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Project description:Transcriptomic analysis of lymphoblastoid cell lines from ALS patients with varying disease duration Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease, associated with the degeneration of both upper and lower motor neurons of the motor cortex, brainstem and spinal cord. Death in most patients results from respiratory failure within 3-4 years from symptom onset. However, due to disease heterogeneity some individuals survive only months from symptom onset while others live for several years. Identifying specific biomarkers that aid in establishing disease prognosis, particularly in terms of predicting disease progression, will help our understanding of ALS pathophysiology and could be used to monitor a patient’s response to drugs and therapeutic agents. Transcriptomic profiling technologies are continually evolving, enabling us to identify key gene changes in biological processes associated with disease. MicroRNAs (miRNAs) are small non-coding RNAs typically associated with regulating gene expression, by degrading mRNA or reducing levels of gene expression. Being able to associate gene expression changes with corresponding miRNA changes would help to distinguish a more complex biomarker signature enabling us to address key challenges associated with complex diseases such as ALS.
2024-01-03 | GSE212131 | GEO
Project description:Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease, associated with the degeneration of both upper and lower motor neurons of the motor cortex, brainstem and spinal cord. Death in most patients results from respiratory failure within 3-4 years from symptom onset. However, due to disease heterogeneity some individuals survive only months from symptom onset while others live for several years. Identifying specific biomarkers that aid in establishing disease prognosis, particularly in terms of predicting disease progression, will help our understanding of ALS pathophysiology and could be used to monitor a patient’s response to drugs and therapeutic agents. Transcriptomic profiling technologies are continually evolving, enabling us to identify key gene changes in biological processes associated with disease. MicroRNAs (miRNAs) are small non-coding RNAs typically associated with regulating gene expression, by degrading mRNA or reducing levels of gene expression. Being able to associate gene expression changes with corresponding miRNA changes would help to distinguish a more complex biomarker signature enabling us to address key challenges associated with complex diseases such as ALS. The present study aimed to investigate the transcriptomic profile (mRNA and miRNA) of lymphoblastoid cell lines (LCLs) from ALS patients to identify key signatures that are distinguishable in those patients who suffered a short disease duration (< 12 months) compared to those that had a longer disease duration (>6 years). Transcriptional profiling of miRNA-mRNA interactions from LCL’s in ALS patients revealed dysregulation of genes involved in cell cycle, DNA damage and RNA processing in patients with longer survival from disease onset compared to those with short survival. Understanding these particular miRNA-mRNA interactions and the pathways in which they are involved may help to distinguish potential therapeutic targets that could exert neuroprotective effects to prolong the life expectancy of ALS patients.
2024-01-03 | GSE212133 | GEO
Project description:Amyotrophic lateral sclerosis (ALS) is among the severe neuro degenerative diseases that lack widely available effective treatments. As the disease progresses, patients lose the control of voluntary muscles. Although the neuronal degeneration is the cause of this disease, the failure mechanism is still unknown. In order to seek genetic mechanisms that initiate and progress ALS, the association of microRNA (miRNA) expression with this disease was considered. Serum miRNAs from healthy controls, sporadic ALS (sALS), familial ALS (fALS) and ALS mutation carriers were investigated. Principal component analysis (PCA)-based unsupervised feature extraction (FE) was applied to these serum miRNA profiles. As a result, we predict miRNAs that can discriminate patients from healthy controls with high accuracy. Thus, these miRNAs can be potential prognosis miRNA biomarkers for ALS.
| S-EPMC5983737 | biostudies-literature
Project description:Amyotrophic lateral sclerosis (ALS) is a debilitating neurodegenerative disorder with complex biology and significant clinical heterogeneity. Many preclinical and early phase ALS clinical trials have yielded promising results that could not be replicated in larger phase 3 confirmatory trials. One reason for the lack of reproducibility may be ALS biological and clinical heterogeneity. Therefore, in this review, we explore sources of ALS heterogeneity that may reduce statistical power to evaluate efficacy in ALS trials. We also review efforts to manage clinical heterogeneity, including use of validated disease outcome measures, predictive biomarkers of disease progression, and individual clinical risk stratification. We propose that personalized prognostic models with use of predictive biomarkers may identify patients with ALS for whom a specific therapeutic strategy may be expected to be more successful. Finally, the rapid application of emerging clinical and biomarker strategies may reduce heterogeneity, increase trial efficiency, and, in turn, accelerate ALS drug development.
| S-EPMC7496557 | biostudies-literature
Project description:The intestinal microbiota may be involved, through metabolic gut-brain interactions, in a variety of neurological conditions. In this addendum, we summarize the findings of our recent study investigating the potentially modulatory influence of the microbiome in a transgenic ALS mouse model, and the possible application to human disease. We found that transgenic mice show evidence of dysbiosis, even at the pre-symptomatic stage, and have a more severe disease course under germ-free conditions or after receiving broad-spectrum antibiotics. We demonstrated that Akkermansia muciniphila ameliorated the disease in mice and that this may be due to the production of nicotinamide. We then conducted a preliminary study in human ALS and identified functionally similar alterations within the metagenome. Furthermore, we found that patients with ALS had lower systemic and CSF levels of nicotinamide, suggesting that the changes observed in the mouse model may be relevant to human disease.
| S-EPMC7524331 | biostudies-literature
Project description:This SuperSeries is composed of the following subset Series: GSE39642: NanoString nCounter immune-related gene expression in blood sorted CD14+CD16- monocytes from sALS, fALS and HC subjects GSE39643: NanoString miRNA profiling of peripheral blood sorted CD14+CD16- monocytes from amyotrophic lateral sclerosis, multiple sclerosis and healthy control subjects Refer to individual Series
2012-07-25 | E-GEOD-39644 | biostudies-arrayexpress
Project description:Identification of amyotrophic lateral sclerosis (ALS) associated genes. Post mortem spinal cord grey matter from sporadic and familial ALS patients compared with controls. Keywords: other
2003-11-14 | GSE833 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below.
2012-07-26 | GSE39644 | GEO
Project description:ALS is a fatal neurodegenerative disorder of motor neurons leading to progressive atrophy and weakness of muscles. Some of the earliest pathophysiological changes occur at the level of skeletal muscle and the neuromuscular junction. We previously identified distinct mRNA patterns, including members of the Smad and TGF-? family, that emerge in muscle tissue at the earliest (pre-clinical) stages. These patterns track disease progression in the mutant SOD1 mouse and are present in human ALS muscle. Because miRNAs play a direct regulatory role in mRNA expression, we hypothesized in this study that there would be distinct miRNA patterns in ALS muscle appearing in early stages that could track disease progression. We performed next-generation miRNA sequencing on muscle samples from G93A SOD1 mice at early (pre-clinical) and late (symptomatic) stages, and identified distinct miRNA patterns at both stages with some overlap. An Ingenuity Pathway Analysis predicted effects on a number of pathways relevant to ALS including TGF-? signaling, axon guidance signaling, and mitochondrial function. A subset of miRNAs was validated in the G93A SOD1 mouse at four stages of disease, and several appeared to track disease progression, including miR-206. We assessed these miRNAs in a large cohort of human ALS and disease control samples and found that some had similar changes but were not specific for ALS. Surprisingly, miR-206 levels did not change overall compared to normal controls, but did correlate with changes in strength of the muscle biopsied. In summary, we identified distinct miRNA patterns in ALS muscle that reflected disease stage which could potentially be used as biomarkers of disease activity.
| S-EPMC5891369 | biostudies-literature
Project description:Amyotrophic lateral sclerosis (ALS) exhibits characteristic variability of onset and rate of disease progression, with inherent clinical heterogeneity making disease quantitation difficult. Recent advances in understanding pathogenic mechanisms linked to the development of ALS impose an increasing need to develop strategies to predict and more objectively measure disease progression. This review explores phenotypic and genetic determinants of disease progression in ALS, and examines established and evolving biomarkers that may contribute to robust measurement in longitudinal clinical studies. With targeted neuroprotective strategies on the horizon, developing efficiencies in clinical trial design may facilitate timely entry of novel treatments into the clinic.
| S-EPMC4305209 | biostudies-other