Siebe. Profile picture
Aug 25 16 tweets 4 min read Read on X
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

I find these findings really exciting!

Some thoughts & caveats

🧵 Image
First, a methodology question

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? Image
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) Image
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). Image
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) Image
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! Image
(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. Image
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! Image
@RobWust @DrDenDunnen @threadreaderapp unroll please

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Siebe.

Siebe. Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @PatientPersists

Nov 30, 2024
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)
Read 5 tweets
Mar 18, 2024
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 🧵 Image
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
Read 14 tweets
Feb 23, 2024
This is a great article, worth reading.

A few graphs I noticed in addition to @yaneerbaryam🧵
Quantified BBB per DCE-MRI analysis Image
Read 7 tweets
Feb 14, 2024
A great paper on viral persistence, with multiple teams using a variety of methods.

They discovered immune activation, as well as efforts to limit immune activity.

Viral persistence assays (Simoa, nCounter, SPEAR) all pooped out: not finding high levels of antigens or RNA
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 🫤 Image
Increased IgG to SARS-CoV-2 in Long Covid vs. convalescent Image
Read 7 tweets
Feb 4, 2024
To make LC more attractive to pharma we need

1. A surrogate biomarker

2. An international patient registry ➡️ reduces costly recruitment

3. Public precommitment by FDA for accelerated pathways for the first effective drugs

Explained:

#UniteToFight2024 atelfo.github.io/2023/12/23/bio…
1. A surrogate biomarker

Requires increased (and targeted) government spending.

Patient advocacy groups are clearly focused on this
2. International Patient Registry

Trial enrollment is usually slow and costly to companies.

Patient registries that pre-collect relevant data make it easier for companies to find enough people to match their inclusion criteria.

➡️ Required: ambitious person & bit of funding
Read 5 tweets
Jan 18, 2024
This paper has now been uploaded as preprint, and the data is definitely interesting:

➡️ Evidence suggests viral replication in Long Covid
➡️ In whole blood
➡️ In significant fraction of pwLC

Paper:

A summary with graphs 🧵 medrxiv.org/content/10.110…
Sample: 48 pwLC, 12 matched controls. All (but 1) non-hospitalized.
➡️ Bit of a small control group imo

➡️ Analysis done on whole blood, instead of plasma or serum

✅ Significance levels corrected for multiple tests (via FDR)
Transcriptomics measures RNA.

Sense (positive) & Antisense (negative) are the complementary RNA strands.

mRNA (positive), if functional, is needed for a cell to synthesize the particular protein the RNA codes for.
Read 18 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(