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Record W7133034678

Effects of Hypoxia on Drug Transport in the Developing Human Blood-brain Barrier: Implications for Fetal Brain Protection

2023· dissertation· W7133034678 on OpenAlexaff
Hafsah Mughis

Bibliographic record

VenueTSpace · 2023
Typedissertation
Language
FieldMedicine
TopicDrug Transport and Resistance Mechanisms
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHypoxia (environmental)FetusAbcg2TransporterDrugBlood–brain barrierPlacentaP-glycoproteinHuman brain
DOInot available

Abstract

fetched live from OpenAlex

P-glycoprotein (P-gp) and Breast Cancer Resistance Protein (BCRP) are two multidrug resistance transporters expressed at the blood-brain barrier (BBB). They confer protection against entry of harmful molecules into the fetal brain. The fetus develops under relatively low oxygen concentrations; however, pregnancy disorders may lead to even lower intrauterine oxygen levels. We investigated the effects of hypoxia on transporter expression in early- and mid-gestation human fetal brain endothelial cells (hfBECs). Results indicate a decrease in BCRP protein and activity under hypoxia in early-gestation hfBECs. Mid-gestation hfBECs exhibited an increase in P-gp and BCRP activity following hypoxia. These findings suggest a decrease in fetal brain protection in early-pregnancy, but a potential protective effect of the transporters at the BBB during mid-gestation, possibly modifying transfer of various substrates across the fetal BBB under hypoxia. Future studies are required to investigate the mechanisms by which hypoxia modulates P-gp and BCRP at the fetal BBB.

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 score0.003
Threshold uncertainty score0.009

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.324
Teacher spread0.303 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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