Multi-omics examination of Q fever fatigue syndrome identifies similarities with chronic fatigue syndrome

摘要: Q fever fatigue syndrome (QFS) is characterised by a state of prolonged that seen in 20% acute infections and has major health-related consequences. The molecular mechanisms underlying QFS are largely unclear. In order to better understand its pathogenesis, we applied multi-omics approach study the patterns gut microbiome, blood metabolome, inflammatory proteome patients, compared these with those chronic (CFS) patients healthy controls (HC). population consisted 31 50 CFS 72 HC. All subjects were matched for age, gender, general geographical region (South-East part Netherlands). microbiome composition was assessed Metagenomic sequencing using Illumina HiSeq platform. A total 92 circulating markers measured Proximity Extension Essay 1607 metabolic features high-throughput non-targeted metabolomics approach. Inflammatory markers, including 4E-BP1 (P = 9.60–16 1.41–7) MMP-1 (P = 7.09–9 3.51–9), significantly more expressed both Blood metabolite profiles show significant differences when comparing (319 metabolites) (441 HC, enriched pathways like sphingolipid (P = 0.0256 0.0033) metabolism. When almost no metabolome found. Comparison taxonomy shows in- decreases abundancies Bacteroidetes (with emphasis on Bacteroides Alistiples spp.), Firmicutes Actinobacteria Ruminococcus Bifidobacterium spp.). compare there striking resemblance hardly any We similar across three different omics layers have potential distinguish from