Analysis of protein levels and solubility in distinct brain regions reveals several elements of the protein homeostasis network that are impacted by aging
Bibliographic record
Abstract
Abstract The onset of protein conformation diseases is inextricably linked to aging. During aging, cellular protein quality control declines which results in diminished protein homeostasis (proteostasis). In model organisms, such as C. elegans and killifish, proteostatic decline with age has been linked to the onset of aggregation of proteins in wild-type animals, observed through detergent-insoluble fractionation. Analysis of studies applying detergent-insoluble fractionation in mice revealed that the composition of detergent-insoluble proteins changes with age. However, these individual fractionation studies have generally been limited to small numbers of mice. Herein, we expand on our previous analysis by extending the experiments to a larger cohort of mice and to two brain regions implicated in neurodegenerative diseases, the cortex and hippocampus. These experiments unveil insights into alterations in the abundance and solubility of proteins involved in protein quality control and in inflammation. For example, ribosomal proteins and many chaperone proteins are downregulated with age. Consistent enrichment of subunits of the extracellular C1q complex was also observed in both brain regions alongside an increase in immunoglobulin signal indicating that markers of increased inflammation may also become insoluble during aging. More generally, insoluble proteins share features observed in datasets of impaired protein degradation indicating that the loss of activity of cellular protein degradation machinery may contribute to the specific aggregation of these proteins.
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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".