Evidence map›Paper›PMID 32708910›Full record

ArticleInternational journal of molecular sciences2020

Epigenome Wide Association and Stochastic Epigenetic Mutation Analysis on Cord Blood of Preterm Birth.

Elena Spada, Luciano Calzari, Luigi Corsaro, Teresa Fazia, Monica Mencarelli, Anna Maria Di Blasio, Luisa Bernardinelli, Giulia Zangheri, Michele Vignali, Davide Gentilini

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

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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

10 authors.

Elena SpadaDepartment of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy.
Luciano CalzariBioinformatics and Statistical Genomics Unit, Istituto Auxologico Italiano IRCCS, Cusano Milanino, 20095 Milano, Italy.ORCID 0000-0003-4283-0988
Luigi CorsaroDepartment of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy.
Teresa FaziaDepartment of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-9577-8450
Monica MencarelliMolecular Biology Laboratory, Istituto Auxologico Italiano IRCCS, Cusano Milanino, 20095 Milano, Italy.
Anna Maria Di BlasioMolecular Biology Laboratory, Istituto Auxologico Italiano IRCCS, Cusano Milanino, 20095 Milano, Italy.
Luisa BernardinelliDepartment of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-7551-6664
Giulia ZangheriDepartment of Biomedical Science for the Health, University of Milan, Macedonio Melloni Hospital, 20129 Milan, Italy.
Michele VignaliDepartment of Biomedical Science for the Health, University of Milan, Macedonio Melloni Hospital, 20129 Milan, Italy.ORCID 0000-0002-9806-3741
Davide GentiliniDepartment of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preterm birth (PTB) can be defined as the endpoint of a complex process that could be influenced by maternal and environmental factors. Epigenetics recently emerged as an interesting field of investigation since it represents an important mechanism of regulation. This study evaluates epigenetic impact of preterm birth on DNA methylation. Genome-wide DNAm was measured using the Illumina 450K array in cord blood samples obtained from 72 full term and 18 preterm newborns. Lymphocyte composition was calculated based on specific epigenetic markers that are present on the 450k array. Differential methylation analysis was performed both at site and region level; moreover, stochastic epigenetic mutations (SEMs) were also evaluated. The study showed significant differences in blood cell composition between the two groups. Moreover, after multiple testing correction, statistically significant differences in DNA methylation levels emerged between the two groups both at site and region levels. Results obtained were compared to those reported by previous EWAS, leading to a list of more consistent genes associated with PTB. Finally, the SEMs analysis revealed that the burden of SEMs resulted significantly higher in the preterm group. In conclusion, PTB resulted associated to specific epigenetic signatures that involve immune system. Moreover, SEMs analysis revealed an increased epigenetic drift at birth in the preterm group.

Indexed as

EpigenomeDNA MethylationDNA Mutational AnalysisEpigenesis, GeneticFemaleGenome-Wide Association StudyHumansInfantInfant, NewbornMaleMutationPremature BirthStochastic ProcessesDNA-methylationgenome-wideInfinium Human Methylation 450K BeadChippreterm birthstochastic epigenetic mutations

Identifiers

PMID32708910
PMCPMC7403978

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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.