Centenarian clocks: epigenetic clocks for validating claims of exceptional longevity
Claims surrounding exceptional longevity are sometimes disputed or dismissed for lack of credible evidence. Here, we present three DNA methylation-based age estimators (epigenetic clocks) for verifying age claims of centenarians. The three centenarian clocks were developed based on n = 7039 blood a...
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| Veröffentlicht in: | GEROSCIENCE 2023-06, Vol.45 (3), p.1817-1835 |
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| creator | Dec, Eric Clement, James Cheng, Kaiyang Church, George M. Fossel, Michael B. Rehkopf, David H. Rosero-Bixby, Luis Kobor, Michael S. Lin, David TS Lu, Ake T. Fei, Zhe Guo, Wei Chew, Yap Ching Yang, Xiaojing Putra, Sulistyo E. Dwi Reiner, Alex P. Correa, Adolfo Vilalta, Adrian Pirazzini, Chiara Passarino, Giuseppe Monti, Daniela Arosio, Beatrice Garagnani, Paolo Franceschi, Claudio Horvath, Steve |
| description | Claims surrounding exceptional longevity are sometimes disputed or dismissed for lack of credible evidence. Here, we present three DNA methylation-based age estimators (epigenetic clocks) for verifying age claims of centenarians. The three centenarian clocks were developed based on
n
= 7039 blood and saliva samples from individuals older than 40, including
n
= 184 samples from centenarians, 122 samples from semi-supercentenarians (aged 105 +), and 25 samples from supercentenarians (aged 110 +). The oldest individual was 115 years old. Our most accurate centenarian clock resulted from applying a neural network model to a training set composed of individuals older than 40. An epigenome-wide association study of age in different age groups revealed that age effects in young individuals (age 90). We present a chromatin state analysis of age effects in centenarians. The centenarian clocks are expected to be useful for validating claims surrounding exceptional old age. |
| doi_str_mv | 10.1007/s11357-023-00731-7 |
| format | Article |
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= 7039 blood and saliva samples from individuals older than 40, including
n
= 184 samples from centenarians, 122 samples from semi-supercentenarians (aged 105 +), and 25 samples from supercentenarians (aged 110 +). The oldest individual was 115 years old. Our most accurate centenarian clock resulted from applying a neural network model to a training set composed of individuals older than 40. An epigenome-wide association study of age in different age groups revealed that age effects in young individuals (age < 40) are correlated (
r
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n
= 7039 blood and saliva samples from individuals older than 40, including
n
= 184 samples from centenarians, 122 samples from semi-supercentenarians (aged 105 +), and 25 samples from supercentenarians (aged 110 +). The oldest individual was 115 years old. Our most accurate centenarian clock resulted from applying a neural network model to a training set composed of individuals older than 40. An epigenome-wide association study of age in different age groups revealed that age effects in young individuals (age < 40) are correlated (
r
= 0.55) with age effects in old individuals (age > 90). We present a chromatin state analysis of age effects in centenarians. The centenarian clocks are expected to be useful for validating claims surrounding exceptional old age.</description><subject>Aged, 80 and over</subject><subject>Aging</subject><subject>Biomedical and Life Sciences</subject><subject>Cell Biology</subject><subject>Centenarians</subject><subject>Chromatin</subject><subject>DNA Methylation</subject><subject>Epigenesis, Genetic - genetics</subject><subject>Epigenetics</subject><subject>Geriatrics</subject><subject>Geriatrics/Gerontology</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Longevity</subject><subject>Longevity - genetics</subject><subject>Molecular Medicine</subject><subject>Neural networks</subject><subject>Original</subject><subject>Original Article</subject><subject>Saliva</subject><issn>2509-2723</issn><issn>2509-2715</issn><issn>2509-2723</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>D8T</sourceid><recordid>eNp9kUFv1DAQhSMEolXbP8ABReLCJeCxHdvhgtCKFqRKvZSz5Xgni9usvdjZLf33nXZDaTlwsj3z-Y2fX1W9AfYBGNMfC4BodcO4aOgooNEvqkPesq7hmouXT_YH1UkpV4wx0EoJxl5XB0J1SkrGD6vLBcYJo8vBxdqPyV-XTzVuwgojTsHPpXpIud65MSzdFOKKqi6sS52GGn973EwhRTfWY4or3IXp9rh6Nbix4Mm8HlU_Tr9eLr415xdn3xdfzhvfgpga7UGB6oEbVIMxUuu2awVC33MpW-WlXhrfmkEMvRmYBE8etBS9AWSdaI04qpq9brnBzba3mxzWLt_a5IKdS9e0Qyul6qAj_vOep84al56sZzc-u_a8E8NPu0o7C0zSaMVI4f2skNOvLZbJrkPxOI4uYtoWy3UHQpM7Tei7f9CrtM30T0QZsicZcEUU31M-p1IyDo-vAWbvg7b7oC0FbR-CtvfSb5_6eLzyJ1YCxPwx1KJQ8t_Z_5G9Azf5s4w</recordid><startdate>20230601</startdate><enddate>20230601</enddate><creator>Dec, Eric</creator><creator>Clement, James</creator><creator>Cheng, Kaiyang</creator><creator>Church, George M.</creator><creator>Fossel, Michael B.</creator><creator>Rehkopf, David H.</creator><creator>Rosero-Bixby, Luis</creator><creator>Kobor, Michael S.</creator><creator>Lin, David TS</creator><creator>Lu, Ake T.</creator><creator>Fei, Zhe</creator><creator>Guo, Wei</creator><creator>Chew, Yap Ching</creator><creator>Yang, Xiaojing</creator><creator>Putra, Sulistyo E. Dwi</creator><creator>Reiner, Alex P.</creator><creator>Correa, Adolfo</creator><creator>Vilalta, Adrian</creator><creator>Pirazzini, Chiara</creator><creator>Passarino, Giuseppe</creator><creator>Monti, Daniela</creator><creator>Arosio, Beatrice</creator><creator>Garagnani, Paolo</creator><creator>Franceschi, Claudio</creator><creator>Horvath, Steve</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>C6C</scope><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>7QG</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>ZZAVC</scope><orcidid>https://orcid.org/0000-0002-4110-3589</orcidid></search><sort><creationdate>20230601</creationdate><title>Centenarian clocks: epigenetic clocks for validating claims of exceptional longevity</title><author>Dec, Eric ; Clement, James ; Cheng, Kaiyang ; Church, George M. ; Fossel, Michael B. ; Rehkopf, David H. ; Rosero-Bixby, Luis ; Kobor, Michael S. ; Lin, David TS ; Lu, Ake T. ; Fei, Zhe ; Guo, Wei ; Chew, Yap Ching ; Yang, Xiaojing ; Putra, Sulistyo E. Dwi ; Reiner, Alex P. ; Correa, Adolfo ; Vilalta, Adrian ; Pirazzini, Chiara ; Passarino, Giuseppe ; Monti, Daniela ; Arosio, Beatrice ; Garagnani, Paolo ; Franceschi, Claudio ; Horvath, Steve</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c513t-7c1616b128e6f884775953e1bb24456c47d8c58f3fb8f041c000743b81e093583</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Aged, 80 and over</topic><topic>Aging</topic><topic>Biomedical and Life Sciences</topic><topic>Cell Biology</topic><topic>Centenarians</topic><topic>Chromatin</topic><topic>DNA Methylation</topic><topic>Epigenesis, Genetic - genetics</topic><topic>Epigenetics</topic><topic>Geriatrics</topic><topic>Geriatrics/Gerontology</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Longevity</topic><topic>Longevity - genetics</topic><topic>Molecular Medicine</topic><topic>Neural networks</topic><topic>Original</topic><topic>Original Article</topic><topic>Saliva</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dec, Eric</creatorcontrib><creatorcontrib>Clement, James</creatorcontrib><creatorcontrib>Cheng, Kaiyang</creatorcontrib><creatorcontrib>Church, George M.</creatorcontrib><creatorcontrib>Fossel, Michael B.</creatorcontrib><creatorcontrib>Rehkopf, David H.</creatorcontrib><creatorcontrib>Rosero-Bixby, Luis</creatorcontrib><creatorcontrib>Kobor, Michael S.</creatorcontrib><creatorcontrib>Lin, David TS</creatorcontrib><creatorcontrib>Lu, Ake T.</creatorcontrib><creatorcontrib>Fei, Zhe</creatorcontrib><creatorcontrib>Guo, Wei</creatorcontrib><creatorcontrib>Chew, Yap Ching</creatorcontrib><creatorcontrib>Yang, Xiaojing</creatorcontrib><creatorcontrib>Putra, Sulistyo E. 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Dwi</au><au>Reiner, Alex P.</au><au>Correa, Adolfo</au><au>Vilalta, Adrian</au><au>Pirazzini, Chiara</au><au>Passarino, Giuseppe</au><au>Monti, Daniela</au><au>Arosio, Beatrice</au><au>Garagnani, Paolo</au><au>Franceschi, Claudio</au><au>Horvath, Steve</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Centenarian clocks: epigenetic clocks for validating claims of exceptional longevity</atitle><jtitle>GEROSCIENCE</jtitle><stitle>GeroScience</stitle><addtitle>Geroscience</addtitle><date>2023-06-01</date><risdate>2023</risdate><volume>45</volume><issue>3</issue><spage>1817</spage><epage>1835</epage><pages>1817-1835</pages><issn>2509-2723</issn><issn>2509-2715</issn><eissn>2509-2723</eissn><abstract>Claims surrounding exceptional longevity are sometimes disputed or dismissed for lack of credible evidence. Here, we present three DNA methylation-based age estimators (epigenetic clocks) for verifying age claims of centenarians. The three centenarian clocks were developed based on
n
= 7039 blood and saliva samples from individuals older than 40, including
n
= 184 samples from centenarians, 122 samples from semi-supercentenarians (aged 105 +), and 25 samples from supercentenarians (aged 110 +). The oldest individual was 115 years old. Our most accurate centenarian clock resulted from applying a neural network model to a training set composed of individuals older than 40. An epigenome-wide association study of age in different age groups revealed that age effects in young individuals (age < 40) are correlated (
r
= 0.55) with age effects in old individuals (age > 90). We present a chromatin state analysis of age effects in centenarians. The centenarian clocks are expected to be useful for validating claims surrounding exceptional old age.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>36964402</pmid><doi>10.1007/s11357-023-00731-7</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0002-4110-3589</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Aged, 80 and over Aging Biomedical and Life Sciences Cell Biology Centenarians Chromatin DNA Methylation Epigenesis, Genetic - genetics Epigenetics Geriatrics Geriatrics/Gerontology Humans Life Sciences Longevity Longevity - genetics Molecular Medicine Neural networks Original Original Article Saliva |
| title | Centenarian clocks: epigenetic clocks for validating claims of exceptional longevity |
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