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Record W2413736516 · doi:10.5966/sctm.2015-0295

Early Intravenous Delivery of Human Brain Stromal Cells Modulates Systemic Inflammation and Leads to Vasoprotection in Traumatic Spinal Cord Injury

2016· article· en· W2413736516 on OpenAlexafffund
Anna Badner, Reaz Vawda, Alex M. Laliberté, James Hong, Mirriam Mikhail, A. Seoane Jose, Rachel Dragas, Michael G. Fehlings

Bibliographic record

VenueStem Cells Translational Medicine · 2016
Typearticle
Languageen
FieldMedicine
TopicMesenchymal stem cell research
Canadian institutionsToronto Western HospitalUniversity of TorontoUniversity Health Network
FundersCanadian Institutes of Health Research
KeywordsMedicineSystemic inflammationInflammationSpinal cord injuryStromal cellCytokineSpleenPopulationPathologyMesenchymal stem cellImmunologySpinal cord

Abstract

fetched live from OpenAlex

UNLABELLED: : Spinal cord injury (SCI) is a life-threatening condition with multifaceted complications and limited treatment options. In SCI, the initial physical trauma is closely followed by a series of secondary events, including inflammation and blood spinal cord barrier (BSCB) disruption, which further exacerbate injury. This secondary pathology is partially mediated by the systemic immune response to trauma, in which cytokine production leads to the recruitment/activation of inflammatory cells. Because early intravenous delivery of mesenchymal stromal cells (MSCs) has been shown to mitigate inflammation in various models of neurologic disease, this study aimed to assess these effects in a rat model of SCI (C7-T1, 35-gram clip compression) using human brain-derived stromal cells. Quantitative polymerase chain reaction for a human-specific DNA sequence was used to assess cell biodistribution/clearance and confirmed that only a small proportion (approximately 0.001%-0.002%) of cells are delivered to the spinal cord, with the majority residing in the lung, liver, and spleen. Intriguingly, although cell populations drastically declined in all aforementioned organs, there remained a persistent population in the spleen at 7 days. Furthermore, the cell infusion significantly increased splenic and circulating levels of interleukin-10-a potent anti-inflammatory cytokine. Through this suppression of the systemic inflammatory response, the cells also reduced acute spinal cord BSCB permeability, hemorrhage, and lesion volume. These early effects further translated into enhanced functional recovery and tissue sparing 10 weeks after SCI. This work demonstrates an exciting therapeutic approach whereby a minimally invasive cell-transplantation procedure can effectively reduce secondary damage after SCI through systemic immunomodulation. SIGNIFICANCE: Central nervous system pericytes (perivascular stromal cells) have recently gained significant attention within the scientific community. In addition to being recognized as major players in neurotrauma, pericytes have been discovered to share a common origin and potentially function with traditionally defined mesenchymal stromal cells (MSCs). Although there have been several in vitro comparisons, the in vivo therapeutic application of human brain-derived stromal cells has not been previously evaluated. This study demonstrates that these cells not only display a MSC phenotype in vitro but also have similar in vivo immunomodulatory effects after spinal cord injury that are more potent than those of non-central nervous system tissue-derived cells. Therefore, these cells are of great interest for therapeutic use in spinal cord injury.

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 head0.033
GPT teacher head0.304
Teacher spread0.271 · 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

Citations63
Published2016
Admission routes2
Has abstractyes

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