Toggle Main Menu Toggle Search

Open Access padlockePrints

Histone 3 modifications and blood pressure in the Beijing Truck Driver Air Pollution Study

Lookup NU author(s): Dr Hyang-Min Byun

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

© 2017 Northwestern University. Published by Informa UK Limited, trading as Taylor & Francis Group 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.


Publication metadata

Author(s): Kresovich JK, Zhang Z, Fang F, Zheng Y, Sanchez-Guerra M, Joyce BT, Zhong J, Chervona Y, Wang S, Chang D, McCracken JP, Diaz A, Bonzini M, Carugno M, Koutrakis P, Kang C-M, Bian S, Gao T, Byun H-M, Schwartz J, Baccarelli AA, Hou L

Publication type: Article

Publication status: Published

Journal: Biomarkers

Year: 2017

Volume: 22

Issue: 6

Pages: 584-593

Print publication date: 21/07/2017

Online publication date: 05/07/2017

Acceptance date: 18/06/2017

ISSN (print): 1354-750X

ISSN (electronic): 1366-5804

Publisher: Taylor and Francis Ltd

URL: https://doi.org/10.1080/1354750X.2017.1347961

DOI: 10.1080/1354750X.2017.1347961


Altmetrics

Altmetrics provided by Altmetric


Actions

Find at Newcastle University icon    Link to this publication


Share