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Objective: Hyaluronan, a glycosaminoglycan that forms a major constituent of the extracellular matrix, has been shown to be increased in the serum of patients with amyotrophic lateral sclerosis (ALS) with longer disease duration. We sought to determine whether measures of venous hyaluronan may serve as a predictive marker for disease progression in patients with ALS. Methods: Sixty-two patients with ALS, and 59 healthy control participants provided a plasma sample for the assessment of hyaluronan. Hyaluronan was compared against functional measures of disability, disease progression, and survival. Results: Hyaluronan was lower in patients with ALS when compared to healthy controls. Plasma hyaluronan was positively correlated with the change in the revised ALS functional rating scale, ΔFRS. Hyaluronan was also found to improve the prognostic power of the ΔFRS. Conclusion: Hyaluronan may serve as a predictive marker for functional decline in patients with ALS. Longitudinal studies are needed to fully explore the prognostic value of hyaluronan as a biomarker for disease progression, and to improve our understanding of components of the extracellular matrix specific to the pathophysiology of ALS.

Gut microbiota studies have been well-investigated for neurodegenerative diseases such as Alzheimer's and Parkinson's disease, however, fewer studies have comprehensively examined the gut microbiome in Motor Neuron Disease (MND), with none examining its impact on disease prognosis. Here, we investigate MND prognosis and the fecal microbiota, using 16S rRNA case-control data from 100 individuals with extensive medical histories and metabolic measurements. We contrast the composition and diversity of fecal microbiome signatures from 49 MND and 51 healthy controls by combining current gold-standard 16S microbiome pipelines. Using stringent quality control thresholds, we conducted qualitative assessment approaches including; direct comparison of taxa, PICRUSt2 predicted metagenomics, Shannon and Chao1-index and Firmicutes/Bacteroidetes ratio. We show that the fecal microbiome of patients with MND is not significantly different from that of healthy controls that were matched by age, sex, and BMI, however there are distinct differences in Beta-diversity in some patients with MND. Weight, BMI, and metabolic and clinical features of disease in patients with MND were not related to the composition of their fecal microbiome, however, we observe a greater risk for earlier death in patients with MND with increased richness and diversity of the microbiome, and in those with greater Firmicutes to Bacteroidetes ratio. This was independent of anthropometric, metabolic, or clinical features of disease, and warrants support for further gut microbiota studies in MND. Given the disease heterogeneity in MND, and complexity of the gut microbiota, large studies are necessary to determine the detailed role of the gut microbiota and MND prognosis.

Background: Anthropometric measurements including body mass index (BMI) and body adiposity index (BAI) are widely employed as indicators of fat mass (FM). Metabolic abnormalities in amyotrophic lateral sclerosis (ALS) impact disease progression, therefore assessment of FM informs care. The aim of this study was to determine whether BMI and BAI are accurate predictors of FM in ALS. Methodology and main findings: BMI, BAI and percentage FM (determined by air displacement plethysmography; FM-ADP) were measured in control (n = 35) and ALS (n = 44) participants. While BMI and BAI correlated significantly with FM-ADP, neither index provided an accurate estimate of FM. In longitudinally assessed ALS participants (n = 29; ∼six-month repeat assessment interval), although a change in BMI (r2 = 0.62 r = 0.79 p r2 = 0.20 r = 0.44, p = 0.02) correlated with a change in FM-ADP, the anthropometric measures did not consistently reflect increases or decreases observed in FM-ADP. Conclusions/significance: Using FM-ADP as the standard, this study suggests that BMI and BAI are not accurate measures of FM in ALS. Furthermore, longitudinal assessments indicate that changes in BMI and BAI do not consistently reflect true changes of FM in ALS.