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  1. ME/CFS Science Blog

    Immunological Patient Stratification in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome 2024 Rohrhofer et al

    Thanks for highlighting this. ECP = eosinophil cationic protein EDN = eosinophil-derived neurotoxin So these are eosinophil proteins that they assume would also be increased in case of chronic mast cell activation.
  2. ME/CFS Science Blog

    The buspirone challenge test clearly distinguishes ME/CFS patients from healthy controls: why is it not being developed and deployed?

    Impressive work @forestglip, thanks for digging into this! Small suggestion for your summary: it would be useful to have a table of the ME/CFS studies with the number of participants they used (male/female), the type stimulant and dosage used and possibly info about the effect size.
  3. ME/CFS Science Blog

    Genetics: Chromosome 6 BTN2A2 and BTN3A3 (BTN2A1)

    DecodeME top SNP rs9358913 chr6:26239404 (GRCh37) p = 4.11e-09 Anxiety top SNP rs58825580 chr6:26365679 (GRCh37) [ = 1.02e-14
  4. ME/CFS Science Blog

    Genetics: Chromosome 6 BTN2A2 and BTN3A3 (BTN2A1)

    I checked if the DecodeME signal around BTN2A1 colocalizes with that in this GWAS on anxiety Genome-wide association study of major anxiety disorders in 122,341 European-ancestry cases identifies 58 loci and highlights GABAergic signaling - PMC My (amateur) analysis suggests there's a real...
  5. ME/CFS Science Blog

    Transforming biomedical uncertainty: the sociohistorical origins of myalgic encephalomyelitis (ME) and chronic fatigue syndrome (CFS), 2026, Cross

    I'm not entirely sure that she takes this position. She seems to criticize both psychosomatic and biomedical approaches, although I only skimmed the article. Some sections from the discussion section: .... The article discusses the origin of ME and CFS and subsequent discussions about it...
  6. ME/CFS Science Blog

    SynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapse, 2019, Koopmans et al.

    One idea to study this further is to use PET scans with tracers such as [11C]-UCB-J or [18F]SynVesT-1 that measure synaptic density. It would be interesting to see whether, e.g., this is increased or reduced in various brain areas such as the striatum and hypothalamus. These are tracers that...
  7. ME/CFS Science Blog

    Preprint Experimental hypoxia to probe neuro-metabolic and vascular dysregulation in ME/CFS: a multimodal proof-of-concept MRI study, 2026, Bader et al.

    This looks like an interesting study and design, but from what I can tell, the hypoxia didn't really make a clear difference in the results. The main finding was increased lactate, which was also present before the hypoxia and is consistent with previous findings. As the authors write:
  8. ME/CFS Science Blog

    The genetic architecture of fibromyalgia across 2.5 million individuals, 2026, Kerrebijn et al

    This was available from BigaGWAS, a big database of traits that automatically checks correlations with lots of traits from UK biobank and other sources. I also checked the latest migraine GWAS, which I think is Hautakangas et al. 2022. The 23andMe data isn't available, but those from the UK...
  9. ME/CFS Science Blog

    Preprint Initial findings from the DecodeME genome-wide association study of myalgic encephalomyelitis/chronic fatigue syndrome, 2025, DecodeMe Collaboration

    Thanks! My guess is that genomic control (GC corrected) refers to dividing by the genomic inflation factor: the ratio of your median chi square value by 0.4549 (what the median chi square value would be under the null with no bias). This was an (older) approach intended to control for...
  10. ME/CFS Science Blog

    Preprint Initial findings from the DecodeME genome-wide association study of myalgic encephalomyelitis/chronic fatigue syndrome, 2025, DecodeMe Collaboration

    Was wondering if there's an explanation for why the LDSC intercept for DecodeME is below 1. Higher than 1 is usually seen as a sign of bias such as population stratification but below 1 is less clear. Could it mean that part of the true signal was taken away by the principal components?
  11. ME/CFS Science Blog

    The genetic architecture of fibromyalgia across 2.5 million individuals, 2026, Kerrebijn et al

    The DecodeME team could test this, would be an analysis worth doing. I'm not an expert but think an rg of 0.75 is quite big and probably not fully explained by the 30% of ME/CFS cases that also had fibromyalgia.
  12. ME/CFS Science Blog

    The genetic architecture of fibromyalgia across 2.5 million individuals, 2026, Kerrebijn et al

    Perhaps others can double-check but I calculated the genetic correlation with DecodeME and the European-only GWAS of fibromyalgia from this study using LDSC and I got a value of rg = 0.757. That's quite high and similar to the rg = 0.751 between DecodeME and self-reported irritable bowel...
  13. ME/CFS Science Blog

    Virus reactivation in acute and long COVID-19, 2026, Maguire et al

    I think the relationship between viral reactivation and Long Covid was mostly negative. It's only during the convalescent period that they found an association between Anelloviridae transcripts and one of four subgroup of Long Covid, those with a high score on the "Measurement Information...
  14. ME/CFS Science Blog

    DISCOVERY LOOP: new start-up by Google engineers plan to use AI to automate scientific discovery

    From their website: https://www.discoveryloop.com/ Includes a lot of big names from Google. Hope it will help to accelerate scientific research. Here's the announcement on Twitter:
  15. ME/CFS Science Blog

    A pipeline for the discovery of causal variants in Mendelian ME/CFS, 2026, Maccallini

    Two aunts and an uncle were also tested, presumable with the idea that rare mutations that also appear in family are unlikely to be damaging ones related to ME/CFS?
  16. ME/CFS Science Blog

    A pipeline for the discovery of causal variants in Mendelian ME/CFS, 2026, Maccallini

    Much of this paper and the tools used are too complex for me. But it looks like an attempt at finding a rare mutation that might explain ME/CFS in a single patient. Whole genome sequencing was performed by DanteLabs, and then various quality controls and filters were used to help identify rare...
  17. ME/CFS Science Blog

    A pipeline for the discovery of causal variants in Mendelian ME/CFS, 2026, Maccallini

    A pipeline for the discovery of causal variants in Mendelian ME/CFS Paolo Maccallini Identifying causal variants in suspected Mendelian disorders remains challenging when whole-genome sequencing reveals numerous rare candidates but no obvious molecular diagnosis. We developed PerGen, a pipeline...
  18. ME/CFS Science Blog

    Virus reactivation in acute and long COVID-19, 2026, Maguire et al

    Anelloviruses came up in the Lipkin study of viruses in ME/CFS although patients had lower levels of anelloviruses instead of increased levels as in this COVID-study. A multicenter virome analysis of blood, feces, and saliva in myalgic encephalomyelitis/chronic fatigue syndrome - Briese - 2023 -...
  19. ME/CFS Science Blog

    SynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapse, 2019, Koopmans et al.

    We can also have a look at the genes inside the categories and the p-values MAGMA assigned them based on their association with ME/CFS. For the top category "synapse adhesion between pre- and post-synapse (GO:0099560)" the top genes were NRXN1 (neurexin-1) and NLGN1 (neuroligin-1) as well as...
  20. ME/CFS Science Blog

    SynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapse, 2019, Koopmans et al.

    Methods I’ve downloaded the data version 1.3 here: https://syngoportal.org/download It includes 3 excel files. The ontologies.xlsx file has the name of the categories and the genes in it. To work with MAGMA, I created a file that has the name for each ontology, then all the gene ensemble IDs on...
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