NSAIDs use history: impact on the genome-wide DNA methylation profile and possible mechanisms of action
Background and objective NSAIDs inhibit cyclooxygenase, but their role in aging and other diseases is not well understood. Our group previously showed the potential benefit of NSAIDs in decreasing the risk of delirium and mortality. Concurrently, epigenetics signals have also been associated with de...
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creator | Marra, Pedro S. Nishizawa, Yoshitaka Yamanashi, Takehiko Sullivan, Eleanor J. Comp, Katie R. Crutchley, Kaitlyn J. Wahba, Nadia E. Shibata, Kazuki Nishiguchi, Tsuyoshi Yamanishi, Kyosuke Noiseux, Nicolas O. Karam, Matthew D. Shinozaki, Gen |
description | Background and objective
NSAIDs inhibit cyclooxygenase, but their role in aging and other diseases is not well understood. Our group previously showed the potential benefit of NSAIDs in decreasing the risk of delirium and mortality. Concurrently, epigenetics signals have also been associated with delirium. Therefore, we sought to find differentially methylated genes and biological pathways related to exposure with NSAIDs by comparing the genome-wide DNA methylation profiles of patients with and without a history of NSAIDs use.
Methods
Whole blood samples were collected from 171 patients at the University of Iowa Hospital and Clinics from November 2017 to March 2020. History of NSAIDs use was assessed through a word-search function in the subjects’ electronic medical records. DNA was extracted from the blood samples, processed with bisulfite conversion, and analyzed using Illumina’s EPIC array. The analysis of top differentially methylated CpG sites and subsequent enrichment analysis were conducted using an established pipeline using R statistical software.
Results
Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) showed several biological pathways relevant to NSAIDs’ function. The identified GO terms included “arachidonic acid metabolic process,” while KEGG results included “linoleic acid metabolism,” “cellular senescence,” and “circadian rhythm.” Nonetheless, none of the top GO and KEGG pathways and the top differentially methylated CpG sites reached statistical significance.
Conclusion
Our results suggest a potential role of epigenetics in the mechanisms of the action of NSAIDs. However, the results should be viewed with caution as exploratory and hypothesis-generating given the lack of statistically significant findings. |
doi_str_mv | 10.1007/s10238-023-01119-9 |
format | Article |
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NSAIDs inhibit cyclooxygenase, but their role in aging and other diseases is not well understood. Our group previously showed the potential benefit of NSAIDs in decreasing the risk of delirium and mortality. Concurrently, epigenetics signals have also been associated with delirium. Therefore, we sought to find differentially methylated genes and biological pathways related to exposure with NSAIDs by comparing the genome-wide DNA methylation profiles of patients with and without a history of NSAIDs use.
Methods
Whole blood samples were collected from 171 patients at the University of Iowa Hospital and Clinics from November 2017 to March 2020. History of NSAIDs use was assessed through a word-search function in the subjects’ electronic medical records. DNA was extracted from the blood samples, processed with bisulfite conversion, and analyzed using Illumina’s EPIC array. The analysis of top differentially methylated CpG sites and subsequent enrichment analysis were conducted using an established pipeline using R statistical software.
Results
Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) showed several biological pathways relevant to NSAIDs’ function. The identified GO terms included “arachidonic acid metabolic process,” while KEGG results included “linoleic acid metabolism,” “cellular senescence,” and “circadian rhythm.” Nonetheless, none of the top GO and KEGG pathways and the top differentially methylated CpG sites reached statistical significance.
Conclusion
Our results suggest a potential role of epigenetics in the mechanisms of the action of NSAIDs. However, the results should be viewed with caution as exploratory and hypothesis-generating given the lack of statistically significant findings.</description><identifier>ISSN: 1591-9528</identifier><identifier>ISSN: 1591-8890</identifier><identifier>EISSN: 1591-9528</identifier><identifier>DOI: 10.1007/s10238-023-01119-9</identifier><identifier>PMID: 37341931</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Arachidonic acid ; Bisulfite ; Central pattern generator ; Circadian rhythms ; Delirium ; DNA methylation ; Electronic medical records ; Epigenetics ; Genomes ; Hematology ; Internal Medicine ; Linoleic acid ; Medicine ; Medicine & Public Health ; Nonsteroidal anti-inflammatory drugs ; Oncology ; Patients ; Prostaglandin endoperoxide synthase ; Senescence ; Statistical analysis ; Statistics</subject><ispartof>Clinical and experimental medicine, 2023-11, Vol.23 (7), p.3509-3516</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-9687bb632476ec8993b0615c93a25974cf2fd89bea0e53f0c6908b5dbdc117b3</citedby><cites>FETCH-LOGICAL-c375t-9687bb632476ec8993b0615c93a25974cf2fd89bea0e53f0c6908b5dbdc117b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10238-023-01119-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10238-023-01119-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37341931$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Marra, Pedro S.</creatorcontrib><creatorcontrib>Nishizawa, Yoshitaka</creatorcontrib><creatorcontrib>Yamanashi, Takehiko</creatorcontrib><creatorcontrib>Sullivan, Eleanor J.</creatorcontrib><creatorcontrib>Comp, Katie R.</creatorcontrib><creatorcontrib>Crutchley, Kaitlyn J.</creatorcontrib><creatorcontrib>Wahba, Nadia E.</creatorcontrib><creatorcontrib>Shibata, Kazuki</creatorcontrib><creatorcontrib>Nishiguchi, Tsuyoshi</creatorcontrib><creatorcontrib>Yamanishi, Kyosuke</creatorcontrib><creatorcontrib>Noiseux, Nicolas O.</creatorcontrib><creatorcontrib>Karam, Matthew D.</creatorcontrib><creatorcontrib>Shinozaki, Gen</creatorcontrib><title>NSAIDs use history: impact on the genome-wide DNA methylation profile and possible mechanisms of action</title><title>Clinical and experimental medicine</title><addtitle>Clin Exp Med</addtitle><addtitle>Clin Exp Med</addtitle><description>Background and objective
NSAIDs inhibit cyclooxygenase, but their role in aging and other diseases is not well understood. Our group previously showed the potential benefit of NSAIDs in decreasing the risk of delirium and mortality. Concurrently, epigenetics signals have also been associated with delirium. Therefore, we sought to find differentially methylated genes and biological pathways related to exposure with NSAIDs by comparing the genome-wide DNA methylation profiles of patients with and without a history of NSAIDs use.
Methods
Whole blood samples were collected from 171 patients at the University of Iowa Hospital and Clinics from November 2017 to March 2020. History of NSAIDs use was assessed through a word-search function in the subjects’ electronic medical records. DNA was extracted from the blood samples, processed with bisulfite conversion, and analyzed using Illumina’s EPIC array. The analysis of top differentially methylated CpG sites and subsequent enrichment analysis were conducted using an established pipeline using R statistical software.
Results
Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) showed several biological pathways relevant to NSAIDs’ function. The identified GO terms included “arachidonic acid metabolic process,” while KEGG results included “linoleic acid metabolism,” “cellular senescence,” and “circadian rhythm.” Nonetheless, none of the top GO and KEGG pathways and the top differentially methylated CpG sites reached statistical significance.
Conclusion
Our results suggest a potential role of epigenetics in the mechanisms of the action of NSAIDs. However, the results should be viewed with caution as exploratory and hypothesis-generating given the lack of statistically significant findings.</description><subject>Arachidonic acid</subject><subject>Bisulfite</subject><subject>Central pattern generator</subject><subject>Circadian rhythms</subject><subject>Delirium</subject><subject>DNA methylation</subject><subject>Electronic medical records</subject><subject>Epigenetics</subject><subject>Genomes</subject><subject>Hematology</subject><subject>Internal Medicine</subject><subject>Linoleic acid</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Nonsteroidal anti-inflammatory drugs</subject><subject>Oncology</subject><subject>Patients</subject><subject>Prostaglandin endoperoxide synthase</subject><subject>Senescence</subject><subject>Statistical analysis</subject><subject>Statistics</subject><issn>1591-9528</issn><issn>1591-8890</issn><issn>1591-9528</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kclOwzAQhi0EoqXwAhyQJS5cAnacxeZWtSyVqnKgd8t2Jq2rLCVOhPr2uKQs4sBlbGu--Wc8P0KXlNxSQtI7R0nIeOBDQCilIhBHaEhjQQMRh_z4132AzpzbEEJjzsgpGrCURVQwOkSrxet4NnW4c4DX1rV1s7vHttwq0-K6wu0a8AqquoTg3WaAp4sxLqFd7wrVWp_fNnVuC8CqyvC2ds5q_yjBrFVlXelwnWOv5MlzdJKrwsHF4Ryh5ePDcvIczF-eZpPxPDAsjdtAJDzVOmFhlCZguBBMk4TGRjAVxiKNTB7mGRcaFIGY5cQkgnAdZzozlKaajdBNL-sHe-vAtbK0zkBRqArqzsmQh5wlVBDm0es_6KbumsoP5ykepfttRZ4Ke8o0_nsN5HLb2FI1O0mJ3LsgexekD_LTBSl80dVButMlZN8lX2v3AOsB51PVCpqf3v_IfgBLSZGZ</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Marra, Pedro S.</creator><creator>Nishizawa, Yoshitaka</creator><creator>Yamanashi, Takehiko</creator><creator>Sullivan, Eleanor J.</creator><creator>Comp, Katie R.</creator><creator>Crutchley, Kaitlyn J.</creator><creator>Wahba, Nadia E.</creator><creator>Shibata, Kazuki</creator><creator>Nishiguchi, Tsuyoshi</creator><creator>Yamanishi, Kyosuke</creator><creator>Noiseux, Nicolas O.</creator><creator>Karam, Matthew D.</creator><creator>Shinozaki, Gen</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>7TK</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope></search><sort><creationdate>20231101</creationdate><title>NSAIDs use history: impact on the genome-wide DNA methylation profile and possible mechanisms of action</title><author>Marra, Pedro S. ; Nishizawa, Yoshitaka ; Yamanashi, Takehiko ; Sullivan, Eleanor J. ; Comp, Katie R. ; Crutchley, Kaitlyn J. ; Wahba, Nadia E. ; Shibata, Kazuki ; Nishiguchi, Tsuyoshi ; Yamanishi, Kyosuke ; Noiseux, Nicolas O. ; Karam, Matthew D. ; Shinozaki, Gen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-9687bb632476ec8993b0615c93a25974cf2fd89bea0e53f0c6908b5dbdc117b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Arachidonic acid</topic><topic>Bisulfite</topic><topic>Central pattern generator</topic><topic>Circadian rhythms</topic><topic>Delirium</topic><topic>DNA methylation</topic><topic>Electronic medical records</topic><topic>Epigenetics</topic><topic>Genomes</topic><topic>Hematology</topic><topic>Internal Medicine</topic><topic>Linoleic acid</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Nonsteroidal anti-inflammatory drugs</topic><topic>Oncology</topic><topic>Patients</topic><topic>Prostaglandin endoperoxide synthase</topic><topic>Senescence</topic><topic>Statistical analysis</topic><topic>Statistics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Marra, Pedro S.</creatorcontrib><creatorcontrib>Nishizawa, Yoshitaka</creatorcontrib><creatorcontrib>Yamanashi, Takehiko</creatorcontrib><creatorcontrib>Sullivan, Eleanor J.</creatorcontrib><creatorcontrib>Comp, Katie R.</creatorcontrib><creatorcontrib>Crutchley, Kaitlyn J.</creatorcontrib><creatorcontrib>Wahba, Nadia E.</creatorcontrib><creatorcontrib>Shibata, Kazuki</creatorcontrib><creatorcontrib>Nishiguchi, Tsuyoshi</creatorcontrib><creatorcontrib>Yamanishi, Kyosuke</creatorcontrib><creatorcontrib>Noiseux, Nicolas O.</creatorcontrib><creatorcontrib>Karam, Matthew D.</creatorcontrib><creatorcontrib>Shinozaki, Gen</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical and experimental medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Marra, Pedro S.</au><au>Nishizawa, Yoshitaka</au><au>Yamanashi, Takehiko</au><au>Sullivan, Eleanor J.</au><au>Comp, Katie R.</au><au>Crutchley, Kaitlyn J.</au><au>Wahba, Nadia E.</au><au>Shibata, Kazuki</au><au>Nishiguchi, Tsuyoshi</au><au>Yamanishi, Kyosuke</au><au>Noiseux, Nicolas O.</au><au>Karam, Matthew D.</au><au>Shinozaki, Gen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>NSAIDs use history: impact on the genome-wide DNA methylation profile and possible mechanisms of action</atitle><jtitle>Clinical and experimental medicine</jtitle><stitle>Clin Exp Med</stitle><addtitle>Clin Exp Med</addtitle><date>2023-11-01</date><risdate>2023</risdate><volume>23</volume><issue>7</issue><spage>3509</spage><epage>3516</epage><pages>3509-3516</pages><issn>1591-9528</issn><issn>1591-8890</issn><eissn>1591-9528</eissn><abstract>Background and objective
NSAIDs inhibit cyclooxygenase, but their role in aging and other diseases is not well understood. Our group previously showed the potential benefit of NSAIDs in decreasing the risk of delirium and mortality. Concurrently, epigenetics signals have also been associated with delirium. Therefore, we sought to find differentially methylated genes and biological pathways related to exposure with NSAIDs by comparing the genome-wide DNA methylation profiles of patients with and without a history of NSAIDs use.
Methods
Whole blood samples were collected from 171 patients at the University of Iowa Hospital and Clinics from November 2017 to March 2020. History of NSAIDs use was assessed through a word-search function in the subjects’ electronic medical records. DNA was extracted from the blood samples, processed with bisulfite conversion, and analyzed using Illumina’s EPIC array. The analysis of top differentially methylated CpG sites and subsequent enrichment analysis were conducted using an established pipeline using R statistical software.
Results
Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) showed several biological pathways relevant to NSAIDs’ function. The identified GO terms included “arachidonic acid metabolic process,” while KEGG results included “linoleic acid metabolism,” “cellular senescence,” and “circadian rhythm.” Nonetheless, none of the top GO and KEGG pathways and the top differentially methylated CpG sites reached statistical significance.
Conclusion
Our results suggest a potential role of epigenetics in the mechanisms of the action of NSAIDs. However, the results should be viewed with caution as exploratory and hypothesis-generating given the lack of statistically significant findings.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>37341931</pmid><doi>10.1007/s10238-023-01119-9</doi><tpages>8</tpages></addata></record> |
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subjects | Arachidonic acid Bisulfite Central pattern generator Circadian rhythms Delirium DNA methylation Electronic medical records Epigenetics Genomes Hematology Internal Medicine Linoleic acid Medicine Medicine & Public Health Nonsteroidal anti-inflammatory drugs Oncology Patients Prostaglandin endoperoxide synthase Senescence Statistical analysis Statistics |
title | NSAIDs use history: impact on the genome-wide DNA methylation profile and possible mechanisms of action |
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