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Hanon O, Vidal JS, Lehmann S, Bombois S, Allinquant B, Baret-Rose C, Tréluyer JM, Abdoul H, Gelé P, Delmaire C, Blanc F, Mangin JF, Buée L, Touchon J, Hugon J, Vellas B, Galbrun E, Benetos A, Berrut G, Paillaud E, Wallon D, Castelnovo G, Volpe-Gillot L, Paccalin M, Robert P, Godefroy O, Camus V, Belmin J, Vandel P, Novella JL, Duron E, Rigaud AS, Schraen-Maschke S, Gabelle A. Plasma amyloid beta predicts conversion to dementia in subjects with mild cognitive impairment: The BALTAZAR study. Alzheimers Dement 2022; 18:2537-2550. [PMID: 35187794 DOI: 10.1002/alz.12613] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 10/20/2021] [Accepted: 12/10/2021] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Blood-based biomarkers are the next challenge for Alzheimer's disease (AD) diagnosis and prognosis. METHODS Mild cognitive impairment (MCI) participants (N = 485) of the BALTAZAR study, a large-scale longitudinal multicenter cohort, were followed-up for 3 years. A total of 165 of them converted to dementia (95% AD). Associations of conversion and plasma amyloid beta (Aβ)1-42 , Aβ1-40 , Aβ1-42 /Aβ1-40 ratio were analyzed with logistic and Cox models. RESULTS Converters to dementia had lower level of plasma Aβ1-42 (37.1 pg/mL [12.5] vs. 39.2 [11.1] , P value = .03) and lower Aβ1-42 /Aβ1-40 ratio than non-converters (0.148 [0.125] vs. 0.154 [0.076], P value = .02). MCI participants in the highest quartile of Aβ1-42 /Aβ1-40 ratio (>0.169) had a significant lower risk of conversion (hazard ratio adjusted for age, sex, education, apolipoprotein E ε4, hippocampus atrophy = 0.52 (95% confidence interval [0.31-0.86], P value = .01). DISCUSSION In this large cohort of MCI subjects we identified a threshold for plasma Aβ1-42 /Aβ1-40 ratio that may detect patients with a low risk of conversion to dementia within 3 years.
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Affiliation(s)
- Olivier Hanon
- Memory Resource and Research Centre of de Paris-Broca-Ile de France, Université de Paris, EA 4468, APHP, Hopital Broca, Paris, France
| | - Jean-Sébastien Vidal
- Memory Resource and Research Centre of de Paris-Broca-Ile de France, Université de Paris, EA 4468, APHP, Hopital Broca, Paris, France
| | - Sylvain Lehmann
- CHU Montpellier, LBPC, Inserm, Université de Montpellier, Montpellier, France
| | - Stéphanie Bombois
- CHU Lille, U1172-LilNCog, LiCEND, LabEx DISTALZ, Université de Lille, Inserm, Lille, France
| | - Bernadette Allinquant
- UMR-S 1266, Université de Paris, Institute of Psychiatric and Neurosciences, Inserm, Paris, France
| | - Christiane Baret-Rose
- UMR-S 1266, Université de Paris, Institute of Psychiatric and Neurosciences, Inserm, Paris, France
| | - Jean-Marc Tréluyer
- Clinical Research Unit, Université de Paris, APHP, Hôpital Necker, Paris, France
| | - Hendy Abdoul
- Clinical Research Unit, Université de Paris, APHP, Hôpital Necker, Paris, France
| | - Patrick Gelé
- CHU Lille, CRB/CIC1403, Université de Lille, Inserm, Lille, France
| | - Christine Delmaire
- CHU Lille, U1172-LilNCog, LiCEND, LabEx DISTALZ, Université de Lille, Inserm, Lille, France
| | - Fredéric Blanc
- CM2R, pôle de Gériatrie, Laboratoire ICube, FMTS, CNRS, équipe IMIS, Université de Strasbourg, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Jean-François Mangin
- Neurospin, CEA, CNRS, cati-neuroimaging.com, CATI Multicenter Neuroimaging Platform, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Luc Buée
- CHU Lille, U1172-LilNCog, LiCEND, LabEx DISTALZ, Université de Lille, Inserm, Lille, France
| | - Jacques Touchon
- Department of Neurology, Memory Research and Resources Center of Montpellier, Inserm INM NeuroPEPs Team, Excellence Center of Neurodegenerative Disorders, Université de Montpellier, CHU Montpellier, Montpellier, France
| | - Jacques Hugon
- APHP, Groupe Hospitalier Saint Louis-Lariboisière Fernand Widal, Center of Cognitive Neurology, Université de Paris, Paris, France
| | - Bruno Vellas
- Memory Resource and Research Centre of Midi-Pyrénées, Université de Toulouse III, CHU La Grave-Casselardit, Toulouse, France
| | - Evelyne Galbrun
- Department of Gérontology 2, Sorbonne Université, APHP, Centre Hospitalier Dupuytren, Draveil, France
| | - Athanase Benetos
- Memory Resource and Research Centre of Lorraine, Université de Lorraine, CHRU de Nancy, Vandoeuvre-lès-Nancy, France
| | - Gilles Berrut
- Department of Clinical Gerontology, Memory Research Resource Center of Nantes, Université de Nantes, EA 4334 Movement-Interactions-Performance, CHU Nantes, Nantes, France
| | - Elena Paillaud
- Service de Gériatrie, Université de Paris, APHP, Hôpital Europeen Georges Pompidou, Paris, France
| | - David Wallon
- CHU de Rouen, Department of Neurology and CNR-MAJ, Normandy Center for Genomic and Personalized Medicine, CIC-CRB1404, Normandie Univ, UNIROUEN, Inserm U1245, Rouen, France
| | | | - Lisette Volpe-Gillot
- Service de Neuro-Psycho-Gériatrie, Memory Clinic, Hôpital Léopold Bellan, Paris, France
| | - Marc Paccalin
- Memory Resource and Research Centre of Poitiers, CHU de Poitiers, Poitiers, France
| | - Philippe Robert
- Memory Research Resource Center of Nice, CoBTek lab, Université Côte d'Azur, CHU de Nice, Nice, France
| | - Olivier Godefroy
- Memory Resource and Research Centre of Amiens Picardie, CHU d'Amiens-Picardie, Amiens, France
| | - Vincent Camus
- CHRU de Tours, UMR Inserm U1253, Université François-Rabelais de Tours, Tours, France
| | - Joël Belmin
- Service de Gériatrie Ambulatoire, Sorbonne Université, APHP, Hôpitaux Universitaires Pitie-Salpêtrière-Charles Foix, Paris, France
| | - Pierre Vandel
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive, CHU de Besançon, Memory Resource and Research Centre of Besançon Franche-Comté, Université Bourgogne Franche-Comté, Besançon, France
| | - Jean-Luc Novella
- Memory Resource and Research Centre of Champagne-Ardenne, Université de Reims Champagne-Ardenne, EA 3797, CHU de Reims, Reims, France
| | - Emmanuelle Duron
- Département de gériatrie, Équipe MOODS, Inserm 1178, Université Paris-Saclay, APHP, Hôpital Paul Brousse, Villejuif, France
| | - Anne-Sophie Rigaud
- Memory Resource and Research Centre of de Paris-Broca-Ile de France, Université de Paris, EA 4468, APHP, Hopital Broca, Paris, France
| | | | - Audrey Gabelle
- Department of Neurology, Memory Research and Resources Center of Montpellier, Inserm INM NeuroPEPs Team, Excellence Center of Neurodegenerative Disorders, Université de Montpellier, CHU Montpellier, Montpellier, France
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Piguet F, de Saint Denis T, Audouard E, Beccaria K, André A, Wurtz G, Schatz R, Alves S, Sevin C, Zerah M, Cartier N. The Challenge of Gene Therapy for Neurological Diseases: Strategies and Tools to Achieve Efficient Delivery to the Central Nervous System. Hum Gene Ther 2021; 32:349-374. [PMID: 33167739 DOI: 10.1089/hum.2020.105] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
For more than 10 years, gene therapy for neurological diseases has experienced intensive research growth and more recently therapeutic interventions for multiple indications. Beneficial results in several phase 1/2 clinical studies, together with improved vector technology have advanced gene therapy for the central nervous system (CNS) in a new era of development. Although most initial strategies have focused on orphan genetic diseases, such as lysosomal storage diseases, more complex and widespread conditions like Alzheimer's disease, Parkinson's disease, epilepsy, or chronic pain are increasingly targeted for gene therapy. Increasing numbers of applications and patients to be treated will require improvement and simplification of gene therapy protocols to make them accessible to the largest number of affected people. Although vectors and manufacturing are a major field of academic research and industrial development, there is a growing need to improve, standardize, and simplify delivery methods. Delivery is the major issue for CNS therapies in general, and particularly for gene therapy. The blood-brain barrier restricts the passage of vectors; strategies to bypass this obstacle are a central focus of research. In this study, we present the different ways that can be used to deliver gene therapy products to the CNS. We focus on results obtained in large animals that have allowed the transfer of protocols to human patients and have resulted in the generation of clinical data. We discuss the different routes of administration, their advantages, and their limitations. We describe techniques, equipment, and protocols and how they should be selected for safe delivery and improved efficiency for the next generation of gene therapy trials for CNS diseases.
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Affiliation(s)
- Françoise Piguet
- NeuroGenCell, INSERM U1127, Paris Brain Institute (ICM), Sorbonne University, CNRS, AP-HP, University Hospital Pitié-Salpêtrière, Paris, France
| | - Timothée de Saint Denis
- NeuroGenCell, INSERM U1127, Paris Brain Institute (ICM), Sorbonne University, CNRS, AP-HP, University Hospital Pitié-Salpêtrière, Paris, France.,APHP, Department of Pediatric Neurosurgery, Hôpital Necker-Enfants Malades, APHP Centre. Université de Paris, Paris, France
| | - Emilie Audouard
- NeuroGenCell, INSERM U1127, Paris Brain Institute (ICM), Sorbonne University, CNRS, AP-HP, University Hospital Pitié-Salpêtrière, Paris, France
| | - Kevin Beccaria
- NeuroGenCell, INSERM U1127, Paris Brain Institute (ICM), Sorbonne University, CNRS, AP-HP, University Hospital Pitié-Salpêtrière, Paris, France.,APHP, Department of Pediatric Neurosurgery, Hôpital Necker-Enfants Malades, APHP Centre. Université de Paris, Paris, France
| | - Arthur André
- NeuroGenCell, INSERM U1127, Paris Brain Institute (ICM), Sorbonne University, CNRS, AP-HP, University Hospital Pitié-Salpêtrière, Paris, France.,APHP, Department of Neurosurgery, Hôpitaux Universitaires La Pitié-Salpêtrière, Sorbonne Universités, UPMC Univ Paris 6, Paris, France
| | - Guillaume Wurtz
- NeuroGenCell, INSERM U1127, Paris Brain Institute (ICM), Sorbonne University, CNRS, AP-HP, University Hospital Pitié-Salpêtrière, Paris, France
| | - Raphael Schatz
- NeuroGenCell, INSERM U1127, Paris Brain Institute (ICM), Sorbonne University, CNRS, AP-HP, University Hospital Pitié-Salpêtrière, Paris, France
| | - Sandro Alves
- BrainVectis-Askbio France, iPeps Paris Brain Institute, Paris, France
| | - Caroline Sevin
- NeuroGenCell, INSERM U1127, Paris Brain Institute (ICM), Sorbonne University, CNRS, AP-HP, University Hospital Pitié-Salpêtrière, Paris, France.,BrainVectis-Askbio France, iPeps Paris Brain Institute, Paris, France.,APHP, Department of Neurology, Hopital le Kremlin Bicetre, Paris, France
| | - Michel Zerah
- NeuroGenCell, INSERM U1127, Paris Brain Institute (ICM), Sorbonne University, CNRS, AP-HP, University Hospital Pitié-Salpêtrière, Paris, France.,APHP, Department of Pediatric Neurosurgery, Hôpital Necker-Enfants Malades, APHP Centre. Université de Paris, Paris, France
| | - Nathalie Cartier
- NeuroGenCell, INSERM U1127, Paris Brain Institute (ICM), Sorbonne University, CNRS, AP-HP, University Hospital Pitié-Salpêtrière, Paris, France
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García-González L, Pilat D, Baranger K, Rivera S. Emerging Alternative Proteinases in APP Metabolism and Alzheimer's Disease Pathogenesis: A Focus on MT1-MMP and MT5-MMP. Front Aging Neurosci 2019; 11:244. [PMID: 31607898 PMCID: PMC6769103 DOI: 10.3389/fnagi.2019.00244] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Accepted: 08/20/2019] [Indexed: 12/12/2022] Open
Abstract
Processing of amyloid beta precursor protein (APP) into amyloid-beta peptide (Aβ) by β-secretase and γ-secretase complex is at the heart of the pathogenesis of Alzheimer’s disease (AD). Targeting this proteolytic pathway effectively reduces/prevents pathology and cognitive decline in preclinical experimental models of the disease, but therapeutic strategies based on secretase activity modifying drugs have so far failed in clinical trials. Although this may raise some doubts on the relevance of β- and γ-secretases as targets, new APP-cleaving enzymes, including meprin-β, legumain (δ-secretase), rhomboid-like protein-4 (RHBDL4), caspases and membrane-type matrix metalloproteinases (MT-MMPs/η-secretases) have confirmed that APP processing remains a solid mechanism in AD pathophysiology. This review will discuss recent findings on the roles of all these proteinases in the nervous system, and in particular on the roles of MT-MMPs, which are at the crossroads of pathological events involving not only amyloidogenesis, but also inflammation and synaptic dysfunctions. Assessing the potential of these emerging proteinases in the Alzheimer’s field opens up new research prospects to improve our knowledge of fundamental mechanisms of the disease and help us establish new therapeutic strategies.
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Affiliation(s)
| | - Dominika Pilat
- Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, Marseille, France
| | - Kévin Baranger
- Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, Marseille, France
| | - Santiago Rivera
- Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, Marseille, France
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Rivera S, García-González L, Khrestchatisky M, Baranger K. Metalloproteinases and their tissue inhibitors in Alzheimer's disease and other neurodegenerative disorders. Cell Mol Life Sci 2019; 76:3167-3191. [PMID: 31197405 PMCID: PMC11105182 DOI: 10.1007/s00018-019-03178-2] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Revised: 05/22/2019] [Accepted: 05/29/2019] [Indexed: 12/13/2022]
Abstract
As life expectancy increases worldwide, age-related neurodegenerative diseases will increase in parallel. The lack of effective treatment strategies may soon lead to an unprecedented health, social and economic crisis. Any attempt to halt the progression of these diseases requires a thorough knowledge of the pathophysiological mechanisms involved to facilitate the identification of new targets and the application of innovative therapeutic strategies. The metzincin superfamily of metalloproteinases includes matrix metalloproteinases (MMP), a disintegrin and metalloproteinase (ADAM) and ADAM with thrombospondin motifs (ADAMTS). These multigenic and multifunctional proteinase families regulate the functions of an increasing number of signalling and scaffolding molecules involved in neuroinflammation, blood-brain barrier disruption, protein misfolding, synaptic dysfunction or neuronal death. Metalloproteinases and their physiological inhibitors, the tissue inhibitors of metalloproteinases (TIMPs), are therefore, at the crossroads of molecular and cellular mechanisms that support neurodegenerative processes, and emerge as potential new therapeutic targets. We provide an overview of current knowledge on the role and regulation of metalloproteinases and TIMPs in four major neurodegenerative diseases: Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis and Huntington's disease.
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Affiliation(s)
- Santiago Rivera
- Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, Marseille, France.
| | | | | | - Kévin Baranger
- Aix-Marseille Univ, CNRS, INP, Inst Neurophysiopathol, Marseille, France
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