Michael Benatar, Joanne Wuu, Edward D. Huey, Corey T. McMillan, Ronald C. Petersen, Ronald Postuma, Caroline McHutchison, Laynie Dratch, Jalayne J. Arias, Anita Crawley, Henry Houlden, Michael P. McDermott, Xueya Cai, Neil Thakur, Adam Boxer, Howard Rosen, Bradley F. Boeve, Penny Dacks, Stephanie Cosentino, Sharon Abrahams, Neil Shneider, Paul Lingor, Jeremy Shefner, Peter M. Andersen, Ammar Al-Chalabi, Martin R. Turner, Attendees of the Second International Pre-Symptomatic ALS Workshop
{"title":"The Miami Framework for ALS and related neurodegenerative disorders: an integrated view of phenotype and biology","authors":"Michael Benatar, Joanne Wuu, Edward D. Huey, Corey T. McMillan, Ronald C. Petersen, Ronald Postuma, Caroline McHutchison, Laynie Dratch, Jalayne J. Arias, Anita Crawley, Henry Houlden, Michael P. McDermott, Xueya Cai, Neil Thakur, Adam Boxer, Howard Rosen, Bradley F. Boeve, Penny Dacks, Stephanie Cosentino, Sharon Abrahams, Neil Shneider, Paul Lingor, Jeremy Shefner, Peter M. Andersen, Ammar Al-Chalabi, Martin R. Turner, Attendees of the Second International Pre-Symptomatic ALS Workshop","doi":"10.1038/s41582-024-00961-z","DOIUrl":"10.1038/s41582-024-00961-z","url":null,"abstract":"Increasing appreciation of the phenotypic and biological overlap between amyotrophic lateral sclerosis (ALS) and frontotemporal dementia, alongside evolving biomarker evidence for a pre-symptomatic stage of disease and observations that this stage of disease might not always be clinically silent, is challenging traditional views of these disorders. These advances have highlighted the need to adapt ingrained notions of these clinical syndromes to include both the full phenotypic continuum — from clinically silent, to prodromal, to clinically manifest — and the expanded phenotypic spectrum that includes ALS, frontotemporal dementia and some movement disorders. The updated clinical paradigms should also align with our understanding of the biology of these disorders, reflected in measurable biomarkers. The Miami Framework, emerging from discussions at the Second International Pre-Symptomatic ALS Workshop in Miami (February 2023; a full list of attendees and their affiliations appears in the Supplementary Information) proposes a classification system built on: first, three parallel phenotypic axes — motor neuron, frontotemporal and extrapyramidal — rather than the unitary approach of combining all phenotypic elements into a single clinical entity; and second, biomarkers that reflect different aspects of the underlying pathology and biology of neurodegeneration. This framework decouples clinical syndromes from biomarker evidence of disease and builds on experiences from other neurodegenerative diseases to offer a unified approach to specifying the pleiotropic clinical manifestations of disease and describing the trajectory of emergent biomarkers. In this Perspective, the authors propose a new classification system for amyotrophic lateral sclerosis and related neurodegenerative disorders that recognizes, in parallel, the clinical syndromes and the underlying biology of disease. The framework emerged from discussions at the Second International Pre-Symptomatic ALS Workshop in Miami (February 2023).","PeriodicalId":19085,"journal":{"name":"Nature Reviews Neurology","volume":"20 6","pages":"364-376"},"PeriodicalIF":38.1,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141069436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Roberta Rudà, Craig Horbinski, Martin van den Bent, Matthias Preusser, Riccardo Soffietti
{"title":"IDH inhibition in gliomas: from preclinical models to clinical trials","authors":"Roberta Rudà, Craig Horbinski, Martin van den Bent, Matthias Preusser, Riccardo Soffietti","doi":"10.1038/s41582-024-00967-7","DOIUrl":"10.1038/s41582-024-00967-7","url":null,"abstract":"Gliomas are the most common malignant primary brain tumours in adults and cannot usually be cured with standard cancer treatments. Gliomas show intratumoural and intertumoural heterogeneity at the histological and molecular levels, and they frequently contain mutations in the isocitrate dehydrogenase 1 (IDH1) or IDH2 gene. IDH-mutant adult-type diffuse gliomas are subdivided into grade 2, 3 or 4 IDH-mutant astrocytomas and grade 2 or 3 IDH-mutant, 1p19q-codeleted oligodendrogliomas. The product of the mutated IDH genes, d-2-hydroxyglutarate (D-2-HG), induces global DNA hypermethylation and interferes with immunity, leading to stimulation of tumour growth. Selective inhibitors of mutant IDH, such as ivosidenib and vorasidenib, have been shown to reduce D-2-HG levels and induce cellular differentiation in preclinical models and to induce MRI-detectable responses in early clinical trials. The phase III INDIGO trial has demonstrated superiority of vorasidenib, a brain-penetrant pan-mutant IDH inhibitor, over placebo in people with non-enhancing grade 2 IDH-mutant gliomas following surgery. In this Review, we describe the pathway of development of IDH inhibitors in IDH-mutant low-grade gliomas from preclinical models to clinical trials. We discuss the practice-changing implications of the INDIGO trial and consider new avenues of investigation in the field of IDH-mutant gliomas. Gliomas are the most common malignant primary brain tumours in adults, and they frequently contain mutations in the isocitrate dehydrogenase 1 (IDH1) or IDH2 gene. Small-molecule inhibitors of mutant IDH are emerging as a new therapeutic strategy for IDH-mutant cancers, and this Review charts their pathway of development for IDH-mutant gliomas.","PeriodicalId":19085,"journal":{"name":"Nature Reviews Neurology","volume":"20 7","pages":"395-407"},"PeriodicalIF":28.2,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140954151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chelsea M. Kaplan, Eoin Kelleher, Anushka Irani, Andrew Schrepf, Daniel J. Clauw, Steven E. Harte
{"title":"Deciphering nociplastic pain: clinical features, risk factors and potential mechanisms","authors":"Chelsea M. Kaplan, Eoin Kelleher, Anushka Irani, Andrew Schrepf, Daniel J. Clauw, Steven E. Harte","doi":"10.1038/s41582-024-00966-8","DOIUrl":"10.1038/s41582-024-00966-8","url":null,"abstract":"Nociplastic pain is a mechanistic term used to describe pain that arises or is sustained by altered nociception, despite the absence of tissue damage. Although nociplastic pain has distinct pathophysiology from nociceptive and neuropathic pain, these pain mechanisms often coincide within individuals, which contributes to the intractability of chronic pain. Key symptoms of nociplastic pain include pain in multiple body regions, fatigue, sleep disturbances, cognitive dysfunction, depression and anxiety. Individuals with nociplastic pain are often diffusely tender — indicative of hyperalgesia and/or allodynia — and are often more sensitive than others to non-painful sensory stimuli such as lights, odours and noises. This Review summarizes the risk factors, clinical presentation and treatment of nociplastic pain, and describes how alterations in brain function and structure, immune processing and peripheral factors might contribute to the nociplastic pain phenotype. This article concludes with a discussion of two proposed subtypes of nociplastic pain that reflect distinct neurobiological features and treatment responsivity. Nociplastic pain arises from altered nociception despite the absence of tissue damage. In this Review, the authors summarize the risk factors and clinical presentation of nociplastic pain, and discuss its potential underlying mechanisms, including evidence of CNS, immune and peripheral contributions.","PeriodicalId":19085,"journal":{"name":"Nature Reviews Neurology","volume":"20 6","pages":"347-363"},"PeriodicalIF":38.1,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140949382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Blood test for early Parkinson disease diagnosis","authors":"Lisa Kiani","doi":"10.1038/s41582-024-00970-y","DOIUrl":"10.1038/s41582-024-00970-y","url":null,"abstract":"","PeriodicalId":19085,"journal":{"name":"Nature Reviews Neurology","volume":"20 6","pages":"316-316"},"PeriodicalIF":38.1,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140919634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"CAR T cells offer hope in glioblastoma","authors":"Ian Fyfe","doi":"10.1038/s41582-024-00972-w","DOIUrl":"10.1038/s41582-024-00972-w","url":null,"abstract":"Novel CAR T cells delivered directly to the CNS could have therapeutic effects in recurrent glioblastoma, according to two early-stage trials.","PeriodicalId":19085,"journal":{"name":"Nature Reviews Neurology","volume":"20 6","pages":"315-315"},"PeriodicalIF":38.1,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140919735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stephanie J. B. Vos, Aurore Delvenne, Clifford R. Jack Jr, Dietmar R. Thal, Pieter Jelle Visser
{"title":"The clinical importance of suspected non-Alzheimer disease pathophysiology","authors":"Stephanie J. B. Vos, Aurore Delvenne, Clifford R. Jack Jr, Dietmar R. Thal, Pieter Jelle Visser","doi":"10.1038/s41582-024-00962-y","DOIUrl":"10.1038/s41582-024-00962-y","url":null,"abstract":"The development of biomarkers for Alzheimer disease (AD) has led to the origin of suspected non-AD pathophysiology (SNAP) — a heterogeneous biomarker-based concept that describes individuals with normal amyloid and abnormal tau and/or neurodegeneration biomarker status. In this Review, we describe the origins of the SNAP construct, along with its prevalence, diagnostic and prognostic implications, and underlying neuropathology. As we discuss, SNAP can be operationalized using different biomarker modalities, which could affect prevalence estimates and reported characteristics of SNAP in ways that are not yet fully understood. Moreover, the underlying aetiologies that lead to a SNAP biomarker profile, and whether SNAP is the same in people with and without cognitive impairment, remains unclear. Improved insight into the clinical characteristics and pathophysiology of SNAP is of major importance for research and clinical practice, as well as for trial design to optimize care and treatment of individuals with SNAP. Suspected non-AD pathophysiology (SNAP) is a biomarker-based concept that describes individuals with normal amyloid and abnormal tau and/or neurodegeneration biomarker status. This Review discusses the origins of the SNAP construct, along with its prevalence, diagnostic and prognostic implications, and underlying neuropathology.","PeriodicalId":19085,"journal":{"name":"Nature Reviews Neurology","volume":"20 6","pages":"337-346"},"PeriodicalIF":38.1,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140895564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial intelligence in epilepsy — applications and pathways to the clinic","authors":"Alfredo Lucas, Andrew Revell, Kathryn A. Davis","doi":"10.1038/s41582-024-00965-9","DOIUrl":"10.1038/s41582-024-00965-9","url":null,"abstract":"Artificial intelligence (AI) is rapidly transforming health care, and its applications in epilepsy have increased exponentially over the past decade. Integration of AI into epilepsy management promises to revolutionize the diagnosis and treatment of this complex disorder. However, translation of AI into neurology clinical practice has not yet been successful, emphasizing the need to consider progress to date and assess challenges and limitations of AI. In this Review, we provide an overview of AI applications that have been developed in epilepsy using a variety of data modalities: neuroimaging, electroencephalography, electronic health records, medical devices and multimodal data integration. For each, we consider potential applications, including seizure detection and prediction, seizure lateralization, localization of the seizure-onset zone and assessment for surgical or neurostimulation interventions, and review the performance of AI tools developed to date. We also discuss methodological considerations and challenges that must be addressed to successfully integrate AI into clinical practice. Our goal is to provide an overview of the current state of the field and provide guidance for leveraging AI in future to improve management of epilepsy. Integration of artificial intelligence into epilepsy management could revolutionize diagnosis and treatment. In this Review, the authors provide an overview of artificial intelligence applications that have been developed in epilepsy and discuss challenges that must be addressed to successfully integrate artificial intelligence into clinical practice.","PeriodicalId":19085,"journal":{"name":"Nature Reviews Neurology","volume":"20 6","pages":"319-336"},"PeriodicalIF":38.1,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140881290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}