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Maternal Iron Deficiency Elicits Changes in Placental Development and Alters Fetal Growth Trajectories

2020· article· en· W3016967624 on OpenAlexaffabout
Hannah Roberts, Andrew G. Woodman, Stephane L. Bourque, Stephen J. Renaud

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsUniversity of AlbertaWestern University
Fundersnot available
KeywordsPlacentaFetusPregnancyHemoglobinAndrologyIron deficiencyPreeclampsiaConceptusAnemiaOxygen transportGestationMedicinePhysiologyIron-deficiency anemiaFetal growthBiologyInternal medicineChemistryOxygen

Abstract

fetched live from OpenAlex

Iron is an essential mineral that participates in oxygen transport, DNA synthesis and repair, and as a cofactor for various cellular processes. Iron deficiency (ID) is the most common nutritional deficiency worldwide and pregnant women are one of the populations most at risk. ID during pregnancy poses major health concerns for the developing baby, including fetal growth restriction and long‐term health complications. Maternal ID may indirectly impair fetal growth through changes in the structure and function of the placenta, however, the effect of ID on the placenta is not well understood. Objective This project aims to establish a model of ID in pregnant rats and investigate the resulting changes in placental development and fetal growth. Methods Pregnant Sprague‐Dawley rats were fed either a low iron (10 mg iron/kg) or iron‐replete (37 iron/kg) diet starting two weeks before pregnancy to induce a state of ID anemia alongside respective controls. Detection of sperm in a vaginal lavage was designated gestational day (GD) 0.5. Conceptuses were dissected at either GD 13.5 or GD 18.5. Dam and fetal hemoglobin (Hb) concentration and body weight were measured. Placentas were weighed, cryosectioned and stained with hematoxylin and eosin to assess the cross‐sectional areas of the labyrinth and junctional zones (anatomical units of the rodent placenta). Placental mRNA expression of iron transporters and other nutrient transporters was measured by Clariom S microarray. Results Compared to controls, ID reduced maternal hemoglobin (Hb) throughout pregnancy, including a 44% (P=0.0006) reduction on GD 18.5. Fetal Hb was also reduced in ID on GD 18.5 by 47% (P<0.0001). ID caused a 14% (P=0.03) reduction in total fetal body weight and reduced fetal liver weight by 18% (P=0.003) compared to controls. There was no change in fetal brain, heart or kidney weight. Interestingly, relative placental size was increased in ID by 33% (P=0.0008), including a 27% (P=0.007) increase in junctional zone area and no change in labyrinth zone area. Conclusion Maternal ID was associated with the development of anemia in both moms and fetuses. ID also decreased fetal weight and increased placental growth, specifically in the junctional zone. Significance and Implications Decreased iron availability and oxygen‐carrying capacity in pregnancy may stimulate placental structural changes as a compensatory response to maintain fetal nutrition and oxygenation. Although such adaptations may provide short‐term benefits to the baby, they may ultimately lead to placental insufficiency and failure to meet fetal demands, resulting in fetal growth restriction. Since the placenta forms the interface between a mother and her baby, these modifications may yield new diagnostic indices of fetal distress in ID pregnancies, such as placental size changes that can be detected by ultrasound or post‐partum analysis of placental nutrient transporters and markers of inflammation. Knowledge of such changes may, therefore, lead to earlier interventions and improved fetal outcomes. Support or Funding Information Canadian Institutes of Health Research

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 score0.002
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 head0.026
GPT teacher head0.242
Teacher spread0.216 · 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".

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Citations0
Published2020
Admission routes2
Has abstractyes

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