Maternal Diet‐Induced Excess Adiposity in Mice Disrupts Mid‐Gestation Decidual Immune and Vascular Homeostasis Without Impairing Spiral Artery Remodeling
Bibliographic record
Abstract
AIM: Maternal excess adiposity (i.e., overweight/obesity) is linked to impaired uteroplacental perfusion, compromised placental development, and increased risk of adverse pregnancy outcomes. Inflammation and immune dysregulation accompanying excess adiposity may disrupt leukocyte-mediated tissue remodeling and immunoregulation, contributing to placental dysfunction. However, the impacts of excess adiposity on populations of innate lymphoid cells and macrophages orchestrating these processes, and on the decidual microenvironment, remain understudied. Here, we used a mouse model of high-fat, high-sucrose (HFHS) diet-feeding to study the impacts of excess adiposity on decidual immune dynamics during placental development. METHODS: Uteroplacental tissues were collected at mid-gestation (E10.5) from mice fed a control chow (CON) or HFHS diet before and during pregnancy. Multicolour flow cytometry was used to profile decidual leukocyte composition. Spiral artery remodeling was measured using (immuno)histochemistry. Multiplex immunoassays were used to compare systemic and decidual cytokine and growth factor levels. Comparative gene expression was measured in placental tissues using a NanoString nCounter array. RESULTS: macrophages. This was not associated with abnormal spiral artery remodeling but coincided with increased decidual proinflammatory cytokine and chemokine expression, and greater elevations in mediators of angiogenesis, endothelial activation, and coagulation. Despite this, placental gene expression was largely unaltered at mid-gestation. CONCLUSION: These findings point towards decidual vascular inflammation and dysregulated angiogenesis during early placentation in pregnancies complicated by excess adiposity. This may stem from or induce shifts in resident immune cells, contributing to later placental dysfunction.
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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".