Lifetime marijuana use and epigenetic age acceleration: A 17-year prospective examination
This study was designed to assess links between lifetime levels of marijuana use and accelerated epigenetic aging. Prospective longitudinal study, following participants annually from age 13 to age 30. A community sample of 154 participants recruited from a small city in the Southeastern United Stat...
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| Veröffentlicht in: | Drug and alcohol dependence 2022-04, Vol.233, p.109363-109363, Article 109363 |
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| creator | Allen, Joseph P. Danoff, Joshua S. Costello, Meghan A. Hunt, Gabrielle L. Hellwig, Amanda F. Krol, Kathleen M. Gregory, Simon G. Giamberardino, Stephanie N. Sugden, Karen Connelly, Jessica J. |
| description | This study was designed to assess links between lifetime levels of marijuana use and accelerated epigenetic aging.
Prospective longitudinal study, following participants annually from age 13 to age 30.
A community sample of 154 participants recruited from a small city in the Southeastern United States.
Participants completed annual assessments of marijuana use from age 13 to age 29 and provided blood samples that yielded two indices of epigenetic aging (DNAmGrimAge and DunedinPoAm) at age 30. Additional covariates examined included history of cigarette smoking, anxiety and depressive symptoms, childhood illness, gender, adolescent-era family income, and racial/ethnic minority status.
Lifetime marijuana use predicted accelerated epigenetic aging, with effects remaining even after covarying cell counts, demographic factors and chronological age (β’s = 0.32 & 0.27, p’s |
| doi_str_mv | 10.1016/j.drugalcdep.2022.109363 |
| format | Article |
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Prospective longitudinal study, following participants annually from age 13 to age 30.
A community sample of 154 participants recruited from a small city in the Southeastern United States.
Participants completed annual assessments of marijuana use from age 13 to age 29 and provided blood samples that yielded two indices of epigenetic aging (DNAmGrimAge and DunedinPoAm) at age 30. Additional covariates examined included history of cigarette smoking, anxiety and depressive symptoms, childhood illness, gender, adolescent-era family income, and racial/ethnic minority status.
Lifetime marijuana use predicted accelerated epigenetic aging, with effects remaining even after covarying cell counts, demographic factors and chronological age (β’s = 0.32 & 0.27, p’s < 0.001, 95% CI’s = 0.21–0.43 & 0.16–0.39 for DNAmGrimAge and DunedinPoAm, respectively). Predictions remained after accounting for cigarette smoking (β’s = 0.25 & 0.21, respectively, p’s < 0.001, 95% CI’s = 0.14–0.37 & 0.09–0.32 for DNAmGrimAge and DunedinPoAm, respectively). A dose-response effect was observed and there was also evidence that effects were dependent upon recency of use. Effects of marijuana use appeared to be fully mediated by hypomethylation of a site linked to effects of hydrocarbon inhalation (cg05575921).
Marijuana use predicted epigenetic changes linked to accelerated aging, with evidence suggesting that effects may be primarily due to hydrocarbon inhalation among marijuana smokers. Further research is warranted to explore mechanisms underlying this linkage.
•Lifetime levels of marijuana use predicted accelerated epigenetic aging.•Predictions remained even after accounting for cigarette smoking and a wide range of potential confounding variables.•Dose-response and recency of use effects were both observed.]]></description><identifier>ISSN: 0376-8716</identifier><identifier>EISSN: 1879-0046</identifier><identifier>DOI: 10.1016/j.drugalcdep.2022.109363</identifier><identifier>PMID: 35231715</identifier><language>eng</language><publisher>Ireland: Elsevier B.V</publisher><subject>Acceleration ; Adolescent ; Adult ; Age ; Aging ; Blood tests ; Cannabis ; Child ; Childhood ; Children ; Cigarette smoking ; Cigarettes ; Demography ; Dosage effects ; Dose-response effects ; Epigenesis, Genetic ; Epigenetic aging ; Epigenetics ; Ethnic factors ; Ethnic groups ; Ethnicity ; Humans ; Hydrocarbons ; Inhalation ; Lifetime cannabis exposure ; Longitudinal Studies ; Marijuana ; Marijuana Smoking - epidemiology ; Marijuana Smoking - genetics ; Marijuana Use - epidemiology ; Mental depression ; Minority & ethnic groups ; Minority Groups ; Prospective longitudinal assessment ; Prospective Studies ; Respiration ; Smoking</subject><ispartof>Drug and alcohol dependence, 2022-04, Vol.233, p.109363-109363, Article 109363</ispartof><rights>2022 Elsevier B.V.</rights><rights>Copyright © 2022 Elsevier B.V. All rights reserved.</rights><rights>Copyright Elsevier Science Ltd. Apr 1, 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c507t-2d128d31695314c19eefa99f0f4b7845b8da2847eafcade2bde838d427daf4523</citedby><cites>FETCH-LOGICAL-c507t-2d128d31695314c19eefa99f0f4b7845b8da2847eafcade2bde838d427daf4523</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0376871622001004$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,30976,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35231715$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Allen, Joseph P.</creatorcontrib><creatorcontrib>Danoff, Joshua S.</creatorcontrib><creatorcontrib>Costello, Meghan A.</creatorcontrib><creatorcontrib>Hunt, Gabrielle L.</creatorcontrib><creatorcontrib>Hellwig, Amanda F.</creatorcontrib><creatorcontrib>Krol, Kathleen M.</creatorcontrib><creatorcontrib>Gregory, Simon G.</creatorcontrib><creatorcontrib>Giamberardino, Stephanie N.</creatorcontrib><creatorcontrib>Sugden, Karen</creatorcontrib><creatorcontrib>Connelly, Jessica J.</creatorcontrib><title>Lifetime marijuana use and epigenetic age acceleration: A 17-year prospective examination</title><title>Drug and alcohol dependence</title><addtitle>Drug Alcohol Depend</addtitle><description><![CDATA[This study was designed to assess links between lifetime levels of marijuana use and accelerated epigenetic aging.
Prospective longitudinal study, following participants annually from age 13 to age 30.
A community sample of 154 participants recruited from a small city in the Southeastern United States.
Participants completed annual assessments of marijuana use from age 13 to age 29 and provided blood samples that yielded two indices of epigenetic aging (DNAmGrimAge and DunedinPoAm) at age 30. Additional covariates examined included history of cigarette smoking, anxiety and depressive symptoms, childhood illness, gender, adolescent-era family income, and racial/ethnic minority status.
Lifetime marijuana use predicted accelerated epigenetic aging, with effects remaining even after covarying cell counts, demographic factors and chronological age (β’s = 0.32 & 0.27, p’s < 0.001, 95% CI’s = 0.21–0.43 & 0.16–0.39 for DNAmGrimAge and DunedinPoAm, respectively). Predictions remained after accounting for cigarette smoking (β’s = 0.25 & 0.21, respectively, p’s < 0.001, 95% CI’s = 0.14–0.37 & 0.09–0.32 for DNAmGrimAge and DunedinPoAm, respectively). A dose-response effect was observed and there was also evidence that effects were dependent upon recency of use. Effects of marijuana use appeared to be fully mediated by hypomethylation of a site linked to effects of hydrocarbon inhalation (cg05575921).
Marijuana use predicted epigenetic changes linked to accelerated aging, with evidence suggesting that effects may be primarily due to hydrocarbon inhalation among marijuana smokers. Further research is warranted to explore mechanisms underlying this linkage.
•Lifetime levels of marijuana use predicted accelerated epigenetic aging.•Predictions remained even after accounting for cigarette smoking and a wide range of potential confounding variables.•Dose-response and recency of use effects were both observed.]]></description><subject>Acceleration</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Aging</subject><subject>Blood tests</subject><subject>Cannabis</subject><subject>Child</subject><subject>Childhood</subject><subject>Children</subject><subject>Cigarette smoking</subject><subject>Cigarettes</subject><subject>Demography</subject><subject>Dosage effects</subject><subject>Dose-response effects</subject><subject>Epigenesis, Genetic</subject><subject>Epigenetic aging</subject><subject>Epigenetics</subject><subject>Ethnic factors</subject><subject>Ethnic groups</subject><subject>Ethnicity</subject><subject>Humans</subject><subject>Hydrocarbons</subject><subject>Inhalation</subject><subject>Lifetime cannabis exposure</subject><subject>Longitudinal Studies</subject><subject>Marijuana</subject><subject>Marijuana Smoking - epidemiology</subject><subject>Marijuana Smoking - genetics</subject><subject>Marijuana Use - epidemiology</subject><subject>Mental depression</subject><subject>Minority & ethnic groups</subject><subject>Minority Groups</subject><subject>Prospective longitudinal assessment</subject><subject>Prospective Studies</subject><subject>Respiration</subject><subject>Smoking</subject><issn>0376-8716</issn><issn>1879-0046</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNqFUU1P3DAQtVARbIG_UFnqOVt_JLbTQyWKoEVaiQscOFmz9mRxtOsEJ1mVf1_D8nliLiPNvHkzbx4hlLM5Z1z9aOc-TStYO4_9XDAhcrmWSu6RGTe6Lhgr1RcyY1KrwmiuDsnXYWhZDlWzA3IoKyG55tWM3C5Cg2PYIN1ACu0EEeg0IIXoKfZhhTF3HYVVLjmHa0wwhi7-pKeU6-IBIdE-dUOPbgxbpPgPNiE-QY7JfgPrAU-e8xG5uTi_PvtbLK7-XJ6dLgpXMT0WwnNhvOSqriQvHa8RG6jrhjXlUpuyWhoPwpQaoXHgUSw9Gml8KbSHpsw6jsivHW8_LTfoHcYxwdr2KWRFD7aDYD92Yrizq25rTW2E0joTfH8mSN39hMNo225KMd9shaqklMoYmVFmh3JZ7pCwed3AmX00xbb2zRT7aIrdmZJHv72_8HXwxYUM-L0DYP7TNmCygwsYHfqQ8mOt78LnW_4DYm-kvA</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>Allen, Joseph P.</creator><creator>Danoff, Joshua S.</creator><creator>Costello, Meghan A.</creator><creator>Hunt, Gabrielle L.</creator><creator>Hellwig, Amanda F.</creator><creator>Krol, Kathleen M.</creator><creator>Gregory, Simon G.</creator><creator>Giamberardino, Stephanie N.</creator><creator>Sugden, Karen</creator><creator>Connelly, Jessica J.</creator><general>Elsevier B.V</general><general>Elsevier Science Ltd</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>7QJ</scope><scope>7TK</scope><scope>7U7</scope><scope>C1K</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>5PM</scope></search><sort><creationdate>20220401</creationdate><title>Lifetime marijuana use and epigenetic age acceleration: A 17-year prospective examination</title><author>Allen, Joseph P. ; Danoff, Joshua S. ; Costello, Meghan A. ; Hunt, Gabrielle L. ; Hellwig, Amanda F. ; Krol, Kathleen M. ; Gregory, Simon G. ; Giamberardino, Stephanie N. ; Sugden, Karen ; Connelly, Jessica J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c507t-2d128d31695314c19eefa99f0f4b7845b8da2847eafcade2bde838d427daf4523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Acceleration</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Age</topic><topic>Aging</topic><topic>Blood tests</topic><topic>Cannabis</topic><topic>Child</topic><topic>Childhood</topic><topic>Children</topic><topic>Cigarette smoking</topic><topic>Cigarettes</topic><topic>Demography</topic><topic>Dosage effects</topic><topic>Dose-response effects</topic><topic>Epigenesis, Genetic</topic><topic>Epigenetic aging</topic><topic>Epigenetics</topic><topic>Ethnic factors</topic><topic>Ethnic groups</topic><topic>Ethnicity</topic><topic>Humans</topic><topic>Hydrocarbons</topic><topic>Inhalation</topic><topic>Lifetime cannabis exposure</topic><topic>Longitudinal Studies</topic><topic>Marijuana</topic><topic>Marijuana Smoking - epidemiology</topic><topic>Marijuana Smoking - genetics</topic><topic>Marijuana Use - epidemiology</topic><topic>Mental depression</topic><topic>Minority & ethnic groups</topic><topic>Minority Groups</topic><topic>Prospective longitudinal assessment</topic><topic>Prospective Studies</topic><topic>Respiration</topic><topic>Smoking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Allen, Joseph P.</creatorcontrib><creatorcontrib>Danoff, Joshua S.</creatorcontrib><creatorcontrib>Costello, Meghan A.</creatorcontrib><creatorcontrib>Hunt, Gabrielle L.</creatorcontrib><creatorcontrib>Hellwig, Amanda F.</creatorcontrib><creatorcontrib>Krol, Kathleen M.</creatorcontrib><creatorcontrib>Gregory, Simon G.</creatorcontrib><creatorcontrib>Giamberardino, Stephanie N.</creatorcontrib><creatorcontrib>Sugden, Karen</creatorcontrib><creatorcontrib>Connelly, Jessica J.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Drug and alcohol dependence</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Allen, Joseph P.</au><au>Danoff, Joshua S.</au><au>Costello, Meghan A.</au><au>Hunt, Gabrielle L.</au><au>Hellwig, Amanda F.</au><au>Krol, Kathleen M.</au><au>Gregory, Simon G.</au><au>Giamberardino, Stephanie N.</au><au>Sugden, Karen</au><au>Connelly, Jessica J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Lifetime marijuana use and epigenetic age acceleration: A 17-year prospective examination</atitle><jtitle>Drug and alcohol dependence</jtitle><addtitle>Drug Alcohol Depend</addtitle><date>2022-04-01</date><risdate>2022</risdate><volume>233</volume><spage>109363</spage><epage>109363</epage><pages>109363-109363</pages><artnum>109363</artnum><issn>0376-8716</issn><eissn>1879-0046</eissn><abstract><![CDATA[This study was designed to assess links between lifetime levels of marijuana use and accelerated epigenetic aging.
Prospective longitudinal study, following participants annually from age 13 to age 30.
A community sample of 154 participants recruited from a small city in the Southeastern United States.
Participants completed annual assessments of marijuana use from age 13 to age 29 and provided blood samples that yielded two indices of epigenetic aging (DNAmGrimAge and DunedinPoAm) at age 30. Additional covariates examined included history of cigarette smoking, anxiety and depressive symptoms, childhood illness, gender, adolescent-era family income, and racial/ethnic minority status.
Lifetime marijuana use predicted accelerated epigenetic aging, with effects remaining even after covarying cell counts, demographic factors and chronological age (β’s = 0.32 & 0.27, p’s < 0.001, 95% CI’s = 0.21–0.43 & 0.16–0.39 for DNAmGrimAge and DunedinPoAm, respectively). Predictions remained after accounting for cigarette smoking (β’s = 0.25 & 0.21, respectively, p’s < 0.001, 95% CI’s = 0.14–0.37 & 0.09–0.32 for DNAmGrimAge and DunedinPoAm, respectively). A dose-response effect was observed and there was also evidence that effects were dependent upon recency of use. Effects of marijuana use appeared to be fully mediated by hypomethylation of a site linked to effects of hydrocarbon inhalation (cg05575921).
Marijuana use predicted epigenetic changes linked to accelerated aging, with evidence suggesting that effects may be primarily due to hydrocarbon inhalation among marijuana smokers. Further research is warranted to explore mechanisms underlying this linkage.
•Lifetime levels of marijuana use predicted accelerated epigenetic aging.•Predictions remained even after accounting for cigarette smoking and a wide range of potential confounding variables.•Dose-response and recency of use effects were both observed.]]></abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>35231715</pmid><doi>10.1016/j.drugalcdep.2022.109363</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| source | Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; Elsevier ScienceDirect Journals Complete |
| subjects | Acceleration Adolescent Adult Age Aging Blood tests Cannabis Child Childhood Children Cigarette smoking Cigarettes Demography Dosage effects Dose-response effects Epigenesis, Genetic Epigenetic aging Epigenetics Ethnic factors Ethnic groups Ethnicity Humans Hydrocarbons Inhalation Lifetime cannabis exposure Longitudinal Studies Marijuana Marijuana Smoking - epidemiology Marijuana Smoking - genetics Marijuana Use - epidemiology Mental depression Minority & ethnic groups Minority Groups Prospective longitudinal assessment Prospective Studies Respiration Smoking |
| title | Lifetime marijuana use and epigenetic age acceleration: A 17-year prospective examination |
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