9358 Maternal Blood Glucose And Hypothalamus Volume: Novel Insights For Intergenerational Transmission Of Endocrine Traits
Bibliographic record
Abstract
Abstract Disclosure: C. Marchildon: None. M. Arguin: None. M. Doyon: None. S. Cote: None. A. Michaud: None. J. Huck: None. V. Gingras: None. P. Perron: None. M. Hivert: None. L. Bouchard: None. K. Whittingstall: None. Objective: Several studies have linked maternal hyperglycaemia to diabetes-prone phenotype in the offspring, yet the mechanisms underlying these associations remain unclear. In adults, the hypothalamus is known to play a crucial role in the progression of obesity and diabetes. In utero exposure to maternal hyperglycaemia may thus selectively target the developing hypothalamus. To test this hypothesis, we explored the link between maternal glycemia and offspring brain volumes at 10-12-year-old. Methods: This study was conducted in a subgroup of 48 mother-child pairs from the Gen3G prospective pre-birth cohort. Pregnant women completed a 75g oral glucose tolerance test (OGTT) at 24-30 weeks of pregnancy. Maternal glucose was measured at fasting, 1h, and 2h during the OGTT and area-under-the curve of glucose (AUCgluc) was calculated using the trapezoid method. When participating offspring reached 12 years of age, they were invited back to the clinical research centre to complete a high-resolution structural MRI from which regional brain volumes and hypothalamic subvolumes were quantified using FreeSurfer (Fisch, 2012). Results: Participating mothers were 28.6 (± 4.4) years old at enrolment, their mean BMI was 25.3 (± 6.3) kg/m2, and 6 women had gestational diabetes diagnosed from the IADPSG criteria. At follow-up, offspring were 10.9 (± 0.4) years old, and mean BMI was 18.3 (± 3.3) kg/m2. Our investigation revealed a significant and positive correlation between maternal AUCgluc and total offspring hypothalamic volume (r = 0.41, p = 0.004, n = 48). No significant correlations were observed in other cortical and sub-cortical regions (all p>=0.05). The link between maternal AUCgluc and hypothalamic volume was considerably stronger in female offspring (r = 0.54, p = 0.008, n = 23) than in males (r = 0.26, p = 0.22, n = 25). Conclusions: We found an association between higher maternal glycemia and greater offspring hypothalamic volumes, particularly among females. These results suggest that prenatal exposure to hyperglycaemia may lead to hypothalamic programming in a sex-dependent manner. Considering that recent studies have linked the hypothalamic disturbances to endocrine dysregulation, our findings may lead to a new understanding of obesity and the intergenerational transmission of endocrine traits. Ref:Fischl B. Freesurfer. NeuroImage. 2012 Aug 10;62(2): 774-81. doi:10.1016/j.neuroimage.2012.01.021 Presentation: 6/2/2024
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".