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Mak JKL, Kuja-Halkola R, Bai G, Hassing LB, Pedersen NL, Hägg S, Jylhävä J, Reynolds CA. Genetic and Environmental Influences on Longitudinal Frailty Trajectories From Adulthood into Old Age. J Gerontol A Biol Sci Med Sci 2023; 78:333-341. [PMID: 36124734 PMCID: PMC9951061 DOI: 10.1093/gerona/glac197] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Frailty is a complex, dynamic geriatric condition, but limited evidence has shown how genes and environment may contribute to its longitudinal changes. We sought to investigate sources of individual differences in the longitudinal trajectories of frailty, considering potential selection bias when including a sample of oldest-old twins. METHODS Data were from 2 Swedish twin cohort studies: a younger cohort comprising 1 842 adults aged 29-96 years followed up to 15 waves, and an older cohort comprising 654 adults aged ≥79 years followed up to 5 waves. Frailty was measured using the frailty index (FI). Age-based latent growth curve models were used to examine longitudinal trajectories, and extended to a biometric analysis to decompose variability into genetic and environmental etiologies. RESULTS A bilinear model with an inflection point at age 75 best described the data, indicating a fourfold to fivefold faster FI increase after 75 years. Twins from the older cohort had significantly higher mean FI at baseline but slower rate of increase afterward. FI level at age 75 was moderately heritable in both men (42%) and women (55%). Genetic influences were relatively stable across age for men and increasing for women, although the most salient amplification in FI variability after age 75 was due to individual-specific environmental influences for both men and women; conclusions were largely consistent when excluding the older cohort. CONCLUSION Increased heterogeneity of frailty in late life is mainly attributable to environmental influences, highlighting the importance of targeting environmental risk factors to mitigate frailty in older adults.
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Affiliation(s)
- Jonathan K L Mak
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ralf Kuja-Halkola
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ge Bai
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Linda B Hassing
- Department of Psychology, University of Gothenburg, Gothenburg, Sweden.,Centre for Ageing and Health, University of Gothenburg, Gothenburg, Sweden
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sara Hägg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Juulia Jylhävä
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), University of Tampere, Tampere, Finland
| | - Chandra A Reynolds
- Department of Psychology, University of California, Riverside, California, USA
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2
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Franz CE, Gustavson DE, Elman JA, Fennema-Notestine C, Hagler DJ, Baraff A, Tu XM, Wu TC, DeAnda J, Beck A, Kaufman JD, Whitsel N, Finch CE, Chen JC, Lyons MJ, Kremen WS. Associations Between Ambient Air Pollution and Cognitive Abilities from Midlife to Early Old Age: Modification by APOE Genotype. J Alzheimers Dis 2023; 93:193-209. [PMID: 36970897 PMCID: PMC10827529 DOI: 10.3233/jad-221054] [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] [Indexed: 05/09/2023]
Abstract
BACKGROUND Fine particulate matter (PM2.5) and nitrogen dioxide (NO2) measures of ambient air pollution are associated with accelerated age-related cognitive impairment, and Alzheimer's disease and related dementias (ADRD). OBJECTIVE We examined associations between air pollution, four cognitive factors, and the moderating role of apolipoprotein E (APOE) genotype in the understudied period of midlife. METHODS Participants were ∼1,100 men in the Vietnam Era Twin Study of Aging. Baseline cognitive assessments were from 2003 to 2007. Measures included past (1993-1999) and recent (3 years prior to baseline assessment) PM2.5 and NO2 exposure, in-person assessment of episodic memory, executive function, verbal fluency, and processing speed, and APOE genotype. Average baseline age was 56 years with a 12-year follow-up. Analyses adjusted for health and lifestyle covariates. RESULTS Performance in all cognitive domains declined from age 56 to 68. Higher PM2.5 exposures were associated with worse general verbal fluency. We found significant exposure-by-APOE genotype interactions for specific cognitive domains: PM2.5 with executive function and NO2 with episodic memory. Higher PM2.5 exposure was related to worse executive function in APOE ɛ4 carriers, but not in non-carriers. There were no associations with processing speed. CONCLUSION These results indicate negative effects of ambient air pollution exposure on fluency alongside intriguing differential modifications of cognitive performance by APOE genotype. APOE ɛ4 carriers appeared more sensitive to environmental differences. The process by which air pollution and its interaction with genetic risk for ADRD affects risk for later life cognitive decline or progression to dementia may begin in midlife.
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Affiliation(s)
- Carol E. Franz
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA
| | - Daniel E. Gustavson
- Institute for Behavior Genetics, University of Colorado Boulder, Boulder, CO
| | - Jeremy A. Elman
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA
| | - Christine Fennema-Notestine
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA
- Department of Radiology, University of California, San Diego, La Jolla, CA
| | - Donald J. Hagler
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA
- Department of Radiology, University of California, San Diego, La Jolla, CA
- Department of Neurosciences, University of California, San Diego, La Jolla, CA
| | - Aaron Baraff
- Vietnam Era Twin Registry, VA Puget Sound Health Care, Seattle, WA
| | - Xin M. Tu
- Herbert Wertheim School of Public Health & Human Longevity Science, University of California San Diego, CA
| | - Tsung-Chin Wu
- Herbert Wertheim School of Public Health & Human Longevity Science, University of California San Diego, CA
| | - Jaden DeAnda
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA
- Department of Psychology, San Diego State University, San Diego, CA
| | - Asad Beck
- Graduate Program in Neuroscience, University of Washington, Seattle, WA
| | - Joel D. Kaufman
- Epidemiology, Environmental and Occupational Health Sciences, and General Internal Medicine, University of Washington, Seattle, WA
| | - Nathan Whitsel
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA
| | - Caleb E. Finch
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA
| | - Jiu-Chiuan Chen
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA
| | - Michael J. Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, MA
| | - William S. Kremen
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA
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3
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Han SH, Noh DH, Jo EJ, Kam KY. Effects of Apolipoprotein E ɛ4 and Risk Factors on Domains of Cognition in Mild Cognitive Impairment and Dementia. J Alzheimers Dis 2022; 87:1181-1188. [PMID: 35466935 DOI: 10.3233/jad-215075] [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: 11/15/2022]
Abstract
BACKGROUND The apolipoprotein E (APOE) gene is the most potent genetic risk factor for dementia. However, there are few studies on how the APOE gene affects cognitive domain functions. OBJECTIVE This study aimed to investigate the effects of risk factors for dementia on cognitive function in patients with mild cognitive impairment and Alzheimer's disease (AD). METHODS This study included subjects whose Clinical Dementia Rating scores ranged from 0.5 to 2 and who were older than 65 years. Risk factors for dementia included the APOE ɛ4 allele, age, education period, employment period, body mass index, and exercise. APOE genotyping was performed by polymerase chain reaction, and other factors were identified using medical charts or structured checklists. Cognitive function was measured using the Seoul Neuropsychological Screening Battery II. RESULTS General cognitive function did not show a significant difference according to APOE ɛ4 status. However, the score for delayed verbal memory was lower in the APOE ɛ4-carrier group than in the non-carrier group (p < 0.05). In addition, age, education period, employment period, and exercise were correlated with different cognitive function domains in the non-carrier group (p < 0.05); however, the carrier group was showed a significant correlation between age, body mass index, and cognitive domains. CONCLUSION Our findings suggest that APOE ɛ4 significantly decreases verbal memory in patients with AD. Moreover, the effects of risk factors on cognitive function were significantly different according to the APOE ɛ4 status.
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Affiliation(s)
- Seung-Hyup Han
- Department of Occupational Therapy, Masan University, Naeseo-eup, Masanhoewon-gu, Changwon-si, Gyeongsangnam-do, Republic of Korea
| | - Dong-Hee Noh
- Policy Team, Korea Workers' Compensation and Welfare Service Headquarters, Jung-gu, Ulsan, Republic of Korea
| | - Eun-Ju Jo
- Department of Occupational Therapy, Masan University, Naeseo-eup, Masanhoewon-gu, Changwon-si, Gyeongsangnam-do, Republic of Korea
| | - Kyung-Yoon Kam
- Department of Occupational Therapy, College of Healthcare Medical Science and Engineering, Inje University, Gimhae-si, Gyeongsangnam-do, Republic of Korea
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Karlsson IK, Escott-Price V, Gatz M, Hardy J, Pedersen NL, Shoai M, Reynolds CA. Measuring heritable contributions to Alzheimer's disease: polygenic risk score analysis with twins. Brain Commun 2022; 4:fcab308. [PMID: 35169705 PMCID: PMC8833403 DOI: 10.1093/braincomms/fcab308] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 09/17/2021] [Accepted: 10/18/2021] [Indexed: 11/23/2022] Open
Abstract
The heritability of Alzheimer's disease estimated from twin studies is greater than the heritability derived from genome-based studies, for reasons that remain unclear. We apply both approaches to the same twin sample, considering both Alzheimer's disease polygenic risk scores and heritability from twin models, to provide insight into the role of measured genetic variants and to quantify uncaptured genetic risk. A population-based heritability and polygenic association study of Alzheimer's disease was conducted between 1986 and 2016 and is the first study to incorporate polygenic risk scores into biometrical twin models of Alzheimer's disease. The sample included 1586 twins drawn from the Swedish Twin Registry which were nested within 1137 twin pairs (449 complete pairs and 688 incomplete pairs) with clinically based diagnoses and registry follow-up (M age = 85.28, SD = 7.02; 44% male; 431 cases and 1155 controls). We report contributions of polygenic risk scores at P < 1 × 10-5, considering a full polygenic risk score (PRS), PRS without the APOE region (PRS.no.APOE) and PRS.no.APOE plus directly measured APOE alleles. Biometric twin models estimated the contribution of environmental influences and measured (PRS) and unmeasured genes to Alzheimer's disease risk. The full PRS and PRS.no.APOE contributed 10.1 and 2.4% to Alzheimer's disease risk, respectively. When APOE ɛ4 alleles were added to the model with the PRS.no.APOE, the total contribution was 11.4% to Alzheimer's disease risk, where APOE ɛ4 explained 9.3% and PRS.no.APOE dropped from 2.4 to 2.1%. The total genetic contribution to Alzheimer's disease risk, measured and unmeasured, was 71% while environmental influences unique to each twin accounted for 29% of the risk. The APOE region accounts for much of the measurable genetic contribution to Alzheimer's disease, with a smaller contribution from other measured polygenic influences. Importantly, substantial background genetic influences remain to be understood.
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Affiliation(s)
- Ida K. Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Aging Research Network—Jönköping (ARN-J), School of Health and 6 Welfare, Jönköping University, Jönköping, Sweden
| | - Valentina Escott-Price
- UK Dementia Research Institute at Cardiff, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Margaret Gatz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - John Hardy
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, UK
- UK Dementia Research Institute at UCL and Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, UK
- Reta Lila Weston Institute, UCL Queen Square Institute of Neurology, 1 Wakefield Street, London WC1N 1PJ, UK
- UCL Movement Disorders Centre, University College London, London, UK
- Institute for Advanced Study, The Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Nancy L. Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Maryam Shoai
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, UK
- UK Dementia Research Institute at UCL and Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, UK
| | - Chandra A. Reynolds
- Department of Psychology, University of California—Riverside, Riverside, CA, USA
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5
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Pedersen NL, Gatz M, Finch BK, Finkel D, Butler DA, Dahl Aslan A, Franz CE, Kaprio J, Lapham S, McGue M, Mosing MA, Neiderhiser J, Nygaard M, Panizzon M, Prescott CA, Reynolds CA, Sachdev P, Whitfield KE. IGEMS: The Consortium on Interplay of Genes and Environment Across Multiple Studies - An Update. Twin Res Hum Genet 2019; 22:809-816. [PMID: 31544729 PMCID: PMC7056501 DOI: 10.1017/thg.2019.76] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
The Interplay of Genes and Environment across Multiple Studies (IGEMS) is a consortium of 18 twin studies from 5 different countries (Sweden, Denmark, Finland, United States, and Australia) established to explore the nature of gene-environment (GE) interplay in functioning across the adult lifespan. Fifteen of the studies are longitudinal, with follow-up as long as 59 years after baseline. The combined data from over 76,000 participants aged 14-103 at intake (including over 10,000 monozygotic and over 17,000 dizygotic twin pairs) support two primary research emphases: (1) investigation of models of GE interplay of early life adversity, and social factors at micro and macro environmental levels and with diverse outcomes, including mortality, physical functioning and psychological functioning; and (2) improved understanding of risk and protective factors for dementia by incorporating unmeasured and measured genetic factors with a wide range of exposures measured in young adulthood, midlife and later life.
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Affiliation(s)
- Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Margaret Gatz
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Brian K Finch
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Deborah Finkel
- Department of Psychology, Indiana University Southeast, New Albany, IN, USA
| | - David A Butler
- Office of Military and Veterans Health, Health and Medicine Division, The National Academies of Sciences, Engineering, and Medicine, Washington, DC, USA
| | - Anna Dahl Aslan
- Institute of Gerontology and Aging Research Network - Jönköping (ARN-J), School of Health and Welfare, Jönköping University, Jönköping, Sweden
| | - Carol E Franz
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Jaakko Kaprio
- Department of Public Health, Faculty of Medicine & Institute for Molecular Medicine FIMM, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Susan Lapham
- Research and Evaluation, American Institutes for Research, Washington, DC, USA
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
- Department of Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, Odense, Denmark
| | - Miriam A Mosing
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jenae Neiderhiser
- Department of Psychology, Penn State University, University Park, PA, USA
| | - Marianne Nygaard
- The Danish Twin Registry, University of Southern Denmark, Odense C, Denmark
| | - Matthew Panizzon
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Carol A Prescott
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Chandra A Reynolds
- Department of Psychology, University of California - Riverside, Riverside, CA, USA
| | - Perminder Sachdev
- Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, New South Wales, Australia
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6
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Hasan A, Afzal M. Gene and environment interplay in cognition: Evidence from twin and molecular studies, future directions and suggestions for effective candidate gene x environment (cGxE) research. Mult Scler Relat Disord 2019; 33:121-130. [PMID: 31185373 DOI: 10.1016/j.msard.2019.05.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Revised: 04/20/2019] [Accepted: 05/13/2019] [Indexed: 12/17/2022]
Abstract
Last decade of molecular research in the field of cognitive science has shown that no single approach can give satisfactory results as far as gene hunt is concerned. Cohesive theory of gene-environment interaction seems to be a rational idea for bridging the gap in our knowledge of disorders involving cognitive deficit. It may even be helpful to some extent in resolving issues of missing heritability. We review the current state of play in the area of cognition at genetic and environmental fronts. Evidence of apparent gene-environment (GxE) interactions from various studies has been mentioned with the aim of redirecting the focus of research community towards studying such interactions with the help of sensitive designs and molecular techniques. We re-evaluate candidate gene-environment research in order to emphasize its potential if carried out strategically.
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Affiliation(s)
- Anam Hasan
- Human Genetics and Toxicology Laboratory, Section of Genetics, Department of Zoology, Faculty of Life Sciences, Aligarh Muslim University, Aligarh 202002, Uttar Pradesh, India
| | - Mohammad Afzal
- Human Genetics and Toxicology Laboratory, Section of Genetics, Department of Zoology, Faculty of Life Sciences, Aligarh Muslim University, Aligarh 202002, Uttar Pradesh, India.
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Lehto K, Karlsson I, Lundholm C, Pedersen NL. Genetic risk for neuroticism predicts emotional health depending on childhood adversity. Psychol Med 2019; 49:260-267. [PMID: 29576022 DOI: 10.1017/s0033291718000715] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Existing evidence for gene × environment interaction (G × E) in neuroticism largely relies on candidate gene studies, although neuroticism is highly polygenic. This study aimed to investigate the long-term associations between polygenic risk scores for neuroticism (PRSN), objective childhood adversity and their interplay on emotional health aspects such as neuroticism itself, depressive symptoms, anxiety symptoms, loneliness and life satisfaction. METHODS The sample consisted of reared-apart (TRA) and reared-together (TRT) middle- and old age twins (N = 699; median age at separation = 2). PRSN were created under nine p value cut-off thresholds (pT-s) and the pT with the highest degree of neuroticism variance explained was chosen for subsequent analyses. Linear regressions were used to assess the associations between PRSN, childhood adversity (being reared apart) and emotional health. G × E was further investigated using a discordant twin design. RESULTS PRSN explained up to 1.7% (pT < 0.01) of phenotypic neuroticism in the total sample. Analyses across two separation groups revealed substantial heterogeneity in the variance explained by PRSN; 4.3% was explained in TRT, but almost no effect was observed in TRA. Similarly, PRSN explained 4% and 1.7% of the variance in depressive symptoms and loneliness, respectively, only in TRT. A significant G × E interaction was identified for depressive symptoms. CONCLUSIONS By taking advantage of a unique sample of adopted twins, we demonstrated the presence of G × E in neuroticism and emotional health using PRSN and childhood adversity. Our results may indicate that genome-wide association studies are detecting genetic main effects associated with neuroticism, but not those susceptible to early environmental influences.
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Affiliation(s)
- Kelli Lehto
- Department of Medical Epidemiology and Biostatistics,Karolinska Institutet,Nobels väg 12A,171 77,Stockholm,Sweden
| | - Ida Karlsson
- Department of Medical Epidemiology and Biostatistics,Karolinska Institutet,Nobels väg 12A,171 77,Stockholm,Sweden
| | - Cecilia Lundholm
- Department of Medical Epidemiology and Biostatistics,Karolinska Institutet,Nobels väg 12A,171 77,Stockholm,Sweden
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics,Karolinska Institutet,Nobels väg 12A,171 77,Stockholm,Sweden
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Crook Z, Booth T, Cox SR, Corley J, Dykiert D, Redmond P, Pattie A, Taylor AM, Harris SE, Starr JM, Deary IJ. Apolipoprotein E genotype does not moderate the associations of depressive symptoms, neuroticism and allostatic load with cognitive ability and cognitive aging in the Lothian Birth Cohort 1936. PLoS One 2018; 13:e0192604. [PMID: 29451880 PMCID: PMC5815580 DOI: 10.1371/journal.pone.0192604] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2017] [Accepted: 01/28/2018] [Indexed: 01/25/2023] Open
Abstract
OBJECTIVES In this replication-and-extension study, we tested whether depressive symptoms, neuroticism, and allostatic load (multisystem physiological dysregulation) were related to lower baseline cognitive ability and greater subsequent cognitive decline in older adults, and whether these relationships were moderated by the E4 allele of the apolipoprotein E (APOE) gene. We also tested whether allostatic load mediated the relationships between neuroticism and cognitive outcomes. METHODS We used data from the Lothian Birth Cohort 1936 (n at Waves 1-3: 1,028 [M age = 69.5 y]; 820 [M duration since Wave 1 = 2.98 y]; 659 [M duration since Wave 1 = 6.74 y]). We fitted latent growth curve models of general cognitive ability (modeled using five cognitive tests) with groups of APOE E4 non-carriers and carriers. In separate models, depressive symptoms, neuroticism, and allostatic load predicted baseline cognitive ability and subsequent cognitive decline. In addition, models tested whether allostatic load mediated relationships between neuroticism and cognitive outcomes. RESULTS Baseline cognitive ability had small-to-moderate negative associations with depressive symptoms (β range = -0.20 to -0.17), neuroticism (β range = -0.27 to -0.23), and allostatic load (β range = -0.11 to 0.09). Greater cognitive decline was linked to baseline allostatic load (β range = -0.98 to -0.83) and depressive symptoms (β range = -1.00 to -0.88). However, APOE E4 allele possession did not moderate the relationships of depressive symptoms, neuroticism and allostatic load with cognitive ability and cognitive decline. Additionally, the associations of neuroticism with cognitive ability and cognitive decline were not mediated through allostatic load. CONCLUSIONS Our results suggest that APOE E4 status does not moderate the relationships of depressive symptoms, neuroticism, and allostatic load with cognitive ability and cognitive decline in healthy older adults. The most notable positive finding in the current research was the strong association between allostatic load and cognitive decline.
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Affiliation(s)
- Zander Crook
- Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Tom Booth
- Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Simon R. Cox
- Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Janie Corley
- Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Dominika Dykiert
- Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Paul Redmond
- Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Alison Pattie
- Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Adele M. Taylor
- Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Sarah E. Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, Medical Research Council Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, United Kingdom
| | - John M. Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom
- Alzheimer Scotland Dementia Research Centre, Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom
| | - Ian J. Deary
- Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, The University of Edinburgh, Edinburgh, United Kingdom
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Calderón-Garcidueñas L, de la Monte SM. Apolipoprotein E4, Gender, Body Mass Index, Inflammation, Insulin Resistance, and Air Pollution Interactions: Recipe for Alzheimer's Disease Development in Mexico City Young Females. J Alzheimers Dis 2017; 58:613-630. [PMID: 28527212 PMCID: PMC9996388 DOI: 10.3233/jad-161299] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Given the epidemiological trends of increasing Alzheimer's disease (AD) and growing evidence that exposure and lifestyle factors contribute to AD risk and pathogenesis, attention should be paid to variables such as air pollution, in order to reduce rates of cognitive decline and dementia. Exposure to fine particulate matter (PM2.5) and ozone (O3) above the US EPA standards is associated with AD risk. Mexico City children experienced pre- and postnatal high exposures to PM2.5, O3, combustion-derived iron-rich nanoparticles, metals, polycyclic aromatic hydrocarbons, and endotoxins. Exposures are associated with early brain gene imbalance in oxidative stress, inflammation, innate and adaptive immune responses, along with epigenetic changes, accumulation of misfolded proteins, cognitive deficits, and brain structural and metabolic changes. The Apolipoprotein E (APOE) 4 allele, the most prevalent genetic risk for AD, plays a key role in the response to air pollution in young girls. APOE 4 heterozygous females with >75% to <94% BMI percentiles are at the highest risk of severe cognitive deficits (1.5-2 SD from average IQ). This review focused on the relationships between gender, BMI, systemic and neural inflammation, insulin resistance, hyperleptinemia, dyslipidemia, vascular risk factors, and central nervous system involvement in APOE4 urbanites exposed to PM2.5 and magnetite combustion-derived iron-rich nanoparticles that can reach the brain. APOE4 young female heterozygous carriers constitute a high-risk group for a fatal disease: AD. Multidisciplinary intervention strategies could be critical for prevention or amelioration of cognitive deficits and long-term AD progression in young individuals at high risk.
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10
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Calderón-Garcidueñas L, Jewells V, Galaz-Montoya C, van Zundert B, Pérez-Calatayud A, Ascencio-Ferrel E, Valencia-Salazar G, Sandoval-Cano M, Carlos E, Solorio E, Acuña-Ayala H, Torres-Jardón R, D'Angiulli A. Interactive and additive influences of Gender, BMI and Apolipoprotein 4 on cognition in children chronically exposed to high concentrations of PM2.5 and ozone. APOE 4 females are at highest risk in Mexico City. ENVIRONMENTAL RESEARCH 2016; 150:411-422. [PMID: 27376929 DOI: 10.1016/j.envres.2016.06.026] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2016] [Revised: 06/07/2016] [Accepted: 06/16/2016] [Indexed: 05/06/2023]
Abstract
Children's air pollution exposures are associated with systemic and brain inflammation and the early hallmarks of Alzheimer's disease (AD). The Apolipoprotein E (APOE) 4 allele is the most prevalent genetic risk for AD, with higher risk for women. We assessed whether gender, BMI, APOE and metabolic variables in healthy children with high exposures to ozone and fine particulate matter (PM2.5) influence cognition. The Wechsler Intelligence Scale for Children (WISC-R) was administered to 105 Mexico City children (12.32±5.4 years, 69 APOE 3/3 and 36 APOE 3/4). APOE 4v 3 children showed decrements on attention and short-term memory subscales, and below-average scores in Verbal, Performance and Full Scale IQ. APOE 4 females had higher BMI and females with normal BMI between 75-94% percentiles had the highest deficits in Total IQ, Performance IQ, Digit Span, Picture Arrangement, Block Design and Object Assembly. Fasting glucose was significantly higher in APOE 4 children p=0.006, while Gender was the main variable accounting for the difference in insulin, HOMA-IR and leptin (p<.05). Gender, BMI and APOE influence children's cognitive responses to air pollution and glucose is likely a key player. APOE 4 heterozygous females with >75% to <94% BMI percentiles are at the highest risk of severe cognitive deficits (1.5-2SD from average IQ). Young female results highlight the urgent need for gender-targeted health programmes to improve cognitive responses. Multidisciplinary intervention strategies could provide paths for prevention or amelioration of female air pollution targeted cognitive deficits and possible long-term AD progression.
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Affiliation(s)
| | - Valerie Jewells
- University of North Carolina, Medical School, Chapel Hill, NC, USA
| | | | - Brigitte van Zundert
- Centro de Investigaciones Biomédicas, Universidad Andrés Bello, Santiago de Chile, Chile
| | | | | | | | | | | | | | | | | | - Amedeo D'Angiulli
- Department of Neuroscience, Carleton University, Ottawa, Ontario, Canada
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