Back to Search
Start Over
Reduced diversity and altered composition of the gut microbiome in individuals with myalgic encephalomyelitis/chronic fatigue syndrome.
Reduced diversity and altered composition of the gut microbiome in individuals with myalgic encephalomyelitis/chronic fatigue syndrome.
- Source :
-
Microbiome [Microbiome] 2016 Jun 23; Vol. 4 (1), pp. 30. Date of Electronic Publication: 2016 Jun 23. - Publication Year :
- 2016
-
Abstract
- Background: Gastrointestinal disturbances are among symptoms commonly reported by individuals diagnosed with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). However, whether ME/CFS is associated with an altered microbiome has remained uncertain. Here, we profiled gut microbial diversity by sequencing 16S ribosomal ribonucleic acid (rRNA) genes from stool as well as inflammatory markers from serum for cases (nā=ā48) and controls (nā=ā39). We also examined a set of inflammatory markers in blood: C-reactive protein (CRP), intestinal fatty acid-binding protein (I-FABP), lipopolysaccharide (LPS), LPS-binding protein (LBP), and soluble CD14 (sCD14).<br />Results: We observed elevated levels of some blood markers for microbial translocation in ME/CFS patients; levels of LPS, LBP, and sCD14 were elevated in ME/CFS subjects. Levels of LBP correlated with LPS and sCD14 and LPS levels correlated with sCD14. Through deep sequencing of bacterial rRNA markers, we identified differences between the gut microbiomes of healthy individuals and patients with ME/CFS. We observed that bacterial diversity was decreased in the ME/CFS specimens compared to controls, in particular, a reduction in the relative abundance and diversity of members belonging to the Firmicutes phylum. In the patient cohort, we find less diversity as well as increases in specific species often reported to be pro-inflammatory species and reduction in species frequently described as anti-inflammatory. Using a machine learning approach trained on the data obtained from 16S rRNA and inflammatory markers, individuals were classified correctly as ME/CFS with a cross-validation accuracy of 82.93 %.<br />Conclusions: Our results indicate dysbiosis of the gut microbiota in this disease and further suggest an increased incidence of microbial translocation, which may play a role in inflammatory symptoms in ME/CFS.
- Subjects :
- Acute-Phase Proteins metabolism
Adult
Aged
Biodiversity
C-Reactive Protein metabolism
Carrier Proteins metabolism
Case-Control Studies
DNA, Ribosomal analysis
Fatigue Syndrome, Chronic metabolism
Fatty Acid-Binding Proteins metabolism
Feces microbiology
Female
Firmicutes isolation & purification
Gastrointestinal Microbiome
Humans
Lipopolysaccharide Receptors metabolism
Male
Membrane Glycoproteins metabolism
Middle Aged
Phylogeny
Young Adult
Bacteria classification
Dysbiosis diagnosis
Fatigue Syndrome, Chronic microbiology
High-Throughput Nucleotide Sequencing methods
RNA, Ribosomal, 16S analysis
Sequence Analysis, DNA methods
Subjects
Details
- Language :
- English
- ISSN :
- 2049-2618
- Volume :
- 4
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Microbiome
- Publication Type :
- Academic Journal
- Accession number :
- 27338587
- Full Text :
- https://doi.org/10.1186/s40168-016-0171-4