Deutsch
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Microbiome 2016-06

Reduced diversity and altered composition of the gut microbiome in individuals with myalgic encephalomyelitis/chronic fatigue syndrome.

Nur registrierte Benutzer können Artikel übersetzen
Einloggen Anmelden
Der Link wird in der Zwischenablage gespeichert
Ludovic Giloteaux
Julia K Goodrich
William A Walters
Susan M Levine
Ruth E Ley
Maureen R Hanson

Schlüsselwörter

Abstrakt

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 (n = 48) and controls (n = 39). 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).

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 %.

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.

Treten Sie unserer
Facebook-Seite bei

Die vollständigste Datenbank für Heilkräuter, die von der Wissenschaft unterstützt wird

  • Arbeitet in 55 Sprachen
  • Von der Wissenschaft unterstützte Kräuterkuren
  • Kräutererkennung durch Bild
  • Interaktive GPS-Karte - Kräuter vor Ort markieren (in Kürze)
  • Lesen Sie wissenschaftliche Veröffentlichungen zu Ihrer Suche
  • Suchen Sie nach Heilkräutern nach ihrer Wirkung
  • Organisieren Sie Ihre Interessen und bleiben Sie über Neuigkeiten, klinische Studien und Patente auf dem Laufenden

Geben Sie ein Symptom oder eine Krankheit ein und lesen Sie über Kräuter, die helfen könnten, geben Sie ein Kraut ein und sehen Sie Krankheiten und Symptome, gegen die es angewendet wird.
* Alle Informationen basieren auf veröffentlichten wissenschaftlichen Forschungsergebnissen

Google Play badgeApp Store badge