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Kunhiraman HH, Guha A. Prostate cancer and cardiovascular disease: Racial/ethnic disparities and role of chronic toxic stress/allostatic load. AMERICAN HEART JOURNAL PLUS : CARDIOLOGY RESEARCH AND PRACTICE 2024; 42:100397. [PMID: 38680647 PMCID: PMC11053262 DOI: 10.1016/j.ahjo.2024.100397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 04/17/2024] [Accepted: 04/18/2024] [Indexed: 05/01/2024]
Affiliation(s)
| | - Avirup Guha
- Cardio-Oncology Program, Medical College of Georgia at Augusta University, Augusta, GA, USA
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Chen G, Barlow M, Down L, Mounce LTA, Merriel SWD, Watson J, Martins T, Bailey SER. Exploring ethnic differences in the distribution of blood test results in healthy adult populations to inform earlier cancer detection: a systematic review. Fam Pract 2024:cmae021. [PMID: 38706165 DOI: 10.1093/fampra/cmae021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/07/2024] Open
Abstract
BACKGROUND In primary care, health professionals use blood tests to investigate nonspecific presentations to inform referral decisions. Reference ranges for the commonly used blood tests in western countries were developed in predominately White populations, and so may perform differently when applied to non-White populations. Knowledge of ethnic variation in blood test results in healthy/general populations could help address ethnic inequalities in cancer referral for diagnosis and outcomes. OBJECTIVE This systematic review explored evidence of ethnic differences in the distribution of selected blood test results among healthy/general populations to inform future research aimed at addressing inequalities in cancer diagnosis. METHODS We searched PubMed and EMBASE to identify studies reporting measures of haemoglobin, MCV, calcium, albumin, platelet count, and CRP in nondiseased adults from at least 2 different ethnic groups. Two reviewers independently screened studies, completed data extraction and quality assessment using an adapted Newcastle-Ottawa scale. Participants were stratified into White, Black, Asian, Mixed, and Other groups. Data were synthesised narratively and meta-analyses were conducted where possible. RESULTS A total of 47 papers were included. Black men and women have lower average values of haemoglobin, MCV, and albumin, and higher average values of CRP relative to their White counterparts. Additionally, Black men have lower average haemoglobin than Asian men, whereas Asian women have lower average CRP values when compared with White women. CONCLUSIONS There is evidence of ethnic differences in average values of haemoglobin, MCV, CRP, and albumin in healthy/general populations. Further research is needed to explore the reasons for these differences. Systematic review registration: CRD42021274580.
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Affiliation(s)
- Ge Chen
- Department of Health and Community Sciences, University of Exeter, Exeter, UK
- Bristol Dental School, University of Bristol, Bristol, United Kingdom
| | - Melissa Barlow
- Department of Health and Community Sciences, University of Exeter, Exeter, UK
| | - Liz Down
- Department of Health and Community Sciences, University of Exeter, Exeter, UK
| | | | - Samuel William David Merriel
- Department of Health and Community Sciences, University of Exeter, Exeter, UK
- Centre for Primary Care & Health Services Research, University of Manchester, Manchester, United Kingdom
| | - Jessica Watson
- Centre for Academic Primary Care (CAPC), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Tanimola Martins
- Department of Health and Community Sciences, University of Exeter, Exeter, UK
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Andrzejak SE, Lewis-Thames MW, Langston ME, Han Y, Khan S, Nettles DA, Fuzzell LN, Tingen MS, Moore JX. The Role of BMI in Allostatic Load and Risk of Cancer Death. Am J Prev Med 2023; 65:417-426. [PMID: 36889531 PMCID: PMC10440242 DOI: 10.1016/j.amepre.2023.03.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 03/02/2023] [Accepted: 03/02/2023] [Indexed: 03/08/2023]
Abstract
INTRODUCTION Obesity and proinflammatory conditions are associated with increased risks of cancer. The associations of baseline allostatic load with cancer mortality and whether this association is modified by body mass index (BMI) were examined. METHODS A retrospective analysis was performed in March-September 2022 using National Health and Nutrition Examination Survey years 1988 through 2010 linked with the National Death Index through December 31, 2019. Fine and Gray Cox proportional hazard models were stratified by BMI status to estimate subdistribution hazard ratios of cancer death between high and low allostatic load status (adjusted for age, sociodemographics, and health factors). RESULTS In fully adjusted models, high allostatic load was associated with a 23% increased risk of cancer death (adjusted subdistribution hazard ratio=1.23; 95% CI=1.06, 1.43) among all participants, a 3% increased risk of cancer death (adjusted subdistribution hazard ratio=1.03; 95% CI=0.78, 1.34) among underweight/healthy weight adults, a 31% increased risk of cancer death (adjusted subdistribution hazard ratio=1.31; 95% CI=1.02, 1.67) among overweight adults, and a 39% increased risk of death (adjusted subdistribution hazard ratio=1.39; 95% CI=1.04, 1.88) among obese adults, when compared to those with low allostatic load. CONCLUSIONS The risk of cancer death is highest among those with high allostatic load and obese BMI, but this effect was attenuated among those with high allostatic load and underweight/healthy or overweight BMI.
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Affiliation(s)
- Sydney E Andrzejak
- Cancer Prevention, Control & Population Health, Medical College of Georgia, Georgia Cancer Center, Augusta University, Augusta, Georgia
| | - Marquita W Lewis-Thames
- Department of Medical Social Science, Center for Community Health, Feinberg School of Medicine, Northwestern University, Chicago, Ilinois
| | - Marvin E Langston
- Department of Epidemiology & Population Health, Stanford University, Stanford, California
| | - Yunan Han
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Saira Khan
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Darryl A Nettles
- Cancer Prevention, Control & Population Health, Medical College of Georgia, Georgia Cancer Center, Augusta University, Augusta, Georgia
| | - Lindsay N Fuzzell
- Department of Health Outcomes & Behavior, H. Lee Moffitt Cancer Center, Tampa, Florida
| | - Martha S Tingen
- Cancer Prevention, Control & Population Health, Medical College of Georgia, Georgia Cancer Center, Augusta University, Augusta, Georgia
| | - Justin X Moore
- Cancer Prevention, Control & Population Health, Medical College of Georgia, Georgia Cancer Center, Augusta University, Augusta, Georgia; Institute of Preventive and Public Health, Medical College of Georgia, Augusta University, Augusta, Georgia.
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Joshi A, Wilson LE, Pinheiro LC, Akinyemiju T. Association of racial residential segregation with all-cause and cancer-specific mortality in the reasons for geographic and racial differences in stroke (REGARDS) cohort study. SSM Popul Health 2023; 22:101374. [PMID: 37132018 PMCID: PMC10149269 DOI: 10.1016/j.ssmph.2023.101374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 12/12/2022] [Accepted: 02/27/2023] [Indexed: 04/03/2023] Open
Abstract
•Increased racial residential segregation increased the risk of all-cause mortality among White participants.•Higher interaction lowered the risk of all-cause mortality among White participants.•Higher isolation lowered the risk of cancer mortality among Black participants.
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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] [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,*Correspondence: Alisa K. Manning,
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Moore JX, Andrzejak SE, Bevel MS, Jones SR, Tingen MS. Exploring racial disparities on the association between allostatic load and cancer mortality: A retrospective cohort analysis of NHANES, 1988 through 2019. SSM Popul Health 2022; 19:101185. [PMID: 35990411 PMCID: PMC9382324 DOI: 10.1016/j.ssmph.2022.101185] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 06/24/2022] [Accepted: 07/22/2022] [Indexed: 11/17/2022] Open
Abstract
Background Methods Results Conclusions Impact Allostatic load (AL) is a biologic measure for the ‘wear and tear’ of chronic stress. Studies suggests that racial minorities have higher allostatic load. There is limited knowledge on the association between allostatic and cancer, by race. We observed that AL may increase the risk of cancer death by 14%. Among those aged <40 years, high AL increased cancer death risk by more than 80%.
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Affiliation(s)
- Justin Xavier Moore
- Cancer Prevention, Control, & Population Health, Medical College of Georgia, Georgia Cancer Center, Augusta University, Augusta, GA, USA
- Institute of Preventive and Public Health, Medical College of Georgia, Augusta University, Augusta, GA, USA
- Corresponding author. Cancer Prevention, Control & Population Health Program, Georgia Cancer Center, Department of Medicine, Institute of Public and Preventive Health, Medical College of Georgia at Augusta University, 1410 Laney Walker Blvd. CN-2135, Augusta, GA, 30912, USA.
| | - Sydney Elizabeth Andrzejak
- Cancer Prevention, Control, & Population Health, Medical College of Georgia, Georgia Cancer Center, Augusta University, Augusta, GA, USA
| | - Malcolm S. Bevel
- Cancer Prevention, Control, & Population Health, Medical College of Georgia, Georgia Cancer Center, Augusta University, Augusta, GA, USA
| | - Samantha R. Jones
- Cancer Prevention, Control, & Population Health, Medical College of Georgia, Georgia Cancer Center, Augusta University, Augusta, GA, USA
| | - Martha S. Tingen
- Cancer Prevention, Control, & Population Health, Medical College of Georgia, Georgia Cancer Center, Augusta University, Augusta, GA, USA
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Guha A, Wang X, Harris RA, Nelson AG, Stepp D, Klaassen Z, Raval P, Cortes J, Coughlin SS, Bogdanov VY, Moore JX, Desai N, Miller DD, Lu XY, Kim HW, Weintraub NL. Obesity and the Bidirectional Risk of Cancer and Cardiovascular Diseases in African Americans: Disparity vs. Ancestry. Front Cardiovasc Med 2021; 8:761488. [PMID: 34733899 PMCID: PMC8558482 DOI: 10.3389/fcvm.2021.761488] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 09/21/2021] [Indexed: 12/28/2022] Open
Abstract
Cardiovascular disease (CVD) and cancer often occur in the same individuals, in part due to the shared risk factors such as obesity. Obesity promotes adipose inflammation, which is pathogenically linked to both cardiovascular disease and cancer. Compared with Caucasians, the prevalence of obesity is significantly higher in African Americans (AA), who exhibit more pronounced inflammation and, in turn, suffer from a higher burden of CVD and cancer-related mortality. The mechanisms that underlie this association among obesity, inflammation, and the bidirectional risk of CVD and cancer, particularly in AA, remain to be determined. Socio-economic disparities such as lack of access to healthy and affordable food may promote obesity and exacerbate hypertension and other CVD risk factors in AA. In turn, the resulting pro-inflammatory milieu contributes to the higher burden of CVD and cancer in AA. Additionally, biological factors that regulate systemic inflammation may be contributory. Mutations in atypical chemokine receptor 1 (ACKR1), otherwise known as the Duffy antigen receptor for chemokines (DARC), confer protection against malaria. Many AAs carry a mutation in the gene encoding this receptor, resulting in loss of its expression. ACKR1 functions as a decoy chemokine receptor, thus dampening chemokine receptor activation and inflammation. Published and preliminary data in humans and mice genetically deficient in ACKR1 suggest that this common gene mutation may contribute to ethnic susceptibility to obesity-related disease, CVD, and cancer. In this narrative review, we present the evidence regarding obesity-related disparities in the bidirectional risk of CVD and cancer and also discuss the potential association of gene polymorphisms in AAs with emphasis on ACKR1.
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Affiliation(s)
- Avirup Guha
- Harrington Heart and Vascular Institute, Case Western Reserve University, Cleveland, OH, United States
- Division of Cardiology, Department of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Xiaoling Wang
- Georgia Prevention Institute, Augusta University, Augusta, GA, United States
| | - Ryan A. Harris
- Georgia Prevention Institute, Augusta University, Augusta, GA, United States
| | - Anna-Gay Nelson
- Department of Chemistry, Paine College, Augusta, GA, United States
| | - David Stepp
- Vascular Biology Center, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Zachary Klaassen
- Section of Urology, Department of Surgery, Medical College of Georgia at Augusta University, Georgia Cancer Center, Augusta, GA, United States
| | - Priyanka Raval
- Georgia Cancer Center, Augusta University, Augusta, GA, United States
| | - Jorge Cortes
- Georgia Cancer Center, Augusta University, Augusta, GA, United States
| | - Steven S. Coughlin
- Department of Population Health Sciences, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | | | - Justin X. Moore
- Cancer Prevention, Control, and Population Health Program, Georgia Cancer Center, Medical College of Georgia, Augusta University, Augusta, GA, United States
| | - Nihar Desai
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States
- Center for Outcomes Research and Evaluation, New Haven, CT, United States
| | - D. Douglas Miller
- Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Xin-Yun Lu
- Department of Neuroscience & Regenerative Medicine, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Ha Won Kim
- Division of Cardiology, Department of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, United States
- Vascular Biology Center, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Neal L. Weintraub
- Division of Cardiology, Department of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, United States
- Vascular Biology Center, Medical College of Georgia at Augusta University, Augusta, GA, United States
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