ArticleJournal of translational medicine2020
Multi-omics examination of Q fever fatigue syndrome identifies similarities with chronic fatigue syndrome.
Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Recent research in myalgic encephalomyelitis/chronic fatigue syndrome: an evidence map.Health technology assessment (Winchester, England) · 2025Pooled it
- Health-related quality of life changes in patients with Q-fever fatigue syndrome: a four-year follow-up study, 10 years post-infection.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Observational
- The protective effect of probiotic/prebiotic consumption against fatigue in the general population is modulated by BMI: an analysis of mediating and moderating effects based on NHANES.European journal of medical research · 2025Article
- AI-driven multi-omics modeling of myalgic encephalomyelitis/chronic fatigue syndrome.Nature medicine · 2025Article
- Article
- The microbiota-gut-brain axis in myalgic encephalomyelitis/chronic fatigue syndrome: a narrative review of an emerging field.European journal of translational myology · 2025Article
- BioMapAI: Artificial Intelligence Multi-Omics Modeling of Myalgic Encephalomyelitis / Chronic Fatigue Syndrome.bioRxiv : the preprint server for biology · 2025Article
- Characterization of the salivary microbiome in healthy individuals under fatigue status.Frontiers in cellular and infection microbiology · 2025Article
- Mitochondrial dysfunction in long COVID: mechanisms, consequences, and potential therapeutic approaches.GeroScience · 2024Review
- Identification of lncRNA-miRNA-mRNA Networks in the Lenticular Nucleus Region of the Brain Contributes to Hepatolenticular Degeneration Pathogenesis and Therapy.Molecular neurobiology · 2024Article
- Metabolomics meets systems immunology.EMBO reports · 2023Review
- Causal Effects between Gut Microbiome and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: A Two-Sample Mendelian Randomization Study.Frontiers in microbiology · 2023Article
- Genetic risk factors for ME/CFS identified using combinatorial analysis.Journal of translational medicine · 2022Article
- Systemic antibody responses against human microbiota flagellins are overrepresented in chronic fatigue syndrome patients.Science advances · 2022Article
- The Occurrence of Hyperactivated Platelets and Fibrinaloid Microclots in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS).Pharmaceuticals (Basel, Switzerland) · 2022Article
- Targeted proteomics identifies circulating biomarkers associated with active COVID-19 and post-COVID-19.Frontiers in immunology · 2022Article
- mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites.Journal of translational medicine · 2021Article
- The Emerging Role of Gut Microbiota in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS): Current Evidence and Potential Therapeutic Applications.Journal of clinical medicine · 2021Review
- Severe Fatigue and Memory Impairment Are Associated with Lower Serum Level of Anti-SARS-CoV-2 Antibodies in Patients with Post-COVID Symptoms.Journal of clinical medicine · 2021Article
- Fatigue Is Common in Immunoglobulin G Subclass Deficiency and Correlates With Inflammatory Response and Need for Immunoglobulin Replacement Therapy.Frontiers in immunology · 2021Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundQ 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).
methodsThe 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.
resultsInflammatory markers, including 4E-BP1 (P = 9.60
conclusionsWe 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.