Evidence map›Paper›PMID 32959224›Full record

ArticleReproductive sciences (Thousand Oaks, Calif.)2021

EBF1-Correlated Long Non-coding RNA Transcript Levels in 3rd Trimester Maternal Blood and Risk of Spontaneous Preterm Birth.

Guoli Zhou, Claudia Holzman, Bin Chen, Ping Wang, Yujing J Heng, Mark Kibschull, Stephen J Lye, Eric P Kasten

Abstract read
PubMed Publisher
In one paragraph

Article in Reproductive sciences (Thousand Oaks, Calif.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 43% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Protective Effect ofInternational journal of molecular sciences · 2024
    Article
  3. Review
  4. Review
  5. Review
  6. The Role of Genetics in Preterm Birth.Reproductive sciences (Thousand Oaks, Calif.) · 2023
    Review
  7. Review
  8. Article
  9. Systematic review of preterm birth multi-omic biomarker studies.Expert reviews in molecular medicine · 2022
    Review
  10. Article
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Guoli ZhouClinical & Translational Sciences Institute, Michigan State University, East Lansing, MI, USA. zhoug@msu.edu.ORCID 0000-0002-4497-5366
Claudia HolzmanDepartment of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA.
Bin ChenDepartment of Pediatrics and Human Development, Michigan State University, East Lansing, MI, USA.
Ping WangPrecision Health Program, Michigan State University, East Lansing, MI, USA.
Yujing J HengDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Mark KibschullDepartments of Obstetrics & Gynaecology and Physiology, University of Toronto, Toronto, ON, Canada.
Stephen J LyeDepartments of Obstetrics & Gynaecology and Physiology, University of Toronto, Toronto, ON, Canada.
Eric P KastenClinical & Translational Sciences Institute, Michigan State University, East Lansing, MI, USA.
Michigan State University · USUniversity of Toronto · CABeth Israel Deaconess Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers associated with spontaneous preterm birth (sPTB) before labor onset could aid in prediction, triage, and stratification for testing interventions. In this study we examined maternal blood EBF1-correlated long non-coding RNAs (lncRNAs) in relation to sPTB. We retrieved all lncRNA transcripts from a public gene expression dataset (GSE59491) derived from maternal blood in trimesters 2 and 3 from a Canadian cohort with a matched set of sPTB (n = 51) and term births (n = 106). LncRNA transcripts differentially expressed (limma moderated t-tests) in sPTB vs. term were tested for correlations (Pearson) with EBF1 mRNA levels in the same blood samples. Using logistic regression, EBF1-correlated lncRNAs were divided into tertiles and assessed in relation to odds of sPTB. Two lncRNA transcripts in the 3rd trimester maternal blood were differentially expressed between sPTB and term births (all p < 0.001 and FDR < 0.250) and positively and negatively correlated with EBF1 mRNA levels. They were as follows: (1) LINC00094 r = 0.196 (95% CI: 0.039 to 0.344), p = 0.015, and BH adjusted p = 0.022 and (2) LINC00870 r = - 0.303 (95% CI: - 0.441 to - 0.152), p < 0.001, and BH adjusted p < 0.001. As compared with term births, sPTBs were more likely to be in the highest tertile of LINC00870 (odds ratio (OR) = 4.08 (95% CI 1.60, 10.40), p = 0.003) and the lowest tertile of LINC00094 (OR = 5.16 (95% CI 1.96, 13.61), p < 0.001). Two sPTB-associated EBF1-correlated lncRNAs (LINC00870 and LINC00094) had multiple potential enhancers containing EBF1 binding site(s). Our current findings, along with previous reports linking EBF1 and sPTB, motivate additional research on the EBF1 gene-related gene expression and regulation in relation to sPTB within other cohorts and within laboratory-based models.

Indexed as

Case-Control StudiesCell-Free Nucleic AcidsComputational BiologyDatabases, GeneticFemaleHumansOligonucleotide Array Sequence AnalysisPregnancyPregnancy Trimester, ThirdPremature BirthRisk AssessmentRisk FactorsRNA, Long NoncodingTrans-ActivatorsCell-Free Nucleic AcidsEBF1 protein, humanRNA, Long NoncodingTrans-ActivatorsCo-expression analysisEBF1lncRNA transcriptSpontaneous preterm birth

Identifiers

PMID32959224
OpenAlexW3087030225

What OpenQuestion holds

Textmetadata
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.