ArticleScientific reports2020
Assessing diagnostic value of microRNAs from peripheral blood mononuclear cells and extracellular vesicles in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.
- Recent research in myalgic encephalomyelitis/chronic fatigue syndrome: an evidence map.Health technology assessment (Winchester, England) · 2025Pooled it
- Biomarkers for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS): a systematic review.BMC medicine · 2023Pooled it
- Exploring differences in protein cargo of extracellular vesicles from ME/CFS patient plasma compared to healthy controls.Biochemistry and biophysics reports · 2026Article
- Plasma Micro-RNA Signatures of Type 1 Ryanodine Receptor Related Myopathies.bioRxiv : the preprint server for biology · 2026Article
- Article
- Protocol for large-scale, high-yield, high-purity extracellular vesicle purification from human plasma.STAR protocols · 2026Article
- Extracellular Vesicle Protein and MiRNA Signatures as Biomarkers for Post-Infectious ME/CFS Patients.International journal of molecular sciences · 2026Article
- The Molecular Dynamics of Extracellular Vesicles and their Protein Corona in the Secretomes of Stem Cells.Stem cell reviews and reports · 2025Review
- Extracellular vesicle proteomics uncovers energy metabolism, complement system, and endoplasmic reticulum stress response dysregulation postexercise in males with myalgic encephalomyelitis/chronic fatigue syndrome.Clinical and translational medicine · 2025Article
- The search for a blood-based biomarker for Myalgic Encephalomyelitis/ Chronic Fatigue Syndrome (ME/CFS): from biochemistry to electrophysiology.Journal of translational medicine · 2025Review
- Mitochondrial Measures in Primary Cells Isolated from Patients with ME/CFS.Methods in molecular biology (Clifton, N.J.) · 2025Article
- MicroRNA Profiling of Blood Extracellular Vesicles in ME/CFS.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Genotype Characterization and MiRNA Expression Profiling in Usher Syndrome Cell Lines.International journal of molecular sciences · 2024Article
- Identifying microRNAs Possibly Implicated in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Fibromyalgia: A Review.International journal of molecular sciences · 2024Review
- Dysregulation of extracellular vesicle protein cargo in female myalgic encephalomyelitis/chronic fatigue syndrome cases and sedentary controls in response to maximal exercise.Journal of extracellular vesicles · 2024Article
- Article
- Circulating miRNAs Expression in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.International journal of molecular sciences · 2023Article
- Heterogenous circulating miRNA changes in ME/CFS converge on a unified cluster of target genes: A computational analysis.PloS one · 2023Article
- Circulating miRNA-19b as a biomarker of disease progression and treatment response to baricitinib in rheumatoid arthritis patients through miRNA profiling of monocytes.Frontiers in immunology · 2023Article
- MicroRNA profiling of low concentration extracellular vesicle RNA utilizing NanoString nCounter technology.Journal of extracellular biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a debilitating multisystemic disease of unknown etiology, affecting thousands of individuals worldwide. Its diagnosis still relies on ruling out medical problems leading to unexplained fatigue due to a complete lack of disease-specific biomarkers. Our group and others have explored the potential value of microRNA profiles (miRNomes) as diagnostic tools for this disease. However, heterogeneity of participants, low numbers, the variety of samples assayed, and other pre-analytical variables, have hampered the identification of disease-associated miRNomes. In this study, our team has evaluated, for the first time, ME/CFS miRNomes in peripheral blood mononuclear cells (PBMCs) and extracellular vesicles (EVs) from severely ill patients recruited at the monographic UK ME biobank to assess, using standard operating procedures (SOPs), blood fractions with optimal diagnostic power for a rapid translation of a miR-based diagnostic method into the clinic. Our results show that routine creatine kinase (CK) blood values, plasma EVs physical characteristics (including counts, size and zeta-potential), and a limited number of differentially expressed PBMC and EV miRNAs appear significantly associated with severe ME/CFS (p < 0.05). Gene enrichment analysis points to epigenetic and neuroimmune dysregulated pathways, in agreement with previous reports. Population validation by a cost-effective approach limited to these few potentially discriminating variables is granted.
Indexed as
Identifiers
What OpenQuestion holds
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.