Evidence map›Paper›PMID 30611556›Full record

ArticleFertility and sterility2019

Differential gene expression during placentation in pregnancies conceived with different fertility treatments compared with spontaneous pregnancies.

Bora Lee, Alex F Koeppel, Erica T Wang, Tania L Gonzalez, Tianyanxin Sun, Lindsay Kroener, Yayu Lin, Nikhil V Joshi, Tejal Ghadiali, Stephen D Turner and 10 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Fertility and sterility, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Genetics and Epigenetics of Infertility and Treatments on Outcomes.The Journal of clinical endocrinology and metabolism · 2019
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 6 institutions in 1 country.

Bora LeeDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California.
Alex F KoeppelCenter for Public Health Genomics, University of Virginia, Charlottesville, Virginia.
Erica T WangDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California; Department of Obstetrics and Gynecology, University of California, Los Angeles (UCLA) David Geffen School of Medicine, Los Angeles, California.
Tania L GonzalezDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California.
Tianyanxin SunDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California.
Lindsay KroenerDepartment of Obstetrics and Gynecology, University of California, Los Angeles (UCLA) David Geffen School of Medicine, Los Angeles, California.
Yayu LinDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California.
Nikhil V JoshiDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California; Department of Obstetrics and Gynecology, University of California, Los Angeles (UCLA) David Geffen School of Medicine, Los Angeles, California.
Tejal GhadialiDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California.
Stephen D TurnerCenter for Public Health Genomics, University of Virginia, Charlottesville, Virginia.
Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, Virginia.
Charles R FarberCenter for Public Health Genomics, University of Virginia, Charlottesville, Virginia.
Jerome I RotterLABiomed/Harbor-UCLA Medical Center, Torrance, California.
Yii-Der Ida ChenLABiomed/Harbor-UCLA Medical Center, Torrance, California.
Mark O GoodarziDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California.
Seth GullerDepartment of Obstetrics/Gynecology and Reproductive Sciences, Yale University School of Medicine, New Haven, Connecticut.
Bryna HarwoodDepartment of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California.
Tania B SernaDepartment of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California.
John WilliamsDepartment of Obstetrics and Gynecology, University of California, Los Angeles (UCLA) David Geffen School of Medicine, Los Angeles, California; Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California.
Margareta D PisarskaDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, California; Department of Obstetrics and Gynecology, University of California, Los Angeles (UCLA) David Geffen School of Medicine, Los Angeles, California. Electronic address: pisarskam@cshs.org.
Cedars-Sinai Medical Center · USUniversity of California, Los Angeles · USUniversity of Virginia · USHarbor–UCLA Medical Center · USUCLA Medical Center · USYale University · US

Funding

Effects of fetal sex on the first trimester transcriptomeR01HD074368 · NICHD · CEDARS-SINAI MEDICAL CENTER · PI PISARSKA, MARGARETA · 2013 to 2018
$3.4M
Training Program in Endocrinology, Diabetes, and MetabolismT32DK007770 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI MELMED, SHLOMO · 1999 to 2022
$3.4M
NICHD NIH HHS R01 HD074368NIDDK NIH HHS T32 DK007770
6 · The paper itself

Abstract

objectiveTo identify differences in the transcriptomic profiles during placentation from pregnancies conceived spontaneously vs. those with infertility using non-in vitro fertilization (IVF) fertility treatment (NIFT) or IVF.

designCohort study.

settingAcademic medical center. PATIENT(S): Women undergoing chorionic villus sampling at gestational age 11-13 weeks (n = 141), with pregnancies that were conceived spontaneously (n = 74), with NIFT (n = 33), or with IVF (n = 34), resulting in the delivery of viable offspring. INTERVENTION(S): Collection of chorionic villus samples from women who conceived spontaneously, with NIFT, or with IVF for gene expression analysis using RNA sequencing. MAIN OUTCOME MEASURE(S): Baseline maternal, paternal, and fetal demographics, maternal medical conditions, pregnancy complications, and outcomes. Differential gene expression of first-trimester placenta. RESULT(S): There were few differences in the transcriptome of first-trimester placenta from NIFT, IVF, and spontaneous pregnancies. There was one protein-coding differentially expressed gene (DEG) between the spontaneous and infertility groups, CACNA1I, one protein-coding DEG between the spontaneous and IVF groups, CACNA1I, and five protein-coding DEGs between the NIFT and IVF groups, SLC18A2, CCL21, FXYD2, PAEP, and DNER. CONCLUSION(S): This is the first and largest study looking at transcriptomic profiles of first-trimester placenta demonstrating similar transcriptomic profiles in pregnancies conceived using NIFT or IVF and spontaneous conceptions. Gene expression differences found to be highest in the NIFT group suggest that the underlying infertility, in addition to treatment-related factors, may contribute to the observed gene expression profiles.

Indexed as

Reproductive Techniques, AssistedTranscriptomeAdultFemaleFertilityGene Expression ProfilingGene Expression Regulation, DevelopmentalHumansInfertilityLive BirthMaleMiddle AgedPlacentationPregnancyTreatment Outcomein vitro fertilization (IVF)Non-IVF fertility treatment (NIFT)placentationRNA sequencingtranscriptome

Identifiers

PMID30611556
PMCPMC7156023
OpenAlexW2907872880

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.