Evidence map›Paper›PMID 31146888›Full record

ArticleFertility and sterility2019

Body mass index in relation to extracellular vesicle-linked microRNAs in human follicular fluid.

Rosie M Martinez, Andrea A Baccarelli, Liming Liang, Laura Dioni, Abdallah Mansur, Michal Adir, Valentina Bollati, Catherine Racowsky, Russ Hauser, Ronit Machtinger

Open access · greenAbstract read
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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. The Influence of Ovarian-Derived Extracellular Vesicles in Reproduction.Advances in anatomy, embryology, and cell biology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Extracellular vesicles and female reproduction.Journal of assisted reproduction and genetics · 2021
    Review
  12. Article
  13. Exosomes as a Potential Tool for Supporting Canine Oocyte Development.Animals : an open access journal from MDPI · 2020
    Review
  14. Machine learning vs. classic statistics for the prediction of IVF outcomes.Journal of assisted reproduction and genetics · 2020
    Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 3 countries.

Rosie M MartinezDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Laboratory of Precision Environmental Biosciences, Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, New York.
Andrea A BaccarelliLaboratory of Precision Environmental Biosciences, Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, New York.
Liming LiangDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Laura DioniEpidemiology, Epigenetics, and Toxicology Laboratory, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
Abdallah MansurDepartment of Obstetrics and Gynecology, Sheba Medical Center and Sackler School of Medicine, Tel-Aviv University, Ramat-Gan, Israel.
Michal AdirDepartment of Obstetrics and Gynecology, Sheba Medical Center and Sackler School of Medicine, Tel-Aviv University, Ramat-Gan, Israel.
Valentina BollatiEpidemiology, Epigenetics, and Toxicology Laboratory, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
Catherine RacowskyDepartment of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Russ HauserDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Ronit MachtingerDepartment of Obstetrics and Gynecology, Sheba Medical Center and Sackler School of Medicine, Tel-Aviv University, Ramat-Gan, Israel. Electronic address: ronit.machtinger@sheba.health.gov.il.
Tel Aviv University · ILHarvard University · USUniversity of Milan · ITBrigham and Women's Hospital · USMassachusetts Department of Public Health · US

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
The HSPH Education and Research Center of Occupational Safety and HealthT42OH008416 · OH · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI CHRISTIANI, DAVID C · 2005 to 2025
$30.5M
Environmental Chemicals, Exosomal miRNAs in Ovarian Follicles, and IVF SuccessR21ES024236 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI HAUSER, RUSS B · 2014 to 2015
$470k
NIEHS NIH HHS P30 ES000002NIEHS NIH HHS R21 ES024236NIOSH CDC HHS T42 OH008416
6 · The paper itself

Abstract

objectiveTo study whether increased body mass index is associated with altered expression of extracellular vesicle microRNAs (EV-linked miRNAs) in human follicular fluid.

designCross-sectional study.

settingTertiary-care university-affiliated center. PATIENT(S): One hundred thirty-three women undergoing in vitro fertilization (IVF) were recruited from January 2014 to August 2016. INTERVENTIONS(S): None. MAIN OUTCOME MEASURE(S): EV-linked miRNAs were isolated from follicular fluid and their expression profiles were measured with the use of the Taqman Open Array Human miRNA panel. EV-linked miRNAs were globally normalized and inverse-normal transformed. Associations between body mass index (BMI) and EV-linked miRNA outcomes were analyzed by means of multivariate linear regression and principal component analysis. RESULT(S): Eighteen EV-linked miRNAs were associated with an increase in BMI after adjusting for age, ethnicity, smoking status, and batch effects. Hsa-miR-328 remained significant after false discovery rate adjustments. Principal component analyses identified the first principal component to account for 40% of the variation in our EV-linked miRNA dataset, and adjusted linear regression found that the first principal component was significantly associated with BMI after multiple testing adjustments. Using Kyoto Encyclopedia of Genes and Genomes enrichment analyses, we predicted gene targets of EV-linked miRNA in silico and identified PI3K-Akt signaling, ECM-receptor interaction, focal adhesion, FoxO signaling, and oocyte meiosis pathways. CONCLUSION(S): These results show that a 1-unit increase in BMI is associated with altered follicular fluid expression of EV-linked miRNAs that may influence follicular and oocyte developmental pathways. Our findings provide potential insight into a mechanistic explanation for the reduced fertility rates associated with increased BMI.

Indexed as

Body Mass IndexAdultCross-Sectional StudiesExtracellular VesiclesFemaleFertilization in VitroFollicular FluidHumansMicroRNAsOogenesisTranscriptomeYoung AdultMicroRNAsBMIextracellular vesiclesIVFmicroRNAs

Identifiers

PMID31146888
PMCPMC6663626
OpenAlexW2947376579

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.