A new brain‐derived neurotrophic factor transcript and decrease inbrain‐derived neurotrophic factor transcripts 1, 2 and 3 in Alzheimer's disease parietal cortex
Bibliographic record
Abstract
Brain-derived neurotrophic factor (BDNF) supports hippocampal, cortical and basal forebrain cholinergic neurons, which lose function in Alzheimer's disease. In Alzheimer's tissues such as hippocampus and parietal cortex, brain- derived neurotrophic factor mRNA is decreased three- to four-fold compared with controls. However, the molecular mechanism of the down-regulation of BDNF in Alzheimer's disease is unknown. The human brain-derived neurotrophic factor gene has multiple promoters governing six non-coding upstream exons that are spliced to one downstream coding exon, leading to six different transcripts. Here we report an alternate human splice variant within exon 4I for a total of seven transcripts. Previous brain-derived neurotrophic factor mRNA measurements in Alzheimer's disease tissue were done using the downstream coding exon present in all transcripts. Using RT-PCR primers specific for each upstream exon, we observe a significant decrease in three human brain-derived neurotrophic factor mRNA transcripts in Alzheimer's disease samples compared with controls. Transcripts 1 and 3 each exhibit a two-fold decrease, and transcript 2 shows a five-fold decrease. There are no significant differences between control and Alzheimer's disease samples for the other transcripts, including the new splice variant. In rat, both transcripts 1 and 3 are regulated through the transcription factor cAMP response element binding protein, whose phosphorylation is decreased in the Alzheimer's disease brain. This could lead to specific down-regulation of the brain-derived neurotrophic factor transcripts shown here.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".