Real-Time Monitoring of Mitochondrial NADH and Microcirculatory Blood Flow in the Spinal Cord
Bibliographic record
Abstract
STUDY DESIGN: We developed a real-time, in vivo monitoring system for the evaluation of spinal cord viability in rats during spinal cord ischemia. OBJECTIVE: The aim of the present study was to apply a real-time multiparametric monitoring system in a rat spinal cord model exposed to ischemia or mechanical compression. SUMMARY OF BACKGROUND DATA: The evaluation of spinal cord integrity during spine surgeries is highly important, as it enhances the potential to prevent secondary irreversible damage to the spinal cord tissue. Mitochondrial NADH redox state is the most sensitive parameter for tissue oxygenation state and, together with microcirculatory blood flow, can estimate the metabolic status of the spinal cord tissue. METHODS: We applied the Tissue Vitality Monitoring System (TVMS) that includes optical fibers for the simultaneous monitoring of the spinal cord blood flow (SCBF) using laser Doppler flowmetry, and the mitochondrial NADH fluorescence using the fluorometric technique. Additionally, systemic arterial blood pressure was measured. Two models involving the interruption of the spinal blood flow were tested: the occlusion of the abdominal aorta (ischemia) and spine mechanical compression. RESULTS: The results clearly demonstrated the link between the level of ischemia and the viability state of the spinal tissue. When SCBF decreased, in both experimental models, mitochondrial NADH was elevated, while reperfusion was associated with NADH oxidation. Nevertheless, during the recovery phase, even though SCBF significantly increased (became hyperemic), no further oxidation of NADH was observed. CONCLUSION: The monitoring of the mitochondrial function together with SCBF by the TVMS reflects the viability of the spinal cord tissue and, together with the conventional monitoring techniques, may help to evaluate the spine conditions, especially under surgical procedures involving the deterioration of the spinal cord blood supply.
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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".