scispace - formally typeset
Search or ask a question
Institution

Sunnybrook Health Sciences Centre

HealthcareToronto, Ontario, Canada
About: Sunnybrook Health Sciences Centre is a healthcare organization based out in Toronto, Ontario, Canada. It is known for research contribution in the topics: Population & Breast cancer. The organization has 7689 authors who have published 15236 publications receiving 523019 citations. The organization is also known as: Sunnybrook.


Papers
More filters
Journal ArticleDOI
TL;DR: HDL-C level is unlikely to represent a CV-specific risk factor given similarities in its associations with non-CV outcomes, and complex associations exist between HDL-C levels and sociodemographic, lifestyle, comorbidity factors, and mortality.

231 citations

Journal ArticleDOI
TL;DR: Investigation of more quantitative, objective methods of analysing the film-screen mammogram found measures of the skewness of the image brightness histogram, and of image texture characterized by the fractal dimension strongly correlated with radiologists' subjective classifications of mammographic parenchyma.
Abstract: Information derived from mammographic parenchymal patterns provides one of the strongest indicators of the risk of developing breast cancer. To address several limitations of subjective classification of mammographic parenchyma into coarse density categories, we have been investigating more quantitative, objective methods of analysing the film-screen mammogram. These include measures of the skewness of the image brightness histogram, and of image texture characterized by the fractal dimension. Both measures were found to be strongly correlated with radiologists' subjective classifications of mammographic parenchyma (Spearman correlation coefficients, Rs = -0.88 and -0.76 for skewness and fractal dimension measurements, respectively). Further, neither measure was strongly dependent on simulated changes in mammographic technique. Correlation with subjective classification of mammographic density was better when both the skewness and fractal measures were used in combination than when either was used alone. This suggests that each feature provides some independent information.

231 citations

Journal ArticleDOI
Lasse Folkersen1, Stefan Gustafsson2, Qin Wang3, Qin Wang4, Daniel Hvidberg Hansen, Åsa K Hedman5, Åsa K Hedman6, Andrew J. Schork7, Andrew J. Schork8, Karen Page6, Daria V. Zhernakova9, Yang Wu10, James E. Peters, Niclas Eriksson2, Sarah E Bergen11, Thibaud Boutin12, Andrew D. Bretherick12, Stefan Enroth2, Anette Kalnapenkis13, Jesper R. Gådin1, Bianca E. Suur1, Yan Chen1, Ljubica Perisic Matic1, Jeremy D. Gale6, Julie Lee6, Weidong Zhang6, Amira Quazi6, Mika Ala-Korpela, Seung Hoan Choi14, Annique Claringbould9, John Danesh, George Davey Smith15, Federico De Masi, Sölve Elmståhl16, Gunnar Engström16, Eric B. Fauman6, Céline Fernandez16, Lude Franke9, Paul W. Franks16, Vilmantas Giedraitis17, Chris Haley12, Anders Hamsten1, Andres Ingason8, Åsa Johansson2, Peter K. Joshi18, Lars Lind19, Cecilia M. Lindgren, Steven A. Lubitz14, Steven A. Lubitz20, Tom Palmer21, Erin Macdonald-Dunlop18, Martin Magnusson, Olle Melander16, Karl Michaëlsson19, Andrew P. Morris, Reedik Mägi13, Michael W. Nagle6, Peter M. Nilsson16, Jan Nilsson16, Marju Orho-Melander16, Ozren Polasek22, Bram P. Prins23, Erik Pålsson24, Ting Qi10, Marketa Sjögren16, Johan Sundström17, Johan Sundström25, Praveen Surendran, Urmo Võsa13, Thomas Werge8, Rasmus Wernersson, Harm-Jan Westra, Jian Yang, Alexandra Zhernakova, Johan Ärnlöv1, Jingyuan Fu9, J. Gustav Smith16, Tõnu Esko14, Tõnu Esko13, Caroline Hayward12, Ulf Gyllensten2, Mikael Landén24, Agneta Siegbahn17, James F. Wilson18, James F. Wilson12, Lars Wallentin17, Adam S. Butterworth, Michael V. Holmes26, Michael V. Holmes27, Erik Ingelsson28, Anders Mälarstig6, Anders Mälarstig1 
16 Oct 2020
TL;DR: The utility of large-scale mapping of the genetics of the proteome is demonstrated and pQTLs are provided as a resource for future precision studies of circulating proteins in human health.
Abstract: Circulating proteins are vital in human health and disease and are frequently used as biomarkers for clinical decision-making or as targets for pharmacological intervention. Here, we map and replicate protein quantitative trait loci (pQTL) for 90 cardiovascular proteins in over 30,000 individuals, resulting in 451 pQTLs for 85 proteins. For each protein, we further perform pathway mapping to obtain trans-pQTL gene and regulatory designations. We substantiate these regulatory findings with orthogonal evidence for trans-pQTLs using mouse knockdown experiments (ABCA1 and TRIB1) and clinical trial results (chemokine receptors CCR2 and CCR5), with consistent regulation. Finally, we evaluate known drug targets, and suggest new target candidates or repositioning opportunities using Mendelian randomization. This identifies 11 proteins with causal evidence of involvement in human disease that have not previously been targeted, including EGF, IL-16, PAPPA, SPON1, F3, ADM, CASP-8, CHI3L1, CXCL16, GDF15 and MMP-12. Taken together, these findings demonstrate the utility of large-scale mapping of the genetics of the proteome and provide a resource for future precision studies of circulating proteins in human health.

230 citations

Journal ArticleDOI
TL;DR: Over the range of parameters tested,BBB disruption is not affected by PRF or ultrasound contrast agent dose, however, both the BBB disruption magnitude and its threshold depend on the burst length.
Abstract: Previously, it was shown that low-intensity focused ultrasound pulses applied along with an ultrasound contrast agent results in temporary blood-brain barrier (BBB) disruption. This effect could be used for targeted drug delivery in the central nervous system. This study examined the effects of burst length, pulse repetition frequency (PRF), and ultrasound contrast agent dose on the resulting BBB disruption. One hundred nonoverlapping brain locations were sonicated through a craniotomy in experiments in 26 rabbits (ultrasound frequency: 0.69 MHz, burst: 0.1, 1, 10 ms, PRF: 0.5, 1, 2, 5 Hz, duration: 20 s, peak negative pressure amplitude: 0.1 to 1.5 MPa, Optison dosage 50, 100, 250 microl/kg). For each sonication, BBB disruption was evaluated using contrast-enhanced magnetic resonance imaging. The BBB disruption threshold (the pressure amplitude yielding a 50% probability for BBB disruption) was determined using probit regression for the three burst lengths tested. Tissue effects were examined in light microscopy for representative locations with similar amounts of contrast enhancement from each group. While changing the PRF or the Optison dosage did not result in a significant difference in the magnitude of the BBB disruption (p > 0.05), reducing the burst length resulted in significantly less contrast enhancement (p < 0.01). The BBB disruption thresholds were estimated to be 0.69, 0.47 and 0.36 MPa for 0.1, 1 and 10 ms bursts, respectively. No difference was detected in histology between any experimental groups. This data suggests that over the range of parameters tested, BBB disruption is not affected by PRF or ultrasound contrast agent dose. However, both the BBB disruption magnitude and its threshold depend on the burst length.

230 citations

Journal ArticleDOI
TL;DR: A drug that was being marketed for weight loss, but being tested for improving cardiovascular outcomes, induced a level of serious neuropsychiatric effects that was deemed unacceptable by regulatory authorities, and both the drug and the trial were abruptly terminated.

229 citations


Authors

Showing all 7765 results

NameH-indexPapersCitations
Gordon B. Mills1871273186451
David A. Bennett1671142109844
Bruce R. Rosen14868497507
Robert Tibshirani147593326580
Steven A. Narod13497084638
Peter Palese13252657882
Gideon Koren129199481718
John B. Holcomb12073353760
Julie A. Schneider11849256843
Patrick Maisonneuve11858253363
Mitch Dowsett11447862453
Ian D. Graham11370087848
Peter C. Austin11265760156
Sandra E. Black10468151755
Michael B. Yaffe10237941663
Network Information
Related Institutions (5)
Mayo Clinic
169.5K papers, 8.1M citations

92% related

VU University Medical Center
22.9K papers, 1.1M citations

91% related

Brigham and Women's Hospital
110.5K papers, 6.8M citations

91% related

Rush University Medical Center
29K papers, 1.3M citations

91% related

Beth Israel Deaconess Medical Center
52.5K papers, 2.9M citations

91% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202324
2022103
20211,627
20201,385
20191,171
20181,044