A profile of impaired insulin degradation in relation to late‐life cognitive decline: A preliminary investigation
Bibliographic record
Abstract
OBJECTIVE: Insulin degradation pathways may be related to Alzheimer's disease pathology. In preliminary analyses, we considered the relation of combined lower insulin secretion (c-peptide) and higher insulin--possibly a phenotype for impaired insulin degradation--to cognitive decline. METHOD: Fasting plasma c-peptide and insulin were measured in 1,187 non-diabetic Nurses' Health Study participants (mean age = 64 years). Cognitive testing began 10 years later. Participants completed three repeated assessments (over an average span of 4.4 years) of verbal memory, a strong predictor of Alzheimer disease development. C-peptide and insulin distributions were dichotomized at their medians to create four cross-tabulated categories. Multivariable linear mixed effects models were used to relate c-peptide/insulin categories to cognitive decline. RESULTS: Compared to the lower c-peptide/lower insulin group, women with lower c-peptide/higher insulin had a significantly faster rate of verbal memory decline: the mean difference was -0.05 units/year (95% CI -0.09,-0.01). This mean difference was similar to that which we found for women 5 years apart in age, indicating that having a profile of lower c-peptide/higher insulin appeared cognitively equivalent to aging by five years on tests of verbal memory. For women with higher c-peptide/higher insulin, the estimated mean difference in decline compared to those in the lower c-peptide/lower insulin group was statistically significant, but slightly lower, at -0.04 units/year (95% CI: -0.07,-0.02). CONCLUSION: These preliminary analyses of a possible phenotype of impaired insulin degradation provide supportive evidence that deficits in insulin degradation may be related to late-life verbal memory decline.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".