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Muscle Matters: Transforming Amyotrophic Lateral Sclerosis Diagnostics with Next-Gen Biosensors and Smart Detection

  • Saumitra Singh
  • , Sameer Khan
  • , Shina Khan
  • , Osheen Ansari
  • , Nitesh Malhotra
  • , Sudheesh K. Shukla
  • , Jagriti Narang

Research output: Contribution to journalReview articlepeer-review

4 Scopus citations

Abstract

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder that primarily targets the motor system, causing patients’ speech and swallowing ability to rapidly deteriorate. Although ALS is usually classified into familial and sporadic forms, diagnosing it can be extremely difficult due to the absence of definitive biomarkers, often resulting in delays in diagnosis. Current diagnostic practices rely heavily on clinical assessments that indicate damage to both upper motor neurons (UMNs) and lower motor neurons (LMNs). This includes comprehensive physical examinations, electromyography (EMG) to assess neuromuscular function, and the exclusion of other similar conditions such as cervical spondylotic myelopathy, multifocal motor neuropathy, and Kennedy’s disease through appropriate diagnostic procedures. The urgent need for specific biomarkers is critical for timely diagnosis and therapeutic advancements in ALS management. While many recent developments in research have not yet translated into direct patient benefits, the recognition of ALS as a complex disease is beginning to influence clinical practice significantly. Optimal management strategies emphasize on symptom control and improving the quality of life for patients within a holistic healthcare framework. This review provides a comprehensive overview of ALS, delving into its pathophysiology, clinical symptoms, and the latest advancements in detection methods that utilize traditional approaches, innovative biosensors, and smart diagnostic technologies. It discusses various treatment options available for ALS while exploring future developments that may enhance patient screening and improve clinical outcomes. By integrating assessments into the underlying mechanisms of the disease with cutting-edge diagnostic approaches, this review aims to contribute meaningfully to ongoing efforts to optimize ALS management and therapeutic strategies, ultimately improving patient care and outcomes.

Original languageEnglish
Pages (from-to)563-587
Number of pages25
JournalACS Chemical Neuroscience
Volume16
Issue number4
DOIs
StatePublished - 19 Feb 2025
Externally publishedYes

Keywords

  • Amyotrophic lateral sclerosis
  • Biosensors
  • Detection
  • Pathophysiology
  • Smart Diagnostics
  • Treatment

ASJC Scopus subject areas

  • Biochemistry
  • Physiology
  • Cognitive Neuroscience
  • Cell Biology

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