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  1. forestglip

    Multi-omics identifies lipid accumulation in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome cell lines: a case-control study, 2026, Missailidis et

    So they used a tool to identify pathways of interest based on levels of lipids in this cohort. The tool gives genes associated with the pathways as well. The tool gave 25 genes that they could check the expression of using their previous RNA data, which I think was from the same cohort. 8 of...
  2. forestglip

    Evaluating working memory functioning in individuals with myalgic encephalomyelitis/chronic fatigue syndrome: a systematic review and meta-analysis, 2

    Evaluating working memory functioning in individuals with myalgic encephalomyelitis/chronic fatigue syndrome: a systematic review and meta-analysis Penson, Maddison; Kelly, Kate [Line breaks added] Abstract Individuals with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS)...
  3. forestglip

    Development and validation of blood-based diagnostic biomarkers for [ME/CFS] using EpiSwitch®… 2025, Hunter et al. (Oxford Biodynamics)

    From the letter to the editor, with bolding added: It's interesting that the authors think the most notable issue in a paper about developing a diagnostic test is that they didn't discuss alternative treatments. And for the only example of such a treatment that they give, the only references...
  4. forestglip

    Large-scale investigation confirms TRPM3 ion channel dysfunction in ME/CFS, 2025, Marshall-Gradisnik et al

    Here's another resource explaining pseudoreplication, and they say it's likely usually researchers just being unaware it's an issue: https://cambiotraining.github.io/stats-mixed-effects-models/materials/03-independence-psuedoreplication.html
  5. forestglip

    Large-scale investigation confirms TRPM3 ion channel dysfunction in ME/CFS, 2025, Marshall-Gradisnik et al

    Like another study from this group that was posted here, it looks like the p-values are artificially low due to pseudoreplication. I'll just quote the last time I said it, since it's the same issue, just with the sample size changed:
  6. forestglip

    Development and validation of blood-based diagnostic biomarkers for [ME/CFS] using EpiSwitch®… 2025, Hunter et al. (Oxford Biodynamics)

    The paragraph of interest: Affiliation of one of the authors: It looks like this organization has paid courses about oxygen-ozone therapy (auto-translated link). The program (archived link) says "SIOOT/ASOO member fee: €180,00 - Non-members: €230,00" (translated from Italian). The above...
  7. forestglip

    Human deep sleep facilitates cerebrospinal fluid dynamics linked to spontaneous brain oscillations and neural events, 2025, Uji et al

    Now published: Human deep sleep facilitates cerebrospinal fluid dynamics linked to spontaneous brain oscillations and neural events [Line breaks added] Abstract How sleep maintains our healthy brain function has remained one of the biggest mysteries in neuroscience, medical settings, and...
  8. forestglip

    Thesis A Psychobiological Approach to Gulf War Illness: Acute Exercise & DNA Methylation, 2025, Boruch

    A Psychobiological Approach to Gulf War Illness: Acute Exercise & DNA Methylation Alexander E. Boruch Thesis advisor: Dane B. Cook [Line breaks added] Background Gulf War Illness (GWI) is a form of chronic multi-symptom illness characterized by medically unexplained and heterogenous symptoms...
  9. forestglip

    Ideological bias in the production of research findings, 2026, Borjas et al

    Ideological bias in the production of research findings Borjas, George J.; Breznau, Nate [Line breaks added] Abstract When studying policy-relevant topics, researchers’ policy preferences may shape analytical decisions and results interpretations. Detecting this bias is challenging because...
  10. forestglip

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

    So it turns out there's already a new version of the preprint that updated this sentence to say CSE1L instead of OLFM4. It seems that something is wrong with the MedRxiv website, because it's not showing the "New Version Available" alert when I look at version 1. [Edit: They fixed the website.]...
  11. forestglip

    Comparison of Diagnostic Criteria - discussion thread

    You're right. I don't see any direct mentions of any specific criteria, except listed at the bottom as references. Maybe it'd be good to include something about specific existing criteria. It might be helpful for people who are curious if their symptoms align with a more "official" source.
  12. forestglip

    Comparison of Diagnostic Criteria - discussion thread

    There are several criteria currently in use. I'm not totally sure what "consensus" criteria specifically means. Fukuda (CDC 1994) Canadian Consensus Criteria (CCC 2003) International Consensus Criteria (ICC 2011) Institute of Medicine (IOM 2015) National Institute for Health and Care Excellence...
  13. forestglip

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

    I think they named the wrong gene. OLFM4 isn't one of the 259 core genes in this paper's Extended Table 3, as far as I can tell. On the other hand, CSE1L is a DecodeME tier 1 gene that is one of this study's core genes. And while DCC is one of the PrecisionLife core genes, it wasn't a tier 1 or...
  14. forestglip

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

    I thought more about it, and came to the conclusion that this might be an inaccurate interpretation. Maybe it does add some confidence about the loci - seeing them come up again with a totally different method.
  15. forestglip

    Understanding Statistics

    Basically, the point of the above paper is, a change in one group being significant while a change in another is not does not mean that the difference between the groups is statistically significant. As an extreme example to illustrate the point, one can imagine a group of 500 people receiving...
  16. forestglip

    Understanding Statistics

    The Difference Between “Significant” and “Not Significant” is not Itself Statistically Significant Gelman, Andrew; Stern, Hal Web | DOI | PDF | The American Statistician
  17. forestglip

    Preprint Percutaneous Auricular Nerve Stimulation for Treating Post-COVID Fatigue (PAuSing-pCF), 2026, Germann et al

    I read further and they literally say the same thing, except in explaining why the placebo group didn't improve when they were crossed over to get the intervention: So the active group significantly improved but the placebo group didn't in the first part - apparently evidence the intervention...
  18. forestglip

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

    In the sense that they found significant SNPs in the same 8 areas, sure. But since it's not really new data, I'd say that the replication mainly adds confidence about their method being reliable (and thus potentially having more confidence in the other findings), rather than adding much...
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