NeurOmics website

NeurOmics website

Integrated European Project on Omics Research of
Rare Neuromuscular and Neurodegenerative Diseases
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      • Ataxia
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      • 1 – Deep phenotype analysis in pre-symptomatic and symptomatic NDD/NMD patients
      • 2 – Identification of novel disease genes in NDD/NMD patients
      • 3 – Identification of modifying factors in cohorts enriched by deep phenotyping
      • 4 – Identification of hypothesis-driven biomarkers for disease progression
      • 5 – Development and implementation of disease group overlapping NGS-based diagnostic panels
      • 6 – Diagnostic read outs for predicting disease modification
      • 7 – Omics-based biomarkers for progression and therapy monitoring related to disease pathways
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      • 9 – Omics-assisted therapy development
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      • 11 – Modifier gene identification, prioritization and study
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      • Agilent Technologies
      • Ariadne Diagnostics, LLC
      • Bio-Prodict
      • Cambridge University
      • deCODE genetics
      • German Center for Neurodegenerative Diseases (DZNE)
      • Institut National de la Santé et de la Recherche Médicale
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      • Leiden University Medical Center – LUMC
      • Newcastle University
      • Profilomic
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  • Publication highlights
    • Publication highlights
      • 229th ENMC international workshop: Limb girdle muscular dystrophies – nomenclature and reformed classification, 17-19 March 2017, Naarden, The Netherlands

        Volker Straub, Alexander Murphy, Bjarne Udd


        Survival in patients with spinocerebellar ataxia types 1, 2, 3, and 6 (EUROSCA): a longitudinal cohort study

        Alhassane Diallo, Heike Jacobi, Arron Cook, Robyn Labrum, Prof Alexandra Durr, Prof Alexis Brice, Perrine Charles, Cecilia Marelli, Caterina Mariotti, Lorenzo Nanetti, Marta Panzeri, Maria Rakowicz, Anna Sobanska, Anna Sulek, Tanja Schmitz-Hübsch, Ludger Schöls, Holger Hengel, Prof Bela Melegh, Prof Alessandro Filla, Antonella Antenora, Jon Infante, Prof José Berciano, Bart P van de Warrenburg, Dagmar Timmann, Sylvia Boesch, Prof Massimo Pandolfo, Prof Jörg B Schulz, Peter Bauer, Paola Giunti, Jun-Suk Kang, Prof Thomas Klockgether, Sophie Tezenas du Montcel


        Recessive variants of MuSK are associated with late onset CMS and predominant limb girdle weakness

        David Owen, Ana Töpf, Veeramani Preethish‐Kumar, Paolo José Lorenzoni, Bas Vroling, Rosana Herminia Scola, Elza Dias‐Tosta, Argemiro Geraldo, Kiran Polavarapu, Saraswati Nashi, Daniel Cox, Teresinha Evangelista, John Dawson, Rachel Thompson, Jan Senderek, Steven Laurie, Sergi Beltran, Marta Gut, Ivo Gut, Atchayaram Nalini, Hanns Lochmüller


        RD-Connect, NeurOmics and EURenOmics: collaborative European initiative for rare diseases

        Hanns Lochmüller, Dorota M. Badowska, Rachel Thompson, Nine V. Knoers, Annemieke Aartsma-Rus, Ivo Gut, Libby Wood, Tina Harmuth, Andre Durudas, Holm Graessner, Franz Schaefer, Olaf Riess, RD-Connect consortium, NeurOmics consortium & EURenOmics consortium


        The Beta-Adrenergic Agonist Salbutamol Modulates Neuromuscular Junction Formation in Zebrafish Models of Human Myasthenic Syndromes

        Grace McMacken, Dan Cox, Andreas Roos, Juliane Müller, Roger Whittaker, Hanns Lochmüller


        Rare non-synonymous variants in SORT1 are associated with increased risk for frontotemporal dementia

        Stéphanie Philtjens, Sara Van Mossevelde, Julie van der Zee, Eline Wauters, Lubina Dillen, Mathieu Vandenbulcke, Rik Vandenberghe, Adrian Ivanoiu, Anne Sieben, Christiana Willems, Luisa Benussi, Roberta Ghidoni, Giuliano Binetti, Barbara Borroni, Alessandro Padovani, Pau Pastor, Monica Diez-Fairen, Miquel Aguilar, Alexandre de Mendonça, Gabriel Miltenberger-Miltényi, Isabel Hernández, Merce Boada, Agustín Ruiz, Benedetta Nacmiass, Sandro Sorbi, Maria Rosário Almeida, Isabel Santana, Jordi Clarimón, Alberto Lleó, Giovanni B. Frisoni, Raquel Sanchez-Valle, Albert Lladó, Estrella Gómez-Tortosa, Ellen Gelpi, Marleen Van den Broeck, Karin Peeters, Patrick Cras, Peter P. De Deyn, Sebastiaan Engelborghs, Marc Cruts, Christine Van


        PFN2 and GAMT as common molecular determinants of axonal Charcot-Marie-Tooth disease

        Manisha Juneja, Abdelkrim Azmi, Jonathan Baets, Andreas Roos, Matthew J Jennings, Paola Saveri, Chiara Pisciotta, Nathalie Bernard-Marissal, Bernard L Schneider, Catherine Verfaillie, Roman Chrast, Pavel Seeman, Angelika F Hahn, Peter de Jonghe, Stuart Maudsley, Rita Horvath, Davide Pareyson, Vincent Timmerman


        Cross-sectional serum metabolomic study of multiple forms of muscular dystrophy

        Pietro Spitali, Kristina Hettne, Roula Tsonaka, Ekrem Sabir, Alexandre Seyer, Jesse B.A. Hemerik, Jelle J. Goeman, Esther Picillo, Manuela Ergoli, Luisa Politano, Annemieke Aartsma-Rus


        Harmonising phenomics information for a better interoperability in the rare disease field

        Sylvie Maiellaa, Annie Olrya, Marc Hanauera, Valérie Lanneaua, Halima Lourghia, Bruno Donadillea, Charlotte Rodwella, Sebastian Köhlerc, Dominik Seelowc, Simon Juppe, Helen Parkinsone, Tudor Grozaf, Michael Brudnod, Peter N. Robinsonb, Ana Ratha


        A common CHRNE mutation in Brazilian patients with congenital myasthenic syndrome

        Eduardo de Paula Estephan, Cláudia Ferreira da Rosa Sobreira, André Clériston José dos Santos, Pedro José Tomaselli, Wilson MarquesJr., Roberta Paiva Magalhães Ortega, Marcela Câmara Machado Costa, André Macedo Serafim da Silva, Rodrigo Holanda Mendonça, Vitor Marques Caldas, Antonio Alberto Zambon, Osório Abath Neto, Paulo Eurípedes Marchiori, Carlos Otto Heise, Umbertina Conti Reed, Yoshiteru Azuma, Ana Töpf, Hanns Lochmüller, Edmar Zanoteli


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Tracking disease progression non‐invasively in Duchenne and Becker muscular dystrophies

Authors

Pietro Spitali, Kristina Hettne, Roula Tsonaka, Mohammed Charrout, Janneke van den Bergen, Zaïda Koeks, Hermien E. Kan, Melissa T. Hooijmans, Andreas Roos, Volker Straub, Francesco Muntoni,
Cristina Al‐Khalili‐Szigyarto, Marleen J.A. Koel‐Simmelink, Charlotte E. Teunissen, Hanns Lochmüller, Erik H. Niks, Annemieke Aartsma‐Rus

Journal

The Journal of Cachexia, Sarcopenia and Muscle,

Publication date

April 2018

Abstract

Background
Analysis of muscle biopsies allowed to characterize the pathophysiological changes of Duchenne and Becker muscular dystrophies (D/BMD) leading to the clinical phenotype. Muscle tissue is often investigated during interventional dose finding studies to show in situ proof of concept and pharmacodynamics effect of the tested drug. Less invasive readouts are needed to objectively monitor patients' health status, muscle quality, and response to treatment. The identification of serum biomarkers correlating with clinical function and able to anticipate functional scales is particularly needed for personalized patient management and to support drug development programs.

Methods
A large‐scale proteomic approach was used to identify serum biomarkers describing pathophysiological changes (e.g. loss of muscle mass), association with clinical function, prediction of disease milestones, association with in vivo 31P magnetic resonance spectroscopy data and dystrophin levels in muscles. Cross‐sectional comparisons were performed to compare DMD patients, BMD patients, and healthy controls. A group of DMD patients was followed up for a median of 4.4 years to allow monitoring of individual disease trajectories based on yearly visits.

Results
Cross‐sectional comparison enabled to identify 10 proteins discriminating between healthy controls, DMD and BMD patients. Several proteins (285) were able to separate DMD from healthy, while 121 proteins differentiated between BMD and DMD; only 13 proteins separated BMD and healthy individuals. The concentration of specific proteins in serum was significantly associated with patients' performance (e.g. BMP6 serum levels and elbow flexion) or dystrophin levels (e.g. TIMP2) in BMD patients. Analysis of longitudinal trajectories allowed to identify 427 proteins affected over time indicating loss of muscle mass, replacement of muscle by adipose tissue, and cardiac involvement. Over‐representation analysis of longitudinal data allowed to highlight proteins that could be used as pharmacodynamic biomarkers for drugs currently in clinical development.

Conclusions
Serum proteomic analysis allowed to not only discriminate among DMD, BMD, and healthy subjects, but it enabled to detect significant associations with clinical function, dystrophin levels, and disease progression.

DOI link

10.1002/jcsm.12304

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The NeurOmics project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 2012-305121.

 
   

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