Astrogliosis Marker [11C]SL25.1188 After COVID-19 With Ongoing Depressive and Cognitive Symptoms
Bibliographic record
Abstract
Background After acute COVID-19, 5% of people experience persistent depressive symptoms and reduced cognitive function (COVID-DC). Theoretical models propose that astrogliosis is important in long COVID, but measures primarily indicative of astrogliosis have not been studied in the brain of long COVID or COVID-DC. The objective of the current study was to measure [ 11 C]SL25.1188 total distribution volume ([ 11 C]SL25.1188 V T ), an index of monoamine oxidase B density and a marker of astrogliosis, with positron emission tomography in participants with COVID-DC and compare with healthy control participants. Methods In 21 COVID-DC cases and 21 healthy control participants, [ 11 C]SL25.1188 V T was measured in the prefrontal cortex, anterior cingulate cortex, hippocampus, dorsal putamen, and ventral striatum. Depressive symptoms were measured with the Beck Depression Inventory-II, and cognitive symptoms were measured with neuropsychological tests. Results [ 11 C]SL25.1188 V T was higher in participants with COVID-DC in the prefrontal cortex, anterior cingulate cortex, hippocampus, dorsal putamen, and ventral striatum than in healthy control participants. Depressive symptom severity negatively correlated with [ 11 C]SL25.1188 V T across prioritized brain regions. More recent acute COVID-19 positively correlated with [ 11 C]SL25.1188 V T , reflecting higher values since predominance of the Omicron variant. Exploratory analyses found greater [ 11 C]SL25.1188 V T in the hippocampus, dorsal putamen, and ventral striatum of COVID-DC participants than control participants with a major depressive episode with no history of COVID-19, and there was no relationship to cognitive testing in prioritized regions. Conclusions Results strongly support the presence of monoamine oxidase B–labeled astrogliosis in COVID-DC throughout the regions assessed, although the association of greater astrogliosis with fewer symptoms raises the possibility of a protective role. The magnitude of astrogliosis in COVID-DC is greater since the emergence of the Omicron variant.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".