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Record W1496975124 · doi:10.1111/1471-0528.13529

Maternal adaptation to pregnancy is at least in part influenced by fetal gender

2015· letter· en· W1496975124 on OpenAlexaff
Richard Brown

Bibliographic record

VenueBJOG An International Journal of Obstetrics & Gynaecology · 2015
Typeletter
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsFetusPregnancyFetal growthPlacentaEndocrinologyPhysiologyMedicineBiologyGenetics

Abstract

fetched live from OpenAlex

An age-old question, 'is it a boy or a girl?' may be of greater significance than we have assumed! Differences in fetal growth rates by gender have been recognised for decades; however, the reasons why such differences exist remain poorly understood. Constitutional, genetic, metabolic, and many other factors have been proposed as affecting fetal growth and gender-related growth differences. The importance of placental function in fetal growth is unquestionable. Although each fetus has its own phenotype, it has typically been assumed that it is maternal factors that exhibit the greatest influence on placental function, and thereby upon fetal development. Examples include the patterns of fetal growth seen in mothers with medical issues such as diabetes, hypertension, or those with a pro-thrombotic disposition; however, recent data highlight the importance of maternal–fetal interactions, and furthermore what role fetal gender may have to play in these. Differential responses in fetal growth have been observed between genders with respect to maternal height and weight (Lampl et al. Am J Hum Biol 2010;22:431–443). Rather than the expected (that fetal weight would correlate directly with maternal height and weight), this study showed contrasting, gender-specific, growth patterns that varied not only with time but also with maternal height and weight independent of each other. Recent publications have demonstrated more direct associations between fetal gender and placental function. It appears that male fetuses are better able to maintain placental growth than females in the presence of maternal pre-eclampsia (Roland et al. Pregnancy Hypertension 2013;3:95). Prior data from the current authors suggest that fetal gender is associated with differences in placental function from early pregnancy, as demonstrated by observed differences in first-trimester placental biomarkers in uncomplicated pregnancies (Brown Placenta 2014;35:359–64). Although these differences may be superseded in pathological states, important gender influences persist nonetheless, with maternal blood pressures in complicated pregnancies (including pre-eclampsia) being higher in pregnancies with female fetuses (Brown et al. Pregnancy Hypertension 2015;5:31–2). In this present study (Brown et al. BJOG 2016; 123:1087–95) the authors have evaluated maternal vascular adaptation to pregnancy through the assessment of uterine artery Doppler and blood pressure, and have shown that pregnancies with male fetuses were more frequently associated with evidence of poor maternal vascular adaptation. Offering an important insight into the function of the fetoplacental unit, these data represents another piece in an as yet incomplete puzzle. The interactions between mother and fetus appear even more complex than was previously thought, and the balances and interplays that exist between the two appear themselves subject to modification by disease states. Further studies may highlight the roles that not only fetal gender but other fetal characteristics play. An understanding of how these might interact with various parental factors may provide further insights into the regulation of placental function and subsequent fetal development in both normal and complicated pregnancies. An improved understanding of these interrelationships is required in order for us to be better able to influence higher risk pregnancies and improve outcomes. None declared. Completed disclosure of interests form available to view online as supporting information.

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)0.001
metaresearch head score (Gemma)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.057
GPT teacher head0.315
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 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

Citations6
Published2015
Admission routes1
Has abstractyes

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