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%!
What also stands out is that nearly 30% of cases still had symptoms more than 6 months later.
Even more importantly, the symptom pattern itself seems to shift depending on the variant. Pre-Omicron infections were more strongly linked with shortness of breath and loss of smell, while Omicron was more associated with brain fog and paresthesia.
One of the key findings from the paper is that neurotropism appears to persist into the Omicron era. Long COVID did not disappear, and neurological and cognitive symptoms remained a prominent part of its presentation, even as the broader symptom profile evolved across variants and over time.
One very consistent finding was that fatigue remained the most common symptom across variants and across follow-up periods. Other frequent symptoms included brain fog, shortness of breath, and sleep problems.
Another striking point is that when the authors compared people assessed within 6 months versus after 6 months, the overall prevalence did not really drop much. About 27.3% vs 29.9%.
So at the level of pooled data, there was no clear sign that long COVID simply fades away with time. That matters, because it pushes back against the assumption that most people will automatically recover if they just wait long enough.
The symptom profile also seemed to evolve over time. In the earlier period, symptoms such as sleep disturbances, headache, and to some extent skin-related symptoms were more common. In longer follow-up, malaise and difficulty swallowing became more prominent.
The authors suggest this could reflect later-developing systemic or autonomic effects, meaning long COVID may be more than just the tail end of an acute infection. It may actually change form over time!
The highest overall prevalence appeared in people with pre-Omicron infections assessed within 6 months, at around 42.4%. The lowest was in Omicron cases assessed within 6 months, at around 18.5%. But the symptom patterns were quite distinct.
Early pre-Omicron cases had more sleep problems and headaches,
longer-term pre-Omicron cases had more shortness of breath, smell loss, runny nose, malaise, eye symptoms, nausea, and swallowing difficulties,
while early Omicron cases showed more brain fog and paresthesia.
That may be the most compelling finding of the whole paper. Pre-Omicron long COVID seems more respiratory and sensory, while Omicron-related long COVID looks more neurocognitive and systemic.
This could matter clinically! Follow-up and care might need to be more targeted depending on which variant likely caused the infection.
The paper challenges the idea that long COVID is a fixed syndrome. Instead, the authors describe it as a dynamic and heterogeneous condition, shaped by viral evolution, host immunity, and time since infection.
Yes, the study has some limitations. A lot of the data came from self-reported symptoms, which can introduce bias. In many studies, the variant was not confirmed by genomic sequencing, but inferred from the time period in which infection occurred.
Lugtu at al., Prevalence of Post-COVID Symptoms Across Variants of Concern and Follow-up Periods: A Systematic Review and Meta-Analysis. ijidonline.com/article/S1201-…
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.
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
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.