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Current State and Future Directions in the Diagnosis of Amyotrophic Lateral Sclerosis
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by loss of upper and lower motor neurons, resulting in progressive weakness of all voluntary muscles and eventual respiratory failure. Non-motor symptoms, such as cognitive and behavioral changes, frequently occur...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000757/ https://www.ncbi.nlm.nih.gov/pubmed/36899872 http://dx.doi.org/10.3390/cells12050736 |
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author | Vidovic, Maximilian Müschen, Lars Hendrik Brakemeier, Svenja Machetanz, Gerrit Naumann, Marcel Castro-Gomez, Sergio |
author_facet | Vidovic, Maximilian Müschen, Lars Hendrik Brakemeier, Svenja Machetanz, Gerrit Naumann, Marcel Castro-Gomez, Sergio |
author_sort | Vidovic, Maximilian |
collection | PubMed |
description | Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by loss of upper and lower motor neurons, resulting in progressive weakness of all voluntary muscles and eventual respiratory failure. Non-motor symptoms, such as cognitive and behavioral changes, frequently occur over the course of the disease. Considering its poor prognosis with a median survival time of 2 to 4 years and limited causal treatment options, an early diagnosis of ALS plays an essential role. In the past, diagnosis has primarily been determined by clinical findings supported by electrophysiological and laboratory measurements. To increase diagnostic accuracy, reduce diagnostic delay, optimize stratification in clinical trials and provide quantitative monitoring of disease progression and treatment responsivity, research on disease-specific and feasible fluid biomarkers, such as neurofilaments, has been intensely pursued. Advances in imaging techniques have additionally yielded diagnostic benefits. Growing perception and greater availability of genetic testing facilitate early identification of pathogenic ALS-related gene mutations, predictive testing and access to novel therapeutic agents in clinical trials addressing disease-modified therapies before the advent of the first clinical symptoms. Lately, personalized survival prediction models have been proposed to offer a more detailed disclosure of the prognosis for the patient. In this review, the established procedures and future directions in the diagnostics of ALS are summarized to serve as a practical guideline and to improve the diagnostic pathway of this burdensome disease. |
format | Online Article Text |
id | pubmed-10000757 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100007572023-03-11 Current State and Future Directions in the Diagnosis of Amyotrophic Lateral Sclerosis Vidovic, Maximilian Müschen, Lars Hendrik Brakemeier, Svenja Machetanz, Gerrit Naumann, Marcel Castro-Gomez, Sergio Cells Review Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by loss of upper and lower motor neurons, resulting in progressive weakness of all voluntary muscles and eventual respiratory failure. Non-motor symptoms, such as cognitive and behavioral changes, frequently occur over the course of the disease. Considering its poor prognosis with a median survival time of 2 to 4 years and limited causal treatment options, an early diagnosis of ALS plays an essential role. In the past, diagnosis has primarily been determined by clinical findings supported by electrophysiological and laboratory measurements. To increase diagnostic accuracy, reduce diagnostic delay, optimize stratification in clinical trials and provide quantitative monitoring of disease progression and treatment responsivity, research on disease-specific and feasible fluid biomarkers, such as neurofilaments, has been intensely pursued. Advances in imaging techniques have additionally yielded diagnostic benefits. Growing perception and greater availability of genetic testing facilitate early identification of pathogenic ALS-related gene mutations, predictive testing and access to novel therapeutic agents in clinical trials addressing disease-modified therapies before the advent of the first clinical symptoms. Lately, personalized survival prediction models have been proposed to offer a more detailed disclosure of the prognosis for the patient. In this review, the established procedures and future directions in the diagnostics of ALS are summarized to serve as a practical guideline and to improve the diagnostic pathway of this burdensome disease. MDPI 2023-02-24 /pmc/articles/PMC10000757/ /pubmed/36899872 http://dx.doi.org/10.3390/cells12050736 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Vidovic, Maximilian Müschen, Lars Hendrik Brakemeier, Svenja Machetanz, Gerrit Naumann, Marcel Castro-Gomez, Sergio Current State and Future Directions in the Diagnosis of Amyotrophic Lateral Sclerosis |
title | Current State and Future Directions in the Diagnosis of Amyotrophic Lateral Sclerosis |
title_full | Current State and Future Directions in the Diagnosis of Amyotrophic Lateral Sclerosis |
title_fullStr | Current State and Future Directions in the Diagnosis of Amyotrophic Lateral Sclerosis |
title_full_unstemmed | Current State and Future Directions in the Diagnosis of Amyotrophic Lateral Sclerosis |
title_short | Current State and Future Directions in the Diagnosis of Amyotrophic Lateral Sclerosis |
title_sort | current state and future directions in the diagnosis of amyotrophic lateral sclerosis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000757/ https://www.ncbi.nlm.nih.gov/pubmed/36899872 http://dx.doi.org/10.3390/cells12050736 |
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