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West SW, Clubb J, Blake TA, Fern J, Bowles H, Dalen-Lorentsen T. Big data. Big potential. Big problems? BMJ Open Sport Exerc Med 2024; 10:e001994. [PMID: 38645761 PMCID: PMC11029264 DOI: 10.1136/bmjsem-2024-001994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/06/2024] [Indexed: 04/23/2024] Open
Affiliation(s)
- Stephen W West
- Centre for Health, and Injury & Illness Prevention in Sport, University of Bath, Bath, UK
- UK Collaborating Centre on Injury and Illness Prevention in Sport, University of Bath, Bath, UK
- Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada
| | - Jo Clubb
- Global Performance Insights, London, UK
| | - Tracy A Blake
- Faculty of Health Sciences, School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada
| | - James Fern
- Department for Health, University of Bath, Bath, UK
| | - Harry Bowles
- Department for Health, University of Bath, Bath, UK
| | - Torstein Dalen-Lorentsen
- Department of Health Research, SINTEF Digital, Oslo, Norway
- Oslo Sports Trauma Research Center, Department of Sports Medicine, Norwegian School of Sports Sciences, Oslo, Norway
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2
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Christensen PR, Hamilton VE, Mehall GL, Anwar S, Bowles H, Chase S, Farkas Z, Fisher T, Holmes A, Kubik I, Lazbin I, O’Donnell W, Ortiz C, Pelham D, Rogers S, Shamordola K, Tourville T, Woodward R. The Lucy Thermal Emission Spectrometer (L'TES) Instrument. Space Sci Rev 2023; 220:1. [PMID: 38130909 PMCID: PMC10730683 DOI: 10.1007/s11214-023-01029-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 11/20/2023] [Indexed: 12/23/2023]
Abstract
The Lucy Thermal Emission Spectrometer (L'TES) will provide remote measurements of the thermophysical properties of the Trojan asteroids studied by the Lucy mission. L'TES is build-to-print hardware copy of the OTES instrument flown on OSIRIS-REx. It is a Fourier Transform spectrometer covering the spectral range 5.71-100 μm (1750-100 cm-1) with spectral sampling intervals of 8.64, 17.3, and 34.6 cm-1 and a 7.3-mrad field of view. The L'TES telescope is a 15.2-cm diameter Cassegrain telescope that feeds a flat-plate Michelson moving mirror mounted on a linear voice-coil motor assembly to a single uncooled deuterated l-alanine doped triglycine sulfate (DLATGS) pyroelectric detector. A significant firmware change from OTES is the ability to acquire interferograms of different length and spectral resolution with acquisition times of 0.5, 1, and 2 seconds. A single ∼0.851 μm laser diode is used in a metrology interferometer to provide precise moving mirror control and IR sampling at 772 Hz. The beamsplitter is a 38-mm diameter, 1-mm thick chemical vapor deposited diamond with an antireflection microstructure to minimize surface reflection. An internal calibration cone blackbody target, together with observations of space, provides radiometric calibration. The radiometric precision in a single spectrum is ≤2.2 × 10-8 W cm-2 sr-1 /cm-1 between 300 and 1350 cm-1. The absolute temperature error is <2 K for scene temperatures >75 K. The overall L'TES envelope size is 37.6 × 29.0 × 30.4 cm, and the mass is 6.47 kg. The power consumption is 12.6 W average. L'TES was developed by Arizona State University with AZ Space Technologies developing the electronics. L'TES was integrated, tested, and radiometrically calibrated on the Arizona State University campus in Tempe, AZ. Initial data from space have verified the instrument's radiometric and spatial performance.
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Affiliation(s)
- P. R. Christensen
- School of Earth and Space Exploration, Arizona State University, Tempe, AZ USA
| | | | - G. L. Mehall
- School of Earth and Space Exploration, Arizona State University, Tempe, AZ USA
| | - S. Anwar
- School of Earth and Space Exploration, Arizona State University, Tempe, AZ USA
| | - H. Bowles
- School of Earth and Space Exploration, Arizona State University, Tempe, AZ USA
| | - S. Chase
- School of Earth and Space Exploration, Arizona State University, Tempe, AZ USA
| | - Z. Farkas
- School of Earth and Space Exploration, Arizona State University, Tempe, AZ USA
| | - T. Fisher
- School of Earth and Space Exploration, Arizona State University, Tempe, AZ USA
| | - A. Holmes
- School of Earth and Space Exploration, Arizona State University, Tempe, AZ USA
| | - I. Kubik
- School of Earth and Space Exploration, Arizona State University, Tempe, AZ USA
| | - I. Lazbin
- AZ Space Technologies, Gilbert, AZ USA
| | - W. O’Donnell
- School of Earth and Space Exploration, Arizona State University, Tempe, AZ USA
| | - C. Ortiz
- School of Earth and Space Exploration, Arizona State University, Tempe, AZ USA
| | - D. Pelham
- School of Earth and Space Exploration, Arizona State University, Tempe, AZ USA
| | - S. Rogers
- School of Earth and Space Exploration, Arizona State University, Tempe, AZ USA
| | - K. Shamordola
- School of Earth and Space Exploration, Arizona State University, Tempe, AZ USA
| | - T. Tourville
- School of Earth and Space Exploration, Arizona State University, Tempe, AZ USA
| | - R. Woodward
- School of Earth and Space Exploration, Arizona State University, Tempe, AZ USA
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3
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Spargo TP, Opie-Martin S, Bowles H, Lewis CM, Iacoangeli A, Al-Chalabi A. Calculating variant penetrance from family history of disease and average family size in population-scale data. Genome Med 2022; 14:141. [PMID: 36522764 PMCID: PMC9753373 DOI: 10.1186/s13073-022-01142-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 11/18/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Genetic penetrance is the probability of a phenotype when harbouring a particular pathogenic variant. Accurate penetrance estimates are important across biomedical fields including genetic counselling, disease research, and gene therapy. However, existing approaches for penetrance estimation require, for instance, large family pedigrees or availability of large databases of people affected and not affected by a disease. METHODS We present a method for penetrance estimation in autosomal dominant phenotypes. It examines the distribution of a variant among people affected (cases) and unaffected (controls) by a phenotype within population-scale data and can be operated using cases only by considering family disease history. It is validated through simulation studies and candidate variant-disease case studies. RESULTS Our method yields penetrance estimates which align with those obtained via existing approaches in the Parkinson's disease LRRK2 gene and pulmonary arterial hypertension BMPR2 gene case studies. In the amyotrophic lateral sclerosis case studies, examining penetrance for variants in the SOD1 and C9orf72 genes, we make novel penetrance estimates which correspond closely to understanding of the disease. CONCLUSIONS The present approach broadens the spectrum of traits for which reliable penetrance estimates can be obtained. It has substantial utility for facilitating the characterisation of disease risks associated with rare variants with an autosomal dominant inheritance pattern. The yielded estimates avoid any kinship-specific effects and can circumvent ascertainment biases common when sampling rare variants among control populations.
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Affiliation(s)
- Thomas P Spargo
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, SE5 9RX, UK
| | - Sarah Opie-Martin
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, SE5 9RX, UK
| | - Harry Bowles
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, SE5 9RX, UK
| | - Cathryn M Lewis
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, de Crespigny Park, London, SE5 8AF, UK
- Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Alfredo Iacoangeli
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, SE5 9RX, UK.
- Department of Biostatistics and Health Informatics, King's College London, London, UK.
- NIHR Maudsley Biomedical Research Centre (BRC) at South London and Maudsley NHS Foundation Trust and King's College London, London, UK.
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, SE5 9RX, UK.
- King's College Hospital, Bessemer Road, London, SE5 9RS, UK.
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4
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Atoian A, Bowles H, Gerhke S, Atoian S, Bowles N, Thangathurai D. Micro-dose, macro-impact: Leveraging psychedelics in frontline healthcare workers during the COVID-19 pandemic. JPS 2022. [DOI: 10.1556/2054.2022.00227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
AbstractBackground and aimsThe COVID-19 pandemic exacerbated pre-existing high-levels of physician stress and burnout1. In order to help treat frontline colleagues who were diagnosed with acute stress disorder, we chose a non-psychedelic, ketamine micro-dose treatment strategy for symptom management.MethodsWe provided care virtually, and all patients were prescribed sublingual ketamine once daily. Each patient was evaluated using the NIH-PROMIS CAT assessments for stress, depression, anxiety, and PTSD via a remote, HIPAA compliant patient self-reporting platform. Progress was tracked and assessed against a baseline value obtained prior to the start of treatment. Patient progress was evaluated at a 4–6-week interval. Patients did not report any significant side effects to the treatment regimen.Results100% (25/25) of patients experienced improved anxiety, 92% (23/25) experienced improved stress, 96% (24/25) experienced improved PTSD, and 91% (20/22) experienced improved depression.ConclusionsWhile we cannot draw definitive conclusions from the association demonstrated by this data, we believe these results demonstrate that further research into the efficacy of daily, short-term ketamine micro-doses for treatment of acute stress disorder is warranted.
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Affiliation(s)
| | - Harry Bowles
- Department of Surgery, Office of Medical Administration & Division of Anesthesiology, Huntington Memorial Hospital, Pasadena, CA, USA
| | | | | | | | - Duraiyah Thangathurai
- Department of Anesthesiology, Division of Critical Care Medicine, The Keck School of Medicine at USC, Los Angeles, CA, USA
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5
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Kabiljo R, Bowles H, Marriott H, Jones AR, Bouton CR, Dobson RJ, Quinn JP, Al Khleifat A, Swanson CM, Al-Chalabi A, Iacoangeli A. RetroSnake: A modular pipeline to detect human endogenous retroviruses in genome sequencing data. iScience 2022; 25:105289. [PMID: 36339261 PMCID: PMC9626663 DOI: 10.1016/j.isci.2022.105289] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 08/08/2022] [Accepted: 10/04/2022] [Indexed: 12/02/2022] Open
Abstract
Human endogenous retroviruses (HERVs) integrated into the human genome as a result of ancient exogenous infections and currently comprise ∼8% of our genome. The members of the most recently acquired HERV family, HERV-Ks, still retain the potential to produce viral molecules and have been linked to a wide range of diseases including cancer and neurodegeneration. Although a range of tools for HERV detection in NGS data exist, most of them lack wet lab validation and they do not cover all steps of the analysis. Here, we describe RetroSnake, an end-to-end, modular, computationally efficient, and customizable pipeline for the discovery of HERVs in short-read NGS data. RetroSnake is based on an extensively wet-lab validated protocol, it covers all steps of the analysis from raw data to the generation of annotated results presented as an interactive html file, and it is easy to use by life scientists without substantial computational training. Availability and implementation: The Pipeline and an extensive documentation are available on GitHub.
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Affiliation(s)
- Renata Kabiljo
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE5 8AF, UK
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 9NU, UK
| | - Harry Bowles
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE5 8AF, UK
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 9NU, UK
| | - Heather Marriott
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE5 8AF, UK
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 9NU, UK
| | - Ashley R. Jones
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 9NU, UK
| | - Clement R. Bouton
- Department of Infectious Diseases, School of Immunology and Microbial Sciences, King’s College London, London, UK
| | - Richard J.B. Dobson
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE5 8AF, UK
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London, London, UK
- Institute of Health Informatics, University College London, London, UK
- NIHR Biomedical Research Centre at University College London Hospitals NHS Foundation Trust, London, UK
| | - John P. Quinn
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 3BX, UK
| | - Ahmad Al Khleifat
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 9NU, UK
| | - Chad M. Swanson
- Department of Infectious Diseases, School of Immunology and Microbial Sciences, King’s College London, London, UK
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 9NU, UK
| | - Alfredo Iacoangeli
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London SE5 8AF, UK
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 9NU, UK
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London, London, UK
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6
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Opie-Martin S, Iacoangeli A, Topp SD, Abel O, Mayl K, Mehta PR, Shatunov A, Fogh I, Bowles H, Limbachiya N, Spargo TP, Al-Khleifat A, Williams KL, Jockel-Balsarotti J, Bali T, Self W, Henden L, Nicholson GA, Ticozzi N, McKenna-Yasek D, Tang L, Shaw PJ, Chio A, Ludolph A, Weishaupt JH, Landers JE, Glass JD, Mora JS, Robberecht W, Damme PV, McLaughlin R, Hardiman O, van den Berg L, Veldink JH, Corcia P, Stevic Z, Siddique N, Silani V, Blair IP, Fan DS, Esselin F, de la Cruz E, Camu W, Basak NA, Siddique T, Miller T, Brown RH, Al-Chalabi A, Shaw CE. The SOD1-mediated ALS phenotype shows a decoupling between age of symptom onset and disease duration. Nat Commun 2022; 13:6901. [PMID: 36371497 PMCID: PMC9653399 DOI: 10.1038/s41467-022-34620-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 10/31/2022] [Indexed: 11/13/2022] Open
Abstract
Superoxide dismutase (SOD1) gene variants may cause amyotrophic lateral sclerosis, some of which are associated with a distinct phenotype. Most studies assess limited variants or sample sizes. In this international, retrospective observational study, we compare phenotypic and demographic characteristics between people with SOD1-ALS and people with ALS and no recorded SOD1 variant. We investigate which variants are associated with age at symptom onset and time from onset to death or censoring using Cox proportional-hazards regression. The SOD1-ALS dataset reports age of onset for 1122 and disease duration for 883 people; the comparator population includes 10,214 and 9010 people respectively. Eight variants are associated with younger age of onset and distinct survival trajectories; a further eight associated with younger onset only and one with distinct survival only. Here we show that onset and survival are decoupled in SOD1-ALS. Future research should characterise rarer variants and molecular mechanisms causing the observed variability.
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Affiliation(s)
- Sarah Opie-Martin
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9NU, UK
| | - Alfredo Iacoangeli
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9NU, UK
- Department of Biostatistics and Health Informatics, Institute of Psychiatry Psychology & Neuroscience, King's College London, SE5 8AF, London, UK
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
| | - Simon D Topp
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9NU, UK
| | - Olubunmi Abel
- Homerton University Hospital, Homerton Row, London, E9 6SR, UK
| | - Keith Mayl
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9NU, UK
| | - Puja R Mehta
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9NU, UK
| | - Aleksey Shatunov
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9NU, UK
- Department of Molecular and Clinical Pharmacology, University of Liverpool, Blue Block 1.09, Sherrington Building, Crown St, Liverpool, L693BX, UK
- Institute of Medicine, North-Eastern Federal University, 58 Belinsky str, Yakutsk, 677000, Russia
| | - Isabella Fogh
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9NU, UK
| | - Harry Bowles
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9NU, UK
| | - Naomi Limbachiya
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9NU, UK
| | - Thomas P Spargo
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9NU, UK
| | - Ahmad Al-Khleifat
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9NU, UK
| | - Kelly L Williams
- Macquarie University Centre for MND Research, Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | | | - Taha Bali
- Department of Neurology, Washington University School of Medicine, St Louis, MO, 63110, USA
| | - Wade Self
- Department of Neurology, Washington University School of Medicine, St Louis, MO, 63110, USA
| | - Lyndal Henden
- Macquarie University Centre for MND Research, Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Garth A Nicholson
- Macquarie University Centre for MND Research, Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
- Concord Clinical School, ANZAC Research Institute, Concord Repatriation Hospital, Sydney, NSW, 2139, Australia
| | - Nicola Ticozzi
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, 20095, Cusano Milanino, MiIan, Italy
- Dino Ferrari Center, Department of Pathophysiology and Transplantation, Center for Neurotechnology and Brain Therapeutics, Università degli Studi di Milano, Milan, Italy
| | - Diane McKenna-Yasek
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, 02125, USA
| | - Lu Tang
- Department of Neurology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, PR China
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, S10 2HQ, UK
| | - Adriano Chio
- Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy
- Neurology 1, AOU Città della Salute e della Scienza of Torino, Turin, 10124, Torino, Italy
| | - Albert Ludolph
- Department of Neurology, Ulm University, Oberer Eselsberg 45, 89081, Ulm, Germany
- German Center for Neurodegenerative Diseases, DZNE, Ulm, Germany
| | - Jochen H Weishaupt
- Department of Neurology, University of Ulm, Oberer Eselsberg 45, 89081, Ulm, Germany
- Division of Neurodegenerative Disorders, Department of Neurology, Mannheim Center for Translational Neuroscience, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
| | - John E Landers
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, 02125, USA
| | - Jonathan D Glass
- Department Neurology, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Jesus S Mora
- ALS Unit, Department of Neurology, Hospital San Rafael, 28016, Madrid, Spain
| | - Wim Robberecht
- Neurology Department, Univeristy Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Philip Van Damme
- Neurology Department, Univeristy Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium
- Neuroscience Department, KU Leuven and Center for Brain & Disease Research VIB Leuven, Leuven, Belgium
| | - Russell McLaughlin
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, D02 PN40, Ireland
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, D02 PN40, Ireland
| | - Leonard van den Berg
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands
| | - Jan H Veldink
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands
| | - Phillippe Corcia
- Centre de Référence pour la SLA et les Autres Maladies du Motoneurone (FILSLAN), 2 Avenue Martin Luther King, 87042, Limoges Cedex, France
- Centre de Compétences Neuropathies Amyloïdes Familiales et Autres Neuropathies Périphériques Rares (NNERF), Poitiers, France
| | - Zorica Stevic
- Neurology Clinic, Clinical Center of Serbia, School of Medicine, University of Belgrade, Studentski trg 1, Belgrade, Serbia
| | - Nailah Siddique
- Neuromuscular Disorders Program, Northwestern University, Feinberg School of Medicine, Chicago, IL, 60208, USA
| | - Vincenzo Silani
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, 20095, Cusano Milanino, MiIan, Italy
- Dino Ferrari Center, Department of Pathophysiology and Transplantation, Center for Neurotechnology and Brain Therapeutics, Università degli Studi di Milano, Milan, Italy
| | - Ian P Blair
- Macquarie University Centre for MND Research, Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Dong-Sheng Fan
- Department of Neurology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, PR China
| | - Florence Esselin
- Reference Center for ALS and Other Rare Motoneuron Disorders, University Hospital Gui de Chauliac, 34295, Montpellier, France
| | - Elisa de la Cruz
- Reference Center for ALS and Other Rare Motoneuron Disorders, University Hospital Gui de Chauliac, 34295, Montpellier, France
| | - William Camu
- Reference Center for ALS and Other Rare Motoneuron Disorders, University Hospital Gui de Chauliac, 34295, Montpellier, France
| | - Nazli A Basak
- Koç University, School of Medicine Translational Medicine Research Center KUTTAM-NDAL, 34450, Sarıyer, Istanbul, Turkey
| | - Teepu Siddique
- Neuromuscular Disorders Program, Northwestern University, Feinberg School of Medicine, Chicago, IL, 60208, USA
| | - Timothy Miller
- Department of Neurology, Washington University School of Medicine, St Louis, MO, 63110, USA
| | - Robert H Brown
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, 02125, USA
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9NU, UK
| | - Christopher E Shaw
- UK Dementia Research Institute Centre at King's College London, School of Neuroscience, King's College London, Strand, London, WC2R 2LS, UK.
- Centre for Brain Research, University of Auckland, 85 Park Road, Grafton, Auckland, 1023, New Zealand.
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7
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Jones AR, Iacoangeli A, Adey BN, Bowles H, Shatunov A, Troakes C, Garson JA, McCormick AL, Al-Chalabi A. Author Correction: A HML6 endogenous retrovirus on chromosome 3 is upregulated in amyotrophic lateral sclerosis motor cortex. Sci Rep 2022; 12:14171. [PMID: 35986057 PMCID: PMC9391455 DOI: 10.1038/s41598-022-18488-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Affiliation(s)
- Ashley R Jones
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9NU, UK.
| | - Alfredo Iacoangeli
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9NU, UK
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- National Institute for Health Research Biomedical Research Centre and Dementia Unit at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
| | - Brett N Adey
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Trust, King's College London, London, UK
| | - Harry Bowles
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9NU, UK
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- National Institute for Health Research Biomedical Research Centre and Dementia Unit at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
- National Institute for Health Research Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK
| | - Aleksey Shatunov
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9NU, UK
| | - Claire Troakes
- MRC London Neurodegenerative Diseases Brain Bank, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Jeremy A Garson
- Division of Infection and Immunity, University College London, London, UK
| | | | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9NU, UK
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8
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Al Khleifat A, Iacoangeli A, van Vugt JJFA, Bowles H, Moisse M, Zwamborn RAJ, van der Spek RAA, Shatunov A, Cooper-Knock J, Topp S, Byrne R, Gellera C, López V, Jones AR, Opie-Martin S, Vural A, Campos Y, van Rheenen W, Kenna B, Van Eijk KR, Kenna K, Weber M, Smith B, Fogh I, Silani V, Morrison KE, Dobson R, van Es MA, McLaughlin RL, Vourc'h P, Chio A, Corcia P, de Carvalho M, Gotkine M, Panades MP, Mora JS, Shaw PJ, Landers JE, Glass JD, Shaw CE, Basak N, Hardiman O, Robberecht W, Van Damme P, van den Berg LH, Veldink JH, Al-Chalabi A. Structural variation analysis of 6,500 whole genome sequences in amyotrophic lateral sclerosis. NPJ Genom Med 2022; 7:8. [PMID: 35091648 PMCID: PMC8799638 DOI: 10.1038/s41525-021-00267-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 10/21/2021] [Indexed: 02/01/2023] Open
Abstract
There is a strong genetic contribution to Amyotrophic lateral sclerosis (ALS) risk, with heritability estimates of up to 60%. Both Mendelian and small effect variants have been identified, but in common with other conditions, such variants only explain a little of the heritability. Genomic structural variation might account for some of this otherwise unexplained heritability. We therefore investigated association between structural variation in a set of 25 ALS genes, and ALS risk and phenotype. As expected, the repeat expansion in the C9orf72 gene was identified as associated with ALS. Two other ALS-associated structural variants were identified: inversion in the VCP gene and insertion in the ERBB4 gene. All three variants were associated both with increased risk of ALS and specific phenotypic patterns of disease expression. More than 70% of people with respiratory onset ALS harboured ERBB4 insertion compared with 25% of the general population, suggesting respiratory onset ALS may be a distinct genetic subtype.
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Affiliation(s)
- Ahmad Al Khleifat
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
| | - Alfredo Iacoangeli
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Joke J F A van Vugt
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Harry Bowles
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
| | - Matthieu Moisse
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Neurology; VIB Center for Brain & Disease Research, Laboratory of Neurobiology, Leuven, Belgium
| | - Ramona A J Zwamborn
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Rick A A van der Spek
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Aleksey Shatunov
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
| | - Johnathan Cooper-Knock
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Simon Topp
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
| | - Ross Byrne
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Cinzia Gellera
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano and Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milano, Italy
| | - Victoria López
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano and Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milano, Italy
| | - Ashley R Jones
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
| | - Sarah Opie-Martin
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
| | - Atay Vural
- Koc University, School of Medicine, Translational Medicine Research Center- NDAL, Istanbul, Turkey
| | - Yolanda Campos
- Mitochondrial pathology Unit, Instituto de Salud Carlos III, Madrid, Spain
| | - Wouter van Rheenen
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Brendan Kenna
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Kristel R Van Eijk
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Kevin Kenna
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Markus Weber
- Neuromuscular Diseases Unit/ALS Clinic, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Bradley Smith
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
| | - Isabella Fogh
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
| | - Vincenzo Silani
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano and Department of Pathophysiology and Transplantation, "Dino Ferrari" Center, Università degli Studi di Milano, Milano, Italy
| | - Karen E Morrison
- Faculty of Medicine, Health and Life Sciences, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Richard Dobson
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Institute of Health Informatics, University College London, London, UK
| | - Michael A van Es
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Russell L McLaughlin
- Complex Trait Genomics Laboratory, Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | | | - Adriano Chio
- Rita Levi Montalcini, Department of Neuroscience, ALS Centre, University of Torino, Turin, Italy
- Azienda Ospedaliera Citta della Salute e della Scienza, Torino, Italy
| | - Philippe Corcia
- Centre SLA, CHRU de Tours, Tours, France
- Federation des Centres SLA Tours and Limoges, LITORALS, Tours, France
| | - Mamede de Carvalho
- Physiology Institute, Faculty of Medicine, Instituto de Medicina Molecular, University of Lisbon, Lisbon, Portugal
| | | | - Monica P Panades
- Neurology Department, Hospital Universitari de Bellvitge, Barcelona, Spain
| | | | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - John E Landers
- Department of Neurology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Jonathan D Glass
- Department of Neurology, Center for Neurodegenerative Diseases, Emory University, Atlanta, GA, USA
| | - Christopher E Shaw
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK
- King's College Hospital, Denmark Hill, London, UK
| | - Nazli Basak
- Koc University, School of Medicine, Translational Medicine Research Center- NDAL, Istanbul, Turkey
| | - Orla Hardiman
- Academic Unit of Neurology, Trinity College Dublin, Trinity Biomedical Sciences Institute, Dublin, Republic of Ireland
- Department of Neurology, Beaumont Hospital, Dublin, Republic of Ireland
| | - Wim Robberecht
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Neurology; VIB Center for Brain & Disease Research, Laboratory of Neurobiology, Leuven, Belgium
- Neurology Department, University Hospitals Leuven, Leuven, Belgium
| | - Philip Van Damme
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Neurology; VIB Center for Brain & Disease Research, Laboratory of Neurobiology, Leuven, Belgium
- Neurology Department, University Hospitals Leuven, Leuven, Belgium
| | - Leonard H van den Berg
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Jan H Veldink
- Department of Neurology, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Ammar Al-Chalabi
- King's College London, Maurice Wohl Clinical Neuroscience Institute, Department of Basic and Clinical Neuroscience, De Crespigny Park, London, UK.
- King's College Hospital, Denmark Hill, London, UK.
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9
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Bowles H, Kabiljo R, Al Khleifat A, Jones A, Quinn JP, Dobson RJB, Swanson CM, Al-Chalabi A, Iacoangeli A. An assessment of bioinformatics tools for the detection of human endogenous retroviral insertions in short-read genome sequencing data. Front Bioinform 2022; 2:1062328. [PMID: 36845320 PMCID: PMC9945273 DOI: 10.3389/fbinf.2022.1062328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 12/12/2022] [Indexed: 02/10/2023] Open
Abstract
There is a growing interest in the study of human endogenous retroviruses (HERVs) given the substantial body of evidence that implicates them in many human diseases. Although their genomic characterization presents numerous technical challenges, next-generation sequencing (NGS) has shown potential to detect HERV insertions and their polymorphisms in humans. Currently, a number of computational tools to detect them in short-read NGS data exist. In order to design optimal analysis pipelines, an independent evaluation of the available tools is required. We evaluated the performance of a set of such tools using a variety of experimental designs and datasets. These included 50 human short-read whole-genome sequencing samples, matching long and short-read sequencing data, and simulated short-read NGS data. Our results highlight a great performance variability of the tools across the datasets and suggest that different tools might be suitable for different study designs. However, specialized tools designed to detect exclusively human endogenous retroviruses consistently outperformed generalist tools that detect a wider range of transposable elements. We suggest that, if sufficient computing resources are available, using multiple HERV detection tools to obtain a consensus set of insertion loci may be ideal. Furthermore, given that the false positive discovery rate of the tools varied between 8% and 55% across tools and datasets, we recommend the wet lab validation of predicted insertions if DNA samples are available.
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Affiliation(s)
- Harry Bowles
- Department of Basic and Clinical Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom
| | - Renata Kabiljo
- Department of Basic and Clinical Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom
- Department of Biostatistics and Health Informatics, King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom
| | - Ahmad Al Khleifat
- Department of Basic and Clinical Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom
| | - Ashley Jones
- Department of Basic and Clinical Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom
| | - John P. Quinn
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom
| | - Richard J. B. Dobson
- Department of Biostatistics and Health Informatics, King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London, London, United Kingdom
- Institute of Health Informatics, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, University College London Hospitals NHS Foundation Trust, London, United Kingdom
| | - Chad M. Swanson
- Department of Infectious Diseases, School of Immunology and Microbial Sciences, King’s College London, London, United Kingdom
| | - Ammar Al-Chalabi
- Department of Basic and Clinical Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom
- Department of Neurology, King’s College Hospital, London, United Kingdom
| | - Alfredo Iacoangeli
- Department of Basic and Clinical Neuroscience, King’s College London, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom
- Department of Biostatistics and Health Informatics, King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London, London, United Kingdom
- *Correspondence: Alfredo Iacoangeli,
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10
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Jones AR, Iacoangeli A, Adey BN, Bowles H, Shatunov A, Troakes C, Garson JA, McCormick AL, Al-Chalabi A. A HML6 endogenous retrovirus on chromosome 3 is upregulated in amyotrophic lateral sclerosis motor cortex. Sci Rep 2021; 11:14283. [PMID: 34253796 PMCID: PMC8275748 DOI: 10.1038/s41598-021-93742-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 05/21/2021] [Indexed: 02/06/2023] Open
Abstract
There is increasing evidence that endogenous retroviruses (ERVs) play a significant role in central nervous system diseases, including amyotrophic lateral sclerosis (ALS). Studies of ALS have consistently identified retroviral enzyme reverse transcriptase activity in patients. Evidence indicates that ERVs are the cause of reverse transcriptase activity in ALS, but it is currently unclear whether this is due to a specific ERV locus or a family of ERVs. We employed a combination of bioinformatic methods to identify whether specific ERVs or ERV families are associated with ALS. Using the largest post-mortem RNA-sequence datasets available we selectively identified ERVs that closely resembled full-length proviruses. In the discovery dataset there was one ERV locus (HML6_3p21.31c) that showed significant increased expression in post-mortem motor cortex tissue after multiple-testing correction. Using six replication post-mortem datasets we found HML6_3p21.31c was consistently upregulated in ALS in motor cortex and cerebellum tissue. In addition, HML6_3p21.31c showed significant co-expression with cytokine binding and genes involved in EBV, HTLV-1 and HIV type-1 infections. There were no significant differences in ERV family expression between ALS and controls. Our results support the hypothesis that specific ERV loci are involved in ALS pathology.
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Affiliation(s)
- Ashley R. Jones
- grid.13097.3c0000 0001 2322 6764Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, SE5 9NU UK
| | - Alfredo Iacoangeli
- grid.13097.3c0000 0001 2322 6764Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, SE5 9NU UK ,grid.13097.3c0000 0001 2322 6764Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK ,grid.451056.30000 0001 2116 3923National Institute for Health Research Biomedical Research Centre and Dementia Unit at South London and Maudsley NHS Foundation Trust and King’s College London, London, UK
| | - Brett N. Adey
- grid.13097.3c0000 0001 2322 6764Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK ,grid.13097.3c0000 0001 2322 6764Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK ,grid.13097.3c0000 0001 2322 6764NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Trust, King’s College London, London, UK
| | - Harry Bowles
- grid.13097.3c0000 0001 2322 6764Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, SE5 9NU UK ,grid.13097.3c0000 0001 2322 6764Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK ,grid.451056.30000 0001 2116 3923National Institute for Health Research Biomedical Research Centre and Dementia Unit at South London and Maudsley NHS Foundation Trust and King’s College London, London, UK ,grid.451056.30000 0001 2116 3923National Institute for Health Research Biomedical Research Centre at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London, London, UK
| | - Aleksey Shatunov
- grid.13097.3c0000 0001 2322 6764Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, SE5 9NU UK
| | - Claire Troakes
- grid.13097.3c0000 0001 2322 6764MRC London Neurodegenerative Diseases Brain Bank, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Jeremy A. Garson
- grid.83440.3b0000000121901201Division of Infection and Immunity, University College London, London, UK
| | - Adele L. McCormick
- grid.12896.340000 0000 9046 8598School of Life Sciences, University of Westminster, London, UK
| | - Ammar Al-Chalabi
- grid.13097.3c0000 0001 2322 6764Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, SE5 9NU UK
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11
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Sánchez N, Tapias A, Bowles H, Delgado E, Almenara R, Fuster D, Vidal-Sicart S. Multimodal approach in radioguided surgery in a case of multiple paraganglioma. ACTA ACUST UNITED AC 2018. [DOI: 10.1016/j.remnie.2017.10.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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12
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Sánchez N, Tapias A, Bowles H, Delgado E, Almenara R, Fuster D, Vidal-Sicart S. Multimodal approach in radioguided surgery in a case of multiple paraganglioma. Rev Esp Med Nucl Imagen Mol 2017; 37:41-45. [PMID: 28566259 DOI: 10.1016/j.remn.2017.04.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Revised: 04/17/2017] [Accepted: 04/19/2017] [Indexed: 11/25/2022]
Abstract
The case involves a 34-year-old woman who underwent surgical removal of a retroperitoneal paraganglioma adjacent to the left kidney's lower pole, previously visualized by CT and MRI. The 123I-MIBG scan was positive for this lesion and, in addition, another uptake was observed located caudally at the level of L5 and of smaller size and less intensity. The second lesion was not considered for surgical removal, due to its lack of morphological definition. One week after surgical intervention, the patient presented difficult-to-control high blood pressure. A second 123I-MIBG scan was performed. The previously described second image was more intense in this study, and surgery was planned to remove it. A combination of techniques including freehand-SPECT and a portable hybrid gamma camera (with optical camera) were used pre-operatively to identify the location of the lesion. The combination of intra-operative laparoscopic gamma probe and portable hybrid gamma camera enabled the tumor to be located, excised, and its complete removal to be monitored. The histopathology analysis confirmed a second paraganglioma.
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Affiliation(s)
- N Sánchez
- Departamento de Medicina Nuclear, Hospital Clínic, Barcelona, España.
| | - A Tapias
- Departamento de Medicina Nuclear, Hospital Clínic, Barcelona, España
| | - H Bowles
- Departamento de Medicina Nuclear, Hospital Clínic, Barcelona, España
| | - E Delgado
- Departamento de Cirugía Gastrointestinal, Hospital Clínic, Barcelona, España
| | - R Almenara
- Departamento de Cirugía Gastrointestinal, Hospital Clínic, Barcelona, España
| | - D Fuster
- Departamento de Medicina Nuclear, Hospital Clínic, Barcelona, España
| | - S Vidal-Sicart
- Departamento de Medicina Nuclear, Hospital Clínic, Barcelona, España
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13
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Bowles H, Sánchez N, Tapias A, Paredes P, Campos F, Bluemel C, Valdés Olmos R, Vidal-Sicart S. Radioguided surgery and the GOSTT concept: From pre-operative image and intraoperative navigation to image-assisted excision. ACTA ACUST UNITED AC 2017. [DOI: 10.1016/j.remnie.2017.02.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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14
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Coloma A, Hernández-Estrada S, Bowles H, Sánchez N, Fuster D, Torregrosa J. Primary hyperparathyroidism regression associated to cinacalcet therapy proved by 99m Tc-MIBI scintigraphy. Rev Esp Med Nucl Imagen Mol 2017. [DOI: 10.1016/j.remnie.2016.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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15
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Wong KK, Chondrogiannis S, Bowles H, Fuster D, Sánchez N, Rampin L, Rubello D. Hybrid-fusion SPECT/CT systems in parathyroid adenoma: Technological improvements and added clinical diagnostic value. Rev Esp Med Nucl Imagen Mol 2016; 35:385-390. [PMID: 27554661 DOI: 10.1016/j.remn.2016.07.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Revised: 07/11/2016] [Accepted: 07/12/2016] [Indexed: 10/21/2022]
Abstract
Nuclear medicine traditionally employs planar and single photon emission computed tomography (SPECT) imaging techniques to depict the biodistribution of radiotracers for the diagnostic investigation of a range of disorders of endocrine gland function. The usefulness of combining functional information with anatomy derived from computed tomography (CT), magnetic resonance imaging (MRI), and high resolution ultrasound (US), has long been appreciated, either using visual side-by-side correlation, or software-based co-registration. The emergence of hybrid SPECT/CT camera technology now allows the simultaneous acquisition of combined multi-modality imaging, with seamless fusion of 3D volume datasets. Thus, it is not surprising that there is growing literature describing the many advantages that contemporary SPECT/CT technology brings to radionuclide investigation of endocrine disorders, showing potential advantages for the pre-operative locating of the parathyroid adenoma using a minimally invasive surgical approach, especially in the presence of ectopic glands and in multiglandular disease. In conclusion, hybrid SPECT/CT imaging has become an essential tool to ensure the most accurate diagnostic in the management of patients with hyperparathyroidism.
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Affiliation(s)
- K K Wong
- Division of Nuclear Medicine, Department of Radiology, University of Michigan, Ann Arbor, MI, USA; Nuclear Medicine Service, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - S Chondrogiannis
- Department of Nuclear Medicine, Radiology, Medical Physics, Clinical Pathology, Rovigo Hospital, Rovigo, Italy
| | - H Bowles
- Nuclear Medicine Department, Hospital Clinic, Barcelona University, Barcelona, Spain
| | - D Fuster
- Nuclear Medicine Department, Hospital Clinic, Barcelona University, Barcelona, Spain
| | - N Sánchez
- Nuclear Medicine Department, Hospital Clinic, Barcelona University, Barcelona, Spain
| | - L Rampin
- Department of Nuclear Medicine, Radiology, Medical Physics, Clinical Pathology, Rovigo Hospital, Rovigo, Italy
| | - D Rubello
- Department of Nuclear Medicine, Radiology, Medical Physics, Clinical Pathology, Rovigo Hospital, Rovigo, Italy.
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16
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Wong K, Chondrogiannis S, Bowles H, Fuster D, Sánchez N, Rampin L, Rubello D. Hybrid-fusion SPECT/CT systems in parathyroid adenoma: Technological improvements and added clinical diagnostic value. Rev Esp Med Nucl Imagen Mol 2016. [DOI: 10.1016/j.remnie.2016.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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17
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Bowles H, Sánchez N, Tapias A, Paredes P, Campos F, Bluemel C, Valdés Olmos RA, Vidal-Sicart S. Radioguided surgery and the GOSTT concept: From pre-operative image and intraoperative navigation to image-assisted excision. Rev Esp Med Nucl Imagen Mol 2016; 36:175-184. [PMID: 27793632 DOI: 10.1016/j.remn.2016.09.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Revised: 09/11/2016] [Accepted: 09/13/2016] [Indexed: 10/20/2022]
Abstract
Radio-guided surgery has been developed for application in those disease scheduled for surgical management, particularly in areas of complex anatomy. This is based on the use of pre-operative scintigraphic planar, tomographic and fused SPECT/CT images, and the possibility of 3D reconstruction for the subsequent intraoperative locating of active lesions using handheld devices (detection probes, gamma cameras, etc.). New tracers and technologies have also been incorporated into these surgical procedures. The combination of visual and acoustic signals during the intraoperative procedure has become possible with new portable imaging modalities. In daily practice, the images offered by these techniques and devices combine perioperative nuclear medicine imaging with the superior resolution of additional optical guidance in the operating room. In many ways they provide real-time images, allowing accurate guidance during surgery, a reduction in the time required for tissue location and an anatomical environment for surgical recognition. All these approaches have been included in the concept known as (radio) Guided intraOperative Scintigraphic Tumour Targeting (GOSTT). This article offers a general view of different nuclear medicine and allied technologies used for several GOSTT procedures, and illustrates the crossing of technological frontiers in radio-guided surgery.
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Affiliation(s)
- H Bowles
- Department of Nuclear Medicine, University Hospital Clínic Barcelona, Barcelona, Spain
| | - N Sánchez
- Department of Nuclear Medicine, University Hospital Clínic Barcelona, Barcelona, Spain
| | - A Tapias
- Department of Nuclear Medicine, University Hospital Clínic Barcelona, Barcelona, Spain
| | - P Paredes
- Department of Nuclear Medicine, University Hospital Clínic Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques Agustí Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - F Campos
- Department of Nuclear Medicine, University Hospital Clínic Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques Agustí Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - C Bluemel
- Department of Nuclear Medicine, University Hospital of Wurzburg, Wurzburg, Germany
| | - R A Valdés Olmos
- Interventional Molecular Imaging Laboratory and Nuclear Medicine Section, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands; Department of Nuclear Medicine, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - S Vidal-Sicart
- Department of Nuclear Medicine, University Hospital Clínic Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques Agustí Pi i Sunyer (IDIBAPS), Barcelona, Spain.
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