Publications by authors named "Raji Balasubramanian"

Purpose: We previously identified a dietary pattern (DP) associated with plasma trimethylamine -oxide (TMAO) and choline, the TMAO-DP, where higher scores represent more atherogenic potential of the diet. The mechanisms linking dietary intake to the presence of choline and TMAO in the plasma, and by which TMAO may influence atherosclerosis in humans require further clarification. The objective was to evaluate associations between the TMAO-DP and metabolomic profiles in postmenopausal women from the Women’s Health Initiative (WHI).

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Background: Associations between premenopausal plasma metabolites and breast cancer incidence are largely unknown.

Methods: We conducted a prospective, matched case-control study in which we measured pre-diagnostic metabolomic profiles among predominantly premenopausal women in the Nurses' Health Study II (n = 2010). Lipids, carbohydrates, and organic acid-related metabolites (n = 218) were profiled via liquid chromatography-tandem mass spectrometry.

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Introduction: Chronic stress has been linked with higher risk of ovarian cancer and one posited pathway is through altered metabolism of amino acids, lipids, and other small molecule metabolites. However, the types of alterations that occur may not be uniform across tissue types.

Objectives: We aim to examine and compare the impacts of chronic stress on metabolomic changes in circulation and ovarian tissue.

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Background: Endocrine-disrupting chemicals (EDC) found in many household and personal care products have hormonal properties and effects on the mammary gland. It is unclear whether urinary concentrations of EDCs are associated with higher percent breast density, a major risk factor of breast cancer.

Methods: We conducted a cross-sectional study of 97 college-aged women.

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Ambient air pollution has been associated with bone damage. However, no studies have evaluated the metabolomic response to air pollutants and its potential influence on bone health in postmenopausal women. We analyzed data from Women's Health Initiative (WHI) participants with plasma samples.

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Background: Folate is critical for many physiological processes, and low folate levels have been associated with a wide range of health outcomes, including chronic diseases and developmental outcomes. Many environmental chemicals are suspected to contribute to the etiology of health outcomes related to folate deficiency. However, little is known about how these pollutants influence folate levels as potential mechanistic pathways.

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Metabolome-based biomarkers contribute to identify mechanisms of disease and to a better understanding of overall mortality. In a long-term follow-up subsample (n = 1878) of the PREDIMED trial, among 337 candidate baseline plasma metabolites repeatedly assessed at baseline and after 1 year, 38 plasma metabolites were identified as predictors of all-cause mortality. Gamma-amino-butyric acid (GABA), homoarginine, serine, creatine, 1-methylnicotinamide and a set of sphingomyelins, plasmalogens, phosphatidylethanolamines and cholesterol esters were inversely associated with all-cause mortality, whereas plasma dimethylguanidino valeric acid (DMGV), choline, short and long-chain acylcarnitines, 4-acetamidobutanoate, pseudouridine, 7-methylguanine, N6-acetyllysine, phenylacetylglutamine and creatinine were associated with higher mortality.

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Background: Post-traumatic stress disorder (PTSD) is characterized by severe distress and associated with cardiometabolic diseases. Studies in military and clinical populations suggest that dysregulated metabolomic processes may be a key mechanism. Prior work identified and validated a metabolite-based distress score (MDS) linked with depression and anxiety and subsequent cardiometabolic diseases.

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Background: Type 2 diabetes (T2D) results from a complex interplay between genetic predisposition and lifestyle factors. Both genetic susceptibility and unhealthy lifestyle are known to be associated with elevated T2D risk. However, their combined effects on T2D risk are not well studied.

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Background: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by social deficits and repetitive behaviors. Environmental pollutants may contribute to the etiology of ASD, but studies of perfluoroalkyl substances (PFAS) have shown conflicting results.

Objectives: We assessed associations between cord blood concentrations of PFAS with autistic traits at age seven years in a Singaporean birth cohort.

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Background And Aims: Gallstone disease affects ≥40 million people in the USA and accounts for health costs of ≥$4 billion a year. Risk factors such as obesity and metabolic syndrome are well established. However, data are limited on relevant metabolomic alterations that could offer mechanistic and predictive insights into gallstone disease.

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Article Synopsis
  • PTSD may share some metabolic changes with depression and anxiety, but there are also unique metabolic alterations specifically linked to PTSD symptoms.
  • Utilizing data from the Nurses' Health Study II, researchers analyzed blood samples from 2835 women over nearly two decades to assess the relationship between PTSD and various metabolites.
  • The study found that persistent PTSD symptoms were associated with increased levels of a specific distress score and identified nine metabolites related to these symptoms, indicating potential connections between PTSD and metabolic health issues.
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Article Synopsis
  • - The study examines the link between plasma metabolomic profiles and the risk of developing kidney stones, revealing that information in this area is currently scarce.
  • - Three specific metabolites, including cryptoxanthin and two types of sphingomyelin, showed negative associations with the occurrence of kidney stones in both studied cohorts.
  • - The research involved a large sample size of 1,758 participants and used advanced statistical methods to assess the relationships between various metabolites and kidney stone formation risk.
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There is growing interest in incorporating metabolomics into public health practice. However, Black women are under-represented in many metabolomics studies. If metabolomic profiles differ between Black and White women, this under-representation may exacerbate existing Black-White health disparities.

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Background: A healthy lifestyle is associated with a lower premature mortality risk and with longer life expectancy. However, the metabolic pathways of a healthy lifestyle and how they relate to mortality and longevity are unclear. We aimed to identify and replicate a healthy lifestyle metabolomic signature and examine how it is related to total and cause-specific mortality risk and longevity.

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Context: Psychological distress has been linked to diabetes risk. Few population-based, epidemiologic studies have investigated the potential molecular mechanisms (eg, metabolic dysregulation) underlying this association.

Objective: To evaluate the association between a metabolomic signature for psychological distress and diabetes risk.

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Background: Chronic psychological distress is associated with increased risk of cardiovascular disease (CVD) and investigators have posited inflammatory factors may be centrally involved in these relationships. However, mechanistic evidence and molecular underpinnings of these processes remain unclear, and data are particularly sparse among women. This study examined if a metabolite profile linked with distress was associated with increased CVD risk and inflammation-related risk factors.

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Ambient air pollution has been associated with bone damage. However, no studies have evaluated the metabolomic response to air pollutants and its potential influence on bone health in postmenopausal women. We analyzed data from WHI participants with plasma samples.

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Gaussian graphical models (GGMs) are a popular form of network model in which nodes represent features in multivariate normal data and edges reflect conditional dependencies between these features. GGM estimation is an active area of research. Currently available tools for GGM estimation require investigators to make several choices regarding algorithms, scoring criteria, and tuning parameters.

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We evaluated associations of the Empirical Dietary Index for Hyperinsulinemia (EDIH), Empirical Dietary Inflammatory Pattern (EDIP) and Healthy Eating Index (HEI2015) and their metabolomics profiles with the risk of total and site-specific cancers. We used baseline food frequency questionnaires to calculate dietary scores among 112,468 postmenopausal women in the Women's Health Initiative. We used multivariable-adjusted Cox regression to estimate hazard ratios (HR) and 95% confidence intervals for cancer risk estimation.

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Importance: Persistent tinnitus is common, disabling, and difficult to treat.

Objective: To evaluate the association between circulating metabolites and persistent tinnitus.

Design, Setting, And Participants: This was a population-based case-control study of 6477 women who were participants in the Nurses' Health Study (NHS) and NHS II with metabolomic profiles and tinnitus data.

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Psychological distress can be conceptualized as an umbrella term encompassing symptoms of depression, anxiety, posttraumatic stress disorder (PTSD), or stress more generally. A systematic review of metabolomic markers associated with distress has the potential to reveal underlying molecular mechanisms linking distress to adverse health outcomes. The current systematic review extends prior reviews of clinical depressive disorders by synthesizing 39 existing studies that examined metabolomic markers for PTSD, anxiety disorders, and subclinical psychological distress in biological specimens.

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Gaussian graphical models (GGMs) provide a framework for modeling conditional dependencies in multivariate data. In this tutorial, we provide an overview of GGM theory and a demonstration of various GGM tools in R. The mathematical foundations of GGMs are introduced with the goal of enabling the researcher to draw practical conclusions by interpreting model results.

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