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Chen Y, Ding X, Aierken A, Chen Y, Li Y. Related risk factors for age-dependent telomere shortening change with age from the perspective of life course. Arch Gerontol Geriatr 2024; 121:105349. [PMID: 38340585 DOI: 10.1016/j.archger.2024.105349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 01/14/2024] [Accepted: 01/23/2024] [Indexed: 02/12/2024]
Abstract
BACKGROUND Many related factors can accelerate the age-dependent telomere shortening, but some problems remain unresolved. This study aimed to assess the risk factors of telomere attrition at different age stages. METHODS This study was a population-based nationally representative survey study. All data were collected using a standard methodology by the national surveillance system. Quantitative polymerase chain reaction was used to measure relative leukocyte telomere length. Multiple linear regression analysis with age stratification was used to estimate the association of shortened telomere length with risk factors at the different age stages. Covariance analysis was used to compare the telomere length of category variables, and the model was adjusted for potentially confounders. RESULTS A total of 7,659 eligible participants aged 20 years or older with DNA specimens participated in the study. Related risk factors for age-dependent telomere shortening included gender, race-ethnicity, education levels, family income, health insurance, marital status, physical activity, smoking status, alcohol use, and self-reported greatest weight, which were associated with change in telomere length at different age stages. CONCLUSIONS AND IMPLICATIONS Related risk factors of telomere attrition were changed with age in life course. The evaluation of related risk factors for telomere attrition in terms of age may be a more accurate evaluation comparison with the specific age.
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Affiliation(s)
- Yin Chen
- Department of Social Medicine, School of Public Health, Zhejiang University, China
| | - XiWen Ding
- Department of Social Medicine, School of Public Health, Zhejiang University, China
| | - Ayizuhere Aierken
- Department of Social Medicine, School of Public Health, Zhejiang University, China
| | - Yuan Chen
- Department of Social Medicine, School of Public Health, Zhejiang University, China; Zhejiang Provincial People's Hospital, China
| | - Ying Li
- Department of Social Medicine, School of Public Health, Zhejiang University, China; School of medicine, Zhejiang University, China.
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2
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Campisi M, Cannella L, Celik D, Gabelli C, Gollin D, Simoni M, Ruaro C, Fantinato E, Pavanello S. Mitigating cellular aging and enhancing cognitive functionality: visual arts-mediated Cognitive Activation Therapy in neurocognitive disorders. Front Aging Neurosci 2024; 16:1354025. [PMID: 38524114 PMCID: PMC10957554 DOI: 10.3389/fnagi.2024.1354025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 02/20/2024] [Indexed: 03/26/2024] Open
Abstract
The growing phenomenon of population aging is redefining demographic dynamics, intensifying age-related conditions, especially dementia, projected to triple by 2050 with an enormous global economic burden. This study investigates visual arts-mediated Cognitive Activation Therapy (CAT) as a non-pharmacological CAT intervention targets both biological aging [leukocyte telomere length (LTL), DNA methylation age (DNAmAge)] and cognitive functionality. Aligning with a broader trend of integrating non-pharmacological approaches into dementia care. The longitudinal study involved 20 patients with mild to moderate neurocognitive disorders. Cognitive and functional assessments, and biological aging markers -i.e., LTL and DNAmAge- were analyzed before and after CAT intervention. Change in LTL was positively correlated with days of treatment (p =0.0518). LTL significantly elongated after intervention (p =0.0269), especially in men (p =0.0142), correlating with younger age (p =0.0357), and higher education (p =0.0008). DNAmAge remained instead stable post-treatment. Cognitive and functional improvements were observed for Copy of complex geometric figure, Progressive Silhouettes, Position Discrimination, Communication Activities of Daily Living-Second edition, Direct Functional Status (p < 0.0001) and Object decision (p =0.0594), but no correlations were found between LTL and cognitive gains. Visual arts-mediated CAT effectively mitigates cellular aging, especially in men, by elongating LTL. These findings underscore the potential of non-pharmacological interventions in enhancing cognitive and functional status and general well-being in dementia care. Further research with larger and longer-term studies is essential for validation.
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Affiliation(s)
- Manuela Campisi
- Occupational Medicine, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, Padua, Italy
| | - Luana Cannella
- Occupational Medicine, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, Padua, Italy
| | - Dilek Celik
- Occupational Medicine, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, Padua, Italy
| | - Carlo Gabelli
- Regional Centre for the Aging Brain (CRIC), University Hospital of Padua, Padua, Italy
| | - Donata Gollin
- Regional Centre for the Aging Brain (CRIC), University Hospital of Padua, Padua, Italy
| | - Marco Simoni
- Regional Centre for the Aging Brain (CRIC), University Hospital of Padua, Padua, Italy
| | - Cristina Ruaro
- Regional Centre for the Aging Brain (CRIC), University Hospital of Padua, Padua, Italy
| | - Elena Fantinato
- Regional Centre for the Aging Brain (CRIC), University Hospital of Padua, Padua, Italy
| | - Sofia Pavanello
- Occupational Medicine, Department of Cardio-Thoraco-Vascular Sciences and Public Health, University of Padua, Padua, Italy
- University Hospital of Padua, Padua, Italy
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Prasad A, Lin J, Jelliffe-Pawlowski L, Coleman-Phox K, Rand L, Wojcicki JM. Sub-optimal maternal gestational gain is associated with shorter leukocyte telomere length at birth in a predominantly Latinx cohort of newborns. Matern Health Neonatol Perinatol 2023; 9:14. [PMID: 37919818 PMCID: PMC10623801 DOI: 10.1186/s40748-023-00167-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 09/20/2023] [Indexed: 11/04/2023] Open
Abstract
OBJECTIVE To assess in utero exposures associated with leukocyte telomere length (LTL) at birth and maternal LTL in a primarily Latinx birth cohort. STUDY DESIGN Mothers and newborns were recruited postnatally before 24 h of life. Newborn LTL was collected via heelstick at birth and maternal LTL was collected postnatally. LTL was determined by quantitative PCR. Using a longitudinal design, we evaluated associations between neonatal and maternal LTL and appropriate maternal gestational gain as indicated by the American College of Obstetrics and Gynecology (ACOG). RESULT Mean infant LTL was 2.02 ± 0.30 T/S (n = 386) and maternal LTL was 1.54 ± 0.26 T/S (n = 58). Independent risk factors for shorter LTL at birth included longer gestational duration (Coeff:-0.03, 95%CI: -0.05-0.01;p < 0.01) and maternal gestational weight gain below ACOG recommendations (Coeff:-0.10, 95%CI: -0.18 - -0.02; p = 0.01). CONCLUSION Gestational weight gain below ACOG recommendations may adversely impact neonatal health in Latinx infants as indicated by shorter LTL at birth.
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Affiliation(s)
- Apurva Prasad
- Division of Pediatric Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, University of California, San Francisco, USA
| | - Jue Lin
- Department of Biochemistry and Biophysics, University of California, San Francisco, USA
| | - Laura Jelliffe-Pawlowski
- Preterm Birth Initiative, University of California, San Francisco, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, USA
| | - Kimberley Coleman-Phox
- Department of Obstetrics, Gynecology and Reproductive Health Sciences, University of California, San Francisco, USA
| | - Larry Rand
- Department of Obstetrics, Gynecology and Reproductive Health Sciences, University of California, San Francisco, USA
| | - Janet M Wojcicki
- Division of Pediatric Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, University of California, San Francisco, USA.
- Department of Epidemiology and Biostatistics, University of California, San Francisco, USA.
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4
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Thompson AJ, Henrich CC. Maternal depression and child telomere length: The role of genetic sensitivity. J Affect Disord 2023; 334:77-82. [PMID: 37146910 DOI: 10.1016/j.jad.2023.04.103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 04/15/2023] [Accepted: 04/28/2023] [Indexed: 05/07/2023]
Abstract
BACKGROUND The stress of a mother's depression may increasingly tax psychobiological systems that help children with self-regulation, increasing children's allostatic load over time. Some evidence supports children exposed to maternal depression tend to have shorter telomeres and tend to have more somatic and psychological problems. Children having one or more A1 alleles of dopamine receptor 2 (DRD2, rs1800497), tend to have greater sensitivity to maternal depression and could experience more adverse child outcomes that contribute to greater allostatic load. METHODS Using the Future Families and Child Wellbeing dataset, secondary-data analyses were used to test the effect of repeated exposure to maternal depression during early childhood on children's telomere length during middle childhood moderated by children's DRD2 genotype (N = 2884). RESULTS Greater maternal depression was not significantly associated with shorter child telomere length and this association was not moderated by DRD2 genotypes while controlling for factors associated with child telomere length. IMPLICATIONS The effect of maternal depression on children's TL may not be significant in populations from diverse racial-ethnic and family backgrounds during middle childhood. These findings could help further our current understanding psychobiological systems affected by maternal depression that result in adverse child outcomes. LIMITATIONS Even though this study used a relatively large and diverse sample, replication of DRD2 moderation in even larger samples is an important next step.
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Lai KY, Webster C, Kumari S, Gallacher JEJ, Sarkar C. The associations of socioeconomic status with incident dementia and Alzheimer's disease are modified by leucocyte telomere length: a population-based cohort study. Sci Rep 2023; 13:6163. [PMID: 37061546 PMCID: PMC10105714 DOI: 10.1038/s41598-023-32974-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 04/05/2023] [Indexed: 04/17/2023] Open
Abstract
Socio-economic status (SES) and biological aging are risk factors for dementia, including Alzheimer's disease, however, it is less clear if the associations with SES vary sufficiently across different biological age strata. We used data from 331,066 UK Biobank participants aged 38-73 with mean follow-up of 12 years to examine if associations between SES (assessed by educational attainment, employment status and household income) and dementia and Alzheimer's disease are modified by biological age (assessed by leucocyte telomere length: LTL). Diagnosis of events was ascertained through hospital admissions data. Cox regressions were used to estimate hazard ratios [HRs]. A consistent dose-response relationship was found, with participants in low SES and shorter LTL strata (double-exposed group) reporting 3.28 (95% confidence interval [CI] 2.57-4.20) and 3.44 (95% CI 2.35-5.04) times higher risks of incident dementia and Alzheimer's disease respectively, compared to those of high SES and longer LTL (least-exposed group). Of interest is a synergistic interaction between SES and LTL to increase risk of dementia (RERI 0.57, 95% CI 0.07-1.06) and Alzheimer's disease (RERI 0.79, 95% CI 0.02-1.56). Our findings that SES and biological age (LTL) are synergistic risk factors of dementia and Alzheimer's disease may suggest the need to target interventions among vulnerable sub-groups.
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Affiliation(s)
- Ka Yan Lai
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China
- Department of Urban Planning and Design, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China
| | - Chris Webster
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China
- Department of Urban Planning and Design, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China
| | - Sarika Kumari
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China
| | - John E J Gallacher
- Dementias Platform UK, Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, OX3 7JX, UK
| | - Chinmoy Sarkar
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China.
- Department of Urban Planning and Design, The University of Hong Kong, Knowles Building, Pokfulam Road, Hong Kong Special Administrative Region, China.
- Dementias Platform UK, Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, OX3 7JX, UK.
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Farrukh S, Baig S, Hussain R, Imad R, Khalid M. Parental Genetics Communicate with Intrauterine Environment to Reprogram Newborn Telomeres and Immunity. Cells 2022; 11:cells11233777. [PMID: 36497039 PMCID: PMC9735452 DOI: 10.3390/cells11233777] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 11/22/2022] [Indexed: 11/29/2022] Open
Abstract
Telomeres, markers for cellular senescence, have been found substantially influenced by parental inheritance. It is well known that genomic stability is preserved by the DNA repair mechanism through telomerase. This study aimed to determine the association between parents−newborn telomere length (TL) and telomerase gene (TERT), highlighting DNA repair combined with TL/TERT polymorphism and immunosenescence of the triad. The mother−father−newborn triad blood samples (n = 312) were collected from Ziauddin Hospitals, Pakistan, between September 2021 and June 2022. The telomere length (T/S ratio) was quantified by qPCR, polymorphism was identified by Sanger sequencing, and immunosenescence by flow cytometry. The linear regression was applied to TL and gene association. The newborns had longest TL (2.51 ± 2.87) and strong positive association (R = 0.25, p ≤ 0.0001) (transgenerational health effects) with mothers’ TL (1.6 ± 2.00). Maternal demographics—socioeconomic status, education, and occupation—showed significant effects on TL of newborns (p < 0.015, 0.034, 0.04, respectively). The TERT risk genotype CC (rs2736100) was predominant in the triad (0.6, 0.5, 0.65, respectively) with a strong positive association with newborn TL (β = 2.91, <0.0011). Further analysis highlighted the expression of KLRG 1+ in T-cells with shorter TL but less frequent among newborns. The study concludes that TERT, parental TL, antenatal maternal health, and immunity have a significantly positive effect on the repair of newborn TL.
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Affiliation(s)
- Sadia Farrukh
- Department Biochemistry, Ziauddin University, Karachi 74600, Pakistan
- Correspondence: (S.F.); (S.B.)
| | - Saeeda Baig
- Department Biochemistry, Ziauddin University, Karachi 74600, Pakistan
- Correspondence: (S.F.); (S.B.)
| | - Rubina Hussain
- Department Gynecology and Obstetrics, Ziauddin University, Karachi 74600, Pakistan
| | - Rehan Imad
- Department Molecular Medicine, Ziauddin University, Karachi 74600, Pakistan
| | - Maria Khalid
- Department Gynecology and Obstetrics, Ziauddin University, Karachi 74600, Pakistan
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Carroll JE, Price JE, Brown J, Bamishigbin O, Shalowitz MU, Ramey S, Dunkel Schetter C. Lifetime discrimination in low to middle income mothers and cellular aging: A prospective analysis. Soc Sci Med 2022; 311:115356. [PMID: 36122526 PMCID: PMC10024938 DOI: 10.1016/j.socscimed.2022.115356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 08/15/2022] [Accepted: 09/03/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND Experiences of discrimination on the basis of race, ethnicity, and other characteristics are associated with adverse health outcomes, including elevated rates of morbidity in later life and earlier mortality. Acceleration of biological aging is a plausible pathway linking discrimination to disease risk. The objective of this study was to examine the relationship of self-reported lifetime and everyday discrimination to women's telomere length several years after birth of a child in a longitudinal cohort study. METHODS The Community Child Health Network (CCHN) conducted a community-based participatory research project focused on racial, ethnic, and socioeconomic disparities in maternal and child health. Data for the current substudy are from a longitudinal cohort study in 3 of the 5 project sites. This multi-site community-based longitudinal study was conducted in Lake County, IL north of Chicago, Washington, D.C., and rural North Carolina. Participants were low to middle-income mothers (N = 103) with a primary identity of Hispanic/Latina, Black, or non-Hispanic White who rated their experience of everyday and lifetime discrimination during an at-home interview one-month postpartum. Buccal samples were collected to assay buccal cell telomere length several years later when a consecutive child was 3-5 years of age. Telomere length derived from buccal cells was used as a biomarker indicating cellular aging and a risk factor for age-related disease. RESULTS Mothers (18-39 years old) who reported higher lifetime discrimination had shorter telomere length an average of 5.6 years later (B = -0.22 [SE = 0.04], p < 0.001). Mother's reports of everyday discrimination were not significantly related to telomere length (0.01[0.01], p = 0.15). CONCLUSIONS These findings suggest that lifetime exposure to discrimination, but not necessarily current reports of everyday discrimination, may increase biological aging as indicated by shorter buccal cell telomere length, providing evidence of a plausible route through which discrimination contributes to increased risk for earlier onset aging and age-related disease in women.
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Affiliation(s)
- Judith E Carroll
- University of California, Los Angeles, Cousins Center for Psychoneuroimmunology, Department of Psychiatry & Biobehavioral Science, David Geffen School of Medicine, Jane & Terry Semel Institute for Neuroscience & Human Behavior, United States.
| | - Jonah Eliezer Price
- University of California, Los Angeles, Department of Psychology, United States
| | - Joni Brown
- University of California, Los Angeles, Department of Psychology, United States
| | | | - Madeleine U Shalowitz
- NorthShore University HealthSystem, Department of Pediatrics, Rush University, Department of Psychiatry, United States
| | - Sharon Ramey
- Virginia Tech, Fralin Biomedical Research Institute, Departments of Psychology, Neuroscience, and Human Development, Department of Psychiatry & Behavioral Medicine and Pediatrics, United States
| | - Christine Dunkel Schetter
- University of California, Los Angeles, Cousins Center for Psychoneuroimmunology, Department of Psychiatry & Biobehavioral Science, David Geffen School of Medicine, Jane & Terry Semel Institute for Neuroscience & Human Behavior, United States; University of California, Los Angeles, Department of Psychology, United States
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Carroll JE, Olmstead R, Haque R, Irwin MR. Accelerated mononuclear cell telomere attrition in breast cancer survivors with depression history: A 2-year longitudinal cohort study. Cancer 2022; 128:3109-3119. [PMID: 35670038 DOI: 10.1002/cncr.34329] [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: 03/03/2022] [Revised: 04/11/2022] [Accepted: 05/09/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND Cancer treatments are thought to accelerate biological aging, although this trajectory is highly variable. Depression is more prevalent in breast cancer survivors and is thought to be a vulnerability factor for biological aging. A lifetime history of depression and cumulative lifetime number of depression episodes could hypothetically be associated with an accelerated rate of biological aging as indexed by attrition of telomere length in a prospective cohort of breast cancer survivors who were not currently depressed. METHODS Breast cancer survivors (n = 206) without current depression were recruited from a large community-based health plan and were assessed for depression history by a structured diagnostic interview. Blood specimens were provided at baseline and every 8 months over 24 months to measure peripheral blood mononuclear cell (PBMC) telomere length. Mixed linear models examined associations of depression history and number of depression episodes with change in telomere length, adjusting for demographic, comorbidity, and cancer-specific factors. RESULTS In the fully adjusted model, depression history predicted attrition of PBMC telomere length over 24 months (Beta [SE] = -.006 [.002], p = .001). Greater number of depressive episodes over the lifetime was also associated with accelerated attrition of PBMC telomere length over 24 months (Beta [SE] = -.004 [.001], p = .001). CONCLUSIONS In breast cancer survivors without current depression, telomere attrition over 24 months was greatest in those with a lifetime depression history, particularly those with the greatest number of episodes of major depressive disorder over their lifetime. Depression history and its cumulative burden may contribute to accelerated biological aging, with implications for risk of morbidity and mortality in breast cancer survivors.
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Affiliation(s)
- Judith E Carroll
- Cousins Center for Psychoneuroimmunology, UCLA Jane & Terry Semel Institute for Neuroscience & Human Behavior and Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Richard Olmstead
- Cousins Center for Psychoneuroimmunology, UCLA Jane & Terry Semel Institute for Neuroscience & Human Behavior and Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Reina Haque
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, USA
| | - Michael R Irwin
- Cousins Center for Psychoneuroimmunology, UCLA Jane & Terry Semel Institute for Neuroscience & Human Behavior and Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
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Murkey JA, Watkins BX, Vieira D, Boden-Albala B. Disparities in allostatic load, telomere length and chronic stress burden among African American adults: A systematic review. Psychoneuroendocrinology 2022; 140:105730. [PMID: 35338946 DOI: 10.1016/j.psyneuen.2022.105730] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 02/04/2022] [Accepted: 03/14/2022] [Indexed: 12/27/2022]
Abstract
BACKGROUND The chronic disease burden among African Americans has continued to rise. Although racial disparities in chronic disease risk are well documented, the role of chronic stress in risk disparities among racial and ethnic minorities is not well understood. This systematic review of studies reporting on the relationship between chronic stress, education, and/or income, and biomarkers of chronic stress (allostatic load and telomere length) longitudinally among African Americans, seeks to contribute to this knowledge gap. OBJECTIVE To use the existing literature to both examine the strength of two objective biomarkers--telomere length and allostatic load--as measures of the overactivation of physiological stress processes in African American adults; and determine if existing studies used these two biomarkers to assess the relationship between chronic stress, income and level of educational attainment among African Americans longitudinally. METHODS In order to identify English-language articles published prior to October 11, 2021, a comprehensive search strategy was developed using five databases: PubMed/Medline, EMBASE, Web of Science Plus, Global Health (Ovid), and PsycINFO. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method was used to record progress on the comprehensive search for studies reporting on allostatic load and/or telomere length biomarkers longitudinally within all bodily fluids and chronic stress among African American adults. RESULTS In total, 7 studies met the search criteria; 902 were excluded. Thus, less than 1% of all studies reporting on biomarkers of chronic stress longitudinally included African Americans. Each of the 7 studies described the relationship between telomere length and/or allostatic load among African Americans and chronic stress, education, and/or income. Higher chronic stress levels and experiences of racial discrimination were associated with telomere shortening while lower income and higher chronic stress levels were associated with an increase in allostatic load among African Americans. DISCUSSION Given the limited number of studies reporting on the association between allostatic load, telomere length, and/or the relationship between both in assessing chronic stress severity longitudinally among African American populations, it is impossible to determine whether one biomarker has greater predictive value than the other. However, based on the literature included in this review, higher chronic stress levels and experiences of racial discrimination were associated with shorter telomere length, while lower income and higher chronic stress levels are associated with an increase in allostatic load among African Americans. CONCLUSION These data illustrate a gap in the literature on the relationship between the biomarkers of telomere length and allostatic load combined as a potential measure for chronic stress among African Americans. To our knowledge, none the current literature describes the relationship between telomere length and allostatic load longitudinally among African American adults. As the field strives to develop a "gold standard" for measuring chronic stress, the combination of these biomarkers needs to be the subject of scientific inquiry and thus, fully examined. Future longitudinal studies among African Americans are needed to better understand which biomarker, or combination of biomarkers will provide the most accurate measure of physiological stress processes.
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Affiliation(s)
- Jamie A Murkey
- New York University School of Global Public Health, Department of Epidemiology, 708 Broadway, New York, NY 10003, USA.
| | - Beverly-Xaviera Watkins
- New York University School of Global Public Health, Department of Epidemiology, 708 Broadway, New York, NY 10003, USA
| | - Dorice Vieira
- New York University Langone School of Medicine, Health Sciences Library, 550 First Avenue, New York, NY 10016, USA
| | - Bernadette Boden-Albala
- University of California Irvine Department of Population Health, 653 East Peltason Drive, Irvine, CA 92697, USA
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Hu L, Bai Y, Hu G, Zhang Y, Han X, Li J. Association of Dietary Magnesium Intake With Leukocyte Telomere Length in United States Middle-Aged and Elderly Adults. Front Nutr 2022; 9:840804. [PMID: 35662923 PMCID: PMC9161353 DOI: 10.3389/fnut.2022.840804] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 04/25/2022] [Indexed: 11/13/2022] Open
Abstract
AimMagnesium supplementation may extend the life span; however, the biological mechanism is still unknown. Leukocyte telomere length (LTL) is a marker of cell aging and biological health in humans. Data concerning whether magnesium supplementation can maintain telomere length, thus prolonging life are limited. We aimed to investigate the association between dietary magnesium intake and LTL in United States middle-aged and elderly adults.MethodsA total of 4,039 United States adults aged ≥ 45 years from National Health and Nutrition Examination Survey (1999–2002). Dietary magnesium intake was collected by a trained interviewer using 24-h dietary recall method and LTL was obtained using the quantitative polymerase chain reaction method. Multiple linear regression analysis was performed to evaluate the crude and adjusted association of dietary magnesium intake with LTL.ResultsThe overall mean (SD) of LTL was 5.6 (0.6) kp. After adjusting potential confounders, every 1 mg increase in log-transformed dietary magnesium intake was associated with 0.20 kp (95% confidence intervals: 0.05–0.34) longer LTL. Participants with the highest tertile (≥299 mg) of dietary magnesium intake had statistically significant longer LTL (β = 0.07, P = 0.038) compared with the lowest tertile (<198 mg), with significant linear trends across tertiles. Moreover, the association between dietary magnesium intake and LTL was significantly stronger in participants with higher levels of education (≥high school compared with < high school, P for interaction = 0.002). E-value analysis suggested robustness to unmeasured confounding.ConclusionOur findings showed that increased dietary magnesium intake was associated with longer LTL, which suggested that magnesium was conducive to a longer life expectancy.
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Affiliation(s)
- Lihua Hu
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Yi Bai
- Department of Epidemiology and Bio-Statistics, School of Public Health, Peking University, Beijing, China
| | - Guiping Hu
- School of Engineering Medicine, Beihang University, Beijing, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China
- *Correspondence: Guiping Hu,
| | - Yan Zhang
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Xiaoning Han
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Jianping Li
- Department of Cardiology, Peking University First Hospital, Beijing, China
- Jianping Li,
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11
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Stankovic N, Holmberg MJ, Granfeldt A, Andersen LW. Socioeconomic status and risk of in-hospital cardiac arrest. Resuscitation 2022; 177:69-77. [DOI: 10.1016/j.resuscitation.2022.05.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 05/16/2022] [Accepted: 05/20/2022] [Indexed: 12/21/2022]
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12
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Almuwaqqat Z, Wittbrodt MT, Moazzami K, Nye JA, Lima BB, Shah AJ, Alkhalaf J, Pearce B, Sun YV, Quyyumi AA, Vaccarino V, Bremner JD. Neural correlates of stress and leucocyte telomere length in patients with coronary artery disease. J Psychosom Res 2022; 155:110760. [PMID: 35217318 PMCID: PMC8940678 DOI: 10.1016/j.jpsychores.2022.110760] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 02/07/2022] [Accepted: 02/07/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND Accelerated biological aging, as indicated by telomere shortening, is associated with CAD pathogenesis. In a cross-sectional study, we investigated neural correlates of acute psychological stress and short telomeres in patients with CAD. METHODS Individuals with CAD (N = 168) underwent a validated mental stress protocol including public speaking and mental arithmetic. Imaging of the brain with [O-15] water and high-resolution positron emission tomography (HR-PET) was performed during mental stress and control conditions. Blood flow during stressful tasks (average of speech and arithmetic) and control tasks were assessed. Telomere length in peripheral leucocytes was measured by quantitative polymerase chain reaction and expressed as Telomere/Single Copy Gene (T/S) ratio. Voxel-wise regression models were constructed to assess the association between brain areas and activity during rest and mental stress after adjustments for demographic factors and clinical characteristics. RESULTS The mean (SD) age of the sample was 62 (8) years, and 69% were men. Increased activation with mental stress in the lingual gyrus, cerebellum and superior and inferior frontal gyri were associated with reduced telomere length; 1.6 higher voxel activation of these areas was associated with 0.1 T/S-units reduction in telomere length (P < 0.005). Additionally, during neutral counting and speaking tasks, brain activity in the precentral, middle and superior frontal and middle temporal gyri was inversely associated with telomere length. Results remained consistent after adjustment for demographic and clinical risk factors. CONCLUSION Increased stress-induced activity in brain areas mediating the stress response was associated with shortened telomere length in CAD patients.
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Affiliation(s)
- Zakaria Almuwaqqat
- Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, United States of America; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
| | - Matthew T Wittbrodt
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, United States of America
| | - Kasra Moazzami
- Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, United States of America; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
| | - Jonathan A Nye
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States of America
| | - Bruno B Lima
- Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, United States of America
| | - Amit J Shah
- Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, United States of America; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America; Atlanta VA Medical Center, Decatur, Georgia
| | - Jamil Alkhalaf
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
| | - Brad Pearce
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
| | - Yan V Sun
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
| | - Arshed A Quyyumi
- Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, United States of America
| | - Viola Vaccarino
- Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, United States of America; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America
| | - J Douglas Bremner
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, United States of America; Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States of America; Atlanta VA Medical Center, Decatur, Georgia.
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13
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Amin V, Fletcher JM, Sun Z, Lu Q. Higher educational attainment is associated with longer telomeres in midlife: Evidence from sibling comparisons in the UK Biobank. SSM Popul Health 2022; 17:101018. [PMID: 35024423 PMCID: PMC8728101 DOI: 10.1016/j.ssmph.2021.101018] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 09/10/2021] [Accepted: 12/23/2021] [Indexed: 11/17/2022] Open
Abstract
Prior studies have established that higher educational attainment is associated with a longer telomere length (TL), a marker of cellular aging. However, it is unclear whether extant associations are causal, since they are likely confounded by unobserved genetic, early-life and family background factors that are correlated with education and TL. We leverage sibling differences in TL, education and measured genetics (polygenic scores for educational attainment and TL) to estimate associations between educational attainment and TL in midlife for European ancestry individuals in the UK Biobank, while controlling for unobserved confounders shared by siblings. After controlling for genetics and shared background between siblings, we find suggestive evidence that high school graduates have longer telomeres than high school dropouts, but we find no differences in TL between high school dropouts and college graduates.
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Affiliation(s)
- Vikesh Amin
- Central Michigan University, Mt Pleasant, MI, 48859, United States
| | | | | | - Qiongshi Lu
- University of Wisconsin-Madison, United States
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14
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Chen L, Tan KML, Gong M, Chong MFF, Tan KH, Chong YS, Meaney MJ, Gluckman PD, Eriksson JG, Karnani N. Variability in newborn telomere length is explained by inheritance and intrauterine environment. BMC Med 2022; 20:20. [PMID: 35073935 PMCID: PMC8787951 DOI: 10.1186/s12916-021-02217-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 12/14/2021] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Telomere length (TL) and its attrition are important indicators of physiological stress and biological aging and hence may vary among individuals of the same age. This variation is apparent even in newborns, suggesting potential effects of parental factors and the intrauterine environment on TL of the growing fetus. METHODS Average relative TLs of newborns (cord tissue, N = 950) and mothers (buffy coat collected at 26-28 weeks of gestation, N = 892) were measured in a birth cohort. This study provides a comprehensive analysis of the effects of heritable factors, socioeconomic status, and in utero exposures linked with maternal nutrition, cardiometabolic health, and mental well-being on the newborn TL. The association between maternal TL and antenatal maternal health was also studied. RESULTS Longer maternal TL (β = 0.14, P = 1.99E-05) and higher paternal age (β = 0.10, P = 3.73E-03) were positively associated with newborn TL. Genome-wide association studies on newborn and maternal TLs identified 6 genetic variants in a strong linkage disequilibrium on chromosome 3q26.2 (Tag SNP-LRRC34-rs10936600: Pmeta = 5.95E-08). Mothers with higher anxiety scores, elevated fasting blood glucose, lower plasma insulin-like growth factor-binding protein 3 and vitamin B12 levels, and active smoking status during pregnancy showed a higher risk of giving birth to offspring with shorter TL. There were sex-related differences in the factors explaining newborn TL variation. Variation in female newborn TL was best explained by maternal TL, mental health, and plasma vitamin B12 levels, while that in male newborn TL was best explained by paternal age, maternal education, and metabolic health. Mother's TL was associated with her own metabolic health and nutrient status, which may have transgenerational effects on offspring TL. CONCLUSIONS Our findings provide a comprehensive understanding of the heritable and environmental factors and their relative contributions to the initial setting of TL and programing of longevity in early life. This study provides valuable insights for preventing in utero telomere attrition by improving the antenatal health of mothers via targeting the modifiable factors. TRIAL REGISTRATION ClinicalTrials.gov , NCT01174875. Registered on 1 July 2010.
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Affiliation(s)
- Li Chen
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore.
| | | | - Min Gong
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore
| | - Mary F F Chong
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore, Singapore
| | - Kok Hian Tan
- KK Women's and Children's Hospital, Singapore, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore.,Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore.,Sackler Program for Epigenetics & Psychobiology at McGill University, Montréal, Canada.,Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montréal, Canada
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore.,Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore.,Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, McGill University, Montréal, Canada.,Folkhalsan Research Center, Helsinki, Finland.,Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
| | - Neerja Karnani
- Singapore Institute for Clinical Sciences, A*STAR, Singapore, Singapore. .,Bioinformatics Institute, A*STAR, Singapore, Singapore. .,Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
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15
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Ng TKS, Matchar DB, Pyrkov TV, Fedichev PO, Chan AWM, Kennedy B. Association between housing type and accelerated biological aging in different sexes: moderating effects of health behaviors. Aging (Albany NY) 2021; 13:20029-20049. [PMID: 34456185 PMCID: PMC8436907 DOI: 10.18632/aging.203447] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 08/10/2021] [Indexed: 11/25/2022]
Abstract
Introduction: Despite associated with multiple geriatric disorders, whether housing type, an indicator of socioeconomic status (SES) and environmental factors, is associated with accelerated biological aging is unknown. Furthermore, although individuals with low-SES have higher body mass index (BMI) and are more likely to smoke, whether BMI and smoking status moderate the association between SES and biological aging is unclear. We examined these questions in urbanized low-SES older community-dwelling adults. Methods: First, we analyzed complete blood count data using the cox proportional hazards model and derived measures for biological age (BA) and biological age acceleration (BAA, the higher the more accelerated aging) (N = 376). Subsequently, BAA was regressed on housing type, controlling for covariates, including four other SES indicators. Interaction terms between housing type and BMI/smoking status were separately added to examine their moderating effects. Total sample and sex-stratified analyses were performed. Results: There were significant differences between men and women in housing type and BAA. Compared to residents in ≥3 room public or private housing, older adults resided in 1–2 room public housing had a higher BAA. Furthermore, BMI attenuated the association between housing type and BAA. In sex-stratified analyses, the main and interaction effects were only significant in women. In men, smoking status instead aggravated the association between housing type and BAA. Conclusion: Controlling for other SES indicators, housing type is an independent socio-environmental determinant of BA and BAA in a low-SES urbanized population. There were also sex differences in the moderating effects of health behaviors on biological aging.
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Affiliation(s)
- Ted Kheng Siang Ng
- Arizona State University, Edson College of Nursing and Health Innovation, Phoenix, AZ 85004, USA.,National Cheng Kung University, Institute of Behavioral Medicine, College of Medicine, Taiwan
| | - David Bruce Matchar
- Duke-National University of Singapore Medical School, Program in Health Services and Systems Research, Singapore.,Duke University School of Medicine, Department of Medicine (General Internal Medicine), Durham, NC 27710, USA
| | | | - Peter O Fedichev
- GERO PTE. LTD., Singapore.,Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region 141700, Russia
| | - Angelique Wei-Ming Chan
- Duke-National University of Singapore Medical School, Program in Health Services and Systems Research, Singapore.,Duke-National University of Singapore Medical School, Center for Aging, Research and Education, Singapore.,National University of Singapore, Department of Sociology, Faculty of Arts and Social Sciences, Singapore
| | - Brian Kennedy
- National University of Singapore, Center for Healthy Longevity, Healthy Longevity Program and Department of Biochemistry, Yong Loo Lin School of Medicine, Singapore.,Singapore Institute of Clinical Sciences, A*STAR, Singapore
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16
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Pavanello S, Campisi M, Grassi A, Mastrangelo G, Durante E, Veronesi A, Gallucci M. Longer Leukocytes Telomere Length Predicts a Significant Survival Advantage in the Elderly TRELONG Cohort, with Short Physical Performance Battery Score and Years of Education as Main Determinants for Telomere Elongation. J Clin Med 2021; 10:3700. [PMID: 34441997 PMCID: PMC8397185 DOI: 10.3390/jcm10163700] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 08/16/2021] [Accepted: 08/17/2021] [Indexed: 01/06/2023] Open
Abstract
Leukocyte telomere length (LTL) represents a key integrating component of the cumulative effects of environmental, lifestyle, and genetic factors. A question, however, remains on whether LTL can be considered predictive for a longer and healthier life. Within the elderly prospective TRELONG cohort (n = 612), we aimed to investigate LTL as a predictor of longevity and identify the main determinants of LTL among many different factors (physiological and lifestyle characteristics, physical performance and frailty measures, chronic diseases, biochemical measurements and apolipoprotein E genotyping). We found an ever-increasing relationship between LTL quartiles and survival. Hazard ratio analysis showed that for each unit increase in LTL and Short Physical Performance Battery (SPPB) scores, the mortality risk was reduced by 22.41% and 8.78%, respectively. Conversely, male gender, Charlson Comorbidity Index, and age threatened survival, with mortality risk growing by 74.99%, 16.57% and 8.5%, respectively. Determinants of LTL elongation were SPPB scores (OR = 1.1542; p = 0.0066) and years of education (OR = 1.0958; p = 0.0065), while male gender (OR = 0.4388; p = 0.0143) and increased Disease Count Index (OR = 0.6912; p = 0.0066) were determinants of LTL attrition. Longer LTL predicts a significant survival advantage in elderly people. By identifying determinants of LTL elongation, we provided additional knowledge that could offer a potential translation into prevention strategies.
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Affiliation(s)
- Sofia Pavanello
- Section of Occupational Medicine, Department of Cardiac, Thoracic, Vascular Sciences & Public Health, University of Padova, 35128 Padova, Italy; (M.C.); (G.M.)
- Unit of Occupational Medicine, University Hospital of Padova, 35128 Padova, Italy
| | - Manuela Campisi
- Section of Occupational Medicine, Department of Cardiac, Thoracic, Vascular Sciences & Public Health, University of Padova, 35128 Padova, Italy; (M.C.); (G.M.)
| | - Alberto Grassi
- Department of Statistical Sciences, University of Padua, 35121 Padova, Italy;
| | - Giuseppe Mastrangelo
- Section of Occupational Medicine, Department of Cardiac, Thoracic, Vascular Sciences & Public Health, University of Padova, 35128 Padova, Italy; (M.C.); (G.M.)
| | - Elisabetta Durante
- Immunohematology and Transfusional Medicine Service, Local Health Authority n. 2 Marca Trevigiana, 31100 Treviso, Italy; (E.D.); (A.V.)
| | - Arianna Veronesi
- Immunohematology and Transfusional Medicine Service, Local Health Authority n. 2 Marca Trevigiana, 31100 Treviso, Italy; (E.D.); (A.V.)
| | - Maurizio Gallucci
- Cognitive Impairment Center, Local Health Authority n. 2 Marca Trevigiana, 31100 Treviso, Italy;
- Foundation for Interdisciplinary Geriatric Research (FORGEI), 31100 Treviso, Italy
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17
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de las Fuentes L, Sung YJ, Noordam R, Winkler T, Feitosa MF, Schwander K, Bentley AR, Brown MR, Guo X, Manning A, Chasman DI, Aschard H, Bartz TM, Bielak LF, Campbell A, Cheng CY, Dorajoo R, Hartwig FP, Horimoto ARVR, Li C, Li-Gao R, Liu Y, Marten J, Musani SK, Ntalla I, Rankinen T, Richard M, Sim X, Smith AV, Tajuddin SM, Tayo BO, Vojinovic D, Warren HR, Xuan D, Alver M, Boissel M, Chai JF, Chen X, Christensen K, Divers J, Evangelou E, Gao C, Girotto G, Harris SE, He M, Hsu FC, Kühnel B, Laguzzi F, Li X, Lyytikäinen LP, Nolte IM, Poveda A, Rauramaa R, Riaz M, Rueedi R, Shu XO, Snieder H, Sofer T, Takeuchi F, Verweij N, Ware EB, Weiss S, Yanek LR, Amin N, Arking DE, Arnett DK, Bergmann S, Boerwinkle E, Brody JA, Broeckel U, Brumat M, Burke G, Cabrera CP, Canouil M, Chee ML, Chen YDI, Cocca M, Connell J, de Silva HJ, de Vries PS, Eiriksdottir G, Faul JD, Fisher V, Forrester T, Fox EF, Friedlander Y, Gao H, Gigante B, Giulianini F, Gu CC, Gu D, Harris TB, He J, Heikkinen S, Heng CK, Hunt S, Ikram MA, Irvin MR, Kähönen M, Kavousi M, Khor CC, Kilpeläinen TO, Koh WP, Komulainen P, Kraja AT, Krieger JE, Langefeld CD, Li Y, Liang J, Liewald DCM, Liu CT, Liu J, Lohman KK, Mägi R, McKenzie CA, Meitinger T, Metspalu A, Milaneschi Y, Milani L, Mook-Kanamori DO, Nalls MA, Nelson CP, Norris JM, O'Connell J, Ogunniyi A, Padmanabhan S, Palmer ND, Pedersen NL, Perls T, Peters A, Petersmann A, Peyser PA, Polasek O, Porteous DJ, Raffel LJ, Rice TK, Rotter JI, Rudan I, Rueda-Ochoa OL, Sabanayagam C, Salako BL, Schreiner PJ, Shikany JM, Sidney SS, Sims M, Sitlani CM, Smith JA, Starr JM, Strauch K, Swertz MA, Teumer A, Tham YC, Uitterlinden AG, Vaidya D, van der Ende MY, Waldenberger M, Wang L, Wang YX, Wei WB, Weir DR, Wen W, Yao J, Yu B, Yu C, Yuan JM, Zhao W, Zonderman AB, Becker DM, Bowden DW, Deary IJ, Dörr M, Esko T, Freedman BI, Froguel P, Gasparini P, Gieger C, Jonas JB, Kammerer CM, Kato N, Lakka TA, Leander K, Lehtimäki T, Magnusson PKE, Marques-Vidal P, Penninx BWJH, Samani NJ, van der Harst P, Wagenknecht LE, Wu T, Zheng W, Zhu X, Bouchard C, Cooper RS, Correa A, Evans MK, Gudnason V, Hayward C, Horta BL, Kelly TN, Kritchevsky SB, Levy D, Palmas WR, Pereira AC, Province MM, Psaty BM, Ridker PM, Rotimi CN, Tai ES, van Dam RM, van Duijn CM, Wong TY, Rice K, Gauderman WJ, Morrison AC, North KE, Kardia SLR, Caulfield MJ, Elliott P, Munroe PB, Franks PW, Rao DC, Fornage M. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry 2021; 26:2111-2125. [PMID: 32372009 PMCID: PMC7641978 DOI: 10.1038/s41380-020-0719-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 03/19/2020] [Accepted: 03/24/2020] [Indexed: 02/07/2023]
Abstract
Educational attainment is widely used as a surrogate for socioeconomic status (SES). Low SES is a risk factor for hypertension and high blood pressure (BP). To identify novel BP loci, we performed multi-ancestry meta-analyses accounting for gene-educational attainment interactions using two variables, "Some College" (yes/no) and "Graduated College" (yes/no). Interactions were evaluated using both a 1 degree of freedom (DF) interaction term and a 2DF joint test of genetic and interaction effects. Analyses were performed for systolic BP, diastolic BP, mean arterial pressure, and pulse pressure. We pursued genome-wide interrogation in Stage 1 studies (N = 117 438) and follow-up on promising variants in Stage 2 studies (N = 293 787) in five ancestry groups. Through combined meta-analyses of Stages 1 and 2, we identified 84 known and 18 novel BP loci at genome-wide significance level (P < 5 × 10-8). Two novel loci were identified based on the 1DF test of interaction with educational attainment, while the remaining 16 loci were identified through the 2DF joint test of genetic and interaction effects. Ten novel loci were identified in individuals of African ancestry. Several novel loci show strong biological plausibility since they involve physiologic systems implicated in BP regulation. They include genes involved in the central nervous system-adrenal signaling axis (ZDHHC17, CADPS, PIK3C2G), vascular structure and function (GNB3, CDON), and renal function (HAS2 and HAS2-AS1, SLIT3). Collectively, these findings suggest a role of educational attainment or SES in further dissection of the genetic architecture of BP.
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Affiliation(s)
- Lisa de las Fuentes
- Cardiovascular Division, Department of Medicine, Washington University, St. Louis, MO, 63110, USA.
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, 63110, USA.
| | - Yun Ju Sung
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, 63110, USA.
| | - Raymond Noordam
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, 2333ZA, The Netherlands
| | - Thomas Winkler
- Department of Genetic Epidemiology, University of Regensburg, 93051, Regensburg, Germany
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63108, USA
| | - Karen Schwander
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Division of Genomic Outcomes, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Alisa Manning
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, 02114, USA
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Hugues Aschard
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, 02115, USA
- Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur, Paris, 75724, France
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Biostatistics and Medicine, University of Washington, Seattle, WA, 98101, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Archie Campbell
- Centre for Genomic & Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Ching-Yu Cheng
- Ocular Epidemiology, Singapore Eye Research Institute, Singapore National Ecy Centre, Singapore, 169856, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, 169857, Singapore
| | - Rajkumar Dorajoo
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, 138672, Singapore
| | - Fernando P Hartwig
- Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas, RS, 96020-220, Brazil
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2BN, UK
| | - A R V R Horimoto
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, SP, 5403000, Brazil
| | - Changwei Li
- Epidemiology and Biostatistics, University of Georgia at Athens College of Public Health, Athens, GA, 30602, USA
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, 2333ZA, Netherlands
| | - Yongmei Liu
- Public Health Sciences, Epidemiology and Prevention, Wake Forest University Health Sciences, Winston-Salem, NC, 27157, USA
| | - Jonathan Marten
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Solomon K Musani
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, 39213, USA
| | - Ioanna Ntalla
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Tuomo Rankinen
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Melissa Richard
- Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, 70808, USA
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, 117549, Singapore
| | - Albert V Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
- Icelandic Heart Association, Kopavogur, 201, Iceland
| | - Salman M Tajuddin
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Bamidele O Tayo
- Department of Public Health Sciences, Loyola University Chicago, Maywood, IL, 60153, USA
| | - Dina Vojinovic
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Helen R Warren
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
- NIHR Barts Cardiovascular Biomedical Research Unit, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, London, EC1M 6BQ, UK
| | - Deng Xuan
- Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Maris Alver
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
- Department of Biotechnology, Institute of Molecular and Cell Biology, University of Tartu, Tartu, 51010, Estonia
| | - Mathilde Boissel
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille, 59000, France
| | - Jin-Fang Chai
- Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, 117549, Singapore
| | - Xu Chen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Stockholm, 17177, Sweden
| | - Kaare Christensen
- Unit of Epidemiology, Biostatistics and Biodemography, Department of Public Health, Southern Denmark University, Odense, 5000, Denmark
| | - Jasmin Divers
- Biostatistical Sciences, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Evangelos Evangelou
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, W2 1PG, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, 45110, Greece
| | - Chuan Gao
- Molecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Giorgia Girotto
- Medical Genetics, Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, 34100, Italy
- Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, 34100, Italy
| | - Sarah E Harris
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Meian He
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Fang-Chi Hsu
- Biostatistical Sciences, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Brigitte Kühnel
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Federica Laguzzi
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Xiaoyin Li
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA
- Department of Mathematics and Statistics, University of Minnesota, Duluth, MN, 55812, USA
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, 33520, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, University of Tampere, Tampere, 33014, Finland
| | - Ilja M Nolte
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, 9700RB, The Netherlands
| | - Alaitz Poveda
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Skåne University Hospital, Malmö, Skåne, 205 02, Sweden
| | - Rainer Rauramaa
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, 70100, Finland
| | - Muhammad Riaz
- College of Medicine, Biological Sciences and Psychology, Health Sciences, The Infant Mortality and Morbidity Studies (TIMMS), Leicester, LE1 7RH, UK
| | - Rico Rueedi
- Department of Computational Biology, University of Lausanne, Lausanne, 1011, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, 37203, USA
| | - Harold Snieder
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, 9700RB, The Netherlands
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Fumihiko Takeuchi
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, 1628655, Japan
| | - Niek Verweij
- University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen, 9700, The Netherlands
| | - Erin B Ware
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Stefan Weiss
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, 9713GZ, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Health), Partner Site Greifswald, 17475, Greifswald, Germany
| | - Lisa R Yanek
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Najaf Amin
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Donna K Arnett
- Dean's Office, University of Kentucky College of Public Health, Lexington, KY, 40536, USA
| | - Sven Bergmann
- Department of Computational Biology, University of Lausanne, Lausanne, 1011, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Medicine, University of Washington, Seattle, WA, 98101, USA
| | - Ulrich Broeckel
- Section of Genomic Pediatrics, Department of Pediatrics, Medicine and Physiology, Medical College of Wisconsin, Milwaukee, WI, 53226, USA
| | - Marco Brumat
- Medical Genetics, Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, 34100, Italy
| | - Gregory Burke
- Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, 27109, USA
| | - Claudia P Cabrera
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
- NIHR Barts Cardiovascular Biomedical Research Unit, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, London, EC1M 6BQ, UK
| | - Mickaël Canouil
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille, 59000, France
| | - Miao Li Chee
- Statistics Unit, Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, 169856, Singapore
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Division of Genomic Outcomes, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Massimiliano Cocca
- Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, 34100, Italy
| | - John Connell
- Ninewells Hospital & Medical School, University of Dundee, Dundee, Scotland, DD1 9SY, UK
| | - H Janaka de Silva
- Department of Medicine, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | | | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Virginia Fisher
- Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Terrence Forrester
- Tropical Metabolism Research Unit, Tropical Medicine Research Institute, University of the West Indies, Mona, JMAAW15, Jamaica
| | - Ervin F Fox
- Cardiology, Medicine, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Yechiel Friedlander
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem, 91120, Israel
| | - He Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, W2 1PG, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, W2 1PG, UK
| | - Bruna Gigante
- Cardiovascular Unit, Bioclinicum, Department of Medicine, Karolinska Hospital, Stockholm, 17164, Sweden
- Division of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd University Hospital, Stockholm, 18288, Sweden
| | | | - Chi Charles Gu
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Dongfeng Gu
- Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Jiang He
- Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, 70112, USA
- Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA
| | - Sami Heikkinen
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Kuopio, 70211, Finland
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, 70211, Finland
| | - Chew-Kiat Heng
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
- Khoo Teck Puat - National University Children's Medical Institute, National University Health System, Singapore, 119228, Singapore
| | - Steven Hunt
- Cardiovascular Genetics, Department of Internal Medicine, University of Utah, Salt Lake City, UT, 84108, USA
- Weill Cornell Medicine in Qatar, Doha, Qatar
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Marguerite R Irvin
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, 33521, Finland
- Department of Clinical Physiology, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, University of Tampere, Tampere, 33014, Finland
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Chiea Chuen Khor
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, 138672, Singapore
- Department of Biochemistry, National University of Singapore, Singapore, 117596, Singapore
| | - Tuomas O Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, DK-2200, Denmark
- Department of Environmental Medicine and Public Health, The Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, 117549, Singapore
- Health Services and Systems Research, Duke-NUS Medical School, Singapore, 169857, Singapore
| | - Pirjo Komulainen
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, 70100, Finland
| | - Aldi T Kraja
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63108, USA
| | - J E Krieger
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, SP, 5403000, Brazil
| | - Carl D Langefeld
- Biostatistical Sciences, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Yize Li
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Jingjing Liang
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - David C M Liewald
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Ching-Ti Liu
- Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, 138672, Singapore
- Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, 117549, Singapore
| | - Kurt K Lohman
- Public Health Sciences, Biostatistics and Data Science, Wake Forest University Health Sciences, Winston-Salem, NC, 27157, USA
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
| | - Colin A McKenzie
- Tropical Metabolism Research Unit, Tropical Medicine Research Institute, University of the West Indies, Mona, JMAAW15, Jamaica
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Institute of Human Genetics, Technische Universität München, 80333, Munich, Germany
| | - Andres Metspalu
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
- Department of Biotechnology, Institute of Molecular and Cell Biology, University of Tartu, Tartu, 51010, Estonia
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, 1081 BT, The Netherlands
| | - Lili Milani
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, 2333ZA, Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, 2333ZA, Netherlands
| | - Mike A Nalls
- Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, 20895, USA
- Data Tecnica International, Glen Echo, MD, 20812, USA
| | - Christopher P Nelson
- Department of Cardiovascular Sciences, University of Leicester, Leicester, LE3 9QP, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Jill M Norris
- Department of Epidemiology, University of Colorado Denver, Aurora, CO, 80045, USA
| | - Jeff O'Connell
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Adesola Ogunniyi
- Department of Medicine, University of Ibadan, Ibadan, Oyo, Nigeria
| | - Sandosh Padmanabhan
- British Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8TA, UK
| | | | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Stockholm, 17177, Sweden
| | - Thomas Perls
- Department of Medicine, Geriatrics Section, Boston Medical Center, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, 85764, Neuherberg, Germany
| | - Astrid Petersmann
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, 17475, Greifswald, Germany
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Ozren Polasek
- University of Split School of Medicine, Split, Croatia
- University Hospital Split, Split, Croatia
- Psychiatric Hospital "Sveti Ivan", Zagreb, Croatia
| | - David J Porteous
- Centre for Genomic & Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Leslie J Raffel
- Division of Genetic and Genomic Medicine, Department of Pediatrics, University of California, Irvine, CA, 92868, USA
| | - Treva K Rice
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Division of Genomic Outcomes, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Igor Rudan
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, EH8 9AG, UK
| | | | - Charumathi Sabanayagam
- Ocular Epidemiology, Singapore Eye Research Institute, Singapore National Ecy Centre, Singapore, 169856, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, 169857, Singapore
| | | | - Pamela J Schreiner
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, 55454, USA
| | - James M Shikany
- Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 25249, USA
| | - Stephen S Sidney
- Division of Research, Kaiser Permanente of Northern California, Oakland, CA, USA
| | - Mario Sims
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, 39213, USA
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Medicine, University of Washington, Seattle, WA, 98101, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA
| | - John M Starr
- Alzheimer Scotland Dementia Research Centre, The University of Edinburgh, Edinburgh, EH8 9AZ, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, UK
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Institute of Medical Informatics Biometry and Epidemiology, Ludwig-Maximilians-Universitat Munchen, 80539, Munich, Germany
| | - Morris A Swertz
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, 9700RB, The Netherlands
| | - Alexander Teumer
- DZHK (German Centre for Cardiovascular Health), Partner Site Greifswald, 17475, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, 17475, Greifswald, Germany
| | - Yih Chung Tham
- Ocular Epidemiology, Singapore Eye Research Institute, Singapore National Ecy Centre, Singapore, 169856, Singapore
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Dhananjay Vaidya
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - M Yldau van der Ende
- University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen, 9700, The Netherlands
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, 85764, Neuherberg, Germany
| | - Lihua Wang
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63108, USA
| | - Ya-Xing Wang
- Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Ophthalmology and Visual Science Key Lab, Beijing Tongren Hospital, Capital Medical University, 100730, Beijing, China
| | - Wen-Bin Wei
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, 100730, Beijing, China
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, 37203, USA
| | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, Division of Genomic Outcomes, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Bing Yu
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Caizheng Yu
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jian-Min Yuan
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15261, USA
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer, , University of Pittsburgh, Pittsburgh, PA, 15232, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Alan B Zonderman
- Behavioral Epidemiology Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Diane M Becker
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Donald W Bowden
- Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Ian J Deary
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Marcus Dörr
- DZHK (German Centre for Cardiovascular Health), Partner Site Greifswald, 17475, Greifswald, Germany
- Department of Internal Medicine B, University Medicine Greifswald, 17475, Greifswald, Germany
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, 51010, Estonia
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Boston, MA, 02142, USA
| | - Barry I Freedman
- Section on Nephrology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-, Salem, NC, 27157, USA
| | - Philippe Froguel
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille, 59000, France
- Department of Genomics of Common Disease, Imperial College London, London, W12 0NN, UK
| | - Paolo Gasparini
- Medical Genetics, Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, 34100, Italy
- Institute for Maternal and Child Health-IRCCS "Burlo Garofolo", Trieste, 34100, Italy
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
- German Center for Diabetes Research (DZD e.V.), 85764, Neuherberg, Germany
| | - Jost Bruno Jonas
- Department of Ophthalmology, Medical Faculty Mannheim, University Heidelberg, 68167, Mannheim, Germany
- Beijing Institute of Ophthalmology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Tongren Eye Center, Capital Medical University, 100730, Beijing, China
| | - Candace M Kammerer
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Norihiro Kato
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, 1628655, Japan
| | - Timo A Lakka
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, 70100, Finland
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Kuopio, 70211, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, 70211, Finland
| | - Karin Leander
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, 17177, Sweden
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, 33520, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, University of Tampere, Tampere, 33014, Finland
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Stockholm, 17177, Sweden
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, 1011, Switzerland
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, 1081 BT, The Netherlands
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, LE3 9QP, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Pim van der Harst
- University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen, 9700, The Netherlands
- Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Ultrecht, The Netherlands
| | - Lynne E Wagenknecht
- Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, 27109, USA
| | - Tangchun Wu
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, 37203, USA
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Richard S Cooper
- Department of Public Health Sciences, Loyola University Chicago, Maywood, IL, 60153, USA
| | - Adolfo Correa
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, 39213, USA
| | - Michele K Evans
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, 21224, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, 201, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, 101, Iceland
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Bernardo L Horta
- Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas, RS, 96020-220, Brazil
| | - Tanika N Kelly
- Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, 70112, USA
| | - Stephen B Kritchevsky
- Sticht Center for Health Aging and Alzheimer's Prevention, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Daniel Levy
- NHLBI Framingham Heart Study, Framingham, MA, 01702, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD, 20892, USA
| | - Walter R Palmas
- Division of General Medicine, Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - A C Pereira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, SP, 5403000, Brazil
| | - Michael M Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63108, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Epidemiology, Medicine and Health Services, University of Washington, Seattle, WA, 98101, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - Paul M Ridker
- Harvard Medical School, Boston, MA, 02115, USA
- Brigham and Women's Hospital, Boston, MA, 02215, USA
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - E Shyong Tai
- Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, 117549, Singapore
- Health Services and Systems Research, Duke-NUS Medical School, Singapore, 169857, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, 117549, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Tien Yin Wong
- Ocular Epidemiology, Singapore Eye Research Institute, Singapore National Ecy Centre, Singapore, 169856, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, 169857, Singapore
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - W James Gauderman
- Biostatistics, Preventive Medicine, University of Southern California, Los Angeles, CA, 90032, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Kari E North
- Epidemiology, University of North Carolina Gilling School of Global Public Health, Chapel Hill, NC, 27514, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Mark J Caulfield
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
- NIHR Barts Cardiovascular Biomedical Research Unit, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, London, EC1M 6BQ, UK
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, W2 1PG, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, W2 1PG, UK
| | - Patricia B Munroe
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
- NIHR Barts Cardiovascular Biomedical Research Unit, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, London, EC1M 6BQ, UK
| | - Paul W Franks
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Skåne University Hospital, Malmö, Skåne, 205 02, Sweden
- Department of Public Health & Clinical Medicine, Umeå University, Umeå, Västerbotten, 901 85, Sweden
| | - Dabeeru C Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Myriam Fornage
- Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, 70808, USA
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18
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Borrescio-Higa F, Valenzuela P. Does Education Mitigate the Effect of Population Aging on Health Expenditure? A Panel Data Study of Latin American Countries. J Aging Health 2021; 33:585-595. [PMID: 33913783 DOI: 10.1177/08982643211002338] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Objective: To examine whether the effect of population aging on healthcare expenditures as a share of Gross Domestic Product (GDP) is attenuated in more educated countries. Method: The analysis is based on a dataset of 22 Latin American countries between 1995 and 2013. We estimate panel data models with country and time fixed effects, and control for potential nonlinear effects of population aging on health expenditure. Results: We find population aging increases health expenditure as a share of GDP in economies characterized by low levels of education, but this effect is mitigated in economies with higher levels of education. Results are driven by private health expenditures. Discussion: Results suggest population aging and education have a stronger influence on healthcare expenditures in less developed countries. This finding is important in a context in which the rapid growth of the aging population is likely to lead to significant costs in terms of health expenditures, but less so in more educated societies.
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19
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The role of relationships and sense of belonging among first-generation, low-income youth on future college entrance. SOCIAL PSYCHOLOGY OF EDUCATION 2021. [DOI: 10.1007/s11218-021-09625-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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20
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Bosquet Enlow M, Petty CR, Hacker MR, Burris HH. Maternal psychosocial functioning, obstetric health history, and newborn telomere length. Psychoneuroendocrinology 2021; 123:105043. [PMID: 33176222 PMCID: PMC7732207 DOI: 10.1016/j.psyneuen.2020.105043] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 10/26/2020] [Accepted: 10/27/2020] [Indexed: 12/20/2022]
Abstract
There is growing interest in elucidating the determinants of newborn telomere length, given its potential as a biomarker of lifetime disease risk affected by prenatal exposures. There is limited evidence that increased maternal stress during pregnancy predicts shorter newborn telomere length. However, the few studies published to date have been conducted primarily with small samples utilizing inconsistent definitions of maternal stress. Moreover, the potential influence of fetal sex as a moderator of maternal stress effects on newborn telomere length has been largely ignored despite compelling evidence of likely impact. In a prospective cohort study of pregnant women seeking routine prenatal care, we tested whether a range of maternal measures of stressor exposures, subjective feelings of stress, and mental health (depression, anxiety) were associated with newborn telomere length assessed from cord blood among 146 pregnant women and their newborn infants. We further examined whether the pattern of associations differed by infant sex. Sociodemographic and maternal and newborn health indicators were considered as potential covariates. When examined within the whole sample, none of the maternal psychosocial measures were associated with newborn telomere length. Among potential covariates, maternal history of smoking and preeclampsia in a previous pregnancy were negatively associated with newborn telomere length. In adjusted linear regression analyses that considered potential sex-specific effects, maternal depression, general anxiety, and pregnancy-specific anxiety symptoms were positively associated with newborn telomere length among males. Overall, the findings provide some evidence for an association between maternal psychosocial wellbeing in pregnancy and newborn telomere length in males, although in the opposite direction than previously reported. Maternal smoking and obstetric history prior to conception may be associated with shorter offspring telomere length.
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Affiliation(s)
- Michelle Bosquet Enlow
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
| | - Carter R. Petty
- Institutional Centers for Clinical and Translational Research, Boston Children’s Hospital, Boston, MA, USA
| | - Michele R. Hacker
- Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA, USA,Department of Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, MA, USA
| | - Heather H. Burris
- Department of Neonatology, Beth Israel Deaconess Medical Center, Boston, MA, USA,Division of Neonatology, Children’s Hospital of Philadelphia, Philadelphia, PA,Department of Pediatrics, Perelman School of Medicine, Philadelphia, PA, USA
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21
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Shirazi TN, Hastings WJ, Rosinger AY, Ryan CP. Parity predicts biological age acceleration in post-menopausal, but not pre-menopausal, women. Sci Rep 2020; 10:20522. [PMID: 33239686 PMCID: PMC7689483 DOI: 10.1038/s41598-020-77082-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 10/27/2020] [Indexed: 12/26/2022] Open
Abstract
Understanding factors contributing to variation in ‘biological age’ is essential to understanding variation in susceptibility to disease and functional decline. One factor that could accelerate biological aging in women is reproduction. Pregnancy is characterized by extensive, energetically-costly changes across numerous physiological systems. These ‘costs of reproduction’ may accumulate with each pregnancy, accelerating biological aging. Despite evidence for costs of reproduction using molecular and demographic measures, it is unknown whether parity is linked to commonly-used clinical measures of biological aging. We use data collected between 1999 and 2010 from the National Health and Nutrition Examination Survey (n = 4418) to test whether parity (number of live births) predicted four previously-validated composite measures of biological age and system integrity: Levine Method, homeostatic dysregulation, Klemera–Doubal method biological age, and allostatic load. Parity exhibited a U-shaped relationship with accelerated biological aging when controlling for chronological age, lifestyle, health-related, and demographic factors in post-menopausal, but not pre-menopausal, women, with biological age acceleration being lowest among post-menopausal women reporting between three and four live births. Our findings suggest a link between reproductive function and physiological dysregulation, and allude to possible compensatory mechanisms that buffer the effects of reproductive function on physiological dysregulation during a woman’s reproductive lifespan. Future work should continue to investigate links between parity, menopausal status, and biological age using targeted physiological measures and longitudinal studies.
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Affiliation(s)
- Talia N Shirazi
- Department of Anthropology, Pennsylvania State University, 421 Carpenter Building, University Park, PA, 16802, USA.
| | - Waylon J Hastings
- Department of Biobehavioral Health, Pennsylvania State University, University Park, PA, USA
| | - Asher Y Rosinger
- Department of Anthropology, Pennsylvania State University, 421 Carpenter Building, University Park, PA, 16802, USA.,Department of Biobehavioral Health, Pennsylvania State University, University Park, PA, USA
| | - Calen P Ryan
- Department of Anthropology, Northwestern University, Evanston, IL, USA
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22
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Normando P, Bezerra FF, Santana BA, Calado RT, Santos-Rebouças CB, Epel ES, Faerstein E. Association between socioeconomic markers and adult telomere length differs according to sex: Pro-Saúde study. ACTA ACUST UNITED AC 2020; 53:e10223. [PMID: 33053112 PMCID: PMC7552895 DOI: 10.1590/1414-431x202010223] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 08/09/2020] [Indexed: 11/24/2022]
Abstract
Understanding the social determinants of telomere length is critical to evaluate the risk of early biological aging. We investigated sex differences on the association between socioeconomic status (SES) and demographic markers and leukocyte telomere length (LTL) in Brazilian adults. This cross-sectional study was conducted in a subsample (women=228; men=200) nested within the Pro-Saúde study, a prospective cohort study of university civil servants in Rio de Janeiro, Brazil (2012-2013). Adjusted multivariate models were used to test the relationship between SES markers (marital status, educational attainment, father's educational attainment, race/skin color, household income, and childhood experience of food deprivation) and LTL. After adjusting for age and potential health-related confounders, lower educational attainment was associated with shorter LTL among men (β=-0.05, 95% confidence interval (CI)=95%CI: -0.10, 0.00, P=0.03). In women, LTL was inversely associated with unmarried status (β=-0.05, 95%CI: -0.09, 0.00, P=0.03), lower father's educational attainment (β=-0.05, 95%CI: -0.13, 0.00, P=0.04), and childhood experience of food deprivation (β=-0.07, 95%CI: -0.13, 0.00, P=0.04). Our findings suggested that the association between SES markers and LTL differs according to sex. SES markers able to induce lifelong stress, reflected in LTL, appeared to be more related to individual factors in men, whereas in women they were family-related.
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Affiliation(s)
- P Normando
- Instituto de Nutrição, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brasil
| | - F F Bezerra
- Instituto de Nutrição, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brasil
| | - B A Santana
- Departamento de Imagens Médicas, Hematologia e Oncologia Clínica, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brasil
| | - R T Calado
- Departamento de Imagens Médicas, Hematologia e Oncologia Clínica, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brasil
| | - C B Santos-Rebouças
- Instituto de Biologia Roberto Alcantara Gomes, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brasil
| | - E S Epel
- University of California San Francisco, San Francisco, CA, USA
| | - E Faerstein
- Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brasil
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23
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Lee SH, Patel PC, Phan PH. Are the self-employed more stressed? New evidence on an old question. JOURNAL OF SMALL BUSINESS MANAGEMENT 2020. [DOI: 10.1080/00472778.2020.1796467] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Soo Hoon Lee
- Strome College of Business, Old Dominion University, USA
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24
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Cuevas AG, Greatorex-Voith S, Abuelezam N, Eckert N, Assari S. Educational mobility and telomere length in middle-aged and older adults: testing three alternative hypotheses. BIODEMOGRAPHY AND SOCIAL BIOLOGY 2020; 66:220-235. [PMID: 34583600 DOI: 10.1080/19485565.2021.1983760] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Critical period, social mobility, and social accumulation are three hypotheses that may explain how educational mobility impacts health. Thus far, there is little evidence on how these processes are associated with biological aging as measured by telomere length. Using cross-sectional data from the 2008 Health and Retirement Study, we examined the association between educational mobility (parental education and contemporaneous education) and telomere length. The final model is adjusted for sociodemographic factors and socioeconomic status, childhood adversity, and health behaviors/risk factors, as well as depressive symptoms. A total of 1,894 participants were included in the main analyses. High parental education was associated with longer telomere length in a fully adjusted model (B = 0.03, CI [0.002,0.07]). Downwardly mobile individuals (high parental education and low contemporaneous education) had longer telomere length compared to stably low individuals in a fully adjusted model (B = 0.05, CI [0.004,0.09]). There was support for the critical period hypothesis and partial support for the change hypothesis. There was no evidence to support the social accumulation hypothesis. Prospective studies are needed to understand the mechanism that can help further explain the association between educational mobility and telomere length.
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Affiliation(s)
- Adolfo G Cuevas
- Department of Community Health, Tufts University, Medford, MA
| | | | - Nadia Abuelezam
- Boston College William F. Connell School of Nursing, Chestnut Hill, Ma, USA
| | - Natalie Eckert
- Department of Community Health, Tufts University, Medford, MA
| | - Shervin Assari
- Department of Family Medicine, Charles R Drew University of Medicine and Science, Los Angeles, CA
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25
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Zhou Y, Hambly BD, Simmons D, McLachlan CS. Sex-specific educational attainment is associated with telomere length in an Australian rural population. QJM 2020; 113:469-473. [PMID: 32073638 DOI: 10.1093/qjmed/hcaa031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Revised: 01/18/2020] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND There is limited understanding on whether and how socioeconomic status (SES), particularly educational attainment and household income, impacts on telomere length in an Australian rural context. Additionally, it is unknown whether access to health services via the Australian public or private health system influences telomere length. AIM This study investigates whether there is a relationship between telomere length and SES indicators (income, education) as well as health insurance status in a rural Australian population. METHODS Samples were drawn from the Australian Rural Victoria cross-sectional Crossroads Study. Leucocyte telomere length (LTL) was measured using a multiplex quantitative polymerase chain reaction method. RESULTS Among 1424 participants, we did not find a significant main effect association with LTL across education, income level and health insurance. An exploratory finding was sex may influence the relationship between educational attainment and LTL (P = 0.021). In males, but not females, higher education was associated with longer LTL by 0.033 [95% confidence interval (CI) 0.002-0.063, P = 0.035]; in those with low education attainment, male participants had shorter LTL by 0.058 (95% CI -0.086 to -0.029) than female participants (P < 0.0001). CONCLUSION Being male and having lower education attainment was associated with shorter telomere length in our rural population. Evidence from our study supports the importance of education on LTL in males in rural Australia. Our studies also support previous findings that LTL in later life may not be closely associated with indicators of SES.
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Affiliation(s)
- Y Zhou
- Xiamen Cardiovascular Hospital, Xiamen University, 2999 Jinshan Road, Huli District, Xiamen 361016, China
- The School of Economics, Xiamen University, Xiangan South Road, Xiangan District, Xiamen 361102, China
| | - B D Hambly
- Discipline of Pathology and Bosch Institute, University of Sydney, Charles Perkins Centre, John Hopkins Drive, NSW 2006, Australia
| | - D Simmons
- Department of Rural Health, University of Melbourne, Level 2 West, Medical Building (181) Shepparton, VIC 3010, Australia
- School of Medicine, Western Sydney University, Locked Bag 1797, Campbelltown, NSW 2751, Australia
| | - C S McLachlan
- Health Vertical, Torrens University, 5/235 Pyrmont St, Pyrmont, NSW 2009, Australia
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26
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Martens DS, Janssen BG, Bijnens EM, Clemente DBP, Vineis P, Plusquin M, Nawrot TS. Association of Parental Socioeconomic Status and Newborn Telomere Length. JAMA Netw Open 2020; 3:e204057. [PMID: 32364595 PMCID: PMC7199116 DOI: 10.1001/jamanetworkopen.2020.4057] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
IMPORTANCE Low socioeconomic status is associated with higher all-cause mortality and risks for aging-related diseases. Biological aging is a potential process underlying health conditions related to social disadvantages, which may be present from birth onward. OBJECTIVE To evaluate the association of parental socioeconomic status with telomere length (TL) at birth, a marker of biological aging. DESIGN, SETTING, AND PARTICIPANTS This prospective birth cohort study was conducted among 1504 mother-newborn pairs in Belgium recruited between February 1, 2010, and July 1, 2017. EXPOSURES Parental socioeconomic measures, including maternal educational level, occupation, paternal educational level, and neighborhood income based on median annual household income. MAIN OUTCOMES AND MEASURES Mean relative TL was measured in cord blood and placental tissue. By constructing a principal component, an integrative socioeconomic measure was derived that integrates parental socioeconomic status and neighborhood income. Multivariable adjusted regression analyses were performed to associate the integrative socioeconomic measure and TL at birth. RESULTS In 1026 newborns (517 boys; mean [SD] gestational age, 39.2 [1.4] weeks), a higher socioeconomic status was associated with longer cord blood TL and placental TL. Each unit increment in the integrative socioeconomic status measure was associated with 2.1% (95% CI, 0.9%-3.4%; P < .001) longer cord blood TL in boys, while no association was observed for girls (0.5% longer cord blood TL; 95% CI, -0.9% to 1.8%; P = .50). The sex-specific socioeconomic status interaction revealed a stronger association in boys compared with newborn girls (1.6%; 95% CI, 0.02%-3.3%; P = .047 for interaction). In placental tissue, higher socioeconomic status was associated with 1.8% (95% CI, 0.3%-3.3%; P = .02) longer TL in newborn boys but not in girls (0.4% longer TL; 95% CI, -1.2% to 2.0%; P = .63). For placental tissue, no sex and socioeconomic status interaction on TL was observed (1.4%; 95% CI, -0.5% to 3.4%; P = .16 for interaction). CONCLUSIONS AND RELEVANCE This study suggests that parental socioeconomic status is associated with newborn TL, especially in boys. The results indicate that familial social economic factors are associated with the potential cellular longevity of the next generation, with a potential higher transgenerational vulnerability for newborn boys.
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Affiliation(s)
- Dries S. Martens
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Bram G. Janssen
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Esmée M. Bijnens
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | | | - Paolo Vineis
- Medical Research Council–Health Policy Agency, Centre for Environment and Health, Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Tim S. Nawrot
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
- Department of Public Health and Primary Care, Leuven University, Leuven, Belgium
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27
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Erusalimsky JD. Oxidative stress, telomeres and cellular senescence: What non-drug interventions might break the link? Free Radic Biol Med 2020; 150:87-95. [PMID: 32061901 DOI: 10.1016/j.freeradbiomed.2020.02.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 02/05/2020] [Accepted: 02/10/2020] [Indexed: 12/17/2022]
Abstract
Telomeres are higher order structures that cap and protect chromosome ends. Telomeric DNA naturally shortens during somatic cell division and as a result of oxidative stress. Excessive shortening disrupts the integrity of the telomere, causing cellular senescence, one of the hallmarks of organismal ageing. The accumulation of senescent cells with ageing contributes to the loss of tissue homeostasis and the development of age-related pathologies. Hence, counteracting telomere shortening may be one relevant approach to develop strategies for healthier ageing. In this review I present the case for the existence of a link between oxidative stress, accelerated telomere shortening and cellular senescence. I also examine findings from human observational studies exploring associations between telomere length and oxidative stress-related parameters. Finally, I discuss results from randomised control trials testing the impact of non-pharmacological lifestyle interventions on the maintenance of telomere length, considering the potential mechanisms that might be involved.
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Affiliation(s)
- Jorge D Erusalimsky
- The Cellular Senescence and Pathophysiology Group, Cardiff Metropolitan University, Llandaff Campus, Western Avenue, Cardiff, CF5 2YB, United Kingdom.
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28
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Borrell LN, Rodríguez-Álvarez E, Dallo FJ. Racial/ethnic inequities in the associations of allostatic load with all-cause and cardiovascular-specific mortality risk in U.S. adults. PLoS One 2020; 15:e0228336. [PMID: 32053626 PMCID: PMC7018050 DOI: 10.1371/journal.pone.0228336] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 01/13/2020] [Indexed: 11/19/2022] Open
Abstract
Non-Hispanic blacks have higher mortality rates than non-Hispanic whites whereas Hispanics have similar or lower mortality rates than non-Hispanic blacks and whites despite Hispanics' lower education and access to health insurance coverage. This study examines whether allostatic load, a proxy for cumulative biological risk, is associated with all-cause and cardiovascular (CVD)-specific mortality risks in US adults; and whether these associations vary with race/ethnicity and further with age, sex and education across racial/ethnic groups. Data from the third National Health and Nutritional Examination Survey (NHANES III, 1988-1994) and the 2015 Linked Mortality File were used for adults 25 years or older (n = 13,673 with 6,026 deaths). Cox proportional hazards regression was used to estimate the associations of allostatic load scores (2 and ≥3 relative to ≤1) with a) all-cause and b) CVD-specific mortality risk among NHANES III participants before and after controlling for selected characteristics. Allostatic load scores are associated with higher all-cause and CVD-specific mortality rates among U.S. adults aged 25 years or older, with stronger rates observed for CVD-specific mortality. All-cause mortality rates for each racial/ethnic group differed with age and education whereas for CVD-specific mortality rates, this difference was observed for sex. Our findings of high allostatic load scores associated with all-cause and CVD-specific mortality among US adults call attention to monitor conditions associated with the allostatic load's biomarkers to identify high-risk groups to help monitor social inequities in mortality risk, especially premature mortality.
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Affiliation(s)
- Luisa N. Borrell
- Department of Epidemiology & Biostatistics, Graduate School of Public Health & Health Policy, City University of New York, New York, New York, United States of America
- OPIK-Research Group for Social Determinants of Health and Demographic Change, University of the Basque Country (UPV/EHU), Bizkaia, Spain
- Department of Surgery, Medical and Social Science, University of Alcalá, Madrid, Spain
| | - Elena Rodríguez-Álvarez
- OPIK-Research Group for Social Determinants of Health and Demographic Change, University of the Basque Country (UPV/EHU), Bizkaia, Spain
- Department of Nursing I, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Bizkaia, Spain
| | - Florence J. Dallo
- Department of Public and Environmental Wellness, School of Health Sciences, Oakland University, Rochester, Michigan, United States of America
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29
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Padula AM, Monk C, Brennan PA, Borders A, Barrett ES, McEvoy C, Foss S, Desai P, Alshawabkeh A, Wurth R, Salafia C, Fichorova R, Varshavsky J, Kress A, Woodruff TJ, Morello-Frosch R. A review of maternal prenatal exposures to environmental chemicals and psychosocial stressors-implications for research on perinatal outcomes in the ECHO program. J Perinatol 2020; 40:10-24. [PMID: 31616048 PMCID: PMC6957228 DOI: 10.1038/s41372-019-0510-y] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 08/08/2019] [Accepted: 08/15/2019] [Indexed: 01/18/2023]
Abstract
Exposures to environmental chemicals and psychosocial stressors during pregnancy have been individually associated with adverse perinatal outcomes related to birthweight and gestational age, but are not often considered in combination. We review types of psychosocial stressors and instruments used to assess them and classes of environmental chemical exposures that are known to adversely impact perinatal outcomes, and identify studies relevant studies. We discuss the National Institutes of Health's Environmental influences on Child Health Outcomes (ECHO) program that has combined existing longitudinal cohorts that include more than 50,000 children across the U.S. We describe future opportunities for investigators to use this important new resource for addressing relevant and critical research questions to maternal health. Of the 84 cohorts in ECHO, 38 collected data on environmental chemicals and psychosocial stressors and perinatal outcomes. The diverse ECHO pregnancy cohorts provide capacity to compare regions with distinct place-based environmental and social stressors.
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Affiliation(s)
- Amy M. Padula
- University of California San Francisco, San Francisco, CA
USA
| | | | | | - Ann Borders
- North Shore University Health System, Evanston, IL,
USA
| | | | | | - Sophie Foss
- Columbia University Medical Center, New York, NY, USA
| | - Preeya Desai
- Columbia University Medical Center, New York, NY, USA
| | | | | | | | - Raina Fichorova
- Brigham and Women’s Hospital and Harvard Medical
School, Boston, MA, USA
| | | | - Amii Kress
- Johns Hopkins University, Baltimore, MD, USA
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30
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Hou J, Yin W, Li P, Hu C, Zhang Y, Wang X, Wang G, Gao E, Zhang J, Wang L, Li T, Wang L, Yu Z, Yuan J. Seasonal modification of the associations of exposure to polycyclic aromatic hydrocarbons or phthalates of cellular aging. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2019; 182:109384. [PMID: 31272023 DOI: 10.1016/j.ecoenv.2019.109384] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2019] [Revised: 06/04/2019] [Accepted: 06/24/2019] [Indexed: 05/06/2023]
Abstract
Exposure to polycyclic aromatic hydrocarbons (PAHs) and phthalates link to oxidative stress and inflammatory response, which exert cellular aging. However, modification effect of seasonal factor on the association of PAHs or phthalates exposure with relative telomere length (RTL) or mitochondrial DNA copy number (mtDNA-CN) has remained unclear. In this pilot study, 106 subjects were from an urban population (n = 1240) who lived in the two districts in Wuhan city, China. Participants completed physical examinations and provided 191 blood samples for RTL and mtDNA-CN analysis and 627 urine samples for monohydroxylated-PAHs (OH-PAHs) and phthalate metabolites measurements in the winter and summer seasons. We assessed the associations of urinary OH-PAHs or phthalates metabolites with RTL or mtDNA-CN by linear regression analysis and linear mixed-effect models. We found that urinary OH-PAHs were positively associated with mtDNA-CN at lag 2 day and 3-day moving average, but negatively related to RTL at lag 0, lag 1 and lag 2 day and 3-day moving average (p < 0.05). Urinary phthalate metabolites were negatively associated with mtDNA lag 0, lag 1 and lag 2 day and 3-day moving average, but positively related to RTL at lag 0 day (p < 0.05). Seasonal factor modified the association of urinary OH-PAHs with mtDNA-CN as well as urinary phthalate metabolites with RTL. In vitro experiment showed that under certain conditions, benzo[a]pyrene increased mtDNA-CN at 48 h and di (2-ethylhexyl) phthalate did RTL at 24 h in HepG2 cells. Seasonal variations in the metabolisms of PAHs or phthalates in human body may affect the relation of PAHs or phthalates exposure with cellular aging.
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Affiliation(s)
- Jian Hou
- Department of Occupational and Environmental Health, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, 430030, Hubei, PR China
| | - Wenjun Yin
- Department of Occupational and Environmental Health, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, 430030, Hubei, PR China
| | - Pei Li
- State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environment and Resources, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Chen Hu
- Department of Occupational and Environmental Health, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, 430030, Hubei, PR China
| | - Youjian Zhang
- Department of Occupational and Environmental Health, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, 430030, Hubei, PR China
| | - Xian Wang
- Department of Occupational and Environmental Health, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, 430030, Hubei, PR China
| | - Guiyang Wang
- Department of Occupational and Environmental Health, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, 430030, Hubei, PR China
| | - Erwei Gao
- Department of Occupational and Environmental Health, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, 430030, Hubei, PR China
| | - Jiafei Zhang
- Department of Occupational and Environmental Health, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, 430030, Hubei, PR China
| | - Lu Wang
- Department of Occupational and Environmental Health, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, 430030, Hubei, PR China
| | - Tian Li
- Department of Occupational and Environmental Health, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, 430030, Hubei, PR China
| | - Lin Wang
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, 430030, Hubei, PR China
| | - Zhiqiang Yu
- State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environment and Resources, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Jing Yuan
- Department of Occupational and Environmental Health, PR China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, 430030, Hubei, PR China.
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Leibel DK, Shaked D, Beatty Moody DL, Liu HB, Weng NP, Evans MK, Zonderman AB, Waldstein SR. Telomere length and cognitive function: Differential patterns across sociodemographic groups. Neuropsychology 2019; 34:186-198. [PMID: 31613132 DOI: 10.1037/neu0000601] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE The present study investigates whether associations between telomere length (TL) and cognitive performance across multiple domains are moderated by poverty status and race. METHOD Participants were 325 African American and White urban-dwelling adults (M age = 47.9 years; 49.5% African American; 50.2% female; 48.9% living in poverty) from the Healthy Aging in Neighborhoods of Diversity across the Life Span study. TL was assayed from peripheral blood mononuclear cells using quantitative polymerase chain reactions. Multivariable regression analyses examined interactions of TL, poverty status, and race with performance on the following cognitive tests: Trail-Making Test Parts A and B, Digit Span Forward and Backward, semantic verbal fluency, Brief Test of Attention, Benton Visual Retention Test (BVRT), and California Verbal Learning Test-II total learning, short-delay free recall, and long-delay free recall scores. Analyses adjusted for age, sex, and high school-or-greater educational attainment. RESULTS Significant three-way interactions of TL × Poverty Status × Race revealed that, among White participants living in poverty, shorter TL was associated with worse performance on Digit Span Forward and Backward (ps<.05). Additionally, significant two-way interactions of TL × Poverty Status revealed that, among all participants living in poverty, shorter TL was associated with worse performance on the Trail-Making Test Part B and the BVRT (ps<.05). CONCLUSIONS TL may be differentially associated with aspects of attention, executive functioning, and memory among individuals living in poverty, who may be uniquely vulnerable to adverse effects of shorter telomeres. Replication of these findings is needed to determine their generalizability. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
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Affiliation(s)
| | | | | | - Hans B Liu
- Johns Hopkins Bloomberg School of Public Health
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Farrukh S, Baig S, Hussain R, Shahid A, Khan ST. Telomere reprogramming during fetal life in low socioeconomic mothers. EGYPTIAN JOURNAL OF MEDICAL HUMAN GENETICS 2019. [DOI: 10.1186/s43042-019-0007-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
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Abstract
Telomeres are specialised structures at the end of linear chromosomes. They consist of tandem repeats of the hexanucleotide sequence TTAGGG, as well as a protein complex called shelterin. Together, they form a protective loop structure against chromosome fusion and degradation. Shortening or damage to telomeres and opening of the loop induce an uncapped state that triggers a DNA damage response resulting in senescence or apoptosis.Average telomere length, usually measured in human blood lymphocytes, was thought to be a biomarker for ageing, survival and mortality. However, it becomes obvious that regulation of telomere length is very complex and involves multiple processes. For example, the "end replication problem" during DNA replication as well as oxidative stress are responsible for the shortening of telomeres. In contrast, telomerase activity can potentially counteract telomere shortening when it is able to access and interact with telomeres. However, while highly active during development and in cancer cells, the enzyme is down-regulated in most human somatic cells with a few exceptions such as human lymphocytes. In addition, telomeres can be transcribed, and the transcription products called TERRA are involved in telomere length regulation.Thus, telomere length and their integrity are regulated at many different levels, and we only start to understand this process under conditions of increased oxidative stress, inflammation and during diseases as well as the ageing process.This chapter aims to describe our current state of knowledge on telomeres and telomerase and their regulation in order to better understand their role for the ageing process.
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Stevenson JR, McMahon EK, Boner W, Haussmann MF. Oxytocin administration prevents cellular aging caused by social isolation. Psychoneuroendocrinology 2019; 103:52-60. [PMID: 30640038 PMCID: PMC7476076 DOI: 10.1016/j.psyneuen.2019.01.006] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 12/26/2018] [Accepted: 01/07/2019] [Indexed: 01/26/2023]
Abstract
Chronic stressors, such as chronic isolation in social mammals, can elevate glucocorticoids, which can affect cellular mechanisms of aging, including increased levels of oxidative stress and shortened telomere lengths. Recent work in the selectively social prairie vole (Microtus ochrogaster) suggests that oxytocin and social support may mitigate some of the negative consequences of social isolation, possibly by reducing glucocorticoid levels. We investigated the influences of isolation, social support, and daily oxytocin injections in female prairie voles. Glucocorticoid levels, oxidative damage, telomere length, and anhedonia, a behavioral index of depression, were measured throughout the study. We found that six weeks of chronic isolation led to increased glucocorticoid levels, oxidative damage, telomere degradation and anhedonia. However, daily oxytocin injections in isolated voles prevented these negative consequences. These findings demonstrate that chronic social isolation in female prairie voles is a potent stressor that results in depression-like behavior and accelerated cellular aging. Importantly, oxytocin can completely prevent the negative consequences of social isolation.
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Affiliation(s)
- Jennie R. Stevenson
- Department of Psychology, Bucknell University, Lewisburg, PA, USA,Corresponding author at: 215 O’Leary Center, 1 Dent Drive, Bucknell University, Lewisburg, PA, 17837, United States. (J.R. Stevenson)
| | | | - Winnie Boner
- Institute of Biodiversity Animal Health and Comparative Medicine, University of Glasgow, Scotland, United Kingdom
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Sealy-Jefferson S, Misra DP. Neighborhood Tax Foreclosures, Educational Attainment, and Preterm Birth among Urban African American Women. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E904. [PMID: 30871154 PMCID: PMC6466185 DOI: 10.3390/ijerph16060904] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 03/01/2019] [Accepted: 03/09/2019] [Indexed: 12/03/2022]
Abstract
Ecological evidence suggests that neighborhoods with more tax foreclosures also have more adverse birth outcomes. However, whether neighborhood-level tax foreclosures impact individual-level risk for adverse birth outcomes is unknown. We assessed whether living in a neighborhood with high tax foreclosures is associated with a woman's preterm birth (PTB) risk and tested for effect modification by educational attainment, among urban African American women from the Life Influence on Fetal Environments Study (2009⁻2011; n = 686). We linked survey and medical record data to archival, block-group level tax foreclosure data from the county treasurer. We used Modified Poisson regression with robust error variance and included a foreclosure X education interaction in adjusted models. In the overall sample, neighborhood tax foreclosures did not predict PTB (adjusted relative risk: 0.93, CI: 0.74, 1.16), but the association was modified by educational attainment (interaction p = 0.01). Among women with lower education (n = 227), neighborhood tax foreclosures did not predict PTB risk. The association for women with higher education (n = 401) was statistically significant for a reduction in risk for PTB (adjusted relative risk: 0.74, CI: 0.55, 0.98) among those who lived in neighborhoods with high versus low tax foreclosures. Future studies should seek to identify the mechanisms of this association.
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Affiliation(s)
- Shawnita Sealy-Jefferson
- College of Public Health, Division of Epidemiology, The Ohio State University, Columbus, OH 43210, USA.
| | - Dawn P Misra
- Department of Family Medicine and Public Health Sciences, Wayne State University School of Medicine, Detroit, MI 48202, USA.
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Willis M, Reid SN, Calvo E, Staudinger UM, Factor-Litvak P. A scoping systematic review of social stressors and various measures of telomere length across the life course. Ageing Res Rev 2018; 47:89-104. [PMID: 30048807 PMCID: PMC6195444 DOI: 10.1016/j.arr.2018.07.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 07/10/2018] [Accepted: 07/18/2018] [Indexed: 12/20/2022]
Abstract
Numerous studies examine the relationship between social stressors and telomere length (TL). Beyond considering methods and major findings, this scoping systematic review takes a novel approach as it groups studies according to the types of social stressor considered and by age groups. Following PRISMA guidelines, we searched PubMed, Web of Science, Embase, and Scopus. We included all English-language human subject research articles that modeled any measure of TL as a dependent variable and exposure to a social stressor as an independent variable. For the sample of 105 articles, we summarized methods and findings by type of social stressor (socioeconomic stressors, stressful life events, work-related stressors, and neighborhood stressors) and by age of the study population (infants/children, middle-aged adults, older adults, and mixed samples of middle-aged and older adults). We found more variation in TL measurement methodology in studies of infants/children and older adults than in studies focusing on middle-aged adults. The most consistent finding was a relationship between early-life stressors and shorter TL. Work and neighborhood stressors, and older populations, are currently understudied. Across all stressors, limited evidence suggests that the stress-TL relationship may be moderated by characteristics such as age, sex, and race/ethnicity. We conclude with specific suggestions for future research.
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Affiliation(s)
- Margaret Willis
- Department of Epidemiology, Mailman School of Public Health, Columbia University, United States.
| | - Shaina N Reid
- Department of Epidemiology, Mailman School of Public Health, Columbia University, United States
| | - Esteban Calvo
- Department of Epidemiology, Mailman School of Public Health, Columbia University, United States; Robert N. Butler Columbia Aging Center, Columbia University, United States; Society and Health Research Center, Facultad de Humanidades, Universidad Mayor, Chile; Laboratory on Aging and Social Epidemiology, Universidad Mayor, Chile
| | - Ursula M Staudinger
- Robert N. Butler Columbia Aging Center, Columbia University, United States; Department of Sociomedical Sciences, Mailman School of Public Health, Columbia University, United States
| | - Pam Factor-Litvak
- Department of Epidemiology, Mailman School of Public Health, Columbia University, United States
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Fujishiro K, Needham BL, Landsbergis PA, Seeman T, Jenny NS, Diez Roux AV. Selected occupational characteristics and change in leukocyte telomere length over 10 years: The Multi-Ethnic Study of Atherosclerosis (MESA). PLoS One 2018; 13:e0204704. [PMID: 30261026 PMCID: PMC6160145 DOI: 10.1371/journal.pone.0204704] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Accepted: 09/12/2018] [Indexed: 11/18/2022] Open
Abstract
Telomere length (TL) is considered as a marker of cell senescence, but factors influencing the rate of TL attrition are not well understood. While one previous study reported the association of occupation and TL, many subsequent studies have failed to find the association. This may be due to heterogeneity within the samples and cross-sectional designs. This longitudinal study examines two occupational characteristics, occupational complexity and hazardous conditions, as predictors of TL attrition in gender- and race/ethnicity-stratified analysis. Leukocyte TL (expressed as T/S ratio) was measured twice over a 10-year period in a multi-racial sample (n = 914). Linear mixed effect models were used to estimate TL attrition associated with occupational complexity and hazardous conditions. Analysis was stratified by gender and race/ethnicity (white, African American, and Latino) and controlled for baseline age, baseline TL, and time since baseline. Higher occupational complexity was associated with slower rates of TL attrition only among white men. Hazardous conditions were not associated with TL attrition for any gender-and-race/ethnicity stratified group. Occupational complexity may influence TL attrition, but the different findings for white men and other groups suggest that a more comprehensive framework is needed to better understand the potential link between occupational characteristics and biological aging.
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Affiliation(s)
- Kaori Fujishiro
- Division of Surveillance, Hazard Evaluations, and Field Studies, National Institute for Occupational Safety and Health, Cincinnati, Ohio, United States of America
- * E-mail:
| | - Belinda L. Needham
- Department of Epidemiology and Center for Social Epidemiology and Population Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Paul A. Landsbergis
- Department of Environmental and Occupational Health Sciences, State University of New York Downstate Medical Center, Brooklyn, New York, United States of America
| | - Teresa Seeman
- Department of Medicine, University of California Los Angeles, Los Angeles, California, United States of America
| | - Nancy Swords Jenny
- Department of Pathology, University of Vermont, Burlington, Vermont, United States of America
| | - Ana V. Diez Roux
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, United States of America
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Enlow MB, Bollati V, Sideridis G, Flom JD, Hoxha M, Hacker M, Wright RJ. Sex differences in effects of maternal risk and protective factors in childhood and pregnancy on newborn telomere length. Psychoneuroendocrinology 2018; 95:74-85. [PMID: 29803183 PMCID: PMC6109592 DOI: 10.1016/j.psyneuen.2018.05.025] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Revised: 04/28/2018] [Accepted: 05/16/2018] [Indexed: 02/08/2023]
Abstract
Little research has examined determinants of newborn telomere length, a potential biomarker of lifetime disease risk impacted by prenatal exposures. No study has examined whether maternal exposures in childhood influence newborn telomere length or whether there are sex differences in the maternal factors that influence newborn telomere length. We tested whether a range of maternal risk and protective factors in childhood and pregnancy were associated with newborn telomere length among 151 sociodemographically diverse mother-infant dyads. We further examined whether the pattern of associations differed by infant sex. Newborn telomere length was assessed from cord blood collected at birth. Risk/protective factors included maternal health (smoking, body mass index), socioeconomic status (education, income), stress exposures, and mental health (depressive and posttraumatic stress disorder symptoms) in pregnancy as well as maternal experiences of abuse (physical, emotional, sexual) and familial emotional support in childhood. When examined within the whole sample, only maternal smoking in pregnancy and familial emotional support in childhood emerged as significant predictors of newborn telomere length. Male and female newborns differed in their pattern of associations between the predictors and telomere length. Among males, maternal smoking, higher body mass index, and elevated depressive symptoms in pregnancy and maternal sexual abuse in childhood were associated with shorter newborn telomere length; higher maternal educational attainment and household income in pregnancy and greater maternal familial emotional support in childhood were associated with longer newborn telomere length. Together, these factors accounted for 34% of the variance in male newborn telomere length. None of the risk/protective factors were associated with female newborn telomere length. The results suggest that male fetuses are particularly susceptible to maternal exposure effects on newborn telomere length. These findings have implications for elucidating mechanisms contributing to sex disparities in health.
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Affiliation(s)
- Michelle Bosquet Enlow
- Department of Psychiatry, Boston Children’s Hospital, 300 Longwood Ave, AT-120.3, Mailstop BCH 3199, Boston, MA 02115, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Valentina Bollati
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, via San Barnaba 8, 20122, Milan, Italy
| | - Georgios Sideridis
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA,Institutional Centers for Clinical and Translational Research, Boston Children’s Hospital, 300 Longwood Ave, AT-210.3, Mailstop BCH 3200, Boston, MA 02115, USA
| | - Julie D. Flom
- Department of Pediatrics, Kravis Children’s Hospital, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1198, New York City, NY 10029, USA
| | - Mirjam Hoxha
- Department of Clinical Sciences and Community Health, Università degli Studi di Milano, via San Barnaba 8, 20122, Milan, Italy
| | - Michele Hacker
- Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, KS3, Boston, MA 02215, USA,Department of Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, MA, USA
| | - Rosalind J. Wright
- Department of Pediatrics, Kravis Children’s Hospital, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1198, New York City, NY 10029, USA,Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
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Effect of a 12-month exercise intervention on leukocyte telomere length: Results from the ALPHA Trial. Cancer Epidemiol 2018; 56:67-74. [PMID: 30075329 DOI: 10.1016/j.canep.2018.07.012] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Revised: 07/19/2018] [Accepted: 07/20/2018] [Indexed: 11/21/2022]
Abstract
BACKGROUND Short telomeres may indicate a higher risk of cancer and other chronic diseases. Some observational studies show positive associations between leukocyte telomere length (LTL) and physical activity levels. We hypothesized, therefore, that exercise may be one strategy for slowing telomere attrition. METHODS We conducted an ancillary analysis of blood from a year-long, two-centred, two-armed (1:1) randomized controlled trial of aerobic exercise versus usual inactivity. The analysis included 212 physically inactive, disease-free, non-smoking, postmenopausal women (n = 99 exercisers, n = 113 controls) in Alberta, Canada (2003-2006). The exercise prescription was aerobic exercise five days/week (supervised three days/week), 45 min/session, achieving 70-80% heart rate reserve. Baseline and 12-month LTL were analyzed using quantitative real-time polymerase chain reactions (qPCR). The primary statistical analysis was intention-to-treat, comparing the ratio of mean LTLs (12-months:baseline) for exercisers versus controls from a general linear model. Secondary analyses included a per-protocol analysis (≥90% adherence) and analyses stratified by baseline LTL, age, body mass index, and fitness level, respectively. RESULTS Participants were overweight at baseline (mean BMI = 29 kg/m2). The primary analysis showed no evidence that LTL change differed between groups (12-month mean LTL change for the exercise group: -13% (95% CI: -32%, 11%) versus controls: -8% (95%CI: -27%, 15%); treatment effect ratio (TER, Exercise/Control) = 0.95 (95% CI: 0.68, 1.32). Per-protocol results were similar (TER = 0.87, 95% CI: 0.59, 1.30). In stratified models, TERs ranged from 0.68 to 1.35 across strata and P-interaction > 0.05). CONCLUSION We found no evidence to suggest that one year of aerobic exercise alters telomere attrition significantly in healthy postmenopausal women.
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Entringer S, de Punder K, Buss C, Wadhwa PD. The fetal programming of telomere biology hypothesis: an update. Philos Trans R Soc Lond B Biol Sci 2018; 373:20170151. [PMID: 29335381 PMCID: PMC5784074 DOI: 10.1098/rstb.2017.0151] [Citation(s) in RCA: 127] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/26/2017] [Indexed: 12/17/2022] Open
Abstract
Research on mechanisms underlying fetal programming of health and disease risk has focused primarily on processes that are specific to cell types, organs or phenotypes of interest. However, the observation that developmental conditions concomitantly influence a diverse set of phenotypes, the majority of which are implicated in age-related disorders, raises the possibility that such developmental conditions may additionally exert effects via a common underlying mechanism that involves cellular/molecular ageing-related processes. In this context, we submit that telomere biology represents a process of particular interest in humans because, firstly, this system represents among the most salient antecedent cellular phenotypes for common age-related disorders; secondly, its initial (newborn) setting appears to be particularly important for its long-term effects; and thirdly, its initial setting appears to be plastic and under developmental regulation. We propose that the effects of suboptimal intrauterine conditions on the initial setting of telomere length and telomerase expression/activity capacity may be mediated by the programming actions of stress-related maternal-placental-fetal oxidative, immune, endocrine and metabolic pathways in a manner that may ultimately accelerate cellular dysfunction, ageing and disease susceptibility over the lifespan. This perspectives paper provides an overview of each of the elements underlying this hypothesis, with an emphasis on recent developments, findings and future directions.This article is part of the theme issue 'Understanding diversity in telomere dynamics'.
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Affiliation(s)
- Sonja Entringer
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Institute of Medical Psychology, Berlin, Germany
- Department of Pediatrics, University of California, School of Medicine, Irvine, CA, USA
- Development, Health and Disease Research Program, University of California, School of Medicine, Irvine, CA, USA
| | - Karin de Punder
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Institute of Medical Psychology, Berlin, Germany
| | - Claudia Buss
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health (BIH), Institute of Medical Psychology, Berlin, Germany
- Department of Pediatrics, University of California, School of Medicine, Irvine, CA, USA
- Development, Health and Disease Research Program, University of California, School of Medicine, Irvine, CA, USA
| | - Pathik D Wadhwa
- Department of Psychiatry and Human Behavior, University of California, School of Medicine, Irvine, CA, USA
- Department of Obstetrics and Gynecology, University of California, School of Medicine, Irvine, CA, USA
- Department of Pediatrics, University of California, School of Medicine, Irvine, CA, USA
- Department of Epidemiology, University of California, School of Medicine, Irvine, CA, USA
- Development, Health and Disease Research Program, University of California, School of Medicine, Irvine, CA, USA
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Rajeevan MS, Murray J, Oakley L, Lin JMS, Unger ER. Association of chronic fatigue syndrome with premature telomere attrition. J Transl Med 2018; 16:44. [PMID: 29486769 PMCID: PMC5830066 DOI: 10.1186/s12967-018-1414-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Accepted: 02/16/2018] [Indexed: 12/21/2022] Open
Abstract
Background Chronic fatigue syndrome (CFS), also known as myalgic encephalomyelitis (ME), is a severely debilitating condition of unknown etiology. The symptoms and risk factors of ME/CFS share features of accelerated aging implicated in several diseases. Using telomere length as a marker, this study was performed to test the hypothesis that ME/CFS is associated with accelerated aging. Methods Participant (n = 639) data came from the follow-up time point of the Georgia CFS surveillance study. Using the 1994 CFS Research Case Definition with questionnaire-based subscale thresholds for fatigue, function, and symptoms, participants were classified into four illness groups: CFS if all criteria were met (n = 64), CFS-X if CFS with exclusionary conditions (n = 77), ISF (insufficient symptoms/fatigue) if only some criteria were met regardless of exclusionary conditions (n = 302), and NF (non-fatigued) if no criteria and no exclusionary conditions (n = 196). Relative telomere length (T/S ratio) was measured using DNA from whole blood and real-time PCR. General linear models were used to estimate the association of illness groups or T/S ratio with demographics, biological measures and covariates with significance set at p < 0.05. Results The mean T/S ratio differed significantly by illness group (p = 0.0017); the T/S ratios in CFS (0.90 ± 0.03) and ISF (0.94 ± 0.02) were each significantly lower than in NF (1.06 ± 0.04). Differences in T/S ratio by illness groups remained significant after adjustment for covariates of age, sex, body mass index, waist–hip ratio, post-exertional malaise and education attainment. Telomere length was shorter by 635, 254 and 424 base pairs in CFS, CFS-X and ISF, respectively, compared to NF. This shorter telomere length translates to roughly 10.1–20.5, 4.0–8.2 and 6.6–13.7 years of additional aging in CFS, CFS-X and ISF compared to NF respectively. Further, stratified analyses based on age and sex demonstrated that the association of ME/CFS with short telomeres is largely moderated by female subjects < 45 years old. Conclusions This study found a significant association of ME/CFS with premature telomere attrition that is largely moderated by female subjects < 45 years old. Our results indicate that ME/CFS could be included in the list of conditions associated with accelerated aging. Further work is needed to evaluate the functional significance of accelerated aging in ME/CFS. Electronic supplementary material The online version of this article (10.1186/s12967-018-1414-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Mangalathu S Rajeevan
- Division of High-Consequence Pathogens & Pathology, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, 30329, USA.
| | - Janna Murray
- Division of High-Consequence Pathogens & Pathology, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, 30329, USA.,Influenza Division, Centers for Disease Control and Prevention, Atlanta, USA
| | - Lisa Oakley
- Division of High-Consequence Pathogens & Pathology, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, 30329, USA.,College of Public Health and Human Services, Oregon State University, Corvallis, USA
| | - Jin-Mann S Lin
- Division of High-Consequence Pathogens & Pathology, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, 30329, USA
| | - Elizabeth R Unger
- Division of High-Consequence Pathogens & Pathology, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, 30329, USA
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Martens DS, Nawrot TS. Air Pollution Stress and the Aging Phenotype: The Telomere Connection. Curr Environ Health Rep 2018; 3:258-69. [PMID: 27357566 DOI: 10.1007/s40572-016-0098-8] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Aging is a complex physiological phenomenon. The question why some subjects grow old while remaining free from disease whereas others prematurely die remains largely unanswered. We focus here on the role of air pollution in biological aging. Hallmarks of aging can be grouped into three main categories: genomic instability, telomere attrition, and epigenetic alterations leading to altered mitochondrial function and cellular senescence. At birth, the initial telomere length of a person is largely determined by environmental factors. Telomere length shortens with each cell division and exposure to air pollution as well as low residential greens space exposure is associated with shorter telomere length. Recent studies show that the estimated effects of particulate air pollution exposure on the telomere mitochondrial axis of aging may play an important role in chronic health effects of air pollution. The exposome encompasses all exposures over an entire life. As telomeres can be considered as the cellular memories of exposure to oxidative stress and inflammation, telomere maintenance may be a proxy for assessing the "exposome". If telomeres are causally related to the aging phenotype and environmental air pollution is an important determinant of telomere length, this might provide new avenues for future preventive strategies.
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Affiliation(s)
- Dries S Martens
- Centre for Environmental Sciences, Hasselt University, 3500, Hasselt, Belgium
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, 3500, Hasselt, Belgium. .,Department of Public Health & Primary Care, Leuven University, 3000, Leuven, Belgium.
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The effect of trauma and PTSD on telomere length: An exploratory study in people exposed to combat trauma. Sci Rep 2017; 7:4375. [PMID: 28663541 PMCID: PMC5491524 DOI: 10.1038/s41598-017-04682-w] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Accepted: 05/18/2017] [Indexed: 01/30/2023] Open
Abstract
Telomere length has been suggested to be a cellular marker for age-related diseases as well as psychosocial stress. The present study investigated whether telomere length is associated with post-traumatic stress disorder (PTSD) among veterans exposed to combat trauma in the Vietnam War. The potentially associated factors on cellular aging were considered. Korean male veterans with (n = 122) and without (n = 120) PTSD were included and leukocyte telomere length was measured with a quantitative PCR-based technique. As a whole, no significant difference in telomere length was found between PTSD and non-PTSD groups. In linear regression analysis stratified by trauma levels, among veterans exposed to severe combat (n = 45), PTSD status (B = -1.176, t = -2.259, p = 0.029), antidepressant use (B = 0.168, t = 2.528, p = 0.015), and education level (B = 0.019, t = 2.369, p = 0.023) affected telomere length. However, among veterans with light-to-moderate combat exposure (n = 197), only age (B = -0.007, t = -2.434, p = 0.016) and education level (B = 0.010, t = 2.295, p = 0.023) were associated with telomere length. In the Post-hoc analysis, antidepressant use was associated with longer telomere length in subjects exposed to severe combat. Our exploratory results suggest that PTSD status in combination with severe trauma may be associated with accelerated telomere shortening, and that antidepressant use may have a protective effect on telomere dynamics.
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McDonnell BJ, Yasmin, Butcher L, Cockcroft JR, Wilkinson IB, Erusalimsky JD, McEniery CM. The age-dependent association between aortic pulse wave velocity and telomere length. J Physiol 2017; 595:1627-1635. [PMID: 28247509 PMCID: PMC5330867 DOI: 10.1113/jp273689] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Accepted: 11/28/2016] [Indexed: 12/20/2022] Open
Abstract
Key points Age significantly modifies the relationship between aortic pulse wave velocity and telomere length. The differential relationships observed between aortic pulse wave velocity and telomere length in younger and older individuals suggest that the links between cellular and vascular ageing reflect a complex interaction between genetic and environmental factors acting over the life‐course.
Abstract Ageing is associated with marked large artery stiffening. Telomere shortening, a marker of cellular ageing, is linked with arterial stiffening. However, the results of existing studies are inconsistent, possibly because of the confounding influence of variable exposure to cardiovascular risk factors. Therefore, we investigated the relationship between telomere length (TL) and aortic stiffness in well‐characterized, younger and older healthy adults, who were pre‐selected on the basis of having either low or high aortic pulse wave velocity (aPWV), a robust measure of aortic stiffness. Demographic, haemodynamic and biochemical data were drawn from participants in the Anglo‐Cardiff Collaborative Trial. Two age groups with an equal sex ratio were examined: those aged <30 years (younger) or >50 years (older). Separately for each age group and sex, DNA samples representing the highest (n = 125) and lowest (n = 125) extremes of aPWV (adjusted for blood pressure) were selected for analysis of leukocyte TL. Ultimately, this yielded complete phenotypic data on 904 individuals. In younger subjects, TL was significantly shorter in those with high aPWV vs. those with low aPWV (P = 0.017). By contrast, in older subjects, TL was significantly longer in those with high aPWV (P = 0.001). Age significantly modified the relationship between aPWV and TL (P < 0.001). Differential relationships are observed between aPWV and TL, with an inverse association in younger individuals and a positive association in older individuals. The links between cellular and vascular ageing reflect a complex interaction between genetic and environmental factors acting over the life‐course. Age significantly modifies the relationship between aortic pulse wave velocity and telomere length. The differential relationships observed between aortic pulse wave velocity and telomere length in younger and older individuals suggest that the links between cellular and vascular ageing reflect a complex interaction between genetic and environmental factors acting over the life‐course.
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Affiliation(s)
- Barry J McDonnell
- Cardiff School of Health Sciences, Cardiff Metropolitan University, Cardiff, UK
| | - Yasmin
- Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, Cambridge, UK
| | - Lee Butcher
- Cardiff School of Health Sciences, Cardiff Metropolitan University, Cardiff, UK
| | - John R Cockcroft
- Division of Cardiology, New York-Presbyterian Hospital, Columbia University, New York, NY, USA
| | - Ian B Wilkinson
- Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, Cambridge, UK
| | - Jorge D Erusalimsky
- Cardiff School of Health Sciences, Cardiff Metropolitan University, Cardiff, UK
| | - Carmel M McEniery
- Division of Experimental Medicine & Immunotherapeutics, University of Cambridge, Cambridge, UK
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Abstract
OBJECTIVE To examine the association between depressive symptoms and salivary telomere length in a probability sample of middle-aged and older adults, and to evaluate age and sex as potential moderators of this association and test whether this association was incremental to potential confounds. METHODS Participants were 3,609 individuals from the 2008 wave of the Health and Retirement Study. Telomere length assays were performed using quantitative real-time polymerase chain reaction on DNA extracted from saliva samples. Depressive symptoms were assessed via interview, and health and lifestyle factors, traumatic life events, and neuroticism were assessed via self-report. Regression analyses were conducted to examine the associations between predictor variables and salivary telomere length. RESULTS After adjusting for demographics, depressive symptoms were negatively associated with salivary telomere length (b = -.003; p = .014). Furthermore, this association was moderated by sex (b = .005; p = .011), such that depressive symptoms were significantly and negatively associated with salivary telomere length for men (b = - .006; p < .001) but not for women (b = - .001; p = .644). The negative association between depressive symptoms and salivary telomere length in men remained statistically significant after additionally adjusting for cigarette smoking, body mass index, chronic health conditions, childhood and lifetime exposure to traumatic life events, and neuroticism. CONCLUSIONS Higher levels of depressive symptoms were associated with shorter salivary telomeres in men, and this association was incremental to several potential confounds. Shortened telomeres may help account for the association between depression and poor physical health and mortality.
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Kasielski M, Eusebio MO, Pietruczuk M, Nowak D. The relationship between peripheral blood mononuclear cells telomere length and diet - unexpected effect of red meat. Nutr J 2016; 15:68. [PMID: 27418163 PMCID: PMC4944490 DOI: 10.1186/s12937-016-0189-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2016] [Accepted: 07/06/2016] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Repeated nucleotide sequences combined with proteins called telomeres cover chromosome ends and dictate cells lifespan. Many factors can modify telomere length, among them are: nutrition and smoking habits, physical activities and socioeconomic status measured by education level. The aim of the study was to determine the influence of above mentioned factors on peripheral blood mononuclear cells telomere length. METHODS Study included 28 subjects (seven male and 21 female, age 18-65 years.), smokers and non-smokers without any serious health problems in past and present. Following a basic medical examination, patients completed the food frequency questionnaire with 17 foods and beverages most common groups and gave blood for testing. PBMC telomere length were measured with qualitative real-time Polymerase Chain Reaction (rtPCR) method and expressed as a T/S ratio. RESULTS Among nine food types (cereal, fruits, vegetables, diary, red meat, poultry, fish, sweets and salty snacks) and eight beverages (juices, coffee, tea, mineral water, alcoholic- and sweetened carbonated beverages) only intake of red meat was related to T/S ratio. Individuals with increased consumption of red meat have had higher T/S ratio and the strongest significant differences were observed between consumer groups: "never" and "1-2 daily" (p = 0.02). Smoking habits, physical activity, LDL and HDL concentrations, and education level were not related to telomere length, directly or as a covariates. CONCLUSIONS Unexpected correlation of telomere length with the frequency of consumption of red meat indicates the need for further in-depth research and may undermine some accepted concepts of adverse effects of this diet on the health status and life longevity.
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Affiliation(s)
- Marek Kasielski
- Bases of Clinical Medicine Teaching Center, Medical University of Lodz, Kopcinskiego Street 20, 90-153, Lodz, Poland.
| | - Makandjou-Ola Eusebio
- Department of Laboratory Diagnostics, II Department of Internal Medicine, Medical University of Lodz, Kopcinskiego Street 22, 90-153, Lodz, Poland
| | - Mirosława Pietruczuk
- Department of Laboratory Diagnostics, II Department of Internal Medicine, Medical University of Lodz, Kopcinskiego Street 22, 90-153, Lodz, Poland
| | - Dariusz Nowak
- Department of Clinical Physiology, Medical University of Lodz, Mazowiecka Street 6/8, 92-215, Lodz, Poland
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Ahrens KA, Rossen LM, Simon AE. Relationship Between Mean Leucocyte Telomere Length and Measures of Allostatic Load in US Reproductive-Aged Women, NHANES 1999-2002. Paediatr Perinat Epidemiol 2016; 30:325-35. [PMID: 26854139 PMCID: PMC6697084 DOI: 10.1111/ppe.12277] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND Reproductive health disparities may be partly explained by the cumulative effects of chronic stress experienced by socially disadvantaged groups. Although, telomere length (TL) and allostatic load score have each been used as biological markers of stress, the relationship between these two measures is unknown. METHODS We investigated the association between leucocyte TL and allostatic load score in 1503 non-pregnant women (20-44 years) participating in the National Health and Nutrition Examination Survey, 1999-2002. We constructed six different allostatic load scores using either quartile- or clinical-based cut-points for 14 biomarkers based on previously published methods. We estimated associations between TL and allostatic load scores and component biomarkers using linear regression, also assessing interactions by race/ethnicity. RESULTS After adjustment for age, longer TL was associated with higher HDL cholesterol and lower C-reactive protein and creatinine clearance; TL was not associated with the other component biomarkers. Shorter TL was associated with higher allostatic load scores for the two clinical cut-point-based scores after adjustment for age, but not the four scores based on quartile cut-points. Significant interactions by race/ethnicity were observed for TL and HbA1c and triglycerides, but not for other component biomarkers or allostatic load scores. CONCLUSIONS Although TL and allostatic load score are both considered measures of cumulative stress, most component biomarkers and scores using quartile-based cut-points were not associated with TL. In reproductive-aged women, allostatic load scores using clinical-based cut-points were more strongly associated with TL compared with quartile-based scores.
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Affiliation(s)
- Katherine A. Ahrens
- National Center for Health Statistics; Centers for Disease Control and Prevention; Office of Analysis & Epidemiology; Infant, Child & Women's Health Statistics Branch; Hyattsville MD
| | - Lauren M. Rossen
- National Center for Health Statistics; Centers for Disease Control and Prevention; Office of Analysis & Epidemiology; Infant, Child & Women's Health Statistics Branch; Hyattsville MD
| | - Alan E. Simon
- National Center for Health Statistics; Centers for Disease Control and Prevention; Office of Analysis & Epidemiology; Infant, Child & Women's Health Statistics Branch; Hyattsville MD
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Whisman MA, Robustelli BL, Sbarra DA. Marital disruption is associated with shorter salivary telomere length in a probability sample of older adults. Soc Sci Med 2016; 157:60-7. [PMID: 27062452 PMCID: PMC4883574 DOI: 10.1016/j.socscimed.2016.03.029] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2015] [Revised: 03/15/2016] [Accepted: 03/20/2016] [Indexed: 02/07/2023]
Abstract
RATIONALE Marital disruption (i.e., marital separation, divorce) is associated with a wide range of poor mental and physical health outcomes, including increased risk for all-cause mortality. One biological intermediary that may help explain the association between marital disruption and poor health is accelerated cellular aging. OBJECTIVE This study examines the association between marital disruption and salivary telomere length in a United States probability sample of adults ≥50 years of age. METHOD Participants were 3526 individuals who participated in the 2008 wave of the Health and Retirement Study. Telomere length assays were performed using quantitative real-time polymerase chain reaction (qPCR) on DNA extracted from saliva samples. Health and lifestyle factors, traumatic and stressful life events, and neuroticism were assessed via self-report. Linear regression analyses were conducted to examine the associations between predictor variables and salivary telomere length. RESULTS Based on their marital status data in the 2006 wave, people who were separated or divorced had shorter salivary telomeres than people who were continuously married or had never been married, and the association between marital disruption and salivary telomere length was not moderated by gender or neuroticism. Furthermore, the association between marital disruption and salivary telomere length remained statistically significant after adjusting for demographic and socioeconomic variables, neuroticism, cigarette use, body mass, traumatic life events, and other stressful life events. Additionally, results revealed that currently married adults with a history of divorce evidenced shorter salivary telomeres than people who were continuously married or never married. CONCLUSION Accelerated cellular aging, as indexed by telomere shortening, may be one pathway through which marital disruption is associated with morbidity and mortality.
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Wojcicki JM, Olveda R, Heyman MB, Elwan D, Lin J, Blackburn E, Epel E. Cord blood telomere length in Latino infants: relation with maternal education and infant sex. J Perinatol 2016; 36:235-41. [PMID: 26633142 DOI: 10.1038/jp.2015.178] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Revised: 10/16/2015] [Accepted: 10/19/2015] [Indexed: 12/19/2022]
Abstract
OBJECTIVE Telomere length (TL) has important consequences for early disease and lifelong health. However, few studies have examined determinants of TL at birth. STUDY DESIGN Here we test associations between cord blood TL and parental and birth factors associated with exposure to stress and indicative of healthy intrauterine life in Latino infants. We tested associations that were significant in bivariate analysis in a multivariate regression model to identify independent predictors for shorter TL at birth. RESULT Two novel and independent predictors emerged in our analysis of 54 infants. Female gender was associated with longer TL by ~350 base pairs (adjusted β-coefficient for male gender=-369.57, (95% confidence interval, -718.21 to (-)20.92), P=0.02); rho=-0.26, P=0.057). Increased maternal high-school education, as indicated by a high-school diploma or additional education beyond high school, was also associated with longer TL, by ~500 base pairs (adjusted β-coefficient for high-school diploma or greater=505.68 (95% confidence interval, 151.69 to 859.68), P<0.01); rho=0.36, P<0.01). Increasing head circumference trended towards statistical significance in association with longer TL (adjusted β-coefficient = 7.33; 95% confidence interval -0.52 to 15.18; P=0.07). When we removed all infants who had been exposed to high oxidative stress in pregnancy including those exposed to maternal hypertension, preeclampsia, gestational diabetes, and those who were low birth weight or preterm birth (n=7), increasing birth weight percentile was associated with longer TL (adjusted β-coefficient=8.04 (95% confidence interval 0.07 to 16.00), P=0.048). CONCLUSION Shorter TL at birth is associated with being male, low maternal education (less than a high school degree), and a trend towards lower birth weight and head circumference. Given the critical role of long TL in predicting health and disease, these findings contribute to the growing literature attempting to understand determinants of TL.
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Affiliation(s)
- J M Wojcicki
- Department of Pediatrics, University of California, San Francisco, CA, USA
| | - R Olveda
- Department of Pediatrics, University of California, San Francisco, CA, USA
| | - M B Heyman
- Department of Pediatrics, University of California, San Francisco, CA, USA
| | - D Elwan
- Department of Pediatrics, University of California, San Francisco, CA, USA
| | - J Lin
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA
| | - E Blackburn
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA
| | - E Epel
- Department of Psychiatry, University of California, San Francisco, CA, USA
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Robertson T, Watts E. The importance of age, sex and place in understanding socioeconomic inequalities in allostatic load: Evidence from the Scottish Health Survey (2008-2011). BMC Public Health 2016; 16:126. [PMID: 26856976 PMCID: PMC4746832 DOI: 10.1186/s12889-016-2796-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2015] [Accepted: 02/01/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Given the broad spectrum of health and wellbeing outcomes that are patterned by socioeconomic position (SEP), it has been suggested that there may be common biological pathways linking SEP and health. Allostatic load is one such pathway, which aims to measure cumulative burden/dysregulation across multiple physiological systems. This study aimed to determine the contextual and demographic factors (age, sex and place) that may be important in better understanding the links between lower SEP and higher allostatic load. METHODS Data were from a nationally representative sample of adults (18+): the Scottish Health Survey (2008-2011). Higher SEP ('1') was defined as having 'Higher'-level, secondary school qualifications versus having lower level or no qualifications ('0'). For allostatic load, a range of 10 biomarkers across the cardiovascular, metabolic and immune systems were used. Respondents were scored "1" for each biomarker that fell into the highest quartile of risk. Linear regressions were run in STATA, including SEP, age (continuous and as a 7-category variable), sex (male/female), urbanity (a 5-category variable ranging from primary cities to remote rural areas) and geographical location (based on 10 area-level healthboards). Interactions between SEP and each predictor, as well as stratified analyses, were tested. RESULTS Lower SEP was associated with higher allostatic load even after adjusting for age, sex and place (b = -0.631, 95 % CI -0.795, -0.389, p < 0.001). There was no significant effect moderation between SEP and age, sex or place. Stratified analysis did show that the inequality identified in the baseline models widened with age, becoming significant at ages 35-44, before narrowing at older ages (75+). There was no difference by sex, but more mixed findings with regards place (urbanity or geographical location), with a mix of significant and non-significant results by SEP that did not appear to follow any pattern. CONCLUSIONS Inequalities in allostatic load by educational attainment, as a measure of SEP, are consistent with age, sex and place. However, these stratified analyses showed that these inequalities did widen with age, before narrowing in later life, matching the patterns seen with other objective and subjective health measures. However, effect moderation analysis did not support evidence of a statistically significant interaction between age and SEP. Context remains an important feature in understanding and potentially addressing inequalities, although may be less of an issue in terms of physiological burden.
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Affiliation(s)
- Tony Robertson
- School of Health Sciences, University of Stirling, Stirling, FK9 4LA, UK.
| | - Eleanor Watts
- Cancer Epidemiology Unit, University of Oxford, Oxford, OX3 7LF, UK
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