Zdenek Vrozina Profile picture
Feb 13 10 tweets 2 min read Read on X
A new macaque study looked at how immune memory forms after infections with different SARS-CoV-2 variants.
The main pattern is familiar from other viruses -
immune imprinting tends to stay biased toward earlier variants, even after later infections.🧵
The model is useful because it allows sequential infections under controlled conditions (Wuhan - Delta - Omicron), something that’s hard to observe clearly in humans.
Omicron as a primary infection = relatively weak new immune imprint
After first Omicron infection in macaques -
variant-specific anti-Omicron RBD antibodies developed slowly
overall immunogenicity was lower
T-cell responses were also weaker.
This suggests that a single Omicron infection may not generate particularly strong variant specific protection against reinfection with similar strains.
Prior infection with earlier variants = persistent imprinting
When animals had previous exposure (eg Delta or earlier strains), later infections - including Omicron - tended to boost antibodies targeting Wuhan-like epitopes more strongly than Omicron-specific ones.
This pattern reflects what immunology describes as
original antigenic sin (immune imprinting) -
where the first strong antigenic exposure continues to shape responses to later variants.
So even after reinfection with a different variant, the immune system often recalls and amplifies earlier memory responses rather than fully shifting toward new variant-specific targets.
Imprinting here is not specific to Delta.
It reflects the effect of the first strong antigenic exposure - whether that was Wuhan, Alpha, or Delta.
Delta simply represents the last highly immunogenic preOmicron variant in this dataset.
Sum:
In this model -
Primary Omicron infection - relatively weak variant-specific imprinting
Earlier variant exposure - lasting immune bias toward ancestral epitopes during later infections.
Urano at al., Pathological characteristics of SARS-CoV-2 variants and immune responses induced in a COVID-19 macaque model. nature.com/articles/s4200…

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More from @ZdenekVrozina

Feb 21
This pediatric long COVID study found an immune fingerprint where the authors explicitly flag parallels with chronic viral infections (they name HIV-1) not as a slogan, but as part of how they interpret their own data🧵
JCI Insight 2026. Pediatric long COVID vs kids post-infection without long COVID, sampled around ~3 months after acute infection.
We covered this topic in the preprint, now we’re going into more detail given how important it is.
What they did - deep immune phenotyping (PBMC flow cytometry) + antibody profiling (anti-RBD/S2/N IgG/IgA) + pseudovirus neutralization.
Read 24 tweets
Feb 20
After COVID and HIV (even on ART), your cells can carry a clear immune aging signature - especially inside naive CD8 T cells🧵
A new paper uses single-cell RNA-seq to ask a sharper question.
Is the aging signal coming from changed immune-cell proportions (systemic), or from aging-like shifts inside the cells themselves (intrinsic)?
The team built a T-cell aging clock called Tictock (T immune cell transcriptomic clock).
It predicts cell type + transcriptomic age across 6 T-cell subsets.
Read 16 tweets
Feb 20
SARS-CoV-2 in brain tumors - what does it actually mean?
A new study analyzed brain tumor samples from 72 COVID-19 patients (Omicron BA.5 wave) to see whether the virus can be found directly inside tumors - and how it affects their immune environment🧵
First - nothing mystical here.
Tumors are still tissue. They often have abnormal vessels, disrupted barriers, and altered immunity.
So the real question isn’t can virus be there? - but what happens if it is.
Why might viral components be found in tumors at all?
Tumors have leaky, abnormal blood vessels and impaired drainage (EPR effect), and brain tumors often disrupt the blood-brain barrier.
This allows viruses, proteins, and immune complexes circulating in blood to more easily enter and persist within tumor tissue.
Read 16 tweets
Feb 19
Even three years post-infection, a subset of COVID survivors shows a persistently altered immune landscape, marked by elevated cytokines and incomplete recovery of key immune cell populations.🧵
Some inflammatory signals remain elevated, and certain immune cell populations never normalize. The strongest and most consistent changes involve the T-cell compartment rather than innate immune cells.
The authors describe the pattern as resembling immunosenescence because
naive CD4 and CD8 T cells - the reserve needed to respond to new infections - remain persistently reduced.
Read 21 tweets
Feb 19
This new study shows that SARS-CoV-2 can systematically reprogram cellular metabolism to support its own survival.
This isn’t just tissue damage.
It’s a redirection of the body’s energy systems🧵
This is a recent mini-review examining how COVID-19 affects lipid profiles and the metabolome, especially in people with type 2 diabetes.
By synthesizing multiple studies, the authors show that SARS-CoV-2 profoundly disrupts metabolic balance.
One consistent finding after infection?
Decreases in HDL, LDL, and total cholesterol,
variable changes in triglycerides
These shifts are not random.
They closely track with inflammation and disease severity.
Read 14 tweets
Feb 18
Researchers looked at markers of cellular and mitochondrial damage in the blood of people with Long COVID and linked them to cognition, psychological distress, and inflammation. They identified several surprising associations🧵
Finding 1. Long COVID = lower relative ccf-mtDNA
At first glance, this is surprising.
People usually expect - mitochondrial damage - more mtDNA released into blood.
But here, researchers found lower relative levels.
But this does not necessarily mean less damage.
It likely reflects dysregulation of mitochondrial quality control (mitophagy).
Read 14 tweets

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