Jacob K Kresovich1,2, Zhou Zhang1,3, Fang Fang4, Yinan Zheng1,5, Marco Sanchez-Guerra6,7, Brian T Joyce1,2, Jia Zhong6, Yana Chervona8, Sheng Wang9, Dou Chang10, John P McCracken6, Anaite Díaz11, Matteo Bonzini12, Michele Carugno12, Petros Koutrakis6, Choong-Min Kang6, Shurui Bian3, Tao Gao1, Hyang-Min Byun13, Joel Schwartz6, Andrea A Baccarelli6, Lifang Hou1,14. 1. a Department of Preventive Medicine , Northwestern University Feinberg School of Medicine , Chicago , IL , USA. 2. b Division of Epidemiology and Biostatistics, School of Public Health , University of Illinois-Chicago , Chicago , IL , USA. 3. c Driskill Graduate Program in Life Sciences, Feinberg School of Medicine , Northwestern University , Chicago , IL , USA. 4. d Department of Epidemiology, College for Public Health and Social Justice , Saint Louis University , Saint Louis , MO , USA. 5. e Institute for Public Health and Medicine, Feinberg School of Medicine , Northwestern University , Chicago , IL , USA. 6. f Department of Environmental Health, Harvard T.H. Chan School of Public Health , Harvard University , Boston , MA , USA. 7. g Department of Developmental Neurobiology , National Institute of Perinatology , Mexico City , Mexico. 8. h Department of Environmental Medicine , New York University School of Medicine , New York , NY , USA. 9. i Department of Occupational and Environmental Health , Peking University Health Science Center, Peking University , Beijing , China. 10. j Department of Safety Engineering , China Institute of Industrial Relations , Beijing , China. 11. k Center for Health Studies , Universidad del Valle de Guatemala , Guatemala City , Guatemala. 12. l Department of Clinical Sciences and Community Medicine , University of Milan and IRCCS Fondazione Ca' Granda OspedaleMaggiore Policlinico , Milan , Italy. 13. m Human Nutrition Research Centre, Institute of Cellular Medicine , Newcastle University , Newcastle upon Tyne , United Kingdom. 14. n Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine , Northwestern University , Chicago , IL , USA.
Abstract
CONTEXT: Histone modifications regulate gene expression; dysregulation has been linked with cardiovascular diseases. Associations between histone modification levels and blood pressure in humans are unclear. OBJECTIVE: We examine the relationship between global histone concentrations and various markers of blood pressure. MATERIALS AND METHODS: Using the Beijing Truck Driver Air Pollution Study, we investigated global peripheral white blood cell histone modifications (H3K9ac, H3K9me3, H3K27me3, and H3K36me3) associations with pre- and post-work measurements of systolic (SBP) and diastolic (DBP) blood pressure, mean arterial pressure (MAP), and pulse pressure (PP) using multivariable mixed-effect models. RESULTS: H3K9ac was negatively associated with pre-work SBP and MAP; H3K9me3 was negatively associated with pre-work SBP, DBP, and MAP; and H3K27me3 was negatively associated with pre-work SBP. Among office workers, H3K9me3 was negatively associated with pre-work SBP, DBP, and MAP. Among truck drivers, H3K9ac and H3K27me were negatively associated with pre-work SBP, and H3K27me3 was positively associated with post-work PP. DISCUSSION AND CONCLUSION: Epigenome-wide H3K9ac, H3K9me3, and H3K27me3 were negatively associated with multiple pre-work blood pressure measures. These associations substantially changed during the day, suggesting an influence of daily activities. Blood-based histone modification biomarkers are potential candidates for studies requiring estimations of morning/pre-work blood pressure.
CONTEXT: Histone modifications regulate gene expression; dysregulation has been linked with cardiovascular diseases. Associations between histone modification levels and blood pressure in humans are unclear. OBJECTIVE: We examine the relationship between global histone concentrations and various markers of blood pressure. MATERIALS AND METHODS: Using the Beijing Truck Driver Air Pollution Study, we investigated global peripheral white blood cell histone modifications (H3K9ac, H3K9me3, H3K27me3, and H3K36me3) associations with pre- and post-work measurements of systolic (SBP) and diastolic (DBP) blood pressure, mean arterial pressure (MAP), and pulse pressure (PP) using multivariable mixed-effect models. RESULTS: H3K9ac was negatively associated with pre-work SBP and MAP; H3K9me3 was negatively associated with pre-work SBP, DBP, and MAP; and H3K27me3 was negatively associated with pre-work SBP. Among office workers, H3K9me3 was negatively associated with pre-work SBP, DBP, and MAP. Among truck drivers, H3K9ac and H3K27me were negatively associated with pre-work SBP, and H3K27me3 was positively associated with post-work PP. DISCUSSION AND CONCLUSION: Epigenome-wide H3K9ac, H3K9me3, and H3K27me3 were negatively associated with multiple pre-work blood pressure measures. These associations substantially changed during the day, suggesting an influence of daily activities. Blood-based histone modification biomarkers are potential candidates for studies requiring estimations of morning/pre-work blood pressure.
Authors: Antonio Martinez-Nicolas; Martin Meyer; Stefan Hunkler; Juan Antonio Madrid; Maria Angeles Rol; Andrea H Meyer; Andy Schötzau; Selim Orgül; Kurt Kräuchi Journal: Physiol Behav Date: 2015-06-11
Authors: Norihiro Kato; Marie Loh; Fumihiko Takeuchi; Niek Verweij; Xu Wang; Weihua Zhang; Tanika N Kelly; Danish Saleheen; Benjamin Lehne; Irene Mateo Leach; Molly Scannell Bryan; Yik-Ying Teo; Jiang He; Paul Elliott; E Shyong Tai; Pim van der Harst; Jaspal S Kooner; John C Chambers; Alexander W Drong; James Abbott; Simone Wahl; Sian-Tsung Tan; William R Scott; Gianluca Campanella; Marc Chadeau-Hyam; Uzma Afzal; Tarunveer S Ahluwalia; Marc Jan Bonder; Peng Chen; Abbas Dehghan; Todd L Edwards; Tõnu Esko; Min Jin Go; Sarah E Harris; Jaana Hartiala; Silva Kasela; Anuradhani Kasturiratne; Chiea-Chuen Khor; Marcus E Kleber; Huaixing Li; Zuan Yu Mok; Masahiro Nakatochi; Nur Sabrina Sapari; Richa Saxena; Alexandre F R Stewart; Lisette Stolk; Yasuharu Tabara; Ai Ling Teh; Ying Wu; Jer-Yuarn Wu; Yi Zhang; Imke Aits; Alexessander Da Silva Couto Alves; Shikta Das; Rajkumar Dorajoo; Jemma C Hopewell; Yun Kyoung Kim; Robert W Koivula; Jian'an Luan; Leo-Pekka Lyytikäinen; Quang N Nguyen; Mark A Pereira; Iris Postmus; Olli T Raitakari; Robert A Scott; Rossella Sorice; Vinicius Tragante; Michela Traglia; Jon White; Ken Yamamoto; Yonghong Zhang; Linda S Adair; Alauddin Ahmed; Koichi Akiyama; Rasheed Asif; Tin Aung; Inês Barroso; Andrew Bjonnes; Timothy R Braun; Hui Cai; Li-Ching Chang; Chien-Hsiun Chen; Ching-Yu Cheng; Yap-Seng Chong; Rory Collins; Regina Courtney; Gail Davies; Graciela Delgado; Loi D Do; Pieter A Doevendans; Ron T Gansevoort; Yu-Tang Gao; Tanja B Grammer; Niels Grarup; Jagvir Grewal; Dongfeng Gu; Gurpreet S Wander; Anna-Liisa Hartikainen; Stanley L Hazen; Jing He; Chew-Kiat Heng; James E Hixson; Albert Hofman; Chris Hsu; Wei Huang; Lise L N Husemoen; Joo-Yeon Hwang; Sahoko Ichihara; Michiya Igase; Masato Isono; Johanne M Justesen; Tomohiro Katsuya; Muhammad G Kibriya; Young Jin Kim; Miyako Kishimoto; Woon-Puay Koh; Katsuhiko Kohara; Meena Kumari; Kenneth Kwek; Nanette R Lee; Jeannette Lee; Jiemin Liao; Wolfgang Lieb; David C M Liewald; Tatsuaki Matsubara; Yumi Matsushita; Thomas Meitinger; Evelin Mihailov; Lili Milani; Rebecca Mills; Nina Mononen; Martina Müller-Nurasyid; Toru Nabika; Eitaro Nakashima; Hong Kiat Ng; Kjell Nikus; Teresa Nutile; Takayoshi Ohkubo; Keizo Ohnaka; Sarah Parish; Lavinia Paternoster; Hao Peng; Annette Peters; Son T Pham; Mohitha J Pinidiyapathirage; Mahfuzar Rahman; Hiromi Rakugi; Olov Rolandsson; Michelle Ann Rozario; Daniela Ruggiero; Cinzia F Sala; Ralhan Sarju; Kazuro Shimokawa; Harold Snieder; Thomas Sparsø; Wilko Spiering; John M Starr; David J Stott; Daniel O Stram; Takao Sugiyama; Silke Szymczak; W H Wilson Tang; Lin Tong; Stella Trompet; Väinö Turjanmaa; Hirotsugu Ueshima; André G Uitterlinden; Satoshi Umemura; Marja Vaarasmaki; Rob M van Dam; Wiek H van Gilst; Dirk J van Veldhuisen; Jorma S Viikari; Melanie Waldenberger; Yiqin Wang; Aili Wang; Rory Wilson; Tien-Yin Wong; Yong-Bing Xiang; Shuhei Yamaguchi; Xingwang Ye; Robin D Young; Terri L Young; Jian-Min Yuan; Xueya Zhou; Folkert W Asselbergs; Marina Ciullo; Robert Clarke; Panos Deloukas; Andre Franke; Paul W Franks; Steve Franks; Yechiel Friedlander; Myron D Gross; Zhirong Guo; Torben Hansen; Marjo-Riitta Jarvelin; Torben Jørgensen; J Wouter Jukema; Mika Kähönen; Hiroshi Kajio; Mika Kivimaki; Jong-Young Lee; Terho Lehtimäki; Allan Linneberg; Tetsuro Miki; Oluf Pedersen; Nilesh J Samani; Thorkild I A Sørensen; Ryoichi Takayanagi; Daniela Toniolo; Habibul Ahsan; Hooman Allayee; Yuan-Tsong Chen; John Danesh; Ian J Deary; Oscar H Franco; Lude Franke; Bastiaan T Heijman; Joanna D Holbrook; Aaron Isaacs; Bong-Jo Kim; Xu Lin; Jianjun Liu; Winfried März; Andres Metspalu; Karen L Mohlke; Dharambir K Sanghera; Xiao-Ou Shu; Joyce B J van Meurs; Eranga Vithana; Ananda R Wickremasinghe; Cisca Wijmenga; Bruce H W Wolffenbuttel; Mitsuhiro Yokota; Wei Zheng; Dingliang Zhu; Paolo Vineis; Soterios A Kyrtopoulos; Jos C S Kleinjans; Mark I McCarthy; Richie Soong; Christian Gieger; James Scott Journal: Nat Genet Date: 2015-09-21 Impact factor: 38.330
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