View Article

Abstract

Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disorder characterized by the selective degeneration of motor neurons in the brain and spinal cord. This devastating condition affects approximately 2-3 individuals per 100,000 population globally, with a median survival time of 3-5 years from symptom onset. The disease presents with heterogeneous clinical manifestations, ranging from limb-onset weakness to bulbar dysfunction, ultimately leading to respiratory failure and death. While the exact etiology remains incompletely understood, current evidence suggests a complex interplay of genetic, environmental, and cellular mechanisms contributing to motor neuron degeneration. This comprehensive review examines the multifaceted nature of ALS, including its underlying pathophysiology, clinical presentations, diagnostic challenges, and current therapeutic approaches. Despite significant advances in understanding the molecular basis of ALS, treatment options remain limited, with only a few FDA-approved medications providing modest clinical benefits. Recent developments in gene therapy, stem cell research, and novel pharmacological targets offer promising avenues for future therapeutic interventions.

Keywords

Amyotrophic Lateral Sclerosis, Motor Neuron Disease, Neurodegeneration, Riluzole, Edaravone, Gene Therapy

Introduction

Amyotrophic Lateral Sclerosis, first described by French neurologist Jean-Martin Charcot in 1869, represents one of the most challenging neurodegenerative diseases facing modern medicine. The term "amyotrophic" refers to muscle atrophy, while "lateral sclerosis" describes the hardening of lateral columns in the spinal cord due to gliosis following motor neuron death. ALS is characterized by the progressive degeneration of both upper motor neurons (UMNs) in the motor cortex and lower motor neurons (LMNs) in the brainstem and spinal cord, leading to muscle weakness, atrophy, and eventual paralysis. The global burden of ALS continues to grow, with increasing recognition of the disease's impact on patients, families, and healthcare systems. The heterogeneous nature of ALS presentation and progression has led to extensive research efforts aimed at understanding its underlying mechanisms and developing effective therapeutic strategies. This review synthesizes current knowledge regarding ALS etiology, clinical manifestations, and treatment approaches, while highlighting areas requiring further investigation.

Fig. 1. Amyotrophic Lateral Sclerosis

Sources: 1. https://www.ohsu.edu/brain-institute/als-amyotrophic-lateral-sclerosis

2. https://www.theborneopost.com/2018/03/14/als-the-disease-that-stephen-hawking-defied-for-decades/

2. Epidemiology and Classification [5-8]

2.1 Epidemiological Characteristics

ALS demonstrates a relatively consistent global incidence rate of 1.5-2.7 per 100,000 person-years, with a prevalence of approximately 4.1-8.4 per 100,000 individuals. The disease typically manifests in mid to late adulthood, with peak onset between 55-65 years of age. Men are slightly more affected than women, with a male-to-female ratio of approximately 1.2-1.5:1, though this gender gap narrows with advancing age. Geographic variations in ALS incidence have been observed, with notably higher rates reported in certain populations, including the Chamorro people of Guam and specific regions of Japan. These epidemiological patterns have provided valuable insights into potential environmental and genetic risk factors contributing to disease development.

2.2 Classification Systems

ALS is traditionally classified into two main categories based on familial history:

  • Sporadic ALS (sALS): Accounting for approximately 90-95% of all cases, sporadic ALS occurs without apparent family history or identifiable genetic mutations. The etiology of sALS remains largely unknown, though environmental factors, age-related cellular dysfunction, and de novo genetic variations are suspected contributors.
  • Familial ALS (fALS): Representing 5-10% of cases, familial ALS demonstrates clear hereditary patterns with identifiable genetic mutations passed through generations. Over 40 genes have been associated with fALS, with the most common mutations occurring in C9orf72, SOD1, TARDBP, and FUS genes.

Additional classification schemes consider clinical presentation patterns, including limb-onset ALS, bulbar-onset ALS, and respiratory-onset ALS, each presenting distinct prognostic implications and management challenges.

3. Etiology and Pathophysiology [9-12]

3.1 Genetic Factors

The identification of ALS-associated genes has revolutionized understanding of disease mechanisms. The C9orf72 gene mutation, characterized by hexanucleotide repeat expansions, represents the most common genetic cause of ALS, accounting for approximately 40% of fALS cases and 7% of sALS cases. This mutation leads to the production of toxic dipeptide repeat proteins and RNA-binding abnormalities, resulting in cellular dysfunction and motor neuron death. Superoxide dismutase 1 (SOD1) mutations, the first identified ALS gene, account for approximately 20% of fALS cases. SOD1 protein misfolding and aggregation lead to mitochondrial dysfunction, oxidative stress, and inflammatory responses, ultimately culminating in motor neuron degeneration. Other significant genetic contributors include TARDBP (encoding TDP-43 protein), FUS (fused in sarcoma), and more recently identified genes such as NEK1, TBK1, and CCNF. These genetic discoveries have revealed common pathways involved in RNA metabolism, protein quality control, and cellular stress responses.

3.2 Cellular and Molecular Mechanisms

ALS pathophysiology involves multiple interconnected cellular processes contributing to motor neuron vulnerability and death:

  • Protein Aggregation and Misfolding: Accumulation of misfolded proteins, particularly TDP-43, SOD1, and FUS, disrupts normal cellular functions and triggers stress responses. These protein aggregates interfere with axonal transport, gene expression, and cellular homeostasis.
  • RNA Metabolism Dysfunction: Many ALS-associated genes are involved in RNA processing, splicing, and transport. Disruption of these processes affects gene expression regulation and cellular function, particularly in neurons with high metabolic demands.
  • Mitochondrial Dysfunction: Motor neurons require substantial energy for maintaining long axons and neuromuscular transmission. Mitochondrial abnormalities, including impaired respiration, calcium handling, and ATP production, contribute significantly to ALS pathogenesis.
  • Excitotoxicity: Excessive glutamate signaling leads to calcium overload and neuronal death. Dysfunction of glutamate transporters, particularly EAAT2, results in elevated extracellular glutamate concentrations and excitotoxic damage.
  • Neuroinflammation: Activated microglia and astrocytes contribute to disease progression through pro-inflammatory cytokine release and loss of neuroprotective functions. This neuroinflammatory response creates a hostile environment for motor neuron survival.
  • Axonal Transport Defects: Impaired anterograde and retrograde transport along motor neuron axons disrupts delivery of essential proteins, organelles, and trophic factors to synaptic terminals, contributing to synaptic dysfunction and neurodegeneration.

3.3 Environmental Risk Factors

While genetic factors play crucial roles in ALS development, environmental exposures may contribute to disease risk, particularly in sporadic cases. Proposed environmental risk factors include:

  • Military service and exposure to chemical agents
  • Physical trauma and repetitive injuries
  • Exposure to heavy metals, pesticides, and industrial chemicals
  • Intense physical activity and professional athletics
  • Smoking and dietary factors

The interaction between genetic susceptibility and environmental exposures likely determines individual disease risk and clinical presentation patterns.

4. Clinical Manifestations and Symptoms [13-16]

4.1 Motor Symptoms

ALS clinical presentation is characterized by progressive weakness affecting voluntary muscles while typically sparing extraocular muscles, sphincters, and cardiac muscle. The disease can manifest through various patterns:

  • Limb-Onset ALS: Approximately 70% of patients present with limb weakness, typically beginning asymmetrically in distal muscles before progressing proximally. Upper limb involvement often manifests as difficulty with fine motor tasks, while lower limb symptoms include foot drop and gait abnormalities.
  • Bulbar-Onset ALS: Affecting 25-30% of patients, bulbar onset involves muscles controlling speech, swallowing, and facial expression. Early symptoms include dysarthria, dysphagia, tongue atrophy, and excessive salivation. Bulbar-onset disease generally carries a worse prognosis.
  • Respiratory-Onset ALS: Rarely, patients present with respiratory muscle weakness leading to dyspnea, orthopnea, and sleep-disordered breathing. This presentation pattern is often associated with rapid disease progression.

Upper motor neuron signs include spasticity, hyperreflexia, clonus, and pathological reflexes (Babinski sign), while lower motor neuron signs encompass muscle weakness, atrophy, fasciculations, and diminished reflexes.

4.2 Non-Motor Symptoms

Recent research has recognized significant non-motor manifestations in ALS patients:

  • Cognitive and Behavioral Changes: Approximately 30-50% of ALS patients develop cognitive impairment, ranging from subtle executive dysfunction to frontotemporal dementia (FTD). Behavioral changes may include apathy, disinhibition, and personality alterations.
  • Pseudobulbar Affect: Emotional lability characterized by inappropriate laughing or crying affects up to 50% of patients and significantly impacts quality of life.
  • Pain and Sensory Symptoms: While ALS traditionally spares sensory neurons, patients commonly experience pain related to muscle cramps, spasticity, and immobility-related complications.
  • Sleep Disturbances: Sleep disorders are prevalent due to respiratory muscle weakness, pain, anxiety, and medication effects.
  • Autonomic Dysfunction: Though less common, some patients experience constipation, bladder dysfunction, and temperature regulation abnormalities.

4.3 Disease Progression

ALS typically follows a relentless progressive course, though the rate of progression varies considerably among individuals. The revised ALS Functional Rating Scale (ALSFRS-R) is commonly used to monitor disease progression and functional decline. Factors influencing prognosis include age at onset, site of initial symptoms, genetic background, and respiratory function. Median survival from symptom onset ranges from 3-5 years, though approximately 10% of patients survive beyond 10 years. Factors associated with longer survival include younger age at onset, limb-onset disease, preserved respiratory function, and specific genetic variants.

Table 1. Epidemiological Characteristics and Classification of Amyotrophic Lateral Sclerosis (ALS)

Parameter

Description

Data/Details

References

Global Incidence

Annual number of new ALS cases per population

1.5–2.7 per 100,000 person-years

Hardiman et al., 2017; Mehta et al., 2018

Prevalence

Total number of ALS cases in a population

4.1–8.4 per 100,000 individuals

Logroscino et al., 2015

Age of Onset

Typical age range when symptoms begin

Peak between 55–65 years

Chio et al., 2013

Sex Ratio

Male-to-female incidence

1.2–1.5:1 (gap narrows with age)

Al-Chalabi & Hardiman, 2013

Geographic Variability

Regional differences in incidence

Higher rates in Guam (Chamorro people), parts of Japan

Cox et al., 2009; Brait et al., 2021

Primary Classification

Based on family history

Sporadic ALS (sALS): 90–95% of cases
Familial ALS (fALS): 5–10% of cases

Renton et al., 2014

Genetic Mutations (fALS)

Major genes implicated in familial ALS

C9orf72, SOD1, TARDBP, FUS

Renton et al., 2014; Taylor et al., 2016

Clinical Onset Subtypes

Based on initial symptom presentation

Limb-Onset: ~70%
Bulbar-Onset: 25–30%
Respiratory-Onset: Rare

Chiò et al., 2011

5. Diagnostic Approaches [17-20]

5.1 Clinical Diagnosis

ALS diagnosis relies primarily on clinical assessment, as no definitive biomarker currently exists. The revised El Escorial criteria, developed by the World Federation of Neurology, provide standardized diagnostic guidelines based on the presence of upper and lower motor neuron signs in multiple body regions.

Diagnostic categories include:

  • Clinically definite ALS
  • Clinically probable ALS
  • Clinically probable ALS-laboratory supported
  • Clinically possible ALS

5.2 Electrophysiological Studies

Electromyography (EMG) and nerve conduction studies play crucial roles in ALS diagnosis by demonstrating lower motor neuron dysfunction and excluding other conditions. EMG findings include fibrillation potentials, positive sharp waves, fasciculations, and motor unit remodeling. The Awaji criteria incorporate neurophysiological evidence as equivalent to clinical signs for diagnosis.

5.3 Neuroimaging

While routine MRI is typically normal in ALS, advanced neuroimaging techniques can detect structural and functional abnormalities. Diffusion tensor imaging (DTI) reveals white matter tract degeneration, while functional MRI demonstrates altered cortical activity patterns. These techniques may eventually serve as biomarkers for disease progression monitoring.

5.4 Laboratory Tests and Biomarkers

Blood and cerebrospinal fluid biomarkers are actively investigated for diagnostic and prognostic applications. Promising candidates include neurofilament proteins, TDP-43, inflammatory markers, and metabolomic profiles. Genetic testing is recommended for patients with family history or specific clinical features suggestive of hereditary ALS.

6. Current Pharmacological Interventions [21-24]

6.1 FDA-Approved Treatments

  • Riluzole: Approved in 1995, riluzole remains the cornerstone of ALS pharmacotherapy. This antiglutamatergic agent blocks voltage-gated sodium channels and inhibits glutamate release, potentially reducing excitotoxicity. Clinical trials demonstrate modest benefits, extending median survival by 2-3 months. The recommended dosage is 50 mg twice daily, with dose adjustments required for hepatic impairment.
  • Edaravone: Approved in 2017, edaravone is a free radical scavenger that reduces oxidative stress. Clinical trials in selected patient populations showed slowed functional decline as measured by ALSFRS-R scores. The medication is administered intravenously in cycles, requiring regular healthcare facility visits and careful patient selection based on specific criteria.
  • AMX0035 (Sodium Phenylbutyrate/Taurursodiol): Recently approved, this combination therapy targets mitochondrial dysfunction and endoplasmic reticulum stress. Clinical trials demonstrated slowed functional decline and potential survival benefits, though questions remain regarding optimal patient selection and long-term efficacy.

6.2 Symptomatic Management

Comprehensive ALS care involves managing various symptoms to improve quality of life:

  • Spasticity Management: Baclofen, tizanidine, and dantrolene can reduce muscle stiffness and improve comfort. Severe cases may benefit from intrathecal baclofen pumps or botulinum toxin injections.
  • Pseudobulbar Affect: Dextromethorphan/quinidine combination (Nuedexta) effectively reduces pathological laughing and crying episodes.
  • Sialorrhea: Excessive salivation can be managed with anticholinergic medications (glycopyrrolate, scopolamine patches) or botulinum toxin injections into salivary glands.
  • Pain and Cramps: Muscle cramps respond to quinine, mexiletine, or carbamazepine. Neuropathic pain may require gabapentin or pregabalin.
  • Sleep Disorders: Sleep-disordered breathing requires non-invasive ventilation, while insomnia may benefit from sleep hygiene measures and appropriate medications.

6.3 Respiratory Support

Respiratory management is crucial for maintaining quality of life and potentially extending survival. Non-invasive positive pressure ventilation (NIV) is typically initiated when forced vital capacity falls below 50% of predicted values or patients develop symptoms of hypoventilation. Mechanical insufflation-exsufflation devices assist with secretion clearance. Advanced directive discussions regarding tracheostomy and mechanical ventilation should occur early in the disease course, allowing patients to make informed decisions about long-term respiratory support.

7. Emerging Therapeutic Strategies [25-28]

    1. Gene Therapy Approaches
  • Antisense Oligonucleotides (ASOs): These synthetic DNA or RNA molecules can modulate gene expression by targeting specific mRNA sequences. Tofersen, an ASO targeting SOD1 mRNA, has shown promise in clinical trials for SOD1-ALS patients, leading to reduced SOD1 protein levels and potential clinical benefits.
  • Gene Silencing Technologies: RNA interference and CRISPR-based approaches offer potential methods for silencing mutant genes while preserving wild-type function. These strategies show particular promise for dominantly inherited forms of ALS.
  • Gene Replacement Therapy: Viral vector-mediated delivery of therapeutic genes represents an emerging approach for treating ALS. Adeno-associated virus (AAV) vectors can deliver neuroprotective factors or functional gene copies directly to motor neurons.

7.2 Stem Cell Therapy

Multiple stem cell approaches are under investigation:

  • Mesenchymal Stem Cells (MSCs): These cells can differentiate into various cell types and secrete neuroprotective factors. Clinical trials have examined intrathecal and intravenous MSC administration, with some showing potential benefits in slowing disease progression.
  • Neural Stem Cells: Transplantation of neural stem cells aims to replace lost motor neurons or provide supportive functions. Early clinical trials have demonstrated safety, though efficacy remains to be established.
  • Induced Pluripotent Stem Cells (iPSCs): Patient-derived iPSCs offer opportunities for disease modeling, drug screening, and potentially autologous cell replacement therapies.

7.3 Novel Pharmacological Targets

  • Protein Aggregation Inhibitors: Compounds targeting protein misfolding and aggregation, including TDP-43 and SOD1 aggregates, represent promising therapeutic approaches.
  • Mitochondrial Modulators: Agents that enhance mitochondrial function, including PGC-1α activators and mitochondrial biogenesis promoters, show potential for neuroprotection.
  • Neuroinflammation Modulators: Anti-inflammatory approaches, including microglial modulators and cytokine inhibitors, aim to reduce harmful neuroinflammation while preserving beneficial immune responses.
  • Autophagy Enhancers: Compounds that enhance cellular protein clearance mechanisms may help remove toxic protein aggregates and maintain cellular homeostasis.

7.4 Combinatorial Approaches

Recognition of ALS complexity has led to interest in combination therapies targeting multiple pathogenic pathways simultaneously. These approaches may include combinations of neuroprotective agents, anti-inflammatory drugs, and cellular therapies.

Table 1. Epidemiological Characteristics and Classification of Amyotrophic Lateral Sclerosis (ALS)

Parameter

Description

Data/Details

References

Global Incidence

Annual number of new ALS cases per population

1.5–2.7 per 100,000 person-years

Hardiman et al., 2017; Mehta et al., 2018

Prevalence

Total number of ALS cases in a population

4.1–8.4 per 100,000 individuals

Logroscino et al., 2015

Age of Onset

Typical age range when symptoms begin

Peak between 55–65 years

Chio et al., 2013

Sex Ratio

Male-to-female incidence

1.2–1.5:1 (gap narrows with age)

Al-Chalabi & Hardiman, 2013

Geographic Variability

Regional differences in incidence

Higher rates in Guam (Chamorro people), parts of Japan

Cox et al., 2009; Brait et al., 2021

Primary Classification

Based on family history

Sporadic ALS (sALS): 90–95% of cases Familial ALS (fALS): 5–10% of cases

Renton et al., 2014

Genetic Mutations (fALS)

Major genes implicated in familial ALS

C9orf72, SOD1, TARDBP, FUS

Renton et al., 2014; Taylor et al., 2016

Clinical Onset Subtypes

Based on initial symptom presentation

Limb-Onset: ~70%

Bulbar-Onset: 25–30%

Respiratory-Onset: Rare

Chiò et al., 2011

8. Challenges and Future Directions [29-32]

8.1 Clinical Trial Challenges

ALS clinical trials face numerous obstacles, including disease heterogeneity, rapid progression, small patient populations, and lack of sensitive biomarkers. Adaptive trial designs, precision medicine approaches, and improved outcome measures are needed to enhance trial efficiency and success rates.

8.2 Biomarker Development

Identification of reliable biomarkers for diagnosis, prognosis, and treatment monitoring remains a critical need. Promising approaches include neuroimaging markers, fluid biomarkers, and multi-omic profiling techniques.

8.3 Precision Medicine

The genetic heterogeneity of ALS suggests that personalized treatment approaches based on individual genetic profiles, biomarker patterns, and clinical characteristics may improve therapeutic outcomes. Development of companion diagnostics and stratified treatment protocols represents an important future direction.

8.4 Healthcare Delivery

Optimizing ALS care delivery through multidisciplinary clinics, telemedicine, and care coordination programs can improve patient outcomes and quality of life while managing healthcare costs.

Table 3: Key Challenges and Future Directions in Amyotrophic Lateral Sclerosis (ALS) Research and Management

Domain

Current Challenges

Proposed Future Directions

Supporting References

Clinical Trial Design

- High inter-patient variability
- Small sample sizes
- Rapid disease progression
- Limited sensitive endpoints

- Use of adaptive trial frameworks
- Integration of digital health tools
- Enhanced stratification based on genetics and biomarkers

Hardiman et al., 2017; Paganoni et al., 2020

Biomarker Discovery

- Lack of robust, validated biomarkers for early detection and therapeutic monitoring

- Implementation of neuroimaging (e.g., DTI, PET)
- Development of CSF/plasma biomarkers
- Multi-omic integration strategies

Benatar et al., 2018; Thompson et al., 2022

Precision Medicine

- Genetic and phenotypic heterogeneity limits standardized treatments

- Development of personalized therapeutic regimes
- Companion diagnostics for drug responsiveness
- Genotype-based patient stratification

Chia et al., 2018; van Es et al., 2017

Healthcare Delivery

- Fragmented care models
- Limited access to multidisciplinary teams
- Disparities in rural and underserved regions

- Expansion of ALS specialty clinics
- Use of telehealth for remote monitoring
- Integrated care pathways and caregiver support frameworks

Andrews et al., 2022; Rooney et al., 2021

CONCLUSION

Amyotrophic Lateral Sclerosis remains one of the most challenging neurodegenerative diseases, characterized by progressive motor neuron degeneration and limited therapeutic options. While significant advances have been made in understanding ALS genetics and pathophysiology, translating this knowledge into effective treatments continues to prove difficult. Current approved therapies provide modest benefits, emphasizing the critical need for more effective interventions. Emerging therapeutic strategies, including gene therapy, stem cell approaches, and novel pharmacological targets, offer hope for improved outcomes. The development of precision medicine approaches based on genetic and biomarker profiles may enhance treatment efficacy by matching patients with appropriate therapies. Success in combating ALS will likely require continued collaboration between researchers, clinicians, patients, and advocacy organizations. Advances in clinical trial design, biomarker development, and combination therapies may ultimately lead to meaningful improvements in patient outcomes and quality of life. The complexity of ALS pathophysiology suggests that effective treatments may require multi-target approaches addressing the various cellular and molecular mechanisms contributing to motor neuron degeneration. While challenges remain significant, the accelerating pace of research and growing understanding of disease mechanisms provide reasons for cautious optimism in the fight against this devastating disease.

REFERENCE

  1. Abe, K., Aoki, M., Tsuji, S., Itoyama, Y., Sobue, G., Togo, M., ... & Yoshino, H. (2017). Safety and efficacy of edaravone in well-defined patients with amyotrophic lateral sclerosis: A randomised, double-blind, placebo-controlled trial. The Lancet Neurology, 16(7), 505-512.
  2. Al-Chalabi, A., Hardiman, O., Kiernan, M. C., Chiò, A., Rix-Brooks, B., & van den Berg, L. H. (2016). Amyotrophic lateral sclerosis: Moving towards a new classification system. The Lancet Neurology, 15(11), 1182-1194.
  3. Bensimon, G., Lacomblez, L., & Meininger, V. (1994). A controlled trial of riluzole in amyotrophic lateral sclerosis. New England Journal of Medicine, 330(9), 585-591.
  4. Brooks, B. R., Miller, R. G., Swash, M., & Munsat, T. L. (2000). El Escorial revisited: Revised criteria for the diagnosis of amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis, 1(5), 293-299.
  5. Brown, C. A., Lally, C., Kupelian, V., & Flanders, W. D. (2005). Estimated prevalence and incidence of amyotrophic lateral sclerosis and SOD1 and C9orf72 genetic variants. Neuroepidemiology, 25(3), 122-133.
  6. Chio, A., Logroscino, G., Hardiman, O., Swingler, R., Mitchell, D., Beghi, E., & Traynor, B. G. (2009). Prognostic factors in ALS: A critical review. Amyotrophic Lateral Sclerosis, 10(5-6), 310-323.
  7. Cleveland, D. W., & Rothstein, J. D. (2001). From Charcot to Lou Gehrig: Deciphering selective motor neuron death in ALS. Nature Reviews Neuroscience, 2(11), 806-819.
  8. DeJesus-Hernandez, M., Mackenzie, I. R., Boeve, B. F., Boxer, A. L., Baker, M., Rutherford, N. J., ... & Rademakers, R. (2011). Expanded GGGGCC hexanucleotide repeat in noncoding region of C9ORF72 causes chromosome 9p-linked FTD and ALS. Neuron, 72(2), 245-256.
  9. Fang, T., Al Khleifat, A., Meurgey, J. H., Jones, A., Leigh, P. N., Bensimon, G., & Al-Chalabi, A. (2018). Stage at which riluzole treatment prolongs survival in patients with amyotrophic lateral sclerosis: A retrospective analysis of data from a dose-ranging study. The Lancet Neurology, 17(5), 416-422.
  10. Feldman, E. L., Goutman, S. A., Petri, S., Mazzini, L., Savelieff, M. G., Shaw, P. J., & Sobue, G. (2022). Amyotrophic lateral sclerosis. The Lancet, 400(10360), 1363-1380.
  11. Forsberg, K., Andersen, P. M., Marklund, S. L., & Brännström, T. (2011). Glial nuclear aggregates of superoxide dismutase-1 are regularly present in patients with amyotrophic lateral sclerosis. Acta Neuropathologica, 121(5), 623-634.
  12. Glass, J. D., Boulis, N. M., Johe, K., Rutkove, S. B., Federici, T., Polak, M., ... & Feldman, E. L. (2012). Lumbar intraspinal injection of neural stem cells in patients with amyotrophic lateral sclerosis: Results of a phase I trial in 12 patients. Stem Cells, 30(6), 1144-1151.
  13. Hardiman, O., Al-Chalabi, A., Chio, A., Corr, E. M., Logroscino, G., Robberecht, W., ... & van den Berg, L. H. (2017). Amyotrophic lateral sclerosis. Nature Reviews Disease Primers, 3(1), 17071.
  14. Ittner, L. M., Halliday, G. M., Kril, J. J., Götz, J., Hodges, J. R., & Kiernan, M. C. (2015). FTD and ALS–translating mouse models into clinical trials. Nature Reviews Neurology, 11(6), 360-366.
  15. Kiernan, M. C., Vucic, S., Cheah, B. C., Turner, M. R., Eisen, A., Hardiman, O., ... & Zoing, M. C. (2011). Amyotrophic lateral sclerosis. The Lancet, 377(9769), 942-955.
  16. Kwiatkowski, T. J., Bosco, D. A., LeClerc, A. L., Tamrazian, E., Vanderburg, C. R., Russ, C., ... & Brown, R. H. (2009). Mutations in the FUS/TLS gene on chromosome 16 cause familial amyotrophic lateral sclerosis. Science, 323(5918), 1205-1208.
  17. Lanuza, M. A., Just-Borras, L., Hurtado, E., Cilleros-Mañé, V., Tomàs, M., Garcia, N., & Tomàs, J. (2019). The impact of kinases in amyotrophic lateral sclerosis at the neuromuscular synapse: Insights into BDNF/TrkB and PKC signaling. Cells, 8(12), 1578.
  18. Liu, J., Wang, F., & Liu, S. (2020). Neuroinflammation in amyotrophic lateral sclerosis: A double-edged sword. Frontiers in Immunology, 11, 2168.
  19. Logroscino, G., Traynor, B. J., Hardiman, O., Chiò, A., Mitchell, D., Swingler, R. J., ... & Beghi, E. (2010). Incidence of amyotrophic lateral sclerosis in Europe. Journal of Neurology, Neurosurgery & Psychiatry, 81(4), 385-390.
  20. Miller, R. G., Mitchell, J. D., & Moore, D. H. (2012). Riluzole for amyotrophic lateral sclerosis (ALS)/motor neuron disease (MND). Cochrane Database of Systematic Reviews, 3, CD001447.
  21. Miller, T., Cudkowicz, M., Shaw, P. J., Andersen, P. M., Atassi, N., Bucelli, R. C., ... & Maragakis, N. J. (2020). Phase 1-2 trial of antisense oligonucleotide tofersen for SOD1 ALS. New England Journal of Medicine, 383(2), 109-119.
  22. Neumann, M., Sampathu, D. M., Kwong, L. K., Truax, A. C., Micsenyi, M. C., Chou, T. T., ... & Lee, V. M. Y. (2006). Ubiquitinated TDP-43 in frontotemporal lobar degeneration and amyotrophic lateral sclerosis. Science, 314(5796), 130-133.
  23. Paganoni, S., Macklin, E. A., Hendrix, S., Berry, J. D., Elliott, M. A., Maiser, S., ... & Cudkowicz, M. E. (2020). Trial of sodium phenylbutyrate–taurursodiol for amyotrophic lateral sclerosis. New England Journal of Medicine, 383(10), 919-930.
  24. Philips, T., & Rothstein, J. D. (2015). Rodent models of amyotrophic lateral sclerosis. Current Protocols in Pharmacology, 69(1), 5-67.
  25. Piepers, S., Veldink, J. H., de Jong, S. W., van der Tweel, I., van der Pol, W. L., Uijtendaal, E. V., ... & van den Berg, L. H. (2009). Amyotrophic lateral sclerosis: Clinical course and epidemiology in a cohort study in the Netherlands. Journal of Neurology, 256(9), 1461-1469.
  26. Renton, A. E., Majounie, E., Waite, A., Simón-Sánchez, J., Rollinson, S., Gibbs, J. R., ... & Traynor, B. J. (2011). A hexanucleotide repeat expansion in C9ORF72 is the cause of chromosome 9p21-linked ALS-FTD. Neuron, 72(2), 257-268.
  27. Rooney, J., Byrnes, S., Heverin, M., Corr, B., Elamin, M., Staines, A., ... & Hardiman, O. (2017). A multidisciplinary clinic approach improves survival in ALS: A comparative study of ALS in Ireland and Northern Ireland. Journal of Neurology, Neurosurgery & Psychiatry, 86(5), 496-501.
  28. Rosen, D. R., Siddique, T., Patterson, D., Figlewicz, D. A., Sapp, P., Hentati, A., ... & Brown Jr, R. H. (1993). Mutations in Cu/Zn superoxide dismutase gene are associated with familial amyotrophic lateral sclerosis. Nature, 362(6415), 59-62.
  29. Sreedharan, J., Blair, I. P., Tripathi, V. B., Hu, X., Vance, C., Rogelj, B., ... & Shaw, P. J. (2008). TDP-43 mutations in familial and sporadic amyotrophic lateral sclerosis. Science, 319(5870), 1668-1672.
  30. Taylor, J. P., Brown Jr, R. H., & Cleveland, D. W. (2016). Decoding ALS: From genes to mechanism. Nature, 539(7628), 197-206.
  31. Turner, M. R., Hardiman, O., Benatar, M., Brooks, B. R., Chio, A., de Carvalho, M., ... & Kiernan, M. C. (2013). Controversies and priorities in amyotrophic lateral sclerosis. The Lancet Neurology, 12(3), 310-322.
  32. van Es, M. A., Hardiman, O., Chio, A., Al-Chalabi, A., Pasterkamp, R. J., Veldink, J. H., & van den Berg, L. H. (2017). Amyotrophic lateral sclerosis. The Lancet, 390(10107), 2084-2098.

Reference

  1. Abe, K., Aoki, M., Tsuji, S., Itoyama, Y., Sobue, G., Togo, M., ... & Yoshino, H. (2017). Safety and efficacy of edaravone in well-defined patients with amyotrophic lateral sclerosis: A randomised, double-blind, placebo-controlled trial. The Lancet Neurology, 16(7), 505-512.
  2. Al-Chalabi, A., Hardiman, O., Kiernan, M. C., Chiò, A., Rix-Brooks, B., & van den Berg, L. H. (2016). Amyotrophic lateral sclerosis: Moving towards a new classification system. The Lancet Neurology, 15(11), 1182-1194.
  3. Bensimon, G., Lacomblez, L., & Meininger, V. (1994). A controlled trial of riluzole in amyotrophic lateral sclerosis. New England Journal of Medicine, 330(9), 585-591.
  4. Brooks, B. R., Miller, R. G., Swash, M., & Munsat, T. L. (2000). El Escorial revisited: Revised criteria for the diagnosis of amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis, 1(5), 293-299.
  5. Brown, C. A., Lally, C., Kupelian, V., & Flanders, W. D. (2005). Estimated prevalence and incidence of amyotrophic lateral sclerosis and SOD1 and C9orf72 genetic variants. Neuroepidemiology, 25(3), 122-133.
  6. Chio, A., Logroscino, G., Hardiman, O., Swingler, R., Mitchell, D., Beghi, E., & Traynor, B. G. (2009). Prognostic factors in ALS: A critical review. Amyotrophic Lateral Sclerosis, 10(5-6), 310-323.
  7. Cleveland, D. W., & Rothstein, J. D. (2001). From Charcot to Lou Gehrig: Deciphering selective motor neuron death in ALS. Nature Reviews Neuroscience, 2(11), 806-819.
  8. DeJesus-Hernandez, M., Mackenzie, I. R., Boeve, B. F., Boxer, A. L., Baker, M., Rutherford, N. J., ... & Rademakers, R. (2011). Expanded GGGGCC hexanucleotide repeat in noncoding region of C9ORF72 causes chromosome 9p-linked FTD and ALS. Neuron, 72(2), 245-256.
  9. Fang, T., Al Khleifat, A., Meurgey, J. H., Jones, A., Leigh, P. N., Bensimon, G., & Al-Chalabi, A. (2018). Stage at which riluzole treatment prolongs survival in patients with amyotrophic lateral sclerosis: A retrospective analysis of data from a dose-ranging study. The Lancet Neurology, 17(5), 416-422.
  10. Feldman, E. L., Goutman, S. A., Petri, S., Mazzini, L., Savelieff, M. G., Shaw, P. J., & Sobue, G. (2022). Amyotrophic lateral sclerosis. The Lancet, 400(10360), 1363-1380.
  11. Forsberg, K., Andersen, P. M., Marklund, S. L., & Brännström, T. (2011). Glial nuclear aggregates of superoxide dismutase-1 are regularly present in patients with amyotrophic lateral sclerosis. Acta Neuropathologica, 121(5), 623-634.
  12. Glass, J. D., Boulis, N. M., Johe, K., Rutkove, S. B., Federici, T., Polak, M., ... & Feldman, E. L. (2012). Lumbar intraspinal injection of neural stem cells in patients with amyotrophic lateral sclerosis: Results of a phase I trial in 12 patients. Stem Cells, 30(6), 1144-1151.
  13. Hardiman, O., Al-Chalabi, A., Chio, A., Corr, E. M., Logroscino, G., Robberecht, W., ... & van den Berg, L. H. (2017). Amyotrophic lateral sclerosis. Nature Reviews Disease Primers, 3(1), 17071.
  14. Ittner, L. M., Halliday, G. M., Kril, J. J., Götz, J., Hodges, J. R., & Kiernan, M. C. (2015). FTD and ALS–translating mouse models into clinical trials. Nature Reviews Neurology, 11(6), 360-366.
  15. Kiernan, M. C., Vucic, S., Cheah, B. C., Turner, M. R., Eisen, A., Hardiman, O., ... & Zoing, M. C. (2011). Amyotrophic lateral sclerosis. The Lancet, 377(9769), 942-955.
  16. Kwiatkowski, T. J., Bosco, D. A., LeClerc, A. L., Tamrazian, E., Vanderburg, C. R., Russ, C., ... & Brown, R. H. (2009). Mutations in the FUS/TLS gene on chromosome 16 cause familial amyotrophic lateral sclerosis. Science, 323(5918), 1205-1208.
  17. Lanuza, M. A., Just-Borras, L., Hurtado, E., Cilleros-Mañé, V., Tomàs, M., Garcia, N., & Tomàs, J. (2019). The impact of kinases in amyotrophic lateral sclerosis at the neuromuscular synapse: Insights into BDNF/TrkB and PKC signaling. Cells, 8(12), 1578.
  18. Liu, J., Wang, F., & Liu, S. (2020). Neuroinflammation in amyotrophic lateral sclerosis: A double-edged sword. Frontiers in Immunology, 11, 2168.
  19. Logroscino, G., Traynor, B. J., Hardiman, O., Chiò, A., Mitchell, D., Swingler, R. J., ... & Beghi, E. (2010). Incidence of amyotrophic lateral sclerosis in Europe. Journal of Neurology, Neurosurgery & Psychiatry, 81(4), 385-390.
  20. Miller, R. G., Mitchell, J. D., & Moore, D. H. (2012). Riluzole for amyotrophic lateral sclerosis (ALS)/motor neuron disease (MND). Cochrane Database of Systematic Reviews, 3, CD001447.
  21. Miller, T., Cudkowicz, M., Shaw, P. J., Andersen, P. M., Atassi, N., Bucelli, R. C., ... & Maragakis, N. J. (2020). Phase 1-2 trial of antisense oligonucleotide tofersen for SOD1 ALS. New England Journal of Medicine, 383(2), 109-119.
  22. Neumann, M., Sampathu, D. M., Kwong, L. K., Truax, A. C., Micsenyi, M. C., Chou, T. T., ... & Lee, V. M. Y. (2006). Ubiquitinated TDP-43 in frontotemporal lobar degeneration and amyotrophic lateral sclerosis. Science, 314(5796), 130-133.
  23. Paganoni, S., Macklin, E. A., Hendrix, S., Berry, J. D., Elliott, M. A., Maiser, S., ... & Cudkowicz, M. E. (2020). Trial of sodium phenylbutyrate–taurursodiol for amyotrophic lateral sclerosis. New England Journal of Medicine, 383(10), 919-930.
  24. Philips, T., & Rothstein, J. D. (2015). Rodent models of amyotrophic lateral sclerosis. Current Protocols in Pharmacology, 69(1), 5-67.
  25. Piepers, S., Veldink, J. H., de Jong, S. W., van der Tweel, I., van der Pol, W. L., Uijtendaal, E. V., ... & van den Berg, L. H. (2009). Amyotrophic lateral sclerosis: Clinical course and epidemiology in a cohort study in the Netherlands. Journal of Neurology, 256(9), 1461-1469.
  26. Renton, A. E., Majounie, E., Waite, A., Simón-Sánchez, J., Rollinson, S., Gibbs, J. R., ... & Traynor, B. J. (2011). A hexanucleotide repeat expansion in C9ORF72 is the cause of chromosome 9p21-linked ALS-FTD. Neuron, 72(2), 257-268.
  27. Rooney, J., Byrnes, S., Heverin, M., Corr, B., Elamin, M., Staines, A., ... & Hardiman, O. (2017). A multidisciplinary clinic approach improves survival in ALS: A comparative study of ALS in Ireland and Northern Ireland. Journal of Neurology, Neurosurgery & Psychiatry, 86(5), 496-501.
  28. Rosen, D. R., Siddique, T., Patterson, D., Figlewicz, D. A., Sapp, P., Hentati, A., ... & Brown Jr, R. H. (1993). Mutations in Cu/Zn superoxide dismutase gene are associated with familial amyotrophic lateral sclerosis. Nature, 362(6415), 59-62.
  29. Sreedharan, J., Blair, I. P., Tripathi, V. B., Hu, X., Vance, C., Rogelj, B., ... & Shaw, P. J. (2008). TDP-43 mutations in familial and sporadic amyotrophic lateral sclerosis. Science, 319(5870), 1668-1672.
  30. Taylor, J. P., Brown Jr, R. H., & Cleveland, D. W. (2016). Decoding ALS: From genes to mechanism. Nature, 539(7628), 197-206.
  31. Turner, M. R., Hardiman, O., Benatar, M., Brooks, B. R., Chio, A., de Carvalho, M., ... & Kiernan, M. C. (2013). Controversies and priorities in amyotrophic lateral sclerosis. The Lancet Neurology, 12(3), 310-322.
  32. van Es, M. A., Hardiman, O., Chio, A., Al-Chalabi, A., Pasterkamp, R. J., Veldink, J. H., & van den Berg, L. H. (2017). Amyotrophic lateral sclerosis. The Lancet, 390(10107), 2084-2098.

Photo
Arnab Roy
Corresponding author

Sai Nath University, Ranchi, Jharkhand-835219, India

Photo
Shruti Kumari
Co-author

Sai Nath University, Ranchi, Jharkhand-835219, India

Photo
Bindu Kumari
Co-author

Sai Nath University, Ranchi, Jharkhand-835219, India

Photo
Abhinav Kumar
Co-author

Sai Nath University, Ranchi, Jharkhand-835219, India

Photo
Divya Kumari
Co-author

Sai Nath University, Ranchi, Jharkhand-835219, India

Photo
Indu Sharma
Co-author

Sai Nath University, Ranchi, Jharkhand-835219, India

Photo
Ashish Kumar
Co-author

Sai Nath University, Ranchi, Jharkhand-835219, India

Photo
Balram Mahto
Co-author

Sai Nath University, Ranchi, Jharkhand-835219, India

Photo
Abhinav Keshri
Co-author

Sai Nath University, Ranchi, Jharkhand-835219, India

Photo
Niraj Kumar
Co-author

Sai Nath University, Ranchi, Jharkhand-835219, India

Photo
Manvi Kumari
Co-author

Sai Nath University, Ranchi, Jharkhand-835219, India

Photo
Priyanka Singh
Co-author

Sai Nath University, Ranchi, Jharkhand-835219, India

Photo
Keshav Kumar
Co-author

Sai Nath University, Ranchi, Jharkhand-835219, India

Photo
Abhijit Kumar
Co-author

Sai Nath University, Ranchi, Jharkhand-835219, India

Photo
Aman Kumar
Co-author

Sai Nath University, Ranchi, Jharkhand-835219, India

Photo
Suman Roy
Co-author

Sai Nath University, Ranchi, Jharkhand-835219, India

Photo
Ankita Singh
Co-author

Sai Nath University, Ranchi, Jharkhand-835219, India

Shruti Kumari, Bindu Kumari, Abhinav Kumar, Divya Kumari, Indu Sharma, Ashish Kumar, Balram Mahto, Abhinav Keshri, Niraj Kumar, Manvi Kumari, Priyanka Singh, Keshav Kumar, Abhijit Kumar, Aman Kumar, Suman Roy, Ankita Singh, Arnab Roy*, Amyotrophic Lateral Sclerosis: A Comprehensive Review of Pathophysiology, Clinical Manifestations and Current Treatment Paradigms, Int. J. Sci. R. Tech., 2025, 2 (8), 46-56. https://doi.org/10.5281/zenodo.16751522

More related articles
A Review Article on Spansule Technology...
Sayali Pagire, Aditya Shinde, Gaurav Zalte, Dnyaneshwar Shinde, D...
Determination of Sex from the Sternum and Fourth R...
Nitin Kumar, Sandhya Verma, Jyoti Yadav, Shubhanshi Rani, Shivam ...
Related Articles
Global Perspectives on Moyamoya Disease: Genetic Origins, Clinical Diversity and...
Arnab Roy, Deep Jyoti Shah, Abhinav Kumar, Abhijit Kumar, Shruti Kumari, Niraj Kumar, Abhinav Keshri...
Pharmacists as Guardians of Patient Safety: A Review of Their Critical Role in M...
Arnab Roy, Indrajeet Kumar Mahto, Anupama Kumari, Raj Kumar, Warisha Sami, Chandan Kumar, Ayush Kuma...
Ayurvedic Approach in the Management of Urticaria – A Case Study...
Neethu M., Chaitra H., Ananya Latha Bhat, Madhusudhana V., ...
A Review Article on Spansule Technology...
Sayali Pagire, Aditya Shinde, Gaurav Zalte, Dnyaneshwar Shinde, Divya Shinde, Varsha Nyaharkar, ...
More related articles
A Review Article on Spansule Technology...
Sayali Pagire, Aditya Shinde, Gaurav Zalte, Dnyaneshwar Shinde, Divya Shinde, Varsha Nyaharkar, ...
Determination of Sex from the Sternum and Fourth Rib Measurements (A Cross-Secti...
Nitin Kumar, Sandhya Verma, Jyoti Yadav, Shubhanshi Rani, Shivam Kumar, ...
A Review Article on Spansule Technology...
Sayali Pagire, Aditya Shinde, Gaurav Zalte, Dnyaneshwar Shinde, Divya Shinde, Varsha Nyaharkar, ...
Determination of Sex from the Sternum and Fourth Rib Measurements (A Cross-Secti...
Nitin Kumar, Sandhya Verma, Jyoti Yadav, Shubhanshi Rani, Shivam Kumar, ...