The Maternal Environment Programs Postnatal Weight Gain and Glucose Tolerance of Male Offspring, but Placental and Fetal Growth Are Determined by Fetal Genotype in the<i>Leprdb</i>/+ Model of Gestational Diabetes
Bibliographic record
Abstract
Mice heterozygous for a signaling-deficient leptin receptor (Leprdb/+ [db/+]) are widely used as a model of gestational diabetes that results in poor fetal outcomes. This study investigated the importance of fetal genotype (db/+) relative to abnormal maternal metabolism for placental function and therefore fetal growth and offspring health. Wild-type (WT) and db/+ females were mated to db/+ and WT males, respectively, generating litters of mixed genotype. Placentas and fetuses were weighed at embryonic day 18.5; offspring weight, hormone levels, glucose tolerance, and blood pressure were assessed at 3 and 6 months. Pregnant db/+, but not WT, dams had impaired glucose tolerance. The db/+ placentas and fetuses were heavier than WT, but the maternal environment had no effect; WT placentas/fetuses from db/+ mothers were no bigger than WT placentas/fetuses carried by WT mothers. Postnatal weight gain, glucose metabolism, and leptin levels were all influenced by offspring genotype. However, maternal environment affected aspects of offspring health because WT male offspring born to db/+ dams were heavier and had worse glucose tolerance than the sex-matched WT offspring of WT mothers. Blood pressure was not affected by maternal or offspring genotype. These data reveal that studies using the db/+ mouse to model outcomes of pregnancy complicated by gestational diabetes should be mindful of the genetically predisposed fetal/postnatal overgrowth. Although inappropriate for dissecting the effect of maternal hyperglycemia on the contribution of placental function to macrosomia, the db/+ mouse may prove useful for investigating mechanisms underlying programming of suboptimal postnatal weight gain and glucose metabolism by an adverse maternal metabolic environment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".