What's interesting about these findings, is that they had moderately strong correlation with CPET performance! That's in addition to there being a clean separation between healthy controls vs. LC* & ME
The x-axis appears to be a composite measure of 'CF * COL4 (Lumen)'
(Lumen is the internal space of the capillary, through which the blood flows)
In the caption it's called 'CF*Lumen'
I don't know what CF means. Capillary flow? Collagen fiber?
Also, you can create all kinds of composite measures, so this increases the risk of p-hacking.
But if we leave that aside and assume that there's a benign reason for it, we're left with some fascinating results.. because these findings aren't unique to LC/ME
Scleromyositis is a condition where there's significant thickening of the basement membrane, as well as high amounts (~two-thirds) of BM 'reduplication' (layers)
Now, Slaghekke doesn't note the frequency of reduplication in LC/ME samples, and I can't find comparable BM measurements in scleromyositis.
But we can assume it's a worse amount of BM thickening, as well as that it's systemic (including the lungs).
We don't yet know if it's systemic in LC/ME or only in muscle capillaries.
Regarding the lumen diameter, I can't easily find data for Scleromyositis, so it's hard to compare. (This matters, as I discuss later)
Now the interesting question: how do people with scleromyositis react to exercise? Do they get PEM?
They do have a 'disproportional response to exercise', getting easily fatigued. This is not just due to capillary BM thickening in muscles, but also in the lungs and at the heart.
However, scleromyositis patients do improve with exercise over time! No PEM. This suggests ME/CFS has more going on.
Still, it has an effect on 1-day CPET performance. I asked Claude (AI) to calculate how much these variables would affect oxygen supply, and was pretty shocked!
The diffusion would be reduced by 25-35% (thicker layer to cross)
Flow however is much more severely impacted by reduced diameter. A 29% reduced diameter leads to a 75% reduced blood flow through the capillaries! (Reduced volume at reduced speeds)
Together, these would lead to 81-84% reduction in capacity!
(I don't know how this compares to scleromyositis, because of the unknown lumen space. I'm on completely unfamiliar terrain, but I think lumen space might be significantly wider and more variable in Scleromyositis. This would imply less flow issues and more oxygen delivery)
Now, 81-84% doesn't quite match the observed reductions in power output, which looks more like 30-60%.
This could be due to compensatory mechanisms, such as anaerobic respiration.
Nonetheless, it would be great if we can resolve this, especially by increasing the lumen space, which would have the largest effect on capacity
1 drug that would normally help to widen capillaries is Fasudil, which works by relaxing the pericytes attached to endothelial cells..
Well, I happen to know of 10+ people who took Fasudil. And iirc, no response.
How could that be? I don't know. Perhaps the basement membrane is stiff enough to keep the capillaries' lumen compressed regardless of pericyte relaxation?
This all leaves me with a bunch of questions, like all good research does. I hope we see a replication attempt soon, as well as highly needed follow-up research. I'm excited!
This is an important point: not only patient-reported outcomes (surveys) are susceptible to bias.
Many supposedly "objective" measures are susceptible to 'effort effects': people trying harder because they expect they can do more, expect less PEM, want to please, etc.
Some examples with high risk of 'effort effects':
- 6-minute walk test
- grip strength
- any other "simple" exercise performance
- realtime brain activity
Lower but still some risk of effort/subjective effects:
- daily step count
- work hours
- sleep data
- daily time upright
- probably some exercise metrics (e.g. difference in VO2Max on 2-day CPET)
If you want to get better at evaluating science, I can highly recommend the book Science Fictions by @StuartJRitchie
I just finished it, and it has really emphasized the many issues with science & I learned a lot!
A few takeaways 🧵
The image above illustrates it well: looking only at registered trials & their primary outcomes, only 50% of trials found a positive effect of various depression treatments.
However, through publ. bias, outcome switching, spinning results etc, the literature looks much rosier!
Treat every paper with the scepticism for a “CBT for ME/CFS” paper
Just because you like positive results, doesn't mean they're well-supported
Sample: they focused on the most severe patients, who had at least some measurable biological dysfunctions (POTS, microvascular, endothelial, pulmonary)
I really like this: presumably easier to find abnormalities in extreme population
Severity doesn't seem measured via scale 🫤
Increased IgG to SARS-CoV-2 in Long Covid vs. convalescent