Publications by authors named "Maggie A Stanislawski"

Obesity-related conditions are among the leading causes of preventable death and are increasing in prevalence worldwide. Body size and composition are complex traits that are challenging to characterize due to environmental and genetic influences, longitudinal variation, heterogeneity between sexes, and differing health risks based on adipose distribution. Here, we construct a 4-factor genomic structural equation model using 18 measures, unveiling shared and distinct genetic architectures underlying birth size, abdominal size, adipose distribution, and adiposity.

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Background: Hypertension (HT) and chronic kidney diseases (CKD) are complex conditions having both genetic and environmental contributions, disproportionately affecting African American (AA) individuals. Recent evidence is contradictory regarding the directionality of the relationship between the two conditions. This study investigates the relationship between CKD and blood pressure (BP)-related traits with CKD and BP by generating polygenic risk scores (PRSs) for CKD and BP-related traits in 2,995 AA participants of the Jackson Heart Study.

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Polygenic risk score (PRS) distributions vary across populations, complicating PRS risk assessment. We evaluated the impact of PRS calibration according to individualized genetic ancestry estimates on PRS performance using two large multi-ethnic PRS for type 2 diabetes (T2D) (PRS) and height (PRS), in 8,841 African American (AA) individuals from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study. We calibrated each participant's score as a function of estimated genetic similarity to the Yoruba (GSYRI) cohort in the 1000 Genomes Project.

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Introduction: Prior work in predominantly European ancestry populations has explained how the risk associated with demographic, lifestyle, and health factors differs with underlying genetic susceptibility to type 2 diabetes (T2D), but less is known about these relationships in Black Americans.

Methods: We used covariate-adjusted logistic regression models of T2D to examine interactions between a published trans-ancestry derived T2D polygenic risk score (PRS) and various demographic, lifestyle, and health-related factors among 28,251 self-identified Black Americans from six cohort studies.

Results: The results are generally consistent with prior work in White populations.

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Key Points: We aimed to elucidate potential methylation, proteomic, and metabolomic mechanisms by which variants may be linked to kidney disease. We report distinct methylation profiling between risk allele carriers and noncarriers, many near gene family. We report higher APOL1 protein and lower C18:1 cholesteryl ester in two risk allele carriers.

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Article Synopsis
  • A study explored how different biological factors (like proteins and metabolites) can help identify distinct groups of people with obesity who have varying risks for heart and metabolic diseases.
  • Using data from 243 participants, researchers found two groups: one (iCluster1) with favorable cholesterol levels and another (iCluster2) with higher BMI and inflammation levels.
  • The findings suggest these groups could reflect different stages of obesity-related issues, potentially influenced by factors like diet and behavior, despite similar ages across the groups.
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Inflammatory bowel disease (IBD) is characterized by complex etiology and a disrupted colonic ecosystem. We provide a framework for the analysis of multi-omic data, which we apply to study the gut ecosystem in IBD. Specifically, we train and validate models using data on the metagenome, metatranscriptome, virome, and metabolome from the Human Microbiome Project 2 IBD multi-omic database, with 1,785 repeated samples from 130 individuals (103 cases and 27 controls).

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Article Synopsis
  • Precision medicine is an evolving approach in healthcare that aims to enhance decision-making and health outcomes, particularly in managing diabetes, which poses serious health risks for millions globally.
  • The second international consensus report on precision diabetes medicine reviews current findings on prevention, diagnosis, treatment, and prognosis across different forms of diabetes, highlighting the potential for translating research into clinical practice.
  • The report also identifies knowledge gaps and sets out key milestones for better clinical implementation, emphasizing the need for standards addressing cost-effectiveness, health equity, and accessibility in treatment options.
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Article Synopsis
  • A systematic review was conducted to explore the relationship between clinical and biological features and the effectiveness of two diabetes treatments: SGLT2-inhibitors and GLP1-receptor agonists, focusing on outcomes like glycaemic control, cardiovascular health, and kidney function.
  • Out of over 5,600 studies screened, only 101 for SGLT2-inhibitors and 75 for GLP1-receptor agonists were included, but many had methodological flaws that limited their reliability in assessing how different patients react to these treatments.
  • Findings suggest that factors like lower kidney function and reduced insulin secretion could affect treatment responses, but overall evidence is weak; further well-designed studies are needed to better understand treatment diversity and enhance
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Coronary artery calcification (CAC), a measure of subclinical atherosclerosis, predicts future symptomatic coronary artery disease (CAD). Identifying genetic risk factors for CAC may point to new therapeutic avenues for prevention. Currently, there are only four known risk loci for CAC identified from genome-wide association studies (GWAS) in the general population.

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Obesity has been linked to the gut microbiome, epigenome, and diet, yet these factors have not been studied together during obesity treatment. Our objective was to evaluate associations among gut microbiota (MB), DNA methylation (DNAme), and diet prior to and during a behavioral weight loss intervention. Adults ( = 47, age 40.

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Background: A precision medicine approach in type 2 diabetes requires identification of clinical and biological features that are reproducibly associated with differences in clinical outcomes with specific anti-hyperglycaemic therapies. Robust evidence of such treatment effect heterogeneity could support more individualized clinical decisions on optimal type 2 diabetes therapy.

Methods: We performed a pre-registered systematic review of meta-analysis studies, randomized control trials, and observational studies evaluating clinical and biological features associated with heterogenous treatment effects for SGLT2-inhibitor and GLP1-receptor agonist therapies, considering glycaemic, cardiovascular, and renal outcomes.

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Compared to microbiomes on other skin sites, the bacterial microbiome of the human hand has been found to have greater variability across time. To increase understanding regarding the longitudinal transfer of the hand microbiome to objects in the built environment, and vice versa, 22 participants provided skin microbiome samples from their dominant hands, as well as from frequently and infrequently touched objects in their office environments. Additional longitudinal samples from home environments were obtained from a subset of 11 participants.

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The gut microbiome is impacted by environmental exposures and has been implicated in many physical and mental health conditions, including anxiety disorders, affective disorders, and trauma- and stressor-related disorders such as posttraumatic stress disorder (PTSD). United States (US) military Veterans are a unique population in that their military-related exposures can have consequences for both physical and mental health, but the gut microbiome of this population has been understudied. In this publication, we describe exposures, health conditions, and medication use of Veterans in the US Veteran Microbiome Project (US-VMP) and examine the associations between these characteristics and the gut microbiota.

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Article Synopsis
  • Altered gut microbiota is linked to obesity and may affect weight loss, prompting a study comparing daily caloric restriction (DCR) with intermittent fasting (IMF) in overweight or obese adults.
  • After three months of the interventions, participants showed significant improvements in health measures and changes in the composition and diversity of their gut microbiota.
  • The study found key associations between gut microbiota features and clinical measures like weight and waist circumference, providing insights into how gut health influences weight loss outcomes.
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Objective: The metabolic phenotype of youth-onset type 2 diabetes (T2D) differs from that of adult-onset T2D, but little is known about genetic contributions. We aimed to evaluate the association between a T2D genetic risk score (GRS) and traits related to glucose-insulin homeostasis among healthy youth.

Research Design And Methods: We used data from 356 youth (mean age 16.

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Article Synopsis
  • - The study investigates how genetic variants related to Body Mass Index (BMI) may influence the link between exposure to maternal diabetes during pregnancy and children's BMI z-scores, using data from 459 children in a cohort study.
  • - Out of the 95 genetic variants analyzed, 7 showed a noteworthy interaction with in utero diabetes exposure, and 5 of these had consistent results in a follow-up study involving an additional 621 children.
  • - While the overall findings were not statistically significant after multiple comparisons, three specific genetic variants showed a possible interaction with in utero diabetes exposure, suggesting a need for larger studies to verify these relationships.
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Objective: To examine associations of dietary changes from childhood to adolescence with adolescent hepatic fat and whether the PNPLA3 rs738409 risk allele, a strong genetic risk factor for hepatic fat, modifies associations.

Study Design: Data were from 358 participants in the Exploring Perinatal Outcomes among CHildren (EPOCH) study, a longitudinal cohort in Colorado. Diet was assessed by food frequency questionnaire in childhood (approximately 10 years of age) and adolescence (approximately 16 years of age) and converted to nutrient densities.

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Dietary patterns influence gut microbiota composition. To date, there has not been an assessment of diet and gut microbiota in Veterans, who have a history of unique environmental exposures, including military deployment, that may influence associations between diet and gut microbiota. Our aim was to characterise Veteran habitual dietary intake and quality, and to evaluate correlations between diet and gut microbiota.

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Objective: Identifying predictors of weight loss and clinical outcomes may increase understanding of individual variability in weight loss response. We hypothesized that baseline multiomic features, including DNA methylation (DNAme), metabolomics, and gut microbiome, would be predictive of short-term changes in body weight and other clinical outcomes within a comprehensive weight loss intervention.

Methods: Healthy adults with overweight or obesity (n = 62, age 18-55 years, BMI 27-45 kg/m , 75.

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We explored the feasibility of collecting and analyzing human microbiome data in a longitudinal randomized controlled trial of community gardening. Participants were randomly assigned to gardening (N = 8) or control (N = 8). Participants provided stool, mouth, hand and forehead microbiome samples at six timepoints.

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Background: Contrast-Associated Acute Kidney Injury (CA-AKI) is a serious complication associated with percutaneous coronary intervention (PCI). Patients with chronic kidney disease (CKD) have an elevated risk for developing this complication. Although CA-AKI prophylactic measures are available, the supporting literature is variable and inconsistent for periprocedural hydration and N-acetylcysteine (NAC), but is stronger for contrast minimization.

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Objective: To assess the importance of genetic and nongenetic risk factors contributing to hepatic fat accumulation in a multiethnic population of youth.

Study Design: We investigated the relationship between genetic factors and hepatic fat fraction (HFF) in 347 children aged 12.5-19.

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Obesity is a disease with a complex etiology and variable prevalence across different populations. While several studies have reported gut microbiota composition differences associated with obesity in humans, there has been a lack of consistency in the nature of the reported changes; it has been difficult to determine whether methodological differences between studies, underlying differences in the populations studied, or other factors are responsible for this discordance. Here we use 16 S rRNA data from previously published studies to explore how the gut microbiota-obesity relationship varies across heterogeneous Western populations, focusing mainly on the relationship between (1) alpha diversity and (2) relative abundance with BMI.

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