Publications by authors named "Shelley A Cole"

Unlabelled: Diabetes has a large medical and public health impact in American Indians. Studies have used genetic data to distinguish type 1 diabetes (T1D) and type 2 diabetes (T2D) and uncover biologic mechanisms underlying T2D clinical heterogeneity. We applied a T1D polygenic score (PS) to 3,084 American Indians (mean age 56 years, 58% women, 39% diabetes).

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Background: The association of overall cardiovascular health (CVH) with changes in DNA methylation (DNAm) has not been well characterized.

Methods: We calculated the American Heart Association's Life's Essential 8 score to reflect CVH in 5 cohorts with diverse backgrounds (mean age 54 years, 55% women, and enrollment year ranging from 1989 to 2012). Epigenome-wide association studies (EWAS) for Life's Essential 8 score were conducted, followed by bioinformatic analyses.

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Background: Environmental metals are recognized cardiovascular disease risk factors, yet the role of metal exposure in heart failure (HF) risk remains understudied.

Objectives: This study aims to evaluate the prospective association of urinary metals with incident HF across 3 geographically and ethnically/racially diverse cohorts: MESA (Multi-Ethnic Study of Atherosclerosis) and SHS (Strong Heart Study) in the United States, and the Hortega Study in Spain.

Methods: Adults 18-85 years of age in MESA (n = 6,601), SHS (n = 2,917), and Hortega (n = 1,300) were followed up to 20 years.

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Introduction: Peripheral artery disease (PAD) and dyslipidemia are both independent predictors of cardiovascular disease, but the association between individual lipid species and subclinical PAD, assessed by ankle-brachial index (ABI), is lacking in large-scale longitudinal studies.

Methods: We used liquid chromatography-mass spectrometry to repeatedly measure 1,542 lipid species from 1,886 American Indian adults attending 2 clinical examinations (mean ~5 years apart) in the Strong Heart Family Study. We used generalized estimating equation models to identify baseline lipid species associated with change in ABI and the Cox frailty regression to examine whether lipids associated with change in ABI were also associated with incident coronary heart disease (CHD).

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Objective: To identify lipidomic markers of habitual unprocessed red meat and processed meat intake and evaluate their associations with diabetes risk in American Indians.

Research Design And Methods: We studied 1,816 participants from the Strong Heart Family Study. Using untargeted liquid chromatography-mass spectrometry, we quantified 1,542 lipids (518 known) in fasting plasma at baseline and follow-up (∼5 years apart).

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Hemophilia-A (HA) is the X-linked bleeding disorder caused by heterogeneous factor (F)VIII gene (F8)-mutations and deficiencies in plasma-FVIII-activity that prevent intrinsic-pathway mediated coagulation-amplification. Severe-HA patients (HAPs) require life-long infusions of therapeutic-FVIII-proteins (tFVIIIs) but ~30% develop neutralizing-tFVIII-antibodies called "FVIII-inhibitors (FEIs)". We investigated the genetics underlying the variable risk of FEI-development in 450 North American HAPs (206 and 244 respectively self-reporting black-African- or white-European-ancestry) by analyzing the genotypes of single-nucleotide-variations (SNVs) in candidate immune-mediated-disease (IMD)-genes using a binary linear-mixed model of genetic association with baseline-FEI-status, the dependent variable, while simultaneously accounting for their genetic relationships and heterogeneous-F8-mutations to prevent the statistical problem of non-independence.

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Increased risk of coronavirus disease (COVID-19) hospitalization and death has been reported among patients with clinical lung disease. To test the association of objective measures of prepandemic lung function and structure with COVID-19 outcomes in U.S.

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Despite the availability of effective vaccines and a recent decrease in annual deaths, COVID-19 remains a leading cause of death. Serological studies provide insights into host immunobiology of adaptive immune response to infection, which holds promise for identifying high-risk individuals for adverse COVID-19 outcomes. We investigated correlates of anti-nucleocapsid antibody responses following SARS-CoV-2 infection in a US population-based meta-cohort of adults participating in longstanding National Institutes of Health-funded cohort studies.

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Background: Cigarette smoking is a strong risk factor for cardiovascular harm.

Objectives: The study sought to explore the detailed relationships between smoking intensity, pack-years, and time since cessation with inflammation, thrombosis, and subclinical atherosclerosis markers of cardiovascular harm.

Methods: We included 182,364 participants (mean age 58.

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Importance: Numerous efforts have been made to include diverse populations in genetic studies, but American Indian populations are still severely underrepresented. Polygenic scores derived from genetic data have been proposed in clinical care, but how polygenic scores perform in American Indian individuals and whether they can predict disease risk in this population remains unknown.

Objective: To study the performance of polygenic scores for cardiometabolic risk factors of lipid traits and C-reactive protein in American Indian adults and to determine whether such scores are helpful in clinical prediction for cardiometabolic diseases.

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Background: Understanding the associations of tobacco product use with subclinical markers is essential in evaluating health effects to inform regulatory policy. This is particularly relevant for noncigarette products (eg, cigars, pipes, and smokeless tobacco), which have been understudied because of their low prevalence in individual cohorts.

Methods: This cross-sectional study included 98 450 participants from the Cross-Cohort Collaboration-Tobacco data set.

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Introduction: Compared with White Americans, American Indian adults have disproportionately high depression rates. Previous studies in non-American Indian populations report depression as common among people with uncontrolled hypertension, potentially interfering with blood pressure control. Few studies have examined the association of depressive symptoms with hypertension development among American Indians despite that population's high burden of depression and hypertension.

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Importance: Cardiovascular health outcomes associated with noncigarette tobacco products (cigar, pipe, and smokeless tobacco) remain unclear, yet such data are required for evidence-based regulation.

Objective: To investigate the association of noncigarette tobacco products with cardiovascular health outcomes.

Design, Setting, And Participants: This cohort study was conducted within the Cross Cohort Collaboration Tobacco Working Group by harmonizing tobacco-related data and conducting a pooled analysis from 15 US-based prospective cohorts with data on the use of at least 1 noncigarette tobacco product ranging between 1948 and 2015.

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Article Synopsis
  • Uranium, a toxic element found in U.S. drinking water, was studied to see if its levels in urine are linked to heart health in American Indian young adults.
  • The study analyzed data from over 1,300 participants, measuring urinary uranium and assessing heart function through echocardiography over several years.
  • Results showed higher urinary uranium levels were associated with negative changes in heart structure and function, indicating a possible risk for cardiovascular issues that merits further research.
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  • There is a shared relationship between cardiovascular disease (CVD) and cancer, tied to common risk factors and biological pathways, which the study aims to explore across three diverse ethnic cohorts.
  • The researchers employed a two-stage methodology involving epigenome-wide association studies and targeted analysis of differentially methylated positions (DMPs), unveiling significant epigenetic markers for CVD and cancer.
  • The findings indicate interconnected biological pathways for CVD and cancer, suggesting potential for precision prevention strategies, including screening based on epigenetic signatures to identify at-risk patients in early diagnosis stages.
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BACKGROUNDLeft ventricular hypertrophy (LVH) and dyslipidemia are strong, independent predictors for cardiovascular disease, but their relationship is less well studied. A longitudinal lipidomic profiling of left ventricular mass (LVM) and LVH is still lacking.METHODSUsing liquid chromatography-mass spectrometry (LC-MS), we repeatedly measured 1,542 lipids from 1,755 unique American Indians attending 2 exams (mean, 5 years apart).

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Article Synopsis
  • Coronary heart disease (CHD) is a major health issue in the U.S., and improved prediction models could help in early detection and intervention.
  • Researchers developed a deep learning autoencoder survival analysis model (AESurv) that analyzes DNA methylation and clinical data to predict CHD events more accurately.
  • The AESurv model outperformed traditional survival analysis models in two studies, showing strong potential for improving early CHD prediction and aiding healthcare professionals in managing patient care.
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  • A study was conducted on heart failure (HF) risk factors among American Indian communities, revealing a lack of existing research in this area despite high diabetes and cardiovascular issues.
  • The study analyzed data from 3,059 participants, identifying key predictors of HF over time, including age, smoking, kidney damage, and history of heart attacks, with strong predictive performance indicated.
  • The findings highlight that diabetes control and kidney damage indicators are significant in determining HF risks, which could help improve risk prediction and management in these communities.
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  • Selenium is a crucial nutrient that can have negative health effects at both low and high levels, prompting research into how it affects DNA methylation and related diseases in a specific population (American Indians).
  • In a study involving 1,357 participants, researchers measured urinary selenium levels and conducted DNA methylation analysis, identifying five key CpG sites significantly associated with these levels.
  • The results showed only minor changes in DNA methylation linked to urinary selenium, indicating that its health impacts might involve mechanisms beyond just DNA methylation alterations.
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  • AI communities experience uranium exposure from abandoned mines and contaminated water, but dietary impacts are under-researched.
  • The study assessed urinary uranium levels among American Indians from different regions, finding geographical variations and specific dietary factors influencing uranium levels in urine.
  • Results showed higher uranium levels were linked to organ meat and cereals, particularly in North Dakota and South Dakota, while some foods like fries and chips were associated with lower levels; dietary factors accounted for just 1.71% of variability in urinary uranium.
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Background: Chronic kidney disease (CKD) is highly prevalent in Central America, and genetic factors may contribute to CKD risk. To understand the influences of genetic admixture on CKD susceptibility, we conducted an admixture mapping screening of CKD traits and risk factors in US Hispanic and Latino individuals from Central America country of origin.

Methods: We analyzed 1023 participants of HCHS/SOL (Hispanic Community Health Study/Study of Latinos) who reported 4 grandparents originating from the same Central America country.

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Background: A growing body of research indicates that associations of ceramides and sphingomyelins with mortality depend on the chain length of the fatty acid acylated to the backbone sphingoid base. We examined associations of 8 ceramide and sphingomyelin species with mortality among an American Indian population.

Methods And Results: The analysis comprised 2688 participants from the SHFS (Strong Heart Family Study).

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Importance: Persistent symptoms and disability following SARS-CoV-2 infection, known as post-COVID-19 condition or "long COVID," are frequently reported and pose a substantial personal and societal burden.

Objective: To determine time to recovery following SARS-CoV-2 infection and identify factors associated with recovery by 90 days.

Design, Setting, And Participants: For this prospective cohort study, standardized ascertainment of SARS-CoV-2 infection was conducted starting in April 1, 2020, across 14 ongoing National Institutes of Health-funded cohorts that have enrolled and followed participants since 1971.

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Background: Although COVID-19 infection has been associated with a number of clinical and environmental risk factors, host genetic variation has also been associated with the incidence and morbidity of infection. The CRP gene codes for a critical component of the innate immune system and CRP variants have been reported associated with infectious disease and vaccination outcomes. We investigated possible associations between COVID-19 outcome and a limited number of candidate gene variants including rs1205.

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