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Record W4401447716 · doi:10.1101/2024.08.08.604307

Examining Fetal Sex-Specific Placental DNA Methylation Intensities and Variability Post <i>In Vitro</i> Fertilization

2024· preprint· en· W4401447716 on OpenAlexaff
Melanie Lemaire, Keaton Warrick Smith, Samantha L. Wilson

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsMcMaster University
Fundersnot available
KeywordsDNA methylationCpG siteIn vitro fertilisationBiologyMethylationFetusAndrologyPregnancySpontaneous conceptionGeneticsMedicineDNAGeneGene expression

Abstract

fetched live from OpenAlex

Abstract Infertility impacts up to 17.5% of reproductive-aged couples worldwide. To aid in conception, many couples turn to assisted reproductive technology, such as in vitro fertilization (IVF). IVF can introduce both physical and environmental stressors that may alter DNA methylation regulation, an important and dynamic process during early fetal development. This meta-analysis aims to assess the differences in the placental DNA methylome between spontaneous and IVF pregnancies. We identified three studies from NCBI GEO that measured DNA methylation with an Illumina Infinium Microarray in post-delivery placental tissue from both IVF and spontaneous pregnancies with a total of 575 samples for analysis (n = 96 IVF, n = 479 spontaneous). While there were no significant or differentially methylated CpGs in mixed or female stratified populations, we identified 9 CpGs that reached statistical significance (FDR <0.05) between IVF (n = 56) and spontaneous (n = 238) placentae. 7 autosomal CpGs and 1 X chromosome CpG was hypermethylated and 2 autosomal CpGs were hypomethylated in the IVF placentae compared to spontaneous. Autosomal CpGs closest to LIPJ , EEF1A2 , and FBRSL1 also met our criteria to be classified as biologically differentially methylated CpGs (FDR <0.05, |Δ β |>0.05). When analyzing variability differences in Δ β values between IVF females, IVF males, spontaneous females and spontaneous males, we found a significant shift to greater variability in the both IVF males and females compared to spontaneous (p <2.2e-16, p <2.2e-16). Trends of variability were further analyzed in the biologically differentially methylated autosomal CpGs near LIPJ EEF1A2 , and FBRSL1 , and while these regions were statistically significant in males, the female Δ β s and ΔCoVs followed a similar trend that differed in magnitude. In males and females there was a statistically significant difference in proportions of endothelial cells, hofbauer cells, stromal cells and syncytiotrophoblasts between spontaneous and in vitro Fertilization (IVF) populations. We also observed significant differences between sex within reproduction type in syncytiotrophoblasts and trophoblasts. The results of this study are critical to further understand the impact of IVF on tissue epigenetics which may help to investigate the connections between IVF and negative pregnancy outcomes. Additionally, our study supports sex specific differences in placental DNA methylation and cell composition should be considered as factors for future placental DNA methylation analyses.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.219
Teacher spread0.205 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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