Search

Your search keyword '"Emanuele Trucco"' showing total 463 results
Start Over Author "Emanuele Trucco"
463 results on '"Emanuele Trucco"'

51. A new polygenic score for refractive error improves detection of children at risk of high myopia but not the prediction of those at risk of myopic macular degeneration

Author

Rosie Clark, Samantha Sze-Yee Lee, Ran Du, Yining Wang, Sander C.M. Kneepkens, Jason Charng, Yu Huang, Michael L. Hunter, Chen Jiang, J.Willem L. Tideman, Ronald B. Melles, Caroline C.W. Klaver, David A. Mackey, Cathy Williams, Hélène Choquet, Kyoko Ohno-Matsui, Jeremy A. Guggenheim, Joan E. Bailey-Wilson, Paul N. Baird, Veluchamy A. Barathi, Ginevra Biino, Kathryn P. Burdon, Harry Campbell, Li Jia Chen, Ching-Yu Cheng, Emily Y. Chew, Jamie E. Craig, Margaret M. Deangelis, Cécile Delcourt, Xiaohu Ding, Qiao Fan, Maurizio Fossarello, Paul J. Foster, Puya Gharahkhani, Xiaobo Guo, Annechien E.G. Haarman, Toomas Haller, Christopher J. Hammond, Xikun Han, Caroline Hayward, Mingguang He, Alex W. Hewitt, Quan Hoang, Pirro G. Hysi, Adriana I. Iglesias, Robert P. Igo, Sudha K. Iyengar, Jost B. Jonas, Mika Kähönen, Jaakko Kaprio, Anthony P. Khawaja, Barbara E. Klein, Jonathan H. Lass, Kris Lee, Terho Lehtimäki, Deyana Lewis, Qing Li, Shi-Ming Li, Leo-Pekka Lyytikäinen, Stuart MacGregor, Nicholas G. Martin, Akira Meguro, Andres Metspalu, Candace Middlebrooks, Masahiro Miyake, Nobuhisa Mizuki, Anthony Musolf, Stefan Nickels, Konrad Oexle, Chi Pui Pang, Olavi Pärssinen, Andrew D. Paterson, Norbert Pfeiffer, Ozren Polasek, Jugnoo S. Rahi, Olli Raitakari, Igor Rudan, Srujana Sahebjada, Seang-Mei Saw, Claire L. Simpson, Dwight Stambolian, E-Shyong Tai, Milly S. Tedja, J. Willem L. Tideman, Akitaka Tsujikawa, Cornelia M. van Duijn, Virginie J.M. Verhoeven, Veronique Vitart, Ningli Wang, Ya Xing Wang, Juho Wedenoja, Wen Bin Wei, Katie M. Williams, James F. Wilson, Robert Wojciechowski, Jason C.S. Yam, Kenji Yamashiro, Maurice K.H. Yap, Seyhan Yazar, Shea Ping Yip, Terri L. Young, Xiangtian Zhou, Naomi Allen, Tariq Aslam, Denize Atan, Sarah Barman, Jenny Barrett, Paul Bishop, Graeme Black, Catey Bunce, Roxana Carare, Usha Chakravarthy, Michelle Chan, Sharon Chua, Valentina Cipriani, Alexander Day, Parul Desai, Bal Dhillon, Andrew Dick, Alexander Doney, Cathy Egan, Sarah Ennis, Paul Foster, Marcus Fruttiger, John Gallacher, David Garway-Heath, Jane Gibson, Dan Gore, Jeremy Guggenheim, Chris Hammond, Alison Hardcastle, Simon Harding, Ruth Hogg, Pirro Hysi, Pearse A. Keane, Peng Tee Khaw, Anthony Khawaja, Gerassimos Lascaratos, Thomas Littlejohns, Andrew Lotery, Phil Luthert, Tom MacGillivray, Sarah Mackie, Bernadette McGuinness, Gareth McKay, Martin McKibbin, Danny Mitry, Tony Moore, James Morgan, Zaynah Muthy, Eoin O'Sullivan, Chris Owen, Praveen Patel, Euan Paterson, Tunde Peto, Axel Petzold, Nikolas Pontikos, Jugnoo Rahi, Alicja Rudnicka, Jay Self, Panagiotis Sergouniotis, Sobha Sivaprasad, David Steel, Irene Stratton, Nicholas Strouthidis, Cathie Sudlow, Robyn Tapp, Caroline Thaung, Dhanes Thomas, Emanuele Trucco, Adnan Tufail, Stephen Vernon, Ananth Viswanathan, Katie Williams, Jayne Woodside, Max Yates, Jennifer Yip, Yalin Zheng, Neurology, Ophthalmology, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Neuroinfection & -inflammation, Epidemiology, Clinical Genetics, and Erasmus MC other

Subjects
All institutes and research themes of the Radboud University Medical Center, General Medicine, General Biochemistry, Genetics and Molecular Biology, Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12]
Abstract

Contains fulltext : 292919.pdf (Publisher’s version ) (Open Access) BACKGROUND: High myopia (HM), defined as a spherical equivalent refractive error (SER) ≤ -6.00 diopters (D), is a leading cause of sight impairment, through myopic macular degeneration (MMD). We aimed to derive an improved polygenic score (PGS) for predicting children at risk of HM and to test if a PGS is predictive of MMD after accounting for SER. METHODS: The PGS was derived from genome-wide association studies in participants of UK Biobank, CREAM Consortium, and Genetic Epidemiology Research on Adult Health and Aging. MMD severity was quantified by a deep learning algorithm. Prediction of HM was quantified as the area under the receiver operating curve (AUROC). Prediction of severe MMD was assessed by logistic regression. FINDINGS: In independent samples of European, African, South Asian and East Asian ancestry, the PGS explained 19% (95% confidence interval 17-21%), 2% (1-3%), 8% (7-10%) and 6% (3-9%) of the variation in SER, respectively. The AUROC for HM in these samples was 0.78 (0.75-0.81), 0.58 (0.53-0.64), 0.71 (0.69-0.74) and 0.67 (0.62-0.72), respectively. The PGS was not associated with the risk of MMD after accounting for SER: OR = 1.07 (0.92-1.24). INTERPRETATION: Performance of the PGS approached the level required for clinical utility in Europeans but not in other ancestries. A PGS for refractive error was not predictive of MMD risk once SER was accounted for. FUNDING: Supported by the Welsh Government and Fight for Sight (24WG201).

Published
2023

71. The Association of Alcohol Consumption with Glaucoma and Related Traits

Author

Kelsey V. Stuart, Robert N. Luben, Alasdair N. Warwick, Kian M. Madjedi, Praveen J. Patel, Mahantesh I. Biradar, Zihan Sun, Mark A. Chia, Louis R. Pasquale, Janey L. Wiggs, Jae H. Kang, Jihye Kim, Hugues Aschard, Jessica H. Tran, Marleen A.H. Lentjes, Paul J. Foster, Anthony P. Khawaja, Mark Chia, Sharon Chua, Ron Do, Paul Foster, Jae Kang, Alan Kastner, Anthony Khawaja, Marleen Lentjes, Robert Luben, Kian Madjedi, Giovanni Montesano, Louis Pasquale, Kelsey Stuart, Alasdair Warwick, Janey Wiggs, Naomi Allen, Tariq Aslam, Denize Atan, Sarah Barman, Jenny Barrett, Paul Bishop, Graeme Black, Tasanee Braithwaite, Roxana Carare, Usha Chakravarthy, Michelle Chan, Alexander Day, Parul Desai, Bal Dhillon, Andrew Dick, Alexander Doney, Cathy Egan, Sarah Ennis, Marcus Fruttiger, John Gallacher, David (Ted) Garway-Heath, Jane Gibson, Jeremy Guggenheim, Chris Hammond, Alison Hardcastle, Simon Harding, Ruth Hogg, Pirro Hysi, Pearse Keane, Peng Tee Khaw, Gerassimos Lascaratos, Thomas Littlejohns, Andrew Lotery, Phil Luthert, Tom MacGillivray, Sarah Mackie, Bernadette McGuinness, Gareth McKay, Martin McKibbin, Tony Moore, James Morgan, Eoin O'Sullivan, Richard Oram, Chris Owen, Praveen Patel, Euan Paterson, Tunde Peto, Axel Petzold, Nikolas Pontikos, Jugnoo Rahi, Alicja Rudnicka, Naveed Sattar, Jay Self, Panagiotis Sergouniotis, Sobha Sivaprasad, David Steel, Irene Stratton, Nicholas Strouthidis, Cathie Sudlow, Robyn Tapp, Dhanes Thomas, Emanuele Trucco, Adnan Tufail, Ananth Viswanathan, Veronique Vitart, Mike Weedon, Katie Williams, Cathy Williams, Jayne Woodside, Max Yates, Jennifer Yip, Yalin Zheng, Tin Aung, Kathryn Burdon, Li Chen, Ching-Yu Cheng, Jamie Craig, Angela Cree, Victor de Vries, Sjoerd Driessen, John Fingert, Puya Gharahkhani, Christopher Hammond, Caroline Hayward, Alex Hewitt, Nomdo Jansonius, Fridbert Jonansson, Jost Jonas, Michael Kass, Chiea Khor, Caroline Klaver, Jacyline Koh, Stuart MacGregor, David Mackey, Paul Mitchell, Calvin Pang, Francesca Pasutto, Norbert Pfeiffer, Ozren Polašek, Wishal Ramdas, Alexander Schuster, Ayellet Segrè, Einer Stefansson, Kári Stefánsson, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Cornelia van Duijn, Joëlle Vergroesen, Eranga Vithana, James Wilson, Robert Wojciechowski, Tien Wong, and Terri Young

Subjects
General Medicine
Published
2022

89. The association between serum lipids and intraocular pressure in 2 large United Kingdom cohorts

Author

Kian M. Madjedi, Kelsey V. Stuart, Sharon Y.L. Chua, Robert N. Luben, Alasdair Warwick, Louis R. Pasquale, Jae H. Kang, Janey L. Wiggs, Marleen A.H. Lentjes, Hugues Aschard, Naveed Sattar, Paul J. Foster, Anthony P. Khawaja, Mark Chia, Ron Do, Alan Kastner, Jihye Kim, Giovanni Montesano, Denize Atan, Tariq Aslam, Sarah A. Barman, Jenny H. Barrett, Paul Bishop, Peter Blows, Catey Bunce, Roxana O. Carare, Usha Chakravarthy, Michelle Chan, David P. Crabb, Philippa M. Cumberland, Alexander Day, Parul Desai, Bal Dhillon, Andrew D. Dick, Cathy Egan, Sarah Ennis, Paul Foster, Marcus Fruttiger, John E.J. Gallacher, David F. Garway-Heath, Jane Gibson, Dan Gore, Jeremy A. Guggenheim, Chris J. Hammond, Alison Hardcastle, Simon P. Harding, Ruth E. Hogg, Pirro Hysi, Pearse A. Keane, Sir Peng T. Khaw, Gerassimos Lascaratos, Andrew J. Lotery, Tom Macgillivray, Sarah Mackie, Keith Martin, Michelle McGaughey, Bernadette McGuinness, Gareth J. McKay, Martin McKibbin, Danny Mitry, Tony Moore, James E. Morgan, Zaynah A. Muthy, Eoin O’Sullivan, Chris G. Owen, Praveen Patel, Euan Paterson, Tunde Peto, Axel Petzold, Jugnoo S. Rahi, Alicja R. Rudnikca, Jay Self, Sobha Sivaprasad, David Steel, Irene Stratton, Nicholas Strouthidis, Cathie Sudlow, Dhanes Thomas, Emanuele Trucco, Adnan Tufail, Veronique Vitart, Stephen A. Vernon, Ananth C. Viswanathan, Cathy Williams, Katie Williams, Jayne V. Woodside, MaxM. Yates, Jennifer Yip, Yalin Zheng, NIHR Biomedical Research Centre [London], Guy's and St Thomas' NHS Foundation Trust-King‘s College London, University of Calgary, University of Cambridge [UK] (CAM), University College of London [London] (UCL), Icahn School of Medicine at Mount Sinai [New York] (MSSM), Harvard Medical School [Boston] (HMS), Örebro University, Institut Pasteur [Paris] (IP), University of Glasgow, Supported by UCL Overseas Research Scholarship (K.V.S.), Fight for Sight, London, United Kingdom (grant no.: 1956A [K.V.S.]), The Desmond Foundation (K.V.S.), the Wellcome Trust (grant no.: 220558/Z/20/Z [A.W.]), Alcon (P.J.F.), United Kingdom Research and Innovation Future Leaders Fellowship (A.P.K.), Moorfields Eye Charity (Springboard Award [R.N.L.] and Career Development Fellowship [A.P.K.]), the National Eye Institute, National Institutes of Health, Bethesda, Maryland (grant nos.: EY015473 [L.R.P.], EY032559 [L.R.P.], [J.L.W.]), Research to Prevent Blindness, Inc., New York, New York (Challenge Grant [L.R.P., J.L.W.]), The Glaucoma Foundation, New York, New York (L.R.P.), Astra Zeneca (N.S.), Boehringer Ingelheim (N.S.), Novartis (N.S.), Roche Diagnostics (N.S.), Association for Research in Vision and Ophthalmology Foundation (David Epstein Award [J.L.W.]), and UK Research and Innovation Future Leaders Fellowship (Medical Research Council grant no.: MR/T040912/1 [A.P.K.]). The authors acknowledge a proportion of their financial support from the United Kingdom Department of Health through an award made by the National Institute for Health Research to Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology for a Biomedical Research Centre for Ophthalmology. This research used data from the UK Biobank Resource under data access request nos. 2112 and 36741. The UK Biobank Eye and Vision Consortium is supported by grants from Moorfields Eye Charity, The NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, the Alcon Research Institute, and the International Glaucoma Association (United Kingdom). The EPIC-Norfolk study was supported by the Medical Research Council, United Kingdom (grant nos.: SP2024/0201 and MR/N003284/1), and Cancer Research United Kingdom (grant nos.: G9502233 and C864/A8257)., Neurology, Ophthalmology, APH - Mental Health, APH - Methodology, and Amsterdam Neuroscience - Neuroinfection & -inflammation

Subjects
Intraocular pressure, Cholesterol, HDL, Glaucoma, Cholesterol, LDL, Middle Aged, Lipids, United Kingdom, Ophthalmology, Cross-Sectional Studies, Cholesterol, SDG 3 - Good Health and Well-being, RA0421, Risk Factors, Humans, RE, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Prospective Studies, Triglycerides, Aged
Abstract

Purpose: Serum lipids are modifiable, routinely collected blood test features associated with cardiovascular health. We examined the association of commonly collected serum lipid measures (total cholesterol [TC], high-density lipoprotein cholesterol [HDL-C], low-density lipoprotein cholesterol [LDL-C], and triglycerides) with intraocular pressure (IOP). Design: Cross-sectional study in the UK Biobank and European Prospective Investigation into Cancer and Nutrition (EPIC)-Norfolk cohorts. Participants: We included 94 323 participants from the UK Biobank (mean age, 57 years) and 6230 participants from the EPIC-Norfolk (mean age, 68 years) cohorts with data on TC, HDL-C, LDL-C, and triglycerides collected between 2006 and 2009. Methods: Multivariate linear regression adjusting for demographic, lifestyle, anthropometric, medical, and ophthalmic covariables was used to examine the associations of serum lipids with corneal-compensated IOP (IOPcc). Main Outcome Measures: Corneal-compensated IOP. Results: Higher levels of TC, HDL-C, and LDL-C were associated independently with higher IOPcc in both cohorts after adjustment for key demographic, medical, and lifestyle factors. For each 1-standard deviation increase in TC, HDL-C, and LDL-C, IOPcc was higher by 0.09 mmHg (95% confidence interval [CI], 0.06–0.11 mmHg; P < 0.001), 0.11 mmHg (95% CI, 0.08–0.13 mmHg; P < 0.001), and 0.07 mmHg (95% CI, 0.05–0.09 mmHg; P < 0.001), respectively, in the UK Biobank cohort. In the EPIC-Norfolk cohort, each 1-standard deviation increase in TC, HDL-C, and LDL-C was associated with a higher IOPcc by 0.19 mmHg (95% CI, 0.07–0.31 mmHg; P = 0.001), 0.14 mmHg (95% CI, 0.03–0.25 mmHg; P = 0.016), and 0.17 mmHg (95% CI, 0.06–0.29 mmHg; P = 0.003). An inverse association between triglyceride levels and IOP in the UK Biobank (–0.05 mmHg; 95% CI, –0.08 to –0.03; P < 0.001) was not replicated in the EPIC-Norfolk cohort (P = 0.30). Conclusions: Our findings suggest that serum TC, HDL-C, and LDL-C are associated positively with IOP in 2 United Kingdom cohorts and that triglyceride levels may be associated negatively. Future research is required to assess whether these associations are causal in nature.

Published
2022

90. Retinal vascular measures from diabetes retinal screening photographs and risk of incident dementia in type 2 diabetes: A GoDARTS study

Author

Emanuele Trucco, Gareth J. McKay, Yu Huang, Peter J. Connelly, Graham P. Leese, Aditya Nar, Tom MacGillivray, and Alex S. F. Doney

Subjects
Research design, medicine.medical_specialty, business.industry, Retinal, Type 2 diabetes, General Medicine, medicine.disease, Retinal screening, chemistry.chemical_compound, chemistry, SDG 3 - Good Health and Well-being, Diabetes mellitus, Internal medicine, medicine, Cardiology, Dementia, In patient, Vascular dementia, business
Abstract

ObjectivePatients with diabetes have an increased risk of dementia. Improved prediction of dementia is an important goal in developing future prevention strategies. Diabetic retinopathy screening (DRS) photographs may be a convenient source of imaging biomarkers of brain health. We therefore investigated the association of retinal vascular measures (RVMs) from DRS photographs in patients with type 2 diabetes with dementia risk.Research Design and MethodsRVMs were obtained from 6,111 patients in the GoDARTS bioresource using VAMPIRE software. Their association, independent of Apo E4 genotype and clinical parameters, was determined for incident all cause dementia (ACD) and separately Alzheimer’s dementia (AD) and vascular dementia (VD). We used Cox’s proportional hazards with competing risk of death without dementia. The potential value of RVMs to increase the accuracy of risk prediction was evaluated.ResultsIncreased retinal arteriolar fractal dimension associated with increased risk of ACD (csHR 1.17; 1.08-1.26) and AD (HR 1.33; 1.16-1.52), whereas increased venular fractal dimension (FDV) was associated with reduced risk of AD (csHR 0.85; 0.74-0.96). Conversely, FDV was associated with increased risk of VD (csHR 1.22; 1.07-1.40). Wider arteriolar calibre was associated with a reduced risk of ACD (csHR 0.9; 0.83-0.98) and wider venular calibre was associated with a reduced risk of AD (csHR 0.87; 0.78-0.97). Accounting for competing risk did not substantially alter these findings. RVMs significantly increased the accuracy of prediction.ConclusionsConventional DRS photographs could enhance stratifying patients with diabetes at increased risk of dementia facilitating the development of future prevention strategies.

Published
2022

97. Assessment of the conjunctival microcirculation for patients presenting with acute myocardial infarction compared to healthy controls

Author

Julie S Moore, Min Jing, M. Andrew Nesbit, Tara Moore, Kevin Blighe, Agnes Awuah, Paul F. Brennan, Andrew J. McNeil, Dewar D. Finlay, Jonathan Mailey, Emanuele Trucco, James McLaughlin, and Mark S. Spence

Subjects
Adult, Male, medicine.medical_specialty, Science, Cardiology, Blood volume, Pathogenesis, 030204 cardiovascular system & hematology, Wall shear, Article, Microcirculation, 03 medical and health sciences, Medical research, 0302 clinical medicine, Internal medicine, medicine, Quantitative assessment, Humans, In patient, Myocardial infarction, Prospective Studies, Non-ST Elevated Myocardial Infarction, Aged, Multidisciplinary, business.industry, Mean Vessel Diameter, Middle Aged, medicine.disease, Risk factors, Case-Control Studies, ST Elevation Myocardial Infarction, Medicine, Female, Anatomy, business, Conjunctiva, 030217 neurology & neurosurgery
Abstract

Microcirculatory dysfunction occurs early in cardiovascular disease (CVD) development. Acute myocardial infarction (MI) is a late consequence of CVD. The conjunctival microcirculation is readily-accessible for quantitative assessment and has not previously been studied in MI patients. We compared the conjunctival microcirculation of acute MI patients and age/sex-matched healthy controls to determine if there were differences in microcirculatory parameters. We acquired images using an iPhone 6s and slit-lamp biomicroscope. Parameters measured included diameter, axial velocity, wall shear rate and blood volume flow. Results are for all vessels as they were not sub-classified into arterioles or venules. The conjunctival microcirculation was assessed in 56 controls and 59 inpatients with a presenting diagnosis of MI. Mean vessel diameter for the controls was 21.41 ± 7.57 μm compared to 22.32 ± 7.66 μm for the MI patients (p −1 vs 145 ± 88 s−1, p

Published
2021

Catalog

Books, media, physical & digital resources
See catalog results