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Main points: The recently posted study is just meant to determine the best dose for a future larger efficacy trial. It's not yet recruiting or funded. Posting the protocol was the first step in the process to get funding.

There is a follow-up to this study: Evidence of Accumulating Neurophysiologic Dysfunction in Persistent Post-COVID Fatigue (2025, Germann et al, Preprint)

They combined data from two groups of people with post-COVID fatigue. A group of 37 that they analyzed previously, plus data for another group of 108 patients. Here are the threads for the previous studies (refs 15, 16): - Neural dysregulation in post-COVID fatigue 2023 Baker et al - Recovery...

This looks pretty interesting because they tested a lot of different objective nervous system metrics. I don't know much about these measures, but there's measurements related to things like reaction time, cortical excitability, blood oxygen saturation, and peripheral fatigue. Some examples...

Evidence of Accumulating Neurophysiologic Dysfunction in Persistent Post-COVID Fatigue [Line breaks added] Abstract A major consequence of the COVID-19 pandemic has been the emergence of post-COVID syndrome (PCS), and more specifically, post-COVID fatigue (pCF), with an estimated prevalence...

I don't know much either, but I thought there was a way to filter molecules by size. So you'd split patient serum into large molecules and small molecules, and see which of these still has an effect on the muscle like in this study. Then split the one that does by size again and try again. It...

I took a long break from adding studies to my app after I let perfect become the enemy of good, and became overwhelmed and overworked. Basically, I was trying to create an all encompassing criteria that could apply to every study I came across, and as you can see it was getting quite...

Note that we have a thread for this article: Brunel University London - Reactivation of herpesviruses in Chronic Fatigue Syndrome

The IOM criteria, which many studies, including DecodeME, use, doesn't require a flu-like feeling. From DecodeME: Edit: The criteria from the NICE 2021 guidelines doesn't require flu-like feelings either.

Distinct Symptom Clusters Reflect Pathophysiological Mechanisms in ME/CFS Habermann-Horstmeier, Lotte; Horstmeier, Lukas M. [Line breaks added] Introduction Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a severe multisystemic disease with a broad spectrum of symptoms. A...

I'm not sure I'm saying something different from you. All I meant was, for the specific phenomenom of PEM, with the characteristic delay and several days long crash which is weird and so far eludes explanation, it seems fairly likely to me that there's one specific process that causes this same...

I'm not at all confident enough to make any strong claims, but these are basically the vague ideas that float around in my head: Symptoms related to sickness response (similar to flu symptom mechanism) - Genetic studies pointing to brain (DecodeME, Zhang preprint on HEAL2 model), aligns with...

I contacted the authors who confirmed the figure was not correct, and I see that they've updated the figure:

Isn't this the comparison between groups: "to a greater degree in the intervention group (p = 0.01)."

Evaluation of an online patient education program for children and young people with ME/CFS and their parents within the BAYNET FOR MECFS Study Background: ME/CFS (Myalgic Encephalomyelitis/Chronic Fatigue Syndrome) poses challenges for affected children and...

Yeah, it's confusing. In other places, they refer to Carruthers. One refers to CCC, one cites ICC: [2] is ICC.

Yeah, I wouldn't expect there to be actually zero real difference between days because I expect exercise to do things to anyone, so would expect some skew in the raw p-values, though maybe not so much it passes correction. But I agree it seems very strange to have so many very significant...

I don't think this is correct. For example, if all the findings are actually null, which would result in a uniform distribution of p-values between 0 and 1, there's a good chance nothing will pass the FDR threshold. I verified with some quick code which output a minimum q-value of 0.31 if the...

I'd assume a log transformation before doing the standardization would be good so that the expression data isn't heavily skewed. https://www.researchgate.net/post/What-is-Log-transformation-and-why-do-we-do-it-in-gene-expression-analysis Edit: Spoke too soon, I looked at the methodology file...

BBC: 'I want my album to help people understand my ME' The album can be listened to on Spotify.