Regulation of ABC membrane transporters in glial cells: Relevance to the pharmacotherapy of brain HIV‐1 infection
Bibliographic record
Abstract
Limited drug penetration is an obstacle that is often encountered in the treatment of CNS diseases including human immunodeficiency virus type-1 (HIV-1) encephalitis (HIVE). One mechanism that may contribute to this phenomenon is the expression of ATP-binding cassette (ABC) drug efflux transporters [i.e., P-glycoprotein (P-gp), Multidrug Resistance-Associated Proteins (MRP/Mrp), Breast Cancer Resistance Protein (BCRP; also known as ABCG2)] at the primary brain barrier sites (i.e., blood-brain barrier, blood-cerebrospinal fluid barrier). In addition, it has been recently proposed that glial cells may also contribute to the low accumulation and altered distribution of therapeutic compounds in the CNS by functioning as a "secondary barrier." In fact, a few studies have shown that ABC transporters are both expressed and functional in glial cells. Furthermore, commonly prescribed antiretroviral compounds (ARVs), particularly HIV-1 protease inhibitors, are substrates for many of these same transport proteins suggesting that ABC transporters in glial cells may contribute to the overall export of these drugs from the brain. HIV-1 infection is a chronic condition characterized by long-term exposure of brain cellular compartments to HIV-1 virions and soluble viral proteins. In addition, treatment of HIV-1 infection involves long-term administration of a multiplicity of ARVs (i.e., HAART regimens). Indeed, pathological factors associated with HIV-1 infection and/or pharmacological factors related to treatment may alter the expression of ABC transporters and lead to changes in CNS ARV uptake and/or distribution. This review summarizes recent knowledge in this area and emphasizes the role that glial ABC transporters may play in regulating ARV transport.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".