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  1. forestglip

    EBV induces CNS homing of B cells attracting inflammatory T cells 2025 Laderach et al.

    That's interesting. The story from the other study is so nice though. Plenty of antibodies to other pathogens in CSF, but barely any to EBV, might suggest that primarily EBV-infected cells (that can't make EBV antibodies) are getting in. (Also Jonathan said B cells that make EBV antibodies...
  2. forestglip

    ME/CFS Music

    Madelleine Müller - I Cant Run When I'm Dreaming (lyric video)
  3. forestglip

    EBV induces CNS homing of B cells attracting inflammatory T cells 2025 Laderach et al.

    Ok thanks that makes sense. Maybe still tough to squeeze through the tiles, but with millions of problematic B cells stopping, a few might make it through by chance. Five times bigger! I was imagining like 20% bigger.
  4. forestglip

    EBV induces CNS homing of B cells attracting inflammatory T cells 2025 Laderach et al.

    Oh I was talking about MS where there's more reason to believe we'd actually find these B cells. Maybe something to look at in ME/CFS too though just in case.
  5. forestglip

    EBV induces CNS homing of B cells attracting inflammatory T cells 2025 Laderach et al.

    I'm having trouble picturing how being bigger could make it easier to cross the BBB. Yep, that's the thread I linked.
  6. forestglip

    EBV induces CNS homing of B cells attracting inflammatory T cells 2025 Laderach et al.

    I remember another thread with discussion about it being EBV infected B cells going into the brain and causing trouble. Would it not be trivial to look at the brain B cells post mortem to see if they all have EBV inside? Is it harder than I'm thinking to even find the B cells?
  7. forestglip

    Genome-Epigenome Interactions Associated with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome, Herrera et al, 2018

    The main SNP here doesn't appear to be significant in the DecodeME data unfortunately. Data from DecodeME summary statistics. Converted rsID from this study to chromosome position ID using gnomAD. All DecodeME cases (p=.257) Females only, the way it was significant in this study (p=.428):
  8. forestglip

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

    You got it. If they are hypothesizing about specific genes, they only have to adjust the p-value threshold for as many of these that they are interested in. They can even do a full GWAS on everything, strictly adjusting based on trying to find associations anywhere in the genome, and also do a...
  9. forestglip

    Trial Report Plasma cell targeting with the anti-CD38 antibody daratumumab in ME/CFS -a clinical pilot study, 2025, Fluge et al

    I don't see any individual level data for illness duration in the study. Just a mean and range in Table 1. And I don't see anything about NK relationship to duration. Maybe it's from a talk?
  10. forestglip

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

    It's a risk though. There might only have been significant hits just on the cusp of the threshold with the full sample. Reducing the sample size could lead to losing those findings. It might be better to put all the power possible in it while we've got it, and let the replication happen later.
  11. forestglip

    Genetics: OLFM4

    Why do you refer to something like this as anti-inflammatory? You'd refer to something like TNF as inflammatory, right? In what way is this the opposite? It sounds like it's associated with neutrophils doing inflammation stuff. (Not that we know if the mutation increases or decreases whatever it...
  12. forestglip

    Trial Report Plasma cell targeting with the anti-CD38 antibody daratumumab in ME/CFS -a clinical pilot study, 2025, Fluge et al

    Yep, here you go: I made it, but I'm not sure how useful this is because many participants are missing NK cell data at various timepoints. So some will include more later testing and some will include more testing in the middle of the trial.
  13. forestglip

    Trial Report Plasma cell targeting with the anti-CD38 antibody daratumumab in ME/CFS -a clinical pilot study, 2025, Fluge et al

    Good idea to look at change in steps vs baseline NK count. I made a chart with the data from the supplementary files, keeping the same clinical improvement color label they use. Diff steps is the change in daily steps from the very start of the study to the very end. (I also flipped the axes...
  14. forestglip

    Genetics: HLA-DQA*05:01

    Yes, the same two alleles that were risk alleles for ME/CFS in this other study: Human Leukocyte Antigen alleles associated with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS): Fluge, Mella et al 2020 I feel like I must be missing something, because why was there never much...
  15. forestglip

    Genetics: HLA-DQA*05:01

    Maybe. In theory this could mean people with ME/CFS have other HLA alleles that are good at presenting junk. But HLA alleles are different from regular DNA since there are very many possible HLA alleles, plus each person has several different alleles. So not having this gene doesn't necessarily...
  16. forestglip

    Genetics: HLA-DQA*05:01

    Are you referring to a different gene in the main part of the study? This HLA part was looked at separately and they found another protective gene here (though they say they'll need to verify the association is correct).
  17. forestglip

    Genetics: HLA-DQA*05:01

    Yeah, that could be good. They just have EBV, COVID, or other (columns are females, males, total, and total percent)
  18. forestglip

    Genetics: HLA-DQA*05:01

    Well this specific allele from the study seems to protect against getting ME/CFS, which I don't think would fit with that. Maybe it's more like it's good at presenting a specific virus to T cells that is a common cause of ME/CFS and this fights the infection more quickly?
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