This preprint (from April 5) is FASCINATING. Someone requested I have a look at it, and I'm glad they did, because it made SO MANY separate things suddenly make sense.
Here's a look at how a specific type of MICROCLOTS may be associated with LONG COVID pathology...
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This thread will have three things:
- Takeaways of this study
- Breakdown of the method they developed
- How these findings connect with other known patterns
This is a study that looks at some rugged little blood clots that come courtesy of the SARS-CoV-2 spike protein.
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Some important background info:
- FIBRINOGEN is a protein that just kinda hangs out in the blood, waiting.
- FIBRIN is a fibrous protein that forms a mesh to hold platelets together to form a blood clot.
- THROMBIN is the enzyme that converts FIBRINOGEN into FIBRIN.
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If you add thrombin to blood plasma "from people with various chronic inflammatory and neurodegenerative diseases," anomalous microclots can form that are "more resistant to breakdown than normal clots."
These can also be induced JUST by adding the spike protein to plasma.
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These microclots may impair oxygen exchange in various ways, which would lead to a cascade of issues, and it's a plausible explanation for why PEM occurs. If the virus directly enters pulmonary vasculature through the mouth, these spike protein clots could be a huge problem.
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In this study, they developed a new method to measure the microclot counts for individuals, then demonstrated "that as a cohort, samples from people with Long COVID have a higher mean microclot count compared to samples from control groups."
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What are the takeaways?
- Microclot counts are raised in the LC cohort compared to controls
- SARS-CoV-2 infection raises microclot counts, which "take several months to return to control levels."
- Microclots may be a biomarker to screen, or even a treatment target.
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What is the new method they devloped? It's a way to screen for microclots, and it specifically addresses a few potential issues with past studies.
In particular, the type of slidse typically used often have specks of reflective material about the size of the microclots!
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Critically, they also found that leaving the blood tubes sitting around for an hour before separating out the components affected the microclot count, as did repeated freeze-thaw cycles.
So, they designed a method that was quick and had as little handling as possible.
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In this method, they're able to keep the blood samples in little wells, rather than smearing them on a slide. An imaging module focuses at different depths to capture a multi-layered image, and the microclots are then automatically identified and counted.
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Importantly, they did repeat data collection and found that they got consistent results up to six hours after initial data collection, which means it can be done with an autosampler.
This method seems robust both for research and, potentially, diagnostics.
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What was found, specifically?
LC group has significantly higher clot counts compared to both uninfected controls and infected-but-no-LC controls.
Interestingly, there was ALSO significant difference in clot counts between the "recent COVID" group and other control groups.
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It's very notable that "only one [control] had a microclot count >50 while approximately half the LC group had counts above this level."
Also very interesting: there was a statistically significant difference in LC vs. control for microclot counts for women, but not men.
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The difference in immune response seen between men and women may pattern with what has been observed elsewhere (including a stronger innate immune response in men, but a more robust adaptive response in women).
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Very notably, the "Recent COVID samples have microclot counts comparable to" around the *top 25% of the LC group!*
"Together, these data indicate that exposure to SARS-CoV-2 initially increases the microclot count..., but these microclots are cleared over time."
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IMO, this finding is a really strong explanation as to why there seems to be an increased risk of cardiac incidents in the 3-6 months following a SARS-CoV-2 infection: The presence of the spike protein may be creating microclots throughout the cardiovascular system!
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How did the microclots relate to symptoms? Their questionnaire was basic, but they generally found the symptoms you'd expect being prominent in the LC group: fatigue, post-exertional malaise, difficulties concentrating, etc.
However, high microclots didn't GUARANTEE LC!
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So, do microclots cause LC? I mean, they probably don't *help*.
One possible explanation is that LC may reflect a persistent dysregulated state (e.g. a "pro-coagulable state"), and external intervention would be required to shift things back to normal.
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I think the "potential role of the spike protein in inducing amyloid formation and seeding microclots" is a FASCINATING possibility—especially given that there seems to be the possibility of a runaway process of consistent clotting.
(It may also explain vCJD!)
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The authors also note that, since this is a new line of research, we have no idea what role microclots may play in other conditions—but they're beginning by investigating whether pwME have similar microclot profiles to pwLC!
I'm also very curious how EBV impacts clotting!
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Of course, this isn't the only way that the SARS-CoV-2 spike protein has been shown to cause cardiac damage: It may also lead to fusion of uninfected cells!
Overall, the implications are significant. At the very least, I think this is a plausible explanation for why there are often cardiac issues *in the time period shortly after infection,* even if it doesn't explain LC!
My thoughts on this new finding? AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
"The consumption of BW [bottled water] is associated with heightened risk for certain health conditions," such as:
- hypertension (+5% increased risk)
- diabetes (+9%)
- GI ulcers (+21%)
- kidney stones (+17%)
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This was a very large cross-sectional study that looked at a national population, conducted by Italy's census agency. They controlled for covariates including socioeconomic status, age, and gender, then clustered and stratified the population as appropriate.
Solid methods!
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Analysis is *conceptually* straightforward:
- They built models to understand how bottled water + EACH confounding variable interacts to impact health outcomes.
- They combined those models into one big model to analyze all the variables together for each possible outcome.
New interdisciplinary review was published on current Long COVID science, with a roadmap for science and policy!
It is written in plain language, so it's worth a read on its own, but I just want to pull out some highlights about what WE DO KNOW into a single thread...
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This is definitely the definition for Long COVID I'll be explicitly using from now on: Long COVID is "the constellation of post-acute and long-term health effects caused by SARS-CoV-2 infection."
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Long COVID "affects nearly every organ system, including the cardiovascular system, the nervous system, the endocrine system, the immune system, the reproductive system, and the gastrointestinal system."
It affects people regardless of age or pre-existing health status.
This review/commentary piece makes one thing extremely clear: We do not yet have ANY STRONG EVIDENCE about how SARS-CoV-2 infection affects PREGNANCY.
The limited evidence shows there IS harm, which may be MITIGATED by vaccination.
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What is the takeaway? There are three:
- Unanswered questions remain about the effect of SARS-CoV-2 on pregnancy.
- Evidence shows congenital anomalies MAY be associated with COVID.
- Evidence shows vaccination provides "protection from such anomalies."
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Let's be very clear: The current lack of evidence isn't because there is a lack of harm; it is because there is a lack of DATA available to even begin to understand the harm.
There is almost no available data on the impact of COVID on first- and second-trimester pregnancies.
THIS IS BIG. WOW. New paper in PLOS Pathogens has findings about:
- the effect of the SARS-CoV-2 spike protein on cardiac cells (and mitochondrial dysfunction!),
- a treatment to be investigated, and
- how this is NOT caused by mRNA vaccines!
Buckle up, we're diving in...
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[This paper is an uncorrected proof; it's been peer-reviewed, but not copyedited yet.]
A bit of background: syncytia (sin-sih-sha) are giant cells with multiple nuclei that form from the fusion of multiple cells. Viral infections are a common cause of syncytia.
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The authors had two motivations for this study:
1. Cardiac complications are a major feature of COVID. 2. Patients with heart failure tend to experience very poor outcomes from COVID.
Really, it hasn't been entirely clear *how* COVID leads to heart failure... until now?
New preprint on the PATHOGENICITY of H5N1 was published yesterday, and... it's not good news, but it's definitely not *terrible* news either!
The delayed, lackluster response to the current outbreak remains DEEPLY concerning.
Here's a summary for a general audience!
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They test three H5N1 isolates. I'll refer to them as:
- Texas: Isolated from worker at Texas dairy farm (A/Texas/37/2024)
- Bovine: Isolated from dairy cow (A/bovine/Ohio/B24OSU-342/2024)
- Vietnam: Isolated from fatal 2004 human infection in Vietnam (A/Vietnam/1203/2004)
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This study looked at pathogenicity, which is, basically, the ability of a virus to fuck up your cells, organs, or body, as determined by some measurable indicator of damage.
It's one of those concepts that's so broad that it's useful to include a formal definition:
This isn't a major paper, but it's an interesting jumping-off point for three different topics:
- Accuracy of RATs—in practice
- Understanding what descriptive (incl. Bayesian) statistics mean
- HOW rapid tests work
Here's a thread written for a general audience!
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This study was conducted from January 2020 to June 2021 using admission screening swabs from 556 oncology patients at a single hospital in Jerusalem.
The patients in this study were swabbed for both PCR and RAT, allowing for comparison of the detection ability.
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The takeaway is simple: The Rapid Antigen Test (RAT) used here had a sensitivity of 69.6%.
Sensitivity is the *true positive* rate. This means that, out of the patients who tested positive for SARS-CoV-2 using qRT-PCR testing, only 69.6% were *also* positive on the RAT.