Altered placental morphology and metabolomic profile in association with uncomplicated metabolically healthy obese pregnancy
Bibliographic record
Abstract
Abstract Metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUO) in pregnancy represent two distinct cardiometabolic populations, each potentially necessitating alternative clinical management. However, the understanding of the unique physiological effects of uncomplicated MHO or MUO on fetoplacental growth and metabolism remains limited. This study aimed to identify changes in placental morphology and metabolites concerning maternal obesity, independent of pregnancy-related cardiometabolic complications. Placentae from women with a pre-pregnancy body mass index (BMI) <25 kg/m 2 (control; n = 15) and women with MHO (pre-pregnancy BMI >30 kg/m 2 with no cardiometabolic diseases; n = 15) were analysed for indices of placental growth and untargeted metabolomics. Complementary measures of pro-inflammatory and antioxidant genes, as well as antioxidant proteins, enzymes, and lipid peroxidation markers were conducted. A clear placentomegaly without histopathological changes was observed in uncomplicated MHO pregnancies. The metabolite 3-aminoisobutanoic acid emerged as the top-ranked feature distinguishing MHO from control placentae, and cysteine, methionine, and vitamin B6 metabolism pathways were among the most distinct signatures identified. These findings illustrate an altered placental morphology and metabolomic profile specific to uncomplicated MHO, offering new insights into how obesity without cardiometabolic complications influences fetoplacental growth and metabolism. They also represent a crucial first step towards marker identification for MHO pregnancies and underscore the importance of alternative care pathways when obesity is present but metabolic comorbidities are absent.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".