The parity paradox: Differential effects on functional connectivity depending on APOEε4 genotype in middle age
Bibliographic record
Abstract
BACKGROUND: Females have a higher lifetime risk of Alzheimer's disease (AD) and show greater neuropathology and cognitive decline than males. Furthermore, possession of APOEε4 alleles confers greater risk and burden of AD in females than males. To better understand how AD affects females, female-specific factors like parity (pregnancy and parenthood) are important to consider. Indeed, parity impacts brain aging in both humans and rodents, and has been associated with increased risk, greater neuropathology, and earlier age of onset for AD. We found that previous parity had opposite effects depending on genetic risk for late-onset AD (in an humanized (h)APOEε4 rat model). Parity was associated with beneficial effects on brain health biomarkers in wildtype rats, yet detrimental effects in hAPOEε4 rats. This research explores the influences of parity and hAPOEε4 genotype on activation and connectivity of brain regions implicated in cognition and AD in middle-aged rats. METHOD: Wildtype and hAPOEε4 rats were either nulliparous (never mothered) or primiparous (one-time mothers). At middle age, rats were tested on a spatial working memory task then euthanized to examine functional connectivity using the immediate early gene, zif268, in response to memory retrieval. We examined activation of neurons across 19 brain regions to understand how previous parity and hAPOEε4 alter connectivity of neural networks. RESULTS: Our findings demonstrate that previous primiparity in wildtype rats enhanced neural network efficiency and integration. In contrast, primiparity in hAPOEε4 rats was associated with increased fragmentation of the overall neural network. Primiparity in hAPOEε4 rats also reduced neural activation of key brain regions critical for memory, including the frontal cortex, dorsal striatum, nucleus accumbens, and retrosplenial cortex. Activation of subregions in the ventral hippocampus and granular retrosplenial cortex, both individually and in pairs, consistently predicted cognitive strategy use in a spatial working memory task, which depended on hAPOEε4 genotype. CONCLUSION: By revealing distinct patterns of network organization and regional importance, this study provides insight into the neural networks underlying cognition altered by primiparity and hAPOEε4 in middle-aged female rats. These findings also demonstrate that considering within-sex factors is crucial to unraveling the dynamic effects of AD risk on brain health outcomes.
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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 | 0.001 |
| 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) | 0.001 | 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".