DYNAMIC CHANGES TO THE INTESTINAL ENVIRONMENT OCCUR THROUGHOUT RECOVERY FROM EXPERIMENTAL ISCHAEMIC STROKE
Bibliographic record
Abstract
ABSTRACT Stroke survivors experience a plethora of complications during recovery, including gastrointestinal symptoms. Intestinal dysfunction is reported to occur rapidly following stroke in both humans and animal models and alterations such as reduced barrier integrity, lymphocyte loss, and an altered microbiota have been suggested to contribute to poor neurological outcomes. Despite the persistence of gastrointestinal symptoms in many stroke survivors, how the intestinal environment changes over the course of stroke recovery remains poorly understood. Here, we use an experimental model of ischemic stroke to profile the gastrointestinal tract over a three month period of recovery.We have shown that experimental stroke leads to structural alterations to the colon, impaired transit times and an altered bacterial community composition. No impairments to barrier function were detected at any time point and transit times recover within 2 weeks post stroke. In contrast, structural and bacterial community alterations remain up to 3 months post stroke and are accompanied by abnormalities that develop only during chronic recovery, such as altered antibody coating of bacteria. These results suggest that the gastrointestinal system is dynamically altered over the course of experimental stroke recovery and that certain defects persist chronically after stroke.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".