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Record W3187650545 · doi:10.26685/urncst.276

A Novel Method for Transplanting Astrocytes to Promote Recovery from Traumatic Brain Injury

2021· article· en· W3187650545 on OpenAlexaff
Swati Anant, Nicholas Lum, Tina Wu

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2021
Typearticle
Languageen
FieldNeuroscience
TopicAnesthesia and Neurotoxicity Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAstrocyteTraumatic brain injuryTransplantationNeuroinflammationMorris water navigation taskNeuroscienceWhite matterMedicineNeurotrophic factorsPsychologyInflammationInternal medicineCentral nervous systemMagnetic resonance imagingPsychiatryCognition

Abstract

fetched live from OpenAlex

Introduction: The recent increase in rates of traumatic brain injury (TBI) has sparked a large body of research into its pathophysiology. TBI is characterized as a disruption of brain function following various forms of trauma. Astrocytes, a class of glial cells, play a critical role in TBI recovery by regulating the homeostasis of ions, water and blood flow. The astrocytes produced in response to neuroinflammation can be subdivided into two categories:. A1 reactive astrocytes are produced in response to inflammation and have neurotoxic effects, while A2 astrocytes have been shown to upregulate neurotrophic factors that promote the survival and growth of neurons. This research protocol will outline a novel method for transplantation of A1 and A2 astrocytes in murine models of TBI to explore its potential as a therapeutic intervention. Methods: The procedure for astrocyte transplantation will involve inducing TBI within a cohort of mice, administering A1 and A2 astrocytes, and testing the behavioral and biological outcomes. These outcomes will be measured via the Morris Water Maze and staining methodologies that assess the structural integrity of the gray and white brain matter. The control group will be a cohort of mice receiving a sham operation. Results: We anticipate that the mice receiving A2 astrocyte transplants will perform better on the Morris Water Maze tests compared to those who received A1 astrocyte transplants. Additionally, these mice will have higher amounts of both gray and white matter in comparison to the A1 astrocytes transplant group. Sham mice are anticipated to have similar results to the A1 astrocyte transplant group, while A2 astrocyte transplantation is expected to have no effect on mice without TBI. Discussion: Results from the Morris Water Maze (MWM) will provide a functional assessment of the impact of astrocyte transplantation on TBI, and staining will provide a structural assessment on overall neurological health of the various cohorts of mice in this study. Future studies will be able to affirm the tangible processes that may influence the outcomes of astrocyte transplantation. Conclusion: This study will allow for a greater understanding of how astrocyte transplantation may benefit individuals who have suffered from TBI.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
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 score0.190
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.141
GPT teacher head0.461
Teacher spread0.320 · 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 teacher head, not a consensus.

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

Citations1
Published2021
Admission routes1
Has abstractyes

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