Marijuana use and DNA methylation-based biological age in young adults

被引:4
|
作者
Nannini, Drew R. [1 ]
Zheng, Yinan [1 ]
Joyce, Brian T. [1 ]
Gao, Tao [1 ]
Liu, Lei [2 ]
Jacobs, David R., Jr. [3 ]
Schreiner, Pamela [3 ]
Liu, Chunyu [4 ]
Horvath, Steve [5 ,6 ]
Lu, Ake T. [5 ]
Yaffe, Kristine [7 ]
Sidney, Stephen [8 ]
Greenland, Philip [1 ]
Lloyd-Jones, Donald M. [1 ]
Hou, Lifang [1 ]
机构
[1] Northwestern Univ, Feinberg Sch Med, Dept Prevent Med, 680 N Lake Shore Dr,Suite 1400, Chicago, IL 60611 USA
[2] Washington Univ, Div Biostat, St Louis, MO 63110 USA
[3] Univ Minnesota, Sch Publ Hlth, Div Epidemiol & Community Hlth, Minneapolis, MN USA
[4] Boston Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02215 USA
[5] Univ Calif Los Angeles, David Geffen Sch Med, Dept Human Genet, Los Angeles, CA 90095 USA
[6] Univ Calif Los Angeles, Dept Biostat, Fielding Sch Publ Hlth, Los Angeles, CA USA
[7] Univ Calif San Francisco, Sch Med, San Francisco, CA 94143 USA
[8] Kaiser Permanente Div Res, Oakland, CA USA
关键词
Marijuana; Epigenetic age acceleration; Alcohol; CARDIA; Aging; ARTERY RISK DEVELOPMENT; CIRCULATING CYTOKINES; CANNABIS USE; MIDDLE-AGE; ALCOHOL; ASSOCIATION; BIOMARKERS; STROKE;
D O I
10.1186/s13148-022-01359-8
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Marijuana is the third most commonly used drug in the USA and efforts to legalize it for medical and recreational use are growing. Despite the increase in use, marijuana's effect on aging remains understudied and understanding the effects of marijuana on molecular aging may provide novel insights into the role of marijuana in the aging process. We therefore sought to investigate the association between cumulative and recent use of marijuana with epigenetic age acceleration (EAA) as estimated from blood DNA methylation. Results A random subset of participants from The Coronary Artery Risk Development in Young Adults (CARDIA) Study with available whole blood at examination years (Y) 15 and Y20 underwent epigenomic profiling. Four EAA estimates (intrinsic epigenetic age acceleration, extrinsic epigenetic age acceleration, PhenoAge acceleration, and GrimAge acceleration) were calculated from DNA methylation levels measured at Y15 and Y20. Ever use and cumulative marijuana-years were calculated from the baseline visit to Y15 and Y20, and recent marijuana use (both any and number of days of use in the last 30 days) were calculated at Y15 and Y20. Ever use of marijuana and each additional marijuana-year were associated with a 6-month (P < 0.001) and a 2.5-month (P < 0.001) higher average in GrimAge acceleration (GAA) using generalized estimating equations, respectively. Recent use and each additional day of recent use were associated with a 20-month (P < 0.001) and a 1-month (P < 0.001) higher GAA, respectively. A statistical interaction between marijuana-years and alcohol consumption on GAA was observed (P = 0.011), with nondrinkers exhibiting a higher GAA (beta = 0.21 [95% CI 0.05, 0.36], P = 0.008) compared to heavy drinkers (beta = 0.05 [95% CI - 0.09, 0.18], P = 0.500) per each additional marijuana-year. No associations were observed for the remaining EAA estimates. Conclusions These findings suggest cumulative and recent marijuana use are associated with age-related epigenetic changes that are related to lifespan. These observed associations may be modified by alcohol consumption. Given the increase in use and legalization, these findings provide novel insight on the effect of marijuana use on the aging process as captured through blood DNA methylation.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Association of DNA Methylation-Based Biological Age With Health Risk Factors and Overall and Cause-Specific Mortality
    Dugue, Pierre-Antoine
    Bassett, Julie K.
    Joo, JiHoon E.
    Baglietto, Laura
    Jung, Chol-Hee
    Wong, Ee Ming
    Fiorito, Giovanni
    Schmidt, Daniel
    Makalic, Enes
    Li, Shuai
    Moreno-Betancur, Margarita
    Buchanan, Daniel D.
    Vineis, Paolo
    English, Dallas R.
    Hopper, John L.
    Severi, Gianluca
    Southey, Melissa C.
    Giles, Graham G.
    Milne, Roger L.
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2018, 187 (03) : 529 - 538
  • [22] DNA methylation-based age estimation in pediatric healthy tissues and brain tumors
    Kling, Teresia
    Wenger, Anna
    Caren, Helena
    AGING-US, 2020, 12 (21): : 21037 - 21056
  • [23] DNA methylation-based age prediction from various tissues and body fluids
    Jung, Sang-Eun
    Shin, Kyoung-Jin
    Lee, Hwan Young
    BMB REPORTS, 2017, 50 (11) : 546 - 553
  • [24] A collaborative exercise on DNA methylation-based age prediction and body fluid typing
    Lee, Ji Eun
    Lee, Jeong Min
    Naue, Jana
    Fleckhaus, Jan
    Freire-Aradas, Ana
    Neubauer, Jacqueline
    Pospiech, Ewelina
    McCord, Bruce
    Kalamara, Vivian
    Gauthier, Quentin
    Mills, Carly
    Cao, Yijian
    Wang, Zheng
    Oh, Yu Na
    Feng, Lei
    Schneider, Peter M.
    Phillips, Christopher
    Haas, Cordula
    Pisarek, Aleksandra
    Branicki, Wojciech
    Podini, Daniele
    Vidaki, Athina
    Tejero, Nicole Fernandez
    Ambroa-Conde, Adrian
    Mosquera-Miguel, Ana
    Lareu, Maria Victoria
    Hou, Yiping
    Lee, Joo Young
    Lee, Hwan Young
    FORENSIC SCIENCE INTERNATIONAL-GENETICS, 2022, 57
  • [25] DNA methylation-based age estimation and quantification of the degradation levels of bisulfite-converted DNA
    Shiga, Mihiro
    Asari, Masaru
    Takahashi, Yuta
    Isozaki, Shotaro
    Hoshina, Chisato
    Mori, Kanae
    Namba, Ryo
    Okuda, Katsuhiro
    Shimizu, Keiko
    LEGAL MEDICINE, 2024, 67
  • [26] DNA methylation-based biomarkers in urological cancers
    Xu, Rong
    Lin, Shaokun
    Xin, Jun
    Guo, Youhong
    Zhang, Wenzhou
    Lin, Yangjun
    Xu, Rui'an
    Information Technology Journal, 2013, 12 (17) : 4289 - 4297
  • [27] DNA methylation-based biomarkers in bladder cancer
    Raju Kandimalla
    Angela A. van Tilborg
    Ellen C. Zwarthoff
    Nature Reviews Urology, 2013, 10 : 327 - 335
  • [28] Developing DNA methylation-based diagnostic biomarkers
    Hyerim Kim
    Xudong Wang
    Peng Jin
    Journal of Genetics and Genomics, 2018, 45 (02) : 87 - 97
  • [29] DNA methylation-based reclassification of olfactory neuroblastoma
    David Capper
    Nils W. Engel
    Damian Stichel
    Matt Lechner
    Stefanie Glöss
    Simone Schmid
    Christian Koelsche
    Daniel Schrimpf
    Judith Niesen
    Annika K. Wefers
    David T. W. Jones
    Martin Sill
    Oliver Weigert
    Keith L. Ligon
    Adriana Olar
    Arend Koch
    Martin Forster
    Sebastian Moran
    Oscar M. Tirado
    Miguel Sáinz-Jaspeado
    Jaume Mora
    Manel Esteller
    Javier Alonso
    Xavier Garcia del Muro
    Werner Paulus
    Jörg Felsberg
    Guido Reifenberger
    Markus Glatzel
    Stephan Frank
    Camelia M. Monoranu
    Valerie J. Lund
    Andreas von Deimling
    Stefan Pfister
    Rolf Buslei
    Julika Ribbat-Idel
    Sven Perner
    Volker Gudziol
    Matthias Meinhardt
    Ulrich Schüller
    Acta Neuropathologica, 2018, 136 : 255 - 271
  • [30] DNA methylation-based biomarkers in bladder cancer
    Kandimalla, Raju
    van Tilborg, Angela A.
    Zwarthoff, Ellen C.
    NATURE REVIEWS UROLOGY, 2013, 10 (06) : 327 - 335