Spatial characterization of RPE structure and lipids in the PEX1-p.Gly844Asp mouse model for Zellweger spectrum disorder
Bibliographic record
Abstract
Zellweger Spectrum Disorder (ZSD) is caused by defects in PEX genes, whose proteins are required for peroxisome assembly and function. Peroxisome dysfunction in ZSD causes multisystem effects, with progressive retinal degeneration (RD) among the most frequent clinical findings. However, much remains unknown about how peroxisome deficiency causes RD. To study RD pathophysiology in ZSD, we used the PEX1-p.Gly844Asp (G844D) mouse model, which represents the common human PEX1-p.Gly843Asp (G843D) variant. We previously reported diminished retinal function, diminished functional vision, and neural retina structural defects in this model. Here, we investigate the retinal pigment epithelium (RPE) phenotype, examining morphological, inflammatory, and lipid changes at 1, 3, and 6 months of age. We report that RPE cells exhibit evident degeneration by 3 months that worsens with time, starts in the dorsal pole, and is accompanied by subretinal inflammatory cell infiltration. We match these events with imaging mass spectrometry for regional analysis of lipids in the RPE. We identified 47 lipid alterations preceding structural changes, 9 of which localize to the dorsal pole. 29 of these persist to 3 months, with remodeling of the dorsal pole lipid signature. 13 new alterations occur concurrent with histological changes. Abnormalities in peroxisome-dependent lipids detected by LC/MS/MS are exacerbated over time. This study represents the first characterization of RPE in a ZSD model, and the first in situ lipid analysis in peroxisome-deficient tissue. Our findings uncover potential lipid drivers of RD progression in ZSD, and identify candidate biomarkers for retinopathy progression and response to therapy.
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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 | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".