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Enrichment of genomic pathways based on differential DNA methylation profiles associated with knee osteoarthritis pain

Our study aimed to identify differentially methylated regions (i.e., genomic region where multiple adjacent CpG sites show differential methylation) and their enriched genomic pathways associated with knee osteoarthritis pain (KOA). We recruited cognitively healthy middle to older aged (age 45–85) a...

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Autores principales: Montesino-Goicolea, Soamy, Meng, Lingsong, Rani, Asha, Huo, Zhiguang, Foster, Thomas C., Fillingim, Roger B., Cruz-Almeida, Yenisel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755025/
https://www.ncbi.nlm.nih.gov/pubmed/36531611
http://dx.doi.org/10.1016/j.ynpai.2022.100107
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author Montesino-Goicolea, Soamy
Meng, Lingsong
Rani, Asha
Huo, Zhiguang
Foster, Thomas C.
Fillingim, Roger B.
Cruz-Almeida, Yenisel
author_facet Montesino-Goicolea, Soamy
Meng, Lingsong
Rani, Asha
Huo, Zhiguang
Foster, Thomas C.
Fillingim, Roger B.
Cruz-Almeida, Yenisel
author_sort Montesino-Goicolea, Soamy
collection PubMed
description Our study aimed to identify differentially methylated regions (i.e., genomic region where multiple adjacent CpG sites show differential methylation) and their enriched genomic pathways associated with knee osteoarthritis pain (KOA). We recruited cognitively healthy middle to older aged (age 45–85) adults with (n = 182) and without (n = 31) self-reported KOA pain. We also extracted DNA from peripheral blood that was analyzed using MethylationEPIC arrays. The R package minfi (Aryee et al., 2014) was used to perform methylation data preprocessing and quality control. To investigate biological pathways impacted by differential methylation, we performed pathway enrichment analysis using Ingenuity Pathway Analysis (IPA) to identify canonical pathways and upstream regulators. Annotated genes within ± 5 kb of the putative differentially methylated regions (DMRs, p < 0.05) were subjected to the IPA analysis. There was no significant difference in age, sex, study site between no pain and pain group (p > 0.05). Non-Hispanic black individuals were overrepresented in the pain group (p = 0.003). At raw p < 0.05 cutoff, we identified a total of 19,710 CpG probes, including 13,951 hypermethylated CpG probes, for which DNA methylation level was higher in the groups with highest pain grades. We also identified 5,759 hypomethylated CpG probes for which DNA methylation level was lower in the pain groups with higher pain grades. IPA revealed that pain-related DMRs were enriched across multiple pathways and upstream regulators. The top 10 canonical pathways were linked to cellular signaling processes related to immune responses (i.e., antigen presentation, PD-1, PD-L1 cancer immunotherapy, B cell development, IL-4 signaling, Th1 and Th2 activation pathway, and phagosome maturation). Moreover, in terms of upstream regulators, NDUFAF3 was the most significant (p = 8.6E-04) upstream regulator. Our findings support previous preliminary work suggesting the importance of epigenetic regulation of the immune system in knee pain and the need for future work to understand the epigenetic contributions to chronic pain.
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spelling pubmed-97550252022-12-17 Enrichment of genomic pathways based on differential DNA methylation profiles associated with knee osteoarthritis pain Montesino-Goicolea, Soamy Meng, Lingsong Rani, Asha Huo, Zhiguang Foster, Thomas C. Fillingim, Roger B. Cruz-Almeida, Yenisel Neurobiol Pain Original Research Our study aimed to identify differentially methylated regions (i.e., genomic region where multiple adjacent CpG sites show differential methylation) and their enriched genomic pathways associated with knee osteoarthritis pain (KOA). We recruited cognitively healthy middle to older aged (age 45–85) adults with (n = 182) and without (n = 31) self-reported KOA pain. We also extracted DNA from peripheral blood that was analyzed using MethylationEPIC arrays. The R package minfi (Aryee et al., 2014) was used to perform methylation data preprocessing and quality control. To investigate biological pathways impacted by differential methylation, we performed pathway enrichment analysis using Ingenuity Pathway Analysis (IPA) to identify canonical pathways and upstream regulators. Annotated genes within ± 5 kb of the putative differentially methylated regions (DMRs, p < 0.05) were subjected to the IPA analysis. There was no significant difference in age, sex, study site between no pain and pain group (p > 0.05). Non-Hispanic black individuals were overrepresented in the pain group (p = 0.003). At raw p < 0.05 cutoff, we identified a total of 19,710 CpG probes, including 13,951 hypermethylated CpG probes, for which DNA methylation level was higher in the groups with highest pain grades. We also identified 5,759 hypomethylated CpG probes for which DNA methylation level was lower in the pain groups with higher pain grades. IPA revealed that pain-related DMRs were enriched across multiple pathways and upstream regulators. The top 10 canonical pathways were linked to cellular signaling processes related to immune responses (i.e., antigen presentation, PD-1, PD-L1 cancer immunotherapy, B cell development, IL-4 signaling, Th1 and Th2 activation pathway, and phagosome maturation). Moreover, in terms of upstream regulators, NDUFAF3 was the most significant (p = 8.6E-04) upstream regulator. Our findings support previous preliminary work suggesting the importance of epigenetic regulation of the immune system in knee pain and the need for future work to understand the epigenetic contributions to chronic pain. Elsevier 2022-11-03 /pmc/articles/PMC9755025/ /pubmed/36531611 http://dx.doi.org/10.1016/j.ynpai.2022.100107 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Original Research
Montesino-Goicolea, Soamy
Meng, Lingsong
Rani, Asha
Huo, Zhiguang
Foster, Thomas C.
Fillingim, Roger B.
Cruz-Almeida, Yenisel
Enrichment of genomic pathways based on differential DNA methylation profiles associated with knee osteoarthritis pain
title Enrichment of genomic pathways based on differential DNA methylation profiles associated with knee osteoarthritis pain
title_full Enrichment of genomic pathways based on differential DNA methylation profiles associated with knee osteoarthritis pain
title_fullStr Enrichment of genomic pathways based on differential DNA methylation profiles associated with knee osteoarthritis pain
title_full_unstemmed Enrichment of genomic pathways based on differential DNA methylation profiles associated with knee osteoarthritis pain
title_short Enrichment of genomic pathways based on differential DNA methylation profiles associated with knee osteoarthritis pain
title_sort enrichment of genomic pathways based on differential dna methylation profiles associated with knee osteoarthritis pain
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755025/
https://www.ncbi.nlm.nih.gov/pubmed/36531611
http://dx.doi.org/10.1016/j.ynpai.2022.100107
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