Multi-omics examination of Q fever fatigue syndrome identifies similarities with chronic fatigue syndrome.
CFS
Fatigue
Inflammation
Metabolome
Microbiome
Omics
Q fever
QFS
Journal
Journal of translational medicine
ISSN: 1479-5876
Titre abrégé: J Transl Med
Pays: England
ID NLM: 101190741
Informations de publication
Date de publication:
26 11 2020
26 11 2020
Historique:
received:
10
08
2020
accepted:
24
10
2020
entrez:
27
11
2020
pubmed:
28
11
2020
medline:
15
5
2021
Statut:
epublish
Résumé
Q fever fatigue syndrome (QFS) is characterised by a state of prolonged fatigue that is seen in 20% of acute Q fever infections and has major health-related consequences. The molecular mechanisms underlying QFS are largely unclear. In order to better understand its pathogenesis, we applied a multi-omics approach to study the patterns of the gut microbiome, blood metabolome, and inflammatory proteome of QFS patients, and compared these with those of chronic fatigue syndrome (CFS) patients and healthy controls (HC). The study population consisted of 31 QFS patients, 50 CFS patients, and 72 HC. All subjects were matched for age, gender, and general geographical region (South-East part of the Netherlands). The gut microbiome composition was assessed by Metagenomic sequencing using the Illumina HiSeq platform. A total of 92 circulating inflammatory markers were measured using Proximity Extension Essay and 1607 metabolic features were assessed with a high-throughput non-targeted metabolomics approach. Inflammatory markers, including 4E-BP1 (P = 9.60 We show that QFS and CFS patients are similar across three different omics layers and 4E-BP1 and MMP-1 have the potential to distinguish QFS and CFS patients from HC.
Sections du résumé
BACKGROUND
Q fever fatigue syndrome (QFS) is characterised by a state of prolonged fatigue that is seen in 20% of acute Q fever infections and has major health-related consequences. The molecular mechanisms underlying QFS are largely unclear. In order to better understand its pathogenesis, we applied a multi-omics approach to study the patterns of the gut microbiome, blood metabolome, and inflammatory proteome of QFS patients, and compared these with those of chronic fatigue syndrome (CFS) patients and healthy controls (HC).
METHODS
The study population consisted of 31 QFS patients, 50 CFS patients, and 72 HC. All subjects were matched for age, gender, and general geographical region (South-East part of the Netherlands). The gut microbiome composition was assessed by Metagenomic sequencing using the Illumina HiSeq platform. A total of 92 circulating inflammatory markers were measured using Proximity Extension Essay and 1607 metabolic features were assessed with a high-throughput non-targeted metabolomics approach.
RESULTS
Inflammatory markers, including 4E-BP1 (P = 9.60
CONCLUSIONS
We show that QFS and CFS patients are similar across three different omics layers and 4E-BP1 and MMP-1 have the potential to distinguish QFS and CFS patients from HC.
Identifiants
pubmed: 33243243
doi: 10.1186/s12967-020-02585-5
pii: 10.1186/s12967-020-02585-5
pmc: PMC7690002
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
448Subventions
Organisme : Innovatiefonds Zorgverzekeraars
ID : Microbioom van QVS
Pays : International
Organisme : H2020 European Research Council
ID : 833247
Pays : International
Organisme : Scientific Institute for Quality of Healthcare, Radboud Universitair Medisch Centrum
ID : Hypatia Tenure Track Grant
Pays : International
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