Muscle Matters: Transforming Amyotrophic Lateral Sclerosis Diagnostics with Next-Gen Biosensors and Smart Detection
Saumitra Singh1, Sameer Khan2, Shina Khan1
1Department of Biotechnology, Jamia Hamdard, New Delhi 110062, India.
ACS Chemical Neuroscience
|February 6, 2025
Summary
Amyotrophic lateral sclerosis (ALS) diagnosis is challenging due to a lack of biomarkers, delaying treatment. This review explores current and emerging diagnostic methods and management strategies to improve patient outcomes.
Area of Science:
- Neuroscience
- Neurology
- Medical Diagnostics
Background:
- Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease impacting motor neurons, leading to severe functional decline.
- Diagnosis is difficult due to non-specific symptoms and the absence of definitive biomarkers, often causing diagnostic delays.
- Current diagnostic methods rely on clinical evaluation, electromyography (EMG), and excluding other neurological conditions.
Purpose of the Study:
- To provide a comprehensive overview of ALS, including its pathophysiology and clinical manifestations.
- To review current and emerging diagnostic technologies for ALS detection, from traditional methods to biosensors and smart technologies.
- To discuss existing and future therapeutic strategies aimed at improving patient outcomes and quality of life.
Main Methods:
- Literature review of ALS pathophysiology, clinical presentation, diagnostic techniques, and management strategies.
- Analysis of traditional diagnostic approaches (clinical exams, EMG) and novel detection methods (biosensors, smart technologies).
- Exploration of current treatment options and future therapeutic developments in ALS.
Main Results:
- ALS diagnosis remains challenging, necessitating reliance on clinical assessments and exclusion criteria.
- Advancements in biosensors and smart diagnostic technologies show promise for earlier and more accurate ALS detection.
- Optimal ALS management focuses on symptom control, quality of life, and a holistic healthcare approach.
Conclusions:
- There is a critical need for specific biomarkers to facilitate timely ALS diagnosis and advance therapeutic interventions.
- Integrating an understanding of disease mechanisms with innovative diagnostic tools is crucial for improving patient care.
- Continued research and development in diagnostics and therapeutics are essential for enhancing patient screening and clinical outcomes in ALS.
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