The Lipidome of the Lateral Ventricle Choroid Plexus Exhibits Sex‐Specific Changes Across Aging
Bibliographic record
Abstract
During aging, the brain's lipid composition and the cerebrospinal fluid (CSF) secreted by the choroid plexus (ChP) undergo significant modifications. The ChP, an epithelial tissue located in each brain ventricle, experiences a decline in key functions, including protein secretion and CSF production. A critical gap in our understanding of the ChP lies in its lipid composition and the potential impact of age-related changes on its physiology. This study hypothesized that the lipidome of the lateral ventricle choroid plexus (LVCP) is modulated during aging, potentially generating pro-inflammatory mediators. To address this, we performed quantitative lipidomics on LVCP from male and female mice across aging and investigated whether pro-inflammatory lipid mediators increase with age. LVCP and cortex tissues from C57BL/6 mice aged 6, 12, 18, and 24 months (n = 5/age/sex) were analyzed using liquid chromatography-tandem mass spectrometry, and data were processed using Lipidr and univariate statistical methods. Given the pronounced sex differences, analyses were stratified by sex. During aging, 9 lipids in males and 19 in females were significantly modulated. In males, most changes occurred at 24 months and involved higher levels of arachidonic acid (ARA) in alkyl ether and plasmalogen phosphatidylcholine species. In females, most changes occurred at 18 months and were characterized by lower levels of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), whereas at 24 months, females exhibited higher levels of EPA, DHA, and ARA in alkyl ether and plasmalogens compared to other ages. Additionally, younger females showed higher levels of oxygenated derivatives of linoleic acid compared to older females. These findings reveal dynamic, sex-specific remodeling of the LVCP lipidome during aging, suggesting that lipid homeostasis in this structure is tightly regulated and may influence inflammatory signaling and barrier function in an age-dependent manner.
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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 | 0.000 |
| 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".