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Record W2559734835 · doi:10.1071/rdv29n1ab1

1 INSULIN TREATMENT DURING IN VITRO OOCYTE MATURATION LEADS TO DIFFERENT GENE EXPRESSION AND METHYLATION PATTERNS OF KEY GENES ASSOCIATED WITH METABOLISM AND STEROID SYNTHESIS IN THE BOVINE BLASTOCYST

2016· article· en· W2559734835 on OpenAlexaff
Denise Laskowski, P. Humblot, Marc‐André Sirard, Ylva Sjunnesson, Göran Andersson, Renée Båge

Bibliographic record

VenueReproduction Fertility and Development · 2016
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsEpigenomeDNA methylationBiologyEpigeneticsTranscriptomeEpigenomicsOocyteHyperinsulinemiaGeneticsBlastocystInsulinMethylationAndrologyBisulfite sequencingReproductive technologyGeneInsulin resistanceEndocrinologyGene expressionEmbryoMedicineEmbryogenesis

Abstract

fetched live from OpenAlex

Obesity and overfeeding are common causes for female infertility, leading to insulin resistance and hyperinsulinemia and associated with an increased risk for type 2 diabetes mellitus (Pasquali et al., http://dx.doi.org/10.1093/humupd/dmg024). We investigated here the effect of insulin during in vitro oocyte maturation on methylation changes in bovine Day 8 blastocysts (BC8) and focused on methylation patterns of candidate genes associated with metabolism and steroidogenesis (Day 0 = day of oocyte collection). Abattoir-derived oocytes (n = 882) were in vitro matured for 22 h with 2 different insulin concentrations, INS10 (10 µg mL-1) and INS0.1 (0.1 µg mL-1) or without insulin (INS0, control). Subsequently, IVF and IVC were performed to equal standardized conditions for all groups. Parallel genomic DNA and total RNA extraction (AllPrepDNA/RNA micro kit, cat no. 80284, Qiagen®, Valencia, CA, USA) from pools of 10 frozen (-80°C) BC8 was followed by transcriptome and epigenome analysis (Laskowski et al., http://dx.doi.org/10.1071/RD15315). An empirical Bayes moderated t-test and the ‘limma’ package in R (www.r-project.org) were used to search for differentially expressed genes between the control and the insulin groups. Analysis of the epigenome by using a specific pipeline, described by Shojaei Saadi et al. (2014 BMC Genomics 15, 451), showed that 7632 and 3914 regions were hypomethylated in the INS0.1 and INS10 v. INS0, whereas 6026 and 8504 regions were hypermethylated in INS0.1 and INS10 v. INS0. Combining epigenetic and transcriptomic data, we found that high methylation and low expression or the reverse (low methylation and high expression) were observed for a set of 14 and 11 genes for INS0.1 and INS10 respectively. Most of these genes are associated with lipid metabolism, steroid synthesis, and oxidative stress. Further investigation of the localization of differentially methylated regions (DMR) in genes showed that the conservation odds (methylation) was in general higher in coding regions and CpG islands than in noncoding regions. We observed a large overlap of DMR in the 2 insulin groups compared with controls (3233 common DMR). These numerous changes illustrate the potential unfavourable effects of elevated insulin during maturation leading to alteration of the methylation patterns of the early embryo. This model may help us better understand the mechanisms by which metabolic disorders observed pre-conception can affect embryonic development and subsequent health of the offspring. Our results based on changes in transcriptome or epigenome did show that insulin challenge during maturation leads to postponed effects associated with steroidogenesis, lipid metabolism and oxidative stress in the BC8. By this early stage, if persistent, specific changes in the expression and methylation patterns of genes associated to hyperinsulinemia may decrease the developmental potential of early embryos or could be responsible for subsequent pathologies. This study was funded by FORMAS.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score0.338

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.023
GPT teacher head0.244
Teacher spread0.221 · 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 teacher head, 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".

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Citations1
Published2016
Admission routes1
Has abstractyes

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