Maternal nutrient restriction during pregnancy differentially alters the unfolded protein response in adipose and renal tissue of obese juvenile offspring
Bibliographic record
Abstract
Maternal diet during pregnancy can program an offspring's risk of disease in later life. Obesity adversely alters renal and adipose tissue function, resulting in chronic kidney disease and insulin resistance, respectively, the latter associated with dysregulation of the unfolded protein response (UPR). In view of the current obesity epidemic, we explored the combined effects of in utero early‐ to midgestational nutrient restriction and postnatal obesity on the UPR in ovine juvenile offspring. Nutrient restriction was coincident with fetal kidney development but prior to exponential adipose tissue deposition. Nutrient restricted (NR) and normal diet (control) offspring were exposed to an obesogenic environment throughout adolescence, resulting in similar degrees of juvenile obesity. NR offspring showed enhanced adipose tissue dysregulation characterized by activation of the UPR, perturbed insulin signaling, and marked inflammation, as demonstrated by increased abundance of crownlike structures and proinflammatory genes. Conversely, in renal tissue NR offspring had marked attenuation of cellular stress and inflammation evident as reduced activation of the UPR, down‐regulation of proinflammatory genes, and less histological damage. In conclusion, obesity‐related activation of the UPR can be determined by the in utero nutritional environment, demonstrating organ‐specific effects dependent on the developmental phase targeted within the fetus.— Sharkey, D., Gardner, D. S., Fainberg, H. P., Sebert, S., Bos, P., Wilson, V., Bell, R., Symonds, M. E., Budge, H. Maternal nutrient restriction during pregnancy differentially alters the unfolded protein re‐sponse in adipose and renal tissue of obese juvenile offspring. FASEBJ. 23, 1314–1324 (2009)
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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 | 0.000 | 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".