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Record W2181958338 · doi:10.1113/jp270925

Rigid and remodelled: cerebrovascular structure and function after experimental high‐thoracic spinal cord transection

2015· article· en· W2181958338 on OpenAlexafffund
Aaron A. Phillips, Nusrat Matin, B. Frias, Melanie Zheng, Ming-Hao Jia, Christopher R. West, Anne M. Dorrance, Ismail Laher, Andrei V. Krassioukov

Bibliographic record

VenueThe Journal of Physiology · 2015
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsGF Strong Rehabilitation CentreUniversity of British ColumbiaInternational Collaboration On Repair DiscoveriesVancouver Coastal Health
FundersNational Institute of General Medical SciencesCanadian Institutes of Health Research
KeywordsMedicineElectrical impedance myographySpinal cordSpinal cord injuryInternal medicineBasilar arteryCardiologyAnatomyCerebral arteriesEndocrinologyAnesthesiaVasodilation

Abstract

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Key Points Spinal cord injury (SCI) is associated with a 3–4 fold increased risk of stroke, and impaired cerebral blood flow regulation, although the effect of SCI on the structure and function of the cerebral arteries is unclear. Using pressure myography to assess isolated vessels distended at physiological pressures, we provide novel evidence that experimental SCI leads to inward cerebrovascular remodelling, increased stiffness and impaired reactivity of the largest cerebral artery. Histochemical analyses revealed that a profibrotic environment within the largest cerebral artery occurs after SCI, which was characterized by greater collagen and less elastin. This may be due to increased transforming growth factor β, a well‐known profibrotic signalling protein. Further analysis revealed that profibrotic alterations were not due to disruption of descending sympathetic pathways to the cerebrovasculature. Experimental SCI exerts a deleterious influence on the structure and function of cerebral arteries, which may underlie the increased risk of stroke and impaired cerebral blood flow regulation. Abstract High‐thoracic or cervical spinal cord injury (SCI) is associated with several critical clinical conditions related to impaired cerebrovascular health, including: 300–400% increased risk of stroke, cognitive decline and diminished cerebral blood flow regulation. The purpose of this study was to examine the influence of high‐thoracic (T3 spinal segment) SCI on cerebrovascular structure and function, as well as molecular markers of profibrosis. Seven weeks after complete T3 spinal cord transection (T3‐SCI, n = 15) or sham injury (Sham, n = 10), rats were sacrificed for either middle cerebral artery (MCA) structure and function assessments via ex vivo pressure myography, or immunohistochemical analyses. Myogenic tone was unchanged, but over a range of transmural pressures, inward remodelling occurred after T3‐SCI with a 40% reduction in distensibility (both P < 0.05), and a 33% reduction in vasoconstrictive reactivity to 5‐HT trending toward significance (P = 0.09). After T3‐SCI, the MCA had more collagen I (42%), collagen III (24%), transforming growth factor β (47%) and angiotensin II receptor type 2 (132%), 27% less elastin as well as concurrent increased wall thickness and reduced lumen diameter (all P < 0.05). Sympathetic innervation (tyrosine hydroxylase‐positive axon density) and endothelium‐dependent dilatation (carbachol) of the MCA were not different between groups. This study demonstrates profibrosis and hypertrophic inward remodelling within the largest cerebral artery after high‐thoracic SCI, leading to increased stiffness and possibly impaired reactivity. These deleterious adaptations would substantially undermine the capacity for regulation of cerebral blood flow and probably underlie several cerebrovascular clinical conditions in the SCI population.

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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.041
GPT teacher head0.359
Teacher spread0.318 · 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

Citations35
Published2015
Admission routes2
Has abstractyes

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