Biomarkers are cellular, biochemical or molecular alterations that can be easily and non-invasively measured in human tissues and are directly or indirectly in the pathway of disease. Over the last decade, scientific research has repeatedly shown that ambient air particulate pollution and lead exposures accelerate cognitive aging. The limited availability of biomarkers that reflect at-risk exposures and cognitive decline dramaticall limits opportunities for effective targeted prevention. To address this gap, our long-term goal is to identify novel mitochondriomic biomarkers that can reconstruct past environmental influences and predict the risk of future cognitive impairment. We will use state-of-art blood-based analyses of 1) mitochondrial DNA (mtDNA) damage and aging by means of a panel of complementary markers of oxidative damage, heteroplasmy and mtDNA abundance;and 2) methylation of nuclear DNA (nDNA) genes coding for mitochondrial proteins (for which we will have the unique opportunity to time- and cost-effectively abstract information from ready-to-use genome- wide DNA methylation data). These markers have properties that make them exceptionally well suited to biomarker development, as they: i) have been shown to be persistently altered in blood by environmental exposures;and ii) can mark the presence of aged, damaged blood mitochondria, a primary source of systemic oxidative stress to which the brain is particularly vulnerable. A major challenge for age-related biomarkers is that - precisely because they change over time - cross-sectional and case-control studies, which offer more potential to analyze relevant target/diseased tissue samples, cannot provide evidence of the temporality of associations. Altered biomarkers could merely reflect lifestyle changes or other influences that followed, rather than preceded cognitive deficits. In this proposal, we exploit the unique nature of the Normative Aging Study (NAS) cohort in which we have repeated collections of DNA samples, exposure and cognitive data every 3.5 years for 2 decades. Because of this, we can determine whether biomarker changes, measured longitudinally over two time points, both follow exposure and precede disease. This is a major methodological advantage over an approach that utilizes a case-control design. All findings will be independently validated in MOBILIZE, a cohort remarkably similar to the NAS for study design, exposure levels, and participants'characteristics. We will confirm DNA methylation findings by Pyrosequencing, and we will analyze mRNA expression to assess the function of the DNA methylation changes. We will use advanced statistical modeling to integrate a panel of biomarkers of systemic oxidative stress and inflammation in the paths linking exposure, blood mitochondriomics, and cognitive decline. As we can leverage a wealth of extant resources and data from the NAS and MOBILIZE cohorts, we will be able to cost-effectively recapitulate data from up to two decades of aging over the cycle of a 4-year grant.

Public Health Relevance

The impact of our investigation is in the identification of blood biomarkers that reflect the cumulative biological effects of adverse exposures and can be used to predict future cognitive deficits. As the age of the US population increases, mitochondriomic analyses that can be non-invasively conducted on blood samples have the potential to lead to the development of easy-to-measure biomarkers that may help to protect millions of individuals against impaired cognition and its sequelae. By studying the progression of cognitive decline over two decades in a large number of individuals, our research may provide new tools to develop targeted prevention when it is most effective, i.e. in early stages or even before any subclinical cognitive impairment is detected.

Agency
National Institute of Health (NIH)
Institute
National Institute of Environmental Health Sciences (NIEHS)
Type
Research Project (R01)
Project #
1R01ES021733-01
Application #
8343299
Study Section
Neurological, Aging and Musculoskeletal Epidemiology (NAME)
Program Officer
Shaughnessy, Daniel
Project Start
2012-08-20
Project End
2016-04-30
Budget Start
2012-08-20
Budget End
2013-04-30
Support Year
1
Fiscal Year
2012
Total Cost
$546,891
Indirect Cost
$188,927
Name
Harvard University
Department
Public Health & Prev Medicine
Type
Schools of Public Health
DUNS #
149617367
City
Boston
State
MA
Country
United States
Zip Code
02115
Rodosthenous, Rodosthenis S; Kloog, Itai; Colicino, Elena et al. (2018) Extracellular vesicle-enriched microRNAs interact in the association between long-term particulate matter and blood pressure in elderly men. Environ Res 167:640-649
Aslibekyan, Stella; Agha, Golareh; Colicino, Elena et al. (2018) Association of Methylation Signals With Incident Coronary Heart Disease in an Epigenome-Wide Assessment of Circulating Tumor Necrosis Factor ?. JAMA Cardiol 3:463-472
Liu, C; Marioni, R E; Hedman, Å K et al. (2018) A DNA methylation biomarker of alcohol consumption. Mol Psychiatry 23:422-433
Gao, Xu; Colicino, Elena; Shen, Jincheng et al. (2018) Accelerated DNA methylation age and the use of antihypertensive medication among older adults. Aging (Albany NY) 10:3210-3228
Kresovich, Jacob K; Bulka, Catherine M; Joyce, Brian T et al. (2018) The Inflammatory Potential of Dietary Manganese in a Cohort of Elderly Men. Biol Trace Elem Res 183:49-57
Joyce, Brian T; Zheng, Yinan; Zhang, Zhou et al. (2018) miRNA-Processing Gene Methylation and Cancer Risk. Cancer Epidemiol Biomarkers Prev 27:550-557
Zhong, Jia; Trevisi, Letizia; Urch, Bruce et al. (2017) B-vitamin Supplementation Mitigates Effects of Fine Particles on Cardiac Autonomic Dysfunction and Inflammation: A Pilot Human Intervention Trial. Sci Rep 7:45322
Colicino, Elena; Wilson, Ander; Frisardi, Maria Chiara et al. (2017) Telomere Length, Long-Term Black Carbon Exposure, and Cognitive Function in a Cohort of Older Men: The VA Normative Aging Study. Environ Health Perspect 125:76-81
Peng, Cheng; Sanchez-Guerra, Marco; Wilson, Ander et al. (2017) Short-term effects of air temperature and mitochondrial DNA lesions within an older population. Environ Int 103:23-29
Lee, Kyu Ha; Tadesse, Mahlet G; Baccarelli, Andrea A et al. (2017) Multivariate Bayesian variable selection exploiting dependence structure among outcomes: Application to air pollution effects on DNA methylation. Biometrics 73:232-241

Showing the most recent 10 out of 59 publications