Evidence map›Paper›PMID 34326348›Full record

ArticleScientific reports2021

Maternal biological age assessed in early pregnancy is associated with gestational age at birth.

Eva E Lancaster, Dana M Lapato, Colleen Jackson-Cook, Jerome F Strauss, Roxann Roberson-Nay, Timothy P York

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Genetics, epigenetics, and transcriptomics of preterm birth.American journal of reproductive immunology (New York, N.Y. : 1989) · 2022
    Review
  10. Article
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

6 authors at 1 institution in 1 country.

Eva E LancasterDepartment of Psychiatry, Virginia Commonwealth University, Richmond, VA, 23220, USA. Eva.Lancaster@vcuhealth.org.
Dana M LapatoDepartment of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, 23220, USA.
Colleen Jackson-CookDepartment of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, 23220, USA.
Jerome F StraussDepartment of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, 23220, USA.
Roxann Roberson-NayDepartment of Psychiatry, Virginia Commonwealth University, Richmond, VA, 23220, USA.
Timothy P YorkDepartment of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, 23220, USA.
Virginia Commonwealth University · US

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Trevor M Penning · 2006 to 2026
$35.3M
Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
VCU NIMHD Comprehensive Center of Excellence (Project 1; PI: Strauss)P60MD002256 · NIMHD · VIRGINIA COMMONWEALTH UNIVERSITY · PI BRADLEY, CATHY J · 2007 to 2016
$13.1M
Center for Clinical and Translational ResearchUL1TR000058 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2012 to 2015
$12.5M
Research Training: Psychiatric &Statistical GeneticsT32MH020030 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI HERMINE H MAES, MICHAEL CHURTON NEALE · 1999 to 2026
$6.7M
NCATS NIH HHS UL1 TR000058NCATS NIH HHS UL1 TR002649NIEHS NIH HHS P30 ES013508NIMHD NIH HHS P60 MD002256NIMH NIH HHS T32 MH020030
6 · The paper itself

Abstract

Maternal age is an established predictor of preterm birth independent of other recognized risk factors. The use of chronological age makes the assumption that individuals age at a similar rate. Therefore, it does not capture interindividual differences that may exist due to genetic background and environmental exposures. As a result, there is a need to identify biomarkers that more closely index the rate of cellular aging. One potential candidate is biological age (BA) estimated by the DNA methylome. This study investigated whether maternal BA, estimated in either early and/or late pregnancy, predicts gestational age at birth. BA was estimated from a genome-wide DNA methylation platform using the Horvath algorithm. Linear regression methods assessed the relationship between BA and pregnancy outcomes, including gestational age at birth and prenatal perceived stress, in a primary and replication cohort. Prenatal BA estimates from early pregnancy explained variance in gestational age at birth above and beyond the influence of other recognized preterm birth risk factors. Sensitivity analyses indicated that this signal was driven primarily by self-identified African American participants. This predictive relationship was sensitive to small variations in the BA estimation algorithm. Benefits and limitations of using BA in translational research and clinical applications for preterm birth are considered.

Indexed as

Gestational AgeMaternal AgeParturitionAdolescentAdultAgingAlgorithmsBlack or African AmericanCellular SenescenceDNA MethylationEpigenesis, GeneticFemaleHumansInfant, NewbornLongitudinal StudiesPregnancy

Identifiers

PMID34326348
PMCPMC8322056
OpenAlexW3186136312

What OpenQuestion holds

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LicenceCC BY
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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.