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Kim C, Catov J, Schreiner PJ, Appiah D, Wellons MF, Siscovick D, Calderon‐Margalit R, Huddleston H, Ebong IA, Lewis CE. Women's Reproductive Milestones and Cardiovascular Disease Risk: A Review of Reports and Opportunities From the CARDIA Study. J Am Heart Assoc 2023; 12:e028132. [PMID: 36847077 PMCID: PMC10111436 DOI: 10.1161/jaha.122.028132] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
In 1985 to 1986, the CARDIA (Coronary Artery Risk Development in Young Adults) study enrolled 5115 Black or White participants, including 2788 women, aged 18 to 30 years. Over the following 35 years, the CARDIA study amassed extensive longitudinal data on women's reproductive milestones, spanning menarche to menopause. Although not initially conceived as a study of women's health, >75 CARDIA study publications address relationships between reproductive factors and events with cardiovascular and metabolic risk factors, subclinical and clinical cardiovascular disease, and social determinants of health. The CARDIA study was one of the earliest population-based reports to note Black-White differences in age at menarche and associations with cardiovascular risk factors. Adverse pregnancy outcomes, particularly gestational diabetes and preterm birth, have been assessed along with postpartum behaviors, such as lactation. Existing studies have examined risk factors for adverse pregnancy outcomes and lactation, as well as their relationship to future cardiovascular and metabolic risk factors, diagnoses, and subclinical atherosclerosis. Ancillary studies examining components of polycystic ovary syndrome and ovarian biomarkers, such as anti-Müllerian hormone, have facilitated examination of reproductive health in a population-based cohort of young adult women. As the cohort transitioned through menopause, examination of the importance of premenopausal cardiovascular risk factors along with menopause has improved our understanding of shared mechanisms. The cohort is now aged in the 50s to mid-60s, and women will begin to experience a greater number of cardiovascular events as well as other conditions, such as cognitive impairment. Thus, in the next decade, the CARDIA study will provide a unique resource for understanding how the women's reproductive life course epidemiology informs cardiovascular risk, as well as reproductive and chronological aging.
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Affiliation(s)
- Catherine Kim
- Departments of Medicine, Obstetrics and Gynecology, and EpidemiologyUniversity of MichiganAnn ArborMI
| | - Janet Catov
- Department of Obstetrics, Gynecology and Reproductive SciencesUniversity of PittsburghPittsburghPA
| | - Pamela J. Schreiner
- Division of Epidemiology and Community HealthUniversity of MinnesotaMinneapolisMN
| | - Duke Appiah
- Department of Public Health, Graduate School of Biomedical SciencesTexas Tech UniversityLubbockTX
| | | | | | | | - Heather Huddleston
- Department of Obstetrics, Gynecology and Reproductive SciencesUniversity of California San FranciscoSan FranciscoCA
| | | | - Cora E. Lewis
- Department of EpidemiologyUniversity of Alabama at BirminghamBirminghamAL
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Majarian TD, Bentley AR, Laville V, Brown MR, Chasman DI, de Vries PS, Feitosa MF, Franceschini N, Gauderman WJ, Marchek C, Levy D, Morrison AC, Province M, Rao DC, Schwander K, Sung YJ, Rotimi CN, Aschard H, Gu CC, Manning AK. Multi-omics insights into the biological mechanisms underlying statistical gene-by-lifestyle interactions with smoking and alcohol consumption. Front Genet 2022; 13:954713. [PMID: 36544485 PMCID: PMC9760722 DOI: 10.3389/fgene.2022.954713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 11/18/2022] [Indexed: 12/12/2022] Open
Abstract
Though both genetic and lifestyle factors are known to influence cardiometabolic outcomes, less attention has been given to whether lifestyle exposures can alter the association between a genetic variant and these outcomes. The Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium's Gene-Lifestyle Interactions Working Group has recently published investigations of genome-wide gene-environment interactions in large multi-ancestry meta-analyses with a focus on cigarette smoking and alcohol consumption as lifestyle factors and blood pressure and serum lipids as outcomes. Further description of the biological mechanisms underlying these statistical interactions would represent a significant advance in our understanding of gene-environment interactions, yet accessing and harmonizing individual-level genetic and 'omics data is challenging. Here, we demonstrate the coordinated use of summary-level data for gene-lifestyle interaction associations on up to 600,000 individuals, differential methylation data, and gene expression data for the characterization and prioritization of loci for future follow-up analyses. Using this approach, we identify 48 genes for which there are multiple sources of functional support for the identified gene-lifestyle interaction. We also identified five genes for which differential expression was observed by the same lifestyle factor for which a gene-lifestyle interaction was found. For instance, in gene-lifestyle interaction analysis, the T allele of rs6490056 (ALDH2) was associated with higher systolic blood pressure, and a larger effect was observed in smokers compared to non-smokers. In gene expression studies, this allele is associated with decreased expression of ALDH2, which is part of a major oxidative pathway. Other results show increased expression of ALDH2 among smokers. Oxidative stress is known to contribute to worsening blood pressure. Together these data support the hypothesis that rs6490056 reduces expression of ALDH2, which raises oxidative stress, leading to an increase in blood pressure, with a stronger effect among smokers, in whom the burden of oxidative stress is greater. Other genes for which the aggregation of data types suggest a potential mechanism include: GCNT4×current smoking (HDL), PTPRZ1×ever-smoking (HDL), SYN2×current smoking (pulse pressure), and TMEM116×ever-smoking (mean arterial pressure). This work demonstrates the utility of careful curation of summary-level data from a variety of sources to prioritize gene-lifestyle interaction loci for follow-up analyses.
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Affiliation(s)
- Timothy D. Majarian
- Program in Metabolism, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Amy R. Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, US National Institutes of Health, Bethesda, MD, United States
| | - Vincent Laville
- Department of Computational Biology, Institut Pasteur, Université Paris Cité, Paris, France
| | - 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, United States
| | - Daniel I. Chasman
- Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - 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, United States
| | - Mary F. Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, United States
| | - Nora Franceschini
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - W. James Gauderman
- Biostatistics, Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States
| | - Casey Marchek
- Program in Metabolism, Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, United States
| | - Daniel Levy
- The Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MA, United States
| | - 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, United States
| | - Michael Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, United States
| | - Dabeeru C. Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, United States
| | - Karen Schwander
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, United States
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, United States
| | - Yun Ju Sung
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, United States
| | - Charles N. Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, US National Institutes of Health, Bethesda, MD, United States
| | - Hugues Aschard
- Department of Computational Biology, Institut Pasteur, Université Paris Cité, Paris, France
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - C. Charles Gu
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, United States
| | - Alisa K. Manning
- Program in Metabolism, Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, United States
- Department of Medicine and Harvard Medical School, Boston, MA, United States
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Heravi AS, Michos ED, Zhao D, Ambale-Venkatesh B, Doria De Vasconcellos H, Lloyd-Jones D, Schreiner PJ, Reis JP, Wu C, Lewis CE, Shikany JM, Sidney S, Guallar E, Ndumele CE, Ouyang P, Hoogeveen RC, Lima JAC, Vaidya D, Post WS. Oxidative Stress and Menopausal Status: The Coronary Artery Risk Development in Young Adults Cohort Study. J Womens Health (Larchmt) 2022; 31:1057-1065. [PMID: 35675673 DOI: 10.1089/jwh.2021.0248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Background: Low endogenous estrogen concentrations after menopause may contribute to higher oxidative stress and greater cardiovascular disease (CVD) risk. However, differences in oxidative stress between similarly aged premenopausal and postmenopausal women are not well-characterized on a population level. We hypothesized that urinary isoprostane concentrations, a standard measure of systemic oxidative stress, are higher in women who have undergone menopause compared to premenopausal women. Methods and Results: We examined differences in urinary 8-isoprostane (iPF2α-III) and 2,3-dinor-8-isoprostane (iPF2α-III-M) indexed to urinary creatinine between 279 postmenopausal and 196 premenopausal women in the Coronary Artery Risk Development in Young Adults (CARDIA) study, using linear regression with progressive adjustment for sociodemographic factors and traditional CVD risk factors. Unadjusted iPF2α-III-M concentrations were higher among postmenopausal compared to premenopausal women (Median [25th, 75th percentile]: 1762 [1178, 2974] vs. 1535 [1067, 2462] ng/g creatinine; p = 0.01). Menopause was associated with 25.5% higher iPF2α-III-M (95% confidence interval [6.5-47.9]) adjusted for age, race, college education, and field center. Further adjustments for tobacco use (21.2% [2.9-42.6]) and then CVD risk factors (18.8% [0.1-39.6]) led to additional partial attenuation. Menopause was associated with higher iPF2α-III in Black but not White women. Conclusions: We conclude that postmenopausal women had higher oxidative stress, which may contribute to greater CVD risk. ClinicalTrials.gov Identifier: NCT00005130.
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Affiliation(s)
- Amir S Heravi
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Erin D Michos
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Di Zhao
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Bharath Ambale-Venkatesh
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | | | - Donald Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Pamela J Schreiner
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota, USA
| | - Jared P Reis
- National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - Colin Wu
- National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - Cora E Lewis
- Division of Preventive Medicine, University of Alabama at Birmingham School of Public Health, Birmingham, Alabama, USA
| | - James M Shikany
- Division of Preventive Medicine, University of Alabama at Birmingham School of Public Health, Birmingham, Alabama, USA
| | - Stephen Sidney
- Division of Research, Kaiser-Permanente, Oakland, California, USA
| | - Eliseo Guallar
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Chiadi E Ndumele
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Pamela Ouyang
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ron C Hoogeveen
- Division of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Joao A C Lima
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Dhananjay Vaidya
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Wendy S Post
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
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Kim C, Puterman E, Hou L, Slaughter JC, Terry JG, Wellons MF. Antimüllerian hormone and leukocyte aging markers in the Coronary Artery Risk Development in Young Adults study. Fertil Steril 2022; 118:125-133. [PMID: 35610095 PMCID: PMC10598775 DOI: 10.1016/j.fertnstert.2022.03.021] [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] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 03/30/2022] [Accepted: 03/31/2022] [Indexed: 01/08/2023]
Abstract
OBJECTIVE To examine whether premenopausal reproductive age, as indicated by serum antimüllerian hormone (AMH), is associated with leukocyte aging biomarkers. DESIGN Prospective cohort analysis. SETTING The Coronary Artery Risk Development in Young Adults study, a population-based study of Black and White adults from four US communities (Birmingham, AL; Chicago, IL; Minneapolis, MN; Oakland, CA). PATIENT(S) Premenopausal women with serum AMH measures at examination year 15 as well as leukocyte aging markers. INTERVENTION(S) None. MAIN OUTCOME MEASURE(S) Telomere length, mitochondrial deoxyribonucleic acid (mtDNA) copy number, and intrinsic and extrinsic epigenetic age acceleration (EAA) at examination years 15, 20, and 25 as well as change between examination years. RESULT(S) Women were 40.2 (standard deviation, 3.7) years of age at examination year 15 when the AMH and initial measures of telomere length and mtDNA copy number (n = 386) were obtained and EAA occurred. After adjustment for chronological age, race, and smoking history, AMH quartile at examination year 15 was not associated with telomere length at examination years 15 and 25 or telomere length change between these years, mtDNA copy number at examination years 15 and 25 or change between these years, or intrinsic EAA at examination years 15 and 20 or change between these years. Women in the second AMH quartile had faster extrinsic EAA than women in the lowest AMH quartile (β-coefficient, 1.84; 95% confidence interval, 0.20-3.49). CONCLUSION(S) In a population-based cohort, AMH did not have associations with leukocyte telomere length, mtDNA copy number, or intrinsic EAA.
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Affiliation(s)
- Catherine Kim
- Departments of Medicine, Obstetrics and Gynecology, and Epidemiology, University of Michigan, Ann Arbor, Michigan.
| | - Eli Puterman
- School of Kinesiology, University of British Columbia, Vancouver, Canada
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University, Chicago, Illinois
| | - James C Slaughter
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - James G Terry
- Department of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Melissa F Wellons
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
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Barakat B, Almeida MEF. Biochemical and immunological changes in obesity. Arch Biochem Biophys 2021; 708:108951. [PMID: 34102165 DOI: 10.1016/j.abb.2021.108951] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 05/25/2021] [Accepted: 05/31/2021] [Indexed: 12/18/2022]
Abstract
Obesity is a syndemia that promotes high expenditures for public health, and is defined by the excess of adipose tissue that is classified according to its function and anatomical distribution. In obese people, this tissue generates oxidative stress associated with a chronic inflammatory response, in which there is an imbalance in relation to the release of hormones and adipokines that cause loss of body homeostasis and predisposition to the development of some comorbidities. The purpose of this review is to summarize the main events that occur during the onset and progression of obesity with a special focus on biochemical and immunological changes. Hypertrophied and hyperplasia adipocytes have biomarkers and release adipokines capable of regulating pathways and expressing genes that culminate in the development of metabolic changes, such as changes in energy balance and intestinal microbiota, and the development of some comorbidities, diabetes mellitus, dyslipidemias, arterial hypertension, liver disease, cancer, allergies, osteoporosis, sarcopenia and obstructive sleep apnea. Thus, it is necessary to treat and/or prevent pathology, using traditional methods based on healthy eating, and regular physical and leisure activities.
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Affiliation(s)
- Beatriz Barakat
- Institute of Biological and Health Sciences, Federal University of Viçosa (UFV), Rio Paranaíba Campus, Rio Paranaíba, Minas Gerais, Brazil.
| | - Martha E F Almeida
- Institute of Biological and Health Sciences, Federal University of Viçosa (UFV), Rio Paranaíba Campus, Rio Paranaíba, Minas Gerais, Brazil
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Vitek WS, Sroga-Rios J. Guilty by association? What we can glean from the relationship between the oxidative stress makers and ovarian reserve? Fertil Steril 2020; 114:519. [PMID: 32828496 DOI: 10.1016/j.fertnstert.2020.07.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 07/08/2020] [Indexed: 11/26/2022]
Affiliation(s)
- Wendy S Vitek
- University of Rochester Medical Center, Rochester, New York
| | - Julie Sroga-Rios
- Obstetrics and Gynecology, University of Cincinnati College of Medicine, West Chester, Ohio
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