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Niarakis A, Ostaszewski M, Mazein A, Kuperstein I, Kutmon M, Gillespie ME, Funahashi A, Acencio ML, Hemedan A, Aichem M, Klein K, Czauderna T, Burtscher F, Yamada TG, Hiki Y, Hiroi NF, Hu F, Pham N, Ehrhart F, Willighagen EL, Valdeolivas A, Dugourd A, Messina F, Esteban-Medina M, Peña-Chilet M, Rian K, Soliman S, Aghamiri SS, Puniya BL, Naldi A, Helikar T, Singh V, Fernández MF, Bermudez V, Tsirvouli E, Montagud A, Noël V, Ponce-de-Leon M, Maier D, Bauch A, Gyori BM, Bachman JA, Luna A, Piñero J, Furlong LI, Balaur I, Rougny A, Jarosz Y, Overall RW, Phair R, Perfetto L, Matthews L, Rex DAB, Orlic-Milacic M, Gomez LCM, De Meulder B, Ravel JM, Jassal B, Satagopam V, Wu G, Golebiewski M, Gawron P, Calzone L, Beckmann JS, Evelo CT, D’Eustachio P, Schreiber F, Saez-Rodriguez J, Dopazo J, Kuiper M, Valencia A, Wolkenhauer O, Kitano H, Barillot E, Auffray C, Balling R, Schneider R. Drug-target identification in COVID-19 disease mechanisms using computational systems biology approaches. Front Immunol 2024; 14:1282859. [PMID: 38414974 PMCID: PMC10897000 DOI: 10.3389/fimmu.2023.1282859] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 12/22/2023] [Indexed: 02/29/2024] Open
Abstract
Introduction The COVID-19 Disease Map project is a large-scale community effort uniting 277 scientists from 130 Institutions around the globe. We use high-quality, mechanistic content describing SARS-CoV-2-host interactions and develop interoperable bioinformatic pipelines for novel target identification and drug repurposing. Methods Extensive community work allowed an impressive step forward in building interfaces between Systems Biology tools and platforms. Our framework can link biomolecules from omics data analysis and computational modelling to dysregulated pathways in a cell-, tissue- or patient-specific manner. Drug repurposing using text mining and AI-assisted analysis identified potential drugs, chemicals and microRNAs that could target the identified key factors. Results Results revealed drugs already tested for anti-COVID-19 efficacy, providing a mechanistic context for their mode of action, and drugs already in clinical trials for treating other diseases, never tested against COVID-19. Discussion The key advance is that the proposed framework is versatile and expandable, offering a significant upgrade in the arsenal for virus-host interactions and other complex pathologies.
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Affiliation(s)
- Anna Niarakis
- Université Paris-Saclay, Laboratoire Européen de Recherche pour la Polyarthrite rhumatoïde - Genhotel, Univ Evry, Evry, France
- Lifeware Group, Inria, Saclay-île de France, Palaiseau, France
| | - Marek Ostaszewski
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Alexander Mazein
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Inna Kuperstein
- Institut Curie, P.S.L. Research University, Paris, France
- INSERM, Paris, France
- MINES ParisTech, PSL Research University, CBIO-Centre for Computational Biology, Paris, France
| | - Martina Kutmon
- Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, Netherlands
| | - Marc E. Gillespie
- Ontario Institute for Cancer Research, Toronto, ON, Canada
- St. John’s University, Queens, NY, United States
| | - Akira Funahashi
- Department of Biosciences and Informatics, Keio University, Kanagawa, Japan
| | - Marcio Luis Acencio
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Ahmed Hemedan
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Michael Aichem
- Department of Computer and Information Science, University of Konstanz, Konstanz, Germany
| | - Karsten Klein
- Department of Computer and Information Science, University of Konstanz, Konstanz, Germany
| | - Tobias Czauderna
- Faculty of Applied Computer Sciences & Biosciences, University of Applied Sciences Mittweida, Mittweida, Germany
| | - Felicia Burtscher
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Takahiro G. Yamada
- Department of Biosciences and Informatics, Keio University, Kanagawa, Japan
| | - Yusuke Hiki
- Center for Biosciences and Informatics, Graduate School of Fundamental Science and Technology, Keio University, Kanagawa, Japan
| | - Noriko F. Hiroi
- Faculty of Creative Engineering, Kanagawa Institute of Technology, Kanagawa, Japan
- Keio University School of Medicine, Tokyo, Japan
| | - Finterly Hu
- Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, Netherlands
- Department of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, Maastricht, Netherlands
| | - Nhung Pham
- Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, Netherlands
- Department of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, Maastricht, Netherlands
| | - Friederike Ehrhart
- Department of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, Maastricht, Netherlands
| | - Egon L. Willighagen
- Department of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, Maastricht, Netherlands
| | - Alberto Valdeolivas
- Institute for Computational Biomedicine, Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Bioquant, Heidelberg, Germany
| | - Aurelien Dugourd
- Institute for Computational Biomedicine, Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Bioquant, Heidelberg, Germany
| | - Francesco Messina
- Department of Epidemiology, Preclinical Research and Advanced Diagnostic, National Institute for Infectious Diseases’ Lazzaro Spallanzani’ - IRCCS, Rome, Italy
| | - Marina Esteban-Medina
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, Sevilla, Spain
- Computational Systems Medicine, Institute of Biomedicine of Seville (IBIS), Hospital Virgen del Rocío, Sevilla, Spain
| | - Maria Peña-Chilet
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, Sevilla, Spain
- Computational Systems Medicine, Institute of Biomedicine of Seville (IBIS), Hospital Virgen del Rocío, Sevilla, Spain
- Bioinformatics in Rare Diseases (BiER), Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), FPS, Hospital Virgen del Rocio, Seville, Spain
| | - Kinza Rian
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, Sevilla, Spain
| | - Sylvain Soliman
- Lifeware Group, Inria, Saclay-île de France, Palaiseau, France
| | - Sara Sadat Aghamiri
- Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Bhanwar Lal Puniya
- Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Aurélien Naldi
- Lifeware Group, Inria, Saclay-île de France, Palaiseau, France
| | - Tomáš Helikar
- Department of Biochemistry, University of Nebraska-Lincoln, Lincoln, NE, United States
| | - Vidisha Singh
- Université Paris-Saclay, Laboratoire Européen de Recherche pour la Polyarthrite rhumatoïde - Genhotel, Univ Evry, Evry, France
| | | | - Viviam Bermudez
- Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Eirini Tsirvouli
- Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Arnau Montagud
- Barcelona Supercomputing Center (BSC.), Barcelona, Spain
| | - Vincent Noël
- Institut Curie, P.S.L. Research University, Paris, France
- INSERM, Paris, France
- MINES ParisTech, PSL Research University, CBIO-Centre for Computational Biology, Paris, France
| | | | | | | | - Benjamin M. Gyori
- Harvard Medical School, Laboratory of Systems Pharmacology, Boston, MA, United States
| | - John A. Bachman
- Harvard Medical School, Laboratory of Systems Pharmacology, Boston, MA, United States
| | - Augustin Luna
- Computational Biology Branch, National Library of Medicine, Bethesda, MD, United States
- Department of Systems Biology, Harvard Medical School, Boston, MA, United States
| | - Janet Piñero
- Medbioinformatics Solutions SL, Barcelona, Spain
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Dept. of Medicine and Life Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Laura I. Furlong
- Medbioinformatics Solutions SL, Barcelona, Spain
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute (IMIM), Dept. of Medicine and Life Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Irina Balaur
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Adrien Rougny
- Biotechnology Research Institute for Drug Discovery, National Institute of Advanced Industrial Science and Technology (AIST), Aomi, Tokyo, Japan
- Com. Bio Big Data Open Innovation Lab. (CBBD-OIL), AIST, Aomi, Tokyo, Japan
| | - Yohan Jarosz
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Rupert W. Overall
- Institute for Biology, Humboldt University of Berlin, Berlin, Germany
| | - Robert Phair
- Integrative Bioinformatics, Inc., Mountain View, CA, United States
| | - Livia Perfetto
- Department of Biology and Biotechnology Charles Darwin, Sapienza University of Rome, Rome, Italy
| | - Lisa Matthews
- Department of Biochemistry & Molecular Pharmacology, NYU. Langone Medical Center, New York, NY, United States
| | | | | | - Luis Cristobal Monraz Gomez
- Institut Curie, P.S.L. Research University, Paris, France
- INSERM, Paris, France
- MINES ParisTech, PSL Research University, CBIO-Centre for Computational Biology, Paris, France
| | | | - Jean Marie Ravel
- Institut Curie, P.S.L. Research University, Paris, France
- INSERM, Paris, France
- MINES ParisTech, PSL Research University, CBIO-Centre for Computational Biology, Paris, France
| | - Bijay Jassal
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Venkata Satagopam
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Frankfurt Institute for Advanced Studies, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt am Main, Germany
| | - Guanming Wu
- Oregon Health Sciences University, Portland, OR, United States
| | - Martin Golebiewski
- Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany
| | - Piotr Gawron
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Laurence Calzone
- Institut Curie, P.S.L. Research University, Paris, France
- INSERM, Paris, France
- MINES ParisTech, PSL Research University, CBIO-Centre for Computational Biology, Paris, France
| | | | - Chris T. Evelo
- Department of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, Maastricht, Netherlands
| | - Peter D’Eustachio
- Department of Biochemistry & Molecular Pharmacology, NYU. Langone Medical Center, New York, NY, United States
| | - Falk Schreiber
- Department of Computer and Information Science, University of Konstanz, Konstanz, Germany
- Faculty of Information Technology, Monash University, Clayton, Victoria, VIC, Australia
| | - Julio Saez-Rodriguez
- Institute for Computational Biomedicine, Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Bioquant, Heidelberg, Germany
| | - Joaquin Dopazo
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, Sevilla, Spain
- Computational Systems Medicine, Institute of Biomedicine of Seville (IBIS), Hospital Virgen del Rocío, Sevilla, Spain
- Bioinformatics in Rare Diseases (BiER), Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), FPS, Hospital Virgen del Rocio, Seville, Spain
- FPS/ELIXIR-es, Hospital Virgen del Rocío, Sevilla, Spain
| | - Martin Kuiper
- Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Alfonso Valencia
- Barcelona Supercomputing Center (BSC.), Barcelona, Spain
- I.C.R.E.A., Pg. Lluís Companys 23, Barcelona, Spain
| | - Olaf Wolkenhauer
- Department of Systems Biology & Bioinformatics, University of Rostock, Rostock, Germany
- Leibniz Institute for Food Systems Biology, at the Technical University Munich, Munich, Germany
| | | | - Emmanuel Barillot
- Institut Curie, P.S.L. Research University, Paris, France
- INSERM, Paris, France
- MINES ParisTech, PSL Research University, CBIO-Centre for Computational Biology, Paris, France
| | | | - Rudi Balling
- Institute of Molecular Psychiatry, University of Bonn, Bonn, Germany
| | - Reinhard Schneider
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
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Capelle CM, Ciré S, Hedin F, Hansen M, Pavelka L, Grzyb K, Kyriakis D, Hunewald O, Konstantinou M, Revets D, Tslaf V, Marques TM, Gomes CPC, Baron A, Domingues O, Gomez M, Zeng N, Betsou F, May P, Skupin A, Cosma A, Balling R, Krüger R, Ollert M, Hefeng FQ. Early-to-mid stage idiopathic Parkinson's disease shows enhanced cytotoxicity and differentiation in CD8 T-cells in females. Nat Commun 2023; 14:7461. [PMID: 37985656 PMCID: PMC10662447 DOI: 10.1038/s41467-023-43053-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 10/31/2023] [Indexed: 11/22/2023] Open
Abstract
Neuroinflammation in the brain contributes to the pathogenesis of Parkinson's disease (PD), but the potential dysregulation of peripheral immunity has not been systematically investigated for idiopathic PD (iPD). Here we showed an elevated peripheral cytotoxic immune milieu, with more terminally-differentiated effector memory (TEMRA) CD8 T, CD8+ NKT cells and circulating cytotoxic molecules in fresh blood of patients with early-to-mid iPD, especially females, after analyzing > 700 innate and adaptive immune features. This profile, also reflected by fewer CD8+FOXP3+ T cells, was confirmed in another subcohort. Co-expression between cytotoxic molecules was selectively enhanced in CD8 TEMRA and effector memory (TEM) cells. Single-cell RNA-sequencing analysis demonstrated the accelerated differentiation within CD8 compartments, enhanced cytotoxic pathways in CD8 TEMRA and TEM cells, while CD8 central memory (TCM) and naïve cells were already more-active and transcriptionally-reprogrammed. Our work provides a comprehensive map of dysregulated peripheral immunity in iPD, proposing candidates for early diagnosis and treatments.
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Affiliation(s)
- Christophe M Capelle
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, 2 Av. de Université, L-4365, Esch-sur-Alzette, Luxembourg
- Institute of Microbiology, ETH Zurich, Vladimir-Prelog-Weg 4, CH-8049, Zurich, Switzerland
| | - Séverine Ciré
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
- Eligo Bioscience, 111 Av. de France, 75013, Paris, France
| | - Fanny Hedin
- National Cytometry Platform, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
| | - Maxime Hansen
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Av. du Swing, L-4367, Belvaux, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), 4 Rue Nicolas Ernest Barblé, L-1210, Luxembourg, Luxembourg
| | - Lukas Pavelka
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Av. du Swing, L-4367, Belvaux, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), 4 Rue Nicolas Ernest Barblé, L-1210, Luxembourg, Luxembourg
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), 1A-B Rue Thomas Edison, L-1445, Strassen, Luxembourg
| | - Kamil Grzyb
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Av. du Swing, L-4367, Belvaux, Luxembourg
| | - Dimitrios Kyriakis
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Av. du Swing, L-4367, Belvaux, Luxembourg
- Icahn School of Medicine at Mount Sinai, New York, NY, 10029-5674, USA
| | - Oliver Hunewald
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
| | - Maria Konstantinou
- National Cytometry Platform, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
| | - Dominique Revets
- National Cytometry Platform, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
| | - Vera Tslaf
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, 2 Av. de Université, L-4365, Esch-sur-Alzette, Luxembourg
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), 1A-B Rue Thomas Edison, L-1445, Strassen, Luxembourg
| | - Tainá M Marques
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), 1A-B Rue Thomas Edison, L-1445, Strassen, Luxembourg
| | - Clarissa P C Gomes
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Av. du Swing, L-4367, Belvaux, Luxembourg
| | - Alexandre Baron
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
| | - Olivia Domingues
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
| | - Mario Gomez
- National Cytometry Platform, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
| | - Ni Zeng
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, 2 Av. de Université, L-4365, Esch-sur-Alzette, Luxembourg
| | - Fay Betsou
- Integrated Biobank of Luxembourg (IBBL), Luxembourg Institute of Health (LIH), 1 Rue Louis Rech, L-3555, Dudelange, Luxembourg
- CRBIP, Institut Pasteur, Université Paris Cité, Paris, France
| | - Patrick May
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Av. du Swing, L-4367, Belvaux, Luxembourg
| | - Alexander Skupin
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Av. du Swing, L-4367, Belvaux, Luxembourg
- Department of Physics and Material Science, University of Luxembourg, 162a Av. de la Faïencerie, L-1511, Luxembourg, Luxembourg
- Department of Neurosciences, University California San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA, 92093-0662, USA
| | - Antonio Cosma
- National Cytometry Platform, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Av. du Swing, L-4367, Belvaux, Luxembourg
- Institute of Molecular Psychiatry, University of Bonn, Venusberg-Campus 1, D-53127, Bonn, Germany
| | - Rejko Krüger
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Av. du Swing, L-4367, Belvaux, Luxembourg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg (CHL), 4 Rue Nicolas Ernest Barblé, L-1210, Luxembourg, Luxembourg
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), 1A-B Rue Thomas Edison, L-1445, Strassen, Luxembourg
| | - Markus Ollert
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg.
- Department of Dermatology and Allergy Center, Odense Research Center for Anaphylaxis (ORCA), University of Southern Denmark, Odense, 5000C, Denmark.
| | - Feng Q Hefeng
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 Rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg.
- Data Integration and Analysis Unit, Luxembourg Institute of Health (LIH), L-1445, Strassen, Luxembourg.
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Balling R, Stover PJ. Nutrition in the Age of Precision and Systems Biology. Annu Rev Nutr 2023; 43:v-vi. [PMID: 37603432 DOI: 10.1146/annurev-nu-43-062723-100001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
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Pavelka L, Rauschenberger A, Landoulsi Z, Pachchek S, May P, Glaab E, Krüger R, Acharya G, Aguayo G, Alexandre M, Ali M, Allen D, Ammerlann W, Balling R, Bassis M, Beaumont K, Becker R, Bellora C, Berchem G, Berg D, Bisdorff A, Brockmann K, Calmes J, Castillo L, Contesotto G, Diederich N, Dondelinger R, Esteves D, Fagherazzi G, Ferrand JY, Gantenbein M, Gasser T, Gawron P, Ghosh S, Glaab E, Gomes C, De Lope EG, Goncharenko N, Graas J, Graziano M, Groues V, Grünewald A, Gu W, Hammot G, Hanff AM, Hansen L, Hansen M, Heneka M, Henry E, Herbrink S, Herenne E, Herzinger S, Heymann M, Hu M, Hundt A, Jacoby N, Lebioda JJ, Jaroz Y, Klopfenstein Q, Krüger R, Lambert P, Landoulsi Z, Lentz R, Liepelt I, Liszka R, Longhino L, Lorentz V, Lupu PC, Mackay C, Maetzler W, Marcus K, Marques G, Marques T, May P, Mcintyre D, Mediouni C, Meisch F, Menster M, Minelli M, Mittelbronn M, Mollenhauer B, Mommaerts K, Moreno C, Moudio S, Mühlschlegel F, Nati R, Nehrbass U, Nickels S, Nicolai B, Nicolay JP, Oertel W, Ostaszewski M, Pachchek S, Pauly C, Pauly L, Pavelka L, Perquin M, Lima RR, Rauschenberger A, Rawal R, Bobbili DR, Rosales E, Rosety I, Rump K, Sandt E, Satagopam V, Schlesser M, Schmitt M, Schmitz S, Schneider R, Schwamborn J, Sharify A, Soboleva E, Sokolowska K, Terwindt O, Thien H, Thiry E, Loo RTJ, Trefois C, Trouet J, Tsurkalenko O, Vaillant M, Valenti M, Boas LV, Vyas M, Wade-Martins R, Wilmes P. Age at onset as stratifier in idiopathic Parkinson’s disease – effect of ageing and polygenic risk score on clinical phenotypes. NPJ Parkinsons Dis 2022; 8:102. [PMID: 35945230 PMCID: PMC9363416 DOI: 10.1038/s41531-022-00342-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 05/30/2022] [Indexed: 12/23/2022] Open
Abstract
Several phenotypic differences observed in Parkinson’s disease (PD) patients have been linked to age at onset (AAO). We endeavoured to find out whether these differences are due to the ageing process itself by using a combined dataset of idiopathic PD (n = 430) and healthy controls (HC; n = 556) excluding carriers of known PD-linked genetic mutations in both groups. We found several significant effects of AAO on motor and non-motor symptoms in PD, but when comparing the effects of age on these symptoms with HC (using age at assessment, AAA), only positive associations of AAA with burden of motor symptoms and cognitive impairment were significantly different between PD vs HC. Furthermore, we explored a potential effect of polygenic risk score (PRS) on clinical phenotype and identified a significant inverse correlation of AAO and PRS in PD. No significant association between PRS and severity of clinical symptoms was found. We conclude that the observed non-motor phenotypic differences in PD based on AAO are largely driven by the ageing process itself and not by a specific profile of neurodegeneration linked to AAO in the idiopathic PD patients.
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Danileviciute E, Zeng N, Capelle CM, Paczia N, Gillespie MA, Kurniawan H, Benzarti M, Merz MP, Coowar D, Fritah S, Vogt Weisenhorn DM, Gomez Giro G, Grusdat M, Baron A, Guerin C, Franchina DG, Léonard C, Domingues O, Delhalle S, Wurst W, Turner JD, Schwamborn JC, Meiser J, Krüger R, Ranish J, Brenner D, Linster CL, Balling R, Ollert M, Hefeng FQ. PARK7/DJ-1 promotes pyruvate dehydrogenase activity and maintains T reg homeostasis during ageing. Nat Metab 2022; 4:589-607. [PMID: 35618940 DOI: 10.1038/s42255-022-00576-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 04/20/2022] [Indexed: 12/16/2022]
Abstract
Pyruvate dehydrogenase (PDH) is the gatekeeper enzyme of the tricarboxylic acid (TCA) cycle. Here we show that the deglycase DJ-1 (encoded by PARK7, a key familial Parkinson's disease gene) is a pacemaker regulating PDH activity in CD4+ regulatory T cells (Treg cells). DJ-1 binds to PDHE1-β (PDHB), inhibiting phosphorylation of PDHE1-α (PDHA), thus promoting PDH activity and oxidative phosphorylation (OXPHOS). Park7 (Dj-1) deletion impairs Treg survival starting in young mice and reduces Treg homeostatic proliferation and cellularity only in aged mice. This leads to increased severity in aged mice during the remission of experimental autoimmune encephalomyelitis (EAE). Dj-1 deletion also compromises differentiation of inducible Treg cells especially in aged mice, and the impairment occurs via regulation of PDHB. These findings provide unforeseen insight into the complicated regulatory machinery of the PDH complex. As Treg homeostasis is dysregulated in many complex diseases, the DJ-1-PDHB axis represents a potential target to maintain or re-establish Treg homeostasis.
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Affiliation(s)
- Egle Danileviciute
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Ni Zeng
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Christophe M Capelle
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Nicole Paczia
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | | | - Henry Kurniawan
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
| | - Mohaned Benzarti
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- Cancer Metabolism Group, Department of Cancer Research, LIH, Luxembourg, Luxembourg
| | - Myriam P Merz
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Djalil Coowar
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Sabrina Fritah
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, LIH, Luxembourg, Luxembourg
| | - Daniela Maria Vogt Weisenhorn
- Helmholtz Zentrum München-German Research Center for Environmental Health, Institute of Developmental Genetics, Neuherberg, Germany
- Technische Universität München-Weihenstephan, Neuherberg/Munich, Germany
| | - Gemma Gomez Giro
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Melanie Grusdat
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
| | - Alexandre Baron
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
| | - Coralie Guerin
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
| | - Davide G Franchina
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Cathy Léonard
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
| | - Olivia Domingues
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
| | - Sylvie Delhalle
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
| | - Wolfgang Wurst
- Helmholtz Zentrum München-German Research Center for Environmental Health, Institute of Developmental Genetics, Neuherberg, Germany
- Technische Universität München-Weihenstephan, Neuherberg/Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Jonathan D Turner
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
| | | | - Johannes Meiser
- Cancer Metabolism Group, Department of Cancer Research, LIH, Luxembourg, Luxembourg
| | - Rejko Krüger
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
- Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg
- Transversal Translational Medicine, Strassen, Luxembourg
| | - Jeff Ranish
- Institute for Systems Biology, Seattle, WA, USA
| | - Dirk Brenner
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
- Department of Dermatology and Allergy Center, Odense Research Center for Anaphylaxis, University of Southern Denmark, Odense, Denmark
| | - Carole L Linster
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
- Institute of Molecular Psychiatry, University of Bonn, Bonn, Germany
| | - Markus Ollert
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
- Department of Dermatology and Allergy Center, Odense Research Center for Anaphylaxis, University of Southern Denmark, Odense, Denmark
| | - Feng Q Hefeng
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg.
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.
- Institute of Medical Microbiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
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6
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Zeng N, Capelle CM, Baron A, Kobayashi T, Cire S, Tslaf V, Leonard C, Coowar D, Koseki H, Westendorf AM, Buer J, Brenner D, Krüger R, Balling R, Ollert M, Hefeng FQ. DJ-1 depletion prevents immunoaging in T-cell compartments. EMBO Rep 2022; 23:e53302. [PMID: 35037711 PMCID: PMC8892345 DOI: 10.15252/embr.202153302] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [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: 05/20/2021] [Revised: 12/09/2021] [Accepted: 12/16/2021] [Indexed: 12/22/2022] Open
Abstract
Decline in immune function during aging increases susceptibility to different aging‐related diseases. However, the underlying molecular mechanisms, especially the genetic factors contributing to imbalance of naïve/memory T‐cell subpopulations, still remain largely elusive. Here, we show that loss of DJ‐1 encoded by PARK7/DJ‐1, causing early‐onset familial Parkinson’s disease (PD), unexpectedly diminished signs of immunoaging in T‐cell compartments of both human and mice. Compared with two gender‐matched unaffected siblings of similar ages, the index PD patient with DJ‐1 deficiency showed a decline in many critical immunoaging features, including almost doubled non‐senescent T cells. The observation was further consolidated by the results in 45‐week‐old DJ‐1 knockout mice. Our data demonstrated that DJ‐1 regulates several immunoaging features via hematopoietic‐intrinsic and naïve‐CD8‐intrinsic mechanisms. Mechanistically, DJ‐1 depletion reduced oxidative phosphorylation (OXPHOS) and impaired TCR sensitivity in naïve CD8 T cells at a young age, accumulatively leading to a reduced aging process in T‐cell compartments in older mice. Our finding suggests an unrecognized critical role of DJ‐1 in regulating immunoaging, discovering a potent target to interfere with immunoaging‐ and aging‐associated diseases.
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Affiliation(s)
- Ni Zeng
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg.,Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Christophe M Capelle
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg.,Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Alexandre Baron
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
| | - Takumi Kobayashi
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
| | - Severine Cire
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
| | - Vera Tslaf
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg.,Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.,Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
| | - Cathy Leonard
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg
| | - Djalil Coowar
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg
| | - Haruhiko Koseki
- Laboratory for Developmental Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.,AMED-CREST, Japanese Agency for Medical Research and Development, Yokohama, Japan
| | - Astrid M Westendorf
- Institute of Medical Microbiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Jan Buer
- Institute of Medical Microbiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Dirk Brenner
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg.,Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg
| | - Rejko Krüger
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg.,Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg.,Centre Hospitalier de Luxembourg (CHL), Luxembourg, Luxembourg
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg
| | - Markus Ollert
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg.,Department of Dermatology and Allergy Center, Odense Research Center for Anaphylaxis (ORCA), University of Southern Denmark, Odense, Denmark
| | - Feng Q Hefeng
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg.,Institute of Medical Microbiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
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7
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Garcia P, Jürgens‐Wemheuer W, Uriarte Huarte O, Michelucci A, Masuch A, Brioschi S, Weihofen A, Koncina E, Coowar D, Heurtaux T, Glaab E, Balling R, Sousa C, Kaoma T, Nicot N, Pfander T, Schulz‐Schaeffer W, Allouche A, Fischer N, Biber K, Kleine‐Borgmann F, Mittelbronn M, Ostaszewski M, Schmit KJ, Buttini M. Neurodegeneration and neuroinflammation are linked, but independent of alpha‐synuclein inclusions, in a seeding/spreading mouse model of Parkinson's disease. Glia 2022; 70:935-960. [PMID: 35092321 PMCID: PMC9305192 DOI: 10.1002/glia.24149] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 01/07/2022] [Accepted: 01/13/2022] [Indexed: 12/16/2022]
Abstract
A key pathological process in Parkinson's disease (PD) is the transneuronal spreading of α‐synuclein. Alpha‐synuclein (α‐syn) is a presynaptic protein that, in PD, forms pathological inclusions. Other hallmarks of PD include neurodegeneration and microgliosis in susceptible brain regions. Whether it is primarily transneuronal spreading of α‐syn particles, inclusion formation, or other mechanisms, such as inflammation, that cause neurodegeneration in PD is unclear. We used a model of spreading of α‐syn induced by striatal injection of α‐syn preformed fibrils into the mouse striatum to address this question. We performed quantitative analysis for α‐syn inclusions, neurodegeneration, and microgliosis in different brain regions, and generated gene expression profiles of the ventral midbrain, at two different timepoints after disease induction. We observed significant neurodegeneration and microgliosis in brain regions not only with, but also without α‐syn inclusions. We also observed prominent microgliosis in injured brain regions that did not correlate with neurodegeneration nor with inclusion load. Using longitudinal gene expression profiling, we observed early gene expression changes, linked to neuroinflammation, that preceded neurodegeneration, indicating an active role of microglia in this process. Altered gene pathways overlapped with those typical of PD. Our observations indicate that α‐syn inclusion formation is not the major driver in the early phases of PD‐like neurodegeneration, but that microglia, activated by diffusible, oligomeric α‐syn, may play a key role in this process. Our findings uncover new features of α‐syn induced pathologies, in particular microgliosis, and point to the necessity for a broader view of the process of α‐syn spreading.
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Affiliation(s)
- Pierre Garcia
- Luxembourg Centre for Systems Biomedicine University of Luxembourg Esch‐sur‐Alzette Luxembourg
- Luxembourg Center of Neuropathology Dudelange Luxembourg
| | - Wiebke Jürgens‐Wemheuer
- Luxembourg Centre for Systems Biomedicine University of Luxembourg Esch‐sur‐Alzette Luxembourg
- Institute of Neuropathology Saarland University Clinic (UKS) Homburg Germany
| | - Oihane Uriarte Huarte
- Luxembourg Centre for Systems Biomedicine University of Luxembourg Esch‐sur‐Alzette Luxembourg
- Luxembourg Center of Neuropathology Dudelange Luxembourg
| | - Alessandro Michelucci
- Luxembourg Centre for Systems Biomedicine University of Luxembourg Esch‐sur‐Alzette Luxembourg
- Department of Cancer Research Luxembourg Institute of Health Strassen Luxembourg
| | - Annette Masuch
- Department of Psychiatry University of Freiburg Medical Center Freiburg Germany
| | - Simone Brioschi
- Department of Psychiatry University of Freiburg Medical Center Freiburg Germany
| | | | - Eric Koncina
- Department of Life Science and Medicine University of Luxembourg Esch‐sur‐Alzette Luxembourg
| | - Djalil Coowar
- Luxembourg Centre for Systems Biomedicine University of Luxembourg Esch‐sur‐Alzette Luxembourg
| | - Tony Heurtaux
- Luxembourg Center of Neuropathology Dudelange Luxembourg
- Department of Life Science and Medicine University of Luxembourg Esch‐sur‐Alzette Luxembourg
| | - Enrico Glaab
- Luxembourg Centre for Systems Biomedicine University of Luxembourg Esch‐sur‐Alzette Luxembourg
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine University of Luxembourg Esch‐sur‐Alzette Luxembourg
| | - Carole Sousa
- Department of Cancer Research Luxembourg Institute of Health Strassen Luxembourg
| | - Tony Kaoma
- Department of Cancer Research Luxembourg Institute of Health Strassen Luxembourg
| | - Nathalie Nicot
- Department of Cancer Research Luxembourg Institute of Health Strassen Luxembourg
| | - Tatjana Pfander
- Institute of Neuropathology Saarland University Clinic (UKS) Homburg Germany
| | | | | | | | - Knut Biber
- Department of Psychiatry University of Freiburg Medical Center Freiburg Germany
| | - Felix Kleine‐Borgmann
- Luxembourg Center of Neuropathology Dudelange Luxembourg
- Department of Cancer Research Luxembourg Institute of Health Strassen Luxembourg
- Faculty of Science, Technology and Medicine University of Luxembourg Esch‐sur‐Alzette Luxembourg
| | - Michel Mittelbronn
- Luxembourg Centre for Systems Biomedicine University of Luxembourg Esch‐sur‐Alzette Luxembourg
- Luxembourg Center of Neuropathology Dudelange Luxembourg
- Department of Cancer Research Luxembourg Institute of Health Strassen Luxembourg
- Department of Life Science and Medicine University of Luxembourg Esch‐sur‐Alzette Luxembourg
- Faculty of Science, Technology and Medicine University of Luxembourg Esch‐sur‐Alzette Luxembourg
| | - Marek Ostaszewski
- Luxembourg Centre for Systems Biomedicine University of Luxembourg Esch‐sur‐Alzette Luxembourg
| | - Kristopher J. Schmit
- Luxembourg Centre for Systems Biomedicine University of Luxembourg Esch‐sur‐Alzette Luxembourg
- Luxembourg Center of Neuropathology Dudelange Luxembourg
| | - Manuel Buttini
- Luxembourg Centre for Systems Biomedicine University of Luxembourg Esch‐sur‐Alzette Luxembourg
- Luxembourg Center of Neuropathology Dudelange Luxembourg
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8
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Ostaszewski M, Niarakis A, Mazein A, Kuperstein I, Phair R, Orta-Resendiz A, Singh V, Aghamiri SS, Acencio ML, Glaab E, Ruepp A, Fobo G, Montrone C, Brauner B, Frishman G, Monraz Gómez LC, Somers J, Hoch M, Kumar Gupta S, Scheel J, Borlinghaus H, Czauderna T, Schreiber F, Montagud A, Ponce de Leon M, Funahashi A, Hiki Y, Hiroi N, Yamada TG, Dräger A, Renz A, Naveez M, Bocskei Z, Messina F, Börnigen D, Fergusson L, Conti M, Rameil M, Nakonecnij V, Vanhoefer J, Schmiester L, Wang M, Ackerman EE, Shoemaker JE, Zucker J, Oxford K, Teuton J, Kocakaya E, Summak GY, Hanspers K, Kutmon M, Coort S, Eijssen L, Ehrhart F, Rex DAB, Slenter D, Martens M, Pham N, Haw R, Jassal B, Matthews L, Orlic-Milacic M, Senff-Ribeiro A, Rothfels K, Shamovsky V, Stephan R, Sevilla C, Varusai T, Ravel JM, Fraser R, Ortseifen V, Marchesi S, Gawron P, Smula E, Heirendt L, Satagopam V, Wu G, Riutta A, Golebiewski M, Owen S, Goble C, Hu X, Overall RW, Maier D, Bauch A, Gyori BM, Bachman JA, Vega C, Grouès V, Vazquez M, Porras P, Licata L, Iannuccelli M, Sacco F, Nesterova A, Yuryev A, de Waard A, Turei D, Luna A, Babur O, Soliman S, Valdeolivas A, Esteban-Medina M, Peña-Chilet M, Rian K, Helikar T, Puniya BL, Modos D, Treveil A, Olbei M, De Meulder B, Ballereau S, Dugourd A, Naldi A, Noël V, Calzone L, Sander C, Demir E, Korcsmaros T, Freeman TC, Augé F, Beckmann JS, Hasenauer J, Wolkenhauer O, Willighagen EL, Pico AR, Evelo CT, Gillespie ME, Stein LD, Hermjakob H, D'Eustachio P, Saez-Rodriguez J, Dopazo J, Valencia A, Kitano H, Barillot E, Auffray C, Balling R, Schneider R. COVID-19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms. Mol Syst Biol 2021; 17:e10851. [PMID: 34939300 PMCID: PMC8696085 DOI: 10.15252/msb.202110851] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 12/07/2021] [Indexed: 11/19/2022] Open
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9
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Balling R, Stover PJ. Celebrating 40 Years of the Annual Review of Nutrition. Annu Rev Nutr 2021; 41:v-vi. [PMID: 34633857 DOI: 10.1146/annurev-nu-41-080221-100001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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10
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Ostaszewski M, Niarakis A, Mazein A, Kuperstein I, Phair R, Orta‐Resendiz A, Singh V, Aghamiri SS, Acencio ML, Glaab E, Ruepp A, Fobo G, Montrone C, Brauner B, Frishman G, Monraz Gómez LC, Somers J, Hoch M, Kumar Gupta S, Scheel J, Borlinghaus H, Czauderna T, Schreiber F, Montagud A, Ponce de Leon M, Funahashi A, Hiki Y, Hiroi N, Yamada TG, Dräger A, Renz A, Naveez M, Bocskei Z, Messina F, Börnigen D, Fergusson L, Conti M, Rameil M, Nakonecnij V, Vanhoefer J, Schmiester L, Wang M, Ackerman EE, Shoemaker JE, Zucker J, Oxford K, Teuton J, Kocakaya E, Summak GY, Hanspers K, Kutmon M, Coort S, Eijssen L, Ehrhart F, Rex DAB, Slenter D, Martens M, Pham N, Haw R, Jassal B, Matthews L, Orlic‐Milacic M, Senff Ribeiro A, Rothfels K, Shamovsky V, Stephan R, Sevilla C, Varusai T, Ravel J, Fraser R, Ortseifen V, Marchesi S, Gawron P, Smula E, Heirendt L, Satagopam V, Wu G, Riutta A, Golebiewski M, Owen S, Goble C, Hu X, Overall RW, Maier D, Bauch A, Gyori BM, Bachman JA, Vega C, Grouès V, Vazquez M, Porras P, Licata L, Iannuccelli M, Sacco F, Nesterova A, Yuryev A, de Waard A, Turei D, Luna A, Babur O, Soliman S, Valdeolivas A, Esteban‐Medina M, Peña‐Chilet M, Rian K, Helikar T, Puniya BL, Modos D, Treveil A, Olbei M, De Meulder B, Ballereau S, Dugourd A, Naldi A, Noël V, Calzone L, Sander C, Demir E, Korcsmaros T, Freeman TC, Augé F, Beckmann JS, Hasenauer J, Wolkenhauer O, Wilighagen EL, Pico AR, Evelo CT, Gillespie ME, Stein LD, Hermjakob H, D'Eustachio P, Saez‐Rodriguez J, Dopazo J, Valencia A, Kitano H, Barillot E, Auffray C, Balling R, Schneider R. COVID19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms. Mol Syst Biol 2021; 17:e10387. [PMID: 34664389 PMCID: PMC8524328 DOI: 10.15252/msb.202110387] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 08/25/2021] [Accepted: 08/26/2021] [Indexed: 12/13/2022] Open
Abstract
We need to effectively combine the knowledge from surging literature with complex datasets to propose mechanistic models of SARS-CoV-2 infection, improving data interpretation and predicting key targets of intervention. Here, we describe a large-scale community effort to build an open access, interoperable and computable repository of COVID-19 molecular mechanisms. The COVID-19 Disease Map (C19DMap) is a graphical, interactive representation of disease-relevant molecular mechanisms linking many knowledge sources. Notably, it is a computational resource for graph-based analyses and disease modelling. To this end, we established a framework of tools, platforms and guidelines necessary for a multifaceted community of biocurators, domain experts, bioinformaticians and computational biologists. The diagrams of the C19DMap, curated from the literature, are integrated with relevant interaction and text mining databases. We demonstrate the application of network analysis and modelling approaches by concrete examples to highlight new testable hypotheses. This framework helps to find signatures of SARS-CoV-2 predisposition, treatment response or prioritisation of drug candidates. Such an approach may help deal with new waves of COVID-19 or similar pandemics in the long-term perspective.
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Affiliation(s)
- Marek Ostaszewski
- Luxembourg Centre for Systems BiomedicineUniversity of LuxembourgEsch‐sur‐AlzetteLuxembourg
| | - Anna Niarakis
- Université Paris‐SaclayLaboratoire Européen de Recherche pour la Polyarthrite rhumatoïde ‐ GenhotelUniv EvryEvryFrance
- Lifeware GroupInria Saclay‐Ile de FrancePalaiseauFrance
| | - Alexander Mazein
- Luxembourg Centre for Systems BiomedicineUniversity of LuxembourgEsch‐sur‐AlzetteLuxembourg
| | - Inna Kuperstein
- Institut CuriePSL Research UniversityParisFrance
- INSERMParisFrance
- MINES ParisTechPSL Research UniversityParisFrance
| | - Robert Phair
- Integrative Bioinformatics, Inc.Mountain ViewCAUSA
| | - Aurelio Orta‐Resendiz
- Institut PasteurUniversité de Paris, Unité HIVInflammation et PersistanceParisFrance
- Bio Sorbonne Paris CitéUniversité de ParisParisFrance
| | - Vidisha Singh
- Université Paris‐SaclayLaboratoire Européen de Recherche pour la Polyarthrite rhumatoïde ‐ GenhotelUniv EvryEvryFrance
| | - Sara Sadat Aghamiri
- Inserm‐ Institut national de la santé et de la recherche médicaleParisFrance
| | - Marcio Luis Acencio
- Luxembourg Centre for Systems BiomedicineUniversity of LuxembourgEsch‐sur‐AlzetteLuxembourg
| | - Enrico Glaab
- Luxembourg Centre for Systems BiomedicineUniversity of LuxembourgEsch‐sur‐AlzetteLuxembourg
| | - Andreas Ruepp
- Institute of Experimental Genetics (IEG)Helmholtz Zentrum München‐German Research Center for Environmental Health (GmbH)NeuherbergGermany
| | - Gisela Fobo
- Institute of Experimental Genetics (IEG)Helmholtz Zentrum München‐German Research Center for Environmental Health (GmbH)NeuherbergGermany
| | - Corinna Montrone
- Institute of Experimental Genetics (IEG)Helmholtz Zentrum München‐German Research Center for Environmental Health (GmbH)NeuherbergGermany
| | - Barbara Brauner
- Institute of Experimental Genetics (IEG)Helmholtz Zentrum München‐German Research Center for Environmental Health (GmbH)NeuherbergGermany
| | - Goar Frishman
- Institute of Experimental Genetics (IEG)Helmholtz Zentrum München‐German Research Center for Environmental Health (GmbH)NeuherbergGermany
| | - Luis Cristóbal Monraz Gómez
- Institut CuriePSL Research UniversityParisFrance
- INSERMParisFrance
- MINES ParisTechPSL Research UniversityParisFrance
| | - Julia Somers
- Department of Molecular and Medical GeneticsOregon Health & Sciences UniversityPortlandORUSA
| | - Matti Hoch
- Department of Systems Biology and BioinformaticsUniversity of RostockRostockGermany
| | | | - Julia Scheel
- Department of Systems Biology and BioinformaticsUniversity of RostockRostockGermany
| | - Hanna Borlinghaus
- Department of Computer and Information ScienceUniversity of KonstanzKonstanzGermany
| | - Tobias Czauderna
- Faculty of Information TechnologyDepartment of Human‐Centred ComputingMonash UniversityClaytonVic.Australia
| | - Falk Schreiber
- Department of Computer and Information ScienceUniversity of KonstanzKonstanzGermany
- Faculty of Information TechnologyDepartment of Human‐Centred ComputingMonash UniversityClaytonVic.Australia
| | | | | | - Akira Funahashi
- Department of Biosciences and InformaticsKeio UniversityYokohamaJapan
| | - Yusuke Hiki
- Department of Biosciences and InformaticsKeio UniversityYokohamaJapan
| | - Noriko Hiroi
- Graduate School of Media and GovernanceResearch Institute at SFCKeio UniversityKanagawaJapan
| | - Takahiro G Yamada
- Department of Biosciences and InformaticsKeio UniversityYokohamaJapan
| | - Andreas Dräger
- Computational Systems Biology of Infections and Antimicrobial‐Resistant PathogensInstitute for Bioinformatics and Medical Informatics (IBMI)University of TübingenTübingenGermany
- Department of Computer ScienceUniversity of TübingenTübingenGermany
- German Center for Infection Research (DZIF), partner siteTübingenGermany
| | - Alina Renz
- Computational Systems Biology of Infections and Antimicrobial‐Resistant PathogensInstitute for Bioinformatics and Medical Informatics (IBMI)University of TübingenTübingenGermany
- Department of Computer ScienceUniversity of TübingenTübingenGermany
| | - Muhammad Naveez
- Department of Systems Biology and BioinformaticsUniversity of RostockRostockGermany
- Institute of Applied Computer SystemsRiga Technical UniversityRigaLatvia
| | - Zsolt Bocskei
- Sanofi R&DTranslational SciencesChilly‐MazarinFrance
| | - Francesco Messina
- Dipartimento di Epidemiologia Ricerca Pre‐Clinica e Diagnostica AvanzataNational Institute for Infectious Diseases 'Lazzaro Spallanzani' I.R.C.C.S.RomeItaly
- COVID‐19 INMI Network Medicine for IDs Study GroupNational Institute for Infectious Diseases 'Lazzaro Spallanzani' I.R.C.C.SRomeItaly
| | - Daniela Börnigen
- Bioinformatics Core FacilityUniversitätsklinikum Hamburg‐EppendorfHamburgGermany
| | - Liam Fergusson
- Royal (Dick) School of Veterinary MedicineThe University of EdinburghEdinburghUK
| | - Marta Conti
- Faculty of Mathematics and Natural SciencesUniversity of BonnBonnGermany
| | - Marius Rameil
- Faculty of Mathematics and Natural SciencesUniversity of BonnBonnGermany
| | - Vanessa Nakonecnij
- Faculty of Mathematics and Natural SciencesUniversity of BonnBonnGermany
| | - Jakob Vanhoefer
- Faculty of Mathematics and Natural SciencesUniversity of BonnBonnGermany
| | - Leonard Schmiester
- Faculty of Mathematics and Natural SciencesUniversity of BonnBonnGermany
- Center for MathematicsChair of Mathematical Modeling of Biological SystemsTechnische Universität MünchenGarchingGermany
| | - Muying Wang
- Department of Chemical and Petroleum EngineeringUniversity of PittsburghPittsburghPAUSA
| | - Emily E Ackerman
- Department of Chemical and Petroleum EngineeringUniversity of PittsburghPittsburghPAUSA
| | - Jason E Shoemaker
- Department of Chemical and Petroleum EngineeringUniversity of PittsburghPittsburghPAUSA
- Department of Computational and Systems BiologyUniversity of PittsburghPittsburghPAUSA
| | | | | | | | | | | | - Kristina Hanspers
- Institute of Data Science and BiotechnologyGladstone InstitutesSan FranciscoCAUSA
| | - Martina Kutmon
- Department of Bioinformatics ‐ BiGCaTNUTRIMMaastricht UniversityMaastrichtThe Netherlands
- Maastricht Centre for Systems Biology (MaCSBio)Maastricht UniversityMaastrichtThe Netherlands
| | - Susan Coort
- Department of Bioinformatics ‐ BiGCaTNUTRIMMaastricht UniversityMaastrichtThe Netherlands
| | - Lars Eijssen
- Department of Bioinformatics ‐ BiGCaTNUTRIMMaastricht UniversityMaastrichtThe Netherlands
- Maastricht University Medical CentreMaastrichtThe Netherlands
| | - Friederike Ehrhart
- Department of Bioinformatics ‐ BiGCaTNUTRIMMaastricht UniversityMaastrichtThe Netherlands
- Maastricht University Medical CentreMaastrichtThe Netherlands
| | | | - Denise Slenter
- Department of Bioinformatics ‐ BiGCaTNUTRIMMaastricht UniversityMaastrichtThe Netherlands
| | - Marvin Martens
- Department of Bioinformatics ‐ BiGCaTNUTRIMMaastricht UniversityMaastrichtThe Netherlands
| | - Nhung Pham
- Department of Bioinformatics ‐ BiGCaTNUTRIMMaastricht UniversityMaastrichtThe Netherlands
| | - Robin Haw
- MaRS CentreOntario Institute for Cancer ResearchTorontoONCanada
| | - Bijay Jassal
- MaRS CentreOntario Institute for Cancer ResearchTorontoONCanada
| | | | | | - Andrea Senff Ribeiro
- MaRS CentreOntario Institute for Cancer ResearchTorontoONCanada
- Universidade Federal do ParanáCuritibaBrasil
| | - Karen Rothfels
- MaRS CentreOntario Institute for Cancer ResearchTorontoONCanada
| | | | - Ralf Stephan
- MaRS CentreOntario Institute for Cancer ResearchTorontoONCanada
| | - Cristoffer Sevilla
- European Bioinformatics Institute (EMBL‐EBI)European Molecular Biology LaboratoryHinxton, CambridgeshireUK
| | - Thawfeek Varusai
- European Bioinformatics Institute (EMBL‐EBI)European Molecular Biology LaboratoryHinxton, CambridgeshireUK
| | - Jean‐Marie Ravel
- INSERM UMR_S 1256Nutrition, Genetics, and Environmental Risk Exposure (NGERE)Faculty of Medicine of NancyUniversity of LorraineNancyFrance
- Laboratoire de génétique médicaleCHRU NancyNancyFrance
| | - Rupsha Fraser
- Queen's Medical Research InstituteThe University of EdinburghEdinburghUK
| | - Vera Ortseifen
- Senior Research Group in Genome Research of Industrial MicroorganismsCenter for BiotechnologyBielefeld UniversityBielefeldGermany
| | - Silvia Marchesi
- Department of Surgical ScienceUppsala UniversityUppsalaSweden
| | - Piotr Gawron
- Luxembourg Centre for Systems BiomedicineUniversity of LuxembourgEsch‐sur‐AlzetteLuxembourg
- Institute of Computing SciencePoznan University of TechnologyPoznanPoland
| | - Ewa Smula
- Luxembourg Centre for Systems BiomedicineUniversity of LuxembourgEsch‐sur‐AlzetteLuxembourg
| | - Laurent Heirendt
- Luxembourg Centre for Systems BiomedicineUniversity of LuxembourgEsch‐sur‐AlzetteLuxembourg
| | - Venkata Satagopam
- Luxembourg Centre for Systems BiomedicineUniversity of LuxembourgEsch‐sur‐AlzetteLuxembourg
| | - Guanming Wu
- Department of Medical Informatics and Clinical EpidemiologyOregon Health & Science UniversityPortlandORUSA
| | - Anders Riutta
- Institute of Data Science and BiotechnologyGladstone InstitutesSan FranciscoCAUSA
| | | | - Stuart Owen
- Department of Computer ScienceThe University of ManchesterManchesterUK
| | - Carole Goble
- Department of Computer ScienceThe University of ManchesterManchesterUK
| | - Xiaoming Hu
- Heidelberg Institute for Theoretical Studies (HITS)HeidelbergGermany
| | - Rupert W Overall
- German Center for Neurodegenerative Diseases (DZNE) DresdenDresdenGermany
- Center for Regenerative Therapies Dresden (CRTD)Technische Universität DresdenDresdenGermany
- Institute for BiologyHumboldt University of BerlinBerlinGermany
| | | | | | - Benjamin M Gyori
- Harvard Medical SchoolLaboratory of Systems PharmacologyBostonMAUSA
| | - John A Bachman
- Harvard Medical SchoolLaboratory of Systems PharmacologyBostonMAUSA
| | - Carlos Vega
- Luxembourg Centre for Systems BiomedicineUniversity of LuxembourgEsch‐sur‐AlzetteLuxembourg
| | - Valentin Grouès
- Luxembourg Centre for Systems BiomedicineUniversity of LuxembourgEsch‐sur‐AlzetteLuxembourg
| | | | - Pablo Porras
- European Bioinformatics Institute (EMBL‐EBI)European Molecular Biology LaboratoryHinxton, CambridgeshireUK
| | - Luana Licata
- Department of BiologyUniversity of Rome Tor VergataRomeItaly
| | | | - Francesca Sacco
- Department of BiologyUniversity of Rome Tor VergataRomeItaly
| | | | | | | | - Denes Turei
- Institute for Computational BiomedicineHeidelberg UniversityHeidelbergGermany
| | - Augustin Luna
- cBio Center, Divisions of Biostatistics and Computational BiologyDepartment of Data SciencesDana‐Farber Cancer InstituteBostonMAUSA
- Department of Cell BiologyHarvard Medical SchoolBostonMAUSA
| | - Ozgun Babur
- Computer Science DepartmentUniversity of Massachusetts BostonBostonMAUSA
| | | | - Alberto Valdeolivas
- Institute for Computational BiomedicineHeidelberg UniversityHeidelbergGermany
| | - Marina Esteban‐Medina
- Clinical Bioinformatics AreaFundación Progreso y Salud (FPS)Hospital Virgen del RocioSevillaSpain
- Computational Systems Medicine GroupInstitute of Biomedicine of Seville (IBIS)Hospital Virgen del RocioSevillaSpain
| | - Maria Peña‐Chilet
- Clinical Bioinformatics AreaFundación Progreso y Salud (FPS)Hospital Virgen del RocioSevillaSpain
- Computational Systems Medicine GroupInstitute of Biomedicine of Seville (IBIS)Hospital Virgen del RocioSevillaSpain
- Bioinformatics in Rare Diseases (BiER)Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)FPS, Hospital Virgen del RocíoSevillaSpain
| | - Kinza Rian
- Clinical Bioinformatics AreaFundación Progreso y Salud (FPS)Hospital Virgen del RocioSevillaSpain
- Computational Systems Medicine GroupInstitute of Biomedicine of Seville (IBIS)Hospital Virgen del RocioSevillaSpain
| | - Tomáš Helikar
- Department of BiochemistryUniversity of Nebraska‐LincolnLincolnNEUSA
| | | | - Dezso Modos
- Quadram Institute BioscienceNorwichUK
- Earlham InstituteNorwichUK
| | - Agatha Treveil
- Quadram Institute BioscienceNorwichUK
- Earlham InstituteNorwichUK
| | - Marton Olbei
- Quadram Institute BioscienceNorwichUK
- Earlham InstituteNorwichUK
| | | | - Stephane Ballereau
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUK
| | - Aurélien Dugourd
- Institute for Computational BiomedicineHeidelberg UniversityHeidelbergGermany
- Institute of Experimental Medicine and Systems BiologyFaculty of Medicine, RWTHAachen UniversityAachenGermany
| | | | - Vincent Noël
- Institut CuriePSL Research UniversityParisFrance
- INSERMParisFrance
- MINES ParisTechPSL Research UniversityParisFrance
| | - Laurence Calzone
- Institut CuriePSL Research UniversityParisFrance
- INSERMParisFrance
- MINES ParisTechPSL Research UniversityParisFrance
| | - Chris Sander
- cBio Center, Divisions of Biostatistics and Computational BiologyDepartment of Data SciencesDana‐Farber Cancer InstituteBostonMAUSA
- Department of Cell BiologyHarvard Medical SchoolBostonMAUSA
| | - Emek Demir
- Department of Molecular and Medical GeneticsOregon Health & Sciences UniversityPortlandORUSA
| | | | - Tom C Freeman
- The Roslin InstituteUniversity of EdinburghEdinburghUK
| | - Franck Augé
- Sanofi R&DTranslational SciencesChilly‐MazarinFrance
| | | | - Jan Hasenauer
- Helmholtz Zentrum München – German Research Center for Environmental HealthInstitute of Computational BiologyNeuherbergGermany
- Interdisciplinary Research Unit Mathematics and Life SciencesUniversity of BonnBonnGermany
| | - Olaf Wolkenhauer
- Department of Systems Biology and BioinformaticsUniversity of RostockRostockGermany
| | - Egon L Wilighagen
- Department of Bioinformatics ‐ BiGCaTNUTRIMMaastricht UniversityMaastrichtThe Netherlands
| | - Alexander R Pico
- Institute of Data Science and BiotechnologyGladstone InstitutesSan FranciscoCAUSA
| | - Chris T Evelo
- Department of Bioinformatics ‐ BiGCaTNUTRIMMaastricht UniversityMaastrichtThe Netherlands
- Maastricht Centre for Systems Biology (MaCSBio)Maastricht UniversityMaastrichtThe Netherlands
| | - Marc E Gillespie
- MaRS CentreOntario Institute for Cancer ResearchTorontoONCanada
- St. John’s University College of Pharmacy and Health SciencesQueensNYUSA
| | - Lincoln D Stein
- MaRS CentreOntario Institute for Cancer ResearchTorontoONCanada
- Department of Molecular GeneticsUniversity of TorontoTorontoONCanada
| | - Henning Hermjakob
- European Bioinformatics Institute (EMBL‐EBI)European Molecular Biology LaboratoryHinxton, CambridgeshireUK
| | | | | | - Joaquin Dopazo
- Clinical Bioinformatics AreaFundación Progreso y Salud (FPS)Hospital Virgen del RocioSevillaSpain
- Computational Systems Medicine GroupInstitute of Biomedicine of Seville (IBIS)Hospital Virgen del RocioSevillaSpain
- Bioinformatics in Rare Diseases (BiER)Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER)FPS, Hospital Virgen del RocíoSevillaSpain
- FPS/ELIXIR‐esHospital Virgen del RocíoSevillaSpain
| | - Alfonso Valencia
- Barcelona Supercomputing Center (BSC)BarcelonaSpain
- Institució Catalana de Recerca i Estudis Avançats (ICREA)BarcelonaSpain
| | - Hiroaki Kitano
- Systems Biology InstituteTokyoJapan
- Okinawa Institute of Science and Technology Graduate SchoolOkinawaJapan
| | - Emmanuel Barillot
- Institut CuriePSL Research UniversityParisFrance
- INSERMParisFrance
- MINES ParisTechPSL Research UniversityParisFrance
| | - Charles Auffray
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUK
| | - Rudi Balling
- Luxembourg Centre for Systems BiomedicineUniversity of LuxembourgEsch‐sur‐AlzetteLuxembourg
| | - Reinhard Schneider
- Luxembourg Centre for Systems BiomedicineUniversity of LuxembourgEsch‐sur‐AlzetteLuxembourg
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11
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Priesemann V, Balling R, Bauer S, Beutels P, Valdez AC, Cuschieri S, Czypionka T, Dumpis U, Glaab E, Grill E, Hotulainen P, Iftekhar EN, Krutzinna J, Lionis C, Machado H, Martins C, McKee M, Pavlakis GN, Perc M, Petelos E, Pickersgill M, Prainsack B, Rocklöv J, Schernhammer E, Szczurek E, Tsiodras S, Van Gucht S, Willeit P. Towards a European strategy to address the COVID-19 pandemic. Lancet 2021; 398:838-839. [PMID: 34384539 PMCID: PMC8352491 DOI: 10.1016/s0140-6736(21)01808-0] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 08/03/2021] [Indexed: 12/12/2022]
Affiliation(s)
- Viola Priesemann
- Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.
| | - Rudi Balling
- University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Simon Bauer
- Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany
| | - Philippe Beutels
- Vaccine & Infectious Disease Institute, University of Antwerp, Belgium
| | | | - Sarah Cuschieri
- Faculty of Medicine and Surgery, University of Malta, Msida, Malta
| | | | - Uga Dumpis
- Pauls Stradins Clinical University Hospital, University of Latvia, Riga, Latvia
| | - Enrico Glaab
- University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Eva Grill
- Ludwig-Maximilians University, Munich, Germany
| | - Pirta Hotulainen
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Emil N Iftekhar
- Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany
| | | | - Christos Lionis
- Clinic of Social and Family Medicine, Faculty of Medicine, University of Crete, Crete, Greece; Institute of Health and Medicine, University of Linköping, Linköping, Sweden
| | | | - Carlos Martins
- Department of Community Medicine, Health Information and Decision Sciences of the Faculty of Medicine of the University of Porto, Porto, Portugal
| | - Martin McKee
- London School of Hygiene & Tropical Medicine, London, UK
| | | | - Matjaž Perc
- University of Maribor, Maribor, Slovenia; Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
| | - Elena Petelos
- Clinic of Social and Family Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece; Faculty of Health, Medicine and Life Sciences, Maastricht University Maastricht, Maastricht, Netherlands
| | | | | | - Joacim Rocklöv
- Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden
| | | | | | - Sotirios Tsiodras
- National and Kapodistrian University of Athens Medical School, Athens, Greece
| | | | - Peter Willeit
- Medical University of Innsbruck, Innsbruck, Austria; University of Cambridge, Cambridge, UK
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12
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Iftekhar EN, Priesemann V, Balling R, Bauer S, Beutels P, Calero Valdez A, Cuschieri S, Czypionka T, Dumpis U, Glaab E, Grill E, Hanson C, Hotulainen P, Klimek P, Kretzschmar M, Krüger T, Krutzinna J, Low N, Machado H, Martins C, McKee M, Mohr SB, Nassehi A, Perc M, Petelos E, Pickersgill M, Prainsack B, Rocklöv J, Schernhammer E, Staines A, Szczurek E, Tsiodras S, Van Gucht S, Willeit P. A look into the future of the COVID-19 pandemic in Europe: an expert consultation. Lancet Reg Health Eur 2021; 8:100185. [PMID: 34345876 PMCID: PMC8321710 DOI: 10.1016/j.lanepe.2021.100185] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
How will the coronavirus disease 2019 (COVID-19) pandemic develop in the coming months and years? Based on an expert survey, we examine key aspects that are likely to influence the COVID-19 pandemic in Europe. The challenges and developments will strongly depend on the progress of national and global vaccination programs, the emergence and spread of variants of concern (VOCs), and public responses to non-pharmaceutical interventions (NPIs). In the short term, many people remain unvaccinated, VOCs continue to emerge and spread, and mobility and population mixing are expected to increase. Therefore, lifting restrictions too much and too early risk another damaging wave. This challenge remains despite the reduced opportunities for transmission given vaccination progress and reduced indoor mixing in summer 2021. In autumn 2021, increased indoor activity might accelerate the spread again, whilst a necessary reintroduction of NPIs might be too slow. The incidence may strongly rise again, possibly filling intensive care units, if vaccination levels are not high enough. A moderate, adaptive level of NPIs will thus remain necessary. These epidemiological aspects combined with economic, social, and health-related consequences provide a more holistic perspective on the future of the COVID-19 pandemic.
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Affiliation(s)
| | - Viola Priesemann
- Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany
| | - Rudi Balling
- University of Luxembourg, Luxembourg, Luxembourg
| | - Simon Bauer
- Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany
| | | | | | | | - Thomas Czypionka
- Institute for Advanced Studies, Vienna, Austria, and London School of Economics, London, UK
| | - Uga Dumpis
- Pauls Stradins Clinical University Hospital, University of Latvia, Riga, Latvia
| | - Enrico Glaab
- University of Luxembourg, Luxembourg, Luxembourg
| | - Eva Grill
- Ludwig-Maximilians-University München, München, Germany
| | - Claudia Hanson
- Karolinska Institute, Stockholm, Sweden, and London School of Hygiene & Tropical Medicine, London, UK
| | - Pirta Hotulainen
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Peter Klimek
- Medical University of Vienna, Vienna, Austria, and Complexity Science Hub Vienna, Vienna, Austria
| | | | - Tyll Krüger
- Wroclaw University of Science and Technology, Wroclaw, Poland
| | | | | | - Helena Machado
- Institute for Social Sciences, University of Minho, Braga, Portugal
| | - Carlos Martins
- Department of Community Medicine, Health Information and Decision Sciences of the Faculty of Medicine, University of Porto, Porto, Portugal
| | - Martin McKee
- London School of Hygiene & Tropical Medicine, London, UK
| | | | - Armin Nassehi
- Ludwig-Maximilians-University München, München, Germany
| | - Matjaž Perc
- University of Maribor, Maribor, Slovenia, and Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
| | - Elena Petelos
- University of Crete, Crete, Greece, and Maastricht University, Maastricht, The Netherlands
| | | | - Barbara Prainsack
- Department of Political Science, University of Vienna, Vienna, Austria
| | - Joacim Rocklöv
- Department of Public Health and Clinical Medicine, Section of Sustainable Health, Umeå University, Umeå, Sweden
| | | | | | | | | | | | - Peter Willeit
- Medical University of Innsbruck, Innsbruck, Austria, and University of Cambridge, Cambridge, UK
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13
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Thomas MH, Gui Y, Garcia P, Karout M, Gomez Ramos B, Jaeger C, Michelucci A, Gaigneaux A, Kollmus H, Centeno A, Schughart K, Balling R, Mittelbronn M, Nadeau JH, Sauter T, Williams RW, Sinkkonen L, Buttini M. Quantitative trait locus mapping identifies a locus linked to striatal dopamine and points to collagen IV alpha-6 chain as a novel regulator of striatal axonal branching in mice. Genes Brain Behav 2021; 20:e12769. [PMID: 34453370 DOI: 10.1111/gbb.12769] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 08/09/2021] [Accepted: 08/25/2021] [Indexed: 11/30/2022]
Abstract
Dopaminergic neurons (DA neurons) are controlled by multiple factors, many involved in neurological disease. Parkinson's disease motor symptoms are caused by the demise of nigral DA neurons, leading to loss of striatal dopamine (DA). Here, we measured DA concentration in the dorsal striatum of 32 members of Collaborative Cross (CC) family and their eight founder strains. Striatal DA varied greatly in founders, and differences were highly heritable in the inbred CC progeny. We identified a locus, containing 164 genes, linked to DA concentration in the dorsal striatum on chromosome X. We used RNAseq profiling of the ventral midbrain of two founders with substantial difference in striatal DA-C56BL/6 J and A/J-to highlight potential protein-coding candidates modulating this trait. Among the five differentially expressed genes within the locus, we found that the gene coding for the collagen IV alpha 6 chain (Col4a6) was expressed nine times less in A/J than in C57BL/6J. Using single cell RNA-seq data from developing human midbrain, we found that COL4A6 is highly expressed in radial glia-like cells and neuronal progenitors, indicating a role in neuronal development. Collagen IV alpha-6 chain (COL4A6) controls axogenesis in simple model organisms. Consistent with these findings, A/J mice had less striatal axonal branching than C57BL/6J mice. We tentatively conclude that DA concentration and axonal branching in dorsal striatum are modulated by COL4A6, possibly during development. Our study shows that genetic mapping based on an easily measured Central Nervous System (CNS) trait, using the CC population, combined with follow-up observations, can parse heritability of such a trait, and nominate novel functions for commonly expressed proteins.
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Affiliation(s)
- Mélanie H Thomas
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch/Alzette, Luxembourg.,Luxembourg Centre of Neuropathology (LCNP), Luxembourg
| | - Yujuan Gui
- Department of Life Sciences and Medicine (DLSM), University of Luxembourg, Belvaux, Luxembourg
| | - Pierre Garcia
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch/Alzette, Luxembourg.,Luxembourg Centre of Neuropathology (LCNP), Luxembourg.,National Center of Pathology (NCP), Laboratoire National de Santé (LNS), Dudelange, Luxembourg
| | - Mona Karout
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch/Alzette, Luxembourg
| | - Borja Gomez Ramos
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch/Alzette, Luxembourg.,Department of Life Sciences and Medicine (DLSM), University of Luxembourg, Belvaux, Luxembourg
| | - Christian Jaeger
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch/Alzette, Luxembourg
| | - Alessandro Michelucci
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch/Alzette, Luxembourg.,Neuro-Immunology Group, Department of Oncology (DONC), Luxembourg Institute of Health (LIH), Luxembourg, Luxembourg
| | - Anthoula Gaigneaux
- Department of Life Sciences and Medicine (DLSM), University of Luxembourg, Belvaux, Luxembourg
| | - Heike Kollmus
- Department of Infection Genetics, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Arthur Centeno
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Klaus Schughart
- Department of Infection Genetics, Helmholtz Centre for Infection Research, Braunschweig, Germany.,University of Veterinary Medicine Hannover, Hannover, Germany.,Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch/Alzette, Luxembourg
| | - Michel Mittelbronn
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch/Alzette, Luxembourg.,Luxembourg Centre of Neuropathology (LCNP), Luxembourg.,Department of Life Sciences and Medicine (DLSM), University of Luxembourg, Belvaux, Luxembourg.,National Center of Pathology (NCP), Laboratoire National de Santé (LNS), Dudelange, Luxembourg.,Neuro-Immunology Group, Department of Oncology (DONC), Luxembourg Institute of Health (LIH), Luxembourg, Luxembourg
| | - Joseph H Nadeau
- Pacific Northwest Research Institute, Seattle, Washington, USA.,Maine Medical Center Research Institute, Scarborough, Maine, USA
| | - Thomas Sauter
- Department of Life Sciences and Medicine (DLSM), University of Luxembourg, Belvaux, Luxembourg
| | - Robert W Williams
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Lasse Sinkkonen
- Department of Life Sciences and Medicine (DLSM), University of Luxembourg, Belvaux, Luxembourg
| | - Manuel Buttini
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch/Alzette, Luxembourg.,Luxembourg Centre of Neuropathology (LCNP), Luxembourg
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14
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Capelle CM, Ciré S, Ammerlaan W, Konstantinou M, Balling R, Betsou F, Cosma A, Ollert M, Hefeng FQ. Standard Peripheral Blood Mononuclear Cell Cryopreservation Selectively Decreases Detection of Nine Clinically Relevant T Cell Markers. Immunohorizons 2021; 5:711-720. [PMID: 34433626 DOI: 10.4049/immunohorizons.2100049] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 07/30/2021] [Indexed: 11/19/2022] Open
Abstract
Biobanking is an operational component of various epidemiological studies and clinical trials. Although peripheral blood is routinely acquired and stored in biobanks, the effects of specimen processing on cell composition and clinically relevant functional markers of T cells still require a systematic evaluation. In this study, we assessed 25 relevant T cell markers in human PBMCs and showed that the detection of nine membrane markers (e.g., PD-1, CTLA4, KLRG1, CD25, CD122, CD127, CCR7, and others reflecting exhaustion, senescence, and other functions) was reduced among at least one T cell subset following standard processing, although the frequency of CD4, CD8, and regulatory T cells was unaffected. Nevertheless, a 6-mo-long cryopreservation did not impair the percentages of cells expressing many other membrane and all the eight tested intracellular lineage or functional T cell markers. Our findings uncover that several clinically relevant markers are particularly affected by processing and the interpretation of those results in clinical trials and translational research should be done with caution.
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Affiliation(s)
- Christophe M Capelle
- Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg.,Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Séverine Ciré
- Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg
| | - Wim Ammerlaan
- Integrated BioBank of Luxembourg, Dudelange, Luxembourg
| | - Maria Konstantinou
- Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg.,Quantitative Biology Unit, National Cytometry Platform, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine, Belval Campus, University of Luxembourg, Belvaux, Luxembourg
| | - Fay Betsou
- Integrated BioBank of Luxembourg, Dudelange, Luxembourg.,Laboratoire National de Santé, Dudelange, Luxembourg
| | - Antonio Cosma
- Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg.,Quantitative Biology Unit, National Cytometry Platform, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg
| | - Markus Ollert
- Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg.,Department of Dermatology and Allergy Center, Odense Research Center for Anaphylaxis, University of Southern Denmark, Odense, Denmark; and
| | - Feng Q Hefeng
- Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg; .,Institute of Medical Microbiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
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15
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Balling R. Henning M. Beier (1940-2021): from discovering uteroglobin to shaping reproductive medicine in Germany. Reprod Biomed Online 2021; 43:S1472-6483(21)00273-X. [PMID: 34193355 DOI: 10.1016/j.rbmo.2021.05.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Rudi Balling
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg.
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16
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Capelle CM, Zeng N, Danileviciute E, Rodrigues SF, Ollert M, Balling R, He FQ. Identification of VIMP as a gene inhibiting cytokine production in human CD4+ effector T cells. iScience 2021; 24:102289. [PMID: 33851102 PMCID: PMC8024663 DOI: 10.1016/j.isci.2021.102289] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [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: 07/24/2020] [Revised: 02/08/2021] [Accepted: 03/05/2021] [Indexed: 12/14/2022] Open
Abstract
Many players regulating the CD4+ T cell-mediated inflammatory response have already been identified. However, the critical nodes that constitute the regulatory and signaling networks underlying CD4 T cell responses are still missing. Using a correlation-network-guided approach, here we identified VIMP (VCP-interacting membrane protein), one of the 25 genes encoding selenoproteins in humans, as a gene regulating the effector functions of human CD4 T cells, especially production of several cytokines including IL2 and CSF2. We identified VIMP as an endogenous inhibitor of cytokine production in CD4 effector T cells via both the E2F5 transcription regulatory pathway and the Ca2+/NFATC2 signaling pathway. Our work not only indicates that VIMP might be a promising therapeutic target for various inflammation-associated diseases but also shows that our network-guided approach can significantly aid in predicting new functions of the genes of interest.
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Affiliation(s)
- Christophe M. Capelle
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29, rue Henri Koch, 4354 Esch-sur-Alzette, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, 2, avenue de Université, 4365 Esch-sur-Alzette, Luxembourg
| | - Ni Zeng
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29, rue Henri Koch, 4354 Esch-sur-Alzette, Luxembourg
| | - Egle Danileviciute
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29, rue Henri Koch, 4354 Esch-sur-Alzette, Luxembourg
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6, avenue du Swing, 4367 Belvaux, Luxembourg
| | - Sabrina Freitas Rodrigues
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6, avenue du Swing, 4367 Belvaux, Luxembourg
| | - Markus Ollert
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29, rue Henri Koch, 4354 Esch-sur-Alzette, Luxembourg
- Department of Dermatology and Allergy Center, Odense Research Center for Anaphylaxis (ORCA), University of Southern Denmark, Odense, 5000 C, Denmark
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6, avenue du Swing, 4367 Belvaux, Luxembourg
| | - Feng Q. He
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29, rue Henri Koch, 4354 Esch-sur-Alzette, Luxembourg
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6, avenue du Swing, 4367 Belvaux, Luxembourg
- Institute of Medical Microbiology, University Hospital Essen, University of Duisburg-Essen, 45122 Essen, Germany
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17
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Priesemann V, Balling R, Brinkmann MM, Ciesek S, Czypionka T, Eckerle I, Giordano G, Hanson C, Hel Z, Hotulainen P, Klimek P, Nassehi A, Peichl A, Perc M, Petelos E, Prainsack B, Szczurek E. An action plan for pan-European defence against new SARS-CoV-2 variants. Lancet 2021; 397:469-470. [PMID: 33485462 PMCID: PMC7825950 DOI: 10.1016/s0140-6736(21)00150-1] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 01/19/2021] [Indexed: 12/14/2022]
Affiliation(s)
- Viola Priesemann
- Max-Planck-Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany.
| | - Rudi Balling
- University of Luxembourg, Luxembourg, Luxembourg
| | - Melanie M Brinkmann
- Technische Universität Braunschweig, Helmholtz Zentrum für Infektionsforschung, Braunschweig, Germany
| | - Sandra Ciesek
- University Hospital, Goethe-University Frankfurt, Frankfurt, Germany
| | - Thomas Czypionka
- Institute for Advanced Studies, Vienna, Austria; London School of Economics and Political Science, London, UK
| | | | | | - Claudia Hanson
- London School of Hygiene & Tropical Medicine, London, UK; Karolinska Institute, Stockholm, Sweden
| | - Zdenek Hel
- University of Alabama at Birmingham, Birmingham, AL, USA
| | - Pirta Hotulainen
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Peter Klimek
- Medical University of Vienna, Vienna, Austria; Complexity Science Hub Vienna, Vienna, Austria
| | - Armin Nassehi
- Ludwig-Maximilian-Universität München, Munich, Germany
| | - Andreas Peichl
- ifo Institute, Leibniz Institute for Economic Research, University of Munich, Munich, Germany
| | - Matjaz Perc
- University of Maribor, Maribor, Slovenia; Alma Mater Europaea, Maribor, Slovenia
| | | | - Barbara Prainsack
- Department of Political Science, University of Vienna, Vienna, Austria
| | - Ewa Szczurek
- Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, Poland
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18
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Fehlmann T, Kahraman M, Ludwig N, Backes C, Galata V, Keller V, Geffers L, Mercaldo N, Hornung D, Weis T, Kayvanpour E, Abu-Halima M, Deuschle C, Schulte C, Suenkel U, von Thaler AK, Maetzler W, Herr C, Fähndrich S, Vogelmeier C, Guimaraes P, Hecksteden A, Meyer T, Metzger F, Diener C, Deutscher S, Abdul-Khaliq H, Stehle I, Haeusler S, Meiser A, Groesdonk HV, Volk T, Lenhof HP, Katus H, Balling R, Meder B, Kruger R, Huwer H, Bals R, Meese E, Keller A. Evaluating the Use of Circulating MicroRNA Profiles for Lung Cancer Detection in Symptomatic Patients. JAMA Oncol 2021; 6:714-723. [PMID: 32134442 DOI: 10.1001/jamaoncol.2020.0001] [Citation(s) in RCA: 70] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Importance The overall low survival rate of patients with lung cancer calls for improved detection tools to enable better treatment options and improved patient outcomes. Multivariable molecular signatures, such as blood-borne microRNA (miRNA) signatures, may have high rates of sensitivity and specificity but require additional studies with large cohorts and standardized measurements to confirm the generalizability of miRNA signatures. Objective To investigate the use of blood-borne miRNAs as potential circulating markers for detecting lung cancer in an extended cohort of symptomatic patients and control participants. Design, Setting, and Participants This multicenter, cohort study included patients from case-control and cohort studies (TREND and COSYCONET) with 3102 patients being enrolled by convenience sampling between March 3, 2009, and March 19, 2018. For the cohort study TREND, population sampling was performed. Clinical diagnoses were obtained for 3046 patients (606 patients with non-small cell and small cell lung cancer, 593 patients with nontumor lung diseases, 883 patients with diseases not affecting the lung, and 964 unaffected control participants). No samples were removed because of experimental issues. The collected data were analyzed between April 2018 and November 2019. Main Outcomes and Measures Sensitivity and specificity of liquid biopsy using miRNA signatures for detection of lung cancer. Results A total of 3102 patients with a mean (SD) age of 61.1 (16.2) years were enrolled. Data on the sex of the participants were available for 2856 participants; 1727 (60.5%) were men. Genome-wide miRNA profiles of blood samples from 3046 individuals were evaluated by machine-learning methods. Three classification scenarios were investigated by splitting the samples equally into training and validation sets. First, a 15-miRNA signature from the training set was used to distinguish patients diagnosed with lung cancer from all other individuals in the validation set with an accuracy of 91.4% (95% CI, 91.0%-91.9%), a sensitivity of 82.8% (95% CI, 81.5%-84.1%), and a specificity of 93.5% (95% CI, 93.2%-93.8%). Second, a 14-miRNA signature from the training set was used to distinguish patients with lung cancer from patients with nontumor lung diseases in the validation set with an accuracy of 92.5% (95% CI, 92.1%-92.9%), sensitivity of 96.4% (95% CI, 95.9%-96.9%), and specificity of 88.6% (95% CI, 88.1%-89.2%). Third, a 14-miRNA signature from the training set was used to distinguish patients with early-stage lung cancer from all individuals without lung cancer in the validation set with an accuracy of 95.9% (95% CI, 95.7%-96.2%), sensitivity of 76.3% (95% CI, 74.5%-78.0%), and specificity of 97.5% (95% CI, 97.2%-97.7%). Conclusions and Relevance The findings of the study suggest that the identified patterns of miRNAs may be used as a component of a minimally invasive lung cancer test, complementing imaging, sputum cytology, and biopsy tests.
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Affiliation(s)
- Tobias Fehlmann
- Chair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany
| | - Mustafa Kahraman
- Chair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany
| | - Nicole Ludwig
- Junior Research Group of Human Genetics, Saarland University, Homburg, Germany
| | - Christina Backes
- Chair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany
| | - Valentina Galata
- Chair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany
| | - Verena Keller
- Department of Medicine II, Saarland University Medical Center, Homburg, Germany
| | - Lars Geffers
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Nathaniel Mercaldo
- Institute for Technology Assessment, Massachusetts General Hospital, Boston
| | | | - Tanja Weis
- Department of Internal Medicine, Heidelberg University, Heidelberg, Germany
| | - Elham Kayvanpour
- Department of Internal Medicine, Heidelberg University, Heidelberg, Germany
| | | | - Christian Deuschle
- Hertie Institute for Clinical Brain Research, Center of Neurology, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany.,German Center for Neurodegenerative Diseases, Tübingen, Germany
| | - Claudia Schulte
- Hertie Institute for Clinical Brain Research, Center of Neurology, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany.,German Center for Neurodegenerative Diseases, Tübingen, Germany
| | - Ulrike Suenkel
- Hertie Institute for Clinical Brain Research, Center of Neurology, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany.,German Center for Neurodegenerative Diseases, Tübingen, Germany
| | - Anna-Katharina von Thaler
- Hertie Institute for Clinical Brain Research, Center of Neurology, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany.,German Center for Neurodegenerative Diseases, Tübingen, Germany
| | - Walter Maetzler
- Department of Neurology, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
| | - Christian Herr
- Department of Internal Medicine V: Pulmonology, Allergology, Intensive Care Medicine, Saarland University Medical Center, Saarland University, Homburg, Germany
| | - Sebastian Fähndrich
- Department of Internal Medicine V: Pulmonology, Allergology, Intensive Care Medicine, Saarland University Medical Center, Saarland University, Homburg, Germany
| | - Claus Vogelmeier
- Department of Medicine, Pulmonary and Critical Care Medicine, Philipps-University of Marberg, Member of the German Centre for Lung Research (DZL), Marburg, Germany
| | - Pedro Guimaraes
- Chair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany
| | - Anne Hecksteden
- Institute of Sports and Preventive Medicine, Saarland University, Saarbrücken, Germany
| | - Tim Meyer
- Institute of Sports and Preventive Medicine, Saarland University, Saarbrücken, Germany
| | - Florian Metzger
- Department of Psychiatry and Psychotherapy, University Hospital Tübingen, Tübingen, Germany.,Center for Geriatric Medicine, University Hospital Tübingen, Tübingen, Germany
| | - Caroline Diener
- Institute of Human Genetics, Saarland University, Homburg, Germany
| | | | - Hashim Abdul-Khaliq
- Department of Pediatric Cardiology, Saarland University, Saarbrücken, Germany
| | - Ingo Stehle
- Schwerpunktpraxis Hämatologie und Onkologie, Kaiserslautern, Germany
| | - Sebastian Haeusler
- Department of Gynecology, University Hospital Würzburg, Würzburg, Germany
| | - Andreas Meiser
- Department of Anaesthesiology, Intensive Care and Pain Therapy, Saarland University Medical Center and Faculty of Medicine, Saarland University, Homburg, Germany
| | - Heinrich V Groesdonk
- Department of Anaesthesiology, Intensive Care and Pain Therapy, Saarland University Medical Center and Faculty of Medicine, Saarland University, Homburg, Germany
| | - Thomas Volk
- Department of Anaesthesiology, Intensive Care and Pain Therapy, Saarland University Medical Center and Faculty of Medicine, Saarland University, Homburg, Germany
| | - Hans-Peter Lenhof
- Center for Bioinformatics, Saarland University, Saarbrücken, Germany
| | - Hugo Katus
- Department of Internal Medicine, Heidelberg University, Heidelberg, Germany
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Benjamin Meder
- Department of Internal Medicine, Heidelberg University, Heidelberg, Germany
| | - Rejko Kruger
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.,Parkinson's Research Clinic, Centre Hospitalier de Luxembourg (CHL), Luxembourg
| | - Hanno Huwer
- Department of Cardiothoracic Surgery, Völklingen Heart Centre, Völklingen, Germany
| | - Robert Bals
- Department of Internal Medicine V: Pulmonology, Allergology, Intensive Care Medicine, Saarland University Medical Center, Saarland University, Homburg, Germany
| | - Eckart Meese
- Institute of Human Genetics, Saarland University, Homburg, Germany
| | - Andreas Keller
- Chair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.,Center for Bioinformatics, Saarland University, Saarbrücken, Germany.,Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California
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19
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Mazein A, Ivanova O, Balaur I, Ostaszewski M, Berzhitskaya V, Serebriyskaya T, Ligon T, Hasenauer J, De Meulder B, Overall RW, Roy L, Knowles RG, Wheelock CE, Dahlen SE, Chung KF, Adcock IM, Roberts G, Djukanovic R, Pellet J, Gawron P, Balling R, Maitland-van der Zee AH, Schneider R, Sterk PJ, Auffray C. AsthmaMap: An interactive knowledge repository for mechanisms of asthma. J Allergy Clin Immunol 2020; 147:853-856. [PMID: 33309742 DOI: 10.1016/j.jaci.2020.11.032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 10/17/2020] [Accepted: 11/10/2020] [Indexed: 10/22/2022]
Affiliation(s)
- Alexander Mazein
- European Institute for Systems Biology and Medicine, Université de Lyon, Lyon, France; Institute of Cell Biophysics, Russian Academy of Sciences, Pushchino, Moscow, Russia; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.
| | - Olga Ivanova
- European Institute for Systems Biology and Medicine, Université de Lyon, Lyon, France; Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Respiratory Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Irina Balaur
- European Institute for Systems Biology and Medicine, Université de Lyon, Lyon, France
| | - Marek Ostaszewski
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | | | | | - Thomas Ligon
- Faculty of Physics and Center for NanoScience (CeNS), Ludwig-Maximilians-Universität, Munich, Germany
| | - Jan Hasenauer
- Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany; Faculty of Mathematics and Natural Sciences, University of Bonn, Endenicher, Bonn, Germany
| | - Bertrand De Meulder
- European Institute for Systems Biology and Medicine, Université de Lyon, Lyon, France
| | - Rupert W Overall
- Center for Regenerative Therapies Dresden (CRTD), Technische Universität Dresden, Dresden, Germany; German Center for Neurodegenerative Diseases (DZNE) Dresden, Dresden, Germany
| | - Ludovic Roy
- European Institute for Systems Biology and Medicine, Université de Lyon, Lyon, France
| | - Richard G Knowles
- Knowles Consulting, Stevenage Bioscience Catalyst, Stevenage, United Kingdom
| | - Craig E Wheelock
- Division of Physiological Chemistry 2, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Stockholm, Sweden
| | - Sven-Erik Dahlen
- Unit for Experimental Asthma and Allergy Research, Institute of Environmental Medicine (IMM), Karolinska Institutet, Solna, Sweden
| | - Kian Fan Chung
- National Heart & Lung Institute, Imperial College London, London, United Kingdom
| | - Ian M Adcock
- National Heart & Lung Institute, Imperial College London, London, United Kingdom
| | - Graham Roberts
- Clinical and Experimental Sciences and Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom; NIHR Southampton Biomedical Research Centre, Southampton, United Kingdom
| | - Ratko Djukanovic
- Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, University of Southampton, Southampton, United Kingdom; NIHR Southampton Respiratory Biomedical Research Unit, Southampton University Hospital, Southampton, United Kingdom
| | - Johann Pellet
- European Institute for Systems Biology and Medicine, Université de Lyon, Lyon, France
| | - Piotr Gawron
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Anke H Maitland-van der Zee
- Respiratory Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Reinhard Schneider
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Peter J Sterk
- Respiratory Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | - Charles Auffray
- European Institute for Systems Biology and Medicine, Université de Lyon, Lyon, France
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20
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Fehlmann T, Lehallier B, Schaum N, Hahn O, Kahraman M, Li Y, Grammes N, Geffers L, Backes C, Balling R, Kern F, Krüger R, Lammert F, Ludwig N, Meder B, Fromm B, Maetzler W, Berg D, Brockmann K, Deuschle C, von Thaler AK, Eschweiler GW, Milman S, Barziliai N, Reichert M, Wyss-Coray T, Meese E, Keller A. Common diseases alter the physiological age-related blood microRNA profile. Nat Commun 2020; 11:5958. [PMID: 33235214 PMCID: PMC7686493 DOI: 10.1038/s41467-020-19665-1] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 10/16/2020] [Indexed: 02/07/2023] Open
Abstract
Aging is a key risk factor for chronic diseases of the elderly. MicroRNAs regulate post-transcriptional gene silencing through base-pair binding on their target mRNAs. We identified nonlinear changes in age-related microRNAs by analyzing whole blood from 1334 healthy individuals. We observed a larger influence of the age as compared to the sex and provide evidence for a shift to the 5' mature form of miRNAs in healthy aging. The addition of 3059 diseased patients uncovered pan-disease and disease-specific alterations in aging profiles. Disease biomarker sets for all diseases were different between young and old patients. Computational deconvolution of whole-blood miRNAs into blood cell types suggests that cell intrinsic gene expression changes may impart greater significance than cell abundance changes to the whole blood miRNA profile. Altogether, these data provide a foundation for understanding the relationship between healthy aging and disease, and for the development of age-specific disease biomarkers.
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Affiliation(s)
- Tobias Fehlmann
- Chair for Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany
| | - Benoit Lehallier
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Nicholas Schaum
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Oliver Hahn
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Mustafa Kahraman
- Chair for Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany
| | - Yongping Li
- Chair for Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany
| | - Nadja Grammes
- Chair for Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany
| | - Lars Geffers
- Luxembourg Center for Systems Biomedicine, 4362, Esch-sur-Alzette, Luxemburg
| | - Christina Backes
- Chair for Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany
| | - Rudi Balling
- Luxembourg Center for Systems Biomedicine, 4362, Esch-sur-Alzette, Luxemburg
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), 1445, Strassen, Luxemburg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg, 1210, Luxembourg, Luxemburg
| | - Fabian Kern
- Chair for Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany
| | - Rejko Krüger
- Luxembourg Center for Systems Biomedicine, 4362, Esch-sur-Alzette, Luxemburg
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), 1445, Strassen, Luxemburg
- Parkinson Research Clinic, Centre Hospitalier de Luxembourg, 1210, Luxembourg, Luxemburg
| | - Frank Lammert
- Internal Medicine, Saarland University, 66421, Homburg, Germany
| | - Nicole Ludwig
- Human Genetics, Saarland University, 66421, Homburg, Germany
| | - Benjamin Meder
- Internal Medicine, University Hospital Heidelberg, 69120, Heidelberg, Germany
| | - Bastian Fromm
- Department of Molecular Biosciences, Stockholm University, 11418, Stockholm, Sweden
| | - Walter Maetzler
- Department of Neurology, Christian-Albrechts-Universität zu Kiel, 24105, Kiel, Germany
| | - Daniela Berg
- Department of Neurology, Christian-Albrechts-Universität zu Kiel, 24105, Kiel, Germany
| | | | | | | | - Gerhard W Eschweiler
- Geriatric Center and the Department of Psychiatry and Psychotherapy, University Hospital Tübingen, 72076, Tübingen, Germany
| | - Sofiya Milman
- The Institute for Aging Research, Albert Einstein College of Medicine, New York, NY, 10461, USA
| | - Nir Barziliai
- The Institute for Aging Research, Albert Einstein College of Medicine, New York, NY, 10461, USA
| | | | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Eckart Meese
- Human Genetics, Saarland University, 66421, Homburg, Germany
| | - Andreas Keller
- Chair for Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany.
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA.
- Center for Bioinformatics, Saarland Informatics Campus, Saarland University, 66123, Saarbrücken, Germany.
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21
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N Kolodkin A, Sharma RP, Colangelo AM, Ignatenko A, Martorana F, Jennen D, Briedé JJ, Brady N, Barberis M, Mondeel TDGA, Papa M, Kumar V, Peters B, Skupin A, Alberghina L, Balling R, Westerhoff HV. ROS networks: designs, aging, Parkinson's disease and precision therapies. NPJ Syst Biol Appl 2020; 6:34. [PMID: 33106503 PMCID: PMC7589522 DOI: 10.1038/s41540-020-00150-w] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Accepted: 08/28/2020] [Indexed: 12/11/2022] Open
Abstract
How the network around ROS protects against oxidative stress and Parkinson's disease (PD), and how processes at the minutes timescale cause disease and aging after decades, remains enigmatic. Challenging whether the ROS network is as complex as it seems, we built a fairly comprehensive version thereof which we disentangled into a hierarchy of only five simpler subnetworks each delivering one type of robustness. The comprehensive dynamic model described in vitro data sets from two independent laboratories. Notwithstanding its five-fold robustness, it exhibited a relatively sudden breakdown, after some 80 years of virtually steady performance: it predicted aging. PD-related conditions such as lack of DJ-1 protein or increased α-synuclein accelerated the collapse, while antioxidants or caffeine retarded it. Introducing a new concept (aging-time-control coefficient), we found that as many as 25 out of 57 molecular processes controlled aging. We identified new targets for "life-extending interventions": mitochondrial synthesis, KEAP1 degradation, and p62 metabolism.
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Affiliation(s)
- Alexey N Kolodkin
- Infrastructure for Systems Biology Europe (ISBE.NL), Amsterdam, The Netherlands.
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
- Molecular Cell Physiology, VU University Amsterdam, Amsterdam, The Netherlands.
- Synthetic Systems Biology and Nuclear Organization, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands.
| | - Raju Prasad Sharma
- Molecular Cell Physiology, VU University Amsterdam, Amsterdam, The Netherlands
- Environmental Engineering Laboratory, Departament d'Enginyeria Quimica, Universitat Rovira i Virgili, Tarragona, Spain
| | - Anna Maria Colangelo
- Infrastructure for Systems Biology Europe (ISBE.IT), Milan, Italy
- SysBio Centre of Systems Biology (ISBE.IT), University of Milano-Bicocca, Milan, Italy
- Laboratory of Neuroscience "R Levi-Montalcini" Dept of Biotechnology and Biosciences, University of Milano-Bicocca, Milan, Italy
| | - Andrew Ignatenko
- Luxembourg Institute of Science and Technology (LIST), Esch-sur-Alzette, Luxembourg
| | - Francesca Martorana
- Infrastructure for Systems Biology Europe (ISBE.IT), Milan, Italy
- SysBio Centre of Systems Biology (ISBE.IT), University of Milano-Bicocca, Milan, Italy
- Laboratory of Neuroscience "R Levi-Montalcini" Dept of Biotechnology and Biosciences, University of Milano-Bicocca, Milan, Italy
| | - Danyel Jennen
- Department of Toxicogenomics, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Jacco J Briedé
- Department of Toxicogenomics, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Nathan Brady
- Department of Molecular Microbiology & Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Matteo Barberis
- Synthetic Systems Biology and Nuclear Organization, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands
- Systems Biology, School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Surrey, UK
- Centre for Mathematical and Computational Biology, CMCB, University of Surrey, Surrey, UK
| | - Thierry D G A Mondeel
- Synthetic Systems Biology and Nuclear Organization, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands
- Systems Biology, School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Surrey, UK
- Centre for Mathematical and Computational Biology, CMCB, University of Surrey, Surrey, UK
| | - Michele Papa
- SysBio Centre of Systems Biology (ISBE.IT), University of Milano-Bicocca, Milan, Italy
- Infrastructure for Systems Biology Europe (ISBE.IT), Naples, Italy
- Department of Mental and Physical Health, University of Campania-L. Vanvitelli, Napoli, Italia
| | - Vikas Kumar
- Environmental Engineering Laboratory, Departament d'Enginyeria Quimica, Universitat Rovira i Virgili, Tarragona, Spain
- IISPV, Hospital Universitari Sant Joan de Reus, Universitat Rovira I Virgili, Reus, Spain
| | - Bernhard Peters
- Faculty of Science, Technology and Communication, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Alexander Skupin
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Lilia Alberghina
- Infrastructure for Systems Biology Europe (ISBE.IT), Milan, Italy
- SysBio Centre of Systems Biology (ISBE.IT), University of Milano-Bicocca, Milan, Italy
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Hans V Westerhoff
- Infrastructure for Systems Biology Europe (ISBE.NL), Amsterdam, The Netherlands.
- Molecular Cell Physiology, VU University Amsterdam, Amsterdam, The Netherlands.
- Synthetic Systems Biology and Nuclear Organization, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands.
- Manchester Centre for Integrative Systems Biology, School for Chemical Engineering and Analytical Science, The University of Manchester, Manchester, UK.
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22
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Stover PJ, Balling R. Nutrition and the 2020 Pandemic. Annu Rev Nutr 2020; 40:v-vi. [DOI: 10.1146/annurev-nu-40-082120-100001] [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: 11/09/2022]
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23
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Gui Y, Thomas MH, Garcia P, Karout M, Halder R, Michelucci A, Kollmus H, Zhou C, Melmed S, Schughart K, Balling R, Mittelbronn M, Nadeau JH, Williams RW, Sauter T, Buttini M, Sinkkonen L. Pituitary Tumor Transforming Gene 1 Orchestrates Gene Regulatory Variation in Mouse Ventral Midbrain During Aging. Front Genet 2020; 11:566734. [PMID: 33173537 PMCID: PMC7538689 DOI: 10.3389/fgene.2020.566734] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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: 05/28/2020] [Accepted: 08/27/2020] [Indexed: 01/07/2023] Open
Abstract
Dopaminergic neurons in the midbrain are of particular interest due to their role in diseases such as Parkinson’s disease and schizophrenia. Genetic variation between individuals can affect the integrity and function of dopaminergic neurons but the DNA variants and molecular cascades modulating dopaminergic neurons and other cells types of ventral midbrain remain poorly defined. Three genetically diverse inbred mouse strains – C57BL/6J, A/J, and DBA/2J – differ significantly in their genomes (∼7 million variants), motor and cognitive behavior, and susceptibility to neurotoxins. To further dissect the underlying molecular networks responsible for these variable phenotypes, we generated RNA-seq and ChIP-seq data from ventral midbrains of the 3 mouse strains. We defined 1000–1200 transcripts that are differentially expressed among them. These widespread differences may be due to altered activity or expression of upstream transcription factors. Interestingly, transcription factors were significantly underrepresented among the differentially expressed genes, and only one transcription factor, Pttg1, showed significant differences between all three strains. The changes in Pttg1 expression were accompanied by consistent alterations in histone H3 lysine 4 trimethylation at Pttg1 transcription start site. The ventral midbrain transcriptome of 3-month-old C57BL/6J congenic Pttg1–/– mutants was only modestly altered, but shifted toward that of A/J and DBA/2J in 9-month-old mice. Principle component analysis (PCA) identified the genes underlying the transcriptome shift and deconvolution of these bulk RNA-seq changes using midbrain single cell RNA-seq data suggested that the changes were occurring in several different cell types, including neurons, oligodendrocytes, and astrocytes. Taken together, our results show that Pttg1 contributes to gene regulatory variation between mouse strains and influences mouse midbrain transcriptome during aging.
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Affiliation(s)
- Yujuan Gui
- Department of Life Sciences and Medicine, University of Luxembourg, Belvaux, Luxembourg
| | - Mélanie H Thomas
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Pierre Garcia
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.,National Center of Pathology, Laboratoire National de Santé, Dudelange, Luxembourg.,Luxembourg Centre of Neuropathology, Dudelange, Luxembourg
| | - Mona Karout
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Rashi Halder
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Alessandro Michelucci
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.,Department of Oncology, Luxembourg Institute of Health, Luxembourg City, Luxembourg
| | - Heike Kollmus
- Department of Infection Genetics, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Cuiqi Zhou
- Cedars Sinai Medical Centre, Los Angeles, CA, United States
| | - Shlomo Melmed
- Cedars Sinai Medical Centre, Los Angeles, CA, United States
| | - Klaus Schughart
- Department of Infection Genetics, Helmholtz Centre for Infection Research, Braunschweig, Germany.,Department of Infection Genetics, University of Veterinary Medicine Hannover, Hanover, Germany.,Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Michel Mittelbronn
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.,National Center of Pathology, Laboratoire National de Santé, Dudelange, Luxembourg.,Luxembourg Centre of Neuropathology, Dudelange, Luxembourg.,Department of Oncology, Luxembourg Institute of Health, Luxembourg City, Luxembourg
| | - Joseph H Nadeau
- Pacific Northwest Research Institute, Seattle, WA, United States.,Maine Medical Center Research Institute, Scarborough, ME, United States
| | - Robert W Williams
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Thomas Sauter
- Department of Life Sciences and Medicine, University of Luxembourg, Belvaux, Luxembourg
| | - Manuel Buttini
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Lasse Sinkkonen
- Department of Life Sciences and Medicine, University of Luxembourg, Belvaux, Luxembourg
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24
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Ostaszewski M, Mazein A, Gillespie ME, Kuperstein I, Niarakis A, Hermjakob H, Pico AR, Willighagen EL, Evelo CT, Hasenauer J, Schreiber F, Dräger A, Demir E, Wolkenhauer O, Furlong LI, Barillot E, Dopazo J, Orta-Resendiz A, Messina F, Valencia A, Funahashi A, Kitano H, Auffray C, Balling R, Schneider R. COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms. Sci Data 2020; 7:136. [PMID: 32371892 PMCID: PMC7200764 DOI: 10.1038/s41597-020-0477-8] [Citation(s) in RCA: 77] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Accepted: 04/24/2020] [Indexed: 11/20/2022] Open
Abstract
Researchers around the world join forces to reconstruct the molecular processes of the virus-host interactions aiming to combat the cause of the ongoing pandemic.
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Affiliation(s)
- Marek Ostaszewski
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Alexander Mazein
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
- European Institute for Systems Biology and Medicine (EISBM), Vourles, France
| | - Marc E Gillespie
- Ontario Institute for Cancer Research, Toronto, Canada
- College of Pharmacy and Health Sciences, St. John's University, Queens, NY, USA
| | - Inna Kuperstein
- Institut Curie, PSL Research University, Mines Paris Tech, Inserm, Paris, France
| | - Anna Niarakis
- Department of Biology, Univ. Évry, University of Paris-Saclay, Genopole, 91025, Évry, France
| | - Henning Hermjakob
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK
| | - Alexander R Pico
- Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, United States
| | - Egon L Willighagen
- Department of Bioinformatics-BiGCaT, NUTRIM, Maastricht University, Maastricht, The Netherlands
| | - Chris T Evelo
- Department of Bioinformatics-BiGCaT, NUTRIM, Maastricht University, Maastricht, The Netherlands
- Maastricht Centre for Systems Biology, Maastricht University, Maastricht, The Netherlands
| | - Jan Hasenauer
- Helmholtz Zentrum München, Institute of Computational Biology, Neuherberg, Germany
- Center for Mathematics, Technische Universität München, Garching, Germany
- Faculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany
| | - Falk Schreiber
- University of Konstanz, Department of Computer and Information Science, Konstanz, Germany
- Monash University, Faculty of Information Technology, Melbourne, Australia
| | - Andreas Dräger
- Computational Systems Biology of Infection and Antimicrobial-Resistant Pathogens, Institute for Bioinformatics and Medical Informatics (IBMI), University of Tübingen, 72076, Tübingen, Germany
- Department of Computer Science, University of Tübingen, 72076, Tübingen, Germany
- German Center for Infection Research (DZIF), partner site, Tübingen, Germany
| | - Emek Demir
- Department of Molecular and Medical Genetics, School of Medicine, Oregon Health & Science University, Portland, USA
| | - Olaf Wolkenhauer
- Department of Systems Biology & Bioinformatics, University of Rostock, Rostock, Germany
- Stellenbosch Institute of Advanced Study (STIAS), Wallenberg Research Centre at Stellenbosch University, 7602, Stellenbosch, South Africa
| | - Laura I Furlong
- Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute, Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain
| | - Emmanuel Barillot
- Institut Curie, PSL Research University, Mines Paris Tech, Inserm, Paris, France
| | - Joaquin Dopazo
- Clinical Bioinformatics Area, Fundación Progreso y Salud. Hosp. Virgen del Rocío, Sevilla, Spain
- Bioinformatics in Rare Diseases. Centro de Investigación Biomédica en Red de Enfermedades Raras, Fundación Progreso y Salud, Hosp. Virgen del Rocío, Sevilla, Spain
- INB-ELIXIR-es, FPS, Hospital Virgen del Rocío, Sevilla, 42013, Spain
- Institute of Biomedicine of Seville (IBIS), Hospital Virgen del Rocio, 41013, Sevilla, Spain
| | - Aurelio Orta-Resendiz
- HIV, Inflammation and Persistence Unit, Virology Department, Institut Pasteur, Paris, France
- Bio Sorbonne Paris Cité, Université de Paris, Paris, France
| | - Francesco Messina
- Dipartimento di Epidemiologia Ricerca Pre-Clinica e Diagnostica Avanzata, National Institute for Infectious Diseases "Lazzaro Spallanzani" I.R.C.C.S., Rome, Italy
- COVID 19 INMI Network Medicine for IDs Study Group, National Institute for Infectious Diseases "Lazzaro Spallanzani" I.R.C.C.S., Rome, Italy
| | - Alfonso Valencia
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
- Institucio Catalana de Recerca I Estudis Avançats (ICREA), Barcelona, Spain
| | - Akira Funahashi
- Department of Biosciences and Informatics, Keio University, Yokohama, Kanagawa, Japan
| | - Hiroaki Kitano
- The Systems Biology Institute, Shinagawa, Tokyo, Japan
- Okinawa Institute of Science and Technology Graduate University, Kunigami, Okinawa, Japan
- Sony Computer Science Laboratories, Inc., Tokyo, Japan
| | - Charles Auffray
- European Institute for Systems Biology and Medicine (EISBM), Vourles, France
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Reinhard Schneider
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.
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25
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Aarestrup FM, Albeyatti A, Armitage WJ, Auffray C, Augello L, Balling R, Benhabiles N, Bertolini G, Bjaalie JG, Black M, Blomberg N, Bogaert P, Bubak M, Claerhout B, Clarke L, De Meulder B, D'Errico G, Di Meglio A, Forgo N, Gans-Combe C, Gray AE, Gut I, Gyllenberg A, Hemmrich-Stanisak G, Hjorth L, Ioannidis Y, Jarmalaite S, Kel A, Kherif F, Korbel JO, Larue C, Laszlo M, Maas A, Magalhaes L, Manneh-Vangramberen I, Morley-Fletcher E, Ohmann C, Oksvold P, Oxtoby NP, Perseil I, Pezoulas V, Riess O, Riper H, Roca J, Rosenstiel P, Sabatier P, Sanz F, Tayeb M, Thomassen G, Van Bussel J, Van den Bulcke M, Van Oyen H. Towards a European health research and innovation cloud (HRIC). Genome Med 2020; 12:18. [PMID: 32075696 PMCID: PMC7029532 DOI: 10.1186/s13073-020-0713-z] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Accepted: 01/29/2020] [Indexed: 12/21/2022] Open
Abstract
The European Union (EU) initiative on the Digital Transformation of Health and Care (Digicare) aims to provide the conditions necessary for building a secure, flexible, and decentralized digital health infrastructure. Creating a European Health Research and Innovation Cloud (HRIC) within this environment should enable data sharing and analysis for health research across the EU, in compliance with data protection legislation while preserving the full trust of the participants. Such a HRIC should learn from and build on existing data infrastructures, integrate best practices, and focus on the concrete needs of the community in terms of technologies, governance, management, regulation, and ethics requirements. Here, we describe the vision and expected benefits of digital data sharing in health research activities and present a roadmap that fosters the opportunities while answering the challenges of implementing a HRIC. For this, we put forward five specific recommendations and action points to ensure that a European HRIC: i) is built on established standards and guidelines, providing cloud technologies through an open and decentralized infrastructure; ii) is developed and certified to the highest standards of interoperability and data security that can be trusted by all stakeholders; iii) is supported by a robust ethical and legal framework that is compliant with the EU General Data Protection Regulation (GDPR); iv) establishes a proper environment for the training of new generations of data and medical scientists; and v) stimulates research and innovation in transnational collaborations through public and private initiatives and partnerships funded by the EU through Horizon 2020 and Horizon Europe.
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Affiliation(s)
- F M Aarestrup
- Technical University of Denmark, Kongens Lyngby, Denmark
| | - A Albeyatti
- Medicalchain, York Road, London, SQ1 7NQ, UK.,National Health Service, London, UK
| | - W J Armitage
- Translation Health Sciences, Bristol Medical School, Bristol, BS81UD, UK
| | - C Auffray
- European Institute for Systems Biology and Medicine (EISBM), Vourles, France.
| | - L Augello
- Regional Agency for Innovation & Procurement (ARIA), Welfare Services Division, Lombardy, Milan, Italy
| | - R Balling
- Luxembourg Centre for Systems Biomedicine, Campus Belval, University of Luxembourg, Luxembourg City, Luxembourg
| | - N Benhabiles
- CEA, French Atomic Energy and Alternative Energy Commission, Direction de la Recherche Fondamentale, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France.
| | - G Bertolini
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - J G Bjaalie
- Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - M Black
- Ulster University, Belfast, BT15 1ED, UK
| | - N Blomberg
- ELIXIR, Welcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
| | - P Bogaert
- Sciensano, Brussels, Belgium and Tilburg University, Tilburg, The Netherlands
| | - M Bubak
- Department of Computer Science and Academic Computing Center Cyfronet, Akademia Gornizco Hutnizca University of Science and Technology, Krakow, Poland
| | | | - L Clarke
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - B De Meulder
- European Institute for Systems Biology and Medicine (EISBM), Vourles, France
| | - G D'Errico
- Fondazione Toscana Life Sciences, 53100, Siena, Italy
| | - A Di Meglio
- CERN, European Organization for Nuclear Research, Meyrin, Switzerland
| | - N Forgo
- University of Vienna, Vienna, Austria
| | - C Gans-Combe
- INSEEC School of Business & Economics, Paris, France
| | - A E Gray
- PwC, Dronning Eufemiasgate, N-0191, Oslo, Norway
| | - I Gut
- Center for Genomic Regulations, Barcelona, Spain
| | - A Gyllenberg
- Neuroimmunology Unit, The Karolinska Neuroimmunology & Multiple Sclerosis Centre, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - G Hemmrich-Stanisak
- Institute of Clinical Molecular Biology, Kiel University and University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - L Hjorth
- Department of Clinical Sciences, Pediatrics, Lund University, Skåne University Hospital, Lund, Sweden
| | - Y Ioannidis
- Athena Research & Innovation Center and University of Athens, Athens, Greece
| | | | - A Kel
- geneXplain GmbH, Wolfenbüttel, Germany
| | - F Kherif
- Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - J O Korbel
- European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
| | - C Larue
- Integrated Biobank of Luxembourg, Rue Louis Rech, L-3555, Dudelange, Luxembourg
| | | | - A Maas
- Antwerp University Hospital and University of Antwerp, Edegem, Belgium
| | - L Magalhaes
- Clinerion Ltd, Elisabethenanlage, 4051, Basel, Switzerland
| | - I Manneh-Vangramberen
- European Cancer Patient Coalition, Rue de Montoyer/Montoyerstraat, B-1000, Brussels, Belgium
| | - E Morley-Fletcher
- Lynkeus, Via Livenza, 00198, Rome, Italy.,Public Policy Consultant, Rome, Italy
| | - C Ohmann
- European Clinical Research Infrastructure Network, Heinrich-Heine-Universität, Düsseldorf, Germany
| | - P Oksvold
- Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden
| | - N P Oxtoby
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - I Perseil
- Information Technology Department, Institut National de la Santé et de la Recherche Médicale, Paris, France
| | - V Pezoulas
- Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece
| | - O Riess
- Institute of Medical Genetics and Applied Genomics, Rare Disease Center, Tübingen, Germany
| | - H Riper
- Section Clinical, Neuro and Developmental Psychology, Department of Behavioural and Movement Sciences, Vrije Universiteit, Amsterdam, The Netherlands
| | - J Roca
- Hospital Clínic de Barcelona, IDIBAPS, University of Barcelona, Barcelona, Spain
| | - P Rosenstiel
- Institute of Clinical Molecular Biology, Kiel University and University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - P Sabatier
- French National Centre for Scientific Research, Grenoble, France
| | - F Sanz
- Hospital del Mar Medical Research Institute (IMIM), Universitat Pompeu Fabra, Barcelona, Spain
| | - M Tayeb
- Medicalchain, York Road, London, SQ1 7NQ, UK.,National Health Service, London, UK
| | | | - J Van Bussel
- Scientific Institute of Public Health, Brussels, Belgium
| | | | - H Van Oyen
- Department of Computer Science and Academic Computing Center Cyfronet, Akademia Gornizco Hutnizca University of Science and Technology, Krakow, Poland.,Sciensano, Juliette Wystmanstraat, 1050, Brussels, Belgium
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26
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Antony PMA, Kondratyeva O, Mommaerts K, Ostaszewski M, Sokolowska K, Baumuratov AS, Longhino L, Poulain JF, Grossmann D, Balling R, Krüger R, Diederich NJ. Fibroblast mitochondria in idiopathic Parkinson's disease display morphological changes and enhanced resistance to depolarization. Sci Rep 2020; 10:1569. [PMID: 32005875 PMCID: PMC6994699 DOI: 10.1038/s41598-020-58505-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 01/10/2020] [Indexed: 12/18/2022] Open
Abstract
Mitochondrial dysfunction is a hallmark in idiopathic Parkinson's disease (IPD). Here, we established screenable phenotypes of mitochondrial morphology and function in primary fibroblasts derived from patients with IPD. Upper arm punch skin biopsy was performed in 41 patients with mid-stage IPD and 21 age-matched healthy controls. At the single-cell level, the basal mitochondrial membrane potential (Ψm) was higher in patients with IPD than in controls. Similarly, under carbonyl cyanide 4-(trifluoromethoxy)phenylhydrazone (FCCP) stress, the remaining Ψm was increased in patients with IPD. Analysis of mitochondrial morphometric parameters revealed significantly decreased mitochondrial connectivity in patients with IPD, with 9 of 14 morphometric mitochondrial parameters differing from those in controls. Significant morphometric mitochondrial changes included the node degree, mean volume, skeleton size, perimeter, form factor, node count, erosion body count, endpoints, and mitochondria count (all P-values < 0.05). These functional data reveal that resistance to depolarization was increased by treatment with the protonophore FCCP in patients with IPD, whereas morphometric data revealed decreased mitochondrial connectivity and increased mitochondrial fragmentation.
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Affiliation(s)
- P M A Antony
- LCSB, University of Luxembourg, Belvaux, Luxembourg.
| | | | | | | | | | | | | | | | - D Grossmann
- LCSB, University of Luxembourg, Belvaux, Luxembourg
| | - R Balling
- LCSB, University of Luxembourg, Belvaux, Luxembourg
| | - R Krüger
- LCSB, University of Luxembourg, Belvaux, Luxembourg
- CHL, Luxembourg, Luxembourg
- Transversal Translational Medicine, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
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27
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Schymanski EL, Baker NC, Williams AJ, Singh RR, Trezzi JP, Wilmes P, Kolber PL, Kruger R, Paczia N, Linster CL, Balling R. Connecting environmental exposure and neurodegeneration using cheminformatics and high resolution mass spectrometry: potential and challenges. Environ Sci Process Impacts 2019; 21:1426-1445. [PMID: 31305828 DOI: 10.1039/c9em00068b] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Connecting chemical exposures over a lifetime to complex chronic diseases with multifactorial causes such as neurodegenerative diseases is an immense challenge requiring a long-term, interdisciplinary approach. Rapid developments in analytical and data technologies, such as non-target high resolution mass spectrometry (NT-HR-MS), have opened up new possibilities to accomplish this, inconceivable 20 years ago. While NT-HR-MS is being applied to increasingly complex research questions, there are still many unidentified chemicals and uncertainties in linking exposures to human health outcomes and environmental impacts. In this perspective, we explore the possibilities and challenges involved in using cheminformatics and NT-HR-MS to answer complex questions that cross many scientific disciplines, taking the identification of potential (small molecule) neurotoxicants in environmental or biological matrices as a case study. We explore capturing literature knowledge and patient exposure information in a form amenable to high-throughput data mining, and the related cheminformatic challenges. We then briefly cover which sample matrices are available, which method(s) could potentially be used to detect these chemicals in various matrices and what remains beyond the reach of NT-HR-MS. We touch on the potential for biological validation systems to contribute to mechanistic understanding of observations and explore which sampling and data archiving strategies may be required to form an accurate, sustained picture of small molecule signatures on extensive cohorts of patients with chronic neurodegenerative disorders. Finally, we reflect on how NT-HR-MS can support unravelling the contribution of the environment to complex diseases.
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Affiliation(s)
- Emma L Schymanski
- Environmental Cheminformatics Group, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Avenue du Swing, L-4367 Belvaux, Luxembourg.
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28
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Balling R, Stover PJ. Addressing the Increased Expectations of Nutrition. Annu Rev Nutr 2019; 39:v-vi. [DOI: 10.1146/annurev-nu-39-190619-100001] [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: 11/09/2022]
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29
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Bohler S, Krauskopf J, Espín-Pérez A, Gebel S, Palli D, Rantakokko P, Kiviranta H, Kyrtopoulos SA, Balling R, Kleinjans J. Genes associated with Parkinson's disease respond to increasing polychlorinated biphenyl levels in the blood of healthy females. Environ Pollut 2019; 250:107-117. [PMID: 30991279 DOI: 10.1016/j.envpol.2019.04.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 03/13/2019] [Accepted: 04/02/2019] [Indexed: 06/09/2023]
Abstract
Polychlorinated biphenyls (PCBs) are a class of widespread environmental pollutants, commonly found in human blood, that have been suggested to be linked to the occurrence of sporadic Parkinson's disease (PD). It has been reported that some non-coplanar PCBs accumulate in the brains of female PD patients. To improve our understanding of the association between PCB exposure and PD risk we have applied whole transcriptome gene expression analysis in blood cells from 594 PCB-exposed subjects (369 female, 225 male). Interestingly, we observe that in females, blood levels of non-coplanar PCBs appear to be associated with expression levels of PD-specific genes. However, no such association was detected in males. Among the 131 PD-specific genes affected, 39 have been shown to display similar changes in expression levels in the substantia nigra of deceased PD patients. Especially among the down-regulated genes, transcripts of genes involved in neurotransmitter vesicle-related functions were predominant.
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Affiliation(s)
- Sacha Bohler
- Department of Toxicogenomics, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands, 6229, ER Maastricht, the Netherlands
| | - Julian Krauskopf
- Department of Toxicogenomics, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands, 6229, ER Maastricht, the Netherlands.
| | - Almudena Espín-Pérez
- Department of Toxicogenomics, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands, 6229, ER Maastricht, the Netherlands
| | - Stephan Gebel
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 7, avenue des Hauts-Fourneaux, Esch-sur-Alzette L, 4362, Luxembourg
| | - Domenico Palli
- Istituto per lo Studio e la Prevenzione Oncologica (ISPO Toscana), FVia Cosimo Il Vecchio, 2, 50139, Florence, Italy
| | - Panu Rantakokko
- National Institute for Health and Welfare, Department of Health Security, P.O. Box 95, 70701, Kuopio, Finland
| | - Hannu Kiviranta
- National Institute for Health and Welfare, Department of Health Security, P.O. Box 95, 70701, Kuopio, Finland
| | - Soterios A Kyrtopoulos
- National Hellenic Research Foundation, Institute of Biology, Pharmaceutical Chemistry and Biotechnology, 48 Vassileos Constantinou Ave, 11635, Athens, Greece
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 7, avenue des Hauts-Fourneaux, Esch-sur-Alzette L, 4362, Luxembourg
| | - Jos Kleinjans
- Department of Toxicogenomics, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands, 6229, ER Maastricht, the Netherlands
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30
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Barbosa-Silva A, Bratfalean D, Gu W, Satagopam V, Houston P, Becnel LB, Eifes S, Richard F, Tielmann A, Herzinger S, Rege K, Balling R, Peeters P, Schneider R. Presenting and sharing clinical data using the eTRIKS Standards Master Tree for tranSMART. Bioinformatics 2019; 35:1562-1565. [PMID: 30256906 PMCID: PMC6499239 DOI: 10.1093/bioinformatics/bty809] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Revised: 07/30/2018] [Accepted: 09/25/2018] [Indexed: 11/13/2022] Open
Abstract
Motivation Standardization and semantic alignment have been considered one of the major challenges for data integration in clinical research. The inclusion of the CDISC SDTM clinical data standard into the tranSMART i2b2 via a guiding master ontology tree positively impacts and supports the efficacy of data sharing, visualization and exploration across datasets. Results We present here a schema for the organization of SDTM variables into the tranSMART i2b2 tree along with a script and test dataset to exemplify the mapping strategy. The eTRIKS master tree concept is demonstrated by making use of fictitious data generated for four patients, including 16 SDTM clinical domains. We describe how the usage of correct visit names and data labels can help to integrate multiple readouts per patient and avoid ETL crashes when running a tranSMART loading routine. Availability and implementation The eTRIKS Master Tree package and test datasets are publicly available at https://doi.org/10.5281/zenodo.1009098 and a functional demo installation at https://public.etriks.org/transmart/datasetExplorer/ under eTRIKS—Master Tree branch, where the discussed examples can be visualized.
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Affiliation(s)
- Adriano Barbosa-Silva
- University of Luxembourg, Luxembourg Centre for Systems Biomedicine, L-4371 Belvaux, Luxembourg.,Department of Clinical Pharmacology, Centre for Translational Bioinformatics, William Harvey Research, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M6BQ, UK
| | - Dorina Bratfalean
- CDISC, Clinical Data Interchange Standards Consortium and CDISC EU Foundation, Saint-Louis, Alsace, France
| | - Wei Gu
- University of Luxembourg, Luxembourg Centre for Systems Biomedicine, L-4371 Belvaux, Luxembourg
| | - Venkata Satagopam
- University of Luxembourg, Luxembourg Centre for Systems Biomedicine, L-4371 Belvaux, Luxembourg
| | - Paul Houston
- CDISC, Clinical Data Interchange Standards Consortium and CDISC EU Foundation, Saint-Louis, Alsace, France
| | - Lauren B Becnel
- CDISC, Clinical Data Interchange Standards Consortium and CDISC EU Foundation, Saint-Louis, Alsace, France
| | - Serge Eifes
- University of Luxembourg, Luxembourg Centre for Systems Biomedicine, L-4371 Belvaux, Luxembourg.,Information Technology for Translational Medicine (ITTM) S.A, Esch/Belval, Luxembourg
| | - Fabien Richard
- Centre National de la Recherche Scientifique (CNRS), Lyon, Auvergne-Rhône-Alpes, France
| | - Andreas Tielmann
- Department of Research and Bioinformatics, Merck KGaA, Darmstadt, Germany
| | - Sascha Herzinger
- University of Luxembourg, Luxembourg Centre for Systems Biomedicine, L-4371 Belvaux, Luxembourg
| | - Kavita Rege
- University of Luxembourg, Luxembourg Centre for Systems Biomedicine, L-4371 Belvaux, Luxembourg
| | - Rudi Balling
- University of Luxembourg, Luxembourg Centre for Systems Biomedicine, L-4371 Belvaux, Luxembourg
| | | | - Reinhard Schneider
- University of Luxembourg, Luxembourg Centre for Systems Biomedicine, L-4371 Belvaux, Luxembourg
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Salamanca L, Mechawar N, Murai KK, Balling R, Bouvier DS, Skupin A. MIC-MAC: An automated pipeline for high-throughput characterization and classification of three-dimensional microglia morphologies in mouse and human postmortem brain samples. Glia 2019; 67:1496-1509. [PMID: 30983036 PMCID: PMC6617786 DOI: 10.1002/glia.23623] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [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: 12/17/2018] [Revised: 02/21/2019] [Accepted: 03/29/2019] [Indexed: 12/29/2022]
Abstract
The phenotypic changes of microglia in brain diseases are particularly diverse and their role in disease progression, beneficial, or detrimental, is still elusive. High‐throughput molecular approaches such as single‐cell RNA‐sequencing can now resolve the high heterogeneity in microglia population for a specific physiological condition, however, the relation between the different microglial signatures and their surrounding brain microenvironment is barely understood. Thus, better tools to characterize the phenotypic variations of microglia in situ are needed, particularly for human brain postmortem samples analysis. To address this challenge, we developed MIC‐MAC, a Microglia and Immune Cells Morphologies Analyser and Classifier pipeline that semiautomatically segments, extracts, and classifies all microglia and immune cells labeled in large three‐dimensional (3D) confocal image stacks of mouse and human brain samples. Our imaging‐based approach enables automatic 3D‐morphology characterization and classification of thousands of individual microglia in situ and revealed species‐ and disease‐specific morphological phenotypes in mouse aging, human Alzheimer's disease, and dementia with Lewy Bodie's samples. MIC‐MAC is a precision diagnostic tool that allows a rapid, unbiased, and large‐scale analysis of microglia morphological states in mouse models and patient brain samples.
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Affiliation(s)
- Luis Salamanca
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belval, Luxembourg.,Swiss Data Science Center, ETH Zürich, Zürich, Switzerland
| | - Naguib Mechawar
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Keith K Murai
- Centre for Research in Neuroscience, Department of Neurology and Neurosurgery, The Research Institute of the McGill University Health Centre, Montreal General Hospital, Montreal, Quebec, Canada
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belval, Luxembourg
| | - David S Bouvier
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belval, Luxembourg
| | - Alexander Skupin
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belval, Luxembourg.,National Biomedical Computation Resource, University California San Diego, La Jolla, California
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32
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Ostaszewski M, Gebel S, Kuperstein I, Mazein A, Zinovyev A, Dogrusoz U, Hasenauer J, Fleming RMT, Le Novère N, Gawron P, Ligon T, Niarakis A, Nickerson D, Weindl D, Balling R, Barillot E, Auffray C, Schneider R. Community-driven roadmap for integrated disease maps. Brief Bioinform 2019; 20:659-670. [PMID: 29688273 PMCID: PMC6556900 DOI: 10.1093/bib/bby024] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 03/02/2018] [Indexed: 01/07/2023] Open
Abstract
The Disease Maps Project builds on a network of scientific and clinical groups that exchange best practices, share information and develop systems biomedicine tools. The project aims for an integrated, highly curated and user-friendly platform for disease-related knowledge. The primary focus of disease maps is on interconnected signaling, metabolic and gene regulatory network pathways represented in standard formats. The involvement of domain experts ensures that the key disease hallmarks are covered and relevant, up-to-date knowledge is adequately represented. Expert-curated and computer readable, disease maps may serve as a compendium of knowledge, allow for data-supported hypothesis generation or serve as a scaffold for the generation of predictive mathematical models. This article summarizes the 2nd Disease Maps Community meeting, highlighting its important topics and outcomes. We outline milestones on the roadmap for the future development of disease maps, including creating and maintaining standardized disease maps; sharing parts of maps that encode common human disease mechanisms; providing technical solutions for complexity management of maps; and Web tools for in-depth exploration of such maps. A dedicated discussion was focused on mathematical modeling approaches, as one of the main goals of disease map development is the generation of mathematically interpretable representations to predict disease comorbidity or drug response and to suggest drug repositioning, altogether supporting clinical decisions.
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Affiliation(s)
- Marek Ostaszewski
- Luxembourg Centre for Systems Biomedicine, Universite du Luxembourg, 7 Avenue des Hauts-Fourneaux, L-4362 Esch-sur-Alzette, Luxembourg
| | - Stephan Gebel
- Luxembourg Centre for Systems Biomedicine, Universite du Luxembourg, 7 Avenue des Hauts-Fourneaux, L-4362 Esch-sur-Alzette, Luxembourg
| | - Inna Kuperstein
- Institut Curie, PSL Research University, INSERM U900, F-75005 Paris, France and CBIO-Centre for Computational Biology, MINES ParisTech, PSL Research University, F-75006 Paris, France
| | - Alexander Mazein
- European Institute for Systems Biology and Medicine, CIRI UMR5308, CNRS-ENS-UCBL-INSERM, Université de Lyon, 50 Avenue Tony Garnier, 69007 Lyon, France
| | - Andrei Zinovyev
- Institut Curie, PSL Research University, INSERM U900, F-75005 Paris, France and CBIO-Centre for Computational Biology, MINES ParisTech, PSL Research University, F-75006 Paris, France
| | - Ugur Dogrusoz
- Computer Engineering Department, Faculty of Engineering, Bilkent University, Ankara 06800, Turkey
| | - Jan Hasenauer
- Institute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Ronan M T Fleming
- Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Faculty of Science, Leiden University, Leiden, Netherlands
| | - Nicolas Le Novère
- The Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, United Kingdom
| | - Piotr Gawron
- Luxembourg Centre for Systems Biomedicine, Universite du Luxembourg, 7 Avenue des Hauts-Fourneaux, L-4362 Esch-sur-Alzette, Luxembourg
| | - Thomas Ligon
- Faculty of Physics and Center for NanoScience (CeNS), Ludwig-Maximilians-Universität, 80539 München, Germany
| | - Anna Niarakis
- GenHotel EA3886, Univ Evry, Université Paris-Saclay, Evry 91025, France
| | - David Nickerson
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Daniel Weindl
- Institute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine, Universite du Luxembourg, 7 Avenue des Hauts-Fourneaux, L-4362 Esch-sur-Alzette, Luxembourg
| | - Emmanuel Barillot
- Institut Curie, PSL Research University, INSERM U900, F-75005 Paris, France and CBIO-Centre for Computational Biology, MINES ParisTech, PSL Research University, F-75006 Paris, France
| | - Charles Auffray
- European Institute for Systems Biology and Medicine, CIRI UMR5308, CNRS-ENS-UCBL-INSERM, Université de Lyon, 50 Avenue Tony Garnier, 69007 Lyon, France
| | - Reinhard Schneider
- Luxembourg Centre for Systems Biomedicine, Universite du Luxembourg, 7 Avenue des Hauts-Fourneaux, L-4362 Esch-sur-Alzette, Luxembourg
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Overall RW, Balling R, Kempermann G, Williams RW. Workshop Report: Systems Genetics of Neurodegenerative Disease, a Summer School in Systems Medicine, 25th August−1st September 2017. Front Genet 2019; 10:29. [PMID: 30804978 PMCID: PMC6370622 DOI: 10.3389/fgene.2019.00029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Accepted: 01/17/2019] [Indexed: 11/15/2022] Open
Affiliation(s)
- Rupert W. Overall
- Center for Regenerative Therapies Dresden, Technische Universität Dresden, Dresden, Germany
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
- *Correspondence: Rupert W. Overall
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Gerd Kempermann
- Center for Regenerative Therapies Dresden, Technische Universität Dresden, Dresden, Germany
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
| | - Robert W Williams
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, United States
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Fehlmann T, Laufer T, Backes C, Kahramann M, Alles J, Fischer U, Minet M, Ludwig N, Kern F, Kehl T, Galata V, Düsterloh A, Schrörs H, Kohlhaas J, Bals R, Huwer H, Geffers L, Krüger R, Balling R, Lenhof HP, Meese E, Keller A. Large-scale validation of miRNAs by disease association, evolutionary conservation and pathway activity. RNA Biol 2018; 16:93-103. [PMID: 30567465 DOI: 10.1080/15476286.2018.1559689] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
The validation of microRNAs (miRNAs) identified by next generation sequencing involves amplification-free and hybridization-based detection of transcripts as criteria for confirming valid miRNAs. Since respective validation is frequently not performed, miRNA repositories likely still contain a substantial fraction of false positive candidates while true miRNAs are not stored in the repositories yet. Especially if downstream analyses are performed with these candidates (e.g. target or pathway prediction), the results may be misleading. In the present study, we evaluated 558 mature miRNAs from miRBase and 1,709 miRNA candidates from next generation sequencing experiments by amplification-free hybridization and investigated their distributions in patients with various disease conditions. Notably, the most significant miRNAs in diseases are often not contained in the miRBase. However, these candidates are evolutionary highly conserved. From the expression patterns, target gene and pathway analyses and evolutionary conservation analyses, we were able to shed light on the complexity of miRNAs in humans. Our data also highlight that a more thorough validation of miRNAs identified by next generation sequencing is required. The results are available in miRCarta ( https://mircarta.cs.uni-saarland.de ).
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Affiliation(s)
- Tobias Fehlmann
- a Chair for Clinical Bioinformatics , Saarland University , Saarbrücken , Germany
| | - Thomas Laufer
- b Department of Human Genetics , Saarland University , Homburg , Germany.,c Hummingbird Diagnostics GmbH , Heidelberg , Germany
| | - Christina Backes
- a Chair for Clinical Bioinformatics , Saarland University , Saarbrücken , Germany
| | - Mustafa Kahramann
- a Chair for Clinical Bioinformatics , Saarland University , Saarbrücken , Germany.,c Hummingbird Diagnostics GmbH , Heidelberg , Germany
| | - Julia Alles
- b Department of Human Genetics , Saarland University , Homburg , Germany
| | - Ulrike Fischer
- b Department of Human Genetics , Saarland University , Homburg , Germany
| | - Marie Minet
- a Chair for Clinical Bioinformatics , Saarland University , Saarbrücken , Germany.,b Department of Human Genetics , Saarland University , Homburg , Germany
| | - Nicole Ludwig
- b Department of Human Genetics , Saarland University , Homburg , Germany
| | - Fabian Kern
- a Chair for Clinical Bioinformatics , Saarland University , Saarbrücken , Germany
| | - Tim Kehl
- d Center for Bioinformatics , Saarland Informatics Campus , Saarbrücken , Germany
| | - Valentina Galata
- a Chair for Clinical Bioinformatics , Saarland University , Saarbrücken , Germany
| | | | | | | | - Robert Bals
- e Department of Internal Medicine V - Pulmonology, Allergology, Intensive Care Medicine , Saarland University Hospital , Homburg , Germany
| | - Hanno Huwer
- f Department of Thoracic Surgery , SHG Clinics , Völklingen , Germany
| | - Lars Geffers
- g LCSB, Luxembourg Centre for Systems Biomedicine , University of Luxembourg , Esch-Sur-Alzette , Luxembourg
| | - Rejko Krüger
- g LCSB, Luxembourg Centre for Systems Biomedicine , University of Luxembourg , Esch-Sur-Alzette , Luxembourg
| | - Rudi Balling
- g LCSB, Luxembourg Centre for Systems Biomedicine , University of Luxembourg , Esch-Sur-Alzette , Luxembourg
| | - Hans-Peter Lenhof
- d Center for Bioinformatics , Saarland Informatics Campus , Saarbrücken , Germany
| | - Eckart Meese
- b Department of Human Genetics , Saarland University , Homburg , Germany
| | - Andreas Keller
- a Chair for Clinical Bioinformatics , Saarland University , Saarbrücken , Germany.,d Center for Bioinformatics , Saarland Informatics Campus , Saarbrücken , Germany
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35
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Hipp G, Vaillant M, Diederich NJ, Roomp K, Satagopam VP, Banda P, Sandt E, Mommaerts K, Schmitz SK, Longhino L, Schweicher A, Hanff AM, Nicolai B, Kolber P, Reiter D, Pavelka L, Binck S, Pauly C, Geffers L, Betsou F, Gantenbein M, Klucken J, Gasser T, Hu MT, Balling R, Krüger R. The Luxembourg Parkinson's Study: A Comprehensive Approach for Stratification and Early Diagnosis. Front Aging Neurosci 2018; 10:326. [PMID: 30420802 PMCID: PMC6216083 DOI: 10.3389/fnagi.2018.00326] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [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: 06/15/2018] [Accepted: 09/26/2018] [Indexed: 11/13/2022] Open
Abstract
While genetic advances have successfully defined part of the complexity in Parkinson's disease (PD), the clinical characterization of phenotypes remains challenging. Therapeutic trials and cohort studies typically include patients with earlier disease stages and exclude comorbidities, thus ignoring a substantial part of the real-world PD population. To account for these limitations, we implemented the Luxembourg PD study as a comprehensive clinical, molecular and device-based approach including patients with typical PD and atypical parkinsonism, irrespective of their disease stage, age, comorbidities, or linguistic background. To provide a large, longitudinally followed, and deeply phenotyped set of patients and controls for clinical and fundamental research on PD, we implemented an open-source digital platform that can be harmonized with international PD cohort studies. Our interests also reflect Luxembourg-specific areas of PD research, including vision, gait, and cognition. This effort is flanked by comprehensive biosampling efforts assuring high quality and sustained availability of body liquids and tissue biopsies. We provide evidence for the feasibility of such a cohort program with deep phenotyping and high quality biosampling on parkinsonism in an environment with structural specificities and alert the international research community to our willingness to collaborate with other centers. The combination of advanced clinical phenotyping approaches including device-based assessment will create a comprehensive assessment of the disease and its variants, its interaction with comorbidities and its progression. We envision the Luxembourg Parkinson's study as an important research platform for defining early diagnosis and progression markers that translate into stratified treatment approaches.
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Affiliation(s)
- Geraldine Hipp
- Clinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg
- Neurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg
| | - Michel Vaillant
- Competence Centre in Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg
| | | | - Kirsten Roomp
- Bioinformatics Core, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur Alzette, Luxembourg
| | - Venkata P. Satagopam
- Bioinformatics Core, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur Alzette, Luxembourg
| | - Peter Banda
- Bioinformatics Core, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur Alzette, Luxembourg
| | - Estelle Sandt
- Integrated BioBank of Luxembourg, Dudelange, Luxembourg
| | - Kathleen Mommaerts
- Integrated BioBank of Luxembourg, Dudelange, Luxembourg
- Developmental and Cellular Biology, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur Alzette, Luxembourg
| | - Sabine K. Schmitz
- Clinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg
| | - Laura Longhino
- Neurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg
| | | | - Anne-Marie Hanff
- Neurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg
| | - Béatrice Nicolai
- Neurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg
| | - Pierre Kolber
- Clinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg
- Neurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg
| | - Dorothea Reiter
- Clinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg
- Neurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg
| | - Lukas Pavelka
- Clinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg
- Neurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg
| | - Sylvia Binck
- Clinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg
- Neurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg
| | - Claire Pauly
- Clinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg
- Neurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg
| | - Lars Geffers
- Clinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg
| | - Fay Betsou
- Integrated BioBank of Luxembourg, Dudelange, Luxembourg
| | - Manon Gantenbein
- Clinical and Epidemiological Investigation Center, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Jochen Klucken
- Department of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Thomas Gasser
- Department of Neurodegeneration, Hertie-Institute for Clinical Brain Research and German Center for Neurodegenerative Diseases, Tübingen, Germany
| | - Michele T. Hu
- Nuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Rudi Balling
- Clinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg
| | - Rejko Krüger
- Clinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg
- Neurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg
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36
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Michelucci A, Golebiewska A, Pires-Afonso Y, Poovathingal SK, Oudin A, Balling R, Skupin A, Niclou SP. P05.44 Single-cell transcriptomic analysis of microglia/macrophages in Glioblastoma. Neuro Oncol 2018. [DOI: 10.1093/neuonc/noy139.370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- A Michelucci
- Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - A Golebiewska
- Luxembourg Institute of Health, Luxembourg, Luxembourg
| | | | | | - A Oudin
- Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - R Balling
- University of Luxembourg, Luxembourg, Luxembourg
| | - A Skupin
- University of Luxembourg, Luxembourg, Luxembourg
| | - S P Niclou
- Luxembourg Institute of Health, Luxembourg, Luxembourg
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Sousa C, Golebiewska A, Poovathingal SK, Kaoma T, Pires-Afonso Y, Martina S, Coowar D, Azuaje F, Skupin A, Balling R, Biber K, Niclou SP, Michelucci A. Single-cell transcriptomics reveals distinct inflammation-induced microglia signatures. EMBO Rep 2018; 19:embr.201846171. [PMID: 30206190 PMCID: PMC6216255 DOI: 10.15252/embr.201846171] [Citation(s) in RCA: 160] [Impact Index Per Article: 26.7] [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: 03/23/2018] [Revised: 08/17/2018] [Accepted: 08/22/2018] [Indexed: 01/10/2023] Open
Abstract
Microglia are specialized parenchymal‐resident phagocytes of the central nervous system (CNS) that actively support, defend and modulate the neural environment. Dysfunctional microglial responses are thought to worsen CNS diseases; nevertheless, their impact during neuroinflammatory processes remains largely obscure. Here, using a combination of single‐cell RNA sequencing and multicolour flow cytometry, we comprehensively profile microglia in the brain of lipopolysaccharide (LPS)‐injected mice. By excluding the contribution of other immune CNS‐resident and peripheral cells, we show that microglia isolated from LPS‐injected mice display a global downregulation of their homeostatic signature together with an upregulation of inflammatory genes. Notably, we identify distinct microglial activated profiles under inflammatory conditions, which greatly differ from neurodegenerative disease‐associated profiles. These results provide insights into microglial heterogeneity and establish a resource for the identification of specific phenotypes in CNS disorders, such as neuroinflammatory and neurodegenerative diseases.
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Affiliation(s)
- Carole Sousa
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, Luxembourg, Luxembourg.,Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg.,Doctoral School of Science and Technology, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Anna Golebiewska
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Suresh K Poovathingal
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg.,Single Cell Analytics & Microfluidics Core, Vlaams Instituut voor Biotechnologie-KU Leuven, Leuven, Belgium
| | - Tony Kaoma
- Proteome and Genome Research Unit, Department of Oncology, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Yolanda Pires-Afonso
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, Luxembourg, Luxembourg.,Doctoral School of Science and Technology, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Silvia Martina
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg
| | - Djalil Coowar
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg
| | - Francisco Azuaje
- Proteome and Genome Research Unit, Department of Oncology, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Alexander Skupin
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg.,National Centre for Microscopy and Imaging Research, University of California San Diego, La Jolla, CA, USA
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg
| | - Knut Biber
- Section Molecular Psychiatry, Department for Psychiatry and Psychotherapy, Laboratory of Translational Psychiatry, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.,Section Medical Physiology, Department of Neuroscience, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Simone P Niclou
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, Luxembourg, Luxembourg.,Department of Biomedicine, KG Jebsen Brain Tumour Research Center, University of Bergen, Bergen, Norway
| | - Alessandro Michelucci
- NORLUX Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, Luxembourg, Luxembourg .,Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg
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Fröhlich H, Balling R, Beerenwinkel N, Kohlbacher O, Kumar S, Lengauer T, Maathuis MH, Moreau Y, Murphy SA, Przytycka TM, Rebhan M, Röst H, Schuppert A, Schwab M, Spang R, Stekhoven D, Sun J, Weber A, Ziemek D, Zupan B. From hype to reality: data science enabling personalized medicine. BMC Med 2018; 16:150. [PMID: 30145981 PMCID: PMC6109989 DOI: 10.1186/s12916-018-1122-7] [Citation(s) in RCA: 167] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Accepted: 07/09/2018] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Personalized, precision, P4, or stratified medicine is understood as a medical approach in which patients are stratified based on their disease subtype, risk, prognosis, or treatment response using specialized diagnostic tests. The key idea is to base medical decisions on individual patient characteristics, including molecular and behavioral biomarkers, rather than on population averages. Personalized medicine is deeply connected to and dependent on data science, specifically machine learning (often named Artificial Intelligence in the mainstream media). While during recent years there has been a lot of enthusiasm about the potential of 'big data' and machine learning-based solutions, there exist only few examples that impact current clinical practice. The lack of impact on clinical practice can largely be attributed to insufficient performance of predictive models, difficulties to interpret complex model predictions, and lack of validation via prospective clinical trials that demonstrate a clear benefit compared to the standard of care. In this paper, we review the potential of state-of-the-art data science approaches for personalized medicine, discuss open challenges, and highlight directions that may help to overcome them in the future. CONCLUSIONS There is a need for an interdisciplinary effort, including data scientists, physicians, patient advocates, regulatory agencies, and health insurance organizations. Partially unrealistic expectations and concerns about data science-based solutions need to be better managed. In parallel, computational methods must advance more to provide direct benefit to clinical practice.
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Affiliation(s)
- Holger Fröhlich
- UCB Biosciences GmbH, Alfred-Nobel-Str. Str. 10, 40789 Monheim, Germany
- University of Bonn, Bonn-Aachen International Center for IT, Endenicher Allee 19c, 53115 Bonn, Germany
| | - Rudi Balling
- University of Luxembourg, 6 avenue du Swing, 4367 Belvaux, Luxembourg
| | - Niko Beerenwinkel
- Department of Biosciences and Engineering, ETH Zurich, Mattenstr. 26, 4058 Basel, Switzerland
| | - Oliver Kohlbacher
- University of Tübingen, WSI/ZBIT, Sand 14, 72076 Tübingen, Germany
- Max Planck Institute for Developmental Biology, Max-Planck-Ring 5, 72076 Tübingen, Germany
- Quantitative Biology Center, University of Tübingen, Auf der Morgenstelle 8, 72076 Tübingen, Germany
- Institute for Translational Bioinformatics, University Medical Center Tübingen, Sand 14, 72076 Tübingen, Germany
| | - Santosh Kumar
- Department of Computer Science, University of Memphis, 2222 Dunn Hall, Memphis, TN 38152 USA
| | - Thomas Lengauer
- Max-Planck-Institute for Informatics, 66123 Saarbrücken, Germany
| | - Marloes H. Maathuis
- ETH Zurich, Seminar für Statistik, Rämistrasse 101, 8092 Zurich, Switzerland
| | - Yves Moreau
- University of Leuven, ESAT, Kasteelpark Arenberg 10, 3001 Leuven, Belgium
| | - Susan A. Murphy
- Harvard University, Science Center 400 Suite, Oxford Street, Cambridge, MA 02138-2901 USA
| | - Teresa M. Przytycka
- National Center of Biotechnology Information, National Institute of Health, 8600 Rockville Pike, Bethesda, MD 20894-6075 USA
| | - Michael Rebhan
- Novartis Institutes for Biomedical Research, 4056 Basel, Switzerland
| | - Hannes Röst
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1 Canada
| | - Andreas Schuppert
- RWTH Aachen, Joint Research Center for Computational Biomedicine, Pauwelsstrasse 19, 52074 Aachen, Germany
| | - Matthias Schwab
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Aucherbachstrasse 112, 70376 Stuttgart, Germany
- University of Tübingen, Departments of Clinical Pharmacology and of Pharmacy and Biochemistry, Tübingen, Germany
| | - Rainer Spang
- University of Regensburg, Institute of Functional Genomics, Am BioPark 9, 93053 Regensburg, Germany
| | - Daniel Stekhoven
- ETH Zurich, NEXUS Personalized Health Technol., Otto-Stern-Weg 7, 8093 Zurich, Switzerland
| | - Jimeng Sun
- Georgia Tech University, 801 Atlantic Drive, Atlanta, GA 30332-0280 USA
| | - Andreas Weber
- Institute for Computer Science, University of Bonn, Endenicher Allee 19a, 53115 Bonn, Germany
| | - Daniel Ziemek
- Pfizer, Worldwide Research and Development, Linkstraße 10, 10785 Berlin, Germany
| | - Blaz Zupan
- Faculty of Computer and Information Science, University of Ljubljana, Večna pot 113, SI-1000 Ljubljana, Slovenia
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Mazein A, Ostaszewski M, Kuperstein I, Watterson S, Le Novère N, Lefaudeux D, De Meulder B, Pellet J, Balaur I, Saqi M, Nogueira MM, He F, Parton A, Lemonnier N, Gawron P, Gebel S, Hainaut P, Ollert M, Dogrusoz U, Barillot E, Zinovyev A, Schneider R, Balling R, Auffray C. Systems medicine disease maps: community-driven comprehensive representation of disease mechanisms. NPJ Syst Biol Appl 2018; 4:21. [PMID: 29872544 PMCID: PMC5984630 DOI: 10.1038/s41540-018-0059-y] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Revised: 04/26/2018] [Accepted: 05/04/2018] [Indexed: 12/18/2022] Open
Abstract
The development of computational approaches in systems biology has reached a state of maturity that allows their transition to systems medicine. Despite this progress, intuitive visualisation and context-dependent knowledge representation still present a major bottleneck. In this paper, we describe the Disease Maps Project, an effort towards a community-driven computationally readable comprehensive representation of disease mechanisms. We outline the key principles and the framework required for the success of this initiative, including use of best practices, standards and protocols. We apply a modular approach to ensure efficient sharing and reuse of resources for projects dedicated to specific diseases. Community-wide use of disease maps will accelerate the conduct of biomedical research and lead to new disease ontologies defined from mechanism-based disease endotypes rather than phenotypes.
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Affiliation(s)
- Alexander Mazein
- 1European Institute for Systems Biology and Medicine, CIRI UMR5308, CNRS-ENS-UCBL-INSERM, Université de Lyon, 50 Avenue Tony Garnier, 69007 Lyon, France
| | - Marek Ostaszewski
- 2Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Campus Belval, 7 Avenue des Hauts-Fourneaux, L-4362 Esch-sur-Alzette, Luxembourg
| | - Inna Kuperstein
- 3Institut Curie, Paris, France.,4INSERM, U900 Paris, France.,5Mines ParisTech, Fontainebleau, France.,6PSL Research University, Paris, France
| | - Steven Watterson
- 7Northern Ireland Centre for Stratified Medicine, Ulster University, C-Tric, Altnagelvin Hospital Campus, Derry, Co Londonderry, Northern Ireland, BT47 6SB UK
| | - Nicolas Le Novère
- 8The Babraham Institute, Babraham Research Campus, Cambridge, CB22 3AT UK
| | - Diane Lefaudeux
- 1European Institute for Systems Biology and Medicine, CIRI UMR5308, CNRS-ENS-UCBL-INSERM, Université de Lyon, 50 Avenue Tony Garnier, 69007 Lyon, France
| | - Bertrand De Meulder
- 1European Institute for Systems Biology and Medicine, CIRI UMR5308, CNRS-ENS-UCBL-INSERM, Université de Lyon, 50 Avenue Tony Garnier, 69007 Lyon, France
| | - Johann Pellet
- 1European Institute for Systems Biology and Medicine, CIRI UMR5308, CNRS-ENS-UCBL-INSERM, Université de Lyon, 50 Avenue Tony Garnier, 69007 Lyon, France
| | - Irina Balaur
- 1European Institute for Systems Biology and Medicine, CIRI UMR5308, CNRS-ENS-UCBL-INSERM, Université de Lyon, 50 Avenue Tony Garnier, 69007 Lyon, France
| | - Mansoor Saqi
- 1European Institute for Systems Biology and Medicine, CIRI UMR5308, CNRS-ENS-UCBL-INSERM, Université de Lyon, 50 Avenue Tony Garnier, 69007 Lyon, France
| | - Maria Manuela Nogueira
- 1European Institute for Systems Biology and Medicine, CIRI UMR5308, CNRS-ENS-UCBL-INSERM, Université de Lyon, 50 Avenue Tony Garnier, 69007 Lyon, France
| | - Feng He
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), House of BioHealth, 29 Rue Henri Koch, L-4354 Esch-Sur-Alzette, Luxembourg
| | - Andrew Parton
- 7Northern Ireland Centre for Stratified Medicine, Ulster University, C-Tric, Altnagelvin Hospital Campus, Derry, Co Londonderry, Northern Ireland, BT47 6SB UK
| | - Nathanaël Lemonnier
- 10Institute for Advanced Biosciences, University Grenoble-Alpes-INSERM U1209-CNRS UMR5309, Site Santé - Allée des Alpes, 38700 La Tronche, France
| | - Piotr Gawron
- 2Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Campus Belval, 7 Avenue des Hauts-Fourneaux, L-4362 Esch-sur-Alzette, Luxembourg
| | - Stephan Gebel
- 2Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Campus Belval, 7 Avenue des Hauts-Fourneaux, L-4362 Esch-sur-Alzette, Luxembourg
| | - Pierre Hainaut
- 10Institute for Advanced Biosciences, University Grenoble-Alpes-INSERM U1209-CNRS UMR5309, Site Santé - Allée des Alpes, 38700 La Tronche, France
| | - Markus Ollert
- Department of Infection and Immunity, Luxembourg Institute of Health (LIH), House of BioHealth, 29 Rue Henri Koch, L-4354 Esch-Sur-Alzette, Luxembourg.,11Department of Dermatology and Allergy Center, Odense Research Center for Anaphylaxis, University of Southern Denmark, Odense, Denmark
| | - Ugur Dogrusoz
- 12Faculty of Engineering, Computer Engineering Department, Bilkent University, Ankara, 06800 Turkey
| | - Emmanuel Barillot
- 3Institut Curie, Paris, France.,4INSERM, U900 Paris, France.,5Mines ParisTech, Fontainebleau, France.,6PSL Research University, Paris, France
| | - Andrei Zinovyev
- 3Institut Curie, Paris, France.,4INSERM, U900 Paris, France.,5Mines ParisTech, Fontainebleau, France.,6PSL Research University, Paris, France
| | - Reinhard Schneider
- 2Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Campus Belval, 7 Avenue des Hauts-Fourneaux, L-4362 Esch-sur-Alzette, Luxembourg
| | - Rudi Balling
- 2Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Campus Belval, 7 Avenue des Hauts-Fourneaux, L-4362 Esch-sur-Alzette, Luxembourg
| | - Charles Auffray
- 1European Institute for Systems Biology and Medicine, CIRI UMR5308, CNRS-ENS-UCBL-INSERM, Université de Lyon, 50 Avenue Tony Garnier, 69007 Lyon, France
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May P, Pichler S, Hartl D, Bobbili DR, Mayhaus M, Spaniol C, Kurz A, Balling R, Schneider JG, Riemenschneider M. Rare ABCA7 variants in 2 German families with Alzheimer disease. Neurol Genet 2018; 4:e224. [PMID: 29577078 PMCID: PMC5863691 DOI: 10.1212/nxg.0000000000000224] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Accepted: 02/13/2018] [Indexed: 12/15/2022]
Abstract
Objective The aim of this study was to identify variants associated with familial late-onset Alzheimer disease (AD) using whole-genome sequencing. Methods Several families with an autosomal dominant inheritance pattern of AD were analyzed by whole-genome sequencing. Variants were prioritized for rare, likely pathogenic variants in genes already known to be associated with AD and confirmed by Sanger sequencing using standard protocols. Results We identified 2 rare ABCA7 variants (rs143718918 and rs538591288) with varying penetrance in 2 independent German AD families, respectively. The single nucleotide variant (SNV) rs143718918 causes a missense mutation, and the deletion rs538591288 causes a frameshift mutation of ABCA7. Both variants have previously been reported in larger cohorts but with incomplete segregation information. ABCA7 is one of more than 20 AD risk loci that have so far been identified by genome-wide association studies, and both common and rare variants of ABCA7 have previously been described in different populations with higher frequencies in AD cases than in controls and varying penetrance. Furthermore, ABCA7 is known to be involved in several AD-relevant pathways. Conclusions We conclude that both SNVs might contribute to the development of AD in the examined family members. Together with previous findings, our data confirm ABCA7 as one of the most relevant AD risk genes.
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Affiliation(s)
- Patrick May
- Luxembourg Centre for Systems Biomedicine (LCSB) (P.M., D.R.B., R.B., J.G.S.), University of Luxembourg, Esch-sur-Alzette; Department of Psychiatry and Psychotherapy (S.P., D.H., M.M., C.S., M.R.), Saarland University Hospital, Saarland University, Homburg; and Department of Psychiatry and Psychotherapy (A.K.), Klinikum Rechts der Isar, TU-Muenchen, Munich, Germany
| | - Sabrina Pichler
- Luxembourg Centre for Systems Biomedicine (LCSB) (P.M., D.R.B., R.B., J.G.S.), University of Luxembourg, Esch-sur-Alzette; Department of Psychiatry and Psychotherapy (S.P., D.H., M.M., C.S., M.R.), Saarland University Hospital, Saarland University, Homburg; and Department of Psychiatry and Psychotherapy (A.K.), Klinikum Rechts der Isar, TU-Muenchen, Munich, Germany
| | - Daniela Hartl
- Luxembourg Centre for Systems Biomedicine (LCSB) (P.M., D.R.B., R.B., J.G.S.), University of Luxembourg, Esch-sur-Alzette; Department of Psychiatry and Psychotherapy (S.P., D.H., M.M., C.S., M.R.), Saarland University Hospital, Saarland University, Homburg; and Department of Psychiatry and Psychotherapy (A.K.), Klinikum Rechts der Isar, TU-Muenchen, Munich, Germany
| | - Dheeraj R Bobbili
- Luxembourg Centre for Systems Biomedicine (LCSB) (P.M., D.R.B., R.B., J.G.S.), University of Luxembourg, Esch-sur-Alzette; Department of Psychiatry and Psychotherapy (S.P., D.H., M.M., C.S., M.R.), Saarland University Hospital, Saarland University, Homburg; and Department of Psychiatry and Psychotherapy (A.K.), Klinikum Rechts der Isar, TU-Muenchen, Munich, Germany
| | - Manuel Mayhaus
- Luxembourg Centre for Systems Biomedicine (LCSB) (P.M., D.R.B., R.B., J.G.S.), University of Luxembourg, Esch-sur-Alzette; Department of Psychiatry and Psychotherapy (S.P., D.H., M.M., C.S., M.R.), Saarland University Hospital, Saarland University, Homburg; and Department of Psychiatry and Psychotherapy (A.K.), Klinikum Rechts der Isar, TU-Muenchen, Munich, Germany
| | - Christian Spaniol
- Luxembourg Centre for Systems Biomedicine (LCSB) (P.M., D.R.B., R.B., J.G.S.), University of Luxembourg, Esch-sur-Alzette; Department of Psychiatry and Psychotherapy (S.P., D.H., M.M., C.S., M.R.), Saarland University Hospital, Saarland University, Homburg; and Department of Psychiatry and Psychotherapy (A.K.), Klinikum Rechts der Isar, TU-Muenchen, Munich, Germany
| | - Alexander Kurz
- Luxembourg Centre for Systems Biomedicine (LCSB) (P.M., D.R.B., R.B., J.G.S.), University of Luxembourg, Esch-sur-Alzette; Department of Psychiatry and Psychotherapy (S.P., D.H., M.M., C.S., M.R.), Saarland University Hospital, Saarland University, Homburg; and Department of Psychiatry and Psychotherapy (A.K.), Klinikum Rechts der Isar, TU-Muenchen, Munich, Germany
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine (LCSB) (P.M., D.R.B., R.B., J.G.S.), University of Luxembourg, Esch-sur-Alzette; Department of Psychiatry and Psychotherapy (S.P., D.H., M.M., C.S., M.R.), Saarland University Hospital, Saarland University, Homburg; and Department of Psychiatry and Psychotherapy (A.K.), Klinikum Rechts der Isar, TU-Muenchen, Munich, Germany
| | - Jochen G Schneider
- Luxembourg Centre for Systems Biomedicine (LCSB) (P.M., D.R.B., R.B., J.G.S.), University of Luxembourg, Esch-sur-Alzette; Department of Psychiatry and Psychotherapy (S.P., D.H., M.M., C.S., M.R.), Saarland University Hospital, Saarland University, Homburg; and Department of Psychiatry and Psychotherapy (A.K.), Klinikum Rechts der Isar, TU-Muenchen, Munich, Germany
| | - Matthias Riemenschneider
- Luxembourg Centre for Systems Biomedicine (LCSB) (P.M., D.R.B., R.B., J.G.S.), University of Luxembourg, Esch-sur-Alzette; Department of Psychiatry and Psychotherapy (S.P., D.H., M.M., C.S., M.R.), Saarland University Hospital, Saarland University, Homburg; and Department of Psychiatry and Psychotherapy (A.K.), Klinikum Rechts der Isar, TU-Muenchen, Munich, Germany
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Delhalle S, Bode SFN, Balling R, Ollert M, He FQ. A roadmap towards personalized immunology. NPJ Syst Biol Appl 2018; 4:9. [PMID: 29423275 PMCID: PMC5802799 DOI: 10.1038/s41540-017-0045-9] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Revised: 11/29/2017] [Accepted: 12/19/2017] [Indexed: 12/30/2022] Open
Abstract
Big data generation and computational processing will enable medicine to evolve from a "one-size-fits-all" approach to precise patient stratification and treatment. Significant achievements using "Omics" data have been made especially in personalized oncology. However, immune cells relative to tumor cells show a much higher degree of complexity in heterogeneity, dynamics, memory-capability, plasticity and "social" interactions. There is still a long way ahead on translating our capability to identify potentially targetable personalized biomarkers into effective personalized therapy in immune-centralized diseases. Here, we discuss the recent advances and successful applications in "Omics" data utilization and network analysis on patients' samples of clinical trials and studies, as well as the major challenges and strategies towards personalized stratification and treatment for infectious or non-communicable inflammatory diseases such as autoimmune diseases or allergies. We provide a roadmap and highlight experimental, clinical, computational analysis, data management, ethical and regulatory issues to accelerate the implementation of personalized immunology.
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Affiliation(s)
- Sylvie Delhalle
- 1Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29, rue Henri Koch, 4354 Esch-sur-Alzette, Luxembourg
| | - Sebastian F N Bode
- 1Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29, rue Henri Koch, 4354 Esch-sur-Alzette, Luxembourg.,2Center for Pediatrics-Department of General Pediatrics, Adolescent Medicine, and Neonatology, Medical Center, Faculty of Medicine, University of Freiburg, Mathildenstrasse 1, 79106 Freiburg, Germany
| | - Rudi Balling
- 3Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Campus Belval, 6, Avenue du Swing, 4367 Belvaux, Luxembourg
| | - Markus Ollert
- 1Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29, rue Henri Koch, 4354 Esch-sur-Alzette, Luxembourg.,4Department of Dermatology and Allergy Center, Odense Research Center for Anaphylaxis (ORCA), University of Southern Denmark, 5000 Odense C, Denmark
| | - Feng Q He
- 1Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29, rue Henri Koch, 4354 Esch-sur-Alzette, Luxembourg
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Bobbili DR, Lal D, May P, Reinthaler EM, Jabbari K, Thiele H, Nothnagel M, Jurkowski W, Feucht M, Nürnberg P, Lerche H, Zimprich F, Krause R, Neubauer BA, Reinthaler EM, Zimprich F, Feucht M, Steinböck H, Neophytou B, Geldner J, Gruber-Sedlmayr U, Haberlandt E, Ronen GM, Altmüller J, Lal D, Nürnberg P, Sander T, Thiele H, Krause R, May P, Balling R, Lerche H, Neubauer BA. Exome-wide analysis of mutational burden in patients with typical and atypical Rolandic epilepsy. Eur J Hum Genet 2018; 26:258-264. [PMID: 29358611 DOI: 10.1038/s41431-017-0034-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Revised: 09/27/2017] [Accepted: 10/06/2017] [Indexed: 12/30/2022] Open
Abstract
Rolandic epilepsy (RE) is the most common focal epilepsy in childhood. To date no hypothesis-free exome-wide mutational screen has been conducted for RE and atypical RE (ARE). Here we report on whole-exome sequencing of 194 unrelated patients with RE/ARE and 567 ethnically matched population controls. We identified an exome-wide significantly enriched burden for deleterious and loss-of-function variants only for the established RE/ARE gene GRIN2A. The statistical significance of the enrichment disappeared after removing ARE patients. For several disease-related gene-sets, an odds ratio >1 was detected for loss-of-function variants.
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Affiliation(s)
- Dheeraj R Bobbili
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Dennis Lal
- Cologne Center for Genomics, University of Cologne, Cologne, Germany.,Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Patrick May
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Eva M Reinthaler
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Kamel Jabbari
- Cologne Biocenter, Institute for Genetics, University of Cologne, Cologne, Germany
| | - Holger Thiele
- Cologne Center for Genomics, University of Cologne, Cologne, Germany
| | - Michael Nothnagel
- Cologne Center for Genomics, University of Cologne, Cologne, Germany
| | - Wiktor Jurkowski
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.,The Genome Analysis Centre, Norwich, UK
| | - Martha Feucht
- Department of Pediatrics, Medical University of Vienna, Vienna, Austria
| | - Peter Nürnberg
- Cologne Center for Genomics, University of Cologne, Cologne, Germany
| | - Holger Lerche
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Fritz Zimprich
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Roland Krause
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
| | - Bernd A Neubauer
- Department of Neuropediatrics, Medical Faculty University Giessen, Giessen, Germany.
| | - Eva M Reinthaler
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Fritz Zimprich
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Martha Feucht
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, 1090, Vienna, Austria
| | - Hannelore Steinböck
- Private Practice for Pediatrics, St. Anna Children's Hospital, 1150, Vienna, Austria
| | | | - Julia Geldner
- Department of Pediatrics, Hospital SMZ Süd Kaiser-Franz-Josef, 1100, Vienna, Austria
| | | | - Edda Haberlandt
- Department of Pediatrics, Medical University of Innsbruck, 6020, Innsbruck, Austria
| | - Gabriel M Ronen
- Department of Pediatrics, McMaster University, Hamilton, L8N3Z5, ON, Canada
| | - Janine Altmüller
- Cologne Center for Genomics, University of Cologne, Cologne, Germany
| | - Dennis Lal
- Cologne Center for Genomics, University of Cologne, Cologne, Germany
| | - Peter Nürnberg
- Cologne Center for Genomics, University of Cologne, Cologne, Germany
| | - Thomas Sander
- Cologne Center for Genomics, University of Cologne, Cologne, Germany
| | - Holger Thiele
- Cologne Center for Genomics, University of Cologne, Cologne, Germany
| | - Roland Krause
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Patrick May
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Holger Lerche
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Bernd A Neubauer
- Department of Neuropediatrics, Medical Faculty University Giessen, Giessen, Germany
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Altman RB, Balling R, Brinkley JF, Coiera E, Consorti F, Dhansay MA, Geissbuhler A, Hersh W, Kwankam SY, Lorenzi NM, Martin-Sanchez F, Mihalas GI, Shahar Y, Takabayashi K, Wiederhold G. Commentaries on “Informatics and Medicine: From Molecules to Populations”. Methods Inf Med 2018. [DOI: 10.1055/s-0038-1627413] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Summary
Objective:
To discuss interdisciplinary research and education in the context of informatics and medicine by commenting on the paper of Kuhn et al. “Informatics and Medicine: From Molecules to Populations”.
Method:
Inviting an international group of experts in biomedical and health informatics and related disciplines to comment on this paper.
Results and Conclusions:
The commentaries include a wide range of reasoned arguments and original position statements which, while strongly endorsing the educational needs identified by Kuhn et al., also point out fundamental challenges that are very specific to the unusual combination of scientific, technological, personal and social problems characterizing biomedical informatics. They point to the ultimate objectives of managing difficult human health problems, which are unlikely to yield to technological solutions alone. The psychological, societal, and environmental components of health and disease are emphasized by several of the commentators, setting the stage for further debate and constructive suggestions.
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Antunes L, Frasquilho S, Ostaszewski M, Weber J, Longhino L, Antony P, Baumuratov A, Buttini M, Shannon KM, Balling R, Diederich NJ. Similar α-Synuclein staining in the colon mucosa in patients with Parkinson's disease and controls. Mov Disord 2017; 31:1567-1570. [PMID: 27324838 DOI: 10.1002/mds.26702] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [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: 11/19/2015] [Revised: 05/12/2016] [Accepted: 05/13/2016] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND The gut is proposed as a starting point of idiopathic IPD, but the presence of α-synuclein in the IPD colon mucosa is debated. OBJECTIVES The objective of this study was to evaluate if α-synuclein in the colon mucosa can serve as a biomarker of IPD. METHODS Immunohistochemistry was used to locate and quantify in a blinded approach α-synuclein in the mucosa from biopsies of the right and left colon in 19 IPD patients and 8 controls. RESULTS Total α-synuclein was present in all but 1 IPD patients and in all controls; phosphorylated α-synuclein was present in all subjects. There was no intensity difference depending on disease status. Staining of total α-synuclein was stronger in the right colon (p = .04). CONCLUSIONS Conventional immunohistochemistry α-synuclein staining in colon mucosal biopsies cannot serve as a biomarker of idiopathic PD. These findings do not contradict the assumption of disease starting in the colon, and a colon segment-specific risk for disease initiation can still be hypothesized. © 2016 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Laurent Antunes
- Department of Pathology, Integrated Biobank of Luxembourg, Luxembourg-City, Luxembourg
| | - Sonia Frasquilho
- Department of Pathology, Integrated Biobank of Luxembourg, Luxembourg-City, Luxembourg
| | - Marek Ostaszewski
- Department of Pathology, Integrated Biobank of Luxembourg, Luxembourg-City, Luxembourg.,Department of Gastroenterology, Centre Hospitalier de Luxembourg, Luxembourg-City, Luxembourg
| | - Jos Weber
- Luxembourg Centre of Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Laura Longhino
- Department of Neurology, Centre Hospitalier de Luxembourg, Luxembourg-City, Luxembourg
| | - Paul Antony
- Department of Gastroenterology, Centre Hospitalier de Luxembourg, Luxembourg-City, Luxembourg
| | - Aidos Baumuratov
- Department of Gastroenterology, Centre Hospitalier de Luxembourg, Luxembourg-City, Luxembourg
| | - Manuel Buttini
- Department of Gastroenterology, Centre Hospitalier de Luxembourg, Luxembourg-City, Luxembourg
| | - Kathleen M Shannon
- Department of Neurological Sciences, Rush University, Chicago, Illinois, USA
| | - Rudi Balling
- Department of Gastroenterology, Centre Hospitalier de Luxembourg, Luxembourg-City, Luxembourg
| | - Nico J Diederich
- Department of Gastroenterology, Centre Hospitalier de Luxembourg, Luxembourg-City, Luxembourg. .,Department of Neurology, Centre Hospitalier de Luxembourg, Luxembourg-City, Luxembourg.
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46
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Niturad CE, Lev D, Kalscheuer VM, Charzewska A, Schubert J, Lerman-Sagie T, Kroes HY, Oegema R, Traverso M, Specchio N, Lassota M, Chelly J, Bennett-Back O, Carmi N, Koffler-Brill T, Iacomino M, Trivisano M, Capovilla G, Striano P, Nawara M, Rzonca S, Fischer U, Bienek M, Jensen C, Hu H, Thiele H, Altmüller J, Krause R, May P, Becker F, Balling R, Biskup S, Haas SA, Nürnberg P, van Gassen KLI, Lerche H, Zara F, Maljevic S, Leshinsky-Silver E. Rare GABRA3 variants are associated with epileptic seizures, encephalopathy and dysmorphic features. Brain 2017; 140:2879-2894. [PMID: 29053855 DOI: 10.1093/brain/awx236] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Accepted: 07/26/2017] [Indexed: 11/15/2022]
Abstract
Genetic epilepsies are caused by mutations in a range of different genes, many of them encoding ion channels, receptors or transporters. While the number of detected variants and genes increased dramatically in the recent years, pleiotropic effects have also been recognized, revealing that clinical syndromes with various degrees of severity arise from a single gene, a single mutation, or from different mutations showing similar functional defects. Accordingly, several genes coding for GABAA receptor subunits have been linked to a spectrum of benign to severe epileptic disorders and it was shown that a loss of function presents the major correlated pathomechanism. Here, we identified six variants in GABRA3 encoding the α3-subunit of the GABAA receptor. This gene is located on chromosome Xq28 and has not been previously associated with human disease. Five missense variants and one microduplication were detected in four families and two sporadic cases presenting with a range of epileptic seizure types, a varying degree of intellectual disability and developmental delay, sometimes with dysmorphic features or nystagmus. The variants co-segregated mostly but not completely with the phenotype in the families, indicating in some cases incomplete penetrance, involvement of other genes, or presence of phenocopies. Overall, males were more severely affected and there were three asymptomatic female mutation carriers compared to only one male without a clinical phenotype. X-chromosome inactivation studies could not explain the phenotypic variability in females. Three detected missense variants are localized in the extracellular GABA-binding NH2-terminus, one in the M2-M3 linker and one in the M4 transmembrane segment of the α3-subunit. Functional studies in Xenopus laevis oocytes revealed a variable but significant reduction of GABA-evoked anion currents for all mutants compared to wild-type receptors. The degree of current reduction correlated partially with the phenotype. The microduplication disrupted GABRA3 expression in fibroblasts of the affected patient. In summary, our results reveal that rare loss-of-function variants in GABRA3 increase the risk for a varying combination of epilepsy, intellectual disability/developmental delay and dysmorphic features, presenting in some pedigrees with an X-linked inheritance pattern.
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Affiliation(s)
- Cristina Elena Niturad
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Dorit Lev
- Institute of Medical Genetics, Wolfson Medical Center, Holon, Israel.,Metabolic-Neurogenetic Clinic, Wolfson Medical Center, Holon, Israel.,Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Vera M Kalscheuer
- Department of Human Molecular Genetics, Max Planck Institute for Molecular Genetics, Berlin, Germany.,Research Group Development and Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Agnieszka Charzewska
- Institute of Mother and Child, Department of Medical Genetics, Kasprzaka 17A, 01-211 Warsaw, Poland
| | - Julian Schubert
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.,Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Luxembourg
| | - Tally Lerman-Sagie
- Metabolic-Neurogenetic Clinic, Wolfson Medical Center, Holon, Israel.,Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Pediatric Neurology Unit, Wolfson Medical Center, Holon, Israel
| | - Hester Y Kroes
- Department of Genetics, University Medical Center Utrecht, 3508 AB, The Netherlands
| | - Renske Oegema
- Department of Genetics, University Medical Center Utrecht, 3508 AB, The Netherlands
| | - Monica Traverso
- Laboratory of Neurogenetics and Neuroscience, Institute G. Gaslini, Genova, Italy
| | - Nicola Specchio
- Neurology Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Maria Lassota
- Genetic Clinic, Hetmanska 21, 35-045 Rzeszów, Poland
| | | | | | - Nirit Carmi
- Metabolic-Neurogenetic Clinic, Wolfson Medical Center, Holon, Israel.,Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Department of Genetics, University Medical Center Utrecht, 3508 AB, The Netherlands
| | - Tal Koffler-Brill
- Molecular Genetics Laboratory, Wolfson Medical Center, Holon, Israel
| | - Michele Iacomino
- Laboratory of Neurogenetics and Neuroscience, Institute G. Gaslini, Genova, Italy
| | - Marina Trivisano
- Neurology Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Giuseppe Capovilla
- Epilepsy Center, Department of Child Neuropsychiatry, C. Poma Hospital, Mantova, Italy
| | - Pasquale Striano
- Pediatric Neurology and Muscular Diseases Unit, Department of Neurosciences, Rehabilitation, Ophtalmology, Genetics, Maternal and Child Health, Institute G. Gaslini, Genoa, Italy
| | - Magdalena Nawara
- Institute of Mother and Child, Department of Medical Genetics, Kasprzaka 17A, 01-211 Warsaw, Poland
| | - Sylwia Rzonca
- Institute of Mother and Child, Department of Medical Genetics, Kasprzaka 17A, 01-211 Warsaw, Poland
| | - Ute Fischer
- Department of Human Molecular Genetics, Max Planck Institute for Molecular Genetics, Berlin, Germany.,Research Group Development and Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Melanie Bienek
- Department of Human Molecular Genetics, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Corinna Jensen
- Department of Human Molecular Genetics, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Hao Hu
- Department of Human Molecular Genetics, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Holger Thiele
- Cologne Center for Genomics, Universität zu Köln, Köln, Germany
| | - Janine Altmüller
- Cologne Center for Genomics, Universität zu Köln, Köln, Germany.,Institute of Human Genetics Universitätsklinik, Köln, Germany
| | - Roland Krause
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Luxembourg
| | - Patrick May
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Luxembourg
| | - Felicitas Becker
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | | | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Luxembourg
| | | | - Stefan A Haas
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Peter Nürnberg
- Cologne Center for Genomics, Universität zu Köln, Köln, Germany
| | - Koen L I van Gassen
- Department of Genetics, University Medical Center Utrecht, 3508 AB, The Netherlands
| | - Holger Lerche
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Federico Zara
- Laboratory of Neurogenetics and Neuroscience, Institute G. Gaslini, Genova, Italy
| | - Snezana Maljevic
- Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Esther Leshinsky-Silver
- Institute of Medical Genetics, Wolfson Medical Center, Holon, Israel.,Metabolic-Neurogenetic Clinic, Wolfson Medical Center, Holon, Israel.,Molecular Genetics Laboratory, Wolfson Medical Center, Holon, Israel
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47
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Marini C, Hardies K, Pisano T, May P, Weckhuysen S, Cellini E, Suls A, Mei D, Balling R, Jonghe PD, Helbig I, Garozzo D, Guerrini R. Recessive mutations in SLC35A3 cause early onset epileptic encephalopathy with skeletal defects. Am J Med Genet A 2017; 173:1119-1123. [PMID: 28328131 DOI: 10.1002/ajmg.a.38112] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [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: 08/16/2016] [Revised: 10/28/2016] [Accepted: 12/09/2016] [Indexed: 11/08/2022]
Abstract
We describe the clinical and whole genome sequencing (WGS) study of a non-consanguineous Italian family in which two siblings, a boy and a girl, manifesting a severe epileptic encephalopathy (EE) with skeletal abnormalities, carried novel SLC35A3 compound heterozygous mutations. Both siblings exhibited infantile spasms, associated with focal, and tonic vibratory seizures from early infancy. EEG recordings showed a suppression-burst (SB) pattern and multifocal paroxysmal activity in both. In addition both had quadriplegia, acquired microcephaly, and severe intellectual disability. General examination showed distal arthrogryposis predominant in the hands in both siblings and severe left dorso-lumbar convex scoliosis in one. WGS of the siblings-parents quartet identified novel compound heterozygous mutations in SLC35A3 in both children. SLC35A3 encodes the major Golgi uridine diphosphate N-acetylglucosamine transporter. With this study, we add SLC35A3 to the gene list of epilepsies. Neurological symptoms and skeletal abnormalities might result from impaired glycosylation of proteins involved in normal development and function of the central nervous system and skeletal apparatus.
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Affiliation(s)
- Carla Marini
- Neurology Unit and Neurogenetics Laboratories, Meyer Children Hospital, Florence, Italy
| | - Katia Hardies
- Neurogenetics Group, VIB-Department of Molecular Genetics, University of Antwerp, Antwerp, Belgium.,Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Tiziana Pisano
- Neurology Unit and Neurogenetics Laboratories, Meyer Children Hospital, Florence, Italy
| | - Patrick May
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Luxembourg, Luxembourg.,Institute for Systems Biology (ISB), Seattle, Washington
| | - Sarah Weckhuysen
- Neurogenetics Group, VIB-Department of Molecular Genetics, University of Antwerp, Antwerp, Belgium.,Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Elena Cellini
- Neurology Unit and Neurogenetics Laboratories, Meyer Children Hospital, Florence, Italy
| | - Arvid Suls
- Neurogenetics Group, VIB-Department of Molecular Genetics, University of Antwerp, Antwerp, Belgium.,Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Davide Mei
- Neurology Unit and Neurogenetics Laboratories, Meyer Children Hospital, Florence, Italy
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Luxembourg, Luxembourg
| | - Peter D Jonghe
- Neurogenetics Group, VIB-Department of Molecular Genetics, University of Antwerp, Antwerp, Belgium.,Laboratory of Neurogenetics, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium.,Division of Neurology, Antwerp University Hospital, Antwerp, Belgium
| | - Ingo Helbig
- Department of Neuropediatrics, University Medical Center Schleswig-Holstein, Christian-Albrechts University, Kiel, Germany.,Division of Neurology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Domenico Garozzo
- CNR, Institute of Chemistry and Technology of Polymers, Section of Catania, Catania, Italy
| | | | - Renzo Guerrini
- Neurology Unit and Neurogenetics Laboratories, Meyer Children Hospital, Florence, Italy.,University of Florence, Florence, Italy
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48
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Hartl D, May P, Gu W, Mayhaus M, Glaab E, Antony P, Bobbili D, Koeglsberger S, Pichler S, Spaniol C, Kurz A, Balling R, Schneider J, Riemenschneider M. [P2–108]: IDENTIFICATION OF A RARE GENE VARIANT THAT IS ASSOCIATED WITH FAMILIAL ALZHEIMER DISEASE AND REGULATES APP EXPRESSION. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.06.758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
| | - Patrick May
- Luxembourg Centre for Systems BiomedicineEsch‐sur‐AlzetteLuxembourg
- Institute for Systems BiologySeattleWAUSA
| | - Wei Gu
- Luxembourg Centre for Systems BiomedicineEsch‐sur‐AlzetteLuxembourg
| | | | - Enrico Glaab
- Luxembourg Centre for Systems BiomedicineEsch‐sur‐AlzetteLuxembourg
| | - Paul Antony
- Luxembourg Centre for Systems BiomedicineEsch‐sur‐AlzetteLuxembourg
| | - Dheeraj Bobbili
- Luxembourg Centre for Systems BiomedicineEsch‐sur‐AlzetteLuxembourg
| | | | | | | | - Alexander Kurz
- Klinikum Rechts der IsarTechische Universitaet MuenchenMunichGermany
| | - Rudi Balling
- Luxembourg Centre for Systems BiomedicineEsch‐sur‐AlzetteLuxembourg
| | - Jochen Schneider
- Luxembourg Centre for Systems BiomedicineEsch‐sur‐AlzetteLuxembourg
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49
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Oliveira MAP, Balling R, Smidt MP, Fleming RMT. Embryonic development of selectively vulnerable neurons in Parkinson's disease. NPJ Parkinsons Dis 2017; 3:21. [PMID: 28685157 PMCID: PMC5484687 DOI: 10.1038/s41531-017-0022-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2016] [Revised: 05/24/2017] [Accepted: 06/01/2017] [Indexed: 02/07/2023] Open
Abstract
A specific set of brainstem nuclei are susceptible to degeneration in Parkinson's disease. We hypothesise that neuronal vulnerability reflects shared phenotypic characteristics that confer selective vulnerability to degeneration. Neuronal phenotypic specification is mainly the cumulative result of a transcriptional regulatory program that is active during the development. By manual curation of the developmental biology literature, we comprehensively reconstructed an anatomically resolved cellular developmental lineage for the adult neurons in five brainstem regions that are selectively vulnerable to degeneration in prodromal or early Parkinson's disease. We synthesised the literature on transcription factors that are required to be active, or required to be inactive, in the development of each of these five brainstem regions, and at least two differentially vulnerable nuclei within each region. Certain transcription factors, e.g., Ascl1 and Lmx1b, seem to be required for specification of many brainstem regions that are susceptible to degeneration in early Parkinson's disease. Some transcription factors can even distinguish between differentially vulnerable nuclei within the same brain region, e.g., Pitx3 is required for specification of the substantia nigra pars compacta, but not the ventral tegmental area. We do not suggest that Parkinson's disease is a developmental disorder. In contrast, we consider identification of shared developmental trajectories as part of a broader effort to identify the molecular mechanisms that underlie the phenotypic features that are shared by selectively vulnerable neurons. Systematic in vivo assessment of fate determining transcription factors should be completed for all neuronal populations vulnerable to degeneration in early Parkinson's disease.
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Affiliation(s)
- Miguel A. P. Oliveira
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 6 Avenue du Swing, Belvaux, L-4362 Luxembourg
| | - Rudi Balling
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 6 Avenue du Swing, Belvaux, L-4362 Luxembourg
| | - Marten P. Smidt
- Department of Molecular Neuroscience, Center for Neuroscience, Swammerdam Institute for Life Sciences, University of Amsterdam, Sciencepark 904, 1098 XH Amsterdam, The Netherlands
| | - Ronan M. T. Fleming
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 6 Avenue du Swing, Belvaux, L-4362 Luxembourg
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50
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Santiago-Sim T, Burrage LC, Ebstein F, Tokita MJ, Miller M, Bi W, Braxton AA, Rosenfeld JA, Shahrour M, Lehmann A, Cogné B, Küry S, Besnard T, Isidor B, Bézieau S, Hazart I, Nagakura H, Immken LL, Littlejohn RO, Roeder E, Kara B, Hardies K, Weckhuysen S, May P, Lemke JR, Elpeleg O, Abu-Libdeh B, James KN, Silhavy JL, Issa MY, Zaki MS, Gleeson JG, Seavitt JR, Dickinson ME, Ljungberg MC, Wells S, Johnson SJ, Teboul L, Eng CM, Yang Y, Kloetzel PM, Heaney JD, Walkiewicz MA, Afawi Z, Balling R, Barisic N, Baulac S, Craiu D, De Jonghe P, Guerrero-Lopez R, Guerrini R, Helbig I, Hjalgrim H, Jähn J, Klein KM, Leguern E, Lerche H, Marini C, Muhle H, Rosenow F, Serratosa J, Sterbová K, Suls A, Moller RS, Striano P, Weber Y, Zara F. Biallelic Variants in OTUD6B Cause an Intellectual Disability Syndrome Associated with Seizures and Dysmorphic Features. Am J Hum Genet 2017; 100:676-688. [PMID: 28343629 DOI: 10.1016/j.ajhg.2017.03.001] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Accepted: 02/21/2017] [Indexed: 10/19/2022] Open
Abstract
Ubiquitination is a posttranslational modification that regulates many cellular processes including protein degradation, intracellular trafficking, cell signaling, and protein-protein interactions. Deubiquitinating enzymes (DUBs), which reverse the process of ubiquitination, are important regulators of the ubiquitin system. OTUD6B encodes a member of the ovarian tumor domain (OTU)-containing subfamily of deubiquitinating enzymes. Herein, we report biallelic pathogenic variants in OTUD6B in 12 individuals from 6 independent families with an intellectual disability syndrome associated with seizures and dysmorphic features. In subjects with predicted loss-of-function alleles, additional features include global developmental delay, microcephaly, absent speech, hypotonia, growth retardation with prenatal onset, feeding difficulties, structural brain abnormalities, congenital malformations including congenital heart disease, and musculoskeletal features. Homozygous Otud6b knockout mice were subviable, smaller in size, and had congenital heart defects, consistent with the severity of loss-of-function variants in humans. Analysis of peripheral blood mononuclear cells from an affected subject showed reduced incorporation of 19S subunits into 26S proteasomes, decreased chymotrypsin-like activity, and accumulation of ubiquitin-protein conjugates. Our findings suggest a role for OTUD6B in proteasome function, establish that defective OTUD6B function underlies a multisystemic human disorder, and provide additional evidence for the emerging relationship between the ubiquitin system and human disease.
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