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Record W3187299535 · doi:10.3390/ecb2021-10306

Neuroprotective Therapies in Spinal Cord Injury, the First and Necessary Step towards the Cure.

2021· article· en· W3187299535 on OpenAlexaff
Jacek M. Kwiecień

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsMcMaster UniversityHamilton Health SciencesMcMaster University Medical Centre
Fundersnot available
KeywordsAstrogliosisInflammationSpinal cordMedicineNeuroprotectionSpinal cord injuryCordPathologyWhite matterGliosisImmunologyCentral nervous systemSurgeryInternal medicineMagnetic resonance imaging

Abstract

fetched live from OpenAlex

A trauma to the spinal cord involves the massive injury to the white matter and initiates a severe, destructive and extraordinarily protracted inflammation characterized by heavy infiltration by CD68+/CD163-, inflammatory macrophages. Post-traumatic destruction of the spinal cord by phagocytic macrophages along with a marked elevation of pro-inflammatory cytokines, including IFN-γ, IL-1α, IL-1β, IL-6 and of chemokines indicates the need for anti-inflammatory therapies to inhibit and eliminate these damaging processes and to result in neuroprotection. In a rat model of the balloon crush over the mid-thoracic spinal cord from the 3Fogarty catheter placed epidurally a deep area of necrosis and hemorrhage resulting from the trauma is converted into a cavity of injury (COI) filled by necrotic debris and hemorrhage and filling up with excess edema fluid. The COI is defined by progressively severe astrogliosis forming a wall whose thickness grows with a progressive lowering of the numbers of phagocytic macrophages beyond 16 weeks post-SCI. An area of necrosis that is superficial with disruption of a wide area of the surface of the spinal cord, it becomes invaded by granulomatous inflammation from the sub-arachnoid space including macrophages, fibroblasts and blood vessels. The expansion of this type of inflammation, called arachnoiditis, is counteracted by a progressively severe astrogliosis and in time it is often separated from the spinal cord by liquid-containing cystic spaces not unlike the COI. A macrophage count in the COI test has been developed to measure the severity of inflammation and also, to measure the anti-inflammatory effect of a candidate treatment. It involves counting phagocytic macrophages in a standardized fashion at the margin of the COI in consecutive sections of the spinal cord stained with luxol fast blue and haematoxylin and eosin (LFB+H&E). This new analytic method allowed for detection of a powerful anti-inflammatory effect of dexamethasone and two Myxomavirus-derived proteins, Serp-1, with anti-thrombotic/anti-thrombolytic action, and M-T7, a chemokine inhibitor. Each of these 3 agents were administered by a continuous subdural infusion in the vicinity of the SCI for one week and resulted in lowering of the numbers of macrophages by 50-80% with remarkable slowing down of the phagocytosis of myelin-rich necrotic debris and hemorrhages in the COI, indicating the need for much longer administration to eliminate the debris by drug-reduced phagocytosis. While administration of dexamethasone has proven to result in severe toxicity leading to shock, both viral proteins were well tolerated. Continuous subdural administration of Serp-1 for 8 weeks resulted in elimination of phagocytic macrophages from the COI. This is the first pre-clinical study demonstrating that an anti-inflammatory treatment can effectively shorten the inflammatory disease and result in neuroprotection. The inhibition and elimination of severe, destructive inflammation post-SCI is the first and necessary step in a multistep therapy leading to the cure of severe spinal cord trauma. Once inflammation is eliminated, implantation of a bridge into the COI that will support axonal regeneration in neuroregenerative therapies can be contemplated.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0060.003

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 head0.063
GPT teacher head0.376
Teacher spread0.313 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2021
Admission routes1
Has abstractyes

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