Fatty acid binding proteins in brain development and disease
Bibliographic record
Abstract
Long chain polyunsaturated fatty acids (PUFAs) are critical structural components of the brain and essential for normal brain development. The cellular transportation and physiological actions of PUFAs are mediated by fatty acid binding proteins (FABPs) which are encoded by the intracellular lipid-binding protein gene family. Three of the ten mammalian FABPs identified to date (FABP3, FABP5, FABP7) are expressed in the brain. These three FABPs, along with their fatty acid ligands, have distinct and dynamic spatio-temporal expression profiles that correlate with specific developmental stages and processes in the brain. Functional studies have revealed a variety of roles for FABPs in brain development including the generation of neuronal and/or glial cells, differentiation, neuronal cell migration and axis patterning. A number of transcription factors have been shown to be involved in the developmental regulation of FABP gene expression in the brain. Furthermore, FABPs appear to be major downstream effectors of signaling pathways such as Reelin-Dab1/Notch which mediate neuron-glia crosstalk during brain development. As PUFAs and FABPs play critical roles in brain development, considerable effort has been placed in elucidating their function in the pathogenesis and progression of brain cancers and neuropsychiatric disorders.
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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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".