Evidence map›Paper›PMID 35733189›Full record

ArticleClinical epigenetics2022

Maternal epigenetic clocks measured during pregnancy do not predict gestational age at delivery or offspring birth outcomes: a replication study in metropolitan Cebu, Philippines.

Calen P Ryan, Raviraj J Rege, Nanette R Lee, Delia B Carba, Michael S Kobor, Julie L MacIsaac, David S Lin, Parmida Atashzay, Christopher W Kuzawa

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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  4. 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

9 authors at 6 institutions in 3 countries.

Calen P RyanDepartment of Epidemiology, Robert N. Butler Columbia Aging Center, Columbia University Mailman School of Public Health, Columbia University, New York, NY, 10032, USA. cpr2139@cumc.columbia.edu.
Raviraj J RegeDepartment of Anthropology, Northwestern University, Evanston, IL, 60208, USA.
Nanette R LeeUSC-Office of Population Studies Foundation, University of San Carlos, Talamban, Cebu City, Philippines.
Delia B CarbaUSC-Office of Population Studies Foundation, University of San Carlos, Talamban, Cebu City, Philippines.
Michael S KoborDepartment of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
Julie L MacIsaacDepartment of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
David S LinBC Children's Hospital Research Institute, University of British Columbia, Vancouver, Canada.
Parmida AtashzayDepartment of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
Christopher W KuzawaDepartment of Anthropology, Northwestern University, Evanston, IL, 60208, USA.
Foundation University · PHNorthwestern University · USUniversity of British Columbia · CABC Children's Hospital · CAColumbia University · USiCo Therapeutics (Canada) · CA

Funding

Lifecourse determinants and outcomes of epigenetic age acceleration across two generationsR01AG061006 · NIA · NORTHWESTERN UNIVERSITY · PI KUZAWA, CHRISTOPHER · 2019 to 2023
$2.6M
NIA NIH HHS R01 AG061006
6 · The paper itself

Abstract

Adverse birth outcomes, such as early gestational age and low birth weight, can have lasting effects on morbidity and mortality, with impacts that persist into adulthood. Identifying the maternal factors that contribute to adverse birth outcomes in the next generation is thus a priority. Epigenetic clocks, which have emerged as powerful tools for quantifying biological aging and various dimensions of physiological dysregulation, hold promise for clarifying relationships between maternal biology and infant health, including the maternal factors or states that predict birth outcomes. Nevertheless, studies exploring the relationship between maternal epigenetic age and birth outcomes remain few. Here, we attempt to replicate a series of analyses previously reported in a US-based sample, using a larger similarly aged sample (n = 296) of participants of a long-running study in the Philippines. New pregnancies were identified prospectively, dried blood spot samples were collected during the third trimester, and information was obtained on gestational age at delivery and offspring weight after birth. Genome-wide DNA methylation was assessed with the Infinium EPIC array. Using a suite of 15 epigenetic clocks, we only found one significant relationship: advanced age on the epigenetic clock trained on leptin predicted a significantly earlier gestational age at delivery (β = - 0.15, p = 0.009). Of the other 29 relationships tested predicting gestational age and offspring birth weight, none were statistically significant. In this sample of Filipino women, epigenetic clocks capturing multiple dimensions of biology and health do not predict birth outcomes in offspring.

Indexed as

CebusPregnancy ComplicationsAdultAgedAnimalsBirth WeightDNA MethylationEpigenesis, GeneticFemaleGestational AgeHumansPhilippinesPregnancyAgingDOHaDEpigenetic clocksPregnancySenescence

Identifiers

PMID35733189
PMCPMC9219190
OpenAlexW4283317994

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.