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Record W2756419493

Extracellular Fluid Systems in the Brain and the Pathogenesis of Hydrocephalus

2010· dissertation· en· W2756419493 on OpenAlexfundno aff
Gurjit Nagra

Bibliographic record

VenueTSpace · 2010
Typedissertation
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsPathogenesisHydrocephalusExtracellularExtracellular fluidNeuroscienceMedicineCerebrospinal fluidPathologyBiologyCell biologySurgery
DOInot available

Abstract

fetched live from OpenAlex

Fundamental questions related to the locations of Cerebrospinal Spinal Fluid (CSF) absorption deficit and causes of the pressure gradients that expand the ventricles with hydrocephalus remain largely unanswered. Work in the Johnston lab over a 15 year period has demonstrated that CSF moves through the cribriform plate foramina in association with the olfactory nerves and is absorbed by a network of lymphatic vessels located within the olfactory turbinates. A kaolin-based rat model of communicating hydrocephalus was developed as a collaborative effort with Drs. McAllister, Wagshul and Li. After developing a method to quantify lymphatic CSF uptake in rats, we examined and observed that the movement of a radioactive tracer into the nasal turbinates was significantly reduced in the kaolin-injected animals compared to saline injected controls. However, it was possible that while lymphatic CSF uptake was compromised, other CSF absorption pathways may have compensated. To answer this, we measured the CSF outflow resistance (Rout) and observed it to be significantly greater in the kaolin group compared with animals receiving saline and there was a significant positive correlation between CSF Rout and ventricular volume. Nonetheless, it is not clear how impaired CSF clearance could lead to a dilation of the ventricles since the ventricular and subarachnoid compartments are in communication with one another and pressure would likely increase equally in both. At this point, we came across a theoretical paper that postulated that a drop in periventricular interstitial fluid pressure might provide an intraparenchymal pressure gradient favouring ventricular expansion. In addition, studies in non-CNS tissues indicated that a disruption of beta-1 (β1) integrin-matrix interactions could lower tissue pressure. Based on these suppositions and data, we examined if these concepts had relevance to the brain. For this, we measured pressure in the brain and observed a decline in periventricular pressures to values significantly below those monitored in the ventricular system following the injection of the anti integrin antibodies. Many of the animals developed hydrocephalus over 2 weeks post antibody injection. These data provide a novel mechanism for the generation of intraparenchymal pressure gradients that is likely contributing to ventricular expansion.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.290
Teacher spread0.272 · 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 designTheoretical or conceptual
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

Citations0
Published2010
Admission routes1
Has abstractyes

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