Sex differences in APP processing in human brains
Bibliographic record
Abstract
BACKGROUND: Amyloidogenic processing of the transmembrane protein amyloid precursor protein (APP), by BACE1, results in the production of Aβ peptides which are a pathological hallmark of Alzheimer's disease (AD). AD is a biological female dominated disorder, with postmenopausal females accounting for ∼72% of late onset Alzheimer's cases. Due to this sex discrepancy, there has been an increased interest in investigating sex differences in AD pathology. However, studies have not made direct comparisons between APP processing in biological males and females. Animal research has examined sex differences between MALE, SHAM, and OVX models and found cognitive decline in OVX models and higher BACE1 content and activity. The purpose of this study was to examine sex differences in brain markers associated with APP processing in AD and non-diseased male and female human brains. METHOD: Human Brain samples were acquired from the Douglas-Bell Canada Brain Bank (DBCBB). The collection included hippocampal samples from 9 non-diseased individuals of both sexes, as well as 19 hippocampal samples from individuals with AD, comprising 9 females and 10 males. Western blots for APP, APP processing markers (sAPPα, sAPPβ, BACE1, ADAM10), and APP processing mediators (proBDNF, matBDNF) were analyzed, along with activity assays for BACE1 and ADAM10. RESULT: The AD samples had lower ADAM10 content (p = 0.017), and a lower sAPPα: sAPPβ ratio compared to the non-diseased samples (p = 0.008). AD samples also had higher BACE1 activity (p = 0.036) and proBDNF content (p = 0.022) compared to the non-diseased samples. The non-diseased female samples had higher matBDNF in comparison to the AD females (p = 0.058). There were no differences in protein content or activity between the sexes. CONCLUSION: This study demonstrates differences in APP processing markers between AD and non-diseased samples. Contrary to our initial hypothesis, no significant sex differences were observed in APP processing markers or enzyme activities between males and females in either the AD or non-diseased groups. These findings contribute to our understanding of AD pathology and underscore the complexity of sex-based differences in the disease, suggesting the need for further research to explore the mechanisms underlying AD prevalence.
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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".