Bile acids during pregnancy: Trimester variations and associations with glucose homeostasis
Bibliographic record
Abstract
BACKGROUND AND AIMS: Bile acids are known to contribute to hepatic glucose and lipid metabolism regulation. Although glucose homeostasis sustains well-characterized modifications during uncomplicated pregnancies, changes in bile acids concentrations and relative proportions throughout pregnancy remain unknown. Furthermore, literature shows strong associations between bile acids profiles and glucose homeostasis under normal metabolic conditions. We seek, first, to characterize bile acids' metabolic changes across trimesters and, second, to evaluate associations between changes in bile acids and glucose homeostasis indexes in the first and second trimesters. METHODS: A total of 78 women were recruited and followed at each trimester of pregnancy. Fasting serum samples were collected once per trimester in which quantitative measurement of 30 different bile acids' molecules were performed using liquid chromatography with tandem mass spectrometry (LC-MS/MS). Glucose homeostasis indexes were measured in the first and second trimesters, after a 12-hour fast and following a 75 g oral glucose tolerance test. RESULTS: Total bile acids increased from the first trimester to late pregnancy, along with the cholic acid: chenodeoxycholic acid and conjugated: unconjugated bile acids ratios. Changes in bile acids were positively associated with elevated peripheral and hepatic insulin resistance indexes, as well as with trimestral changes in these indexes. CONCLUSION: Our findings suggest that modifications occurring in bile acids' profiles during normal pregnancy are associated with changes in glucose homeostasis. Further research is needed to examine the nature of those associations and the possible outcome of bile acids changes on pathological glucose homeostasis alterations during pregnancy.
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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 | 0.002 |
| 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 | 0.001 | 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".