The Effects of Sepsis on Osmosensory Neurons Mediating Thirst
Bibliographic record
Abstract
The ability of osmosensory neurons within the hypothalamus to sense changes in blood osmolality is essential for maintaining hydromineral homeostasis. Typically, an increase in blood osmolality excites the osmosensitive neurons of the organum vasculosum of the lamina terminalis (OVLT), which then stimulate neural pathways to induce thirst sensation. Patient studies show that thirst is depressed in sepsis, a deadly disease defined by the systemic inflammatory response to a severe infection, and that this impairment may be due to a deficit in the osmoregulatory pathway. Using the rat cecal‐ligation and puncture (CLP) sepsis model, we tested the hypothesis that sepsis impairs osmotically‐induced thirst and that this is due to changes in osmosensory OVLT neuron properties. Septic rats did indeed drink significantly less under systemic hypertonic conditions (CLP 4.2 ± 0.58mL; controls 16.4 ± 1.8mL; p < 0.001). Electrophysiological recordings of acute in vitro hypothalamic preparations show that septic OVLT neurons are quiescent due to their hyperpolarized state (CLP −47.9 ± 2.4mV; controls −41.0 ± 2.2mV; p = 0.02). Furthermore, they display an impaired increase in firing rate in response to hypertonicity (CLP 0.1 ± 0.05Hz; controls 0.52 ± 0.18Hz; p < 0.01). These results imply that the CLP rat model mimics the human septic condition, and provide a platform to further our understanding of how central osmoregulation and osmotic thirst are perturbed at a cellular and molecular level in sepsis.
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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) | 0.001 | 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".