ALS Progression Research Articles

Assessing disease progression in ALS: prognostic subgroups and outliers

Background The rate of disease progression, measured by the decline of ALS Functional Rating Scale-Revised (ALSFRS-R) from symptom onset to diagnosis (ΔFS) is a well-established prognostic biomarker for predicting survival. Objectives: This study aims to categorize a large patient cohort based on the initial ΔFS and subsequently investigate survival deviations from the expected prognosis defined by ΔFS. Methods 1056 ALS patients were stratified into three progression categories based on their ΔFS: slow progressors (below 25th percentile), intermediate progressors (between 25th and 75th percentiles), and fast progressors (above 75th percentile). Survival outcomes were classified as short survivors (<2 years), average survivors (2–5 years), and long survivors (>5 years). Clinical and demographic characteristics within each subgroup were then analyzed. Results ΔFS stratification yielded cutoff values of <0.29, 0.29–1.03, and >1.03 points/month. Long survivors comprised 26% and 21% were short survivors. Six percent of the fast progressors had a life expectancy of more than 5 years, and none of the clinical and demographic characteristics analyzed could fully explain this discrepancy. Conversely, 13% of intermediate progressors lived less than 2 years, according to a short-diagnostic delay in these patients. Discussion Our study reaffirms ΔFS as a prognostic biomarker for ALS. We disclosed outliers defying anticipated patterns. The observed shift in progression categories underscores the non-linear nature of disease progression. Genetic and unknown biological reasons may explain these deviations. Further research is needed to fully understand modulation of ALS survival.

Prognostic factors affecting ALS progression through disease tollgates.

Understanding factors affecting the timing of critical clinical events in ALS progression. We captured ALS progression based on the timing of critical events (tollgates), by augmenting 6366 patients' data from the PRO-ACT database with tollgate-passed information using classification. Time trajectories of passing ALS tollgates after the first visit were derived using Kaplan-Meier analyses. The significant prognostic factors were found using log-rank tests. Decision-tree-based classifications identified significant ALS phenotypes characterized by the list of body segments involved at the first visit. Standard (e.g., gender and onset type) and tollgate-related (phenotype and initial tollgate level) prognostic factors affect the timing of ALS tollgates. For instance, by the third year after the first visit, 80-100% of bulbar-onset patients vs. 43-48% of limb-onset patients, and 65-73% of females vs. 42-49% of males lost the ability to talk and started using a feeding tube. Compared to the standard factors, tollgate-related factors had a stronger effect on ALS progression. The initial impairment level significantly impacted subsequent ALS progression in a segment while affected segment combinations further characterized progression speed. For instance, patients with normal speech (Tollgate Level 0) at the first visit had less than a 10% likelihood of losing speech within a year, while for patients with Tollgate Level 1 (affected speech), this likelihood varied between 23 and 53% based on additional segment (leg) involvement. Tollgate- and phenotype-related factors have a strong effect on the timing of ALS tollgates. All factors should be jointly considered to better characterize patient groups with different progression aggressiveness.

Longitudinal Quantitative MRI Provides Responsive Outcome Measures for Early and Late Muscle Changes in ALS.

Studies have demonstrated the potential of muscle MRIs to measure disease progression in ALS. However, the responsiveness and utility of quantitative muscle MRIs in an ALS clinical trial remain unknown. This study aimed to determine the responsiveness of quantitative muscle MRIs to measure disease progression in ALS. Longitudinal quantitative muscle MRIs were obtained in an ALS study that delivered human neural progenitor cells to the spinal cord (NCT02943850). Participants underwent MRIs at baseline, 1, 3, 6, 9, and 12 months. MRI measures included fat fraction (ff), water T2 (T2m), cross-sectional area (CSA), and remaining muscle area (RMA). Non-MRI measures included strength via Accurate Test of Limb Isometric Strength (ATLIS) and the ALSFRS-R. Standardized response means (SRM) were calculated at 1, 3, 6, and 12 months. Significant increases in muscle FF and decreases in CSA and RMA were seen as early as 1 month from baseline. At 6 months, the most responsive measures were muscle FF (SRMthigh = 1.85, SRMcalf = 1.39), T2m (SRMthigh = 1.2, SRMcalf = 1.71), CSA (SRMthigh = -1.58, SRMcalf = -1.14), RMA (SRMthigh = -1.77, SRMcalf = -1.28), and strength tested via ATLIS (SRMknee extension = -1.79, SRMknee flexion = -1.3). The ALSFRS-R was the least responsive at 6 months (SRM = -0.85). Muscle FF and T2m correlated with ALSFRS-R leg subscores and MRI measures demonstrated varying degrees of correlation with strength. High responsiveness and low variability make quantitative muscle MRI a novel and complementary outcome measure for ALS clinical trials.

Health care resource utilization and costs across stages of amyotrophic lateral sclerosis in the United States.

People living with ALS (plwALS) experience motor control loss, speech/swallowing difficulties, respiratory insufficiency, and early death. Advancing disease stage is typically associated with a greater burden on the health care system, and delays in diagnosis can result in substantial health care resource utilization (HCRU). To estimate HCRU and cost burden of plwALS across disease stages from a US payer perspective we assessed HCRU and costs in early-, mid-, and late-stage ALS. Using insurance claims data from the IBM MarketScan Databases between January 2013 and December 2019, we identified plwALS as having at least 2 claims at least 27 days apart with an ALS International Classification of Diseases, Ninth or Tenth Revision diagnosis code (335.20/G12.21) or at least 1 ALS diagnosis code and prescription filled for riluzole/edaravone. Eligible plwALS were aged at least 18 years and had at least 12 months of enrollment data before and at least 6 months after the index date (date diagnosis criteria met). plwALS were grouped into disease stages using an ALS severity-based staging algorithm developed using ALS symptom and staging survey data from 142 neurologists reporting on 880 plwALS. The starting date of each severity stage was defined as the first date of an ALS symptom within the early-, mid-, and late-stage categories, respectively. The ending date for a severity stage was defined as the day before the first date of an ALS symptom from a more severe category. plwALS could transition to more severe stages, with reverse transition of severity excluded. Mixed regression modeling was used to assess differences in HCRU and costs per person-year between severity stages, adjusted for age and sex. 2,273 plwALS were included in the total ALS study sample, with 1,215 early-stage, 1,511 midstage, and 1,186 late-stage plwALS. 90% of early-stage plwALS had ALS symptoms before diagnosis, and 27% of late-stage plwALS had a late-stage symptom before diagnosis. In the evaluation period, later-stage ALS groups had more overall hospital admissions (early = 0.15, middle = 0.23, and late = 0.74; P < 0.01), outpatient visits/service (early = 26.81, middle = 32.78, and late = 48.54; P < 0.01), emergency department visits (early = 0.46, middle = 0.69, and late = 1.03; P < 0.01), and total prescription count (early = 9.23, middle = 11.37, and late = 12.72; P < 0.01) over 12 months. Annualized costs increased as ALS progressed (early = $31,411, middle = $51,481, and late = $121,903; P < 0.01), which was primarily driven by higher frequency of and cost per hospital admission. HCRU and costs increased with ALS progression, with diagnosis frequently occurring even after experiencing late-stage symptoms. These findings highlight the potential value of delaying progression into a more resource-intensive stage by diagnosing and adequately treating plwALS earlier in the disease course.

Predicting clinical events characterizing the progression of amyotrophic lateral sclerosis via machine learning approaches using routine visits data: a feasibility study

BackgroundAmyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that results in death within a short time span (3-5 years). One of the major challenges in treating ALS is its highly heterogeneous disease progression and the lack of effective prognostic tools to forecast it. The main aim of this study was, then, to test the feasibility of predicting relevant clinical outcomes that characterize the progression of ALS with a two-year prediction horizon via artificial intelligence techniques using routine visits data.MethodsThree classification problems were considered: predicting death (binary problem), predicting death or percutaneous endoscopic gastrostomy (PEG) (multiclass problem), and predicting death or non-invasive ventilation (NIV) (multiclass problem). Two supervised learning models, a logistic regression (LR) and a deep learning multilayer perceptron (MLP), were trained ensuring technical robustness and reproducibility. Moreover, to provide insights into model explainability and result interpretability, model coefficients for LR and Shapley values for both LR and MLP were considered to characterize the relationship between each variable and the outcome.ResultsOn the one hand, predicting death was successful as both models yielded F1 scores and accuracy well above 0.7. The model explainability analysis performed for this outcome allowed for the understanding of how different methodological approaches consider the input variables when performing the prediction. On the other hand, predicting death alongside PEG or NIV proved to be much more challenging (F1 scores and accuracy in the 0.4-0.6 interval).ConclusionsIn conclusion, predicting death due to ALS proved to be feasible. However, predicting PEG or NIV in a multiclass fashion proved to be unfeasible with these data, regardless of the complexity of the methodological approach. The observed results suggest a potential ceiling on the amount of information extractable from the database, e.g., due to the intrinsic difficulty of the prediction tasks at hand, or to the absence of crucial predictors that are, however, not currently collected during routine practice.

The neuropharmacological and clinical effects of lutein: a systematic review.

Neurodegenerative diseases are defined by specific protein accumulation and anatomic vulnerability leading to neuronal loss. Some studies have shown that lutein may have an effect on neurodegenerative diseases. As most of the neurodegenerative diseases don't have certain cure and therapies focus on symptom control, Lutein may be a complementary treatment. Due to controversies in studies investigating lutein effect on neurodegenerative diseases, we decided to perform a systematic review on these studies. A systematic search was carried out in the available databases. We used all MeSH terms and relevant keywords. Studies that reported relationship between lutein and any neurodegenerative disease were included. We found 278 studies. After removing duplicates, screening by titles and abstracts and excluding irrelevant papers, 17 articles were included in this study. Fourteen studies investigated Alzheimer's disease, 2 studies Parkinson's disease and 1 study Amyotrophic lateral sclerosis. 1/17 study found that high serum levels of lutein at baseline were associated with a lower risk of AD mortality and lutein effect on lipid profile have been investigated in 2/17 studies. Also, 1/17 study has been shown that high intake of lutein may reduce the risk of ALS progression. 4/17 studies confirm that lutein can improve cognitive function. 8/17 studies demonstrate a reduction inthe progression of AD, and 2/17 studies indicate an improvement in lipid profiles. However, some studies did not find any significant associations. Additionally, there is a limited number of studies investigating the effects of lutein on other neurodegenerative diseases.

Potential role of solid lipid curcumin particle (SLCP) as estrogen replacement therapy in mitigating TDP-43-related neuropathy in the mouse model of ALS disease

BackgroundAmyotrophic lateral sclerosis (ALS) was first identified in 1869, but it wasn't until the 2014 Ice Bucket Challenge that widespread attention was drawn to the disease. Since then, substantial research has been dedicated to developing treatments for ALS. Despite this, only three drugs - riluzole, edaravone and AMX0035, have been approved for clinical use, and they can only temporarily alleviate mild symptoms without significant disease modification or cure. Therefore, there remains a critical unmet need to identify disease modifying or curative therapies for ALS. The higher incidence and more severe progression of ALS and FTLD (frontotemporal lobar degeneration) observed in men and postmenopausal woman compared to young women suggests that sex hormones may significantly influence disease onset and progression. In both animal models and human clinical studies, 17β estradiol (E2) has been shown to delay and improve the outcomes of many neurodegenerative diseases. Here, we examined the role of TDP-43 in the regulation of estrogen-related enzymes, CYP19A1 and CYP3A4. In addition, we examined the impact of curcumin on the regulation of estrogen E2 levels and TDP-43-associated neuropathy as a potential therapeutic strategy for the treatment of FTLD and ALS. MethodsPrp-TDP-43A315T mice was used as a model of ALS/FTLD to examine the expression patterns of E2 and its biosynthesis and degradation enzymes, CYP19A1 and CYP3A4. Moreover, the molecular mechanisms and the potency of solid lipid curcumin particles (SLCP) as an E2 replacement therapy for TDP-43 associated neuropathy was analyzed. We further examined the survival rates and the pathological TDP43 patterns in female and male Prp-TDP-43A315T mice administrated with or without SLCP. In addition, the changed expression levels of enzymes corresponding to E2 biosynthesis and degradation in the spinal cord of female and male Prp-TDP-43A315T mice with or without SLCP were determined. ResultsWe found that in addition to E2, the expression patterns of CYP19A1 and CYP3A4 proteins differed between Prp-TDP-43A315T mice compared to wild-type control, suggesting that toxic phosphorylated TDP43 oligomers may disrupt the balance between CYP19A1 and CYP3A4 expression, leading to reduced estrogen biosynthesis and accelerated degradation. In addition, we found that oral administration of SLCP prolonged the survival rates in female Prp-TDP-43A315T mice and significantly reduced the pathological insoluble phosphorylated TDP-43 species. Furthermore, SLCP attenuated disease progression associated with TDP-43-related neuropathies through modulating estrogen biosynthesis and the activity of CYP450 enzymes. ConclusionsOur results showed that Prp-TDP-43A315T mice exhibit altered estradiol levels. Moreover, we demonstrated the efficacy of SLCP as an estrogen replacement therapy in mitigating TDP-43-associated disease progression and pathogenesis. These findings suggest that SLCP could be a promising strategy to induce E2 expression for the treatment of ALS and FTLD.

Profiles of disease progression and predictors of mortality in Colombian patients with amyotrophic lateral sclerosis: a comprehensive longitudinal study

Objective: This study aimed to assess the prognostic value of the Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised (ALSFRS-R) in predicting mortality and characterizing disease progression patterns in ALS patients in Colombia. Methods: We conducted a retrospective longitudinal analysis of 537 ALS patients from the Roosevelt Institute Rehabilitation Service between October 2008 and October 2022. The study excluded nine patients due to incomplete data, resulting in 528 individuals in the analysis. ALS diagnoses were confirmed using the revised El Escorial and Gold Coast criteria. Disease progression was assessed using the ALSFRS-R, and mortality data were sourced from follow-up calls and a national database. Statistical analysis included Cox proportional hazards models to identify mortality predictors and Growth Mixture Modeling (GMM) to explore ALS progression trajectories. Results: The majority of the cohort (63.8%) deceased within the 84-month follow-up period. Survival analysis revealed that each point increase in the ALSFRS-R rate was associated with a 2.22-fold (95% CI =1.99–2.48, p < 0.001) increased risk of mortality. In the population with data from two clinical visits, the ALSFRS-R rate based on initial assessments predicted mortality more effectively over 36 months than the rate based on two evaluations. GMM identified three distinct progression trajectories: slow, intermediate, and rapid decliners. Conclusions: The ALSFRS-R rate, derived from self-reported symptom onset, significantly predicts mortality, underscoring its value in clinical assessments. This study highlights the heterogeneity in disease progression among Colombian ALS patients, indicating the necessity for personalized treatment approaches based on individual progression trajectories. Further studies are needed to refine these predictive models and improve patient management and outcomes.

Sex-related Differences in ALS Survival and Progression: Insights from a Population-based Study (P6-11.004)

Sex-related Differences in ALS Survival and Progression: Insights from a Population-based Study (P6-11.004)

Serum cytokines profile changes in amyotrophic lateral sclerosis

BackgroundAmyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disorder, characterized by progressive limb weakness, dysphagia, dysphonia, and respiratory failure due to degeneration of upper and lower motor neurons. The pathogenesis of ALS is still unclear. Neuroinflammation has been found to be involved in its development and progression. Cytokines play a significant role in the inflammatory process. This study aims to identify novel biomarkers that may assist in the diagnosis of ALS. MethodsIn Fujian Medical University Union Hospital and Huashan Hospital Fudan University, two independent centers, we prospectively recruited 50 ALS patients, and 41 healthy controls (25 ALS and 26 controls in the first stage and 25 ALS and 15 controls in the validation stage). An 18-plex Luminex kit was used to screen the serum cytokines levels in the first stage. Commercial ELISA kits were used to measure the levels of target cytokines in the validation stage. A single-molecule array HD-X platform was applied to assess the levels of serum neurofilament light chain (NFL). ResultsThe levels of serum IL-18 were markedly increased in patients with ALS in the first stage (p = 0.016). The ROC curve showed an area under the curve at 0.695 (95% CI 0.50–0.84) in distinguishing ALS patients from healthy controls. The IL-21 was decreased in elderly patients when grouped by 55 years old (the medium age). Furthermore, the IL-5, IL-13, IL-18, and NFL had a positive relationship with the disease progression of ALS. We also found that serum IL-18 was markedly increased in ALS patients in the validation stage (167.67 [148.25–175.59] vs 116.44 [102.43–122.19]pg/ml, p < 0.0015). ConclusionIn this study, we identified systemic cytokine profile changes in the serum of ALS patients, especially the elevated IL-18, as well as the decreased IL-21 in elder patients. These changes in serum cytokine profiles may shed new light on an in-depth understanding of the immunopathogenic characteristics of ALS.

Impact of demographic factors, comorbidities, and co‐medication on progression and survival in a large Chinese ALS cohort

AbstractObjectiveTo clarify the impact of specific risk/protective factors on the disease progression and survival in a large population of Chinese sporadic ALS (sALS) patients.MethodsWe investigated a cohort of 937 sALS patients prospectively. Uni‐ and multivariate regression analysis were performed to analyze the influence of demographic factors, comorbidities and medication on the progression and survival of ALS.ResultsOur results showed younger age of onset (p &lt; 0.05), long diagnostic delay (p &lt; 0.001) and intake of riluzole (p &lt; 0.001) were significantly related to low progression rate and long survival time. History of smoking (p &lt; 0.05) and bulbar onset (p &lt; 0.001) were risk factors for rapid progression and poor prognosis. Baseline ALSFRS‐R score (p &lt; 0.001) and total MRC score (p &lt; 0.05) were positively related to mean survival time of included patients. Neither comorbidities nor intake of antihypertensive drugs, antidiabetics, and statins as dependent variables showed considerable influence on ALS progression or survival.ConclusionOur study revealed early onset and long diagnostic delay were indicators of slow progression and long survival. Smoking and bulbar onset were risk factors for shorter survival times and abstaining from smoking was beneficial to patients with ALS in improving median survival time. Long‐term intake of riluzole should be recommended for affordable patients.

Utilizing neurodegenerative markers for the diagnostic evaluation of amyotrophic lateral sclerosis

BackgroundAmyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive deterioration of upper and lower motor neurons. A definitive diagnostic test or biomarker for ALS is currently unavailable, leading to a diagnostic delay following the onset of initial symptoms. Our study focused on cerebrospinal fluid (CSF) concentrations of clusterin, tau protein, phosphorylated tau protein, and beta-amyloid1–42 in ALS patients and a control group.MethodsOur study involved 54 ALS patients and 58 control subjects. Among the ALS patients, 14 presented with bulbar-onset ALS, and 40 with limb-onset ALS. We quantified biomarker levels using enzyme-linked immunosorbent assay (ELISA) and compared the results using the Mann–Whitney U-test.ResultsSignificant elevations in neurodegenerative markers, including tau protein (p < 0.0001), phosphorylated tau protein (p < 0.0001), and clusterin (p = 0.038), were observed in ALS patients compared to controls. Elevated levels of tau protein and phosphorylated tau protein were also noted in both bulbar and limb-onset ALS patients. However, no significant difference was observed for beta-amyloid1–42. ROC analysis identified tau protein (AUC = 0.767) and p-tau protein (AUC = 0.719) as statistically significant predictors for ALS.ConclusionOur study demonstrates that neurodegenerative marker levels indicate an ongoing neurodegenerative process in ALS. Nonetheless, the progression of ALS cannot be predicted solely based on these markers. The discovery of a specific biomarker could potentially complement existing diagnostic criteria for ALS.

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

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. 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. 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. 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. 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. 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.

Temporal and spatial progression of microstructural cerebral degeneration in ALS: A multicentre longitudinal diffusion tensor imaging study

ObjectiveThe corticospinal tract (CST) reveals progressive microstructural alterations in ALS measurable by DTI. The aim of this study was to evaluate fractional anisotropy (FA) along the CST as a longitudinal marker of disease progression in ALS. MethodsThe study cohort consisted of 114 patients with ALS and 110 healthy controls from the second prospective, longitudinal, multicentre study of the Canadian ALS Neuroimaging Consortium (CALSNIC-2). DTI and clinical data from a harmonized protocol across 7 centres were collected. Thirty-nine ALS patients and 61 controls completed baseline and two follow-up visits and were included for longitudinal analyses. Whole brain-based spatial statistics and hypothesis-guided tract-of-interest analyses were performed for cross-sectional and longitudinal analyses. ResultsFA was reduced at baseline and longitudinally in the CST, mid-corpus callosum (CC), frontal lobe, and other ALS-related tracts, with alterations most evident in the CST and mid-CC. CST and pontine FA correlated with functional impairment (ALSFRS-R), upper motor neuron function, and clinical disease progression rate. Reduction in FA was largely located in the upper CST; however, the longitudinal decline was greatest in the lower CST. Effect sizes were dependent on region, resulting in study group sizes between 17 and 31 per group over a 9-month interval. Cross-sectional effect sizes were maximal in the upper CST; whereas, longitudinal effect sizes were maximal in mid-callosal tracts. ConclusionsProgressive microstructural alterations in ALS are most prominent in the CST and CC. DTI can provide a biomarker of cerebral degeneration in ALS, with longitudinal changes in white matter demonstrable over a reasonable observation period, with a feasible number of participants, and within a multicentre framework.

Exploring epigenetic drift and rare epivariations in amyotrophic lateral sclerosis by epigenome-wide association study

During the last decades, our knowledge about the genetic architecture of sporadic amyotrophic lateral sclerosis (sALS) has significantly increased. However, besides the recognized genetic risk factors, also the environment is supposed to have a role in disease pathogenesis. Epigenetic modifications reflect the results of the interaction between environmental factors and genes and may play a role in the development and progression of ALS. A recent epigenome-wide association study (EWAS) in blood identified differentially methylated positions mapping to 42 genes involved in cholesterol biosynthesis and immune-related pathways. Here we performed a genome-wide DNA methylation analysis in the blood of an Italian cohort of 61 sALS patients and 61 healthy controls. Initially, a conventional genome-wide association analysis was performed, and results were subsequently integrated with the findings from the previous EWAS using a meta-analytical approach. To delve deeper into the significant outcomes, over-representation analysis (ORA) was employed. Moreover, the epigenetic signature obtained from the meta-analysis was examined to determine potential associations with chemical compounds, utilizing the Toxicogenomic Database. Expanding the scope of the epigenetic analysis, we explored both epigenetic drift and rare epivariations. Notably, we observed an elevated epigenetic drift in sALS patients compared to controls, both at a global and single gene level. Interestingly, epigenetic drift at a single gene level revealed an enrichment of genes related to the neurotrophin signaling pathway. Moreover, for the first time, we identified rare epivariations exclusively enriched in sALS cases associated with 153 genes, 88 of whom with a strong expression in cerebral areas. Overall, our study reinforces the evidence that epigenetics may contribute to the pathogenesis of ALS and that epigenetic drift may be a useful diagnostic marker. Moreover, this study suggests the potential role of epivariations in ALS.

Analysis of damage-associated molecular patterns in amyotrophic lateral sclerosis based on ScRNA-seq and bulk RNA-seq data.

Amyotrophic Lateral Sclerosis (ALS) is a devastating neurodegenerative disorder characterized by the progressive loss of motor neurons. Despite extensive research, the exact etiology of ALS remains elusive. Emerging evidence highlights the critical role of the immune system in ALS pathogenesis and progression. Damage-Associated Molecular Patterns (DAMPs) are endogenous molecules released by stressed or damaged cells, acting as danger signals and activating immune responses. However, their specific involvement in ALS remains unclear. We obtained single-cell RNA sequencing (scRNA-seq) data of ALS from the primary motor cortex in the Gene Expression Omnibus (GEO) database. To better understand genes associated with DAMPs, we performed analyses on cell-cell communication and trajectory. The abundance of immune-infiltrating cells was assessed using the single-sample Gene Set Enrichment Analysis (ssGSEA) method. We performed univariate Cox analysis to construct the risk model and utilized the least absolute shrinkage and selection operator (LASSO) analysis. Finally, we identified potential small molecule drugs targeting ALS by screening the Connectivity Map database (CMap) and confirmed their potential through molecular docking analysis. Our study annotated 10 cell types, with the expression of genes related to DAMPs predominantly observed in microglia. Analysis of intercellular communication revealed 12 ligand-receptor pairs in the pathways associated with DAMPs, where microglial cells acted as ligands. Among these pairs, the SPP1-CD44 pair demonstrated the greatest contribution. Furthermore, trajectory analysis demonstrated distinct differentiation fates of different microglial states. Additionally, we constructed a risk model incorporating four genes (TRPM2, ROCK1, HSP90AA1, and HSPA4). The validity of the risk model was supported by multivariate analysis. Moreover, external validation from dataset GSE112681 confirmed the predictive power of the model, which yielded consistent results with datasets GSE112676 and GSE112680. Lastly, the molecular docking analysis suggested that five compounds, namely mead-acid, nifedipine, nifekalant, androstenol, and hydrastine, hold promise as potential candidates for the treatment of ALS. Taken together, our study demonstrated that DAMP entities were predominantly observed in microglial cells within the context of ALS. The utilization of a prognostic risk model can accurately predict ALS patient survival. Additionally, genes related to DAMPs may present viable drug targets for ALS therapy.

IMPACT-ALS: summary of results from a European survey of people living with ALS

Objective The IMPACT-ALS survey collected the experiences of people living with ALS (plwALS) across nine European countries. We aimed to better understand the functional burden of ALS to ensure the experiences of plwALS inform the development of person-centered therapies. Methods The content was informed by the US IMPACT-ALS survey, with adjustments relevant to the European population. Questionnaires consisted of four modules, each of which was pilot tested in advance of distribution. Data were captured using the Qualtrics software and were analyzed in SPSS. Results 857 respondents completed the survey, with a participation rate ranging from 0.2% to 6.3% across the nine participating countries. The majority were male and aged 55–74 years old. In the previous 2 weeks, symptoms experienced included weakness (81%), fatigue (61%), speech impairment (38%), pain (27%), and depression and other mood changes (23%). Eighty-two percent of respondents reported fears, of which the most common were leaving family too soon (68%) and death from respiratory failure (50%). Lifestyle changes since diagnosis were reported by 89% of respondents, with less time spent doing most daily activities but more time on the internet (81%), reading (56%) and communicating with family and friends (55%). Stopping progression of ALS was the most desired impact for a new therapy for 68% respondents. Conclusions The European IMPACT-ALS survey has generated insights into the complex experiences of plwALS. The data provide unique patient perspectives on common symptoms, fears, functional limitations, lifestyle changes, and wishes for future therapies that will enhance patient-centric care in ALS.

Healthcare resource utilization at different stages of amyotrophic lateral sclerosis: Results from a real-world survey

People with amyotrophic lateral sclerosis (pALS) require complex, multi-disciplinary care, resulting in extensive healthcare resource utilization (HCRU). To investigate the relationship between HCRU and ALS progression, the study objectives were (i) to characterize HCRU in pALS and (ii) to establish whether this varied according to disease stage, as defined using three different methodologies: neurologist-defined early/mid/late stage, the King's clinical staging system for ALS, and the Milan Torino Staging system for ALS (MiToS). Real-world data were drawn from the Adelphi ALS Disease-Specific Programme™, a point-in-time survey of neurologists in France, Germany, Italy, Spain, the UK, and the USA conducted July 2020–March 2021. The analysis included survey responses from 142 physicians with respect to 880 pALS. With advancing ALS stage, significant differences were observed in the number of healthcare professional consultations and X-rays per person (both p < 0.05 for all staging systems), and the proportion of pALS with emergency room admissions, intensive care unit admissions, and assisted ventilation (all p < 0.05 for all staging systems). Across stages, >55% of pALS received care from a general neurologist and a general/primary care practitioner. With increasing stage, there was a significant difference in the proportion receiving care from a physical therapist, pulmonologist/respiratory care practitioner, respiratory therapist, speech/language therapist, and palliative care team, and in the proportion receiving care only from professional caregivers (all p < 0.05 for all staging systems). This study confirmed the substantial HCRU required to support pALS through all stages of ALS and highlighted an increasing need for healthcare resources as the disease progresses.

The cholesterol depleting agent, (2-Hydroxypropyl)-ß-cyclodextrin, does not affect disease progression in SOD1G93A mice

Objective Previously, we demonstrated that Amyloid Precursor Protein (APP) contributes to pathology in the SOD1G93A mouse model of ALS and that genetic ablation of APP in SOD1G93A mice significantly improved multiple disease parameters, including muscle innervation and motor neuron survival. We also observed elevated levels of potentially neurotoxic Aß peptides that have been implicated in Alzheimer’s Disease (AD) pathogenesis, within motor neurons and astrocytes in SOD1G93A mice. More recently, it has been shown that blocking Aß production improves outcome measures in SOD1G93A mice. The cyclodextrin, (2-Hydroxypropyl)-ß-cyclodextrin (HP-β-CD), has previously been shown to deplete intraneuronal unesterified cholesterol, resulting in effective reduction of Aß production and amelioration of disease progression in mouse models of AD and Niemann Pick Type C (NPC) disease. Here, we tested whether HP-β-CD could also improve phenotypic progression in SOD1G93A mice. Methods Pre-symptomatic male SOD1G93A mice were randomly assigned to the following treatment groups: HP-β-CD (4000mg/kg, n = 9) or vehicle (saline; n = 10), delivered by weekly subcutaneous injection, commencing at 67 days of age. Longitudinal grip-strength and body mass analysis was performed until late-stage disease (120 days of age), followed by in vivo bilateral isometric muscle tension analysis of tibialis anterior (TA) and extensor digitorum longus (EDL) muscles. Results: HP-β-CD administration had no effect on body mass or grip-strength compared to vehicle treated SOD1G93A mice. Similarly, HP-β-CD treatment had no effect on muscle force, contractile properties or motor unit number estimates (MUNE) at late-stage disease in SOD1G93A mice. Conclusion This study shows that HP-β-CD does not confer any therapeutic benefit in SOD1G93A mice. However, the absence of detrimental effects is informative, given the common use of cyclodextrins as complexing agents for other pharmaceutical products, their standalone therapeutic potential and the emerging association between dyslipidaemia and ALS progression.

Fatty acids might slow ALS progression.

Fatty acids might slow ALS progression.