Cell‐specific effects of nitric oxide on the efficiency and frequency of long distance contractions in murine colon
Bibliographic record
Abstract
BACKGROUND: Nitric oxide (NO) mediates inhibitory neurotransmission and is a critical component of neuronal programs that generate propulsive contractions. NO acts via its receptor NO-sensitive guanylyl cyclase (NO-GC) which is expressed in smooth muscle cells (SMC) and interstitial cells of Cajal (ICC). Organ bath studies with colonic rings from NO-GC knockout mice (GCKO) have indicated NO-GC to modulate spontaneous contractions. The cell-specific effects of NO-GC on the dominant pan-colonic propulsive contraction, the long distance contractions (LDCs), of whole colon preparations have not yet been described. METHODS: Contractions of whole colon preparations from wild type (WT), global, and cell-specific GCKO were recorded. After transformation into spatiotemporal maps, motility patterns were analyzed. Simultaneous perfusion of the colon enabled the correlation of outflow with LDCs to analyze contraction efficiency. KEY RESULTS: Deletion of NO-GC in both ICC and SMC (ie, in GCKO and SMC/ICC-GCKO) caused loss of typical LDC activity and instead generated high-frequency LDC-like contractions with inefficient propulsive activity. Frequency was also increased in WT, SMC-GCKO, and ICC-GCKO colon in the presence of L-NAME to block neuronal NO synthase. LDC efficiency was dependent on NO-GC in SMC as it was reduced in GCKO, SMC-GCKO, and ICC/SMC-GCKO colon; LDC efficiency was decreased in all genotypes in the presence of L-NAME. CONCLUSIONS AND INFERENCES: NO/cGMP signaling is critical for normal peristaltic movements; as NO-GC in both SMC and ICC is essential, both cell types appear to work in synchrony. The efficiency of contractions to expel fluid is particularly influenced by NO-GC in SMC.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".