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Nguyen S, McEvoy LK, Espeland MA, Whitsel EA, Lu A, Horvath S, Manson JE, Rapp SR, Shadyab AH. Associations of Epigenetic Age Estimators With Cognitive Function Trajectories in the Women's Health Initiative Memory Study. Neurology 2024; 103:e209534. [PMID: 38857479 PMCID: PMC11226313 DOI: 10.1212/wnl.0000000000209534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 04/05/2024] [Indexed: 06/12/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Epigenetic age estimators indicating faster/slower biological aging vs chronological age independently associate with several age-related outcomes; however, longitudinal associations with cognitive function are understudied. We examined associations of epigenetic age estimators with cognitive function measured annually. METHODS This longitudinal study consisted of older women enrolled in the Women's Health Initiative Memory Study with DNA methylation (DNAm) collected at baseline (1995-1998) from 3 ancillary studies and were followed up to 13 years. Global cognitive function was measured annually by Modified Mini-Mental State Examination (3MS; baseline-2007) and by modified Telephone Interview for Cognitive Status (TICS-m, 2008-2021). We calculated 5 epigenetic age estimators: extrinsic AgeAccel, intrinsic AgeAccel, AgeAccelPheno, AgeAccelGrim2, Dunedin Pace of Aging Calculated From the Epigenome (DunedinPACE), and AgeAccelGrim2 components (DNA-based plasma protein surrogates). We estimated longitudinal epigenetic age estimator-cognitive function associations using linear mixed-effects models containing age, education, race or ethnicity, and subsequently alcohol, smoking, body mass index, and comorbidities. We examined effect modification by APOE ε4 carriage. RESULTS A total of 795 participants were enrolled. The mean baseline age was 70.8 ± 4 years (10.7% Black, 3.9% Hispanic or Latina, 85.4% White), A 1-SD (0.12) increment in DunedinPACE associated with faster annual declines in TICS-m scores in minimally adjusted (β = -0.118, 95% CI -0.202 to -0.034; p = 0.0006) and fully adjusted (β = -0.123, 95% CI -0.211 to -0.036; p = 0.006) models. AgeAccelPheno associated with faster annual declines in TICS-m with minimal adjustment (β = -0.091, 95% CI -0.176 to -0.006; p = 0.035) but not with full adjustment. No other epigenetic age estimators associated with changes in 3MS or TICS-m. Higher values of DNAm-based surrogates of growth differentiation factor 15, beta-2 microglobulin, Cystatin C, tissue inhibitor metalloproteinase 1, and adrenomedullin associated with faster annual declines in 3MS and TICS-m. Higher DNAm log A1c associated with faster annual declines in TICS-m only. DunedinPACE associated with faster annual declines in 3MS among APOE ε4 carriers but not among noncarriers (p-interaction = 0.020). DISCUSSION Higher DunedinPACE associated with faster declines in TICS-m and 3MS scores among APOE ε4 carriers. DunedinPACE may help identify older women at risk of future cognitive decline. Limitations include the ancillary studies that collected epigenetic data not designed to study epigenetics and cognitive function. We examined epigenetic age estimators with global cognitive function and not specific cognitive domains. Findings may not generalize to men and more diverse populations.
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Affiliation(s)
- Steve Nguyen
- From the Division of Epidemiology (S.N., L.K.M., A.H.S.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla; Kaiser Permanente Washington Health Research Institute (L.K.M.), Seattle, WA; Departments of Internal Medicine and Biostatistics and Data Science (M.A.E.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Epidemiology (E.A.W.), Gillings School of Global Public Health; Department of Medicine (E.A.W.), School of Medicine, University of North Carolina, Chapel Hill; Altos Labs (A.L., S.H.), San Diego, CA; Department of Epidemiology (S.H.), UCLA Fielding School of Public Health, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry & Behavioral Medicine (S.R.R.), Wake Forest School of Medicine, Winston-Salem, NC; and Division of Geriatrics, Gerontology, and Palliative Care (A.H.S.), Department of Medicine, University of California, San Diego, La Jolla
| | - Linda K McEvoy
- From the Division of Epidemiology (S.N., L.K.M., A.H.S.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla; Kaiser Permanente Washington Health Research Institute (L.K.M.), Seattle, WA; Departments of Internal Medicine and Biostatistics and Data Science (M.A.E.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Epidemiology (E.A.W.), Gillings School of Global Public Health; Department of Medicine (E.A.W.), School of Medicine, University of North Carolina, Chapel Hill; Altos Labs (A.L., S.H.), San Diego, CA; Department of Epidemiology (S.H.), UCLA Fielding School of Public Health, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry & Behavioral Medicine (S.R.R.), Wake Forest School of Medicine, Winston-Salem, NC; and Division of Geriatrics, Gerontology, and Palliative Care (A.H.S.), Department of Medicine, University of California, San Diego, La Jolla
| | - Mark A Espeland
- From the Division of Epidemiology (S.N., L.K.M., A.H.S.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla; Kaiser Permanente Washington Health Research Institute (L.K.M.), Seattle, WA; Departments of Internal Medicine and Biostatistics and Data Science (M.A.E.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Epidemiology (E.A.W.), Gillings School of Global Public Health; Department of Medicine (E.A.W.), School of Medicine, University of North Carolina, Chapel Hill; Altos Labs (A.L., S.H.), San Diego, CA; Department of Epidemiology (S.H.), UCLA Fielding School of Public Health, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry & Behavioral Medicine (S.R.R.), Wake Forest School of Medicine, Winston-Salem, NC; and Division of Geriatrics, Gerontology, and Palliative Care (A.H.S.), Department of Medicine, University of California, San Diego, La Jolla
| | - Eric A Whitsel
- From the Division of Epidemiology (S.N., L.K.M., A.H.S.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla; Kaiser Permanente Washington Health Research Institute (L.K.M.), Seattle, WA; Departments of Internal Medicine and Biostatistics and Data Science (M.A.E.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Epidemiology (E.A.W.), Gillings School of Global Public Health; Department of Medicine (E.A.W.), School of Medicine, University of North Carolina, Chapel Hill; Altos Labs (A.L., S.H.), San Diego, CA; Department of Epidemiology (S.H.), UCLA Fielding School of Public Health, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry & Behavioral Medicine (S.R.R.), Wake Forest School of Medicine, Winston-Salem, NC; and Division of Geriatrics, Gerontology, and Palliative Care (A.H.S.), Department of Medicine, University of California, San Diego, La Jolla
| | - Ake Lu
- From the Division of Epidemiology (S.N., L.K.M., A.H.S.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla; Kaiser Permanente Washington Health Research Institute (L.K.M.), Seattle, WA; Departments of Internal Medicine and Biostatistics and Data Science (M.A.E.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Epidemiology (E.A.W.), Gillings School of Global Public Health; Department of Medicine (E.A.W.), School of Medicine, University of North Carolina, Chapel Hill; Altos Labs (A.L., S.H.), San Diego, CA; Department of Epidemiology (S.H.), UCLA Fielding School of Public Health, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry & Behavioral Medicine (S.R.R.), Wake Forest School of Medicine, Winston-Salem, NC; and Division of Geriatrics, Gerontology, and Palliative Care (A.H.S.), Department of Medicine, University of California, San Diego, La Jolla
| | - Steve Horvath
- From the Division of Epidemiology (S.N., L.K.M., A.H.S.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla; Kaiser Permanente Washington Health Research Institute (L.K.M.), Seattle, WA; Departments of Internal Medicine and Biostatistics and Data Science (M.A.E.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Epidemiology (E.A.W.), Gillings School of Global Public Health; Department of Medicine (E.A.W.), School of Medicine, University of North Carolina, Chapel Hill; Altos Labs (A.L., S.H.), San Diego, CA; Department of Epidemiology (S.H.), UCLA Fielding School of Public Health, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry & Behavioral Medicine (S.R.R.), Wake Forest School of Medicine, Winston-Salem, NC; and Division of Geriatrics, Gerontology, and Palliative Care (A.H.S.), Department of Medicine, University of California, San Diego, La Jolla
| | - Joann E Manson
- From the Division of Epidemiology (S.N., L.K.M., A.H.S.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla; Kaiser Permanente Washington Health Research Institute (L.K.M.), Seattle, WA; Departments of Internal Medicine and Biostatistics and Data Science (M.A.E.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Epidemiology (E.A.W.), Gillings School of Global Public Health; Department of Medicine (E.A.W.), School of Medicine, University of North Carolina, Chapel Hill; Altos Labs (A.L., S.H.), San Diego, CA; Department of Epidemiology (S.H.), UCLA Fielding School of Public Health, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry & Behavioral Medicine (S.R.R.), Wake Forest School of Medicine, Winston-Salem, NC; and Division of Geriatrics, Gerontology, and Palliative Care (A.H.S.), Department of Medicine, University of California, San Diego, La Jolla
| | - Stephen R Rapp
- From the Division of Epidemiology (S.N., L.K.M., A.H.S.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla; Kaiser Permanente Washington Health Research Institute (L.K.M.), Seattle, WA; Departments of Internal Medicine and Biostatistics and Data Science (M.A.E.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Epidemiology (E.A.W.), Gillings School of Global Public Health; Department of Medicine (E.A.W.), School of Medicine, University of North Carolina, Chapel Hill; Altos Labs (A.L., S.H.), San Diego, CA; Department of Epidemiology (S.H.), UCLA Fielding School of Public Health, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry & Behavioral Medicine (S.R.R.), Wake Forest School of Medicine, Winston-Salem, NC; and Division of Geriatrics, Gerontology, and Palliative Care (A.H.S.), Department of Medicine, University of California, San Diego, La Jolla
| | - Aladdin H Shadyab
- From the Division of Epidemiology (S.N., L.K.M., A.H.S.), Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla; Kaiser Permanente Washington Health Research Institute (L.K.M.), Seattle, WA; Departments of Internal Medicine and Biostatistics and Data Science (M.A.E.), Wake Forest University School of Medicine, Winston-Salem, NC; Department of Epidemiology (E.A.W.), Gillings School of Global Public Health; Department of Medicine (E.A.W.), School of Medicine, University of North Carolina, Chapel Hill; Altos Labs (A.L., S.H.), San Diego, CA; Department of Epidemiology (S.H.), UCLA Fielding School of Public Health, Los Angeles, CA; Division of Preventive Medicine (J.E.M.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Psychiatry & Behavioral Medicine (S.R.R.), Wake Forest School of Medicine, Winston-Salem, NC; and Division of Geriatrics, Gerontology, and Palliative Care (A.H.S.), Department of Medicine, University of California, San Diego, La Jolla
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Knisely MR, Masese RV, Mathias JG, Yang Q, Hatch D, Lê BM, Luyster F, Garrett ME, Tanabe PJ, Shah NR, Ashley-Koch A. Epigenetic Aging Associations With Psychoneurological Symptoms and Social Functioning in Adults With Sickle Cell Disease. Biol Res Nurs 2024:10998004241250322. [PMID: 38679469 DOI: 10.1177/10998004241250322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Abstract
Objective: Sickle cell disease (SCD), the most common inherited blood disorder in the United States, is associated with severe psychoneurological symptoms. While epigenetic age acceleration has been linked to psychoneurological symptom burden in other diseases, this connection is unexplored in SCD. This study aimed to assess the association between epigenetic age acceleration and psychoneurological symptom burden in SCD. Methods: In this cross-sectional study, emotional impact, pain impact, sleep impact, social functioning, and cognitive function were assessed in 87 adults living with SCD. DNA methylation data were generated from blood specimens and used to calculate epigenetic age using five clocks (Horvath, Hannum, PhenoAge, GrimAge, & DunedinPACE). Associations between epigenetic age acceleration and symptoms were assessed. Results: The sample (N = 87) had a mean (SD) chronologic age was 30.6 (8.1) years. Epigenetic age acceleration was associated with several symptom outcomes. GrimAge age acceleration (β = -0.49, p = .03) and increased DunedinPACE (β = -2.23, p = .004) were associated with worse emotional impact scores. PhenoAge (β = -0.32, p = .04) and the GrimAge (β = -0.48, p = .05) age acceleration were associated with worse pain impact scores. Increased DunedinPACE (β = -2.07 p = .04) were associated with worse sleep impact scores. Increased DunedinPACE (β = -2.87, p = .005) was associated with worse social functioning scores. We did not find associations between epigenetic age acceleration and cognitive function in this sample. Conclusion: Epigenetic age acceleration was associated with worse symptom experiences, suggesting the potential for epigenetic age acceleration as a biomarker to aid in risk stratification or targets for intervention to mitigate symptom burden in SCD.
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Affiliation(s)
| | - Rita V Masese
- Center for Bioethics, Department of Social Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Joacy G Mathias
- Division of Women's Community and Population Health, Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, USA
| | - Qing Yang
- Duke University School of Nursing, Durham, NC, USA
| | - Daniel Hatch
- Duke University School of Nursing, Durham, NC, USA
| | - Brandon M Lê
- Duke Molecular Physiology Institute, Durham, NC, USA
| | - Faith Luyster
- University of Pittsburgh School of Nursing, Pittsburgh, PA, USA
| | | | | | - Nirmish R Shah
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Allison Ashley-Koch
- Duke Molecular Physiology Institute and Department of Medicine, Duke University School of Medicine, Durham, NC, USA
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Graves AJ, Danoff JS, Kim M, Brindley SR, Skyberg AM, Giamberardino SN, Lynch ME, Straka BC, Lillard TS, Gregory SG, Connelly JJ, Morris JP. Accelerated epigenetic age is associated with whole-brain functional connectivity and impaired cognitive performance in older adults. Sci Rep 2024; 14:9646. [PMID: 38671048 PMCID: PMC11053089 DOI: 10.1038/s41598-024-60311-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 04/21/2024] [Indexed: 04/28/2024] Open
Abstract
While chronological age is a strong predictor for health-related risk factors, it is an incomplete metric that fails to fully characterize the unique aging process of individuals with different genetic makeup, neurodevelopment, and environmental experiences. Recent advances in epigenomic array technologies have made it possible to generate DNA methylation-based biomarkers of biological aging, which may be useful in predicting a myriad of cognitive abilities and functional brain network organization across older individuals. It is currently unclear which cognitive domains are negatively correlated with epigenetic age above and beyond chronological age, and it is unknown if functional brain organization is an important mechanism for explaining these associations. In this study, individuals with accelerated epigenetic age (i.e. AgeAccelGrim) performed worse on tasks that spanned a wide variety of cognitive faculties including both fluid and crystallized intelligence (N = 103, average age = 68.98 years, 73 females, 30 males). Additionally, fMRI connectome-based predictive models suggested a mediating mechanism of functional connectivity on epigenetic age acceleration-cognition associations primarily in medial temporal lobe and limbic structures. This research highlights the important role of epigenetic aging processes on the development and maintenance of healthy cognitive capacities and function of the aging brain.
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Affiliation(s)
| | | | - Minah Kim
- University of Virginia, Charlottesville, USA
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Felt J, Harrington K, Ram N, O’Donnell K, Sliwinski M, Benson L, Zhang Z, Meaney M, Putnam F, Noll J, Shenk C. Receptive Language Abilities for Females Exposed to Early Life Adversity: Modification by Epigenetic Age Acceleration at Midlife in a 30-Year Prospective Cohort Study. J Gerontol B Psychol Sci Soc Sci 2023; 78:585-595. [PMID: 36190812 PMCID: PMC10066744 DOI: 10.1093/geronb/gbac158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVES Deviations from normative trajectories of receptive language abilities following early life adversity (ELA) may indicate an elevated risk for advanced cognitive aging and related morbidities. Accelerated epigenetic aging at midlife may further identify those at greatest risk for advanced cognitive aging following ELA. We examined whether accelerations in epigenetic aging at midlife can identify those individuals who demonstrated the greatest change in receptive language abilities following ELA. METHODS Data were drawn from the Female Growth and Development Study (n = 86), a 30-year prospective cohort study of females exposed to substantiated child sexual abuse (CSA), a severe ELA, and a non-CSA comparison condition. The Peabody Picture Vocabulary Test-Revised (PPVT-R) measured receptive language abilities on 6 occasions from childhood to mid-life. Interindividual differences in PPVT-R trajectories were examined in relation to CSA exposure and across 5 independent measures of epigenetic age acceleration derived from first (Horvath DNAmAge, Hannum DNAmAge) and second (GrimAge, PhenoAge, Dunedin Pace of Aging) generation epigenetic clocks. RESULTS Quadratic growth models revealed that PPVT-R scores were significantly lower at age 25 for females exposed to CSA. Specifically, CSA exposed females had lower intercepts when GrimAge was accelerated and a smaller quadratic trend when PhenoAge was accelerated. DISCUSSION ELA is associated with significant differences in development of receptive language abilities with the most pronounced differences observed for females with accelerated epigenetic ages at mid-life. These findings suggest that epigenetic age acceleration could serve as an indicator of differences in cognitive aging and portend to later adulthood cognitive functioning.
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Affiliation(s)
- John M Felt
- Center for Healthy Aging, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Karra D Harrington
- Center for Healthy Aging, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Nilam Ram
- Department of Communications, Stanford University, Stanford, California, USA
- Department of Psychology, Stanford University, Stanford, California, USA
| | - Kieran J O’Donnell
- Child Study Center, Yale University, New Haven, Connecticut, USA
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Yale University, New Haven, Connecticut, USA
- The Douglas Hospital Research Centre, Department of Psychiatry, McGill University, Montreal, Quebec, Canada
- Child and Brain Developmental Program, Canadian Institute for Advanced Research, Toronto, Ontario, Canada
| | - Martin J Sliwinski
- Center for Healthy Aging, The Pennsylvania State University, University Park, Pennsylvania, USA
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Lizbeth Benson
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Zhenyu Zhang
- Department of Psychology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Michael J Meaney
- The Douglas Hospital Research Centre, Department of Psychiatry, McGill University, Montreal, Quebec, Canada
- Child and Brain Developmental Program, Canadian Institute for Advanced Research, Toronto, Ontario, Canada
- Singapore Institute of Clinical Sciences, Singapore
| | - Frank W Putnam
- Department of Psychiatry, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Jennie G Noll
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Chad E Shenk
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, Pennsylvania, USA
- Department of Pediatrics, The Pennsylvania State University School of Medicine, University Park, Pennsylvania, USA
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Li Z, Zong X, Li D, He Y, Tang J, Hu M, Chen X. Epigenetic clock analysis of blood samples in drug-naive first-episode schizophrenia patients. BMC Psychiatry 2023; 23:45. [PMID: 36650462 PMCID: PMC9843886 DOI: 10.1186/s12888-023-04533-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 01/06/2023] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Schizophrenia (SCZ) is a severe and chronic psychiatric disorder with premature age-related physiological changes. However, numerous previous studies examined the epigenetic age acceleration in SCZ patients and yielded inconclusive results. In this study, we propose to explore the epigenetic age acceleration in drug-naive first-episode SCZ (FSCZ) patients and investigate whether epigenetic age acceleration is associated with antipsychotic treatment, psychotic symptoms, cognition, and subcortical volumes. METHODS We assessed the epigenetic age in 38 drug-naive FSCZ patients and 38 healthy controls by using three independent clocks, including Horvath, Hannum and Levine algorithms. The epigenetic age measurements in SCZ patients were repeated after receiving 8 weeks risperidone monotherapy. RESULTS Our findings showed significantly positive correlations between epigenetic ages assessed by three clocks and chronological age in both FSCZ patients and healthy controls. Compared with healthy controls, drug-naive FSCZ patients have a significant epigenetic age deceleration in Horvath clock (p = 0.01), but not in Hannum clock (p = 0.07) and Levine clock (p = 0.43). The epigenetic ages of Hannum clock (p = 0.002) and Levine clock (p = 0.01) were significantly accelerated in SCZ patients after 8-week risperidone treatment. However, no significant associations between epigenetic age acceleration and psychotic symptoms, cognitive function, as well as subcortical volumes were observed in FSCZ patients. CONCLUSION These results demonstrate that distinct epigenetic clocks are sensitive to different aspects of aging process. Further investigations with comprehensive epigenetic clock analyses and large samples are required to confirm our findings.
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Affiliation(s)
- Zongchang Li
- grid.216417.70000 0001 0379 7164Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, No 139 Renmin Road, Changsha, Hunan 410011 P. R. China ,grid.216417.70000 0001 0379 7164China National Technology Institute on Mental Disorders & Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, P. R. China
| | - Xiaofen Zong
- grid.412632.00000 0004 1758 2270Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, P. R. China
| | - David Li
- grid.216417.70000 0001 0379 7164Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, No 139 Renmin Road, Changsha, Hunan 410011 P. R. China
| | - Ying He
- grid.216417.70000 0001 0379 7164Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, No 139 Renmin Road, Changsha, Hunan 410011 P. R. China ,grid.216417.70000 0001 0379 7164China National Technology Institute on Mental Disorders & Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, P. R. China
| | - Jinsong Tang
- grid.13402.340000 0004 1759 700XDepartment of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, P. R. China
| | - Maolin Hu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, P. R. China.
| | - Xiaogang Chen
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital, Central South University, No 139 Renmin Road, Changsha, Hunan, 410011, P. R. China. .,China National Technology Institute on Mental Disorders & Hunan Key Laboratory of Psychiatry and Mental Health, Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, P. R. China.
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Zhou A, Wu Z, Zaw Phyo AZ, Torres D, Vishwanath S, Ryan J. Epigenetic aging as a biomarker of dementia and related outcomes: a systematic review. Epigenomics 2022; 14:1125-1138. [PMID: 36154448 DOI: 10.2217/epi-2022-0209] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Background: Biological aging may be a robust biomarker of dementia or cognitive performance. This systematic review synthesized the evidence for an association between epigenetic aging and dementia, mild cognitive impairment and cognitive function. Methods: A systematic search was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Results: 30 eligible articles were included. There was no strong evidence that accelerated epigenetic aging was associated with dementia/mild cognitive impairment (n = 7). There was some evidence of an association with poorer cognition (n = 20), particularly with GrimAge acceleration, but this was inconsistent and varied across cognitive domains. A meta-analysis was not performed due to high study heterogeneity. Conclusion: There is insufficient evidence to indicate that current epigenetic aging clocks can be clinically useful biomarkers of dementia or cognitive aging.
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Affiliation(s)
- Aoshuang Zhou
- Division of Epidemiology, Jockey Club School of Public Health & Primary Care, Chinese University of Hong Kong, Hong Kong, China
| | - Zimu Wu
- Biological Neuropsychiatry & Dementia Unit, School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, 3004, Australia
| | - Aung Zaw Zaw Phyo
- Biological Neuropsychiatry & Dementia Unit, School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, 3004, Australia
| | - Daniel Torres
- Biological Neuropsychiatry & Dementia Unit, School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, 3004, Australia
| | - Swarna Vishwanath
- Biological Neuropsychiatry & Dementia Unit, School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, 3004, Australia
| | - Joanne Ryan
- Biological Neuropsychiatry & Dementia Unit, School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, 3004, Australia
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O’Shea DM, Maynard T, Tremont G. DNA Methylation "GrimAge" Acceleration Mediates Sex/Gender Differences in Verbal Memory and Processing Speed: Findings From the Health and Retirement Study. J Gerontol A Biol Sci Med Sci 2022; 77:2402-2412. [PMID: 35715888 PMCID: PMC9799212 DOI: 10.1093/gerona/glac133] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Indexed: 01/20/2023] Open
Abstract
Whether sex/gender differences in rates of biological aging mediate sex/gender differences in cognition in older adults has not been fully examined. The aim of the current study was to investigate this association. Data from up to 1 928 participants (mean age = 75, standard deviation = 7.04, female = 57%) who took part in the 2016 Harmonized Cognitive Assessment Protocol and Venous Blood Study; substudies of the Health and Retirement Study were included in the current study. The residuals from 4 age-adjusted epigenetic clocks (Horvath, Hannum, PhenoAge, and GrimAge) were used to measure biological age acceleration. Sex/gender differences in cognition were tested using a series of analyses of covariance. Mediation analyses tested whether the measures of age acceleration accounted for these sex/gender differences, controlling for age, education, smoking status, and white blood cell count. Women outperformed men on measures of verbal learning, verbal memory, visual scanning, and processing speed. No other significant sex/gender differences were identified. Results from mediation analyses revealed that women's slower rates of GrimAge fully accounted for their faster processing speeds and partially accounted for their better performances on verbal learning, verbal memory, and visual scanning measures. None of the other measures of age acceleration were significant mediators. Accounting for sex/gender differences in biological aging may differentiate between cognitive sex/gender differences that are driven by universal (ie, age-related) versus sex-specific mechanisms. More broadly, these findings support the growing evidence that the GrimAge clock outperforms other clocks in predicting cognitive outcomes.
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Affiliation(s)
- Deirdre M O’Shea
- Address correspondence to: Deirdre M. O’Shea, PhD, Department of Psychiatry & Human Behavior, Warren Alpert Medical School, Brown University, 593 Eddy Street Building, 7th Floor, Providence, RI 02903, USA. E-mail:
| | | | - Geoffrey Tremont
- Department of Psychiatry & Human Behavior, Warren Alpert Medical School, Brown University, Providence, Rhode Island,USA,Rhode Island Hospital, Providence, Rhode Island, USA
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8
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Noren Hooten N, Pacheco NL, Smith JT, Evans MK. The accelerated aging phenotype: The role of race and social determinants of health on aging. Ageing Res Rev 2022; 73:101536. [PMID: 34883202 PMCID: PMC10862389 DOI: 10.1016/j.arr.2021.101536] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 11/12/2021] [Accepted: 12/03/2021] [Indexed: 02/06/2023]
Abstract
The pursuit to discover the fundamental biology and mechanisms of aging within the context of the physical and social environment is critical to designing interventions to prevent and treat its complex phenotypes. Aging research is critically linked to understanding health disparities because these inequities shape minority aging, which may proceed on a different trajectory than the overall population. Health disparities are characteristically seen in commonly occurring age-associated diseases such as cardiovascular and cerebrovascular disease as well as diabetes mellitus and cancer. The early appearance and increased severity of age-associated disease among African American and low socioeconomic status (SES) individuals suggests that the factors contributing to the emergence of health disparities may also induce a phenotype of 'premature aging' or 'accelerated aging' or 'weathering'. In marginalized and low SES populations with high rates of early onset age-associated disease the interaction of biologic, psychosocial, socioeconomic and environmental factors may result in a phenotype of accelerated aging biologically similar to premature aging syndromes with increased susceptibility to oxidative stress, premature accumulation of oxidative DNA damage, defects in DNA repair and higher levels of biomarkers of oxidative stress and inflammation. Health disparities, therefore, may be the end product of this complex interaction in populations at high risk. This review will examine the factors that drive both health disparities and the accelerated aging phenotype that ultimately contributes to premature mortality.
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Affiliation(s)
- Nicole Noren Hooten
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD 21224, USA
| | - Natasha L Pacheco
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD 21224, USA
| | - Jessica T Smith
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD 21224, USA
| | - Michele K Evans
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD 21224, USA.
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9
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Shiau S, Arpadi SM, Shen Y, Cantos A, Ramon CV, Shah J, Jang G, Manly JJ, Brickman AM, Baccarelli AA, Yin MT. Epigenetic Aging Biomarkers Associated With Cognitive Impairment in Older African American Adults With Human Immunodeficiency Virus (HIV). Clin Infect Dis 2021; 73:1982-1991. [PMID: 34143869 PMCID: PMC8664485 DOI: 10.1093/cid/ciab563] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Accelerated epigenetic aging using DNA methylation (DNAm)-based biomarkers has been reported in people with human immunodeficiency virus (HIV, PWH), but limited data are available among African Americans (AA), women, and older PWH. METHODS DNAm was measured using Illumina EPIC Arrays for 107 (69 PWH and 38 HIV-seronegative controls) AA adults ≥60 years in New York City. Six DNAm-based biomarkers of aging were estimated: (1) epigenetic age acceleration (EAA), (2) extrinsic epigenetic age acceleration (EEAA), (3) intrinsic epigenetic age acceleration (IEAA), (4) GrimAge, (5) PhenoAge, and (6) DNAm-estimated telomere length (DNAm-TL). The National Institutes of Health (NIH) Toolbox Cognition Battery (domains: executive function, attention, working memory, processing speed, and language) and Montreal Cognitive Assessment (MoCA) were administered. Participants were assessed for frailty by the Fried criteria. RESULTS The PWH and control groups did not differ by sex, chronological age, or ethnicity. In total, 83% of PWH had a viral load <50 copies/mL, and 94% had a recent CD4 ≥200 cells/µL. The PWH group had a higher EAA, EEAA, GrimAge, and PhenoAge, and a lower DNAm-TL compared to the controls. IEAA was not different between groups. For PWH, there were significant negative correlations between IEAA and executive function, attention, and working memory and PhenoAge and attention. No associations between biomarkers and frailty were detected. CONCLUSIONS Evidence of epigenetic age acceleration was observed in AA older PWH using DNAm-based biomarkers of aging. There was no evidence of age acceleration independent of cell type National Institutes of Health composition (IEAA) associated with HIV, but this measure was associated with decreased cognitive function among PWH.
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Affiliation(s)
- Stephanie Shiau
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey, USA
| | - Stephen M Arpadi
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
- Department of Pediatrics, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
- ICAP at Columbia, Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York, USA
| | - Yanhan Shen
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
| | - Anyelina Cantos
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
| | - Christian Vivar Ramon
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
| | - Jayesh Shah
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
| | - Grace Jang
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
| | - Jennifer J Manly
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
- Taub Institute for Research in Alzheimer’s Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA
- Department of Neurology, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
| | - Adam M Brickman
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
- Taub Institute for Research in Alzheimer’s Disease and the Aging Brain, Columbia University Irving Medical Center, New York, New York, USA
- Department of Neurology, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York, USA
| | - Michael T Yin
- Department of Medicine, College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
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10
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Lin F, Han J, Xue T, Lin J, Chen S, Zhu C, Lin H, Chen X, Lin W, Huang H. Predicting cognitive impairment in outpatients with epilepsy using machine learning techniques. Sci Rep 2021; 11:20002. [PMID: 34625614 PMCID: PMC8501137 DOI: 10.1038/s41598-021-99506-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 09/27/2021] [Indexed: 12/04/2022] Open
Abstract
Many studies report predictions for cognitive function but there are few predictions in epileptic patients; therefore, we established a workflow to efficiently predict outcomes of both the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) in outpatients with epilepsy. Data from 441 outpatients with epilepsy were included; of these, 433 patients met the 12 clinical characteristic criteria and were divided into training (n = 304) and experimental (n = 129) groups. After descriptive statistics were analyzed, cross-validation was used to select the optimal model. The random forest (RF) algorithm was combined with the redundancy analysis (RDA) algorithm; then, optimal feature selection and resampling were carried out after removing linear redundancy information. The features that contributed more to multiple outcomes were selected. Finally, the external traceability of the model was evaluated using the follow-up data. The RF algorithm was the best prediction model for both MMSE and MoCA outcomes. Finally, seven markers were screened by overlapping the top ten important features for MMSE ranked by RF modeling, those ranked for MoCA ranked by RF modeling, and those for both assessments ranked by RDA. The optimal combination of features were namely, sex, age, age of onset, seizure frequency, brain MRI abnormalities, epileptiform discharge in EEG and usage of drugs. which was the most efficient in predicting outcomes of MMSE, MoCA, and both assessments.
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Affiliation(s)
- Feng Lin
- Department of Neurology, Fujian Medical University Union Hospital, Fujian, People's Republic of China
| | - Jiarui Han
- BaoFeng Key Laboratory of Genetics and Metabolism, Beijing, People's Republic of China
| | - Teng Xue
- Zhongguancun Biological and Medical Big Data Center, Beijing, People's Republic of China
| | - Jilan Lin
- Department of Neurology, Fujian Medical University Union Hospital, Fujian, People's Republic of China
| | - Shenggen Chen
- Department of Neurology, Fujian Medical University Union Hospital, Fujian, People's Republic of China
| | - Chaofeng Zhu
- Department of Neurology, Fujian Medical University Union Hospital, Fujian, People's Republic of China
| | - Han Lin
- Department of Neurology, Fujian Medical University Union Hospital, Fujian, People's Republic of China
| | - Xianyang Chen
- BaoFeng Key Laboratory of Genetics and Metabolism, Beijing, People's Republic of China
| | - Wanhui Lin
- Department of Neurology, Fujian Medical University Union Hospital, Fujian, People's Republic of China.
| | - Huapin Huang
- Department of Neurology, Fujian Medical University Union Hospital, Fujian, People's Republic of China.
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11
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Shadyab AH, McEvoy LK, Horvath S, Whitsel EA, Rapp SR, Espeland MA, Resnick SM, Manson JE, Chen JC, Chen BH, Li W, Hayden KM, Bao W, Kusters CDJ, LaCroix AZ. Association of Epigenetic Age Acceleration with Incident Mild Cognitive Impairment and Dementia Among Older Women. J Gerontol A Biol Sci Med Sci 2021; 77:1239-1244. [PMID: 34417803 PMCID: PMC9159659 DOI: 10.1093/gerona/glab245] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Epigenetic age acceleration (AgeAccel), which indicates faster biological aging relative to chronological age, has been associated with lower cognitive function. However, the association of AgeAccel with mild cognitive impairment (MCI) or dementia is not well-understood. We examined associations of four AgeAccel measures with incident MCI and dementia. METHODS This prospective analysis included 578 older women from the Women's Health Initiative Memory Study selected for a case-cohort study of coronary heart disease (CHD). Women were free of CHD and cognitive impairment at baseline. Associations of AgeAccel measures (intrinsic AgeAccel [IEAA], extrinsic AgeAccel [EEAA], AgeAccelPheno, and AgeAccelGrim) with risks for incident adjudicated diagnoses of MCI and dementia overall and stratified by incident CHD status were evaluated. RESULTS IEAA was not significantly associated with MCI (HR 1.23; 95% CI 0.99-1.53), dementia (HR 1.10; 95% CI 0.88-1.38), or cognitive impairment (HR 1.18; 95% CI 0.99-1.40). In stratified analysis by incident CHD status, there was a 39% (HR 1.39; 95% CI 1.07-1.81) significantly higher risk of MCI for every 5-year increase in IEAA among women who developed CHD during follow-up. Other AgeAccel measures were not significantly associated with MCI or dementia. CONCLUSION IEAA was not significantly associated with cognitive impairment overall but was associated with impairment among women who developed CHD. Larger studies designed to examine associations of AgeAccel with cognitive impairment are needed, including exploration of whether associations are stronger in the setting of underlying vascular pathologies.
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Affiliation(s)
- Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Linda K McEvoy
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA.,Department of Radiology, University of California, San Diego, School of Medicine, La Jolla, CA, USA
| | - Steve Horvath
- Department of Human Genetics, University of California, Los Angeles, CA, USA
| | - Eric A Whitsel
- Departments of Epidemiology and Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Stephen R Rapp
- Department of Psychiatry and Behavioral Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Mark A Espeland
- Division of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Jiu-Chiuan Chen
- Departments of Preventive Medicine and Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Brian H Chen
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Wenjun Li
- Department of Public Health, University of Massachusetts, Lowell, MA, USA
| | - Kathleen M Hayden
- Departments of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Wei Bao
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA
| | - Cynthia D J Kusters
- Department of Human Genetics, University of California, Los Angeles, CA, USA
| | - Andrea Z LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
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12
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Crimmins EM, Thyagarajan B, Levine ME, Weir DR, Faul J. Associations of Age, Sex, Race/Ethnicity, and Education With 13 Epigenetic Clocks in a Nationally Representative U.S. Sample: The Health and Retirement Study. J Gerontol A Biol Sci Med Sci 2021; 76:1117-1123. [PMID: 33453106 PMCID: PMC8140049 DOI: 10.1093/gerona/glab016] [Citation(s) in RCA: 88] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Many DNA methylation-based indicators have been developed as summary measures of epigenetic aging. We examine the associations between 13 epigenetic clocks, including 4 second generation clocks, as well as the links of the clocks to social, demographic, and behavioral factors known to be related to health outcomes: sex, race/ethnicity, socioeconomic status, obesity, and lifetime smoking pack-years. METHODS The Health and Retirement Study is the data source which is a nationally representative sample of Americans over age 50. Assessment of DNA methylation was based on the EPIC chip and epigenetic clocks were developed based on existing literature. RESULTS The clocks vary in the strength of their relationships with age, with each other and with independent variables. Second generation clocks trained on health-related characteristics tend to relate more strongly to the sociodemographic and health behaviors known to be associated with health outcomes in this age group. CONCLUSIONS Users of this publicly available data set should be aware that epigenetic clocks vary in their relationships to age and to variables known to be related to the process of health change with age.
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Affiliation(s)
- Eileen M Crimmins
- Davis School of Gerontology, University of Southern California, Los Angeles, USA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, USA
| | - Morgan E Levine
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA
| | - David R Weir
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, USA
| | - Jessica Faul
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, USA
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13
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Marx W, Lane M, Hockey M, Aslam H, Berk M, Walder K, Borsini A, Firth J, Pariante CM, Berding K, Cryan JF, Clarke G, Craig JM, Su KP, Mischoulon D, Gomez-Pinilla F, Foster JA, Cani PD, Thuret S, Staudacher HM, Sánchez-Villegas A, Arshad H, Akbaraly T, O'Neil A, Segasby T, Jacka FN. Diet and depression: exploring the biological mechanisms of action. Mol Psychiatry 2021; 26:134-150. [PMID: 33144709 DOI: 10.1038/s41380-020-00925-x] [Citation(s) in RCA: 256] [Impact Index Per Article: 85.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 10/01/2020] [Accepted: 10/09/2020] [Indexed: 02/08/2023]
Abstract
The field of nutritional psychiatry has generated observational and efficacy data supporting a role for healthy dietary patterns in depression onset and symptom management. To guide future clinical trials and targeted dietary therapies, this review provides an overview of what is currently known regarding underlying mechanisms of action by which diet may influence mental and brain health. The mechanisms of action associating diet with health outcomes are complex, multifaceted, interacting, and not restricted to any one biological pathway. Numerous pathways were identified through which diet could plausibly affect mental health. These include modulation of pathways involved in inflammation, oxidative stress, epigenetics, mitochondrial dysfunction, the gut microbiota, tryptophan-kynurenine metabolism, the HPA axis, neurogenesis and BDNF, epigenetics, and obesity. However, the nascent nature of the nutritional psychiatry field to date means that the existing literature identified in this review is largely comprised of preclinical animal studies. To fully identify and elucidate complex mechanisms of action, intervention studies that assess markers related to these pathways within clinically diagnosed human populations are needed.
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Affiliation(s)
- Wolfgang Marx
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, Geelong, VIC, Australia.
| | - Melissa Lane
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, Geelong, VIC, Australia
| | - Meghan Hockey
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, Geelong, VIC, Australia
| | - Hajara Aslam
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, Geelong, VIC, Australia
| | - Michael Berk
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, Geelong, VIC, Australia
- Orygen, The National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health, Melbourne, VIC, Australia
- Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - Ken Walder
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Metabolic Research Unit, Geelong, VIC, Australia
| | - Alessandra Borsini
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Joseph Firth
- Division of Psychology and Mental Health, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- NICM Health Research Institute, Western Sydney University, Westmead, NSW, Australia
| | - Carmine M Pariante
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Kirsten Berding
- APC Microbiome Ireland, University College Cork, Cork, Ireland
| | - John F Cryan
- APC Microbiome Ireland, University College Cork, Cork, Ireland
- Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland
| | - Gerard Clarke
- APC Microbiome Ireland, University College Cork, Cork, Ireland
- Department of Psychiatry and Neurobehavioural Science, University College Cork, Cork, Ireland
- INFANT Research Centre, University College Cork, Cork, Ireland
| | - Jeffrey M Craig
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Geelong, VIC, Australia
| | - Kuan-Pin Su
- Departments of Psychiatry and Mind-Body Interface Laboratory (MBI-Lab), China Medical University Hospital, Taichung, Taiwan
- An-Nan Hospital, China Medical University, Tainan, Taiwan
- College of Medicine, China Medical University, Taichung, Taiwan
| | - David Mischoulon
- Department of Psychiatry, Depression Clinical and Research Program, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Fernando Gomez-Pinilla
- Departments of Neurosurgery and Integrative Biology and Physiology, University of California Los Angeles, Los Angeles, CA, USA
| | - Jane A Foster
- Department of Psychiatry & Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Patrice D Cani
- UCLouvain, Université catholique de Louvain, WELBIO-Walloon Excellence in Life Sciences and BIOtechnology, Louvain Drug Research Institute, Metabolism and Nutrition Research Group, Brussels, Belgium
| | - Sandrine Thuret
- Basic and Clinical Neuroscience Department, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Heidi M Staudacher
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, Geelong, VIC, Australia
| | - Almudena Sánchez-Villegas
- Nutrition Research Group, Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Gran Canaria, Spain
- Biomedical Research Center Network on Obesity and Nutrition (CIBERobn) Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Madrid, Spain
| | - Husnain Arshad
- Université Paris-Saclay, UVSQ, Inserm, CESP, "DevPsy", 94807, Villejuif, France
| | - Tasnime Akbaraly
- Université Paris-Saclay, UVSQ, Inserm, CESP, "DevPsy", 94807, Villejuif, France
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Adrienne O'Neil
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, Geelong, VIC, Australia
| | - Toby Segasby
- Basic and Clinical Neuroscience Department, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Felice N Jacka
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Food & Mood Centre, Geelong, VIC, Australia
- Centre for Adolescent Health, Murdoch Children's Research Institute, Melbourne, VIC, Australia
- Black Dog Institute, Randwick, NSW, Australia
- James Cook University, Townsville, QLD, Australia
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14
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Forrester SN, Taylor JL, Whitfield KE, Thorpe RJ. Advances in Understanding the Causes and Consequences of Health Disparities in Aging Minorities. CURR EPIDEMIOL REP 2020; 7:59-67. [PMID: 33868898 PMCID: PMC8045783 DOI: 10.1007/s40471-020-00234-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
PURPOSE OF REVIEW The purpose was to discuss appropriate methods for advancing our understanding of health disparities or minority aging including life-course perspectives, biological measures, pain measurement, and generational approaches. RECENT FINDINGS Life course perspectives provide an orientation for studying older minorities that concomitantly captures exposures and stressors that may lead to earlier onset of disease and premature mortality. The use of biological markers to study health disparities in older minorities is necessary in order to identify pathways between psychosocial factors and health outcomes. Work focusing on pain disparities should include explorations of relationships between psychosocial factors, and subjective and objective measures of pain. Studying families can provide insight into genetic associations and coping styles in older minorities. SUMMARY Methodological approaches that take life course, biology, and social factors into account may help identify causal pathways between social determinants of health and health outcomes among older minorities. Once these causal pathways have been identified, more strategies and interventions that strive toward health equity across older adults of all race/ethnic groups can be developed.
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Affiliation(s)
- Sarah N Forrester
- Division of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School
| | | | | | - Roland J Thorpe
- Program for Research on Men's Health, Johns Hopkins Bloomberg School of Public Health
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15
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Tang R, Howe LD, Suderman M, Relton CL, Crawford AA, Houtepen LC. Adverse childhood experiences, DNA methylation age acceleration, and cortisol in UK children: a prospective population-based cohort study. Clin Epigenetics 2020; 12:55. [PMID: 32264940 PMCID: PMC7137290 DOI: 10.1186/s13148-020-00844-2] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Accepted: 03/26/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Epigenetic mechanisms may partly explain the persistent effects of adverse childhood experiences (ACEs) on health outcomes in later life. DNA methylation can predict chronological age, and advanced methylation-predicted age beyond chronological age (DNA methylation age acceleration) is associated with ACEs, adverse mental and physical health, and elevated diurnal and baseline salivary cortisol. Childhood adversity is also associated with dysregulation of the hypothalamic-pituitary-adrenal axis, which produces the neuroendocrine hormone cortisol. It remains unknown whether these associations are specific to certain types of adversity. Herein, we investigate the associations of ACEs with DNA methylation age acceleration and plasma cortisol in the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort. METHODS In this study of the children in ALSPAC, we used multiple linear regression to examine associations of cumulative exposure to ACE, as well as exposure to ten individual types of ACEs, with Horvath-estimated DNA methylation age acceleration and with baseline plasma cortisol. The ten ACEs were those included in the World Health Organization's ACE International Questionnaire. Data on ACEs were prospectively collected from age 0-14 years. DNA methylation age acceleration and plasma cortisol were measured at mean 17.1 years and 15.5 years, respectively. RESULTS We included 974 UK children in the present study. Exposure to four or more ACEs compared to zero was associated with DNA methylation age acceleration in girls (β, 95% CI = 1.65, 0.25 to 3.04 years) but not in boys (β, 95% CI = - 0.11, - 1.48 to 1.26 years). Also, in girls, emotional abuse and physical abuse were each associated with DNA methylation age acceleration (β, 95% CI = 1.20, 0.15 to 2.26 years and β, 95% CI = 1.22, 0.06 to 2.38 years, respectively). No other ACEs were associated with accelerated DNA methylation age in either sex. Associations were also null between ACE and cortisol, and cortisol and DNA methylation age acceleration. CONCLUSIONS In this prospective population-based study of UK children, cumulative ACE exposure, emotional abuse, and physical abuse between age 0 and 14 years were each associated with Horvath-estimated DNA methylation age acceleration at age 17 years in girls but not in boys.
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Affiliation(s)
- Rosalind Tang
- Bristol Medical School, Faculty of Health Sciences, University of Bristol, 5 Tyndall Avenue, Bristol, BS8 1UD, UK. .,Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, Canada.
| | - Laura D Howe
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Matthew Suderman
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Andrew A Crawford
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,BHF Centre for Cardiovascular Science, The Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Lotte C Houtepen
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
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16
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Levine ME. Assessment of Epigenetic Clocks as Biomarkers of Aging in Basic and Population Research. J Gerontol A Biol Sci Med Sci 2020; 75:463-465. [PMID: 31995162 PMCID: PMC7328198 DOI: 10.1093/gerona/glaa021] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Indexed: 12/16/2022] Open
Affiliation(s)
- Morgan E Levine
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut
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