OF SUPPLEMENT This project will advance understanding of the biological mechanisms that underlie different paths in cognitive aging, cognitive decline and Alzheimer disease (AD) and AD-related dementias (ADRD) through examination of DNA methylation (DNAm) ? a marker that can reflect epigenetic age and gene expression ? and its relation to neuropsychiatric symptoms (NPS) among those who may be in preclinical phases of AD or have mild cognitive impairment (MCI). This project features novel technology ? the latest-generation Illumina MethylationEPIC BeadChip 850K platform ? and is embedded within the randomized study design of VITAL (VITamin D and OmegA-3 TriaL; NCT01169259) and VITAL-DEP (NCT01696435), a late-life depression prevention ancillary study. The proposal is directly relevant to two NIA high-priority topics: 1) ?geroscience approaches to AD? and 2) understanding ?molecular mechanisms of NPS in ADRD? using ?high-dimensional molecular and phenotypic data from aging cohorts?. The conceptual framework of this proposal is that: accelerated biological aging predisposes to worse brain aging; depression, anxiety and other psychopathology are involved in faster aging of both body and brain; furthermore, cognitive impairment accompanied by NPS vs. without NPS may represent underlying mechanisms that generate higher risk for worse AD/ADRD outcomes. Genome-wide methylation analysis is a powerful approach to address this model. First, pilot data in VITAL- DEP, and results from other groups, indicate that DNAm age correlates more strongly with aging than other markers. Second, DNAm age is a sensitive indicator of change in molecular aging over the relevant follow-up period for observing cognitive decline. Third, DNA methylation is a biomarker not only of aging but also of gene expression. Indeed, a DNAm analytic approach to investigate differences in epigenetic aging and gene expression may uncover targetable molecular mechanisms that undergird varying cognitive and NPS phenotypes and cognitive outcomes. We propose three Specific Aims to test hypotheses in our model. First, we will determine differences in epigenetic aging by contrasting cognitive and NPS phenotypes: we will assess baseline differences in epigenetic aging among VITAL-DEP participants (aged 50-90 years) with normal cognition, MCI without NPS and MCI with NPS, and test whether NPS severity correlates with epigenetic aging. Second, we will evaluate genome-wide differences in methylation (i.e., at specific CpG sites) in MCI with vs. without NPS. Third, in a longitudinal analysis using repeated measures of both DNA methylation and cognitive tests, we will determine whether epigenetic aging correlates with cognitive decline; we will also explore interactions with NPS and the vitamin D and omega-3 randomized agents. Strong DNAm pilot data in VITAL-DEP and the ability to leverage this large, well-characterized cohort and its biospecimen resources and infrastructure provide reassurance that this project can achieve its novel, high-impact aims.

Public Health Relevance

This novel proposal will measure differences in epigenetic biomarkers of DNA methylation age (a marker of molecular aging) and genome-wide differences in DNA methylation (a mechanism that influences gene expression) among older adults with contrasting cognitive and neuropsychiatric phenotypes. Furthermore, we will determine relations of accelerated epigenetic aging to prospective cognitive change in older adults, including those who may be in preclinical phases of Alzheimer disease (AD) or have mild cognitive impairment. Thus, this project addresses the NIA high-priority topics of: 1) using geroscience approaches to AD and related disorders (ADRD) and 2) understanding the molecular mechanisms in neuropsychiatric symptoms of ADRD.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
3R01MH091448-09S1
Application #
9718502
Study Section
Program Officer
Evans, Jovier D
Project Start
2010-09-29
Project End
2019-08-31
Budget Start
2018-09-01
Budget End
2019-08-31
Support Year
9
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
Okereke, Olivia I; Reynolds 3rd, Charles F; Mischoulon, David et al. (2018) The VITamin D and OmegA-3 TriaL-Depression Endpoint Prevention (VITAL-DEP): Rationale and design of a large-scale ancillary study evaluating vitamin D and marine omega-3 fatty acid supplements for prevention of late-life depression. Contemp Clin Trials 68:133-145
Chang, Shun-Chiao; Cassidy, Aedin; Willett, Walter C et al. (2016) Dietary flavonoid intake and risk of incident depression in midlife and older women. Am J Clin Nutr 104:704-14
Chang, Shun-Chiao; Wang, Wei; Pan, An et al. (2016) Racial Variation in Depression Risk Factors and Symptom Trajectories among Older Women. Am J Geriatr Psychiatry 24:1051-1062
Chang, Shun-Chiao; Pan, An; Kawachi, Ichiro et al. (2016) Risk factors for late-life depression: A prospective cohort study among older women. Prev Med 91:144-151
Okereke, Olivia I; Singh, Ankura (2016) The role of vitamin D in the prevention of late-life depression. J Affect Disord 198:1-14
Vanyukov, Polina M; Szanto, Katalin; Siegle, Greg J et al. (2015) Impulsive traits and unplanned suicide attempts predict exaggerated prefrontal response to angry faces in the elderly. Am J Geriatr Psychiatry 23:829-39
Okereke, Olivia I; Cook, Nancy R; Albert, Christine M et al. (2015) Effect of long-term supplementation with folic acid and B vitamins on risk of depression in older women. Br J Psychiatry 206:324-31
Tsai, Alexander C; Lucas, Michel; Okereke, Olivia I et al. (2014) Suicide mortality in relation to dietary intake of n-3 and n-6 polyunsaturated fatty acids and fish: equivocal findings from 3 large US cohort studies. Am J Epidemiol 179:1458-66
Okereke, Olivia I; Lyness, Jeffrey M; Lotrich, Francis E et al. (2013) Depression in Late-Life: a Focus on Prevention. Focus (Am Psychiatr Publ) 11:22-31
Pan, An; Keum, Nana; Okereke, Olivia I et al. (2012) Bidirectional association between depression and metabolic syndrome: a systematic review and meta-analysis of epidemiological studies. Diabetes Care 35:1171-80

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