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Novikova, P. V.

Publications and source records attributed to Novikova, P. V..

2 recordsLinked to original sources

Human gut microbiome gene co-expression network reveals a loss in taxonomic and functional diversity in Parkinson's disease

Alterations of gut microbiome structure have been observed in a panoply of human diseases including neurodegeneration. However, the ecological and functional deficits of microbiome dysbiosis have yet to be understood. Here, using integrated multi-omics (metagenomics and metatranscriptomics), we resolve microbiome gene co-expression networks in individuals with Parkinsons disease (PD) and healthy individuals. We uncover network modules with high closeness and degree centrality that represent core ecological functions, and identify key features lost in PD. More specifically, we observe a significant depletion in specific functions including secondary bile acid biosynthesis and flagellar assembly (FA) in PD. Strikingly, most hub genes, particularly those involved in bacterial microcompartments (BMCs) and FA, are predominantly found in healthy individuals. Blautia and Anaerobutyricum genera are the main contributors to these functions, showing significantly lower expression of BMC genes in PD. Additionally, we identify a strong correlation between the expression of BMC and FA genes, but also an apparent dysregulation in cross feeding between commensals in PD. Importantly, gene expression in PD was tied to reduced diversity in expressed genes, whereas in healthy individuals, higher expression levels were linked to higher diversity. Our findings reveal disruptions in key gut metabolic functions at both functional and taxonomic levels, potentially driving disease progression. Notably, we identify crucial microbiome-wide ecological features that should be restored in future gut microbiome rewilding efforts.

microbiology↗

Functional assignment of gut-specific archaeal proteins in the human gut microbiome

The human gastrointestinal tract contains diverse microbial communities, including archaea. Among them, Methanobrevibacter smithii represents a highly active and clinically relevant methanogenic archaeon, being involved in gastrointestinal disorders, such as IBD and obesity. Herein, we present an integrated approach using sequence and structure information to improve the annotation of M. smithii proteins using advanced protein structure prediction and annotation tools, such as AlphaFold2, trRosetta, ProFunc, and DeepFri. Of an initial set of 873 481 archaeal proteins, we found 707 754 proteins exclusively present in the human gut. Having analysed archaeal proteins together with 87 282 994 bacterial proteins, we identified unique archaeal proteins and archaeal-bacterial homologs. We then predicted and characterized functional domains and structures of 73 unique and homologous archaeal protein clusters linked the human gut and M. smithii. We refined annotations based on the predicted structures, extending existing sequence similarity-based annotations. We identified gut-specific archaeal proteins that may be involved in defense mechanisms, virulence, adhesion, and the degradation of toxic substances. Interestingly, we identified potential glycosyltransferases that could be associated with N-linked and O-glycosylation. Additionally, we found preliminary evidence for interdomain horizontal gene transfer between Clostridia species and M. smithii, which includes sporulation stage V proteins AE and AD. Our study broadens the understanding of archaeal biology, particularly M. smithii, and highlights the importance of considering both sequence and structure for the prediction of protein function.

microbiology↗