Alterations in nasal microbiota of patients with amyotrophic lateral sclerosis

Abstract Background: Links between alterations in gut microbiota composition and amyotrophic lateral sclerosis (ALS) have previously been reported. This study aimed to examine the microbiota in the nasal cavity of ALS. Methods: Sixty-six ALS patients and 40 healthy caregivers who live in close proximity with patients were enrolled. High throughput metagenomic sequencing of the 16S ribosomal deoxyribonucleic acid (rDNA) gene V3–V4 region of nasal microbiota was used to characterize the alpha and beta diversity and relative abundance of bacterial taxa, predict function, and conduct correlation analysis between specific taxa and clinical features. Results: The nasal microbiome of ALS patients showed lower alpha diversity than that of corresponding healthy family members. Genera Gaiella , Sphingomonas , Polaribacter _1, Lachnospiraceae _NK4A136_group, Klebsiella , and Alistipes were differentially enriched in ALS patients compared to controls. Nasal microbiota composition in ALS patients significantly differed from that in healthy subjects (unweighted UniFrac P = 0.001), while Linear discriminant analysis Effect Size (LEfSe) analysis indicated that Bacteroidetes and Firmicutes dominated healthy nasal communities at the phylum level, whereas Actinobacteria was the predominant phylum and Thermoleophilia was the predominant class in ALS patients. Genus Faecalibacterium and Alistipes were positively correlated with ALS functional rating scale revised (ALSFRS-R; r s = 0.349, P = 0.020 and r s = 0.393, P = 0.008), while Prevotella -9 and Bacteroides operational taxonomic units (OTUs) were positively associated with lung function (FVC) in ALS patients ( r s = 0.304, P = 0.045, and r s = 0.300, P = 0.048, respectively). Prevotella -1 was positively correlated with white blood cell counts (WBC, r s = 0.347, P = 0.021), neutrophil percentage (Neu%, r s = 0.428, P = 0.004), and neutrophil-to-lymphocyte ratio (NLR, r s = 0.411, P = 0.006), but negatively correlated with lymphocyte percentage (Lym%, r s = –0.408, P = 0.006). In contrast, Streptococcus was negatively associated with Neu% ( r s = –0.445, P = 0.003) and NLR ( r s = –0.436, P = 0.003), while positively associated with Lym% ( r s = 0.437, P = 0.003). No significant differences in nasal microbiota richness and evenness were detected among the severe and mild ALS patients. Conclusions: ALS is accompanied by altered nasal microbial community composition and diversity. The findings presented here highlight the need to understand how dysbiosis of nasal microbiota may contribute to the development of ALS.