There were some mentions of butyrate in the NIH deep phenotyping study, and in the symposium about the study:
ME/CFS Symposium – May 2, 2024
Figure S20D from the study's supplementary info seems to be about the specific bacteria in the gut. It looks like increases and decreases of many...
Yeah, my assumption of how well it would match severity was not based on much data. Just some anecdotes on the forum and knowing that severe/very severe people are known for spending virtually all time lying down. And for myself as probably moderate, I spend most of the time lying down, but I...
The Association of Long COVID and CKD: Findings from the National Clinical Cohort Collaborative (N3C)
Anzalone, A. Jerrod1; Krichevsky, Spencer2; Yoo, Yun Jae3; Wilkins, Kenneth J.4; Alakwaa, Fadhl5; Liu, Feifan6; Sakhuja, Ankit7; Saltz, Joel H.8; Han, Yun9; Zhu, Richard L.10; Setoguchi...
I think this might be backwards from what I said. Since lying down includes sleeping, I thought it'd be too much math to try to add up time spent lying down while sleeping plus throughout the day. So instead it's time spent not lying down.
So if you are mostly up from when you wake up at 8 AM...
I think most people could estimate hours upright to within about 2 hours. For step count, I personally have almost zero idea how many exact steps I walk. Whenever I try a tracker, I'm surprised by how many steps there are in a short walk around the house.
I wonder if a question about hours of time lying down would be good for future studies. I think either time lying down or step count might be the best indicators of severity we currently have (though step count is probably too difficult for people to estimate without using a tracker).
Since the...
Here are all the items (only from UK Biobank analysis) which contain the text "depres" and which were Bonferroni significantly correlated with ME/CFS, with links to descriptions of the items, in order of correlation with highest at the top. The last item is negatively correlated.
The most...
If you consider that the prevalence of ME/CFS is far lower than depression, then most people in the depression studies wouldn't have ME/CFS. My sense is that it'd be difficult to get such high correlations based on people in the depression studies having ME/CFS if only a small portion of the...
"Great, maybe people with ME/CFS have a genetic predisposition to unhelpful beliefs. Unfortunately, none of the treatments you have suggested have worked, so lets examine the specific mechanisms through which these genes cause ME/CFS. The genetics seem to be pointing to people with ME/CFS having...
Yes, just sorted by p-value. (And that enormously significant correlation with depression does come from comparing to a study with an enormous sample size: 371,184 depression cases)
Good idea to look at top correlations. I wonder what that milk one is about. Just under your significance...
The only result I see of these from a search of the words is multiple sclerosis in UK BioBank and it doesn't look to be significant. (Also all results from all tested traits are in the attached files if you want to explore.)
From UK BioBank:
Multiple Sclerosis:
Diagnoses - main ICD10: G35...
I've now run this tool on a few different datasets using LDSC to find genetic correlations between ME/CFS and other traits. I'll attach all results for download and just mention some specific correlations.
Wikipedia:
First I ran it on the dataset "PGC (Psychiatric Genomics Consortium) and...
The above was the 10th most significant locus in the main GWAS (though its p-value of 1.19e-7 didn't pass the genome-wide threshold). NEGR1 appears to be the closest gene. Lead variant: 1:73,126,414:C:CA
There appears to be evidence linking NEGR1 to depression. Link to PubMed search for...
Which part of the conclusion goes beyond the evidence? It seems fairly reserved to me.
They saw many studies that found reduced CBF in ME/CFS. They said CBF is reduced in ME/CFS.
The reason for the CBF reduction (deconditioning, medications, ME/CFS pathophysiology, etc) is a different...
Awesome! I'm not yet positive I understand it right, but I've been trying to find if there's any tool to find the best correlations based on raw genetic data from thousands of other traits, and this might be it? And you don't even have to convert to grch37 or rsids.
Favorable responses to upadacitinib, a JAK1 inhibitor, in long COVID patients with predominant neuropsychiatric symptoms: case reports in 2 autistic patients and one typically developing patient
Harumi Jyonouchi, Jeffery Kornitzer, Lee Geng
[Line breaks added]
Abstract
The long-term impact of...
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