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Record W1592617185 · doi:10.25011/cim.v30i4.2837

Effects of maternal nutrient restriction on placental morphology and insulin-like growth factor system expressions

2007· article· en· W1592617185 on OpenAlexvenueno aff
Caroline D Albion, Sellena Dixon, Karen Nygard, Corey Reid, VK Han

Bibliographic record

VenueClinical and investigative medicine · 2007
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsnot available
Fundersnot available
KeywordsFetusPlacentaInternal medicineEndocrinologyPlacental insufficiencyIntrauterine growth restrictionPregnancyBiologyMalnutritionInsulin-like growth factorGrowth factorAndrologyMedicineReceptor

Abstract

fetched live from OpenAlex

Uteroplacental insufficiency is one of the major causes of fetal growth restriction (FGR) in developed countries. The pathophysiology is likely the result of fetal undernutrition due to the impairment of nutrient and substrate transfer from the mother to the fetus. Fetal undernutrition due to maternal undernutrition is not a major cause of FGR in developed countries compared to developing countries. However, FGR can be reproducibly created in experimental animals by maternal undernutrition, and is commonly utilized to study the pathophysiology of fetal undernutrition in the fetus and the placenta. The insulin-like growth factor (IGF) system is the principal growth factor involved in regulating normal fetal and placental growth and its aberrant expression is associated with the development of FGR. We hypothesized that placenta undergoes adaptive changes in pregnancies with maternal undernutrition, the effects of which are mediated by the IGF system. Methods: A mouse model of FGR was generated in CD-1 mice using maternal total caloric nutrient restriction. At 6.5 days of pregnancy, mice were randomly assigned to the control group (ad libitum diet) or global nutrient restriction (GNR) diet group (70% of predetermined food intake of each gestational day). FGR can be reproducibly induced in the fetuses without effect in litter size. Placentae were collected at 18.5 days and were fixed in 4% paraformaldehyde. Five mm tissue sections were prepared by standard techniques and were stained with hematoxylin & eosin for morphometry, PAS for glycogen staining, and immunohistochemistry against IGF-I and –II, IGFBP-1, -2 and –3 using specific antisera for cell-specific expression of the IGF system. The morphology of the placentae was analyzed using a computerized image analysis system. Results: Placentae were significantly smaller in FGR mice compared to controls (94±4 mg SEM vs 72±3 mg SEM). Preliminary results demonstrate changes in FGR mouse placentae tended to be a result of a reduction in spongiotrophoblast layer (p = 0.066, one-tailed t-test) while the labyrinthine trophoblast layer was maintained. Morphometric analysis of the labyrinth demonstrated an increase in the diameter of both maternal and fetal vessels with a reduction in the thickness of the interchorial layer. The IGF-I and –II, IGFBP-1, IGFBP-2 and IGFBP-3 immunoreactivity were all reduced in FGR placentae compared to the controls. Conclusion: These findings suggest that maternal nutrient restriction induces changes in the placenta that may potentially lead to improved nutrient and substrate transfer from mother to fetus, in an attempt to maintain fetal viability. However, these compensatory changes are not sufficient to maintain growth. These changes may result from the alteration of expression of the IGF system genes.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.086
GPT teacher head0.349
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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