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Record W4404706850 · doi:10.1089/neu.2024.0233

Identification of a Therapeutic Window for Neurovascular Unit Repair after Experimental Spinal Cord Injury

2024· article· en· W4404706850 on OpenAlexaff
Vanessa Hubertus, Léa Meyer, Lilly Waldmann, Laurens Roolfs, Nima Taheri, Katharina Kersting, E. von Bronewski, Melina Nieminen-Kelhä, Irina Kremenetskaia, Christian Uhl, K. Fiedler, Jan-Erik Ode, André Rex, Harald Prüß, Asylkhan Rakhymzhan, Anja E. Hauser, Raluca Niesner, Frank L. Heppner, Michael G. Fehlings, Peter Vajkoczy

Bibliographic record

VenueJournal of Neurotrauma · 2024
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsToronto Western HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsNeurovascular bundleSpinal cord injuryMedicineTherapeutic windowSpinal cordIdentification (biology)AnesthesiaSurgeryBiology

Abstract

fetched live from OpenAlex

Traumatic spinal cord injury (SCI) is a devastating condition for which effective neuroregenerative and neuroreparative strategies are lacking. The post-traumatic disruption of the blood–spinal cord barrier (BSCB) as part of the neurovascular unit (NVU) is one major factor in the complex pathophysiology of SCI, which is associated with edema, inflammation, and cell death in the penumbra regions of the spinal cord adjacent to the lesion epicenter. Thus, the preservation of an intact NVU and vascular integrity to facilitate the regenerative capacity following SCI is a desirable therapeutic target. This study aims to identify a therapeutic window of opportunity for NVU repair after SCI by characterizing the timeframe of its post-traumatic disintegration and reintegration with implications for functional spinal cord recovery. Following thoracic clip-compression SCI or sham injury, adult C57BL/6J mice were followed up from one to 28 days. At one, three, seven, 14, and 28 days after SCI/sham, seven-Tesla magnetic resonance imaging (MRI), neurobehavioral analysis (Basso mouse scale, Tally subscore, CatWalk® gait analysis), and following sacrifice immunohistochemistry were performed, assessing vessel permeability via Evans blue (EVB) extravasation, (functional) vessel density, and NVU integrity. Thy1-yellow fluorescent protein+ mice were additionally implanted with a customized spinal window chamber and received longitudinal in vivo two-photon excitation imaging (2PM) with the injection of rhodamine-B-isothiocyanate-dextran for the combined imaging of axons and vasculature up to 14 days after SCI/sham injury. Post-traumatic edema formation as assessed by MRI volumetry peaked at one to three days after injury, while EVB permeability quantification revealed a thoroughly injured BSCB up to 14 days after SCI. Partial regeneration of functional vasculature via endogenous revascularization was detected after one to four weeks, however, with only 50–54% of existing vessels regaining functional perfusion. Longitudinal in vivo 2PM visualized the progressive degeneration of initially preserved spinal cord axons in the peri-traumatic zone after SCI while displaying a rarefication of functionally perfused vessels up to two weeks after injury. Neurobehavioral recovery started after one week but remained impaired over the whole observation period of four weeks after SCI. With this study, a therapeutic window to address the impaired NVU starting from the first days to two weeks after SCI is identified. A number of lines of evidence including in vivo 2PM, assessment of NVU integrity, and neurobehavioral assessments point to the critical nature of targeting the NVU to enhance axonal preservation and regeneration after SCI. Continuous multifactorial therapy applications targeting the integrity of the NVU over the identified therapeutic window of opportunity appears promising to ameliorate functional vessel perseverance and the spinal cord’s regenerative capacity.

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 score0.005

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)0.0020.000

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 head0.123
GPT teacher head0.447
Teacher spread0.324 · 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

Citations6
Published2024
Admission routes1
Has abstractyes

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