Jack | amatica health Profile picture
ex Aerospace Engineer, now ME/CFS & LC patient researcher and cofounder @amaticahealth https://t.co/BvmsOvch0p
Jun 24 8 tweets 4 min read
3 Biological Neuroimmune Subtypes in Post-COVID & ME/CFS 🔬❕

We mapped our @amaticahealth post-COVID + ME patients into three distinct biological clusters using Neuroimmune markers

Cluster 1; mitochondrial stress
Cluster 2; Non inflammatory
Cluster 3; Neuro inflammatory

🧵 👇🏻 Image How we did it:

• Serum & Plasma biomarker panel → neuro, immune, RAS & neuro mito markers

• Unsupervised Euclidean clustering → C1, C2, C3

Markers used for clustering:

- NEFL
- S100b
- PINK1
- DRP1
- BH4
- Serotonin
- Rock1
- Rock2 Image
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Jun 11 12 tweets 2 min read
So there was a lot of talk recently about a paper discussing COVID-19 micro-clotting.

I thought I’d break it down in simple language.

The paper looked at why tiny blood vessels get blocked in severe COVID-19. They discovered, it is not the usual clots we hear about. 🧵👇🏻 Image Inside capillaries, the “wall” is a layer of endothelial cells. When these cells die suddenly, they leave rough patches that blood cells can stick to.
Jun 10 11 tweets 3 min read
🔬Low serotonin in ME/CFS & Long COVID - what could explain it?

Within our community 1 energy metabolism group, a trend to low serotonin was seen, what could explain this?

🧵👇🏻 Image Brief reminder:

We split our ME/CFS and Long COVID cohort into communities based on how closely related their metabolism markers were.

We ended up with 2 main groups.

Community 1 having mitochondrial stress markers high - the others, not as much. Image
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Jun 5 10 tweets 2 min read
🧵 COVID Isn’t Over - Even If You Feel Fine Post Infection

Even mild cases with no immediate long lasting symptoms can cause lasting immune changes.

After the 1918 flu, Parkinsonian illness spiked. Decades later, H1N1 was linked to dementia and Parkinson’s. COVID-19 likely will have similar outcomes.

Studies show even mild infections can leave the immune system inflamed and fatigued months later.

The damage is often silent - but significant and ongoing.
Jun 4 10 tweets 5 min read
🧵In our metabolic subgrouping, two distinct clusters appeared showing the variability of ME/CFS and Long COVID.

Two different biomarker profiles, each able to lead to similar pathological issues.

These differences can be what drives drug response differences in patients.

1/ Image In our data, two clear groups show up

• Group 1: high markers of hypoxia and mitochondrial stress

• Group 2: normal mitochondria, but high vascular stress and low nitric oxide production hints Image
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May 30 7 tweets 3 min read
🧵We clustered our patients based on metabolic / O₂-sensing / mitochondrial markers.

Two distinct subgroups appeared, showing potential differences in underlying metabolic function.

We also looked at which other markers separated them.

Here’s what we found 👇

@amaticahealth Image
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The metabolic/mito markers we used:

• HIF1a (hypoxia)
• PINK1 (mito recycling)
• DRP1 (mito fusion)
• SIRT1 (mito stress adaptation)
• GDF15 (mito health)
• TWEAK (exercise intolerance)
• BH4/BH2 ratio (NO signalling)
• Serotonin (neuronal mito health)
May 14 11 tweets 3 min read
So how do my recent @amaticahealth markers potentially fit me into the Itaconate Shunt theory?

The potential driver IFNa (roughly 10x control)

HIF1a, PINK1, Arg1, PGE2 all signs of potential downstream pathology

Let’s break it down 🧵👇🏻 Image
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Quick recap:

Your mitochondria normally run the TCA/Krebs cycle.

Under threat, immune cells take a detour: IRG1 converts cis-aconitate → itaconate.

That detour = the itaconate shunt.
May 13 9 tweets 2 min read
With my recent results from the @amaticahealth panel, I’ve had a lot of people mention specific theories I may fit into, so I thought I’d break them down!

• Itaconate Shunt Theory (Davis & Phair Theory)

What is it and what does it mean?

🧵👇🏻 Image Infections make you feel exhausted.

This occurs because your immune cells may be diverting energy through a “detour” known as the itaconate shunt, aiming to starve pathogens but temporarily reducing your energy supply.
Apr 11 11 tweets 3 min read
New Research Post 🔬❕

47.1% of ME/CFS & Long COVID patients had elevated ANG II compared to all controls.

Correlation between ANG II and NEFL (P<0.0001), potentially linking ANGII levels with neuroinflammation

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Ang II is part of the renin–angiotensin–aldosterone system (RAAS). It raises blood pressure, tells your body to retain salt & water, and boosts thirst.

It’s essential for survival — but too much of it can be detrimental
Apr 2 7 tweets 2 min read
The most common question I get as a researcher:

“Do you think ME/CFS and Long Covid are treatable?”

My short answer: Yes.
My long answer: Read on. We constantly see anecdotes of recovery.
And interestingly, many of them involve the same categories of drugs:

— Antivirals
— Immunosuppressives
— Benzos
— Anticoagulants
— Metabolic drugs (like Metformin)
— ARBs

Etc.
Mar 25 10 tweets 4 min read
New Results Article - Elevated PINK1 in ME/CFS & Long COVID 🔬❕

Finally finished the article breaking down our PINK1 findings in patients:



PINK1 is a protein key to mitochondrial quality control and mitophagy (recycling of the mitochondria)

🧵 ⬇️ amaticahealth.com/blog/pink1-ele…Image
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What does PINK1 do?

PINK1 normally tags damaged mitochondria for recycling by recruiting PARKIN. When mitochondria malfunction, PINK1 accumulates, signaling the cell to clear out the damage and restore energy balance.
Mar 21 14 tweets 4 min read
A Unifying Theory to Resolve the Renin-Aldosterone Paradox, Low Cortisol, and Low Blood Volume in POTS, ME/CFS, and Long COVID🔬

TGF-β1–Mediated Adrenal Suppression

My theory on what is going on 🧵👇🏻 Image Normally, if blood volume is low, the body should ramp up renin & aldosterone to retain salt & water.

But in POTS, ME/CFS & Long COVID, these hormones stay low or normal, despite clear signs of low blood volume.

This is known as the “renin-aldosterone paradox”
Mar 10 7 tweets 2 min read
Just a reminder. We are accepting patients worldwide for batch 2 of our 31 marker ME/CFS and Long COVID patient funded blood panel



Cost is £1125 per patient & you get your results & research surrounding them alongside

The panel covers major systems 👇🏻 amaticahealth.com/me-cfs-long-co…Image The markers cover different systems implicated in ME & LC

- mitochondria
- vascular
- neuro inflammation
- immune system
- virus related
- neurochemical
- exercise intolerance
- mast cells

And more
Feb 28 8 tweets 2 min read
Hypothesis breakdown - Pseudo Hypoxia 1️⃣

Pseudo-hypoxia is where cells behave as if they’re oxygen-starved even when O₂ is normal

In ME/CFS & Long COVID, cells can’t meet energy demands through regular aerobic respiration

🧵 👇🏻

{text} = simplified In ME/CFS, mitochondria—especially Complex V—struggle to synthesize ATP efficiently, meaning normal oxygen levels don’t yield enough energy.

{cell’s energy factories aren’t working well, so they don’t produce enough power}
Feb 26 15 tweets 3 min read
ChatGPT Deep Research response analysis🔬

 “Hypoxia & Mitochondrial Dysfunction in Post‑Viral fatigue Syndromes.” 

I fed deep research 10 key papers, plus prompted to find additional sources and look into why HIF‑1α and PINK1 are so closely linked in ME/CFS and Long COVID 🧵 Image Both ME/CFS and Long COVID patients show problems with energy production and inflammation. 

Research finds that HIF‑1α (which signals low-oxygen stress) is raised in a subset of patients, but not as a disease significantly and PINK1 (which marks damaged mitochondria) is significantly elevated as a disease population (p <  0.0171 ), but with an evident sub population showing a notable increase compared to the control and other patients 

Hif1a and PINK1 strongly correlated (p < 0.0001)

Research from @amaticahealthImage
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Feb 18 6 tweets 3 min read
New results post 🔬❕

Our latest findings on Neurofilament Light Chain (NEFL) levels in ME/CFS and Long COVID patients are now released! 🧠



@amaticahealth

🧵 amaticahealth.com/blog/nefl/Image
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🔬 Key Highlights:

• No overall difference in NEFL levels between patients and controls (P=0.7171)

Potential subgroups identified:

• 20% of patients elevated NEFL vs control

• 30% of patients low NEFL vs control