Maternal protein restriction permanently programs adipocyte growth and development in adult male rat offspring
Bibliographic record
Abstract
We previously demonstrated that maternal protein restriction (MPR) during pregnancy and lactation led to fetal growth restriction and development of increased visceral adiposity in adult male rat offspring. Here we studied the rate of proliferation and differentiation of adipocyte precursors (preadipocytes) in vitro to investigate whether MPR may permanently program adipocyte growth and development in adult male offspring. Preadipocytes were isolated from visceral adipose tissue of control and MPR offspring at 130 days of age, and cultured under standard conditions. The rate of proliferation was studied by [(3)H]-thymidine incorporation, and the rate of differentiation assessed with the use of biochemical and morphological markers. Although it did not affect the rate of differentiation, MPR increased the rate of preadipocyte proliferation by almost twofold. To ascertain if the increased proliferation was due to persisting in vivo influences or aberrations inherent in the precursor cells, we studied the rate of preadipocyte proliferation in subcultures. We found that the increased rate of proliferation of MPR preadipocytes persisted throughout the first two subcultures, indicative of an inherent abnormality. In addition, we examined the rate of preadipocyte proliferation under reduced serum conditions. We showed that MPR reduced the rate of preadipocyte proliferation to 56 and 35% of the control in the presence of 5 and 2.5% serum, respectively. Taken together, these results demonstrate that MPR permanently programs adipocyte growth and development such that adipocyte precursors derived from MPR offspring replicate excessively under standard culture conditions but exhibit markedly attenuated growth rate under reduced serum conditions.
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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 | 0.001 |
| 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".