1
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Sudre CH, Van Wijnen K, Dubost F, Adams H, Atkinson D, Barkhof F, Birhanu MA, Bron EE, Camarasa R, Chaturvedi N, Chen Y, Chen Z, Chen S, Dou Q, Evans T, Ezhov I, Gao H, Girones Sanguesa M, Gispert JD, Gomez Anson B, Hughes AD, Ikram MA, Ingala S, Jaeger HR, Kofler F, Kuijf HJ, Kutnar D, Lee M, Li B, Lorenzini L, Menze B, Molinuevo JL, Pan Y, Puybareau E, Rehwald R, Su R, Shi P, Smith L, Tillin T, Tochon G, Urien H, van der Velden BHM, van der Velpen IF, Wiestler B, Wolters FJ, Yilmaz P, de Groot M, Vernooij MW, de Bruijne M. Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. Med Image Anal 2024; 91:103029. [PMID: 37988921 DOI: 10.1016/j.media.2023.103029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 08/09/2023] [Accepted: 11/13/2023] [Indexed: 11/23/2023]
Abstract
Imaging markers of cerebral small vessel disease provide valuable information on brain health, but their manual assessment is time-consuming and hampered by substantial intra- and interrater variability. Automated rating may benefit biomedical research, as well as clinical assessment, but diagnostic reliability of existing algorithms is unknown. Here, we present the results of the VAscular Lesions DetectiOn and Segmentation (Where is VALDO?) challenge that was run as a satellite event at the international conference on Medical Image Computing and Computer Aided Intervention (MICCAI) 2021. This challenge aimed to promote the development of methods for automated detection and segmentation of small and sparse imaging markers of cerebral small vessel disease, namely enlarged perivascular spaces (EPVS) (Task 1), cerebral microbleeds (Task 2) and lacunes of presumed vascular origin (Task 3) while leveraging weak and noisy labels. Overall, 12 teams participated in the challenge proposing solutions for one or more tasks (4 for Task 1-EPVS, 9 for Task 2-Microbleeds and 6 for Task 3-Lacunes). Multi-cohort data was used in both training and evaluation. Results showed a large variability in performance both across teams and across tasks, with promising results notably for Task 1-EPVS and Task 2-Microbleeds and not practically useful results yet for Task 3-Lacunes. It also highlighted the performance inconsistency across cases that may deter use at an individual level, while still proving useful at a population level.
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Affiliation(s)
- Carole H Sudre
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, University College London, London, United Kingdom; Centre for Medical Image Computing, University College London, London, United Kingdom; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
| | - Kimberlin Van Wijnen
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Florian Dubost
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Hieab Adams
- Department of Clinical Genetics and Radiology, Erasmus MC, Rotterdam, The Netherlands
| | - David Atkinson
- Centre for Medical Imaging, University College London, London, United Kingdom
| | - Frederik Barkhof
- Centre for Medical Image Computing, University College London, London, United Kingdom; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, The Netherlands
| | - Mahlet A Birhanu
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Esther E Bron
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Robin Camarasa
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, University College London, London, United Kingdom
| | - Yuan Chen
- Department of Radiology, University of Massachusetts Medical School, Worcester, USA
| | - Zihao Chen
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Shuai Chen
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Qi Dou
- Department of Computer Science and Engineering, The Chinese University of Hong Kong, China
| | - Tavia Evans
- Department of Clinical Genetics and Radiology, Erasmus MC, Rotterdam, The Netherlands
| | - Ivan Ezhov
- Department of Informatics, Technische Universitat Munchen, Munich, Germany; TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Germany
| | - Haojun Gao
- Department of Radiology, Zhejiang University, Hangzhou, China
| | | | - Juan Domingo Gispert
- Barcelonaß Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina, (CIBER-BBN), Barcelona, Spain
| | | | - Alun D Hughes
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, University College London, London, United Kingdom
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, The Netherlands
| | - H Rolf Jaeger
- Institute of Neurology, University College London, London, United Kingdom
| | - Florian Kofler
- Department of Informatics, Technische Universitat Munchen, Munich, Germany; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Germany; TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Germany
| | - Hugo J Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Denis Kutnar
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Bo Li
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, The Netherlands
| | - Bjoern Menze
- Department of Informatics, Technische Universitat Munchen, Munich, Germany; Department of Quantitative Biomedicine, University of Zurich, Switzerland
| | - Jose Luis Molinuevo
- Barcelonaß Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; H. Lundbeck A/S, Copenhagen, Denmark
| | - Yiwei Pan
- Department of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China
| | | | - Rafael Rehwald
- Institute of Neurology, University College London, London, United Kingdom
| | - Ruisheng Su
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Pengcheng Shi
- Department of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China
| | | | - Therese Tillin
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, University College London, London, United Kingdom
| | | | - Hélène Urien
- ISEP-Institut Supérieur d'Électronique de Paris, Issy-les-Moulineaux, France
| | | | - Isabelle F van der Velpen
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Benedikt Wiestler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Germany
| | - Frank J Wolters
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Pinar Yilmaz
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Marius de Groot
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; GlaxoSmithKline Research, Stevenage, United Kingdom
| | - Meike W Vernooij
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Marleen de Bruijne
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
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2
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Tijms BM, Vromen EM, Mjaavatten O, Holstege H, Reus LM, van der Lee S, Wesenhagen KEJ, Lorenzini L, Vermunt L, Venkatraghavan V, Tesi N, Tomassen J, den Braber A, Goossens J, Vanmechelen E, Barkhof F, Pijnenburg YAL, van der Flier WM, Teunissen CE, Berven FS, Visser PJ. Cerebrospinal fluid proteomics in patients with Alzheimer's disease reveals five molecular subtypes with distinct genetic risk profiles. Nat Aging 2024; 4:33-47. [PMID: 38195725 PMCID: PMC10798889 DOI: 10.1038/s43587-023-00550-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 11/29/2023] [Indexed: 01/11/2024]
Abstract
Alzheimer's disease (AD) is heterogenous at the molecular level. Understanding this heterogeneity is critical for AD drug development. Here we define AD molecular subtypes using mass spectrometry proteomics in cerebrospinal fluid, based on 1,058 proteins, with different levels in individuals with AD (n = 419) compared to controls (n = 187). These AD subtypes had alterations in protein levels that were associated with distinct molecular processes: subtype 1 was characterized by proteins related to neuronal hyperplasticity; subtype 2 by innate immune activation; subtype 3 by RNA dysregulation; subtype 4 by choroid plexus dysfunction; and subtype 5 by blood-brain barrier impairment. Each subtype was related to specific AD genetic risk variants, for example, subtype 1 was enriched with TREM2 R47H. Subtypes also differed in clinical outcomes, survival times and anatomical patterns of brain atrophy. These results indicate molecular heterogeneity in AD and highlight the need for personalized medicine.
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Affiliation(s)
- Betty M Tijms
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands.
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands.
| | - Ellen M Vromen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Olav Mjaavatten
- Proteomics Unit at the University of Bergen, Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Henne Holstege
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Department of Clinical Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
| | - Lianne M Reus
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Sven van der Lee
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
| | - Kirsten E J Wesenhagen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neuroimaging, Amsterdam, the Netherlands
| | - Lisa Vermunt
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Neurochemistry Laboratory, Department of Laboratory Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
| | - Vikram Venkatraghavan
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Niccoló Tesi
- Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, Delft, the Netherlands
| | - Jori Tomassen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Anouk den Braber
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | | | | | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, UK
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Epidemiology & Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
| | - Charlotte E Teunissen
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Neurochemistry Laboratory, Department of Laboratory Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
| | - Frode S Berven
- Proteomics Unit at the University of Bergen, Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, Stockholm, Sweden
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3
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Padrela BE, Lorenzini L, Collij LE, García DV, Coomans E, Ingala S, Tomassen J, Deckers Q, Shekari M, de Geus EJC, van de Giessen E, Kate MT, Visser PJ, Barkhof F, Petr J, den Braber A, Mutsaerts HJMM. Genetic, vascular and amyloid components of cerebral blood flow in a preclinical population. J Cereb Blood Flow Metab 2023; 43:1726-1736. [PMID: 37231665 PMCID: PMC10581242 DOI: 10.1177/0271678x231178993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 04/05/2023] [Accepted: 04/09/2023] [Indexed: 05/27/2023]
Abstract
Aging-related cognitive decline can be accelerated by a combination of genetic factors, cardiovascular and cerebrovascular dysfunction, and amyloid-β burden. Whereas cerebral blood flow (CBF) has been studied as a potential early biomarker of cognitive decline, its normal variability in healthy elderly is less known. In this study, we investigated the contribution of genetic, vascular, and amyloid-β components of CBF in a cognitively unimpaired (CU) population of monozygotic older twins. We included 134 participants who underwent arterial spin labeling (ASL) MRI and [18F]flutemetamol amyloid-PET imaging at baseline and after a four-year follow-up. Generalized estimating equations were used to investigate the associations of amyloid burden and white matter hyperintensities with CBF. We showed that, in CU individuals, CBF: 1) has a genetic component, as within-pair similarities in CBF values were moderate and significant (ICC > 0.40); 2) is negatively associated with cerebrovascular damage; and 3) is positively associated with the interaction between cardiovascular risk scores and early amyloid-β burden, which may reflect a vascular compensatory response of CBF to early amyloid-β accumulation. These findings encourage future studies to account for multiple interactions with CBF in disease trajectory analyses.
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Affiliation(s)
- Beatriz E Padrela
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Lyduine E Collij
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - David Vállez García
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Emma Coomans
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Jori Tomassen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Quinten Deckers
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Mahnaz Shekari
- BBRC: Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Pompeu Fabra University, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Eco JC de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Elsmarieke van de Giessen
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Mara ten Kate
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing (CMIC), University College London, London, UK
| | - Jan Petr
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
- Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany
| | - Anouk den Braber
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Henk JMM Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
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4
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Coomans EM, Tomassen J, Ossenkoppele R, Tijms BM, Lorenzini L, ten Kate M, Collij LE, Heeman F, Rikken RM, van der Landen SM, den Hollander ME, Golla SSV, Yaqub M, Windhorst AD, Barkhof F, Scheltens P, de Geus EJC, Visser PJ, van Berckel BNM, den Braber A. Genetically identical twin-pair difference models support the amyloid cascade hypothesis. Brain 2023; 146:3735-3746. [PMID: 36892415 PMCID: PMC10473566 DOI: 10.1093/brain/awad077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 02/03/2023] [Accepted: 02/23/2023] [Indexed: 03/10/2023] Open
Abstract
The amyloid cascade hypothesis has strongly impacted the Alzheimer's disease research agenda and clinical trial designs over the past decades, but precisely how amyloid-β pathology initiates the aggregation of neocortical tau remains unclear. We cannot exclude the possibility of a shared upstream process driving both amyloid-β and tau in an independent manner instead of there being a causal relationship between amyloid-β and tau. Here, we tested the premise that if a causal relationship exists, then exposure should be associated with outcome both at the individual level as well as within identical twin-pairs, who are strongly matched on genetic, demographic and shared environmental background. Specifically, we tested associations between longitudinal amyloid-β PET and cross-sectional tau PET, neurodegeneration and cognitive decline using genetically identical twin-pair difference models, which provide the unique opportunity of ruling out genetic and shared environmental effects as potential confounders in an association. We included 78 cognitively unimpaired identical twins with [18F]flutemetamol (amyloid-β)-PET, [18F]flortaucipir (tau)-PET, MRI (hippocampal volume) and cognitive data (composite memory). Associations between each modality were tested at the individual level using generalized estimating equation models, and within identical twin-pairs using within-pair difference models. Mediation analyses were performed to test for directionality in the associations as suggested by the amyloid cascade hypothesis. At the individual level, we observed moderate-to-strong associations between amyloid-β, tau, neurodegeneration and cognition. The within-pair difference models replicated results observed at the individual level with comparably strong effect sizes. Within-pair differences in amyloid-β were strongly associated with within-pair differences in tau (β = 0.68, P < 0.001), and moderately associated with within-pair differences in hippocampal volume (β = -0.37, P = 0.03) and memory functioning (β = -0.57, P < 0.001). Within-pair differences in tau were moderately associated with within-pair differences in hippocampal volume (β = -0.53, P < 0.001) and strongly associated with within-pair differences in memory functioning (β = -0.68, P < 0.001). Mediation analyses showed that of the total twin-difference effect of amyloid-β on memory functioning, the proportion mediated through pathways including tau and hippocampal volume was 69.9%, which was largely attributable to the pathway leading from amyloid-β to tau to memory functioning (proportion mediated, 51.6%). Our results indicate that associations between amyloid-β, tau, neurodegeneration and cognition are unbiased by (genetic) confounding. Furthermore, effects of amyloid-β on neurodegeneration and cognitive decline were fully mediated by tau. These novel findings in this unique sample of identical twins are compatible with the amyloid cascade hypothesis and thereby provide important new knowledge for clinical trial designs.
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Affiliation(s)
- Emma M Coomans
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, 1081 HV Amsterdam, The Netherlands
| | - Jori Tomassen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
- Clinical Memory Research Unit, Lund University, 205 02 Lund, Sweden
| | - Betty M Tijms
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
| | - Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, 1081 HV Amsterdam, The Netherlands
| | - Mara ten Kate
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, 1081 HV Amsterdam, The Netherlands
| | - Lyduine E Collij
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, 1081 HV Amsterdam, The Netherlands
| | - Fiona Heeman
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, 1081 HV Amsterdam, The Netherlands
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, 405 30 Gothenburg, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden
| | - Roos M Rikken
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, 1081 HV Amsterdam, The Netherlands
| | - Sophie M van der Landen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
| | - Marijke E den Hollander
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, 1081 HV Amsterdam, The Netherlands
| | - Sandeep S V Golla
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, 1081 HV Amsterdam, The Netherlands
| | - Maqsood Yaqub
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, 1081 HV Amsterdam, The Netherlands
| | - Albert D Windhorst
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, 1081 HV Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, 1081 HV Amsterdam, The Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London WC1N 3BG, UK
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
| | - Eco J C de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
- Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, 6200 MD Maastricht, The Netherlands
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Bart N M van Berckel
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, 1081 HV Amsterdam, The Netherlands
| | - Anouk den Braber
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HV Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden
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5
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Cumplido-Mayoral I, García-Prat M, Operto G, Falcon C, Shekari M, Cacciaglia R, Milà-Alomà M, Lorenzini L, Ingala S, Meije Wink A, Mutsaerts HJMM, Minguillón C, Fauria K, Molinuevo JL, Haller S, Chetelat G, Waldman A, Schwarz AJ, Barkhof F, Suridjan I, Kollmorgen G, Bayfield A, Zetterberg H, Blennow K, Suárez-Calvet M, Vilaplana V, Gispert JD. Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer's disease and neurodegeneration stratified by sex. eLife 2023; 12:e81067. [PMID: 37067031 PMCID: PMC10181824 DOI: 10.7554/elife.81067] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [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: 06/14/2022] [Accepted: 04/10/2023] [Indexed: 04/18/2023] Open
Abstract
Brain-age can be inferred from structural neuroimaging and compared to chronological age (brain-age delta) as a marker of biological brain aging. Accelerated aging has been found in neurodegenerative disorders like Alzheimer's disease (AD), but its validation against markers of neurodegeneration and AD is lacking. Here, imaging-derived measures from the UK Biobank dataset (N=22,661) were used to predict brain-age in 2,314 cognitively unimpaired (CU) individuals at higher risk of AD and mild cognitive impaired (MCI) patients from four independent cohorts with available biomarker data: ALFA+, ADNI, EPAD, and OASIS. Brain-age delta was associated with abnormal amyloid-β, more advanced stages (AT) of AD pathology and APOE-ε4 status. Brain-age delta was positively associated with plasma neurofilament light, a marker of neurodegeneration, and sex differences in the brain effects of this marker were found. These results validate brain-age delta as a non-invasive marker of biological brain aging in non-demented individuals with abnormal levels of biomarkers of AD and axonal injury.
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Affiliation(s)
- Irene Cumplido-Mayoral
- Barcelonaβeta Brain Research Center, Pasqual Maragall FoundationBarcelonaSpain
- Universitat Pompeu FabraBarcelonaSpain
| | - Marina García-Prat
- Barcelonaβeta Brain Research Center, Pasqual Maragall FoundationBarcelonaSpain
| | - Grégory Operto
- Barcelonaβeta Brain Research Center, Pasqual Maragall FoundationBarcelonaSpain
- IMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
- CIBER Fragilidad y Envejecimiento Saludable (CIBERFES)MadridFrance
| | - Carles Falcon
- Barcelonaβeta Brain Research Center, Pasqual Maragall FoundationBarcelonaSpain
- IMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN)MadridSpain
| | - Mahnaz Shekari
- Barcelonaβeta Brain Research Center, Pasqual Maragall FoundationBarcelonaSpain
- Universitat Pompeu FabraBarcelonaSpain
- IMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
| | - Raffaele Cacciaglia
- Barcelonaβeta Brain Research Center, Pasqual Maragall FoundationBarcelonaSpain
- IMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
- CIBER Fragilidad y Envejecimiento Saludable (CIBERFES)MadridFrance
| | - Marta Milà-Alomà
- Barcelonaβeta Brain Research Center, Pasqual Maragall FoundationBarcelonaSpain
- Universitat Pompeu FabraBarcelonaSpain
- IMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
- CIBER Fragilidad y Envejecimiento Saludable (CIBERFES)MadridFrance
| | - Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit AmsterdamAmsterdamNetherlands
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit AmsterdamAmsterdamNetherlands
| | - Alle Meije Wink
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit AmsterdamAmsterdamNetherlands
| | - Henk JMM Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit AmsterdamAmsterdamNetherlands
| | - Carolina Minguillón
- Barcelonaβeta Brain Research Center, Pasqual Maragall FoundationBarcelonaSpain
- IMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
- CIBER Fragilidad y Envejecimiento Saludable (CIBERFES)MadridFrance
| | - Karine Fauria
- Barcelonaβeta Brain Research Center, Pasqual Maragall FoundationBarcelonaSpain
- CIBER Fragilidad y Envejecimiento Saludable (CIBERFES)MadridFrance
| | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center, Pasqual Maragall FoundationBarcelonaSpain
| | - Sven Haller
- CIRD Centre d'Imagerie Rive DroiteGenevaSwitzerland
| | - Gael Chetelat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and BrainCyceronFrance
| | - Adam Waldman
- Centre for Dementia Prevention, Edinburgh Imaging, and UK Dementia Research Institute at The University of EdinburghEdinburghUnited Kingdom
| | | | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit AmsterdamAmsterdamNetherlands
- Institutes of Neurology and Healthcare Engineering, University College LondonLondonUnited Kingdom
| | | | | | | | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, University of GothenburgMölndalSweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University HospitalMölndalSweden
- Department of Neurodegenerative Disease, UCL Queen Square Institute of NeurologyLondonUnited Kingdom
- Hong Kong Center for Neurodegenerative DiseasesHong KongChina
- UK Dementia Research Institute at UCLLondonUnited Kingdom
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, University of GothenburgMölndalSweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University HospitalMölndalSweden
| | - Marc Suárez-Calvet
- Barcelonaβeta Brain Research Center, Pasqual Maragall FoundationBarcelonaSpain
- IMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
- CIBER Fragilidad y Envejecimiento Saludable (CIBERFES)MadridFrance
- Servei de Neurologia, Hospital del MarBarcelonaSpain
| | - Verónica Vilaplana
- Department of Signal Theory and Communications, Universitat Politècnica de CatalunyaBarcelonaSpain
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center, Pasqual Maragall FoundationBarcelonaSpain
- IMIM (Hospital del Mar Medical Research Institute)BarcelonaSpain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN)MadridSpain
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6
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Lorenzini L, Ingala S, Collij LE, Wottschel V, Haller S, Blennow K, Frisoni G, Chételat G, Payoux P, Lage-Martinez P, Ewers M, Waldman A, Wardlaw J, Ritchie C, Gispert JD, Mutsaerts HJMM, Visser PJ, Scheltens P, Tijms B, Barkhof F, Wink AM. Eigenvector centrality dynamics are related to Alzheimer’s disease pathological changes in non-demented individuals. Brain Commun 2023; 5:fcad088. [PMID: 37151225 PMCID: PMC10156145 DOI: 10.1093/braincomms/fcad088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 12/05/2022] [Accepted: 03/24/2023] [Indexed: 03/30/2023] Open
Abstract
Abstract
Amyloid-β accumulation starts in highly connected brain regions and is associated with functional connectivity alterations in the early stages of Alzheimer’s disease. This regional vulnerability is related to the high neuronal activity and strong fluctuations typical of these regions. Recently, dynamic functional connectivity was introduced to investigate changes in functional network organization over time. High dynamic functional connectivity variations indicate increased regional flexibility to participate in multiple subnetworks, promoting functional integration. Currently only a limited number of studies have explored the temporal dynamics of functional connectivity in the pre-dementia stages of Alzheimer’s disease. We study the associations between abnormal cerebrospinal fluid amyloid and both static and dynamic properties of functional hubs, using eigenvector centrality, and their relationship with cognitive performance, in 701 non-demented participants from the European Prevention of Alzheimer’s Dementia (EPAD) cohort.
Voxel-wise eigenvector centrality was computed for the whole functional magnetic resonance imaging time series (static), and within a sliding window (dynamic). Differences in static eigenvector centrality between amyloid positive (A+) and negative (A-) participants and amyloid-tau (AT) groups were found in a general linear model. Dynamic eigenvector centrality standard deviation and range were compared between groups within clusters of significant static eigenvector centrality differences, and within 10 canonical resting-state networks. The effect of the interaction between amyloid status and cognitive performance on dynamic eigenvector centrality variability was also evaluated with linear models. Models were corrected for age, sex and education level.
Lower static centrality was found in A + participants in posterior brain areas including a parietal and an occipital cluster; higher static centrality was found in a medio-frontal cluster. Lower eigenvector centrality variability (standard deviation) occurred in A + participants in the frontal cluster. The default mode network and the dorsal visual networks of A + participants had lower dynamic eigenvector centrality variability. Centrality variability in the Default Mode Network and dorsal visual networks were associated with cognitive performance in the A- and A + groups, with lower variability being observed in A + participants with good cognitive scores.
Our results support the role and timing of eigenvector centrality alterations in very early stages of Alzheimer’s disease and show that centrality variability over time adds relevant information on the dynamic patterns that cause static eigenvector centrality alterations. We propose that dynamic eigenvector centrality is an early biomarker of the interplay between early Alzheimer’s disease pathology and cognitive decline.
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7
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Collij LE, Farrar G, Valléz García D, Bader I, Shekari M, Lorenzini L, Pemberton H, Altomare D, Pla S, Loor M, Markiewicz P, Yaqub M, Buckley C, Frisoni GB, Nordberg A, Payoux P, Stephens A, Gismondi R, Visser PJ, Ford L, Schmidt M, Birck C, Georges J, Mett A, Walker Z, Boada M, Drzezga A, Vandenberghe R, Hanseeuw B, Jessen F, Schöll M, Ritchie C, Lopes Alves I, Gispert JD, Barkhof F. The amyloid imaging for the prevention of Alzheimer's disease consortium: A European collaboration with global impact. Front Neurol 2023; 13:1063598. [PMID: 36761917 PMCID: PMC9907029 DOI: 10.3389/fneur.2022.1063598] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 12/08/2022] [Indexed: 01/22/2023] Open
Abstract
Background Amyloid-β (Aβ) accumulation is considered the earliest pathological change in Alzheimer's disease (AD). The Amyloid Imaging to Prevent Alzheimer's Disease (AMYPAD) consortium is a collaborative European framework across European Federation of Pharmaceutical Industries Associations (EFPIA), academic, and 'Small and Medium-sized enterprises' (SME) partners aiming to provide evidence on the clinical utility and cost-effectiveness of Positron Emission Tomography (PET) imaging in diagnostic work-up of AD and to support clinical trial design by developing optimal quantitative methodology in an early AD population. The AMYPAD studies In the Diagnostic and Patient Management Study (DPMS), 844 participants from eight centres across three clinical subgroups (245 subjective cognitive decline, 342 mild cognitive impairment, and 258 dementia) were included. The Prognostic and Natural History Study (PNHS) recruited pre-dementia subjects across 11 European parent cohorts (PCs). Approximately 1600 unique subjects with historical and prospective data were collected within this study. PET acquisition with [18F]flutemetamol or [18F]florbetaben radiotracers was performed and quantified using the Centiloid (CL) method. Results AMYPAD has significantly contributed to the AD field by furthering our understanding of amyloid deposition in the brain and the optimal methodology to measure this process. Main contributions so far include the validation of the dual-time window acquisition protocol to derive the fully quantitative non-displaceable binding potential (BP ND ), assess the value of this metric in the context of clinical trials, improve PET-sensitivity to emerging Aβ burden and utilize its available regional information, establish the quantitative accuracy of the Centiloid method across tracers and support implementation of quantitative amyloid-PET measures in the clinical routine. Future steps The AMYPAD consortium has succeeded in recruiting and following a large number of prospective subjects and setting up a collaborative framework to integrate data across European PCs. Efforts are currently ongoing in collaboration with ARIDHIA and ADDI to harmonize, integrate, and curate all available clinical data from the PNHS PCs, which will become openly accessible to the wider scientific community.
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Affiliation(s)
- Lyduine E. Collij
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands,Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands,*Correspondence: Lyduine E. Collij ✉
| | | | - David Valléz García
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands,Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands
| | - Ilona Bader
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands,Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands
| | | | - Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands,Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands
| | - Hugh Pemberton
- Centre for Medical Image Computing, and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Daniele Altomare
- Laboratory of Neuroimaging of Aging (LANVIE), Université de Genève, Geneva, Switzerland
| | - Sandra Pla
- Synapse Research Management Partners, Barcelona, Spain
| | - Mery Loor
- Synapse Research Management Partners, Barcelona, Spain
| | - Pawel Markiewicz
- Centre for Medical Image Computing, and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Maqsood Yaqub
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands
| | | | - Giovanni B. Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), Université de Genève, Geneva, Switzerland
| | - Agneta Nordberg
- Department of Neurobiology, Care Sciences and Society, Center of Alzheimer Research, Karolinska Institutet, Stockholm, Sweden
| | - Pierre Payoux
- Department of Nuclear Medicine, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Andrew Stephens
- Life Molecular Imaging GmbH, Berlin, Baden-Württemberg, Germany
| | | | - Pieter Jelle Visser
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands
| | - Lisa Ford
- Janssen Pharmaceutica NV, Beerse, Belgium
| | | | | | | | - Anja Mett
- GE Healthcare, Amersham, United Kingdom
| | - Zuzana Walker
- Centre for Medical Image Computing, and Queen Square Institute of Neurology, UCL, London, United Kingdom
| | - Mercé Boada
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain,Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Alexander Drzezga
- Department of Psychiatry, University Hospital of Cologne, Cologne, North Rhine-Westphalia, Germany
| | - Rik Vandenberghe
- Faculty of Medicine, University Hospitals Leuven, Leuven, Brussels, Belgium
| | - Bernard Hanseeuw
- Institute of Neuroscience (IONS), Université Catholique de Louvain, Brussels, Belgium
| | - Frank Jessen
- Department of Psychiatry, University Hospital of Cologne, Cologne, North Rhine-Westphalia, Germany
| | - Michael Schöll
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
| | - Craig Ritchie
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland, United Kingdom
| | | | - Juan Domingo Gispert
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands,Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands,Centre for Medical Image Computing, and Queen Square Institute of Neurology, UCL, London, United Kingdom
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8
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Lorenzini L, Orso B, García DV, Pontillo G, Ingala S, Haller S, Blennow K, Frisoni GB, Chetelat G, Payoux P, Martinez‐Lage P, Ewers M, Waldman A, Ritchie CW, Gispert JD, Visser PJ, Mutsaerts H, Tijms BM, Wink AM, Barkhof F. Concerted alterations of functional connectivity and WM integrity in relationship to early amyloid deposition. Alzheimers Dement 2022. [DOI: 10.1002/alz.063910] [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: 12/24/2022]
Affiliation(s)
- Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Beatrice Orso
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location VuMC, Vijre Universiteit Amsterdam Amsterdam Netherlands
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa Genova Italy
| | - David Vállez García
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, location VUmc Amsterdam Netherlands
| | - Giuseppe Pontillo
- Department of Advanced Biomedical Sciences, University “Federico II” Naples Italy
- Department of Electrical Engineering and Information Technology, University of Naples “Federico II” Naples Italy
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Sven Haller
- University of Geneva, Faculty of Medicine Geneva Switzerland
- Uppsala University Uppsala Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg Mölndal Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital Mölndal Sweden
| | - Giovanni B Frisoni
- IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli Brescia Italy
- Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals Geneva Switzerland
| | - Gael Chetelat
- Normandie University, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen‐Normandie, Cyceron Caen France
| | | | | | - Michael Ewers
- German Center for Neurodegenerative Diseases (DZNE) Munich Germany
| | - Adam Waldman
- Imperial College London London United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh Edinburgh United Kingdom
| | - Craig W. Ritchie
- Centre for Dementia Prevention at the University of Edinburgh Edinburgh United Kingdom
| | - Juan Domingo Gispert
- Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina Madrid Spain
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- IMIM (Hospital del Mar Medical Research Institute) Barcelona Spain
- Universitat Pompeu Fabra Barcelona Spain
| | - Pieter Jelle Visser
- Alzheimer Centrum Limburg, Maastricht University Maastricht Netherlands
- Alzheimer Center and Department of Neurology, Amsterdam Neuroscience Campus, VU University Medical Center Amsterdam Netherlands
| | - Henk‐Jan Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University Ghent Belgium
| | - Betty M. Tijms
- Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Alle Meije Wink
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center Amsterdam Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- UCL Institute of Neurology London United Kingdom
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9
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Lorenzini L, Ingala S, Collij LE, Wottschel V, Haller S, Blennow K, Frisoni GB, Chetelat G, Payoux P, Martinez‐Lage P, Ewers M, Waldman A, Wardlaw JM, Ritchie CW, Gispert JD, Mutsaerts H, Visser PJ, Scheltens P, Tijms BM, Barkhof F, Wink AM. Functional eigenvector centrality dynamics are related to amyloid deposition in preclinical Alzheimer’s Disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.063850] [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: 12/24/2022]
Affiliation(s)
- Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | | | - Viktor Wottschel
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center Amsterdam Netherlands
| | - Sven Haller
- University of Geneva, Faculty of Medicine Geneva Switzerland
- Uppsala University Uppsala Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg Mölndal Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital Mölndal Sweden
| | - Giovanni B Frisoni
- University Hospitals of Geneva Geneva Switzerland
- Laboratory of Alzheimer’s Neuroimaging and Epidemiology (LANE) Brescia Italy
| | - Gael Chetelat
- Normandie University, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen‐Normandie, Cyceron Caen France
| | - Pierre Payoux
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS Toulouse France
| | - Pablo Martinez‐Lage
- Center for Research and Advanced Therapies, CITA‐Alzheimer Foundation San Sebastian Spain
| | - Michael Ewers
- German Center for Neurodegenerative Diseases (DZNE) Munich Germany
| | - Adam Waldman
- Imperial College London London United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh Edinburgh United Kingdom
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, The University of Edinburgh Edinburgh United Kingdom
- University of Edinburgh Edinburgh United Kingdom
| | - Craig W. Ritchie
- Centre for Dementia Prevention at the University of Edinburgh Edinburgh United Kingdom
| | - Juan Domingo Gispert
- Hospital del Mar Medical Research Institute (IMIM) Barcelona Spain
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- Universitat Pompeu Fabra Barcelona Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER‐BBN) Madrid Spain
| | - Henk‐Jan Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University Ghent Belgium
| | - Pieter Jelle Visser
- Karolinska Institutet Stockholm Sweden
- Alzheimer Centrum Limburg, Maastricht University Maastricht Netherlands
- Alzheimer Center and Department of Neurology, Amsterdam Neuroscience Campus, VU University Medical Center Amsterdam Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Betty M. Tijms
- Alzheimer Center Amsterdam, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Frederik Barkhof
- UCL Institutes of Neurology and Healthcare Engineering London United Kingdom
- Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Alle Meije Wink
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center Amsterdam Netherlands
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10
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Cumplido‐Mayoral I, Garcia M, Operto G, Falcon C, Shekari M, Cacciaglia R, Milà‐Alomà M, Lorenzini L, Ingala S, Wink AM, Mutsaerts H, Minguillón C, Fauria K, Molinuevo JL, Haller S, Chetelat G, Waldman A, Schwarz AJ, Barkhof F, Kollmorgen G, Suridjan I, Wild N, Zetterberg H, Blennow K, Suárez‐Calvet M, Vilaplana V, Gispert JD. Biological Brain Age Prediction Using Machine Learning on Structural Neuroimaging Data: Multi‐Cohort Validation Against Biomarkers of Alzheimer’s Disease and Neurodegeneration. Alzheimers Dement 2022. [DOI: 10.1002/alz.064047] [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: 12/24/2022]
Affiliation(s)
- Irene Cumplido‐Mayoral
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- Universitat Pompeu Fabra Barcelona Spain
| | - Marina Garcia
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
| | - Grégory Operto
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- IMIM (Hospital del Mar Medical Research Institute) Barcelona Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) Madrid Spain
| | - Carles Falcon
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- IMIM (Hospital del Mar Medical Research Institute) Barcelona Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER‐BBN) Madrid Spain
| | - Mahnaz Shekari
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- Universitat Pompeu Fabra Barcelona Spain
- Hospital del Mar Medical Research Institute (IMIM) Barcelona Spain
| | - Raffaele Cacciaglia
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- IMIM (Hospital del Mar Medical Research Institute) Barcelona Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) Madrid Spain
| | - Marta Milà‐Alomà
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- Universitat Pompeu Fabra Barcelona Spain
- IMIM (Hospital del Mar Medical Research Institute) Barcelona Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) Madrid Spain
| | - Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Alle Meije Wink
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Henk‐Jan Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Carolina Minguillón
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- IMIM (Hospital del Mar Medical Research Institute) Barcelona Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) Madrid Spain
| | - Karine Fauria
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) Madrid Spain
| | - Jose Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- IMIM (Hospital del Mar Medical Research Institute) Barcelona Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) Madrid Spain
- Lundbeck A/S Copenhagen Denmark
| | - Sven Haller
- CIRD Centre d'Imagerie Rive Droite Geneva Switzerland
| | - Gael Chetelat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen‐Normandie Cyceron Caen France
| | - Adam Waldman
- Centre for Dementia Prevention, Edinburgh Imaging, and UK Dementia Research Institute at The University of Edinburgh Edinburgh United Kingdom
| | | | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Institutes of Neurology and Healthcare Engineering, University College London London United Kingdom
| | | | | | - Norbert Wild
- Roche Diagnostics International Ltd Rotkreuz Switzerland
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital Mölndal Sweden
- UK Dementia Research Institute at UCL London United Kingdom
- Hong Kong Center for Neurodegenerative Diseases Clear Water Bay Hong Kong
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London London United Kingdom
- Institute of Neuroscience and Physiology, University of Gothenburg Mölndal Sweden
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital Mölndal Sweden
- Institute of Neuroscience and Physiology, University of Gothenburg Mölndal Sweden
| | - Marc Suárez‐Calvet
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- IMIM (Hospital del Mar Medical Research Institute) Barcelona Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) Madrid Spain
- Servei de Neurologia, Hospital del Mar Barcelona Spain
| | - Verónica Vilaplana
- Department of Signal Theory and Communications, Universitat Politècnica de Catalunya Barcelona Spain
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- IMIM (Hospital del Mar Medical Research Institute) Barcelona Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER‐BBN) Madrid Spain
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11
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Lorenzini L, Orso B, García DV, Pontillo G, Ingala S, Haller S, Blennow K, Frisoni GB, Chetelat G, Payoux P, Martinez‐Lage P, Ewers M, Waldman A, Ritchie CW, Gispert JD, Visser PJ, Mutsaerts HJMM, Tijms BM, Wink AM, Barkhof F. Concerted alterations of functional connectivity and WM integrity in relationship to early amyloid deposition. Alzheimers Dement 2022. [DOI: 10.1002/alz.064588] [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: 12/24/2022]
Affiliation(s)
- Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Beatrice Orso
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location VuMC, Vijre Universiteit Amsterdam Amsterdam Netherlands
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa Genova Italy
| | - David Vállez García
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, location VUmc Amsterdam Netherlands
| | - Giuseppe Pontillo
- Department of Advanced Biomedical Sciences, University “Federico II” Naples Italy
- Department of Electrical Engineering and Information Technology, University of Naples “Federico II” Naples Italy
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Sven Haller
- University of Geneva, Faculty of Medicine Geneva Switzerland
- Uppsala University Uppsala Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg Mölndal Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital Mölndal Sweden
| | - Giovanni B Frisoni
- IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli Brescia Italy
- Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals Geneva Switzerland
| | - Gael Chetelat
- Normandie University, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen‐Normandie, Cyceron Caen France
| | - Pierre Payoux
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
- INSERM, Imagerie cérébrale et handicaps neurologiques Toulouse France
| | | | - Michael Ewers
- German Center for Neurodegenerative Diseases (DZNE) Munich Germany
| | - Adam Waldman
- Imperial College London London United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh Edinburgh United Kingdom
| | - Craig W. Ritchie
- Centre for Dementia Prevention at the University of Edinburgh Edinburgh United Kingdom
| | - Juan Domingo Gispert
- Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina Madrid Spain
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- IMIM (Hospital del Mar Medical Research Institute) Barcelona Spain
- Universitat Pompeu Fabra Barcelona Spain
| | - Pieter Jelle Visser
- Alzheimer Centrum Limburg, Maastricht University Maastricht Netherlands
- Alzheimer Center and Department of Neurology, Amsterdam Neuroscience Campus, VU University Medical Center Amsterdam Netherlands
| | - Henri JMM Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University Ghent Belgium
| | - Betty M. Tijms
- Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Alle Meije Wink
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center Amsterdam Netherlands
| | - Frederik Barkhof
- Institutes of Neurology and Healthcare Engineering, University College London London United Kingdom
- Department of Computer Science and Centre for Medical Image Computing, University College London London United Kingdom
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12
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Lorenzini L, Ansems LT, Lopes Alves I, Ingala S, Vállez García D, Tomassen J, Sudre C, Salvadó G, Shekari M, Operto G, Brugulat-Serrat A, Sánchez-Benavides G, ten Kate M, Tijms B, Wink AM, Mutsaerts HJMM, den Braber A, Visser PJ, van Berckel BNM, Gispert JD, Barkhof F, Collij LE, Beteta A, Brugulat A, Cacciaglia R, Cañas A, Deulofeu C, Cumplido I, Dominguez R, Emilio M, Fauria K, Fuentes S, Hernandez L, Huesa G, Huguet J, Marne P, Menchón T, Polo A, Pradas S, Rodriguez-Fernandez B, Sala-Vila A, Sánchez-Benavides G, Soteras A, Vilanova M. Regional associations of white matter hyperintensities and early cortical amyloid pathology. Brain Commun 2022; 4:fcac150. [PMID: 35783557 PMCID: PMC9246276 DOI: 10.1093/braincomms/fcac150] [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: 03/24/2022] [Revised: 04/11/2022] [Accepted: 06/09/2022] [Indexed: 11/13/2022] Open
Abstract
Abstract
White matter hyperintensities (WMHs) have a heterogeneous aetiology, associated with both vascular risk factors and amyloidosis due to Alzheimer’s disease. While spatial distribution of both amyloid and WM lesions carry important information for the underlying pathogenic mechanisms, the regional relationship between these two pathologies and their joint contribution to early cognitive deterioration remains largely unexplored.
We included 662 non-demented participants from three Amyloid Imaging to Prevent Alzheimer’s disease (AMYPAD)-affiliated cohorts: EPAD-LCS (N = 176), ALFA+ (N = 310), and EMIF-AD PreclinAD Twin60++ (N = 176). Using PET imaging, cortical amyloid burden was assessed regionally within early accumulating regions (medial orbitofrontal, precuneus, and cuneus) and globally, using the Centiloid method. Regional WMH volume was computed using Bayesian Model Selection. Global associations between WMH, amyloid, and cardiovascular risk scores (Framingham and CAIDE) were assessed using linear models. Partial least square (PLS) regression was used to identify regional associations. Models were adjusted for age, sex, and APOE-e4 status. Individual PLS scores were then related to cognitive performance in 4 domains (attention, memory, executive functioning, and language).
While no significant global association was found, the PLS model yielded two components of interest. In the first PLS component, a fronto-parietal WMH pattern was associated with medial orbitofrontal–precuneal amyloid, vascular risk, and age. Component 2 showed a posterior WMH pattern associated with precuneus-cuneus amyloid, less related to age or vascular risk. Component 1 was associated with lower performance in all cognitive domains, while component 2 only with worse memory.
In a large pre-dementia population, we observed two distinct patterns of regional associations between WMH and amyloid burden, and demonstrated their joint influence on cognitive processes. These two components could reflect the existence of vascular-dependent and -independent manifestations of WMH-amyloid regional association that might be related to distinct primary pathophysiology.
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Affiliation(s)
- Luigi Lorenzini
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
| | - Loes T Ansems
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
| | - Isadora Lopes Alves
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
| | - Silvia Ingala
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
| | - David Vállez García
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
| | - Jori Tomassen
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC , Amsterdam , The Netherlands
| | - Carole Sudre
- Centre for Medical Image Computing (CMIC), Departments of Medical Physics & Biomedical Engineering and Computer Science, University College London , UK
- MRC Unit for Lifelong Health and Ageing - University College London , UK
- School of Biomedical Engineering , King’s College London UK
| | - Gemma Salvadó
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation , Barcelona , Spain
- IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Spain
| | - Mahnaz Shekari
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation , Barcelona , Spain
- IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Spain
- Universitat Pompeu Fabra , Barcelona , Spain
| | - Gregory Operto
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation , Barcelona , Spain
- IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Spain
- Centro de Investigación Biomédica en Red de Fragilidad Y Envejecimiento Saludable (CIBERFES) , Madrid , Spain
| | - Anna Brugulat-Serrat
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation , Barcelona , Spain
- IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Spain
- Centro de Investigación Biomédica en Red de Fragilidad Y Envejecimiento Saludable (CIBERFES) , Madrid , Spain
- Atlantic Fellow for Equity in Brain Health at the University of California San Francisco , SanFrancisco, California , USA
| | - Gonzalo Sánchez-Benavides
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation , Barcelona , Spain
- IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Spain
- Centro de Investigación Biomédica en Red de Fragilidad Y Envejecimiento Saludable (CIBERFES) , Madrid , Spain
| | - Mara ten Kate
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC , Amsterdam , The Netherlands
| | - Betty Tijms
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC , Amsterdam , The Netherlands
| | - Alle Meije Wink
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
| | - Henk J M M Mutsaerts
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
| | - Anouk den Braber
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC , Amsterdam , The Netherlands
- Department. of Biological Psychology, Vrije Universiteit Amsterdam, Neuroscience Amsterdam , Amsterdam , The Netherlands
| | - Pieter Jelle Visser
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC , Amsterdam , The Netherlands
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University , Maastricht , The Netherlands
| | - Bart N M van Berckel
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation , Barcelona , Spain
- IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Spain
- Universitat Pompeu Fabra , Barcelona , Spain
- Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales Y Nanomedicina , Madrid , Spain
| | - Frederik Barkhof
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London , London , UK
| | - Lyduine E Collij
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
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13
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Lorenzini L, van Wingen G, Cerliani L. Atypically high influence of subcortical activity on primary sensory regions in autism. Neuroimage Clin 2022; 32:102839. [PMID: 34624634 PMCID: PMC8503568 DOI: 10.1016/j.nicl.2021.102839] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [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: 07/20/2021] [Revised: 09/20/2021] [Accepted: 09/21/2021] [Indexed: 12/20/2022]
Abstract
The age-dependent decrease of subcortico-cortical connectivity is attenuated in ASD. Primary sensory regions remain less segregated from subcortical activity in ASD. This could underlie an excessive amount of sensory input relayed to the cortex.
Background Hypersensitivity, stereotyped behaviors and attentional problems in autism spectrum disorder (ASD) are compatible with inefficient filtering of undesired or irrelevant sensory information at early stages of neural processing. This could stem from the persistent overconnectivity between primary sensory regions and deep brain nuclei in both children and adults with ASD – as reported by several previous studies – which could reflect a decreased or arrested maturation of brain connectivity. However, it has not yet been investigated whether this overconnectivity can be modelled as an excessive directional influence of subcortical brain activity on primary sensory cortical regions in ASD, with respect to age-matched typically developing (TD) individuals. Methods To this aim, we used dynamic causal modelling to estimate (1) the directional influence of subcortical activity on cortical processing and (2) the functional segregation of primary sensory cortical regions from subcortical activity in 166 participants with ASD and 193 TD participants from the Autism Brain Imaging Data Exchange (ABIDE). We then specifically tested the hypothesis that the age-related changes of these indicators of brain connectivity would differ between the two groups. Results We found that in TD participants age was significantly associated with decreased influence of subcortical activity on cortical processing, paralleled by an increased functional segregation of cortical sensory processing from subcortical activity. Instead these effects were highly reduced and mostly absent in ASD participants, suggesting a delayed or arrested development of the segregation between subcortical and cortical sensory processing in ASD. Conclusion This atypical configuration of subcortico-cortical connectivity in ASD can result in an excessive amount of unprocessed sensory input relayed to the cortex, which is likely to impact cognitive functioning in everyday situations where it is beneficial to limit the influence of basic sensory information on cognitive processing, such as activities requiring focused attention or social interactions.
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Affiliation(s)
- Luigi Lorenzini
- Dept. of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Meibergdreef 5, 1105AZ Amsterdam, The Netherlands; Dept. Radiology and Nuclear Medicine, Amsterdam UMC, VU University, Amsterdam Neuroscience, De Boelelaan 1117, 1081HV Amsterdam, The Netherlands.
| | - Guido van Wingen
- Dept. of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Meibergdreef 5, 1105AZ Amsterdam, The Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018WT, University of Amsterdam, The Netherlands
| | - Leonardo Cerliani
- Dept. of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Meibergdreef 5, 1105AZ Amsterdam, The Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018WT, University of Amsterdam, The Netherlands; Netherlands Institute for Neuroscience, Social Brain Lab, Meibergdreef 47, 1105BA Amsterdam, The Netherlands
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14
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Lorenzini L, Ingala S, Wink AM, Kuijer JPA, Wottschel V, Dijsselhof M, Sudre CH, Haller S, Molinuevo JL, Gispert JD, Cash DM, Thomas DL, Vos SB, Prados F, Petr J, Wolz R, Palombit A, Schwarz AJ, Chételat G, Payoux P, Di Perri C, Wardlaw JM, Frisoni GB, Foley C, Fox NC, Ritchie C, Pernet C, Waldman A, Barkhof F, Mutsaerts HJMM. The Open-Access European Prevention of Alzheimer's Dementia (EPAD) MRI dataset and processing workflow. Neuroimage Clin 2022; 35:103106. [PMID: 35839659 PMCID: PMC9421463 DOI: 10.1016/j.nicl.2022.103106] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [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: 10/15/2021] [Revised: 06/30/2022] [Accepted: 07/04/2022] [Indexed: 11/22/2022]
Abstract
The European Prevention of Alzheimer Dementia (EPAD) is a multi-center study that aims to characterize the preclinical and prodromal stages of Alzheimer's Disease. The EPAD imaging dataset includes core (3D T1w, 3D FLAIR) and advanced (ASL, diffusion MRI, and resting-state fMRI) MRI sequences. Here, we give an overview of the semi-automatic multimodal and multisite pipeline that we developed to curate, preprocess, quality control (QC), and compute image-derived phenotypes (IDPs) from the EPAD MRI dataset. This pipeline harmonizes DICOM data structure across sites and performs standardized MRI preprocessing steps. A semi-automated MRI QC procedure was implemented to visualize and flag MRI images next to site-specific distributions of QC features - i.e. metrics that represent image quality. The value of each of these QC features was evaluated through comparison with visual assessment and step-wise parameter selection based on logistic regression. IDPs were computed from 5 different MRI modalities and their sanity and potential clinical relevance were ascertained by assessing their relationship with biological markers of aging and dementia. The EPAD v1500.0 data release encompassed core structural scans from 1356 participants 842 fMRI, 831 dMRI, and 858 ASL scans. From 1356 3D T1w images, we identified 17 images with poor quality and 61 with moderate quality. Five QC features - Signal to Noise Ratio (SNR), Contrast to Noise Ratio (CNR), Coefficient of Joint Variation (CJV), Foreground-Background energy Ratio (FBER), and Image Quality Rate (IQR) - were selected as the most informative on image quality by comparison with visual assessment. The multimodal IDPs showed greater impairment in associations with age and dementia biomarkers, demonstrating the potential of the dataset for future clinical analyses.
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Affiliation(s)
- Luigi Lorenzini
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands; Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands.
| | - Silvia Ingala
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands; Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | - Alle Meije Wink
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands; Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | - Joost P A Kuijer
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands; Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | - Viktor Wottschel
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Mathijs Dijsselhof
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands; Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | - Carole H Sudre
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK; Centre for Medical Image Computing, University College London, London, UK; School of Biomedical Engineering & Imaging Sciences, King's College London, UK
| | - Sven Haller
- CIMC - Centre d'Imagerie Médicale de Cornavin, Place de Cornavin 18, 1201 Genève, Switzerland; Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden
| | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; H. Lundbeck A/S, 2500 Valby, Denmark
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona Spain; Universitat Pompeu Fabra, Barcelona, Spain; CIBER Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - David M Cash
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK; UK Dementia Research Institute, University College of London, London, UK
| | - David L Thomas
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK; Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology London, UK; Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, London, UK
| | - Sjoerd B Vos
- Centre for Medical Image Computing, University College London, London, UK; Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology London, UK
| | - Ferran Prados
- Nuclear Magnetic Resonance Research Unit, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology, London, United Kingdom; Department of Medical Physics and Biomedical Engineering, Centre for Medical Image Computing, University College London, London, United Kingdom; e-Health Centre, Universitat Oberta de Catalunya, Barcelona, Spain
| | - Jan Petr
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands; Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany
| | - Robin Wolz
- IXICO, London, UK; Imperial College London, London, UK
| | | | | | - Gaël Chételat
- Université de Normandie, Unicaen, Inserm, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood-and-Brain @ Caen-Normandie, Cyceron, 14000 Caen, France
| | - Pierre Payoux
- Department of Nuclear Medicine, Toulouse CHU, Purpan University Hospital, Toulouse, France; Toulouse NeuroImaging Center, University of Toulouse, INSERM, UPS, Toulouse, France
| | - Carol Di Perri
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute at Edinburgh, University of Edinburgh, UK
| | - Giovanni B Frisoni
- Laboratory Alzheimer's Neuroimaging & Epidemiology, IRCCS Instituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; University Hospitals and University of Geneva, Geneva, Switzerland
| | | | - Nick C Fox
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Craig Ritchie
- Centre for Dementia Prevention, The University of Edinburgh, Scotland, UK
| | - Cyril Pernet
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK; Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Adam Waldman
- Centre for Clinical Brain Sciences, The University of Edinburgh, Edinburgh, UK; Department of Brain Sciences, Imperial College London, London, UK
| | - Frederik Barkhof
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands; Institute of Neurology and Healthcare Engineering, University College London, London, UK; Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
| | - Henk J M M Mutsaerts
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, The Netherlands; Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University, Ghent, Belgium; Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
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15
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Cumplido‐Mayoral I, Ingala S, Lorenzini L, Wink AM, Haller S, Molinuevo J, Wolz R, Palombit A, Schwarz AJ, Chetelat G, Payoux P, Martinez‐Lage P, Frisoni G, Fox NC, Ritchie CW, Wardlaw JM, Waldman A, Barkhof F, Vilaplana V, Gispert JD. Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI. Alzheimers Dement 2021. [DOI: 10.1002/alz.053661] [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: 11/07/2022]
Affiliation(s)
- Irene Cumplido‐Mayoral
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- Universitat Pompeu Fabra Barcelona Spain
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center Amsterdam Netherlands
| | - Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Alle Meije Wink
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Sven Haller
- CIRD Centre d'Imagerie Rive Droite Geneva Switzerland
| | - Jose Molinuevo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- H. Lundbeck A/S Copenhagen Denmark
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES) Madrid Spain
- IMIM (Hospital del Mar Medical Research Institute) Barcelona Spain
| | | | | | | | - Gaël Chetelat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen‐Normandie Cyceron France
| | - Pierre Payoux
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS Toulouse France
| | | | - Giovanni Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva Geneva Switzerland
- Memory Clinic, Geneva University Hospitals Geneva Switzerland
| | - Nick C Fox
- Dementia Research Centre, Department of Neurodegenerative Disease & UK Dementia Research Institute, Institute of Neurology, University College London London United Kingdom
| | - Craig W. Ritchie
- Centre for Clinical Brain Sciences, The University of Edinburgh Edinburgh United Kingdom
| | - Joanna M Wardlaw
- Centre for Clinical Brain Sciences, The University of Edinburgh Edinburgh United Kingdom
| | - Adam Waldman
- Centre for Dementia Prevention, University of Edinburgh Edinburgh United Kingdom
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Institutes of Neurology and Healthcare Engineering, UCL London United Kingdom
| | - Verónica Vilaplana
- Department of Signal Theory and Communications, Universitat Politècnica de Catalunya Barcelona Spain
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- IMIM (Hospital del Mar Medical Research Institute) Barcelona Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER‐BBN) Madrid Spain
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16
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Lorenzini L, Ingala S, Wink AM, Kuijer J, Wottschel V, Sudre CH, Haller S, Molinuevo J, Gispert JD, Cash DM, Thomas DL, Vos S, Carrasco FP, Petr J, Wolz R, Palombit A, Schwarz AJ, Chetelat G, Payoux P, Di Perri C, Pernet C, Frisoni GB, Fox NC, Ritchie CW, Wardlaw JM, Waldman A, Barkhof F, Mutsaerts H. Neuroimaging‐derived phenotypes in the European Prevention of Alzheimer Dementia (EPAD) Cohort Study. Alzheimers Dement 2021. [DOI: 10.1002/alz.055495] [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: 11/07/2022]
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Weatheritt J, Vega BB, Reinwald M, Joules R, Lorenzini L, Barkhof F, Mutsaerts H, Wink AM, Wolz R. Automatic brain extraction using deep learning. Alzheimers Dement 2021. [DOI: 10.1002/alz.053981] [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: 11/06/2022]
Affiliation(s)
| | | | | | | | - Luigi Lorenzini
- Department of Radiology and Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
| | - Henk‐Jan Mutsaerts
- Department of Radiology and Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
| | - Alle Meije Wink
- Department of Radiology and Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
| | - Robin Wolz
- IXICO London United Kingdom
- Imperial College London London United Kingdom
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18
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Napolitani M, Lorenzini L, Valentini V, Alaimo L, Nante N. 'Wherever you are, my son, wait for me.' study on medically assisted reproduction. Eur J Public Health 2021. [DOI: 10.1093/eurpub/ckab164.071] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Introduction
In Italy the use of Medically Assisted Procreation (MAP) is increasingly frequent also because the mean age at which Italian women have their first child has increased in recent decades (31.8 years in 2017) and it is more difficult to have a child for an older woman. The aim of this study was evaluate the maternal and neonatal outcomes of MAP and compare them with those of natural pregnancies.
Methods
The cross-sectional study was performed during the period January 2015-June 2019. All women that gave birth in the Hospital of Siena were included. The sample was divided in two groups (Natural pregnancy/MAP Pregnancy). The outcome variables were: maternal age, number of foetus, type of childbirth, timing of the birth, Apgar Index and necessity of hospitalization in neonatal intensive therapy unit (NITU) or resuscitation. The statistical analysis was performed with Stata 12.
Results
In total 5066 females were included (4.5% MAP pregnancy). The average age (±SD) of females was 32,9±5,56 (min 14-max 61). The mean age (±SD) of women with PMA was significantly higher 38.7 ± 5.7 vs. 32.6± 5.4 of those who had natural pregnancy. In PMA Pregnancy there was a higher probability of multiple pregnancy (OR = 16.13; 95% CI 10.38-25.07; p < 0.001), Caesarean Section (OR:4,54; 95% CI 3.28-6.31; p < 0,001) and preterm birth (OR 3.79; 95% IC 2.80-5.14; p < 0.001). Apgar index at the first minute was significantly lower in children born from pregnancies from MAP (8,6 ±1,4 vs, 9 ±1,4 p < 0.01), the difference was significant even in the 5th minute (9,6 ±0,7 vs. 9,8 ±0,6 p < 0.01). Children born by MAP Pregnancy had higher probability of hospitalization in Neonatal Intensive Care (OR = 3.12; 95% CI 2.12-4.59; p < 0.001).
Conclusions
In our sample we found that MAP is used by women with older average age and it is associated with less favourable maternal and neonatal outcomes than those from natural conception.
Key messages
In Italy the use of Medically Assisted Procreation (MAP) is increasingly frequent because it is more difficult to have a child for an older woman. In our sample we found that MAP is used by women with older average age and it is associated with less favourable maternal and neonatal outcomes than those from natural conception.
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Affiliation(s)
- M Napolitani
- Post Graduate School of Public Health, University of Siena, Siena, Italy
| | - L Lorenzini
- Post Graduate School of Public Health, University of Siena, Siena, Italy
| | - V Valentini
- Degree Course in Obstetrics, University of Siena, Siena, Italy
| | - L Alaimo
- Degree Course in Obstetrics, University of Siena, Siena, Italy
| | - N Nante
- Post Graduate School of Public Health, University of Siena, Siena, Italy
- Department of Molecular and Developmental Medicine, University of Siena, Siena, Italy
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19
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Ingala S, De Boer C, Masselink LA, Vergari I, Lorenzini L, Blennow K, Chételat G, Di Perri C, Ewers M, van der Flier WM, Fox NC, Gispert JD, Haller S, Molinuevo JL, Muniz‐Terrera G, Mutsaerts HJMM, Ritchie CW, Ritchie K, Schmidt M, Schwarz AJ, Vermunt L, Waldman AD, Wardlaw J, Wink AM, Wolz R, Wottschel V, Scheltens P, Visser PJ, Barkhof F. Application of the ATN classification scheme in a population without dementia: Findings from the EPAD cohort. Alzheimers Dement 2021; 17:1189-1204. [PMID: 33811742 PMCID: PMC8359976 DOI: 10.1002/alz.12292] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [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: 06/08/2020] [Revised: 11/11/2020] [Accepted: 12/22/2020] [Indexed: 01/18/2023]
Abstract
BACKGROUND We classified non-demented European Prevention of Alzheimer's Dementia (EPAD) participants through the amyloid/tau/neurodegeneration (ATN) scheme and assessed their neuropsychological and imaging profiles. MATERIALS AND METHODS From 1500 EPAD participants, 312 were excluded. Cerebrospinal fluid cut-offs of 1000 pg/mL for amyloid beta (Aß)1-42 and 27 pg/mL for p-tau181 were validated using Gaussian mixture models. Given strong correlation of p-tau and t-tau (R2 = 0.98, P < 0.001), neurodegeneration was defined by age-adjusted hippocampal volume. Multinomial regressions were used to test whether neuropsychological tests and regional brain volumes could distinguish ATN stages. RESULTS Age was 65 ± 7 years, with 58% females and 38% apolipoprotein E (APOE) ε4 carriers; 57.1% were A-T-N-, 32.5% were in the Alzheimer's disease (AD) continuum, and 10.4% suspected non-Alzheimer's pathology. Age and cerebrovascular burden progressed with biomarker positivity (P < 0.001). Cognitive dysfunction appeared with T+. Paradoxically higher regional gray matter volumes were observed in A+T-N- compared to A-T-N- (P < 0.001). DISCUSSION In non-demented individuals along the AD continuum, p-tau drives cognitive dysfunction. Memory and language domains are affected in the earliest stages.
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Affiliation(s)
- Silvia Ingala
- Department of Radiology and Nuclear MedicineAmsterdam UMC Location VUmcVrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdamthe Netherlands
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam UMC Location VUmcVrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdamthe Netherlands
| | - Casper De Boer
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam UMC Location VUmcVrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdamthe Netherlands
| | - Larissa A Masselink
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam UMC Location VUmcVrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdamthe Netherlands
| | - Ilaria Vergari
- Department of Radiology and Nuclear MedicineAmsterdam UMC Location VUmcVrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdamthe Netherlands
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam UMC Location VUmcVrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdamthe Netherlands
| | - Luigi Lorenzini
- Department of Radiology and Nuclear MedicineAmsterdam UMC Location VUmcVrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdamthe Netherlands
| | - Kaj Blennow
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - Gaël Chételat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND “Physiopathology and Imaging of Neurological Disorders,”Institut Blood and Brain @ Caen‐NormandieCyceronCaenFrance
| | - Carol Di Perri
- Centre for Dementia PreventionEdinburgh Imaging, UK Dementia Research Institute at The University of EdinburghEdinburghUK
| | - Michael Ewers
- Institute for Stroke and Dementia ResearchKlinikum der Universitat MünchenLudwig‐Maximilians‐Universitat LMUMunichGermany
| | - Wiesje M van der Flier
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam UMC Location VUmcVrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdamthe Netherlands
| | - Nick C Fox
- Dementia Research CentreDepartment of Neurodegenerative Disease & UK Dementia Research InstituteInstitute of NeurologyUniversity College LondonLondonUK
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain
- CIBER Fragilidad y Envejecimiento Saludable (CIBERFES)MadridSpain
- Universitat Pompeu FabraBarcelonaSpain
| | - Sven Haller
- CIRD Centre d'Imagerie Rive DroiteGenevaSwitzerland
| | - José Luís Molinuevo
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain
- Hopsital Clínic‐IDIBAPSAlzheimer's Disease & Other Cognitive Disorders UnitBarcelonaSpain
| | - Graciela Muniz‐Terrera
- Centre for Dementia PreventionEdinburgh Imaging, UK Dementia Research Institute at The University of EdinburghEdinburghUK
| | - Henri JMM Mutsaerts
- Department of Radiology and Nuclear MedicineAmsterdam UMC Location VUmcVrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdamthe Netherlands
- Ghent Institute for Functional and Metabolic Imaging (GIfMI)Ghent UniversityGhentBelgium
| | - Craig W Ritchie
- Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
| | - Karen Ritchie
- Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
| | | | - Adam J Schwarz
- Takeda Pharmaceutical Company LtdCambridgeMassachusettsUSA
| | - Lisa Vermunt
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam UMC Location VUmcVrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdamthe Netherlands
| | - Adam D Waldman
- Centre for Dementia PreventionEdinburgh Imaging, UK Dementia Research Institute at The University of EdinburghEdinburghUK
- Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
| | - Joanna Wardlaw
- Centre for Dementia PreventionEdinburgh Imaging, UK Dementia Research Institute at The University of EdinburghEdinburghUK
- Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
| | - Alle Meije Wink
- Department of Radiology and Nuclear MedicineAmsterdam UMC Location VUmcVrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdamthe Netherlands
| | | | - Viktor Wottschel
- Department of Radiology and Nuclear MedicineAmsterdam UMC Location VUmcVrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdamthe Netherlands
| | - Philip Scheltens
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam UMC Location VUmcVrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdamthe Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center AmsterdamDepartment of NeurologyAmsterdam UMC Location VUmcVrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdamthe Netherlands
- Department of Psychiatry & NeuropsychologySchool for Mental Health and NeuroscienceMaastricht UniversityMaastrichtthe Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear MedicineAmsterdam UMC Location VUmcVrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdamthe Netherlands
- Institutes of Neurology and Healthcare EngineeringUniversity College LondonLondonUK
| | - the EPAD consortium
- Department of Radiology and Nuclear MedicineAmsterdam UMC Location VUmcVrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdamthe Netherlands
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20
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Ingala S, de Boer C, Masselink LA, Vergari I, Lorenzini L, Blennow K, Chetelat G, Perri CD, Ewers M, Fox NC, Gispert JD, Molinuevo JL, Terrera GM, Mutsaerts HJ, Ritchie CW, Schmidt ME, Vermunt L, Waldman A, Wink AM, Wolz R, Wottschel V, Scheltens P, Visser PJ, Barkhof F. Operationalization of the ATN classification scheme in preclinical AD: Findings from EPAD V500.0 data release. Alzheimers Dement 2020. [DOI: 10.1002/alz.037912] [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: 11/09/2022]
Affiliation(s)
- Silvia Ingala
- Department of Radiology and Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
| | - Casper de Boer
- Alzheimer Center Amsterdam Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
| | | | - Ilaria Vergari
- Department of Radiology and Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
- Alzheimer Center Amsterdam Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
| | - Luigi Lorenzini
- Department of Radiology and Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
| | - Kaj Blennow
- Institute of Neuroscience and Physiology Department of Psychiatry and Neurochemistry The Sahlgrenska Academy at University of Gothenburg Mölndal Sweden
| | - Gael Chetelat
- Inserm U1077 Caen‐Normandie University École Pratique des Hautes Études Caen France
| | - Carol Di Perri
- Centre for Dementia Prevention University of Edinburgh Edinburgh United Kingdom
| | | | - Nick C. Fox
- UK Dementia Research Institute UCL London United Kingdom
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC) Pasqual Maragall Foundation Barcelona Spain
- Centro de Investigación Biomédica en Red de Bioingeniería Biomateriales y Nanomedicina (CIBER‐BBN) Madrid Spain
- Universitat Pompeu Fabra Barcelona Spain
| | - Jose Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC) Pasqual Maragall Foundation Barcelona Spain
- Alzheimer's Disease and Other Cognitive Disorders Unit Hospital Clínic Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) Barcelona Spain
| | | | - Henri J.M.M. Mutsaerts
- Department of Radiology and Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
- Ghent Institute for Functional and Metabolic Imaging (GIfMI) Ghent University Ghent Belgium
| | - Craig W. Ritchie
- Centre for Clinical Brain Sciences University of Edinburgh Edinburgh United Kingdom
| | | | - Lisa Vermunt
- Alzheimer Center Amsterdam Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
| | - Adam Waldman
- Centre for Dementia Prevention University of Edinburgh Edinburgh United Kingdom
| | - Alle Meije Wink
- Department of Radiology and Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
| | | | - Viktor Wottschel
- Department of Radiology and Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
- Department of Psychiatry and Neuropsychology School for Mental Health and Neuroscience Maastricht University Maastricht Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
- Institutes of Neurology and Healthcare Engineering University College London London United Kingdom
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21
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Lorenzini L, Ingala S, Wottschel V, Wink AM, Mutsaerts HJMM, Haller S, Blennow K, Schwarz AJ, Gispert JD, Chetelat G, Waldman A, Visser PJ, Tijms BM, Barkhof F. Amyloid‐dependent association of grey matter network disruptions with phospho‐tau in preclinical Alzheimer’s disease. Alzheimers Dement 2020. [DOI: 10.1002/alz.044739] [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: 11/11/2022]
Affiliation(s)
- Luigi Lorenzini
- Department of Radiology and Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
| | - Viktor Wottschel
- Department of Radiology and Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
| | - Alle Meije Wink
- VU University Medical Center Amsterdam Neuroscience Amsterdam Netherlands
| | | | - Sven Haller
- University Hospital Freiburg Freiburg Germany
| | | | | | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC) Pasqual Maragall Foundation Barcelona Spain
| | - Gael Chetelat
- Inserm U1077 Caen‐Normandie University École Pratique des Hautes Études Caen France
| | - Adam Waldman
- Centre for Dementia Prevention University of Edinburgh Edinburgh United Kingdom
| | | | - Betty M Tijms
- Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Amsterdam UMC Vrije Universiteit Amsterdam, Netherlands Amsterdam Netherlands
| | - Frederik Barkhof
- Department of Computer Science and Centre for Medical Image Computing University College London London United Kingdom
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22
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Lorenzini L, Ingala S, Wottschel V, Wink AM, Kuijer J, Sudre CH, Haller S, Molinuevo JL, Gispert JD, Cash DM, Thomas DL, Vos S, Petr J, Wolz R, Pernet C, Waldman A, Barkhof F, Mutsaerts HJMM. ExploreQC: A toolbox for MRI quality control in the EPAD multicentre study. Alzheimers Dement 2020. [DOI: 10.1002/alz.041952] [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: 11/06/2022]
Affiliation(s)
- Luigi Lorenzini
- Department of Radiology and Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine VUMC Amsterdam Netherlands
| | - Viktor Wottschel
- Department of Radiology and Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Alle Meije Wink
- VU University Medical Center, Amsterdam Neuroscience Amsterdam Netherlands
| | - Joost Kuijer
- Department of Physics and Medical Technology VU University Medical Center Amsterdam Netherlands
| | - Carole H Sudre
- UCL Queen Square Institute of Neurology London United Kingdom
| | - Sven Haller
- University Hospital Freiburg Freiburg Germany
| | - Jose Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC) Pasqual Maragall Foundation Barcelona Spain
| | | | - David M Cash
- Centre for Medical Image Computing, UCL London United Kingdom
| | - David L Thomas
- Brain Repair and Rehabilitation UCL Queen Square Institute of Neurology London United Kingdom
| | - Sjoerd Vos
- Centre for Medical Image Computing, UCL London United Kingdom
| | - Jan Petr
- Institute of Radiopharmaceutical Cancer Research, Helmholtz‐Zentrum Dresden‐Rossendorf Dresden Germany
| | | | - Cyril Pernet
- University of Edinburgh Edinburgh United Kingdom
| | - Adam Waldman
- Centre for Dementia Prevention University of Edinburgh Edinburgh United Kingdom
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Giuliani A, Lorenzini L, Baldassarro VA, Pannella M, Cescatti M, Fernandez M, Alastra G, Flagelli A, Villetti G, Imbimbo BP, Giardino L, Calzà L. Effects of Topical Application of CHF6467, a Mutated Form of Human Nerve Growth Factor, on Skin Wound Healing in Diabetic Mice. J Pharmacol Exp Ther 2020; 375:317-331. [PMID: 32948647 DOI: 10.1124/jpet.120.000110] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 08/26/2020] [Indexed: 12/16/2022] Open
Abstract
Nerve growth factor (NGF) is the protein responsible for the development and maintenance of sensory skin innervation. Given the role of appropriate innervation in skin healing, NGF has been indicated as a possible prohealing treatment in pathologic conditions characterized by nerve-ending loss, such as chronic ulcers in diabetes; however, its use as a therapeutic agent is limited by its hyperalgesic effect. We tested the effect of topical application of the nonalgogenic NGF derivative hNGFP61S/R100E in two models of skin ulcer induced in dbdb diabetic mice, investigating healing time, skin histology, reinnervation, and angiogenesis using morphologic and molecular approaches. We showed that the topical administration of CHF6467, a recombinant human NGF in which an amino acid substitution (R100E) abolished the hyperalgesic effect usually associated with NGF, accelerated skin repair in experimental wounds (full-excision and pressure-ulcer) induced in diabetic mice (dbdb). CHF6467-induced acceleration of wound healing was accompanied by increased re-epithelization, reinnervation, and revascularization as assessed by histology, immunohistochemistry, and image analysis. Bioinformatic analysis of differentially expressed genes and signaling pathways in the wound tissues showed that protein kinase B-mammalian target of rapamycin was the most regulated pathway. In spite of the transdermal absorption leading to measurable, dose-dependent increases in CHF6467 plasma levels, no systemic thermal or local mechanical hyperalgesia was observed in treated mice. When tested in vitro in human cell lines, CHF6467 stimulated keratinocyte and fibroblast proliferation and tube formation by endothelial cells. Collectively, these results support a possible use of CHF6467 as a prohealing agent in skin lesions in diabetes. SIGNIFICANCE STATEMENT: Topical application of CHF6467 accelerates reinnervation, neoangiogenesis, and wound healing in diabetic mice in both full-thickness skin-excision and pressure-ulcer models through the protein kinase B/mammalian target of rapamycin pathway and does not induce hyperalgesia.
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Affiliation(s)
- A Giuliani
- Department of Veterinary Medical Science, University of Bologna, Italy (A.G., L.L., M.F., L.G.); Interdepartmental Center for Industrial Research in Life Sciences and Technologies University of Bologna, Italy (L.L., V.A.B., G.A., A.F, L.G., L.C.); Department of of Pharmacy and Biotechnology, University of Bologna, Italy (L.C.); Fondazione IRET, Ozzano Emilia, Italy (M.P., M.C.); Chiesi Farmaceutici, Parma, Italy (G.V., B.P.I.)
| | - L Lorenzini
- Department of Veterinary Medical Science, University of Bologna, Italy (A.G., L.L., M.F., L.G.); Interdepartmental Center for Industrial Research in Life Sciences and Technologies University of Bologna, Italy (L.L., V.A.B., G.A., A.F, L.G., L.C.); Department of of Pharmacy and Biotechnology, University of Bologna, Italy (L.C.); Fondazione IRET, Ozzano Emilia, Italy (M.P., M.C.); Chiesi Farmaceutici, Parma, Italy (G.V., B.P.I.)
| | - V A Baldassarro
- Department of Veterinary Medical Science, University of Bologna, Italy (A.G., L.L., M.F., L.G.); Interdepartmental Center for Industrial Research in Life Sciences and Technologies University of Bologna, Italy (L.L., V.A.B., G.A., A.F, L.G., L.C.); Department of of Pharmacy and Biotechnology, University of Bologna, Italy (L.C.); Fondazione IRET, Ozzano Emilia, Italy (M.P., M.C.); Chiesi Farmaceutici, Parma, Italy (G.V., B.P.I.)
| | - M Pannella
- Department of Veterinary Medical Science, University of Bologna, Italy (A.G., L.L., M.F., L.G.); Interdepartmental Center for Industrial Research in Life Sciences and Technologies University of Bologna, Italy (L.L., V.A.B., G.A., A.F, L.G., L.C.); Department of of Pharmacy and Biotechnology, University of Bologna, Italy (L.C.); Fondazione IRET, Ozzano Emilia, Italy (M.P., M.C.); Chiesi Farmaceutici, Parma, Italy (G.V., B.P.I.)
| | - M Cescatti
- Department of Veterinary Medical Science, University of Bologna, Italy (A.G., L.L., M.F., L.G.); Interdepartmental Center for Industrial Research in Life Sciences and Technologies University of Bologna, Italy (L.L., V.A.B., G.A., A.F, L.G., L.C.); Department of of Pharmacy and Biotechnology, University of Bologna, Italy (L.C.); Fondazione IRET, Ozzano Emilia, Italy (M.P., M.C.); Chiesi Farmaceutici, Parma, Italy (G.V., B.P.I.)
| | - M Fernandez
- Department of Veterinary Medical Science, University of Bologna, Italy (A.G., L.L., M.F., L.G.); Interdepartmental Center for Industrial Research in Life Sciences and Technologies University of Bologna, Italy (L.L., V.A.B., G.A., A.F, L.G., L.C.); Department of of Pharmacy and Biotechnology, University of Bologna, Italy (L.C.); Fondazione IRET, Ozzano Emilia, Italy (M.P., M.C.); Chiesi Farmaceutici, Parma, Italy (G.V., B.P.I.)
| | - G Alastra
- Department of Veterinary Medical Science, University of Bologna, Italy (A.G., L.L., M.F., L.G.); Interdepartmental Center for Industrial Research in Life Sciences and Technologies University of Bologna, Italy (L.L., V.A.B., G.A., A.F, L.G., L.C.); Department of of Pharmacy and Biotechnology, University of Bologna, Italy (L.C.); Fondazione IRET, Ozzano Emilia, Italy (M.P., M.C.); Chiesi Farmaceutici, Parma, Italy (G.V., B.P.I.)
| | - A Flagelli
- Department of Veterinary Medical Science, University of Bologna, Italy (A.G., L.L., M.F., L.G.); Interdepartmental Center for Industrial Research in Life Sciences and Technologies University of Bologna, Italy (L.L., V.A.B., G.A., A.F, L.G., L.C.); Department of of Pharmacy and Biotechnology, University of Bologna, Italy (L.C.); Fondazione IRET, Ozzano Emilia, Italy (M.P., M.C.); Chiesi Farmaceutici, Parma, Italy (G.V., B.P.I.)
| | - G Villetti
- Department of Veterinary Medical Science, University of Bologna, Italy (A.G., L.L., M.F., L.G.); Interdepartmental Center for Industrial Research in Life Sciences and Technologies University of Bologna, Italy (L.L., V.A.B., G.A., A.F, L.G., L.C.); Department of of Pharmacy and Biotechnology, University of Bologna, Italy (L.C.); Fondazione IRET, Ozzano Emilia, Italy (M.P., M.C.); Chiesi Farmaceutici, Parma, Italy (G.V., B.P.I.)
| | - B P Imbimbo
- Department of Veterinary Medical Science, University of Bologna, Italy (A.G., L.L., M.F., L.G.); Interdepartmental Center for Industrial Research in Life Sciences and Technologies University of Bologna, Italy (L.L., V.A.B., G.A., A.F, L.G., L.C.); Department of of Pharmacy and Biotechnology, University of Bologna, Italy (L.C.); Fondazione IRET, Ozzano Emilia, Italy (M.P., M.C.); Chiesi Farmaceutici, Parma, Italy (G.V., B.P.I.)
| | - L Giardino
- Department of Veterinary Medical Science, University of Bologna, Italy (A.G., L.L., M.F., L.G.); Interdepartmental Center for Industrial Research in Life Sciences and Technologies University of Bologna, Italy (L.L., V.A.B., G.A., A.F, L.G., L.C.); Department of of Pharmacy and Biotechnology, University of Bologna, Italy (L.C.); Fondazione IRET, Ozzano Emilia, Italy (M.P., M.C.); Chiesi Farmaceutici, Parma, Italy (G.V., B.P.I.)
| | - L Calzà
- Department of Veterinary Medical Science, University of Bologna, Italy (A.G., L.L., M.F., L.G.); Interdepartmental Center for Industrial Research in Life Sciences and Technologies University of Bologna, Italy (L.L., V.A.B., G.A., A.F, L.G., L.C.); Department of of Pharmacy and Biotechnology, University of Bologna, Italy (L.C.); Fondazione IRET, Ozzano Emilia, Italy (M.P., M.C.); Chiesi Farmaceutici, Parma, Italy (G.V., B.P.I.)
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Bianco F, Ricci F, Catozzi C, Murgia X, Schlun M, Bucholski A, Hetzer U, Bonelli S, Lombardini M, Pasini E, Nutini M, Pertile M, Minocchieri S, Simonato M, Rosa B, Pieraccini G, Moneti G, Lorenzini L, Catinella S, Villetti G, Civelli M, Pioselli B, Cogo P, Carnielli V, Dani C, Salomone F. From bench to bedside: in vitro and in vivo evaluation of a neonate-focused nebulized surfactant delivery strategy. Respir Res 2019; 20:134. [PMID: 31266508 PMCID: PMC6604359 DOI: 10.1186/s12931-019-1096-9] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [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: 02/24/2019] [Accepted: 06/12/2019] [Indexed: 01/17/2023] Open
Abstract
Background Non-invasive delivery of nebulized surfactant has been a neonatology long-pursued goal. Nevertheless, the clinical efficacy of nebulized surfactant remains inconclusive, in part, due to the great technical challenges of depositing nebulized drugs in the lungs of preterm infants. The aim of this study was to investigate the feasibility of delivering nebulized surfactant (poractant alfa) in vitro and in vivo with an adapted, neonate-tailored aerosol delivery strategy. Methods Particle size distribution of undiluted poractant alfa aerosols generated by a customized eFlow-Neos nebulizer system was determined by laser diffraction. The theoretical nebulized surfactant lung dose was estimated in vitro in a clinical setting replica including a neonatal continuous positive airway pressure (CPAP) circuit, a cast of the upper airways of a preterm neonate, and a breath simulator programmed with the tidal breathing pattern of an infant with mild respiratory distress syndrome (RDS). A dose-response study with nebulized surfactant covering the 100–600 mg/kg nominal dose-range was conducted in RDS-modelling, lung-lavaged spontaneously-breathing rabbits managed with nasal CPAP. The effects of nebulized poractant alfa on arterial gas exchange and lung mechanics were assessed. Exogenous alveolar disaturated-phosphatidylcholine (DSPC) in the lungs was measured as a proxy of surfactant deposition efficacy. Results Laser diffraction studies demonstrated suitable aerosol characteristics for inhalation (mass median diameter, MMD = 3 μm). The mean surfactant lung dose determined in vitro was 13.7% ± 4.0 of the 200 mg/kg nominal dose. Nebulized surfactant delivered to spontaneously-breathing rabbits during nasal CPAP significantly improved arterial oxygenation compared to animals receiving CPAP only. Particularly, the groups of animals treated with 200 mg/kg and 400 mg/kg of nebulized poractant alfa achieved an equivalent pulmonary response in terms of oxygenation and lung mechanics as the group of animals treated with instilled surfactant (200 mg/kg). Conclusions The customized eFlow-Neos vibrating-membrane nebulizer system efficiently generated respirable aerosols of undiluted poractant alfa. Nebulized surfactant delivered at doses of 200 mg/kg and 400 mg/kg elicited a pulmonary response equivalent to that observed after treatment with an intratracheal surfactant bolus of 200 mg/kg. This bench-characterized nebulized surfactant delivery strategy is now under evaluation in Phase II clinical trial (EUDRACT No.:2016–004547-36). Electronic supplementary material The online version of this article (10.1186/s12931-019-1096-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- F Bianco
- Department of Preclinical Pharmacology, R&D, Chiesi Farmaceutici S.p.A, Parma, Italy
| | - F Ricci
- Department of Preclinical Pharmacology, R&D, Chiesi Farmaceutici S.p.A, Parma, Italy
| | - C Catozzi
- Department of Preclinical Pharmacology, R&D, Chiesi Farmaceutici S.p.A, Parma, Italy
| | - X Murgia
- Scientific Consultancy, Saarbrücken, Germany
| | - M Schlun
- PARI Pharma GmbH, Starnberg, Germany
| | | | - U Hetzer
- PARI Pharma GmbH, Starnberg, Germany
| | - S Bonelli
- Department of Preclinical Pharmacology, R&D, Chiesi Farmaceutici S.p.A, Parma, Italy
| | - M Lombardini
- Department of Preclinical Pharmacology, R&D, Chiesi Farmaceutici S.p.A, Parma, Italy
| | - E Pasini
- Department of Preclinical Pharmacology, R&D, Chiesi Farmaceutici S.p.A, Parma, Italy
| | - M Nutini
- Department of Preclinical Pharmacology, R&D, Chiesi Farmaceutici S.p.A, Parma, Italy
| | - M Pertile
- Department of Preclinical Pharmacology, R&D, Chiesi Farmaceutici S.p.A, Parma, Italy
| | - S Minocchieri
- Division of Neonatology, Cantonal Hospital Winterthur, Winterthur, Switzerland
| | - M Simonato
- Pediatric Research Institute "Città della Speranza", Padova, Italy
| | - B Rosa
- Department of Preclinical Pharmacology, R&D, Chiesi Farmaceutici S.p.A, Parma, Italy
| | - G Pieraccini
- Mass Spectrometry Center (CISM), Polo Biomedico, Careggi University Hospital of Florence, Florence, Italy
| | - G Moneti
- Mass Spectrometry Center (CISM), Polo Biomedico, Careggi University Hospital of Florence, Florence, Italy
| | - L Lorenzini
- Health Science and Technologies Interdepartmental Center for Industrial Research (HST-ICIR), University of Bologna, Bologna, Italy
| | - S Catinella
- Department of Preclinical Pharmacology, R&D, Chiesi Farmaceutici S.p.A, Parma, Italy
| | - G Villetti
- Department of Preclinical Pharmacology, R&D, Chiesi Farmaceutici S.p.A, Parma, Italy
| | - M Civelli
- Department of Preclinical Pharmacology, R&D, Chiesi Farmaceutici S.p.A, Parma, Italy
| | - B Pioselli
- Department of Preclinical Pharmacology, R&D, Chiesi Farmaceutici S.p.A, Parma, Italy
| | - P Cogo
- Division of Pediatrics, Department of Medicine, University of Udine, Udine, Italy
| | - V Carnielli
- Polytechnic University of Marche and Azienda Ospedaliero-Universitaria Ospedali Riuniti, Ancona, Italy
| | - C Dani
- Department of Neurosciences, Psychology, Drug Research and Child Health, University of Florence School of Medicine, Careggi University Hospital of Florence, Viale Morgagni, 85, Florence, Italy.
| | - F Salomone
- Department of Preclinical Pharmacology, R&D, Chiesi Farmaceutici S.p.A, Parma, Italy
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Panasiti MS, Ponsi G, Monachesi B, Lorenzini L, Panasiti V, Aglioti SM. Cognitive load and emotional processing in psoriasis: a thermal imaging study. Exp Brain Res 2018; 237:211-222. [PMID: 30374785 DOI: 10.1007/s00221-018-5416-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Accepted: 10/24/2018] [Indexed: 10/28/2022]
Abstract
Psoriasis is a chronic dermatologic disease which is frequently associated with psychological distress. Although studies suggest a relationship between this condition and difficulties in emotion regulation, behavioral and physiological evidence about this link is scarce. We measured implicit emotion regulation abilities of psoriasis patients and a healthy control group by examining the impact of distracting emotional (positive, negative or neutral) images on a working memory task ("Emotional N-Back") which could present high (2-back) or low (1-back) cognitive workload. Moreover, we used Functional Infrared Thermal Imaging to record participants' facial temperature and obtain a measure of the activation of the autonomic system. Rising of temperature over the peri-orbital areas and the nose tip are believed to reflect the activation and the de-activation of the sympathetic system, respectively. Patients scored higher than controls on the "Lack of emotional clarity" sub-scale of the Difficulties in Emotion Regulation Scale. Compared to controls, who performed much better in the low vs. high cognitive load condition, patients showed a smaller accuracy difference between the two conditions. Moreover, patients showed less sympathetic (lower peri-orbital and higher nasal tip temperature) activity (especially in the negative and neutral blocks) during the high vs. low cognitive load condition, suggesting that the former condition might be less emotionally demanding for them. Patients benefit more than controls from the load-dependent interference effect when dealing with emotional information; thus, therapeutic techniques aiming at teaching how to use cognitive strategies to downregulate emotions might be particularly appropriated for them.
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Affiliation(s)
- Maria Serena Panasiti
- Department of Psychology, Sapienza University of Rome, Via dei Marsi, 78, 00185, Rome, Italy. .,IRCCS Santa Lucia Foundation, Rome, Italy.
| | - Giorgia Ponsi
- Department of Psychology, Sapienza University of Rome, Via dei Marsi, 78, 00185, Rome, Italy.,IRCCS Santa Lucia Foundation, Rome, Italy
| | - Bianca Monachesi
- Department of Psychology, Sapienza University of Rome, Via dei Marsi, 78, 00185, Rome, Italy.,IRCCS Santa Lucia Foundation, Rome, Italy
| | - Luigi Lorenzini
- Department of Psychology, Sapienza University of Rome, Via dei Marsi, 78, 00185, Rome, Italy.,IRCCS Santa Lucia Foundation, Rome, Italy
| | - Vincenzo Panasiti
- Plastic and Reconstructive Surgery Unit, Campus Bio-Medico University of Rome, Rome, Italy
| | - Salvatore Maria Aglioti
- Department of Psychology, Sapienza University of Rome, Via dei Marsi, 78, 00185, Rome, Italy.,IRCCS Santa Lucia Foundation, Rome, Italy
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Borghi B, Fanelli G, Celleno D, Caroli G, Pignotti E, Montebugnoli M, De Simone N, Righi U, Bugamelli S, Laguardia AM, Cataldi F, Feoli MA, Bonfatti Paini M, Bombardini T, Lorenzini L, Castellazzi L, Baroncini S. Autotransfusion with Predeposit-Haemodilution and Perioperative Blood Salvage: 20 Years of Experience. Int J Artif Organs 2018. [DOI: 10.1177/039139889902200409] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background Through a prospective study, we evaluated the efficacy of an integrated autotransfusion regimen comprised of predeposit-hemodiluition and intra and post-operative blood salvage in major orthopaedic surgery. Methods We examined the records of 2303 consecutive patients (1524 females and 779 males, mean age 62.7, standard deviation 11 years (range 16–90 yrs), pre-operative haemoglobin (Hb) concentration 13.5 (SD 1.4) (range 6.7–19.3) g/dl undergong total hip arthroplasty (THA 1582 patients), THA after the removal of internal fixation devices (RFD+THA, 25 patients), total knee arthroplasty (TKA, 347 patients), revision surgery of the hip (HR, cup+stem revision, 248 patients; cup revision 64 patients; stem revision 23 patients) and total knee revision (TKR 14 patients). We estimated that the number of predonations (MSBOS - maximum surgery blood order schedule) was 2 units for THA, TKA and TKR, and 3 units for partial or total hip revision and for total hip arthroplasty with fixation removal. Results It was possible to obtain the MSBOS in 2070 patients (89.8%). Homologous red blood cell (HRBC) transfusion were carried out in 184 patients (8%). We found that the need to use HRBC was significantly associated with failure to meet the number of MSBOS, female sex, lower pre-operative Hb concentration, use of calcium heparin for antithrombosis prophylaxis, more extensive surgery, a higher ASA rating and co-existing diseases such as coronary artery disease. Conclusions Cooperation among anaesthesis, transfusionists and surgeons in the application of an integrated autotransfusion regimen enabled us to treat 92% of our patients with only autotransfusion.
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Affiliation(s)
- B. Borghi
- Department of Anaesthesiology, IRCSS Rizzoli Orthopaedic Institutes, Bologna
| | - G. Fanelli
- Department of Anaesthesiology, IRCSS San Raffaele Hospital, University of Milano, Milano
| | - D. Celleno
- Department of Anesthesiology, AFaR CRCCS Fatebenefratelli General Hospital, Roma - Italy
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27
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Sivilia S, Mangano C, Beggiato S, Giuliani A, Torricella R, Baldassarro VA, Fernandez M, Lorenzini L, Giardino L, Borelli AC, Ferraro L, Calzà L. CDKL5 knockout leads to altered inhibitory transmission in the cerebellum of adult mice. Genes, Brain and Behavior 2016; 15:491-502. [DOI: 10.1111/gbb.12292] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Revised: 03/20/2016] [Accepted: 04/02/2016] [Indexed: 12/29/2022]
Affiliation(s)
- S. Sivilia
- Department of Veterinary Medical Science; University of Bologna; Bologna
| | - C. Mangano
- Department of Veterinary Medical Science; University of Bologna; Bologna
| | - S. Beggiato
- Department of Medical Sciences; University of Ferrara; Ferrara
| | - A. Giuliani
- Department of Veterinary Medical Science; University of Bologna; Bologna
| | - R. Torricella
- Health Science and Technologies Interdepartmental Center for Industrial Research (HST-ICIR); University of Bologna; Bologna
| | - V. A. Baldassarro
- Health Science and Technologies Interdepartmental Center for Industrial Research (HST-ICIR); University of Bologna; Bologna
| | - M. Fernandez
- Health Science and Technologies Interdepartmental Center for Industrial Research (HST-ICIR); University of Bologna; Bologna
| | - L. Lorenzini
- Health Science and Technologies Interdepartmental Center for Industrial Research (HST-ICIR); University of Bologna; Bologna
| | - L. Giardino
- Department of Veterinary Medical Science; University of Bologna; Bologna
- Health Science and Technologies Interdepartmental Center for Industrial Research (HST-ICIR); University of Bologna; Bologna
| | - A. C. Borelli
- Department of Medical Sciences; University of Ferrara; Ferrara
| | - L. Ferraro
- Department of Life Sciences and Biotechnology; University of Ferrara; Ferrara
| | - L. Calzà
- Department of Veterinary Medical Science; University of Bologna; Bologna
- Health Science and Technologies Interdepartmental Center for Industrial Research (HST-ICIR); University of Bologna; Bologna
- Department of Pharmacy and Biotechnology; University of Bologna; Bologna Italy
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28
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Beggiato S, Giuliani A, Sivilia S, Lorenzini L, Antonelli T, Imbimbo B, Giardino L, Calzà L, Ferraro L. CHF5074 and LY450139 sub-acute treatments differently affect cortical extracellular glutamate levels in pre-plaque Tg2576 mice. Neuroscience 2014; 266:13-22. [DOI: 10.1016/j.neuroscience.2014.01.065] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2013] [Revised: 01/30/2014] [Accepted: 01/31/2014] [Indexed: 02/01/2023]
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29
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Dell'Acqua ML, Lorenzini L, D'Intino G, Sivilia S, Pasqualetti P, Panetta V, Paradisi M, Filippi MM, Baiguera C, Pizzi M, Giardino L, Rossini PM, Calzà L. Functional and molecular evidence of myelin- and neuroprotection by thyroid hormone administration in experimental allergic encephalomyelitis. Neuropathol Appl Neurobiol 2012; 38:454-70. [PMID: 22007951 DOI: 10.1111/j.1365-2990.2011.01228.x] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
AIMS Recent data in mouse and rat demyelination models indicate that administration of thyroid hormone (TH) has a positive effect on the demyelination/remyelination balance. As axonal pathology has been recognized as an early neuropathological event in multiple sclerosis, and remyelination is considered a pre-eminent neuroprotective strategy, in this study we investigated whether TH administration improves nerve impulse propagation and protects axons. METHODS We followed up the somatosensory evoked potentials (SEPs) in triiodothyronine (T3)-treated and untreated experimental allergic encephalomyelitis (EAE) Dark-Agouti female rats during the electrical stimulation of the tail nerve. T3 treatment started on the 10th day post immunization (DPI) and a pulse administration was continued until the end of the study (33 DPI). SEPs were recorded at baseline (8 DPI) and the day after each hormone/ vehicle administration. RESULTS T3 treatment was associated with better outcome of clinical and neurophysiological parameters. SEPs latencies of the two groups behaved differently, being briefer and closer to control values (=faster impulse propagation) in T3-treated animals. The effect was evident on 24 DPI. In the same groups of animals, we also investigated axonal proteins, showing that T3 administration normalizes neurofilament immunoreactivity in the fasciculus gracilis and tau hyperphosphorylation in the lumbar spinal cord of EAE animals. No sign of plasma hyperthyroidism was found; moreover, the dysregulation of TH nuclear receptor expression observed in the spinal cord of EAE animals was corrected by T3 treatment. CONCLUSIONS T3 supplementation results in myelin sheath protection, nerve conduction preservation and axon protection in this animal model of multiple sclerosis.
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Affiliation(s)
- M L Dell'Acqua
- Department of Neurology, University Campus Bio-Medico, Rome, Italy
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30
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D'Intino G, Lorenzini L, Fernandez M, Taglioni A, Perretta G, Del Vecchio G, Villoslada P, Giardino L, Calzà L. Triiodothyronine administration ameliorates the demyelination/remyelination ratio in a non-human primate model of multiple sclerosis by correcting tissue hypothyroidism. J Neuroendocrinol 2011; 23:778-90. [PMID: 21707794 DOI: 10.1111/j.1365-2826.2011.02181.x] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [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] [Indexed: 12/25/2022]
Abstract
Remyelination failure is a key landmark in chronic progression of multiple sclerosis (MS), the most diffuse demyelinating disease in human, but the reasons for this are still unknown. It has been shown that thyroid hormone administration in the rodent models of acute and chronic demyelinating diseases improved their clinical course, pathology and remyelination. In the present study, we translated this therapeutic attempt to experimental allergic encephalomyelitis (EAE) in the non-human primate Callithrix Jacchus (marmoset). We report that short protocols of triiodothyronine treatment shifts the demyelination/remyelination balance toward remyelination, as assessed by morphology, immunohistochemistry and molecular biology, and improves the clinical course of the disease. We also found that severely ill animals display hypothyroidism and severe alteration of deiodinase and thyroid hormone receptor mRNAs expression in the spinal cord, which was completely corrected by thyroid hormone treatment. We therefore suggest that thyroid hormone treatment improves myelin sheath morphology in marmoset EAE, by correcting the dysfunction of thyroid hormone cellular effectors.
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Affiliation(s)
- G D'Intino
- Department of Veterinary Medical Sciences, University of Bologna, Bologna, Italy
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31
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Fabbri G, Fantini MP, Buggi F, Carretta E, Lorenzini L, Piperno R, Matera N, Leo MR, Coulter DL. The Morfeo Study: A 1-year follow-up of complications of vegetative state in a dedicated facility. Brain Inj 2010; 24:620-4. [DOI: 10.3109/02699051003652831] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Sivilia S, Paradisi M, D'Intino G, Fernandez M, Pirondi S, Lorenzini L, Calzà L. Skin homeostasis during inflammation: a role for nerve growth factor. Histol Histopathol 2007; 23:1-10. [PMID: 17952852 DOI: 10.14670/hh-23.1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The skin is a neuroendocrine immune organ in which many different molecules operate in autocrine-paracrine manner to guarantee tissue homeostatsis in physiological and pathophysiological conditions. In this paper we examined NGF and p75 receptor expression in the skin, during CFA induced inflammation, in a time-course study. We also examined cutaneus innervation and proliferation, by means of immunohistochemistry and quantitative image analysis, RT-PCR and Western blot. Spontaneous and evoked pain-behavior was also measured in experimental rats. The main results can be summarized as follows: 1). a peripheral sensory neuropathy develops in this condition, as indicated by thermal hyperalgesia, thus leading to a sensory denervation of the hind-paw skin as indicated by disappearance of CGRP and PGP9.5-IR fibers; 2). NGF and p75 expression (mRNA and protein) increases in the skin (keratinocytes) in the acute phase of CFA inflammation; 3). at this stage, a higher proliferative activity is observed in the skin, as defined by the expression of cell cycle-associated protein Ki67; 4). in the long-lasting chronic phase there is a further up-regulation of NFG and p75 expression in the skin; 5). trkA mRNA expression inversely correlates with p75 and NGF mRNA expression. These results suggest that CFA chronic inflammation evolves from inflammation to a small fibers sensory neuropathy and NGF seems to play a role in both events.
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Affiliation(s)
- S Sivilia
- Department of Veterinary Morphophysiology and Animal Production (DIMORFIPA), University of Bologna, Bologna, Italy
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Rucco V, Lorenzini L, Pellegrini E. Clawed toes deformity due to spasticity of the extensor digitorum muscle. A case report. Eura Medicophys 2004; 40:269-72. [PMID: 16175149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Spasticity is a characteristic and early component of the lesions of the pyramidal tract of demyelinising diseases such as multiple sclerosis, and is included in the chief neurological scales to evaluate this disease. We report the case of a woman with a clawed toes deformity caused by spasticity of the extensor digitorum (longus and brevis) muscles.
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Affiliation(s)
- V Rucco
- Operative Rehabilitation Unit, Spilimbergo Hospital, Spilimbergo (PN), Italy.
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Abstract
Venous flow pattern changes and venous flow were assessed in relation to the degree of hemodilution. Femoral vein flow was measured with a duplex scanner in two groups of 11 patients 20 days and 5 days preoperatively, and 1 day postoperatively. In group I, hemodilution was used and patients gave three autologous blood predonations between day 20 and day 5. Perioperative blood loss was reintegrated by electrolyte solution. In group II, hemodilution was not used and autologous blood predonations were not carried out. These patients received a perioperative homologous blood transfusion of 800 mL. Hemoglobin was lower on day 5 (11.3 +/-1.4 vs 13.1 +/-1 g/dL, p<0.05) and on postoperative day 1 (8.9 +/-1.6 vs 10.6 +/-1, p<0.05) in group I. The decrease in hemoglobin was associated with an increase in blood flow and a pulsed venous flow pattern in 14 of 22 veins after autologous blood predonation and in 21 of 22 veins on postoperative day 1 (p<0.05). Increased venous flow in hemodilution is associated with a pulsed venous flow pattern.
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Affiliation(s)
- T Bombardini
- IRCCS Rizzoli, Via Amendola 43, 40026 Bologna, Italy.
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Vannucchi A, Paoletti F, Linari S, Cellai C, Lorenzini L, Sanchez M, Migliaccio G, Migliaccio A. GATA-1Low mice respond more readily than their normal littermates to in vivo perturbations of erythropoiesis. Exp Hematol 2000. [DOI: 10.1016/s0301-472x(00)00330-1] [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: 11/26/2022]
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Bossuto E, Bonatti L, Schieroni R, Villata E, Bacino A, Galliano R, Lorenzini L, Borello G, Butera F, Massaioli N. [Gasless laparoscopic cholecystectomy. Our experience with 130 cases compared with 450 cases treated with the CO2 technique]. MINERVA CHIR 2000; 55:201-3. [PMID: 10859952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Alongside the technique based on the creation of an abdominal cavity for surgery following the introduction of gas (usually CO2) into the peritoneal cavity, a new method has been developed. This involves the use of an atraumatic mechanical lifting device connected to the same abdominal wall (gasless laparoscopy). The authors report a technique that uses an inflatable cushion inserted into the abdomen through a periumbilical incision. The cushion is connected to an external motorized hydraulic jack fixed to the operating table, fitted with an electric motor and friction gear. Between May 1991 and June 1998, 580 patients underwent laparoscopic cholecystectomy. Since December 1995 a total of 130 patients have undergone surgery using gasless laparoscopy. Shoulder pain and pain in the upper abdominal quadrant were no longer reported; pain was present in 70% of the patients operated using the CO2 technique. There was also a marked reduction in the anesthesiological risks, above all in elderly patients with cardiopulmonary insufficiency. Surgical manoeuvres are made easier owing to the possibility of using traditional surgical instruments. Washing and continuous aspiration allow a good control of intraoperative hemostasis, and reduce the phenomenon of lens misting without the risk of losing pneumoperitoneum. Less visibility of the surgical field was reported, particularly in obese patients, above all because of the reduced diaphragmatic distension and the lack of displacement of the intestinal loops. In the authors' opinion the gasless technique is suitable above all in patients affected by cardiopulmonary disorders in whom hypercapnia might represent a significant operating risk.
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Affiliation(s)
- E Bossuto
- IV Divisione Universitaria di Chirurgia Generale, Università degli Studi, Torino
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37
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Lorenzini L, Bertelli L, Lorenzi M. [Arterial supply in the left colonic flexure]. Ann Ital Chir 1999; 70:691-8. [PMID: 10692789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Abstract
The authors study the behaviour of the middle colic, left colic superior, middle and inferior and the first sigmoidal arteries in the territory of the terminal portion of the transverse colon, the left colonic flexure and the descending colon. The study was carried out on 1200 angiographies of the superior and inferior mesenteric aa. and on 150 anatomical specimens, surgically extirpated in the course of left emicolectomy operations. Contrary to what is believed by most authors, the left flexure is a colonic tract very well supplied by blood while the descending colon results to be poorly supplied, being served only by one artery (the left sup. colic a.) often of limited caliber and with branches (the middle and the inf. left colic aa.) sometimes totally or partially lacking. In this last colonic tract the vascular continuity, represented by the arterial arcades, is often interrupted. The Riolan's arcade, variously shaped, is to be considered a constant vascular structure (only once it was lacking in this study). Sometimes it is doubled by a second more internal arcade which must not be confused with the intermesenteric arcade. In four of the observed cases, the Riolan's arcade resulted strengthened by a second retroperitoneal arcade, derived from a branching of the middle colic a., whose branches of division went to the two colonic flexures and descended along the postero-lateral walls of the ascending and descending colon, often parallel to the regular abdominal branches. Exceptionally the colonic flexure is supplied by the only left colic a., which behaves as a specific artery, by us called "dominant artery". The central branches of the artery go to the flexure while the lateral ones join the branches of the middle colic and the first sigmoidal aa., effecting tenuous connections, surgically unreliable. In this case the arterial continuity of the Riolan's arcade can be considered interrupted, at least for the surgical practice. The intermesenteric arcade, in its three forms (direct, mixed and indirect), was observed in 20% of the cases. The colic marginal a. is considered by the authors a tier of arches formed by the colic aa. The left colonic flexure is also supplied by particular vessels originated from the middle colic and the left colic aa. (angular branches and arcades and bridge-branches) or from the superior mesenteric a. (angular artery of Donati) and from other sources, particularly from the splenic a. These vessels then join the colic "vasa recta" through the phrenocolic ligament and the marginal omental vessels. This research shows that the vascular continuity of the left colon is not a constant element, able to reassure the surgeon, for possible interruptions that may occur in its composition.
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Affiliation(s)
- L Lorenzini
- Istituto di Chirurgia Generale, Università degli Studi di Siena
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Bertelli L, Lorenzini L, Bertelli E. The arterial vascularization of the large intestine. Anatomical and radiological study. Surg Radiol Anat 1996; 18 Suppl 1:A1-6, S1-59. [PMID: 9122831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Affiliation(s)
- L Bertelli
- Institute of human normal anatomy, Institute of general surgery, University of Siena, Italy
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39
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Massaioli N, Marchesa P, Bacino A, Galliano R, Borello G, Bonatti L, Lorenzini L. [Antibiotic prophylaxis with ++vancomycin in corrective surgery with alloplastic material]. MINERVA CHIR 1995; 50:827-9. [PMID: 8587722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
The authors report a controlled series of 40 patients treated for recidivating inguinal hernia and laparocele with the implant of alloplastic material. Short-term prophylaxis with vancomycin was performed in all cases. The antibiotic was found to be well tolerated at the doses used and this was associated with a good clinical success rate. The use of vancomycin in prophylaxis for this type of surgery is considered a rational choice and the use of short-term prophylaxis reduces the risks linked to possible collateral effects.
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Affiliation(s)
- N Massaioli
- IV Divisione Universitaria di Chirurgia Generale, Ospedale San Giovanni Battista e della Città di Torino
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Lorenzini L, De Martino A, Testi W, Sorbellini F, Dispensa E, Tabucchi A, Carlucci F, Rosi F. Behavior of enzymes involved in purine nucleotide metabolism in tumors. Adv Exp Med Biol 1995; 370:213-8. [PMID: 7660893 DOI: 10.1007/978-1-4615-2584-4_46] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- L Lorenzini
- Institute of Biochemistry and Enzymology, University of Siena, Italy
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Lorenzini L, De Martino A, Testi W, Sorbellini F, Catinella S, Traldi P, Marinello E, Porcelli B. Pattern of methylated purine bases in urine of cancer patients. Analysis by mass spectrometry. Adv Exp Med Biol 1995; 370:269-73. [PMID: 7660905 DOI: 10.1007/978-1-4615-2584-4_57] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- L Lorenzini
- Institute of General Surgery, University of Siena, Italy
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Lorenzini L, De Martino A, Testi W, Sorbellini F, Bisozzi L, Terzuoli L, Leoncini R, Pizzichini M, Marinello E, Pagani R. Radioimmunoassay of folic acid and its correlation with age. Adv Exp Med Biol 1995; 370:791-3. [PMID: 7661025 DOI: 10.1007/978-1-4615-2584-4_166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Affiliation(s)
- L Lorenzini
- Institute of General Surgery, University of Siena, Italy
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Porcelli B, Pagani R, Lorenzini L, De Martino A, Catinella S, Traldi P. Different mass spectrometric approaches in the identification of endogenous methylated purine bases in urine extracts. Rapid Commun Mass Spectrom 1994; 8:443-450. [PMID: 8043914 DOI: 10.1002/rcm.1290080603] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
A preliminary identification of endogenous and exogenous methylated purine bases in urinary extracts of healthy and tumor-bearing subjects has been performed using high performance liquid chromatography, and tandem mass spectrometry (MS/MS). MS/MS gave particularly fast and sensitive analyses, allowing the simultaneous and rapid determination of 26 different urinary methylated purines. Both sets of data confirm that tumor-bearing patients show changed levels of methylated purine bases.
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Affiliation(s)
- B Porcelli
- Istituto di Biochimica ed Enzimologia, Siena, Italy
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44
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Francini G, Petrioli R, Lorenzini L, Mancini S, Armenio S, Tanzini G, Marsili S, Aquino A, Marzocca G, Civitelli S. Folinic acid and 5-fluorouracil as adjuvant chemotherapy in colon cancer. Gastroenterology 1994; 106:899-906. [PMID: 8143995 DOI: 10.1016/0016-5085(94)90748-x] [Citation(s) in RCA: 143] [Impact Index Per Article: 4.8] [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] [Indexed: 02/08/2023]
Abstract
BACKGROUND/AIMS Colon cancer is one of the major health problems in industrialized countries, and its incidence appears to be increasing. Surgical resectability is the most important prognostic determinant, although despite apparently curative surgery, recurrent tumors are common. Metastatic disease cannot be cured, and thus, there is a need for better adjuvant therapies. METHODS Two hundred and thirty-nine patients with surgically resected colon cancer in Dukes' stage B2 or C were randomly assigned to chemotherapy or observation alone to determine whether adjuvant chemotherapy could effectively reduce the rate of cancer recurrence. One hundred and twenty-one patients in stage B2 and 118 patients in stage C were enrolled in the study. Adjuvant treatment consisted of folinic acid 200 mg/m2, intravenously, plus 5-fluorouracil 400 mg/m2, intravenously, on days 1-5 every 4 weeks for 12 cycles. RESULTS In stage B2, no significant difference between the adjuvant arm and the observation arm was noted. In stage C, adjuvant chemotherapy produced an advantage over observation in terms of a reduction in cancer recurrence rate with prolongation of a disease-free interval (P = 0.0016) and an improvement in overall survival (P = 0.0025). CONCLUSIONS This study shows that folinic acid plus 5-fluorouracil adjuvant chemotherapy is effective in patients with surgically resected Dukes' stage C colon carcinoma.
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Affiliation(s)
- G Francini
- Institute of Medical Pathology, S. Maria della Scala Hospital, University of Siena, Italy
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45
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Sgaragli GP, Valoti M, Fusi F, Palmi M, Mantovani P, De Santi MM, Lorenzini L, Tosi P. Toxic injury to rat gut musculature following intraperitoneal administration of 2-t-butyl-4-methoxyphenol. Eur J Pharmacol 1993; 248:121-9. [PMID: 8223957 DOI: 10.1016/0926-6917(93)90033-m] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
The 100-fold increase in toxicity of intraperitoneal (i.p.) rather than orally administered 2-t-butyl-4-methoxyphenol (BHA) is adduced to the depressive effect which this compound exerts on the contractility of the gut musculature. A structure/activity relation study shows the t-butyl group on the benzene ring as being the major determinant of i.p. BHA toxicity. Contractile activity, elicited by field electrical stimulation, acetylcholine or Ba2+, of the ileum longitudinal muscle preparation from BHA-treated rats was greatly reduced 30 min after i.p. injection, and almost absent during the subsequent 48 h. Electron-microscope examination of ileum longitudinal muscle also showed partial destruction of cell membranes 4 h after BHA administration with subsequent mitochondrial swelling and destruction of cristae, myofibrillar fragmentation and cell necrosis. Comparable suppression of contractile activity and morphological damage were observed in BHA or t-butylbenzene incubated ileum segments where longitudinal smooth muscle contractility was irreversibly depressed in a time- and dose-dependent manner. These convergent findings point to the toxic effect of i.p. BHA on gut musculature with consequent impairment of intestinal transit.
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Affiliation(s)
- G P Sgaragli
- Istituto di Scienze Farmacologiche, Università degli Studi di Siena, Italy
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Ficcadenti A, Lorenzini L, Brocani P, Celani P, Kantar A, Chiaramoni L, Gabrielli O. [Fryns syndrome. Description of a case]. Pathologica 1993; 85:233-9. [PMID: 8361787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
We report on a female infant who presents a pattern of malformations including dysmorphic facies, Dandy-Walker anomaly, hypoplasia of the upper lobe of the right lung, associated with diaphragmatic elevation and slight digital anomalies. This whole clinical picture allows us to formulate the diagnosis of Fryns syndrome; this is one of the very few not lethal cases that are reported in literature.
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Affiliation(s)
- A Ficcadenti
- Istituto di Clinica Pediatrica, l'Università di Ancona
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47
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Tosi P, Leoncini L, Del Vecchio MT, Spina D, Lorenzini L, Barbini P, Massai MR, Pileri S, Sabattini E, Kraft R. Phenotypic overlaps between pleomorphic malignant T-cell lymphomas and mixed-cellularity Hodgkin's disease. Int J Cancer 1992; 52:202-7. [PMID: 1521909 DOI: 10.1002/ijc.2910520208] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Histologically diagnosed, or in part questionable, malignant pleomorphic peripheral T-cell lymphomas (pPTCLs, n = 16) and mixed-cellularity Hodgkin's disease (MCHD, n = 12) were objectively compared by the use of combined immunohistochemistry on paraffin sections, test-point analysis of tissue components, and semi-automated nuclear morphometry on semi-thin resin sections. Classical, qualitative histomorphological distinction of these sub-types of lymphomas proved to be valid and is probably still the best method. Quantitative discriminant features, in order of decreasing significance, were: (i) expression by large atypical cells (LACs) of CD45R0, CD43 and CD45 in pPTCLs, and of CD30 and CD15 in MCHD; (ii) means and standard deviations (SDs) of LAC nuclear-profile areas (greater in MCHD than in pPTCLs); (iii) expression of CD3 by LACs in pPTCLs; (iv) prominence of small lymphoid cells in MCHD; (v) higher percentage of medium-sized lymphoid cells in pPTCLs; and (vi) higher SDs of nuclear-profile circularity factor of small lymphoid cells in MCHD. The medians of the largest nucleolar profile areas in LACs per field did not differ in pPTCLs and MCHD, but dispersion of individual values towards higher levels was significantly greater in the latter. Stepwise discriminant analysis of test point and nucleometric variables that best distinguished pPTCLs from MCHD revealed considerable overlaps, and questionable cases tended to be intermediate between the two. In conclusion, our results confirm and expand the notion of intra-group heterogeneity, with indistinct borders and the existence of intermediate phenotypes between these two taxonomic categories of malignant lymphomas.
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Affiliation(s)
- P Tosi
- Institute of Pathologic Anatomy and Histology, University of Siena, Italy
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Bartolomei A, Greco G, Frezzotti R, Lorenzini L, Romagnoli R, Cintorino M. Analysis of the antigenic profile of uveal melanoma. Exp Eye Res 1992. [DOI: 10.1016/0014-4835(92)90610-5] [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: 10/26/2022]
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49
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Bertelli L, Lorenzini L, Bertelli E, Di Gregorio F, Falappa PG. [The origin of the arteria sigmoidea ima]. Arch Ital Anat Embriol 1991; 96:321-30. [PMID: 1822953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
The authors report the results of their observations on the lowest sigmoid artery, carried out on 92 anatomical specimens coming from surgical operations on the sigmoid and rectum. The specimens were injected and radiographed immediately after their removal . The observations were often preceded by pre-operative angiographies performed for diagnostic reasons. The AA. document all the variational patterns of this artery. They confirm the poor functional value of this artery more known by the old surgeons than by the anatomists.
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Affiliation(s)
- L Bertelli
- Cattedra di Anatomia Topografica, Università di Siena
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50
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Buiatti E, Palli D, Bianchi S, Decarli A, Amadori D, Avellini C, Cipriani F, Cocco P, Giacosa A, Lorenzini L. A case-control study of gastric cancer and diet in Italy. III. Risk patterns by histologic type. Int J Cancer 1991; 48:369-74. [PMID: 2040530 DOI: 10.1002/ijc.2910480310] [Citation(s) in RCA: 65] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
In a case-control study of gastric cancer (GC) in high-risk and low-risk areas of Italy, 923 GCs were systematically categorized by one pathologist according to the Lauren classification distinguishing 2 main histologic types, intestinal (55%) and diffuse (23%). Intestinal types outnumbered diffuse types by a 3 to 1 margin in high-risk regions in the north-central part of the country, while both types occurred at nearly equal rates in low-risk areas. Intestinal types also occurred relatively more frequently at older ages and among males. Relative risks of each type of GC were evaluated in relation to dietary and other data obtained from interviews with the cancer patients and controls. The risk patterns for intestinal and diffuse types were remarkably similar. Increased risks of both types were associated with high intake of meat, salted/dried fish, seasoned cheeses and traditional soups, while decreased risks of both types were found among heavy consumers of fresh vegetables and fruits. Correspondingly similar patterns were seen with indices of nutrients, with risks of both intestinal and diffuse GC rising with animal protein intake and declining with consumption of vitamins C and E. Both types were inversely related to socio-economic status, and neither was associated with cigarette smoking. A familial history of GC was reported more frequently by patients with each type than by controls, although the highest risk was for unclassified GC, a group of poorly differentiated and medullary carcinomas accounting for 15% of all GCs in this study. The findings suggest that, despite differences in geographic and demographic patterns, the intestinal and diffuse types of GC have etiologic factors in common.
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Affiliation(s)
- E Buiatti
- Unità di Epidemiologia, Centro per lo Studio e la Prevenzione Oncologica, Florence, Italy
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