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Novel data-driven subtypes and stages of brain atrophy in the ALS-FTD spectrum

BACKGROUND: TDP-43 proteinopathies represents a spectrum of neurological disorders, anchored clinically on either end by amyotrophic lateral sclerosis (ALS) and frontotemporal degeneration (FTD). The ALS-FTD spectrum exhibits a diverse range of clinical presentations with overlapping phenotypes, hig...

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Autores principales: Shen, Ting, Vogel, Jacob W., Duda, Jeffrey, Phillips, Jeffrey S., Cook, Philip A., Gee, James, Elman, Lauren, Quinn, Colin, Amado, Defne A., Baer, Michael, Massimo, Lauren, Grossman, Murray, Irwin, David J., McMillan, Corey T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441467/
https://www.ncbi.nlm.nih.gov/pubmed/37609205
http://dx.doi.org/10.21203/rs.3.rs-3183113/v1
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author Shen, Ting
Vogel, Jacob W.
Duda, Jeffrey
Phillips, Jeffrey S.
Cook, Philip A.
Gee, James
Elman, Lauren
Quinn, Colin
Amado, Defne A.
Baer, Michael
Massimo, Lauren
Grossman, Murray
Irwin, David J.
McMillan, Corey T.
author_facet Shen, Ting
Vogel, Jacob W.
Duda, Jeffrey
Phillips, Jeffrey S.
Cook, Philip A.
Gee, James
Elman, Lauren
Quinn, Colin
Amado, Defne A.
Baer, Michael
Massimo, Lauren
Grossman, Murray
Irwin, David J.
McMillan, Corey T.
author_sort Shen, Ting
collection PubMed
description BACKGROUND: TDP-43 proteinopathies represents a spectrum of neurological disorders, anchored clinically on either end by amyotrophic lateral sclerosis (ALS) and frontotemporal degeneration (FTD). The ALS-FTD spectrum exhibits a diverse range of clinical presentations with overlapping phenotypes, highlighting its heterogeneity. This study aimed to use disease progression modeling to identify novel data-driven spatial and temporal subtypes of brain atrophy and its progression in the ALS-FTD spectrum. METHODS: We used a data-driven procedure to identify 13 anatomic clusters of brain volumes for 57 behavioral variant FTD (bvFTD; with either autopsy-confirmed TDP-43 or TDP-43 proteinopathy-associated genetic variants), 103 ALS, and 47 ALS-FTD patients with likely TDP-43. A Subtype and Stage Inference (SuStaIn) model was trained to identify subtypes of individuals along the ALS-FTD spectrum with distinct brain atrophy patterns, and we related subtypes and stages to clinical, genetic, and neuropathological features of disease. RESULTS: SuStaIn identified three novel subtypes: two disease subtypes with predominant brain atrophy either in prefrontal/somatomotor regions or limbic-related regions, and a normal-appearing group without obvious brain atrophy. The Limbic-predominant subtype tended to present with more impaired cognition, higher frequencies of pathogenic variants in TBK1 and TARDBP genes, and a higher proportion of TDP-43 type B, E and C. In contrast, the Prefrontal/Somatomotor-predominant subtype had higher frequencies of pathogenic variants in C9orf72 and GRN genes and higher proportion of TDP-43 type A. The normal-appearing brain group showed higher frequency of ALS relative to ALS-FTD and bvFTD patients, higher cognitive capacity, higher proportion of lower motor neuron onset, milder motor symptoms, and lower frequencies of genetic pathogenic variants. Overall SuStaIn stages also correlated with evidence for clinical progression including longer disease duration, higher King’s stage, and cognitive decline. Additionally, SuStaIn stages differed across clinical phenotypes, genotypes and types of TDP-43 pathology. CONCLUSIONS: Our findings suggest distinct neurodegenerative subtypes of disease along the ALS-FTD spectrum that can be identified in vivo, each with distinct brain atrophy, clinical, genetic and pathological patterns.
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spelling pubmed-104414672023-08-22 Novel data-driven subtypes and stages of brain atrophy in the ALS-FTD spectrum Shen, Ting Vogel, Jacob W. Duda, Jeffrey Phillips, Jeffrey S. Cook, Philip A. Gee, James Elman, Lauren Quinn, Colin Amado, Defne A. Baer, Michael Massimo, Lauren Grossman, Murray Irwin, David J. McMillan, Corey T. Res Sq Article BACKGROUND: TDP-43 proteinopathies represents a spectrum of neurological disorders, anchored clinically on either end by amyotrophic lateral sclerosis (ALS) and frontotemporal degeneration (FTD). The ALS-FTD spectrum exhibits a diverse range of clinical presentations with overlapping phenotypes, highlighting its heterogeneity. This study aimed to use disease progression modeling to identify novel data-driven spatial and temporal subtypes of brain atrophy and its progression in the ALS-FTD spectrum. METHODS: We used a data-driven procedure to identify 13 anatomic clusters of brain volumes for 57 behavioral variant FTD (bvFTD; with either autopsy-confirmed TDP-43 or TDP-43 proteinopathy-associated genetic variants), 103 ALS, and 47 ALS-FTD patients with likely TDP-43. A Subtype and Stage Inference (SuStaIn) model was trained to identify subtypes of individuals along the ALS-FTD spectrum with distinct brain atrophy patterns, and we related subtypes and stages to clinical, genetic, and neuropathological features of disease. RESULTS: SuStaIn identified three novel subtypes: two disease subtypes with predominant brain atrophy either in prefrontal/somatomotor regions or limbic-related regions, and a normal-appearing group without obvious brain atrophy. The Limbic-predominant subtype tended to present with more impaired cognition, higher frequencies of pathogenic variants in TBK1 and TARDBP genes, and a higher proportion of TDP-43 type B, E and C. In contrast, the Prefrontal/Somatomotor-predominant subtype had higher frequencies of pathogenic variants in C9orf72 and GRN genes and higher proportion of TDP-43 type A. The normal-appearing brain group showed higher frequency of ALS relative to ALS-FTD and bvFTD patients, higher cognitive capacity, higher proportion of lower motor neuron onset, milder motor symptoms, and lower frequencies of genetic pathogenic variants. Overall SuStaIn stages also correlated with evidence for clinical progression including longer disease duration, higher King’s stage, and cognitive decline. Additionally, SuStaIn stages differed across clinical phenotypes, genotypes and types of TDP-43 pathology. CONCLUSIONS: Our findings suggest distinct neurodegenerative subtypes of disease along the ALS-FTD spectrum that can be identified in vivo, each with distinct brain atrophy, clinical, genetic and pathological patterns. American Journal Experts 2023-08-10 /pmc/articles/PMC10441467/ /pubmed/37609205 http://dx.doi.org/10.21203/rs.3.rs-3183113/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Shen, Ting
Vogel, Jacob W.
Duda, Jeffrey
Phillips, Jeffrey S.
Cook, Philip A.
Gee, James
Elman, Lauren
Quinn, Colin
Amado, Defne A.
Baer, Michael
Massimo, Lauren
Grossman, Murray
Irwin, David J.
McMillan, Corey T.
Novel data-driven subtypes and stages of brain atrophy in the ALS-FTD spectrum
title Novel data-driven subtypes and stages of brain atrophy in the ALS-FTD spectrum
title_full Novel data-driven subtypes and stages of brain atrophy in the ALS-FTD spectrum
title_fullStr Novel data-driven subtypes and stages of brain atrophy in the ALS-FTD spectrum
title_full_unstemmed Novel data-driven subtypes and stages of brain atrophy in the ALS-FTD spectrum
title_short Novel data-driven subtypes and stages of brain atrophy in the ALS-FTD spectrum
title_sort novel data-driven subtypes and stages of brain atrophy in the als-ftd spectrum
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441467/
https://www.ncbi.nlm.nih.gov/pubmed/37609205
http://dx.doi.org/10.21203/rs.3.rs-3183113/v1
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