Examining the Effects of Cold on Gut Epithelial Permeability in Locusta migratoria
Bibliographic record
Abstract
When exposed to temperatures below their minimum tolerable temperature, the majority of insects succumb to a comatose state.If the exposure is relatively mild or brief, they are able to recover from this chill coma.However, in the event of harsh or prolonged cold stress, an accumulation of cold-induced tissue damage occurs and can ultimately result in mortality.These chill injuries have been consistently associated with a loss of organismal ion balance that occurs at low temperatures.In Drosophila, this imbalance is hypothesized to occur at least partly due to a cold-induced disruption of epithelial barriers along the paracellular pathway.However, the specific location of these barrier failures, and their role in solute leak, remain unknown.The primary goal of my research was therefore to use the migratory locust (Locusta migratoria) to investigate the relationships among chilling injury, ionoregulation, and gut barrier integrity in the cold.In Chapter 2, I used a fluorophore (FITC-dextran) to quantify paracellular leak across the gut epithelia, in both the serosal-mucosal and mucosal-serosal directions.Interestingly, leak appears to be unidirectional, favouring the mucosal to serosal route of movement in the cold.I then investigated the origin of barrier failure along the gut using FITC-dextran, although no differences were found between rates of FITC-dextran leak in the cold and under control conditions.As a whole, these data generate exciting new hypotheses regarding the mechanisms of cold-induced barrier failure.In Chapter 3, I explored the use of a second marker of paracellular permeability (mPEG-FITC) for quantifying epithelial permeability in locusts.Here, I provide evidence which suggests that mPEG-FITC is not a suitable marker of permeability, at least in locusts.It is my hope that together, these experiments will enhance not only our understanding of the underlying physiological mechanisms of chill susceptibility and tolerance, but will also expand our knowledge of insect paracellular barriers in groups other than Diptera.
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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 | 0.000 |
| 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".