A new preprint study shatters the idea that pediatric long COVID is just a mild or different version of the adult form.
It shows that children share the same core immune patterns - and, strikingly, some resemble those seen in chronic infections like HIV.🧵
The paper message is clear - pediatric LC is biologically defined immune dysfunction.
Children display
shifts in monocytes (↑ non-classical, ↓ CCR6),
T cell changes (↑ Tregs, ↓ central memory CD4, exhausted CD8),
exhausted B cells.
At the root lies a failure of antigen-presenting cells (monocytes & dendritic cells).
Normally, they carry viral information to T and B cells. But in LC, they express less CCR6/CCR7 - they can’t migrate properly to lymph nodes or activate adaptive immunity.
“Suppressed expression of CCR6 and CCR7… could impair antigen presentation and adaptive immunity.”
The consequence?
B cells don’t mount a strong antibody response.
Children with LC had significantly lower anti-RBD IgG and IgA titers, and their antibodies neutralized the virus less effectively.
The virus can persist in tissues, like the gut.
Meanwhile, T and NK cells become hyperactivated.
On the surface this looks like a strong immune defense. But in reality, it’s a dead end.
These cells show exhaustion markers (PD1, CD57, CD38, HLA-DR↑).
“Elevated expression of activation and exhaustion markers…”
A vicious cycle?
Persistence - activation - exhaustion - persistence again.
And here’s the striking part - the authors explicitly point to parallels with HIV.
“Elevated CXCR3 expression on CD8 TCM has also been reported in people living with HIV-1, suggesting a shared trait of chronic viral infections.”
The same is true for B cells.
Cluster 15 B cells show an exhausted-like phenotype -
“…commonly observed in chronic viral infections such as HIV-1.”
SARS-CoV-2 can imprint the immune system in children in ways that mimic chronic viral disease.
In pediatric LC, CD8 stem-cell like memory T cells (TSCM) decreased, while central memory T cells (TCM) increased.
And within TCM, there was a shift toward CXCR3+/CCR6+ cells - a phenotype of chronic stimulation.
The clinical point is sobering.
Weak antibodies + exhausted T/NK cells = a recipe for viral persistence.
When APCs don’t work (CCR6/CCR7↓), B cells never make high-quality antibodies.
The virus hides, the immune system pushes harder, and burns itself out.
The result?
A state of chronic immune imbalance.
Maybe less dramatic than HIV, but uncannily similar.
Pediatric LC emerges as a model of chronic viral immunopathology - not a psychological aftermath, but a biological condition with measurable immune signatures.
And perhaps we won’t need to argue about these parallels for long.
The authors themselves are already drawing them - between pediatric LC, adults with LC, and chronic infections like HIV.
Pujol et al., 2025. Pediatric Long COVID Is Characterized by Myeloid CCR6 Suppression and Immune Dysregulation. biorxiv.org/content/10.110…
Dobře si to přečtěte @szupraha @ZdravkoOnline @msmtcr @Hygiena_cz. LC je dnes nejčastější chronické onemocnění u dětí - překonává astma.
Tohle jsou následky vaší nečinnosti.
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This may be one of the more important long COVID papers in a while.
A new study in Frontiers in Immunology suggests that COVID can trigger new-onset insulin resistance - and that this may drive abnormal NETosis in neutrophils months after infection🧵
NETosis is the process where neutrophils release web like structures made of DNA, histones, enzymes.
Normally, this helps trap pathogens.
But when excessive, NETs can -
damage the endothelium
trigger microclots!
amplify inflammation
activate coagulation.
Exactly the kind of pathology seen in COVID.
The study followed 60 COVID patients.
Among 36 people without prior glucose metabolism problems, 24 developed insulin resistance 4 months after infection.
That alone is a striking finding.
Some children with Long COVID seem to fall into the same trap as adults - and medicine still doesn’t really know how to get them out.🧵
The UK CLoCk study followed young people who had already been living with post-COVID symptoms for two years. Another 1.5 years later, most of those who responded still met the definition of post-COVID condition.
Some describe years of exhaustion, brain fog, sleep problems, breathlessness, pain, and symptoms that come and go without warning.
No slow recovery after a virus.
A new study in Brain, Behavior, & Immunity - Health reports measurable white matter changes in people with neurological long COVID.
Symptoms had persisted for an average of 2.7 years after infection - almost three years. That points to a long-term neurobiological process in the CNS🧵
The study included 80 participants.
54 with neurological PASC and 26 controls.
Using diffusion MRI, the authors found abnormalities mainly in the fornix and forceps minor - pathways involved in memory, limbic circuits, and frontal connectivity.
The imaging pattern was lower FA and higher MD/RD/AD.
In simple terms - the microstructure of white matter looked disrupted. The study cannot prove the exact cause, but the pattern is compatible with neuroinflammation, demyelination, axonal injury, or microvascular damage.
A new population-based study from Japan on Long COVID is out - the Yao COVID-19 Study.
After quite a long gap, we finally have another useful community prevalence study - and importantly, it can distinguish Alpha/Delta from Omicron🧵
The study followed 2,314 adults after COVID-19 and compared them with 1,314 uninfected controls.
Post-COVID condition was defined broadly in line with WHO criteria. Symptoms lasting at least 2 months and present 3 months after infection.
Prevalence of PCC
3 months 14.3%
6 months 12.0%
12 months 6.3%
18 months 5.4%
So even 18 months after infection, about 1 in 20 infected people still reported persistent symptoms.
During the pandemic, physician @leanhealth reported something important.
COVID patients who slept next to bedside air filters often seemed to have milder disease - possibly because they were not re-inhaling virus-laden air for eight hours every night🧵
A new hypothesis paper now points in the same direction using CT data. Cleaner air may not only reduce transmission. It may also reduce how deeply SARS-CoV-2 affects the lungs.
The idea is simple. The virus first replicates in the upper airways. An infected person then exhales tiny virus-containing aerosols. In poorly ventilated indoor spaces, these particles can build up and be inhaled deep into the lungs.
A population-based study raises a concerning possibility - after COVID-19, the risk curves for newly detected diabetes may continue to drift apart over time🧵
The cohort included 248,176 adults without prior diabetes
124,150 SARS-CoV-2 positive and 124,026 test-negative controls.
The result was modest but statistically significant.
New diabetes was detected in
0.60% of the positive group
0.53% of the negative group
Hazard ratio 1.13, 95% CI 1.02-1.25