Fructose consumption in pregnancy and associations with maternal and offspring hepatic and whole-body adiposity: a scoping review
Bibliographic record
Abstract
ABSTRACT Background Fructose is a major component in the Western diet, and its increased intake has been linked to adverse metabolic health, including impaired hepatic function and increased adiposity. The early life period, including preconceptionally, pregnancy and the newborn period, are critical periods in determining later metabolic health. However, the impact of excess fructose intake during this time on maternal, fetal, and offspring hepatic and whole-body adiposity, are ill defined. Objectives To understand the effects of maternal fructose consumption pre- and during pregnancy on maternal, fetal and offspring hepatic and whole-body adiposity. Methods A systematic search of MEDLINE, EMBASE, and CENTRAL was performed up to August 23, 2022, to identify studies that focused on maternal fructose consumption pre- and during pregnancy on hepatic and whole-body adiposity in the mother, fetus, and offspring. Citations, abstracts, and full texts were screened in duplicate. Hepatic adiposity was defined as elevated hepatic triglycerides or overall hepatic fat accumulation. Whole-body adiposity was defined as increased adipose tissue or adipocyte hypertrophy. Results After screening 2334 citations, 33 experimental studies reporting maternal fructose consumption pre- and during pregnancy in rodents were included. Prenatal fructose exposure was associated with maternal (9 out of 12) and offspring (6 out of 10) whole-body adiposity. A high proportion of studies (13 out of 14) supported the association between fructose during pregnancy and increased maternal hepatic adiposity. Fetal hepatic adiposity and elevated expression of hepatic lipogenic proteins were noted in four studies. Offspring hepatic adiposity was supported in 14 of the 17 articles that discussed hepatic results, with five studies demonstrating more severe effects in female offspring. Conclusions Fructose consumption during pregnancy in rodent models is associated with maternal, fetal, and offspring hepatic, whole-body adiposity and underlying sex-specific effects. There are no human fructose studies and its effects in the early life period. Registration number H8F26 on Open Science Framework
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.012 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".