Change in INSR, APBA2 and IDE Gene Expressions in Brains of Alzheimer's Disease Patients
Bibliographic record
Abstract
BACKGROUND: Alzheimer's disease (AD) is defined as a progressive and irreversible neurodegenerative disorder, the onset of which is mainly characterized by decreased cognition, memory loss, and mental confusion. OBJECTIVE: This study sought to quantify mRNA expression of the APBA2, INSR and IDE genes in brain samples from patients with AD and controls. METHODS: We investigated the mRNA expression of the APBA2, INSR and IDE genes in 150 RNA samples from entorhinal cortex, auditory cortex, and the hippocampus of individuals with AD and elderly controls using real time PCR. APOE genotypes were determined by PCR-RFLP. RESULTS: When the total brain samples were analyzed collectively, a decrease in IDE gene expression was found in AD patients relative to healthy elderly controls. However, when the samples were analyzed separately according to the region of the brain, there was a significant upregulation of INSR expression in the hippocampus and the entorhinal cortex in the AD patient group. We did not observe any statistical differences when gene expression was compared in the different regions of the brain of AD patients. When the E4 allele of apolipoprotein-E was considered in AD patients, the presence of this allele was found to be associated with decreased APBA2 gene expression. The same analysis using the INSR and IDE genes showed no significant statistical differences. CONCLUSION: These results support the hypothesis that APBA2, IDE, and particularly INSR gene expression in different areas of Alzheimer's patient's brains could represent new markers for use in clinical diagnoses in the near future.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".