An optogenetic mouse model of hindlimb spasticity after spinal cord injury
Bibliographic record
Abstract
Spasticity is a common comorbidity of spinal cord injury (SCI), disrupting motor function and resulting in significant discomfort. While elements of post-SCI spasticity can be assessed using pre-clinical SCI models, the robust measurement of spasticity severity can be difficult due to its periodic and spontaneous appearance. Electrical stimulation of sensory afferents can elicit spasticity-associated motor responses, such as spasms; however, placing surface electrodes on the hindlimbs of awake animals can induce stress or encumbrance that could influence the expression of behaviour. Therefore, we have generated a mouse model of SCI-related spasticity that utilizes optogenetics to activate a subset of cutaneous VGLUT2+ sensory afferents to produce reliable incidences of spasticity-associated responses in the hindlimb. To examine the efficacy of this optogenetic SCI spasticity model, a T9-T10 complete transection injury was performed in Islet1-Cre+/-;VGLUT2-Flp+/-;CreON-FlpON-CatCh+/- mice, followed by the implantation of EMG electrodes into the left and right gastrocnemius and tibialis anterior muscles. EMG recordings were performed during episodic optogenetic stimulation (1-2 sessions per week until 5 weeks post-injury (wpi); n = 10 females, 5 males). A subset of these mice (n = 3 females, 2 males) was also tested at 10 wpi. During each recording session, an optic fiber coupled to a 470 nm wavelength LED was used to deliver 9 × 100 ms light pulses to the palmar surface of each hind paw. The results of these recordings demonstrated significant increases in the amplitude of EMG responses to the light stimulus from 2 wpi to 10 wpi, suggesting increased excitability of cutaneous sensorimotor pathways. Interestingly, this effect was significantly greater in the female cohort than in the males. Incidences of prolonged involuntary muscle contraction in response to the stimulus (fictive spasms) were also detected through EMG and visual observation during the testing period, supporting the presence of spasticity. As such, the optogenetic mouse model developed for this study appears to elicit spasticity-associated behaviours in SCI mice reliably and may be valuable for studying SCI-related limb spasticity mechanisms and therapeutic.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".