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Rewiring of spinal respiratory neural network via cervical glutamatergic interneurons preserves respiratory function in progressive cervical spinal cord compression injury (CSM)

2016· article· en· W4389007884 on OpenAlexaff
Kajana Satkunendrarajah, Spyridon K. Karadimas, Mohammad Rasool Khazaei, Patricia Samson, Michael G. Fehlings

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience of respiration and sleep
Canadian institutionsUniversity of TorontoKrembil Foundation
FundersParalyzed Veterans of America
KeywordsGlutamatergicSpinal cordRespiratory systemNeuroscienceMedicineSpinal cord injuryAnatomyBiologyInternal medicineGlutamate receptor

Abstract

fetched live from OpenAlex

Cervical spinal cord injury (SCI) disrupts the spinal respiratory neural circuitry leading to the loss of diaphragmatic and intercostal muscle function. While acute traumatic SCI leads to significant ventilatory impairment, CSM, in which the cervical spinal cord is progressively compressed over time, results in milder respiratory dysfunction despite the significant disruption of the cervical neural network. The chronic and progressive nature of this disease modifies the respiratory neural network to limit respiratory insufficiency. Using a unique mouse animal model of CSM, we found a significant loss of PMNs (retrograde labeled with CTb) that innervate the main inspiratory muscle, yet these animals do not exhibit severe respiratory insufficiency similar to what is observed in human CSM patients. Progressively increased Vglut2 positive boutons on the preserved PMNs indicates that despite the significant loss in the number of PMNs, respiratory motor output is maintained via compensatory and progressive increases in glutamatergic input onto preserved PMNs. While the PMNs were decreased following CSM there was an increase in the number of prephrenic cervical interneurons labeled with pseudorabies virus‐152 (PRV‐152). We set out to specifically delineate the extent of glutamatergic presynaptic inputs directly arising from rVRG neurons and those that are relayed via prephrenic cervical interneurons in CSM. To assess direct monosynaptic excitatory glutamatergic projections arising directly from rVRG and cervical spinal cord onto PMNs, a modified rabies virus (Rb) missing the glycoprotein but carrying a GFP protein (Rb‐ΔG‐GFP) with adeno associated virus expressing the Rabies‐Glycoprotein (RG, essential for subsequent trans‐synaptic transfection), was injected into the diaphragm of CSM and sham Vglut2::cre;tdtomato mice. We observe significantly altered input from glutamatergic monosynaptic inputs from rVRG neurons and those from prephrenic cervical interneurons onto PMNs during CSM. In conclusion, this study provides novel insights into the alterations in spinal respiratory networks that occur in the setting of CSM and a greater understanding of the neural control of breathing and the compensatory changes that occur in neural circuits with chronic, graduated compression. Support or Funding Information PVA

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.058
GPT teacher head0.318
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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