This Long COVID study feels scary for a reason - it hits an immune axis immunologists already know from HIV, HBV, sepsis, and cancer. That makes the result more biologically plausible, not less🧵
A study looked at women with Long COVID with an ME/CFS phenotype using single-cell RNA sequencing of peripheral blood 12 months after acute COVID. It was a detailed look at which immune cells were present, how many there were, and what state they were in.
The main finding.
The immune system did not look like it had simply settled down after infection. It looked chronically remodeled and dysregulated.
There were fewer naive CD4/CD8 T cells, Tregs, MAIT cells, γδ T cells, and NK cells - and more effector T cells, activated B cells, platelets, and low-density neutrophils.
That matters because this is not just a random list of abnormalities. The changes point in the same direction - cells involved in - regulation, reserve capacity, barrier surveillance, and cytotoxic control are reduced, while cells linked to activation, inflammation, and stress signaling are increased.
So this does not look like an immune system that recovered and returned. It looks more like an immune system that stayed stuck in a prolonged state of pressure - activated, imbalanced, and - increasingly costly to maintain.
The T cells also showed signs of chronic activation and exhaustion, while NK cells had a profile consistent with reduced cytotoxic function. That’s important, because it suggests the problem is not just too much immune activity, but also less efficient control of infected or damaged targets.
One of the most striking parts of the paper was the loss of MAIT cells and γδ T cells - fast, innate-like immune cells that matter especially at barrier and mucosal sites. That makes this feel like more than generic inflammation. It points toward disrupted barrier/mucosal immune surveillance as part of the picture.
And that’s where the study gets especially interesting.
The authors propose a role for the Galectin-9/ TIM-3 axis. This is not some obscure pathway. It is a well-known immunology axis tied to T-cell exhaustion, apoptosis, checkpoint signaling, impaired effector function in other serious conditions.
The authors may have identified a real and biologically meaningful axis.
The biggest strength of the paper is that it links a plasma biomarker, a receptor on specific immune cells, and a functional consequence ex vivo. That is much stronger than just saying marker X is up and cell type Y is down.
This is the core logic of the study - there may be a state of ongoing immune pressure, and that pressure may be translated through Galectin-9/TIM-3 into exhaustion, apoptosis, or functional loss in key immune populations - especially MAIT and γδ T cells.
That’s what makes the paper feel coherent. Not just many things are off - it’s that the abnormalities can be read as one connected system. Chronic stimulation - loss of regulatory and reserve cells - persistent effector/inflammatory activity - checkpoint braking and exhaustion - weaker barrier surveillance and cytotoxic cleanup.
The increases in activated B cells, platelets, and low-density neutrophils also fit that same story. This is not only a T-cell problem. It looks more like a system wide immune remodeling, spilling into innate inflammation and thrombo inflammatory biology too.
At the same time, the biggest weakness of the study is still obvious. We do not yet know what sits at the top of the cascade. Is it persistent antigen? Microbial translocation? Tissue DAMPs? Neuroendocrine dysregulation? Some mix of all of the above? The paper hints at a gut/mucosal connection, but does not prove it directly.
That matters, because this mechanism may not be all or nothing. The paper shows a strong clinical version of it in a specific subgroup - women with Long COVID/ME/CFS at 12 months - but the same biology could exist more broadly across Long COVID in milder or less obvious forms. Not everyone has to reach the same depth of dysregulation to be part of the same biological axis.
And the timing is important. These patients looked like this a full year after infection. That does not tell us whether they will worsen, stabilize, or improve - this study is basically a snapshot, not a trajectory. But it does tell us this is not just a short lived post viral afterglow.
Some immune abnormalities in Long COVID may improve over time, but a chronically inflammatory, checkpoint-heavy, cytotoxicity-impaired environment is not something we would consider biologically benign. And if epigenetic remodeling is part of the story too, that raises the possibility of a more durable immune reprogramming, not just a temporary blip.
That’s also why the parallels matter.
HIV and HBV are the best parallels for chronicity and T-cell exhaustion.
Sepsis is the best parallel for the double edged nature of this axis.
Cancer is the best parallel for checkpoint logic.
What makes this Long COVID paper so interesting is that it seems to borrow something from all three.
So yes - this paper is unsettling. Not because it proves hopelessness, but because it suggests that in at least some patients, Long COVID is biologically serious state of immune dysregulation that fits into pathways immunology already associates with major disease.
And that may be the most important takeaway. This is not just about one odd biomarker or one depleted cell type. It is about the possibility that Long COVID becomes a self-reinforcing immune state - one that is activated, exhausted, inflammatory, and not able to fully restore balance. @szupraha @ZdravkoOnline @adamvojtech86
Shahbaz at al., Single-cell analysis reveals immune remodeling of monocytes, NK cells, T cell exhaustion, and Galectin-9–associated depletion of gamma delta and mucosal-associated invariant T cells in Long COVID with ME/CFS. frontiersin.org/journals/immun…
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A new preprint examines gut biopsies from people with LongCOVID and healthy controls. It does not just ask whether SARS2 Spike is present in tissue, but also what is happening in the surrounding tissue using spatial transcriptomics. That is probably the most interesting part of the paper.🧵
An important detail.
Spike was detected in all Long Covid gut samples studied! But in the colon, the crucial finding was not simply presence of Spike - it was the abnormal immune microenvironment around Spike+ regions.
The main point.
The presence of Spike is not unique to Long Covid. The authors found Spike in tissue from some healthy controls as well. So the key difference is not simply present vs absent, but rather how the surrounding tissue responds to persistent antigen
When a child looks fine after COVID but is suddenly exhausted, foggy, short of breath, or no longer coping with school the way they used to, parents often feel something is wrong long before anyone can explain it🧵
This review argues that long COVID in children is real, often underestimated, and important to take seriously - not to create panic, but to help families recognize it early and respond with care and common sense.
This review makes one central point very clearly - long COVID can affect children and teenagers in meaningful ways, even after a mild infection, and even when routine tests do not show anything dramatic.
Students who recovered from COVID-19 showed slower reaction times, but implicit motor learning appeared to remain intact. In other words, this may be less about - can the brain still learn? - and more about how efficiently it processes and executes a response🧵
The study included 84 college students. 24 COVID-recovered participants and 60 controls.
They completed a remote serial reaction time task (SRTT), a classic paradigm that can separate general response speed from implicit sequence learning.
Main result?
The COVID-recovered group had significantly slower reaction times than controls. But when it came to implicit learning itself, there was no meaningful group difference
Even in the Omicron era, long COVID remained common. A preprint meta-analysis showing that the burden persisted, even as the symptom profile shifted.🧵
This study is interesting because it does not just ask how common long COVID is. It looks at two things at the same time.
Which SARS-CoV-2 variant caused the infection, and how long after infection symptoms were assessed.
They included 35 studies with a total of about 159,000 people. Overall, long COVID showed up in about 28.5% of cases. It was more common after pre-Omicron infections, where the prevalence was around 35.5%, than after Omicron infections, where it was about 22.8%!
Most explanations for why SARS-CoV-2 spread so efficiently focus on the spike protein.
This paper goes in a different direction.
It’s mostly a hypothesis paper - but an interesting one - asking whether part of the story lies in the physical architecture of the virus itself🧵
Instead of spike, the authors focus on two structural proteins.
M (membrane protein)
N (nucleocapsid)
These proteins form much of the virus’s structural shell.
Their main concept is intrinsic disorder.
Proteins are not always rigid. Some regions are flexible and dynamic.
In simplified terms -
more disorder - more flexible
less disorder - more rigid structure
One study among many highlights the potential role of HEPA air cleaners in classrooms. A modelling study published in 2024 explored how filtration and ventilation interact🧵
This modelling study looked at how portable HEPA air cleaners affect classroom air quality, airborne viral material, CO₂, and energy use in naturally ventilated school classrooms. It compares three main scenarios.
Baseline = natural ventilation only
HEPA = HEPA filter added, with window-opening behaviour unchanged
HEPA Adjusted = HEPA filter added, with reduced window opening to save heating energy.