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Record W4404440602 · doi:10.1113/jp287171

Late‐gestation maternal undernutrition induces circulatory redistribution while preserving uteroplacental function independent of fetal glycaemic state

2024· article· en· W4404440602 on OpenAlexaff
Steven K. S. Cho, Jack R. T. Darby, Brahmdeep S. Saini, Stacey L. Holman, Mitchell C. Lock, Sunthara Rajan Perumal, Georgia Williams, Christopher K. Macgowan, Mike Seed, Janna L. Morrison

Bibliographic record

VenueThe Journal of Physiology · 2024
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
FundersDepartment of Education and Training
KeywordsInternal medicineEndocrinologyGestationFetusPlacentaHemodynamicsBiologyPregnancyMedicine

Abstract

fetched live from OpenAlex

Programming effects of maternal undernutrition on fetal metabolic and cardiovascular systems are well elucidated, yet a detailed characterization of maternal haemodynamics is not available. This study used comprehensive cardiovascular magnetic resonance (CMR) imaging to quantify maternal haemodynamics after 29 days (111-140 days) of late-gestation undernutrition (LGUN) in pregnant sheep. Control ewes received 100% of metabolizable energy requirements (MERs, n = 15), whereas LGUN ewes were globally nutrient restricted to 50% MER (n = 18), with a subset of fetuses undergoing continuous glucose infusion (LGUN + G, n = 6/18). Ewes underwent CMR (138-140 days' gestation), and placental tissue was collected the next day. Ewes in both LGUN groups had reduced body weight and mean blood glucose concentration across gestation. Ventricular dimensions were lower in both LGUN groups. Uterine artery blood flow (QUtA) was elevated in the LGUN group compared with controls, whereas peripheral blood flow was reduced and further diminished in LGUN + G. Maternal weight change correlated with all haemodynamic parameters across all groups. Uteroplacental oxygen and glucose delivery were increased in LGUN compared to control ewes, whereas uteroplacental oxygen consumption was preserved. LGUN did not impact placental or fetal weight, and markers of brain-sparing physiology were absent. Placental expression of insulin-like growth factors (IGF-1 and IGF-2) and their receptors, glucose, fatty acid (FA) or amino acid transporters and markers of angiogenesis was not impacted. FA transporter expression was positively correlated with QUtA, and FA binding protein correlated negatively with maternal weight change. Maternal cardiovascular adaptations in response to LGUN manifest as preservation of placental growth and function, thereby preserving fetal growth. KEY POINTS: Maternal undernutrition during pregnancy alters fetal metabolic and cardiovascular physiology, but little is known about alterations in maternal haemodynamics. Late-gestation undernutrition (LGUN) and LGUN + G redirected maternal blood flow from the periphery to the uteroplacental unit, concomitantly increasing the delivery of glucose and oxygen to the uteroplacental unit. Substrate transporter expression and uteroplacental oxygen consumption were preserved in LGUN and LGUN + G, suggesting prioritization of the placenta. This study is the first to report detailed maternal haemodynamics in the setting of maternal undernutrition, where placental growth and function were maintained, ultimately preserving fetal oxygen metabolism and growth.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.001

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)0.0000.000

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 head0.284
Teacher spread0.257 · 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 designBench or experimental
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

Citations3
Published2024
Admission routes1
Has abstractyes

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