Evidence map›Paper›PMID 39298419›Full record

ArticlePloS one2024

Cell-type specific methylation changes in the newborn child associated to obstetric pain relief.

Charles J Tran, Thomas L Campbell, Ralen H Johnson, Lin Y Xie, Christina M Hultman, Edwin J C G van den Oord, Karolina A Aberg

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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Charles J TranCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, United States of America.
Thomas L CampbellCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, United States of America.ORCID 0009-0008-3835-7749
Ralen H JohnsonCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, United States of America.
Lin Y XieCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, United States of America.
Christina M HultmanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Edwin J C G van den OordCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, United States of America.
Karolina A AbergCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, United States of America.ORCID 0000-0001-6103-5168

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although it is widely known that various pharmaceuticals affect the methylome, the knowledge of the effects from anesthesia is limited, and nearly nonexistent regarding the effects of obstetric anesthesia on the newborn child. Using sequencing based-methylation data and a reference-based statistical deconvolution approach we performed methylome-wide association studies (MWAS) of neonatal whole blood, and for each cell-type specifically, to detect methylation variations that are associated with the pain relief administered to the mother during delivery. Significant findings were replicated in a different dataset and followed-up with gene ontology analysis to pinpoint biological functions of potential relevance to these neonatal methylation alterations. The MWAS analyses detected methylome-wide significant (q<0.1) alterations in the newborn for laughing gas in granulocytes (two CpGs, p<5.50x10-9, q = 0.067), and for pudendal block in monocytes (five CpGs across three loci, p<1.51 x10-8, q = 0.073). Suggestively significant findings (p<1.00x10-6) were detected for both treatments for bulk and all cell-types, and replication analyses showed consistent significant enrichment (odds ratios ranging 3.47-39.02; p<4.00×10-4) for each treatment, suggesting our results are robust. In contrast, we did not observe any overlap across treatments, suggesting that the treatments are associated with different alterations of the neonatal blood methylome. Gene ontology analyses of the replicating suggestively significant results indicated functions related to, for example, cell differentiation, intracellular membrane-bound organelles and calcium transport. In conclusion, for the first time, we investigated and detected effect of obstetric pain-relief on the blood methylome in the newborn child. The observed differences suggest that anesthetic treatment, such as laughing gas or pudendal block, may alter the neonatal methylome in a cell-type specific manner. Some of the observed alterations are part of gene ontology terms that previously have been suggested in relation to anesthetic treatment, supporting its potential role also in obstetric anesthesia.

Indexed as

DNA MethylationCpG IslandsEpigenomeFemaleGenome-Wide Association StudyHumansInfant, NewbornMonocytesPain ManagementPregnancy

Identifiers

PMID39298419
PMCPMC11412656

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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.