New Mayo Clinic study.
Brain hypometabolism in long COVID still showing up 2 years post-infection. This finding keeps replicating. It matters clinically. But there’s a lot worth unpacking. 🧵
Reduced brain metabolic activity in LC isn’t a one-lab quirk. Guedj 2021, a French multicenter study across three centers (n=143), pediatric case series - it keeps showing up across countries and cohorts.
And unlike standard MRI, which usually comes back normal in LC patients, PET is actually catching something. That gap - normal MRI, abnormal PET - is exactly why this modality matters here.
What does hypometabolism actually mean? Lower glucose uptake = lower neuronal activity. In other studies it maps directly onto symptoms - cingulate cortex onto cognitive dysfunction, brainstem/cerebellum onto overall symptom burden. This isn’t abstract.
What this study specifically adds?
A well phenotyped cohort split explicitly by PEM.
And the signal concentrates almost entirely in the PEM subgroup.
The non-PEM patients look close to normal - Z-scores near zero, some even positive.
The whole effect is driven by the PEM phenotype. That’s actually the stronger claim. Not LC = hypometabolism but - PEM specifically correlates with it.
For anyone tracking the LC-as-spectrum debate, this is a meaningful data point!
Median time from infection to scan 62 weeks. Max 149 weeks - nearly 3 years out. Still showing up.
No longitudinal scans. Persists here means - even late stage patients still show the finding. Not that we watched it fail to resolve in the same person. Real limitation. But it doesn’t make the observation less serious.
If anything it sharpens the question - what fraction of patients normalize, what fraction don’t, and what predicts which?
The most robust finding - surviving even strict multiple comparison correction - is bilateral primary visual cortex hypometabolism.
Not the cingulate, not the hippocampus. The visual cortex. Surprising at first glance.
Primary visual cortex is one of the most metabolically hungry regions in the brain. And photosensitivity, visual fatigue, sensory overload - these are well documented in LC. There’s a recurring hypothesis in research around impaired sensory gating. The brain losing its ability to efficiently filter incoming stimuli, making sensory processing disproportionately costly.
Patients who crash after reading or screen time aren’t imagining it. Whether this is cause or effect is genuinely unclear - but the anatomy fits and it deserves dedicated follow-up.
One methodological flag. The study normalizes everything to the pons. Standard for neurodegeneration.
But Guedj 2021 and others describe pons/brainstem hypometabolism as part of the LC pattern itself. Normalizing to a region that may itself be compromised shifts every single Z-score derived from it.
It could partly explain why the Mayo pattern (sensorimotor, parietal, visual cortex) looks different from Guedj’s (olfactory, limbic, brainstem). Different methods, different cohorts, or a normalization artifact inflating some regions and masking others. That needs direct comparison in future work.
Sum:
Brain hypometabolism in LC is real, replicated, and clinically significant. This study adds PEM specific signal and persistence data. The bilateral visual cortex finding is the most robust result and deserves follow-up. The pons normalization question is open.
The scans span 4 months to almost 3 years post-infection. Nobody in this dataset looks like they’ve bounced back. We’ve known since the HIV/HAND era that viruses can leave lasting neurological footprints. That lesson took too long to learn the first time.
Ganesh at al., Persistent Cerebral 18-FDG PET Changes in Patients With Long COVID Presenting With Fatigue and Post Exertional Malaise. journals.sagepub.com/doi/10.1177/21…
• • •
Missing some Tweet in this thread? You can try to
force a refresh
Could the real trigger for Long COVID POTS be the immune system mistaking your own cells for the enemy? A new preprint makes the case that monocyte oxidative stress - not lingering virus - keeps the immune system switched on. Vanderbilt, 25 patients vs 15 recovered. 🧵
The headline finding.
Patients carry about 3× more doublets in their blood - T cells and monocytes stuck together. These used to get written off as a lab artifact. Turns out they're real, functional contacts where the cells are actively talking to each other. The body is working on something.
How do they know it's a real contact and not two cells bumping?
A technique called FRET, which measures whether two molecules are genuinely pressed together at the nanometer scale. The T cell's receptor and the molecule feeding it an antigen are sitting right on top of each other. That's a snapshot of active immune signaling, not coincidence.
Independent virus families - different genomes, life cycles, target tissues - keep ending up at the same two points in the brain. They switch on the same inflammation machinery, and they jam the cell's protein clean up system. If so, the damage is mostly the body's reaction, not the virus itself. 🧵
This is the core argument of a new review - one of the few that looks at post-viral brain symptoms through mechanisms shared across many viruses, instead of one virus at a time.
Why that's interesting?
The proteins come from completely unrelated viruses - COVID (the spike S1, N protein), the flaviviruses (dengue, West Nile, Japanese encephalitis), and influenza. Nothing about them predicts a shared effect on the brain - yet it shows up anyway.
A multi-omics paper on long COVID in Frontiers in Immunology deserves more attention than it got. The through-line is uncomfortable - the cellular power supply stays switched off long after the acute phase is over.🧵
It's an integration of existing public datasets under one roof. Syrian hamsters (muscle, heart, kidney, lung, 8 brain regions, out to 61 days post-infection) + human cohorts - immune cells, muscle biopsies, autopsy brain, and longitudinal serum stretching to 24 months. Different tissues, different species.
The recurring signal - suppressed OXPHOS - the mitochondrial machinery that makes ~90% of your ATP - paired with ongoing immune activation. Hamster or human. Heart or brain. Same story.
How many Americans died who wouldn't have - if America were France or Japan?
The answer - 14.7 million over the past four decades.
And that number is still climbing🧵
This comes from a study published in 2025 in JAMA Health Forum (Bor et al.). The researchers compared US death rates to 21 other wealthy countries - Canada, Japan, Germany, France, the UK and more - from 1980 through 2023.
The method is pretty clever. Take the age-specific death rates of other rich countries, apply them to the US population, and see how many Americans would have died if the US were just a normal wealthy nation.
The gap = excess deaths.
A new review pulls the neurobiology of Long COVID into a pretty strong map.
Neuroinflammation here is not treated as one isolated process. It’s the place where viral persistence, glia, BBB, blood vessels, mast cells, vagus nerve, metabolism, and unstable brain networks all meet🧵
A genuinely interesting study.
Researchers from Johns Hopkins looked at how SARS2 infection changes the cardiac autonomic nervous system - how the heart is regulated through the sympathetic and parasympathetic branches.
It’s not one fixed state.
It’s a process.
In three phases🧵
Why does this matter?
Because dysautonomia is one of the common features of Long COVID -
palpitations, dizziness, fatigue, orthostatic intolerance, POTS etc
The autonomic nervous system helps regulate heart rate, blood pressure, breathing, digestion, the body’s ability to adapt to stress.
This wasn’t a human study.
It was a hamster model of COVID-19.
So researchers can follow the infection very closely, repeatedly, at precise time points.
Translation to humans is always limited.
A hamster is not a human - even if some models would like to be.