Search results for query: migraine

  1. M

    Discriminating Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and comorbid conditions using metabolomics in UK Biobank, 2024, Huang et al

    Yes that's what it's saying. We reduced the shared comorbidities down as far as we could before the number of patients were dramatically impacting the power. We'd have liked to go to 0 but then we wouldn't have enough data, so we did sensitivity analysis and pleiotropy analysis. No not unless...
  2. forestglip

    Discriminating Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and comorbid conditions using metabolomics in UK Biobank, 2024, Huang et al

    ...or other conditions? I guess the concern could be put simply, as I stated above: if the study was redone with other conditions, such as migraine or asthma, replacing the ME/CFS group as the "heterogenous" condition, would we see increased triglycerides, glucose, cholesterol, etc, in these...
  3. forestglip

    Preprint Insights into Pathophysiological Pathways in ME/CFS Through Genetic Correlation and Mendelian Randomization, 2026, Wielscher et al

    I recently was interested in migraine because I found a large correlation using Google Trends scores, showing that [edit: US] states that search more for "chronic fatigue syndrome" tend to also search more for "migraine" and "migraine aura". I previously also did genetic correlations using...
  4. M

    Discriminating Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and comorbid conditions using metabolomics in UK Biobank, 2024, Huang et al

    So like the NIH study? The issue with that is that comorbidity seem to be part of the illness. In fact number of comorbidities was a useful marker of me/cfs against other diseases. We didn't include it in our scores though. The point of this study was to see if we could take the most common...
  5. forestglip

    Preprint Insights into Pathophysiological Pathways in ME/CFS Through Genetic Correlation and Mendelian Randomization, 2026, Wielscher et al

    ...cellular energetics, neurovascular regulation, and barrier–microbiome function showed the strongest genetic overlap with ME/CFS, with migraine and irritable bowel syndrome contributing most to shared pleiotropy. Immunothrombotic related and inflammatory traits showed smaller but measurable...
  6. Trish

    The ME Association Clinical Assessment Toolkit (ME-CAT) and app (autonom-e)

    ...sleeping during the day) Pain Musculo-skeletal symptoms. (e.g. weakness, stiffness, clumsiness) Neurological symptoms (e.g. headaches, migraine, sensitivities to sound, light etc, altered sensation, tinnitus) Digestive symptoms (e.g. nausea, stomach pain, bloating) Heart, lungs and...
  7. Trish

    Discriminating Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and comorbid conditions using metabolomics in UK Biobank, 2024, Huang et al

    ...of these data sets is to be useful for identifying ME/CFS specific biomarkers, the direct comparison needs to be between people with, say, migraine alone, and people with ME/CFS and migraine and no other diagnosed condition. Or for combined conditions, you need to compare, say, people with...
  8. SNT Gatchaman

    The relationship between nonrestorative sleep and persistent post-acute sequelae of COVID-19: a longitudinal study…, 2026, Hazumi+

    I don't think it's occurred to them that non-restorative sleep is the result of PASC. No mention or reference of ME/CFS. I'd love to know what the interventions targeting non-restorative sleep might be. "You're sleeping it wrong" I guess.
  9. Hutan

    Discriminating Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and comorbid conditions using metabolomics in UK Biobank, 2024, Huang et al

    ...of people used as comparator groups in this paper (also Table 2) Hypertension 9.7% Depression 0.7% Asthma 0.9% IBS 0.5% Hypothyroidism 0.6% Migraine 1.7% No health conditions (C2) 0.8% Can you see how highly selected the comparison groups are? By not allowing people in the comparator groups...
  10. Hutan

    Discriminating Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and comorbid conditions using metabolomics in UK Biobank, 2024, Huang et al

    Ok, on the issue of the comparison with the hypertension group: First, Figure 1 has nothing to do with the hypertension group. The issues of comparing the ME/CFS group with a highly selected cohort with no diseases at all remain regardless of the comparison with the hypertension group...
  11. M

    Discriminating Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and comorbid conditions using metabolomics in UK Biobank, 2024, Huang et al

    ...Without a single shared healthy reference, you couldn’t directly compare “how strong is this VLDL signal in ME/CFS vs hypertension vs migraine?” All effect sizes and directions become comparable on the same scale. The individual biomarker associations (vs healthy) establish the biological...
  12. forestglip

    A crumb of a clue on epidemiology

    For migraine, the very high correlation I saw with "chronic fatigue syndrome" was with the search term "migraine aura". "Migraine symptoms" is also high, just not as high. In terms of sex bias, Wikipedia says that migraine without aura is where there is a significantly larger risk in females...
  13. forestglip

    A crumb of a clue on epidemiology

    ...I controlled for proportion of a state that is white when predicting ME/CFS searches ("Topic" version) using either English proportion or "migraine aura" searches. Previously when I correlated ME/CFS searches against all the variables from Correlates of State Policy, one of the largest...
  14. forestglip

    A crumb of a clue on epidemiology

    Should we be thinking more about migraines? Autoimmune disease is often discussed as also having a similar sex bias to ME/CFS. But migraine fits that picture as well, and does not really seem to be in the same category as autoimmunity. The large scale correlation search with other trends scores...
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