Localization of the Folate Transport Systems in the Murine Central Nervous System
Bibliographic record
Abstract
Folates are critical for normal neurodevelopment, and folate transport in the brain is primarily mediated by folate receptor alpha (FRα) at the blood-cerebrospinal fluid barrier (BCSFB). However, studies have reported folate transporter/receptor expression in other brain compartments, which may significantly contribute to overall brain folate uptake. The objective of this study is to characterize the localization of the folate transport systems i.e., reduced folate carrier (RFC), proton-coupled folate transporter (PCFT), and FRα in the mouse central nervous system, which will provide insight on novel routes of brain folate transport. In particular, folate transporter/receptor localization is examined at brain barriers [blood-brain barrier (BBB), BCSFB, arachnoid barrier (AB)] and in brain parenchyma (astrocytes, microglia, neurons). The localization of RFC, PCFT and FRα was observed in the brains of C57BL6/N wildtype mice by applying immunohistochemistry (IHC). Mouse brains were isolated, and IHC was performed on frozen coronal sections. Transporter/receptor localization was examined at brain barriers (BBB, BCSFB, AB) and in brain parenchyma (astrocytes, neurons, microglia) using specific antibodies. Standard IHC markers were utilized to identify various brain compartments, with confocal microscopy used for imaging. At the mouse BBB and BCSFB, localization of RFC, PCFT and FRα was observed, which is consistent with previous reported data and our own work. At the AB, in astrocytes and neurons localization of RFC and PCFT (but not FRα) was observed. In microglia, no expression of the folate transporters or receptor was detected. RFC and PCFT localization at the AB may represent a novel route of folate transport into the CSF, with transporter expression in neurons and astrocytes facilitating folate uptake into brain parenchyma cellular targets. Modulating folate transport at these brain compartments may provide a novel strategy in increasing brain folate uptake in disorders associated with defective FRα and impaired brain folate transport at the BCSFB. This work is supported by the Natural Sciences and Engineering Research Council of Canada (RB). VS is a recipient of several graduate scholarships.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.002 | 0.001 |
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.
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".