Epigenetic Aging and Rheumatoid Arthritis
This is the first known comparative assessment of the associations of epigenetic age estimates with the prevalence of rheumatoid arthritis (RA). We used data available in Gene Expression Omnibus (GSE42861) from the Swedish Epidemiological Investigation of Rheumatoid Arthritis study. Information rega...
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description | This is the first known comparative assessment of the associations of epigenetic age estimates with the prevalence of rheumatoid arthritis (RA). We used data available in Gene Expression Omnibus (GSE42861) from the Swedish Epidemiological Investigation of Rheumatoid Arthritis study. Information regarding RA diagnosis and 450K DNA methylation (DNAm) of 18- to 70-year-old participants was available. Utilizing Horvath's online DNAm Age Calculator, we determined the DNAm estimate of Telomere length (DNAmTL), Hannum's epigenetic age, Horvath's 2013 and 2018 epigenetic ages, PhenoAge, GrimAge, and the respective age-acceleration measures. The association of RA prevalence with epigenetic age measures was assessed using linear regression, adjusting for sex and smoking status. The p values were corrected for multiple testing using a false discovery rate. We identified statistically significant associations of RA with Horvath 2013 age acceleration (estimate: -1.34; FDR p value: 1.0 × 10-2), Horvath 2018 age acceleration (estimate: -1.32; FDR p value: 4.0 × 10-5), extrinsic age acceleration (estimate: 1.34; FDR p value: 1.0 × 10-2), PhenoAge acceleration (estimate: 2.31; FDR p value: 1.1 × 10-5), GrimAge (estimate: 2.54; FDR p value: 1.0 × 10-2), and GrimAge acceleration (estimate: 3.15; FDR p-value: 1.7 × 10-17). Of note, the raw and age-adjusted GrimAge surrogate DNAm protein components were significantly higher in RA cases than controls. Interestingly, the first-generation measures were associated only with women. No sex-specific effects were identified for PhenoAge or GrimAge accelerations. In this cross-sectional assessment, the second-generation clocks show promise as markers of biological aging, with higher epigenetic age acceleration observed in RA cases compared with healthy controls. |
doi_str_mv | 10.1093/gerona/glad213 |
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We used data available in Gene Expression Omnibus (GSE42861) from the Swedish Epidemiological Investigation of Rheumatoid Arthritis study. Information regarding RA diagnosis and 450K DNA methylation (DNAm) of 18- to 70-year-old participants was available. Utilizing Horvath's online DNAm Age Calculator, we determined the DNAm estimate of Telomere length (DNAmTL), Hannum's epigenetic age, Horvath's 2013 and 2018 epigenetic ages, PhenoAge, GrimAge, and the respective age-acceleration measures. The association of RA prevalence with epigenetic age measures was assessed using linear regression, adjusting for sex and smoking status. The p values were corrected for multiple testing using a false discovery rate. We identified statistically significant associations of RA with Horvath 2013 age acceleration (estimate: -1.34; FDR p value: 1.0 × 10-2), Horvath 2018 age acceleration (estimate: -1.32; FDR p value: 4.0 × 10-5), extrinsic age acceleration (estimate: 1.34; FDR p value: 1.0 × 10-2), PhenoAge acceleration (estimate: 2.31; FDR p value: 1.1 × 10-5), GrimAge (estimate: 2.54; FDR p value: 1.0 × 10-2), and GrimAge acceleration (estimate: 3.15; FDR p-value: 1.7 × 10-17). Of note, the raw and age-adjusted GrimAge surrogate DNAm protein components were significantly higher in RA cases than controls. Interestingly, the first-generation measures were associated only with women. No sex-specific effects were identified for PhenoAge or GrimAge accelerations. In this cross-sectional assessment, the second-generation clocks show promise as markers of biological aging, with higher epigenetic age acceleration observed in RA cases compared with healthy controls.</description><identifier>ISSN: 1079-5006</identifier><identifier>EISSN: 1758-535X</identifier><identifier>DOI: 10.1093/gerona/glad213</identifier><identifier>PMID: 37698382</identifier><language>eng</language><publisher>United States: Oxford University Press</publisher><subject>Acceleration ; Aged ; Aging ; Aging - genetics ; Arthritis, Rheumatoid - epidemiology ; Arthritis, Rheumatoid - genetics ; Biomarkers ; Cross-Sectional Studies ; Data analysis ; DNA Methylation ; Epidemiology ; Epigenesis, Genetic ; Epigenetics ; Female ; Gene expression ; Humans ; Rheumatoid arthritis ; Statistical analysis ; Telomeres</subject><ispartof>The journals of gerontology. Series A, Biological sciences and medical sciences, 2024-01, Vol.79 (1)</ispartof><rights>The Author(s) 2023. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</rights><rights>Copyright Oxford University Press Jan 2024</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c323t-4d0e6aa88ecb625528185ce0f05646bfddd66495594bf55a600bb56898a060393</citedby><cites>FETCH-LOGICAL-c323t-4d0e6aa88ecb625528185ce0f05646bfddd66495594bf55a600bb56898a060393</cites><orcidid>0000-0002-6649-4555 ; 0000-0002-1348-4337</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27915,27916</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37698382$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Duque, Gustavo</contributor><creatorcontrib>Mukherjee, Nandini</creatorcontrib><creatorcontrib>Harrison, Tracie C</creatorcontrib><title>Epigenetic Aging and Rheumatoid Arthritis</title><title>The journals of gerontology. Series A, Biological sciences and medical sciences</title><addtitle>J Gerontol A Biol Sci Med Sci</addtitle><description>This is the first known comparative assessment of the associations of epigenetic age estimates with the prevalence of rheumatoid arthritis (RA). We used data available in Gene Expression Omnibus (GSE42861) from the Swedish Epidemiological Investigation of Rheumatoid Arthritis study. Information regarding RA diagnosis and 450K DNA methylation (DNAm) of 18- to 70-year-old participants was available. Utilizing Horvath's online DNAm Age Calculator, we determined the DNAm estimate of Telomere length (DNAmTL), Hannum's epigenetic age, Horvath's 2013 and 2018 epigenetic ages, PhenoAge, GrimAge, and the respective age-acceleration measures. The association of RA prevalence with epigenetic age measures was assessed using linear regression, adjusting for sex and smoking status. The p values were corrected for multiple testing using a false discovery rate. We identified statistically significant associations of RA with Horvath 2013 age acceleration (estimate: -1.34; FDR p value: 1.0 × 10-2), Horvath 2018 age acceleration (estimate: -1.32; FDR p value: 4.0 × 10-5), extrinsic age acceleration (estimate: 1.34; FDR p value: 1.0 × 10-2), PhenoAge acceleration (estimate: 2.31; FDR p value: 1.1 × 10-5), GrimAge (estimate: 2.54; FDR p value: 1.0 × 10-2), and GrimAge acceleration (estimate: 3.15; FDR p-value: 1.7 × 10-17). Of note, the raw and age-adjusted GrimAge surrogate DNAm protein components were significantly higher in RA cases than controls. Interestingly, the first-generation measures were associated only with women. No sex-specific effects were identified for PhenoAge or GrimAge accelerations. In this cross-sectional assessment, the second-generation clocks show promise as markers of biological aging, with higher epigenetic age acceleration observed in RA cases compared with healthy controls.</description><subject>Acceleration</subject><subject>Aged</subject><subject>Aging</subject><subject>Aging - genetics</subject><subject>Arthritis, Rheumatoid - epidemiology</subject><subject>Arthritis, Rheumatoid - genetics</subject><subject>Biomarkers</subject><subject>Cross-Sectional Studies</subject><subject>Data analysis</subject><subject>DNA Methylation</subject><subject>Epidemiology</subject><subject>Epigenesis, Genetic</subject><subject>Epigenetics</subject><subject>Female</subject><subject>Gene expression</subject><subject>Humans</subject><subject>Rheumatoid arthritis</subject><subject>Statistical analysis</subject><subject>Telomeres</subject><issn>1079-5006</issn><issn>1758-535X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkEtLw0AURgdRrFa3LiXgRhdp7zwzsyylPqAgiIK7YZKZpFPyqDPJwn9vSqsL7-bexfk-LgehGwwzDIrOKxe61syr2liC6Qm6wBmXKaf883S8IVMpBxATdBnjFvbDyTma0EwoSSW5QA-rna9c63pfJIvKt1ViWpu8bdzQmL7zNlmEfhN87-MVOitNHd31cU_Rx-Pqffmcrl-fXpaLdVpQQvuUWXDCGCldkQvCOZFY8sJBCVwwkZfWWiGY4lyxvOTcCIA850IqaUAAVXSK7g-9u9B9DS72uvGxcHVtWtcNURMpGOZSQDaid__QbTeEdvxOE4UVYxSDHKnZgSpCF2Nwpd4F35jwrTHovUR9kKiPEsfA7bF2yBtn__Bfa_QHJtBs-g</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Mukherjee, Nandini</creator><creator>Harrison, Tracie C</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6649-4555</orcidid><orcidid>https://orcid.org/0000-0002-1348-4337</orcidid></search><sort><creationdate>20240101</creationdate><title>Epigenetic Aging and Rheumatoid Arthritis</title><author>Mukherjee, Nandini ; Harrison, Tracie C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c323t-4d0e6aa88ecb625528185ce0f05646bfddd66495594bf55a600bb56898a060393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Acceleration</topic><topic>Aged</topic><topic>Aging</topic><topic>Aging - genetics</topic><topic>Arthritis, Rheumatoid - epidemiology</topic><topic>Arthritis, Rheumatoid - genetics</topic><topic>Biomarkers</topic><topic>Cross-Sectional Studies</topic><topic>Data analysis</topic><topic>DNA Methylation</topic><topic>Epidemiology</topic><topic>Epigenesis, Genetic</topic><topic>Epigenetics</topic><topic>Female</topic><topic>Gene expression</topic><topic>Humans</topic><topic>Rheumatoid arthritis</topic><topic>Statistical analysis</topic><topic>Telomeres</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mukherjee, Nandini</creatorcontrib><creatorcontrib>Harrison, Tracie C</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>The journals of gerontology. Series A, Biological sciences and medical sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mukherjee, Nandini</au><au>Harrison, Tracie C</au><au>Duque, Gustavo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Epigenetic Aging and Rheumatoid Arthritis</atitle><jtitle>The journals of gerontology. Series A, Biological sciences and medical sciences</jtitle><addtitle>J Gerontol A Biol Sci Med Sci</addtitle><date>2024-01-01</date><risdate>2024</risdate><volume>79</volume><issue>1</issue><issn>1079-5006</issn><eissn>1758-535X</eissn><abstract>This is the first known comparative assessment of the associations of epigenetic age estimates with the prevalence of rheumatoid arthritis (RA). We used data available in Gene Expression Omnibus (GSE42861) from the Swedish Epidemiological Investigation of Rheumatoid Arthritis study. Information regarding RA diagnosis and 450K DNA methylation (DNAm) of 18- to 70-year-old participants was available. Utilizing Horvath's online DNAm Age Calculator, we determined the DNAm estimate of Telomere length (DNAmTL), Hannum's epigenetic age, Horvath's 2013 and 2018 epigenetic ages, PhenoAge, GrimAge, and the respective age-acceleration measures. The association of RA prevalence with epigenetic age measures was assessed using linear regression, adjusting for sex and smoking status. The p values were corrected for multiple testing using a false discovery rate. We identified statistically significant associations of RA with Horvath 2013 age acceleration (estimate: -1.34; FDR p value: 1.0 × 10-2), Horvath 2018 age acceleration (estimate: -1.32; FDR p value: 4.0 × 10-5), extrinsic age acceleration (estimate: 1.34; FDR p value: 1.0 × 10-2), PhenoAge acceleration (estimate: 2.31; FDR p value: 1.1 × 10-5), GrimAge (estimate: 2.54; FDR p value: 1.0 × 10-2), and GrimAge acceleration (estimate: 3.15; FDR p-value: 1.7 × 10-17). Of note, the raw and age-adjusted GrimAge surrogate DNAm protein components were significantly higher in RA cases than controls. Interestingly, the first-generation measures were associated only with women. No sex-specific effects were identified for PhenoAge or GrimAge accelerations. In this cross-sectional assessment, the second-generation clocks show promise as markers of biological aging, with higher epigenetic age acceleration observed in RA cases compared with healthy controls.</abstract><cop>United States</cop><pub>Oxford University Press</pub><pmid>37698382</pmid><doi>10.1093/gerona/glad213</doi><orcidid>https://orcid.org/0000-0002-6649-4555</orcidid><orcidid>https://orcid.org/0000-0002-1348-4337</orcidid></addata></record> |
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subjects | Acceleration Aged Aging Aging - genetics Arthritis, Rheumatoid - epidemiology Arthritis, Rheumatoid - genetics Biomarkers Cross-Sectional Studies Data analysis DNA Methylation Epidemiology Epigenesis, Genetic Epigenetics Female Gene expression Humans Rheumatoid arthritis Statistical analysis Telomeres |
title | Epigenetic Aging and Rheumatoid Arthritis |
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