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Record W7135954939

The iP-gp cell model is an improved tool for predicting the in vivo relevance of P-gp mediated efflux at the blood-brain barrier

2018· article· en· W7135954939 on OpenAlexaff
Burak Ozgür, Lasse Saaby, Elin Eneberg, Kristine Langthaler, Anne‐Marie Jacobsen, Christian Janfelt, Lassina Badolo, Dino Montanari, Birger Brodin

Bibliographic record

VenueResearch at the University of Copenhagen (University of Copenhagen) · 2018
Typearticle
Languageen
FieldMedicine
TopicDrug Transport and Resistance Mechanisms
Canadian institutionsBarrie Urology Group
Fundersnot available
KeywordsEffluxIn vivoCell cultureBlood–brain barrierIn vitroCellTransporterDrugTight junction
DOInot available

Abstract

fetched live from OpenAlex

The efflux transporter P-glycoprotein (P-gp, MDR1, ABCB1) is expressed in a number of barrier tissues in the human body, including the luminal membrane of the brain capillary endothelial cells that make up the blood-brain barrier (BBB). P-gp can actively transport a wide range of structurally diverse drug compounds against their concentration gradient, and has a significant impact in limiting brain penetration of a broad range of substrates. P-gp is therefore considered as one of the major obstacles to drug delivery into the central nervous system (CNS). The interaction between P-gp and new drug candidates is investigated in vitro during early states of drug development. It is however uncertain how well the in vitro studies actually predict the in vivo relevant P-gp mediated efflux at the BBB. Recently, we described the development of a MDR1 transfected porcine epithelial cell line (iP-gp), which overexpresses human P-gp, while displaying extremely tight barrier properties comparable to that of a tight BBB, making this cell line a suitable tool for studying human P-gp. The present study aimed at evaluating the applicability of the iP-gp cell line for screening investigational drugs for their susceptibility to P-gp interactions, and how well the cell line could predict the in vivo relevance of P-gp mediated efflux at the BBB in mice. Bidirectional fluxes of 14 drug candidates were measured in iP-gp cells and in MDCK II MDR1 cells, and compared with pharmacokinetic data obtained in male C57BL/6 mice. The iP-gp cells formed markedly tighter cell monolayer (>15 000 Ω∙cm2) than MDCK II MDR1 cells (>250 Ω∙cm2). The Papp in the apical to basolateral (A-B) direction were generally lower in the iP-gp monolayers than in the MDCK II MDR1, indicating a more restrictive paracellular pathway between the iP-gp cells. Both cell models were highly capable of discriminating between compounds with low and high permeation. This was corroborated by Kp,uu from the in vivo studies, where compounds that displayed the lowest Kp,uu in mice generally exhibited the highest efflux ratios and/or lowest Papp,A-B in the two cell models. Thus, the results in the cell models were in good agreement with the in vivo results. 12 compounds displayed a low BBB penetration ability in mice as judged by Kp,uu less than 1, indicating a possible involvement of an efflux transporter or low passive permeability across the BBB. Experimental data from the iP-gp cell model indicated that seven compounds were P-gp substrates, whereas analysis of data from the MDCK II MDR1 cell indicated four compounds were substrates. This suggest the iP-gp cell model may be a more sensitive tool for screening of drug candidates for interaction with human P-gp. Thus, the iP-gp cell line may serve as a useful screening tool in drug development studies.

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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.024
GPT teacher head0.263
Teacher spread0.239 · 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
Published2018
Admission routes1
Has abstractyes

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