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  1. ME/CFS Science Blog

    Oliver Sacks Put Himself Into His Case Studies. What Was the Cost?

    Yeah, not really a surprise, the way he romanticized his descriptions and case studies, things that were hard to confirm by others, it already gave the impression that there were many embellishments.
  2. ME/CFS Science Blog

    Exaggerated IFN-I Response in Long COVID PBMCs Following Exposure to Viral Mimics, 2025, Humer et al

    The researchers have a Dutch grant for ME/CFS research: https://www.zonmw.nl/nl/artikel/blog-een-behandeling-op-maat-met-immuunhandtekeningen-voor-mecvs Don't quite understand why this also showed an interferon difference between groups, given that it was mainly meant as a control condition.
  3. ME/CFS Science Blog

    Machine Learning-assisted Research on ME/CFS

    Not really, because the co-occurrence of concepts is probably based on the text of the manuscript, not on the actual data. Suppose that several studies found a slight increase in metabolite X, but do not mention it anywhere in their paper, it's only visible in the supplementary data: would the...
  4. ME/CFS Science Blog

    Running FLAMES on DecodeME data

    Not far, think I didn't manage to do the FINEMAP.
  5. ME/CFS Science Blog

    Comparable Immune Alterations and Inflammatory Signatures in ME/CFS and Long COVID, 2025, Petrov et al

    The statistical tests used age as a covariate, but suspect that the data points shown do not take this into account. The HC group had a mean age of 31, and the LC group of 51. They also don't give much info about how the patients were selected. Suspect the study was done on patients in...
  6. ME/CFS Science Blog

    Managing chronic fatigue conditions with overlapping symptoms, and the health policies and social services supporting those affected, 2025, Tate et al

    This isn't the first time that we've seen questionable papers from this group. See: Comparing DNA Methylation Landscapes in Peripheral Blood from [ME/CFS] and Long COVID Patients, 2025, Peppercorn et al | Page 4 | Science for ME
  7. ME/CFS Science Blog

    Machine Learning-assisted Research on ME/CFS

    The raw data of the experiments, for example, in CSV format. A big problem I see is that almost all studies misrepresent their data in the abstract and text (to make it look like a bigger deal than it is or to promote the authors' favoured theory). So I think machine learning/AI/network...
  8. ME/CFS Science Blog

    Persistent Attenuation of Lymphocyte Subsets After Mass SARS-CoV-2 Infection, 2025, Jiang et al

    Seems like a useful commentary. If I understand correctly: - The groups are independent; this wasn't a longitudinal study following the same people over time - Although there were differences between groups, they were relatively modest and still within normal limits - The difference might be...
  9. ME/CFS Science Blog

    Running FLAMES on DecodeME data

    Thanks for trying this. I gave up because my coding skills are rather amateurish. There was also the issue that I wouldn't be entirely sure if it worked or if I had misapplied it somehow. I was hoping that either researchers would use this in future publications (e.g. the official DecodeME...
  10. ME/CFS Science Blog

    Machine Learning-assisted Research on ME/CFS

    Thanks. If I understand correctly, though, your network analysis is based on mentions in abstracts and the text of a publication and not on the actual data of studies?
  11. ME/CFS Science Blog

    Sickness behaviour – useful concept or psycho-humbug?

    Was curious what would happen if ME/CFS patients got interferon treatment. Would it make their fatigue/malaise even worse, would it have less effect, or, if this pathway is involved in ME/CFS pathology, might it help correct it or induce inhibitory pathways? Found this 1993 report on...
  12. ME/CFS Science Blog

    Who is Simon Wessely?

    Yes would be interested. Had plans to write blog posts about the history of ME/CFS (there seems to be a lot of myths about it), but never got to it. Perhaps somewhere in the future.
  13. ME/CFS Science Blog

    Exploring a genetic basis for the metabolic perturbations in ME/CFS using UK Biobank, 2025, Armstrong et al

    Looks like a complex analysis that must have been lots of work (kudos to the authors)! But I have my doubts about how relevant the results are. In my view, it's mainly the comparison with controls that matters, while this study seems to have focused on correlations with SNPs and metabolites...
  14. ME/CFS Science Blog

    Preprint Identification of Novel Reproducible Combinatorial Genetic Risk Factors for [ME] in [DecodeME Cohort] and Commonalities with [LC], 2025, Sardell+

    I suppose their combinatorial analysis can be useful to get new or clearer findings, but in this case, it seems to have made things more complicated and muddled. Their disease signatures map to 2,311 genes, while humans only have approximately 20.000-25.000 protein-coding genes.
  15. ME/CFS Science Blog

    Hypothesis Glymphatic System Dysregulation as a Key Contributor to Myalgic Encephalomyelitis/Chronic Fatigue Syndrome, 2025, Nemat-Gorgani et al

    The paper writes: But on X someone commented: "There is already a known autoimmune disease of the CNS, where autoantibodies directed against AQP4 its named Neuro Myelitis Optica (NMO) The autoantibodies were discovered in 2006/07." "The AQP4 autoantibodies causes extensive and severe...
  16. ME/CFS Science Blog

    Sickness behaviour – useful concept or psycho-humbug?

    Yes, so these are probably too important to be defective in ME/CFS; otherwise, we would see other abnormalities in patients. So it should likely be something more specific to this pathway that is defective in ME/CFS, and if DecodeME results are to be believed, might be more on the brain than...
  17. ME/CFS Science Blog

    Sickness behaviour – useful concept or psycho-humbug?

    Yes, that's also the explanation I was thinking of: that the sickness behavior pathway involves proteins that are too important elsewhere in the body, so that mutations aren't viable. But that begs the question of why we don't see clear immune dysfunction elsewhere in ME/CFS and why DecodeME...
  18. ME/CFS Science Blog

    Which cognitive-behavioural factors play a role in the reduction of post-COVID-19 fatigue following [CBT] and care as usual?... 2025 Kuut, Knoop et al

    These seem like the main results: Self-reported activity was the strongest predictor but there was no relationship between objectively measured activity and fatigue changes: Some also suspect that the effect can be explained by people with depression improving with CBT, but not LC. This also...
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