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      Racial Discrimination, Neural Connectivity, and Epigenetic Aging Among Black Women

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          Key Points

          Question

          Is racial discrimination associated with brain connectivity, and are alterations in deep brain functional connectivity associated with accelerated epigenetic aging?

          Findings

          In this cohort study of 90 Black women in the US, higher self-reported racial discrimination was associated with greater resting-state functional connectivity (RSFC) between the locus coeruleus (LC) and precuneus. Significant indirect effects were observed for the association between racial discrimination frequency and DNA methylation age acceleration.

          Meaning

          These findings suggest that racial discrimination is associated with greater connectivity in pathways involved with rumination, which may increase vulnerability to stress-related disorders and neurodegenerative disease via epigenetic age acceleration.

          Abstract

          This cohort study uses neuroimaging to examine the association of racial discrimination with alterations in resting-state functional connectivity and accelerated epigenetic aging among Black women in the US.

          Abstract

          Importance

          Racial discrimination increases the risk of adverse brain health outcomes, potentially via neuroplastic changes in emotion processing networks. The involvement of deep brain regions (brainstem and midbrain) in these responses is unknown. Potential associations of racial discrimination with alterations in deep brain functional connectivity and accelerated epigenetic aging, a process that substantially increases vulnerability to health problems, are also unknown.

          Objective

          To examine associations of racial discrimination with brainstem and midbrain resting-state functional connectivity (RSFC) and DNA methylation age acceleration (DMAA) among Black women in the US.

          Design, Setting, and Participants

          This cohort study was conducted between January 1, 2012, and February 28, 2015, and included a community-based sample of Black women (aged ≥18 years) recruited as part of the Grady Trauma Project. Self-reported racial discrimination was examined in association with seed-to-voxel brain connectivity, including the locus coeruleus (LC), periaqueductal gray (PAG), and superior colliculus (SC); an index of DMAA (Horvath clock) was also evaluated. Posttraumatic stress disorder (PTSD), trauma exposure, and age were used as covariates in statistical models to isolate racial discrimination–related variance. Data analysis was conducted between January 10 and October 30, 2023.

          Exposure

          Varying levels of racial discrimination exposure, other trauma exposure, and posttraumatic stress disorder (PTSD).

          Main Outcomes and Measures

          Racial discrimination frequency was assessed with the Experiences of Discrimination Scale, other trauma exposure was evaluated with the Traumatic Events Inventory, and current PTSD was evaluated with the PTSD Symptom Scale. Seed-to-voxel functional connectivity analyses were conducted with LC, PAG, and SC seeds. To assess DMAA, the Methylation EPIC BeadChip assay (Illumina) was conducted with whole-blood samples from a subset of 49 participants.

          Results

          This study included 90 Black women, with a mean (SD) age of 38.5 (11.3) years. Greater racial discrimination was associated with greater left LC RSFC to the bilateral precuneus (a region within the default mode network implicated in rumination and reliving of past events; cluster size k = 228; t 85 = 4.78; P < .001, false discovery rate-corrected). Significant indirect effects were observed for the left LC-precuneus RSFC on the association between racial discrimination and DMAA (β [SE] = 0.45 [0.16]; 95% CI, 0.12-0.77).

          Conclusions and Relevance

          In this study, more frequent racial discrimination was associated with proportionately greater RSFC of the LC to the precuneus, and these connectivity alterations were associated with DMAA. These findings suggest that racial discrimination contributes to accelerated biological aging via altered connectivity between the LC and default mode network, increasing vulnerability for brain health problems.

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          Most cited references92

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          World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects.

          (2013)
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            DNA methylation age of human tissues and cell types

            Background It is not yet known whether DNA methylation levels can be used to accurately predict age across a broad spectrum of human tissues and cell types, nor whether the resulting age prediction is a biologically meaningful measure. Results I developed a multi-tissue predictor of age that allows one to estimate the DNA methylation age of most tissues and cell types. The predictor, which is freely available, was developed using 8,000 samples from 82 Illumina DNA methylation array datasets, encompassing 51 healthy tissues and cell types. I found that DNA methylation age has the following properties: first, it is close to zero for embryonic and induced pluripotent stem cells; second, it correlates with cell passage number; third, it gives rise to a highly heritable measure of age acceleration; and, fourth, it is applicable to chimpanzee tissues. Analysis of 6,000 cancer samples from 32 datasets showed that all of the considered 20 cancer types exhibit significant age acceleration, with an average of 36 years. Low age-acceleration of cancer tissue is associated with a high number of somatic mutations and TP53 mutations, while mutations in steroid receptors greatly accelerate DNA methylation age in breast cancer. Finally, I characterize the 353 CpG sites that together form an aging clock in terms of chromatin states and tissue variance. Conclusions I propose that DNA methylation age measures the cumulative effect of an epigenetic maintenance system. This novel epigenetic clock can be used to address a host of questions in developmental biology, cancer and aging research.
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              Genome-wide methylation profiles reveal quantitative views of human aging rates.

              The ability to measure human aging from molecular profiles has practical implications in many fields, including disease prevention and treatment, forensics, and extension of life. Although chronological age has been linked to changes in DNA methylation, the methylome has not yet been used to measure and compare human aging rates. Here, we build a quantitative model of aging using measurements at more than 450,000 CpG markers from the whole blood of 656 human individuals, aged 19 to 101. This model measures the rate at which an individual's methylome ages, which we show is impacted by gender and genetic variants. We also show that differences in aging rates help explain epigenetic drift and are reflected in the transcriptome. Moreover, we show how our aging model is upheld in other human tissues and reveals an advanced aging rate in tumor tissue. Our model highlights specific components of the aging process and provides a quantitative readout for studying the role of methylation in age-related disease. Copyright © 2013 Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                13 June 2024
                June 2024
                13 June 2024
                : 7
                : 6
                : e2416588
                Affiliations
                [1 ]Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
                [2 ]Department of Neuroscience, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
                [3 ]Department of Psychiatry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
                [4 ]Division of Depression and Anxiety, McLean Hospital, Belmont, Massachusetts
                [5 ]Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
                [6 ]Department of Psychology, Georgia State University, Atlanta
                [7 ]Atlanta Veterans Affairs Medical Center, Atlanta, Georgia
                [8 ]Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, Michigan
                [9 ]Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
                Author notes
                Article Information
                Accepted for Publication: April 10, 2024.
                Published: June 13, 2024. doi:10.1001/jamanetworkopen.2024.16588
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2024 Elbasheir A et al. JAMA Network Open.
                Corresponding Author: Negar Fani, PhD, Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, 101 Woodruff Cir, Ste 6007, Atlanta, GA 30322 ( nfani@ 123456emory.edu ).
                Author Contributions: Dr Fani had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Elbasheir, Carter, Bradley, Jovanovic, Fani.
                Acquisition, analysis, or interpretation of data: Elbasheir, Katrinli, Kearney, Lanius, Harnett, Ely, Gillespie, Stevens, Lori, van Rooij, Powers, Jovanovic, Smith, Fani.
                Drafting of the manuscript: Elbasheir, Fani.
                Critical review of the manuscript for important intellectual content: All authors.
                Statistical analysis: Elbasheir, Katrinli, Harnett, Fani.
                Obtained funding: Jovanovic, Smith, Fani.
                Administrative, technical, or material support: Lanius, Ely, Stevens, Smith, Fani.
                Supervision: Lanius, Lori, Powers, Jovanovic, Smith, Fani.
                Conflict of Interest Disclosures: Dr Harnett reported receiving grants from the National Institute of Mental Health (NIMH) and the Brain and Behavior Research Foundation outside the submitted work. Dr Jovanovic reported receiving grants from the National Institutes of Health (NIH) during the conduct of the study and outside the submitted work. Dr Fani reported receiving grants from the NIH during the conduct of the study. No other disclosures were reported.
                Funding/Support: This work was primarily supported by grants MH101380 (Dr Fani), MH099211 (Dr Gillespie), HD071982 (Dr Bradley), and R01MH108826 (Dr Smith) from the NIMH; by grant AT011267 from the National Center for Complementary and Integrative Health (Dr Fani); and by grant CA220254-02S1 from the National Cancer Institute. Dr Katrinli was supported by the Building Interdisciplinary Research Careers in Women’s Health of the NIH under award K12HD085850.
                Role of the Funder/Sponsor: The funders were involved in the design and conduct of the study and collection, management, analysis, and interpretation of the data; they had no role in the preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Meeting Presentation: These data were presented at the Society of Biological Psychiatry Annual Meeting; May 11, 2024; Austin, Texas.
                Data Sharing Statement: See Supplement 2.
                Additional Contributions: We thank members of the Grady Trauma Project and the Fani laboratory for support with data collection and technical assistance. We also thank participants of the Grady Trauma Project for their time and involvement in this study.
                Article
                zoi240548
                10.1001/jamanetworkopen.2024.16588
                11177169
                38869898
                52f2b8f5-9bff-4e5e-930f-142b777f71ce
                Copyright 2024 Elbasheir A et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 11 December 2023
                : 10 April 2024
                Categories
                Research
                Original Investigation
                Online Only
                Psychiatry

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