The Global Burden of Motor Neuron Disease: An Analysis of the 2019 Global Burden of Disease Study

Sex, racial, and ethnic disparities in motor neuron disease: clinical trial enrolment

OBJECTIVE

Motor neuron disease (MND) is a group of neurological diseases, the majority being amyotrophic lateral sclerosis (ALS), with varying clinical presentations across demographics. Clinical trial enrollment reflecting global disease burden improves understanding of diverse presentations and aids personalized therapy development. We assessed the sex, racial, and ethnic composition of MND/ALS clinical trial participants relative to global disease burdens.

METHODS

We searched 'motor neuron disease OR amyotrophic lateral sclerosis' on ClinicalTrials.gov from 02/2000-04/2024. We extracted trial (start year, study site, sponsor location, phase, masking, intervention) and demographic data (sex, race, ethnicity) from randomized interventional studies. We obtained sex-based MND/ALS disease burden estimates from the Global Burden of Disease database. For females, we calculated pooled participation-to-prevalence ratio (PPR) with 95% confidence intervals (CIs), with PPR of 0.8-1.2 indicating adequate enrollment. We used Kruskal-Wallis tests to compare demographic groups across trial characteristics.

RESULTS

Of 85 trials, females comprised 37.47% (n = 5011) of 13,372 participants; the pooled female PPR was 0.97 (95% CI: 0.77-1.16). Of 41 trials (9340 participants) reporting race, 121 (1.30%) participants were Black or African American, 16 (0.17%) American Indian or Alaskan Native, and 6 (0.06%) Native Hawaiian or Other Pacific Islander. 24 trials (595 participants) reported ethnicity, with a minority of Hispanic participants (n = 153; 2.57%).

CONCLUSIONS

MND/ALS clinical trials had adequate female enrollment relative to global disease burdens. Race and ethnicity data were underreported. However, there were enrollment disparities of racial and ethnic groups. Increased trial leadership diversity, equitable enrollment policies, and addressing barriers to participation could improve enrollment diversity.

Geographical distribution of clinical trials in amyotrophic lateral sclerosis: a scoping review

Introduction: Clinical trials location is determined by many factors, including the availability of patient populations, regulatory environment, scientific expertise, and cost considerations. In clinical drug development of amyotrophic lateral sclerosis (ALS), where genetic differences have been described and may be related to geographic setting, this could have implications for the clinical interpretation of results in underrepresented geographic settings. Objective: The aim of this study was to review country participation in ALS clinical research based on available data from clinical trial registries and databases. Methods: We performed a scoping review with available information about clinical trials on ALS in ClinicalTrials.gov (CT), EU clinical trials register (EudraCT), WHO International Clinical Trials Registry Platform (ICTRP) and Web of Science (WOS). Inclusion criteria were clinical trials in phase 2 and 3 to treat ALS, recruiting or active not recruiting, from 23/06/2018 to 23/06/2023. Results: The total number of clinical trials identified were 188; 54 studies in CT, 38 in EudraCT, 47 in ICTRP and 49 in WOS. We identified 77 clinical trials after deleting duplicates and applying exclusion criteria. The countries with most studies conducted were the US with 35 studies (10.9%), followed by the United Kingdom, Belgium, France and Germany with 21 studies each one of them (6.5%). Conclusion: The data obtained in our review showed a non-homogeneous distribution in clinical trials at the international level, which may influence the interpretation of the results obtained.

Role of the Exposome in Neurodegenerative Disease: Recent Insights and Future Directions

Neurodegenerative diseases are increasing in prevalence and place a significant burden on society. The causes are multifactorial and complex, and increasing evidence suggests a dynamic interplay between genes and the environment, emphasizing the importance of identifying and understanding the role of lifelong exposures, known as the exposome, on the nervous system. This review provides an overview of recent advances toward defining neurodegenerative disease exposomes, focusing on Parkinson's disease, amyotrophic lateral sclerosis, and Alzheimer's disease. We present the current state of the field based on emerging data, elaborate on key themes and potential mechanisms, and conclude with limitations and future directions. ANN NEUROL 2024;95:635-652.

Treatment gaps in the care of amyotrophic lateral sclerosis in the Philippines: A scoping review

Amyotrophic lateral sclerosis (ALS) is a progressive disease affecting both the upper and lower motor neurons. Much of the management of ALS is supportive with the goal of maximizing patient quality of life. While the Philippines was participative in the "Ice Bucket Challenge" in 2014, it is up for investigation whether substantial changes occurred to improve healthcare for ALS patients. This study aims to evaluate the treatment gaps in the management of ALS in the Philippines through a scoping review. Data on epidemiology, health systems, and pharmacotherapy available regarding ALS in the local setting were synthesized. Nine articles were included. As of July 2023, there were only four indexed studies on ALS from the Philippines. Five of the included articles investigated ALS in Filipino populations but were not authored by Filipinos nor affiliated with Philippine institutions. The available literature showed a distinct lack of local ALS epidemiologic data, as well as limited availability in diagnostic centers, medications, health financing options, and digestible information for Filipinos. The limitations in managing ALS in the country are multifactorial - from political, medical, and social. It is imperative to establish a national database, financing systems, support groups, and accessible diagnostic centers for ALS patients.

Online peer support for people with Amyotrophic Lateral Sclerosis (ALS): a narrative synthesis systematic review

Background

Amyotrophic Lateral Sclerosis (ALS) significantly impacts the lives of people with the diagnosis and their families. A supportive social environment is important for people with ALS to adopt effective coping strategies and health behaviours, and reduce depressive symptoms. Peer support can provide a supportive social environment and can happen in-person and online. Advantages of online peer support are that people can engage from their own home, at their own time and pace, and that it offers a variety of different platforms and modes of communication.

Objectives

To (1) explore the benefits and challenges of online peer support for people with ALS, and (2) identify successful elements of online peer support for people with ALS.

Methods

The method selected for this systematic review was a narrative synthesis. Six databases were systematically searched in April 2020 for articles published between 1989 and 2020. The search was updated in June 2022. The quality of the included studies was assessed with the Critical Appraisal Skills Programme qualitative research checklist.

Results

10,987 unique articles were identified through the systematic database search. Of those, 9 were included in this review. One of the main benefits of online peer support was that people could communicate using text rather than needing verbal communication, which can be challenging for some with ALS. Successful elements included using profile pages and graphics to identify others with similar or relevant experiences. Challenges included ALS symptoms which could make it difficult to use technological devices.

Conclusions

Peer support can provide a non-judgmental and supportive environment for people with ALS, in which they can exchange experiences and emotional support, which can help people in developing adaptive coping strategies. However, ALS symptoms may make it more difficult for people to use technological devices and engage in online peer support. More research is needed to identify what kind of specific barriers people with ALS experience, and how these could be overcome.

Machine learning hypothesis-generation for patient stratification and target discovery in rare disease: our experience with Open Science in ALS

Introduction

Advances in machine learning (ML) methodologies, combined with multidisciplinary collaborations across biological and physical sciences, has the potential to propel drug discovery and development. Open Science fosters this collaboration by releasing datasets and methods into the public space; however, further education and widespread acceptance and adoption of Open Science approaches are necessary to tackle the plethora of known disease states.

Motivation

In addition to providing much needed insights into potential therapeutic protein targets, we also aim to demonstrate that small patient datasets have the potential to provide insights that usually require many samples (>5,000). There are many such datasets available and novel advancements in ML can provide valuable insights from these patient datasets.

Problem statement

Using a public dataset made available by patient advocacy group AnswerALS and a multidisciplinary Open Science approach with a systems biology augmented ML technology, we aim to validate previously reported drug targets in ALS and provide novel insights about ALS subpopulations and potential drug targets using a unique combination of ML methods and graph theory.

Methodology

We use NetraAI to generate hypotheses about specific patient subpopulations, which were then refined and validated through a combination of ML techniques, systems biology methods, and expert input.

Results

We extracted 8 target classes, each comprising of several genes that shed light into ALS pathophysiology and represent new avenues for treatment. These target classes are broadly categorized as inflammation, epigenetic, heat shock, neuromuscular junction, autophagy, apoptosis, axonal transport, and excitotoxicity. These findings are not mutually exclusive, and instead represent a systematic view of ALS pathophysiology. Based on these findings, we suggest that simultaneous targeting of ALS has the potential to mitigate ALS progression, with the plausibility of maintaining and sustaining an improved quality of life (QoL) for ALS patients. Even further, we identified subpopulations based on disease onset.

Conclusion

In the spirit of Open Science, this work aims to bridge the knowledge gap in ALS pathophysiology to aid in diagnostic, prognostic, and therapeutic strategies and pave the way for the development of personalized treatments tailored to the individual's needs.

Socioeconomic Disparities in Neurodegenerative Disease Mortality: A Population-Based Study among Belgian Men and Women Aged 65 or Older

This study investigates the association between socioeconomic position (SEP) - in terms of income and education - and mortality from neurodegenerative diseases, that is, dementia, parkinsonism, and motor neuron diseases (MNDs). We calculated age-standardized mortality rates and mortality rate ratios using log linear Poisson regression for different SEP groups, stratified by gender, age-group, and care home residency, utilizing the 2011 Belgian census linked to register data on cause-specific mortality for 2011 to 2016. Mortality was significantly higher in the lowest educational- and income groups. The largest disparities were found in dementia mortality. Income had a strong negative effect on parkinsonism mortality, education a positive effect. We found no significant association between SEP and MND. Our study provides evidence supporting the presence of socioeconomic disparities in mortality due to neurodegeneration. We found a strong negative association between SEP and NDD mortality, which varies between NDD, gender and care home residency.

Motor neurone disease: A point-prevalence study of patient reported symptom prevalence, severity and palliative care needs

BACKGROUND

Motor neurone disease is a rare but debilitating illness with incomplete evidence regarding patients' symptom burden. Palliative care and generalist clinicians are often in-experienced in caring for these patients and assessing their needs.

AIM

To identify the symptom prevalence and severity experienced by patients with motor neurone disease. Secondary objectives were to examine differences in symptom burden and clusters according to phenotype, functional status, palliative care provision and those in their last months of life.

DESIGN

A point prevalence study assessing patient-reported symptoms using a modified IPOS-Neuro assessment tool, incorporating 41 symptom items.

SETTING/PARTICIPANTS

Patients with motor neurone disease attending the State-wide Progressive Neurological Disease Service or inpatient unit at Calvary Health Care Bethlehem, Melbourne Australia, from March to December 2021.

RESULTS

A total of 102 patients participated, the majority diagnosed with lumber-onset (30.4%), bulbar-onset (28.4%) and cervical-onset (25.5%) phenotypes. Patients experienced a median of 17 symptoms (range 2-32) with a median of 3 symptoms rated as severe/overwhelming (range 0-13). Motor and functional symptoms predominated, with differences in symptom clusters present according to phenotype. Patients had a higher number of severe/overwhelming symptoms if they were accessing palliative care services (p = 0.005), in their last 6 months of life (p = 0.003) and experiencing moderate or severe functional impairment (p < 0.001).

CONCLUSIONS

Patients with motor neurone disease report high symptom burden. A validated motor neurone disease-specific symptom assessment tool is needed to accurately assess patients, including important variations in symptom clusters according to phenotype. Further research must focus on evidence-based treatment guidelines for symptoms experienced commonly and severely.

Economic evaluation of Motor Neuron Diseases: a nationwide cross-sectional analysis in Germany

BACKGROUND AND OBJECTIVES

Motor Neuron Diseases (MND) are rare diseases but have a high impact on affected individuals and society. This study aims to perform an economic evaluation of MND in Germany.

METHODS

Primary patient-reported data were collected including individual impairment, the use of medical and non-medical resources, and self-rated Health-Related Quality of Life (HRQoL). Annual socio-economic costs per year as well as Quality-Adjusted Life Years (QALYs) were calculated.

RESULTS

404 patients with a diagnosis of Amyotrophic Lateral Sclerosis (ALS), Spinal Muscular Atrophy (SMA) or Hereditary Spastic Paraplegia (HSP) were enrolled. Total annual costs per patient were estimated at 83,060€ in ALS, 206,856€ in SMA and 27,074€ in HSP. The main cost drivers were informal care (all MND) and disease-modifying treatments (SMA). Self-reported HRQoL was best in patients with HSP (mean EuroQoL Five Dimension Five Level (EQ-5D-5L) index value 0.67) and lowest in SMA patients (mean EQ-5D-5L index value 0.39). QALYs for patients with ALS were estimated to be 1.89 QALYs, 23.08 for patients with HSP and 14.97 for patients with SMA, respectively. Cost-utilities were estimated as follows: 138,960€/QALY for ALS, 525,033€/QALY for SMA, and 49,573€/QALY for HSP. The main predictors of the high cost of illness and low HRQoL were disease progression and loss of individual autonomy.

CONCLUSION

As loss of individual autonomy was the main cost predictor, therapeutic and supportive measures to maintain this autonomy may contribute to reducing high personal burden and also long-term costs, e.g., care dependency and absenteeism from work.

Spinal Cord Organoids to Study Motor Neuron Development and Disease

Motor neuron diseases (MNDs) are a heterogeneous group of disorders that affect the cranial and/or spinal motor neurons (spMNs), spinal sensory neurons and the muscular system. Although they have been investigated for decades, we still lack a comprehensive understanding of the underlying molecular mechanisms; and therefore, efficacious therapies are scarce. Model organisms and relatively simple two-dimensional cell culture systems have been instrumental in our current knowledge of neuromuscular disease pathology; however, in the recent years, human 3D in vitro models have transformed the disease-modeling landscape. While cerebral organoids have been pursued the most, interest in spinal cord organoids (SCOs) is now also increasing. Pluripotent stem cell (PSC)-based protocols to generate SpC-like structures, sometimes including the adjacent mesoderm and derived skeletal muscle, are constantly being refined and applied to study early human neuromuscular development and disease. In this review, we outline the evolution of human PSC-derived models for generating spMN and recapitulating SpC development. We also discuss how these models have been applied to exploring the basis of human neurodevelopmental and neurodegenerative diseases. Finally, we provide an overview of the main challenges to overcome in order to generate more physiologically relevant human SpC models and propose some exciting new perspectives.

Implications of Artificial Intelligence Algorithms in the Diagnosis and Treatment of Motor Neuron Diseases-A Review

Motor neuron diseases (MNDs) are a group of chronic neurological disorders characterized by the progressive failure of the motor system. Currently, these disorders do not have a definitive treatment; therefore, it is of huge importance to propose new and more advanced diagnoses and treatment options for MNDs. Nowadays, artificial intelligence is being applied to solve several real-life problems in different areas, including healthcare. It has shown great potential to accelerate the understanding and management of many health disorders, including neurological ones. Therefore, the main objective of this work is to offer a review of the most important research that has been done on the application of artificial intelligence models for analyzing motor disorders. This review includes a general description of the most commonly used AI algorithms and their usage in MND diagnosis, prognosis, and treatment. Finally, we highlight the main issues that must be overcome to take full advantage of what AI can offer us when dealing with MNDs.

An Optimized Workflow to Generate and Characterize iPSC-Derived Motor Neuron (MN) Spheroids

A multitude of in vitro models based on induced pluripotent stem cell (iPSC)-derived motor neurons (MNs) have been developed to investigate the underlying causes of selective MN degeneration in motor neuron diseases (MNDs). For instance, spheroids are simple 3D models that have the potential to be generated in large numbers that can be used across different assays. In this study, we generated MN spheroids and developed a workflow to analyze them. To start, the morphological profiling of the spheroids was achieved by developing a pipeline to obtain measurements of their size and shape. Next, we confirmed the expression of different MN markers at the transcript and protein levels by qPCR and immunocytochemistry of tissue-cleared samples, respectively. Finally, we assessed the capacity of the MN spheroids to display functional activity in the form of action potentials and bursts using a microelectrode array approach. Although most of the cells displayed an MN identity, we also characterized the presence of other cell types, namely interneurons and oligodendrocytes, which share the same neural progenitor pool with MNs. In summary, we successfully developed an MN 3D model, and we optimized a workflow that can be applied to perform its morphological, gene expression, protein, and functional profiling over time.

Burden of neurological diseases in Asia from 1990 to 2019: a systematic analysis using the Global Burden of Disease Study data

OBJECTIVES

The burden of neurological disorders is increasing worldwide, including Asia. The purpose of this study was to determine the burden of neurological disorders between 1990 and 2019 in Asia using the Global Burden of Disease (GBD) Sociodemographic Index.

DESIGN, SETTING, OUTCOME AND PARTICIPANTS

The GBD Study is updated every year and the most recent version provides the burden of diseases according to age, gender and region from 1990 to 2019. The burden of neurological disorders was evaluated as incidence, prevalence, mortality, disability-adjusted life-years (DALYs), years of life lost and years lived with disability.

RESULTS

In 2019, DALYs of neurological diseases were 64.4 million in South-East Asia (95% uncertainty interval (UI) 45.2 to 94.2) and 85.0 million in Western Pacific regions (95% UI 63.0 to 118.5). Stroke, migraine, Alzheimer's disease and other dementias had the highest DALYs in the WHO South-East Asia and WHO Western Pacific regions in 2019. DALYs of stroke, Alzheimer's disease and other dementias, Parkinson's disease, brain and central nervous system cancer, multiple sclerosis, migraine and tension-type headache increased in both regions in 2019 compared with 1990. Infectious diseases such as tetanus, meningitis and encephalitis decreased in both regions. DALYs of idiopathic epilepsy and motor neuron disease increased in the WHO South-East Asia region and decreased in the WHO Western Pacific region.

CONCLUSIONS

This study demonstrated the burden of neurological diseases in Asia. To reduce the burden of neurological diseases, strategies suitable for each country's real healthcare needs and challenges are needed; this study can serve as the cornerstone of these strategies.

Global, regional, and national neck pain burden in the general population, 1990–2019: An analysis of the global burden of disease study 2019

Background

This study describes the global epidemiology and trends associated with neck pain. Global Burden of Disease data collected between 1990 and 2019 were used to determine the global burden of neck pain in the general populations of 204 countries.

Methods

Global, regional, and national burdens of neck pain determined by prevalence, incidence, and years lived with a disability (YLD) from 1990 to 2019 were comprehensively analyzed according to age, gender, and socio-demographic index using the Global Burden of Disease Study 1990 and 2019 data provided by the Institute for Health Metrics and Evaluation.

Results

Globally, in 2019, the age-standardized rates for prevalence, incidence, and YLD of neck pain per 100,000 population was 2,696.5 (95% uncertainty interval [UI], 2,177.0 to 3,375.2), 579.1 (95% UI, 457.9 to 729.6), and 267.4 (95% UI, 175.5 to 383.5) per 100,000 population, respectively. Overall, there was no significant difference in prevalence, incidence, or YLD of neck pain between 1990 and 2019. The highest age-standardized YLD of neck pain per 100,000 population in 2019 was observed in high-income North America (479.1, 95% UI 323.0 to 677.6), Southeast Asia (416.1, 95% UI 273.7 to 596.5), and East Asia (356.4, 95% UI 233.2 to 513.2). High-income North America (17.0, 95% UI 9.0 to 25.4%) had the largest increases in YLD of neck pain per 100,000 population from 1990 to 2019. At the national level, the highest age-standardized YLD of neck pain was found in the Philippines (530.1, 95% UI 350.6 to 764.8) and the highest change age-standardized YLD between 1990 and 2019 was found in the United States (18.4, 95% UI 9.9 to 27.6%). Overall, the global burden of neck pain increased with age until the age of 70–74 years, and was higher in women than men. In general, positive associations between socio-demographic index and burden of neck pain were found.

Conclusions

Because neck pain is a major public health burden with a high prevalence, incidence, and YLD worldwide, it is important to update its epidemiological data and trends to cope with the future burden of neck pain.