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Martinez, David
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Publications (2 of 2) Show all publications
Huoman, J., Martinez-Enguita, D., Olsson, E., Ernerudh, J., Nilsson, L., Duchén, K., . . . Jenmalm, M. (2021). Combined prenatal Lactobacillus reuteri and omega-3 supplementation synergistically modulates DNA methylation in neonatal T helper cells. Clinical Epigenetics, 13(1), Article ID 135.
Open this publication in new window or tab >>Combined prenatal Lactobacillus reuteri and omega-3 supplementation synergistically modulates DNA methylation in neonatal T helper cells
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2021 (English)In: Clinical Epigenetics, ISSN 1868-7075, Vol. 13, no 1, article id 135Article in journal (Refereed) Published
Abstract [en]

BackgroundEnvironmental exposures may alter DNA methylation patterns of T helper cells. As T helper cells are instrumental for allergy development, changes in methylation patterns may constitute a mechanism of action for allergy preventive interventions. While epigenetic effects of separate perinatal probiotic or omega -3 fatty acid supplementation have been studied previously, the combined treatment has not been assessed. We aimed to investigate epigenome-wide DNA methylation patterns from a sub-group of children in an on-going randomised double-blind placebo-controlled allergy prevention trial using pre- and postnatal combined Lactobacillus reuteri and omega -3 fatty acid treatment. To this end,>866000 CpG sites (MethylationEPIC 850K array) in cord blood CD4+ T cells were examined in samples from all four study arms (double-treatment: n=18, single treatments: probiotics n=16, omega -3 n=15, and double placebo: n=14). Statistical and bioinformatic analyses identified treatment-associated differentially methylated CpGs and genes, which were used to identify putatively treatment-induced network modules. Pathway analyses inferred biological relevance, and comparisons were made to an independent allergy data set.ResultsComparing the active treatments to the double placebo group, most differentially methylated CpGs and genes were hypermethylated, possibly suggesting induction of transcriptional inhibition. The double-treated group showed the largest number of differentially methylated CpGs, of which many were unique, suggesting synergy between interventions. Clusters within the double-treated network module consisted of immune-related pathways, including T cell receptor signalling, and antigen processing and presentation, with similar pathways revealed for the single-treatment modules. CpGs derived from differential methylation and network module analyses were enriched in an independent allergy data set, particularly in the double-treatment group, proposing treatment-induced DNA methylation changes as relevant for allergy development.ConclusionPrenatal L. reuteri and/or omega -3 fatty acid treatment results in hypermethylation and affects immune- and allergy-related pathways in neonatal T helper cells, with potentially synergistic effects between the interventions and relevance for allergic disease. Further studies need to address these findings on a transcriptional level, and whether the results associate to allergy development in the children. Understanding the role of DNA methylation in regulating effects of perinatal probiotic and omega -3 interventions may provide essential knowledge in the development of efficacious allergy preventive strategies.Trial registration ClinicalTrials.gov, ClinicalTrials.gov-ID: NCT01542970. Registered 27th of February 2012-Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT01542970.

Place, publisher, year, edition, pages
BMC, 2021
Keywords
Allergy prevention; Combined intervention; Cord blood; CD4+T cells; DNA methylation; Lactobacillus reuteri; MethylationEPIC 850K; omega-3 fatty acids; Prenatal; Postnatal
National Category
Psychiatry
Identifiers
urn:nbn:se:liu:diva-180073 (URN)10.1186/s13148-021-01115-4 (DOI)000670704300003 ()34193262 (PubMedID)2-s2.0-85109044429 (Scopus ID)
Note

Funding Agencies|Linkoping University; Swedish Research CouncilSwedish Research CouncilEuropean Commission [2016-01698, 201900989]; Swedish Heart and Lung FoundationSwedish Heart-Lung Foundation [20140321, 20170365]; Cancer and Allergy Foundation; Medical Research Council of Southeast SwedenUK Research & Innovation (UKRI)Medical Research Council UK (MRC) [FORSS-666771, FORSS-758981]

Available from: 2021-10-08 Created: 2021-10-08 Last updated: 2025-09-30Bibliographically approved
de Weerd, H. A., Badam, T. V., Martinez, D., Åkesson, J., Muthas, D., Gustafsson, M. & Lubovac-Pilav, Z. (2020). MODifieR: an Ensemble R Package for Inference of Disease Modules from Transcriptomics Networks. Bioinformatics, 36(12), 3918-3919
Open this publication in new window or tab >>MODifieR: an Ensemble R Package for Inference of Disease Modules from Transcriptomics Networks
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2020 (English)In: Bioinformatics, ISSN 1367-4803, E-ISSN 1367-4811, Vol. 36, no 12, p. 3918-3919Article in journal (Refereed) Published
Abstract [en]

Motivation: Complex diseases are due to the dense interactions of many disease-associated factors that dysregulate genes that in turn form the so-called disease modules, which have shown to be a powerful concept for understanding pathological mechanisms. There exist many disease module inference methods that rely on somewhat different assumptions, but there is still no gold standard or best-performing method. Hence, there is a need for combining these methods to generate robust disease modules. Results: We developed MODule IdentiFIER (MODifieR), an ensemble R package of nine disease module inference methods from transcriptomics networks. MODifieR uses standardized input and output allowing the possibility to combine individual modules generated from these methods into more robust disease-specific modules, contributing to a better understanding of complex diseases.

Place, publisher, year, edition, pages
OXFORD UNIV PRESS, 2020
National Category
Bioinformatics and Computational Biology
Identifiers
urn:nbn:se:liu:diva-168277 (URN)10.1093/bioinformatics/btaa235 (DOI)000550127500051 ()32271876 (PubMedID)2-s2.0-85087321319 (Scopus ID)
Note

Funding Agencies|Knowledge Foundation; Swedish Research CouncilSwedish Research Council; Swedish foundation for strategic researchSwedish Foundation for Strategic Research

Available from: 2020-08-21 Created: 2020-08-21 Last updated: 2025-11-04Bibliographically approved
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