwent full-text review by 2 independent reviewers. After exclusions, 170 studies were extracted into evidence tables, appraised, and synthesized. Findings Before surgery, patients should shower or bathe (full body) with soap (antimicrobial or nonantimicrobial) or an antiseptic agent on at least the night before the operative day. Antimicrobial prophylaxis should be administered only when indicated based on published clinical practice guidelines and timed such that a bactericidal concentration of the agents is established in the serum and tissues when the incision is made. In cesarean section procedures, antimicrobial prophylaxis should be administered before skin incision. Skin preparation in the operating room should be performed using an alcohol-based agent unless contraindicated. For clean and clean-contaminated procedures, additional prophylactic antimicrobial agent doses should not be administered after the surgical incision is closed in the operating room, even in the presence of a drain. Topical antimicrobial agents should not be applied to the surgical incision. During surgery, glycemic control should be implemented using blood glucose target levels less than 200 mg/dL, and normothermia should be maintained in all patients. Increased fraction of inspired oxygen should be administered during surgery and after extubation in the immediate postoperative period for patients with normal pulmonary function undergoing general anesthesia with endotracheal intubation. Transfusion of blood products should not be withheld from surgical patients as a means to prevent SSI. Conclusions and Relevance This guideline is intended to provide new and updated evidence-based recommendations for the prevention of SSI and should be incorporated into comprehensive surgical quality improvement programs to improve patient safety.

1,895 citations


Journal ArticleDOI
TL;DR: Clinicians should only consider opioids as an option in patients who have failed the aforementioned treatments and only if the potential benefits outweigh the risks for individual patients and after a discussion of known risks and realistic benefits with patients.
Abstract: This guideline from the ACP provides clinical recommendations about noninvasive pharmacologic and nonpharmacologic treatment of low back pain.

Journal ArticleDOI
TL;DR: This set of labels and features should enable direct utilization of the TCGA/TCIA glioma collections towards repeatable, reproducible and comparative quantitative studies leading to new predictive, prognostic, and diagnostic assessments, as well as performance evaluation of computer-aided segmentation methods.
Abstract: Gliomas belong to a group of central nervous system tumors, and consist of various sub-regions. Gold standard labeling of these sub-regions in radiographic imaging is essential for both clinical and computational studies, including radiomic and radiogenomic analyses. Towards this end, we release segmentation labels and radiomic features for all pre-operative multimodal magnetic resonance imaging (MRI) (n=243) of the multi-institutional glioma collections of The Cancer Genome Atlas (TCGA), publicly available in The Cancer Imaging Archive (TCIA). Pre-operative scans were identified in both glioblastoma (TCGA-GBM, n=135) and low-grade-glioma (TCGA-LGG, n=108) collections via radiological assessment. The glioma sub-region labels were produced by an automated state-of-the-art method and manually revised by an expert board-certified neuroradiologist. An extensive panel of radiomic features was extracted based on the manually-revised labels. This set of labels and features should enable i) direct utilization of the TCGA/TCIA glioma collections towards repeatable, reproducible and comparative quantitative studies leading to new predictive, prognostic, and diagnostic assessments, as well as ii) performance evaluation of computer-aided segmentation methods, and comparison to our state-of-the-art method.

Journal ArticleDOI
TL;DR: This 2017 Consensus Statement is to provide a state-of-the-art review of the field of catheter and surgical ablation of AF and to report the findings of a writing group, convened by these five international societies.

Journal ArticleDOI
TL;DR: The presence of CHIP in peripheral‐blood cells was associated with nearly a doubling in the risk of coronary heart disease in humans and with accelerated atherosclerosis in mice.
Abstract: BackgroundClonal hematopoiesis of indeterminate potential (CHIP), which is defined as the presence of an expanded somatic blood-cell clone in persons without other hematologic abnormalities, is common among older persons and is associated with an increased risk of hematologic cancer. We previously found preliminary evidence for an association between CHIP and atherosclerotic cardiovascular disease, but the nature of this association was unclear. MethodsWe used whole-exome sequencing to detect the presence of CHIP in peripheral-blood cells and associated such presence with coronary heart disease using samples from four case–control studies that together enrolled 4726 participants with coronary heart disease and 3529 controls. To assess causality, we perturbed the function of Tet2, the second most commonly mutated gene linked to clonal hematopoiesis, in the hematopoietic cells of atherosclerosis-prone mice. ResultsIn nested case–control analyses from two prospective cohorts, carriers of CHIP had a risk of c...

Journal ArticleDOI
TL;DR: Recent scientific progress and global commitments to early childhood development are examined, with new neuroscientific evidence linking early adversity and nurturing care with brain development and function throughout the life course.

Journal ArticleDOI
TL;DR: It is shown here that patients with depression can be subdivided into four neurophysiological subtypes defined by distinct patterns of dysfunctional connectivity in limbic and frontostriatal networks, which may be useful for identifying the individuals who are most likely to benefit from targeted neurostimulation therapies.
Abstract: Biomarkers have transformed modern medicine but remain largely elusive in psychiatry, partly because there is a weak correspondence between diagnostic labels and their neurobiological substrates. Like other neuropsychiatric disorders, depression is not a unitary disease, but rather a heterogeneous syndrome that encompasses varied, co-occurring symptoms and divergent responses to treatment. By using functional magnetic resonance imaging (fMRI) in a large multisite sample (n = 1,188), we show here that patients with depression can be subdivided into four neurophysiological subtypes (‘biotypes’) defined by distinct patterns of dysfunctional connectivity in limbic and frontostriatal networks. Clustering patients on this basis enabled the development of diagnostic classifiers (biomarkers) with high (82–93%) sensitivity and specificity for depression subtypes in multisite validation (n = 711) and out-of-sample replication (n = 477) data sets. These biotypes cannot be differentiated solely on the basis of clinical features, but they are associated with differing clinical-symptom profiles. They also predict responsiveness to transcranial magnetic stimulation therapy (n = 154). Our results define novel subtypes of depression that transcend current diagnostic boundaries and may be useful for identifying the individuals who are most likely to benefit from targeted neurostimulation therapies.

Journal ArticleDOI
Rupert R A Bourne1, Seth Flaxman2, Tasanee Braithwaite1, Maria V Cicinelli, Aditi Das, Jost B. Jonas3, Jill E Keeffe4, John H Kempen5, Janet L Leasher6, Hans Limburg, Kovin Naidoo7, Kovin Naidoo8, Konrad Pesudovs9, Serge Resnikoff7, Serge Resnikoff10, Alexander J Silvester11, Gretchen A Stevens12, Nina Tahhan7, Nina Tahhan10, Tien Yin Wong13, Hugh R. Taylor14, Rupert R A Bourne1, Peter Ackland, Aries Arditi, Yaniv Barkana, Banu Bozkurt15, Alain M. Bron16, Donald L. Budenz17, Feng Cai, Robert J Casson18, Usha Chakravarthy19, Jaewan Choi, Maria Vittoria Cicinelli, Nathan Congdon19, Reza Dana20, Rakhi Dandona21, Lalit Dandona22, Iva Dekaris, Monte A. Del Monte23, Jenny deva24, Laura Dreer25, Leon B. Ellwein26, Marcela Frazier25, Kevin D. Frick27, David S. Friedman27, João M. Furtado28, H. Gao29, Gus Gazzard30, Ronnie George, Stephen Gichuhi31, Victor H. Gonzalez, Billy R. Hammond32, Mary Elizabeth Hartnett33, Minguang He14, James F. Hejtmancik26, Flavio E. Hirai34, John J Huang35, April D. Ingram36, Jonathan C. Javitt27, Jost B. Jonas3, Charlotte E. Joslin, John H. Kempen37, John H. Kempen20, Moncef Khairallah, Rohit C Khanna4, Judy E. Kim38, George N. Lambrou39, Van C. Lansingh, Paolo Lanzetta40, Jennifer I. Lim41, Kaweh Mansouri, Anu A. Mathew42, Alan R. Morse, Beatriz Munoz27, David C. Musch23, Vinay Nangia, Maria Palaiou20, Maurizio Battaglia Parodi, Fernando Yaacov Pena42, Tunde Peto19, Harry A. Quigley27, Murugesan Raju43, Pradeep Y. Ramulu27, Alan L. Robin27, Luca Rossetti44, Jinan B. Saaddine45, Mya Sandar46, Janet B. Serle47, Tueng T. Shen22, Rajesh K. Shetty48, Pamela C. Sieving26, Juan Carlos Silva49, Rita S. Sitorus50, Dwight Stambolian37, Gretchen Stevens12, Hugh Taylor14, Jaime Tejedor, James M. Tielsch27, Miltiadis K. Tsilimbaris51, Jan C. van Meurs52, Rohit Varma53, Gianni Virgili54, Jimmy Volmink55, Ya Xing Wang, Ningli Wang56, Sheila K. West27, Peter Wiedemann57, Tien Wong13, Richard Wormald58, Yingfeng Zheng46 
Anglia Ruskin University1, University of Oxford2, Heidelberg University3, L V Prasad Eye Institute4, Massachusetts Eye and Ear Infirmary5, Nova Southeastern University6, Brien Holden Vision Institute7, University of KwaZulu-Natal8, Flinders University9, University of New South Wales10, Royal Liverpool University Hospital11, World Health Organization12, National University of Singapore13, University of Melbourne14, Selçuk University15, University of Burgundy16, University of Miami17, University of Adelaide18, Queen's University Belfast19, Harvard University20, The George Institute for Global Health21, University of Washington22, University of Michigan23, Universiti Tunku Abdul Rahman24, University of Alabama25, National Institutes of Health26, Johns Hopkins University27, University of São Paulo28, Henry Ford Health System29, University College London30, University of Nairobi31, University of Georgia32, University of Utah33, Federal University of São Paulo34, Yale University35, Alberta Children's Hospital36, University of Pennsylvania37, Medical College of Wisconsin38, Novartis39, University of Udine40, University of Illinois at Urbana–Champaign41, Royal Children's Hospital42, University of Missouri43, University of Milan44, Centers for Disease Control and Prevention45, Singapore National Eye Center46, Icahn School of Medicine at Mount Sinai47, Mayo Clinic48, Pan American Health Organization49, University of Indonesia50, University of Crete51, Erasmus University Rotterdam52, University of Southern California53, University of Florence54, Stellenbosch University55, Capital Medical University56, Leipzig University57, Moorfields Eye Hospital58
TL;DR: There is an ongoing reduction in the age-standardised prevalence of blindness and visual impairment, yet the growth and ageing of the world's population is causing a substantial increase in number of people affected, highlighting the need to scale up vision impairment alleviation efforts at all levels.

Journal ArticleDOI
Aviv Regev1, Aviv Regev2, Aviv Regev3, Sarah A. Teichmann4, Sarah A. Teichmann5, Sarah A. Teichmann6, Eric S. Lander3, Eric S. Lander7, Eric S. Lander2, Ido Amit8, Christophe Benoist7, Ewan Birney5, Bernd Bodenmiller9, Bernd Bodenmiller5, Peter J. Campbell4, Peter J. Campbell6, Piero Carninci6, Menna R. Clatworthy10, Hans Clevers11, Bart Deplancke12, Ian Dunham5, James Eberwine13, Roland Eils14, Roland Eils15, Wolfgang Enard16, Andrew Farmer, Lars Fugger17, Berthold Göttgens6, Nir Hacohen2, Nir Hacohen7, Muzlifah Haniffa18, Martin Hemberg4, Seung K. Kim19, Paul Klenerman20, Paul Klenerman17, Arnold R. Kriegstein21, Ed S. Lein22, Sten Linnarsson23, Emma Lundberg19, Emma Lundberg24, Joakim Lundeberg24, Partha P. Majumder, John C. Marioni6, John C. Marioni5, John C. Marioni4, Miriam Merad25, Musa M. Mhlanga26, Martijn C. Nawijn27, Mihai G. Netea28, Garry P. Nolan19, Dana Pe'er29, Anthony Phillipakis2, Chris P. Ponting30, Stephen R. Quake19, Wolf Reik6, Wolf Reik31, Wolf Reik4, Orit Rozenblatt-Rosen2, Joshua R. Sanes7, Rahul Satija32, Ton N. Schumacher33, Alex K. Shalek34, Alex K. Shalek2, Alex K. Shalek3, Ehud Shapiro8, Padmanee Sharma35, Jay W. Shin, Oliver Stegle5, Michael R. Stratton4, Michael J. T. Stubbington4, Fabian J. Theis36, Matthias Uhlen37, Matthias Uhlen24, Alexander van Oudenaarden11, Allon Wagner38, Fiona M. Watt39, Jonathan S. Weissman, Barbara J. Wold40, Ramnik J. Xavier, Nir Yosef38, Nir Yosef34, Human Cell Atlas Meeting Participants 
05 Dec 2017-eLife
TL;DR: An open comprehensive reference map of the molecular state of cells in healthy human tissues would propel the systematic study of physiological states, developmental trajectories, regulatory circuitry and interactions of cells, and also provide a framework for understanding cellular dysregulation in human disease.
Abstract: The recent advent of methods for high-throughput single-cell molecular profiling has catalyzed a growing sense in the scientific community that the time is ripe to complete the 150-year-old effort to identify all cell types in the human body. The Human Cell Atlas Project is an international collaborative effort that aims to define all human cell types in terms of distinctive molecular profiles (such as gene expression profiles) and to connect this information with classical cellular descriptions (such as location and morphology). An open comprehensive reference map of the molecular state of cells in healthy human tissues would propel the systematic study of physiological states, developmental trajectories, regulatory circuitry and interactions of cells, and also provide a framework for understanding cellular dysregulation in human disease. Here we describe the idea, its potential utility, early proofs-of-concept, and some design considerations for the Human Cell Atlas, including a commitment to open data, code, and community.

Journal ArticleDOI
19 Dec 2017-JAMA
TL;DR: In the final analysis of this randomized clinical trial of patients with glioblastoma who had received standard radiochemotherapy, the addition of TTFields to maintenance temozolomide chemotherapy vs maintenance Temozolmide alone, resulted in statistically significant improvement in progression-free survival and overall survival.
Abstract: Importance Tumor-treating fields (TTFields) is an antimitotic treatment modality that interferes with glioblastoma cell division and organelle assembly by delivering low-intensity alternating electric fields to the tumor. Objective To investigate whether TTFields improves progression-free and overall survival of patients with glioblastoma, a fatal disease that commonly recurs at the initial tumor site or in the central nervous system. Design, Setting, and Participants In this randomized, open-label trial, 695 patients with glioblastoma whose tumor was resected or biopsied and had completed concomitant radiochemotherapy (median time from diagnosis to randomization, 3.8 months) were enrolled at 83 centers (July 2009-2014) and followed up through December 2016. A preliminary report from this trial was published in 2015; this report describes the final analysis. Interventions Patients were randomized 2:1 to TTFields plus maintenance temozolomide chemotherapy (n = 466) or temozolomide alone (n = 229). The TTFields, consisting of low-intensity, 200 kHz frequency, alternating electric fields, was delivered (≥ 18 hours/d) via 4 transducer arrays on the shaved scalp and connected to a portable device. Temozolomide was administered to both groups (150-200 mg/m2) for 5 days per 28-day cycle (6-12 cycles). Main Outcomes and Measures Progression-free survival (tested at α = .046). The secondary end point was overall survival (tested hierarchically at α = .048). Analyses were performed for the intent-to-treat population. Adverse events were compared by group. Results Of the 695 randomized patients (median age, 56 years; IQR, 48-63; 473 men [68%]), 637 (92%) completed the trial. Median progression-free survival from randomization was 6.7 months in the TTFields-temozolomide group and 4.0 months in the temozolomide-alone group (HR, 0.63; 95% CI, 0.52-0.76;P Conclusions and Relevance In the final analysis of this randomized clinical trial of patients with glioblastoma who had received standard radiochemotherapy, the addition of TTFields to maintenance temozolomide chemotherapy vs maintenance temozolomide alone, resulted in statistically significant improvement in progression-free survival and overall survival. These results are consistent with the previous interim analysis. Trial Registration clinicaltrials.gov Identifier:NCT00916409

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Andrew I R Maas1, David K. Menon2, P. David Adelson3, Nada Andelic4  +339 moreInstitutions (110)
TL;DR: The InTBIR Participants and Investigators have provided informed consent for the study to take place in Poland.
Abstract: Additional co-authors: Endre Czeiter, Marek Czosnyka, Ramon Diaz-Arrastia, Jens P Dreier, Ann-Christine Duhaime, Ari Ercole, Thomas A van Essen, Valery L Feigin, Guoyi Gao, Joseph Giacino, Laura E Gonzalez-Lara, Russell L Gruen, Deepak Gupta, Jed A Hartings, Sean Hill, Ji-yao Jiang, Naomi Ketharanathan, Erwin J O Kompanje, Linda Lanyon, Steven Laureys, Fiona Lecky, Harvey Levin, Hester F Lingsma, Marc Maegele, Marek Majdan, Geoffrey Manley, Jill Marsteller, Luciana Mascia, Charles McFadyen, Stefania Mondello, Virginia Newcombe, Aarno Palotie, Paul M Parizel, Wilco Peul, James Piercy, Suzanne Polinder, Louis Puybasset, Todd E Rasmussen, Rolf Rossaint, Peter Smielewski, Jeannette Soderberg, Simon J Stanworth, Murray B Stein, Nicole von Steinbuchel, William Stewart, Ewout W Steyerberg, Nino Stocchetti, Anneliese Synnot, Braden Te Ao, Olli Tenovuo, Alice Theadom, Dick Tibboel, Walter Videtta, Kevin K W Wang, W Huw Williams, Kristine Yaffe for the InTBIR Participants and Investigators

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TL;DR: The subcommittee reviewed the prevalence, incidence, risk factors, natural history, morbidity and questionnaires reported in epidemiological studies of dry eye disease and confirmed that prevalence increases with age, however signs showed a greater increase per decade than symptoms.
Abstract: The subcommittee reviewed the prevalence, incidence, risk factors, natural history, morbidity and questionnaires reported in epidemiological studies of dry eye disease (DED). A meta-analysis of published prevalence data estimated the impact of age and sex. Global mapping of prevalence was undertaken. The prevalence of DED ranged from 5 to 50%. The prevalence of signs was higher and more variable than symptoms. There were limited prevalence studies in youth and in populations south of the equator. The meta-analysis confirmed that prevalence increases with age, however signs showed a greater increase per decade than symptoms. Women have a higher prevalence of DED than men, although differences become significant only with age. Risk factors were categorized as modifiable/non-modifiable, and as consistent, probable or inconclusive. Asian ethnicity was a mostly consistent risk factor. The economic burden and impact of DED on vision, quality of life, work productivity, psychological and physical impact of pain, are considerable, particularly costs due to reduced work productivity. Questionnaires used to evaluate DED vary in their utility. Future research should establish the prevalence of disease of varying severity, the incidence in different populations and potential risk factors such as youth and digital device usage. Geospatial mapping might elucidate the impact of climate, environment and socioeconomic factors. Given the limited study of the natural history of treated and untreated DED, this remains an important area for future research.

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TL;DR: An agreement of basic nutritional terminology to be used in clinical practice, research, and the ESPEN guideline developments has been established and may help to support future global consensus efforts and updates of classification systems such as the International Classification of Disease.

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TL;DR: These findings guide which normalization and differential abundance techniques to use based on the data characteristics of a given study.
Abstract: Data from 16S ribosomal RNA (rRNA) amplicon sequencing present challenges to ecological and statistical interpretation. In particular, library sizes often vary over several ranges of magnitude, and the data contains many zeros. Although we are typically interested in comparing relative abundance of taxa in the ecosystem of two or more groups, we can only measure the taxon relative abundance in specimens obtained from the ecosystems. Because the comparison of taxon relative abundance in the specimen is not equivalent to the comparison of taxon relative abundance in the ecosystems, this presents a special challenge. Second, because the relative abundance of taxa in the specimen (as well as in the ecosystem) sum to 1, these are compositional data. Because the compositional data are constrained by the simplex (sum to 1) and are not unconstrained in the Euclidean space, many standard methods of analysis are not applicable. Here, we evaluate how these challenges impact the performance of existing normalization methods and differential abundance analyses. Effects on normalization: Most normalization methods enable successful clustering of samples according to biological origin when the groups differ substantially in their overall microbial composition. Rarefying more clearly clusters samples according to biological origin than other normalization techniques do for ordination metrics based on presence or absence. Alternate normalization measures are potentially vulnerable to artifacts due to library size. Effects on differential abundance testing: We build on a previous work to evaluate seven proposed statistical methods using rarefied as well as raw data. Our simulation studies suggest that the false discovery rates of many differential abundance-testing methods are not increased by rarefying itself, although of course rarefying results in a loss of sensitivity due to elimination of a portion of available data. For groups with large (~10×) differences in the average library size, rarefying lowers the false discovery rate. DESeq2, without addition of a constant, increased sensitivity on smaller datasets ( 20 samples per group) but also critically the only method tested that has a good control of false discovery rate. These findings guide which normalization and differential abundance techniques to use based on the data characteristics of a given study.

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TL;DR: The authors present the ACR TI-RADS Committee's recommendations, which provide guidance regarding management of thyroid nodules on the basis of their ultrasound appearance, and describe the committee's future directions.
Abstract: Thyroid nodules are a frequent finding on neck sonography. Most nodules are benign; therefore, many nodules are biopsied to identify the small number that are malignant or require surgery for a definitive diagnosis. Since 2009, many professional societies and investigators have proposed ultrasound-based risk stratification systems to identify nodules that warrant biopsy or sonographic follow-up. Because some of these systems were founded on the BI-RADS® classification that is widely used in breast imaging, their authors chose to apply the acronym TI-RADS, for Thyroid Imaging, Reporting and Data System. In 2012, the ACR convened committees to (1) provide recommendations for reporting incidental thyroid nodules, (2) develop a set of standard terms (lexicon) for ultrasound reporting, and (3) propose a TI-RADS on the basis of the lexicon. The committees published the results of the first two efforts in 2015. In this article, the authors present the ACR TI-RADS Committee's recommendations, which provide guidance regarding management of thyroid nodules on the basis of their ultrasound appearance. The authors also describe the committee's future directions.

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TL;DR: CTL019 cells can be effective in the treatment of relapsed or refractory diffuse large B‐cell lymphoma and follicular lymphoma, and high rates of durable remission were observed, with recovery of B cells and immunoglobulins in some patients.
Abstract: BackgroundPatients with diffuse large B-cell lymphoma or follicular lymphoma that is refractory to or that relapses after immunochemotherapy and transplantation have a poor prognosis. High response rates have been reported with the use of T cells modified by chimeric antigen receptor (CAR) that target CD19 in B-cell cancers, although data regarding B-cell lymphomas are limited. MethodsWe used autologous T cells that express a CD19-directed CAR (CTL019) to treat patients with diffuse large B-cell lymphoma or follicular lymphoma that had relapsed or was refractory to previous treatments. Patients were monitored for response to treatment, toxic effects, the expansion and persistence of CTL019 cells in vivo, and immune recovery. ResultsA total of 28 adult patients with lymphoma received CTL019 cells, and 18 of 28 had a response (64%; 95% confidence interval [CI], 44 to 81). Complete remission occurred in 6 of 14 patients with diffuse large B-cell lymphoma (43%; 95% CI, 18 to 71) and 10 of 14 patients with fol...

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TL;DR: SDSS-IV as mentioned in this paper is a project encompassing three major spectroscopic programs: the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA), the Extended Baryon Oscillation Spectroscopic Survey (eBOSS), and the Time Domain Spectroscopy Survey (TDSS).
Abstract: We describe the Sloan Digital Sky Survey IV (SDSS-IV), a project encompassing three major spectroscopic programs. The Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2) is observing hundreds of thousands of Milky Way stars at high resolution and high signal-to-noise ratios in the near-infrared. The Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey is obtaining spatially resolved spectroscopy for thousands of nearby galaxies (median $z\sim 0.03$). The extended Baryon Oscillation Spectroscopic Survey (eBOSS) is mapping the galaxy, quasar, and neutral gas distributions between $z\sim 0.6$ and 3.5 to constrain cosmology using baryon acoustic oscillations, redshift space distortions, and the shape of the power spectrum. Within eBOSS, we are conducting two major subprograms: the SPectroscopic IDentification of eROSITA Sources (SPIDERS), investigating X-ray AGNs and galaxies in X-ray clusters, and the Time Domain Spectroscopic Survey (TDSS), obtaining spectra of variable sources. All programs use the 2.5 m Sloan Foundation Telescope at the Apache Point Observatory; observations there began in Summer 2014. APOGEE-2 also operates a second near-infrared spectrograph at the 2.5 m du Pont Telescope at Las Campanas Observatory, with observations beginning in early 2017. Observations at both facilities are scheduled to continue through 2020. In keeping with previous SDSS policy, SDSS-IV provides regularly scheduled public data releases; the first one, Data Release 13, was made available in 2016 July.

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04 May 2017-Nature
TL;DR: Blood profiling of peripheral blood from patients with stage IV melanoma before and after treatment with the PD-1-targeting antibody pembrolizumab is used to identify pharmacodynamic changes in circulating exhausted-phenotype CD8 T cells (Tex cells) and identify a clinically accessible potential on-treatment predictor of response to PD- 1 blockade.
Abstract: Despite the success of monotherapies based on blockade of programmed cell death 1 (PD-1) in human melanoma, most patients do not experience durable clinical benefit. Pre-existing T-cell infiltration and/or the presence of PD-L1 in tumours may be used as indicators of clinical response; however, blood-based profiling to understand the mechanisms of PD-1 blockade has not been widely explored. Here we use immune profiling of peripheral blood from patients with stage IV melanoma before and after treatment with the PD-1-targeting antibody pembrolizumab and identify pharmacodynamic changes in circulating exhausted-phenotype CD8 T cells (Tex cells). Most of the patients demonstrated an immunological response to pembrolizumab. Clinical failure in many patients was not solely due to an inability to induce immune reinvigoration, but rather resulted from an imbalance between T-cell reinvigoration and tumour burden. The magnitude of reinvigoration of circulating Tex cells determined in relation to pretreatment tumour burden correlated with clinical response. By focused profiling of a mechanistically relevant circulating T-cell subpopulation calibrated to pretreatment disease burden, we identify a clinically accessible potential on-treatment predictor of response to PD-1 blockade.

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TL;DR: The initial experience with CAR T cells in recurrent GBM suggests that although intravenous infusion results in on-target activity in the brain, overcoming the adaptive changes in the local tumor microenvironment and addressing the antigen heterogeneity may improve the efficacy of EGFRvIII-directed strategies in GBM.
Abstract: We conducted a first-in-human study of intravenous delivery of a single dose of autologous T cells redirected to the epidermal growth factor receptor variant III (EGFRvIII) mutation by a chimeric antigen receptor (CAR). We report our findings on the first 10 recurrent glioblastoma (GBM) patients treated. We found that manufacturing and infusion of CAR-modified T cell (CART)–EGFRvIII cells are feasible and safe, without evidence of off-tumor toxicity or cytokine release syndrome. One patient has had residual stable disease for over 18 months of follow-up. All patients demonstrated detectable transient expansion of CART-EGFRvIII cells in peripheral blood. Seven patients had post–CART-EGFRvIII surgical intervention, which allowed for tissue-specific analysis of CART-EGFRvIII trafficking to the tumor, phenotyping of tumor-infiltrating T cells and the tumor microenvironment in situ, and analysis of post-therapy EGFRvIII target antigen expression. Imaging findings after CART immunotherapy were complex to interpret, further reinforcing the need for pathologic sampling in infused patients. We found trafficking of CART-EGFRvIII cells to regions of active GBM, with antigen decrease in five of these seven patients. In situ evaluation of the tumor environment demonstrated increased and robust expression of inhibitory molecules and infiltration by regulatory T cells after CART-EGFRvIII infusion, compared to pre–CART-EGFRvIII infusion tumor specimens. Our initial experience with CAR T cells in recurrent GBM suggests that although intravenous infusion results in on-target activity in the brain, overcoming the adaptive changes in the local tumor microenvironment and addressing the antigen heterogeneity may improve the efficacy of EGFRvIII-directed strategies in GBM.

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TL;DR: Treatments for obesity include behavioral therapy, pharmacotherapy, and bariatric surgery, and some sequelae of obesity are reversed with weight loss.
Abstract: Obesity is prevalent in the U.S. population and contributes significantly to morbidity and mortality. Treatments include behavioral therapy, pharmacotherapy, and bariatric surgery. Some sequelae of obesity are reversed with weight loss. Maintaining weight loss is a challenge.