Publications by authors named "Leda Chatzi"

Background: Evidence suggests that endocrine disrupting chemicals (EDCs) may perturb the hypothalamic-pituitary-adrenocortical (HPA) axis, which has a major role in brain development. We aimed to evaluate the effects of childhood exposure to organophosphate pesticides, phenols, and phthalate metabolites, on urinary glucocorticosteroids and inattention in childhood.

Methods: We used data from the Human Early-Life Exposome (HELIX) cohort (2013-2016) and the parametric g-formula to estimate associations between EDCs, glucocorticosteroids, and hit reaction time standard error (HRT-SE), a measure of inattention, and tested for possible effect modification by sex.

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  • The study investigates how prenatal dietary quality, assessed through the Healthy Eating Index (HEI) and Empirical Dietary Inflammatory Pattern (EDIP), impacts infant sizes at birth and growth patterns up to age 24 months.
  • Researchers analyzed data from 2854 parent-child pairs participating in a long-term health program, highlighting the diverse racial and ethnic backgrounds of the participants.
  • Results revealed that a healthier diet during pregnancy (high HEI score) is linked to lower likelihoods of having large infants at birth and experiencing rapid growth, suggesting that dietary choices may play a vital role in combating obesity later in life.
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Background: Chronic kidney disease (CKD) affects over 10 % of the global population and can lead to kidney failure and death. Exposure to per- and polyfluoroalkyl substances (PFAS) is associated with increased risk of CKD, yet studies examining the mechanisms linking PFAS and kidney function are lacking. In this exploratory study, we examined longitudinal associations of PFAS exposure with kidney function, and tested if associations were mediated by altered gut bacterial taxa or plasma metabolites using a multi-omics mediation analysis.

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Background: Precision Health aims to revolutionize disease prevention by leveraging information across multiple omic datasets (multi-omics). However, existing methods generally do not consider personalized environmental risk factors (e.g.

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  • * This study aimed to find genetic variations (SNPs and CNVs) affecting how children metabolize phthalates by analyzing data from 1,044 children in the HELIX cohort.
  • * Significant genetic loci associated with phthalate metabolism were identified, along with genes related to detoxification processes and renal excretion, suggesting a strong genetic component influencing how these compounds are processed in the body.
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Background: Early life environmental stressors play an important role in the development of multiple chronic disorders. Previous studies that used environmental risk scores (ERS) to assess the cumulative impact of environmental exposures on health are limited by the diversity of exposures included, especially for early life determinants. We used machine learning methods to build early life exposome risk scores for three health outcomes using environmental, molecular, and clinical data.

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Importance: Prenatal exposure to ubiquitous endocrine-disrupting chemicals (EDCs) may increase the risk of metabolic syndrome (MetS) in children, but few studies have studied chemical mixtures or explored underlying protein and metabolic signatures.

Objective: To investigate associations of prenatal exposure to EDC mixtures with MetS risk score in children and identify associated proteins and metabolites.

Design, Setting, And Participants: This population-based, birth cohort study used data collected between April 1, 2003, and February 26, 2016, from the Human Early Life Exposome cohort based in France, Greece, Lithuania, Norway, Spain, and the UK.

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Background: Per- and poly-fluorinated compounds (PFAS) and heavy metals constitute two classes of environmental exposures with known immunotoxicant effects. In this pilot study, we aimed to evaluate the impact of exposure to heavy metals and PFAS on COVID-19 severity. We hypothesized that elevated plasma-PFAS concentrations and urinary heavy metal concentrations would be associated with increased odds of ICU admission in COVID-19 hospitalized individuals.

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Background: Growing evidence suggests that cardiovascular disease develops over the lifetime, often beginning in childhood. Metal exposures have been associated with cardiovascular disease and important risk factors, including dyslipidemia, but prior studies have largely focused on adult populations and single metal exposures.

Objective: To investigate the individual and joint impacts of multiple metal exposures on lipid levels during childhood.

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  • * The study analyzed data from 65,559 participants across 25 cohorts, focusing on risk factors like maternal age, BMI, and antibody positivity while excluding those with pre-existing thyroid issues.
  • * Results indicated a screening rate of 58% among high-risk cohorts, with minimal variation in risk for hypothyroidism based on age and BMI, and TPOAb/TgAb positivity significantly correlated with higher risks for overt and subclinical hypothyroidism.
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Background: Per- and polyfluoroalkyl substances (PFAS) are pollutants linked to adverse health effects. Diet is an important source of PFAS exposure, yet it is unknown how diet impacts longitudinal PFAS levels.

Objective: To determine if dietary intake and food sources were associated with changes in blood PFAS concentrations among Hispanic young adults at risk of metabolic diseases.

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Introduction: Previous studies identified some environmental and lifestyle factors independently associated with children respiratory health, but few focused on exposure mixture effects. This study aimed at identifying, in pregnancy and in childhood, combined urban and lifestyle environment profiles associated with respiratory health in children.

Methods: This study is based on the European Human Early-Life Exposome (HELIX) project, combining six birth cohorts.

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  • Outcome-wide analysis enhances the ability to detect subtle health signals and identify exposures that could lead to effective preventive measures.* -
  • Recent advances in multivariate statistical techniques are underutilized in exposome research; this paper reviews six methods suitable for outcome-wide exposome analysis using R software, addressing common challenges like dependencies, high dimensionality, and missing data.* -
  • The highlighted methods fall into four categories, and the study demonstrates their practicality on a real exposome dataset, recommending dimensionality reduction and Bayesian techniques as particularly effective for handling complex data issues.*
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Objective: Prediabetes in young people is an emerging epidemic that disproportionately impacts Hispanic populations. We aimed to develop a metabolite-based prediction model for prediabetes in young people with overweight/obesity at risk for type 2 diabetes.

Research Design And Methods: In independent, prospective cohorts of Hispanic youth (discovery; n = 143 without baseline prediabetes) and predominately Hispanic young adults (validation; n = 56 without baseline prediabetes), we assessed prediabetes via 2-h oral glucose tolerance tests.

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  • Triiodothyronine (T3) is important for understanding pregnancy outcomes, but its relationship with adverse obstetric events is not well explored.
  • A study examined the effects of gestational free and total T3 levels on issues like preeclampsia and preterm birth using data from over 33,000 mother-child pairs.
  • The results revealed complex associations between T3 levels and various risks, indicating that while TT3 may relate to certain outcomes, routine measurements during pregnancy might not significantly improve risk assessment for adverse outcomes.
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Childhood obesity is an increasingly severe public health problem, with a prospective impact on health. We propose an exposome approach to identify actionable risk factors for this condition. Our assumption is that relationships between external exposures and outcomes such as rapid growth, overweight, or obesity in children can be better understood through a "meet-in-the-middle" model.

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  • - The review investigates how exposure to per- and polyfluoroalkyl substances (PFAS) impacts human health by examining the human metabolome through 28 observational studies, highlighting the connections between PFAS and various metabolic changes.
  • - The studies analyzed considered different types of PFAS, with most focusing on long-chain PFAS and encompassing a range of population sizes, methodologies, and study designs, predominantly cross-sectional.
  • - Significant findings include altered levels of amino acids, fatty acids, and other metabolites linked to PFAS exposure, suggesting disruptions in crucial metabolic pathways related to energy and cell membrane function.
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  • The study investigates the potential link between gestational exposure to PFAS (per- and polyfluoroalkyl substances) and the likelihood of obesity in children by analyzing data from 1,391 mother-child pairs in eight U.S. cohorts.* -
  • Findings indicate that higher concentrations of specific PFAS during pregnancy are associated with increased BMI-scores and a higher risk of overweight or obesity in children, though the associations are subtle and vary depending on the type of PFAS.* -
  • Results suggest that the associations do not differ based on the child's sex, and while some PFAS show clearer connections to obesity risk, the overall impact of PFAS mixtures remains less certain.*
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Background: Obesity and neurodevelopmental delay are complex traits that often co-occur and differ between boys and girls. Prenatal exposures are believed to influence children's obesity, but it is unknown whether exposures of pregnant mothers can confer a different risk of obesity between sexes, and whether they can affect neurodevelopment.

Methods: We analyzed data from 1044 children from the HELIX project, comprising 93 exposures during pregnancy, and clinical, neuropsychological, and methylation data during childhood (5-11 years).

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Background: Individuals are exposed to environmental pollutants with endocrine disrupting activity (endocrine disruptors, EDCs) and the early stages of life are particularly susceptible to these exposures. Previous studies have focused on identifying molecular signatures associated with EDCs, but none have used repeated sampling strategy and integrated multiple omics. We aimed to identify multi-omic signatures associated with childhood exposure to non-persistent EDCs.

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Background: Exposure to per- and polyfluoroalkyl substances (PFAS) is ubiquitous and has been associated with an increased risk of several cardiometabolic diseases. However, the metabolic pathways linking PFAS exposure and human disease are unclear.

Objective: We examined associations of PFAS mixtures with alterations in metabolic pathways in independent cohorts of adolescents and young adults.

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Background: Rapid postnatal growth may result from exposure in utero or early life to adverse conditions and has been associated with diseases later in life and, in particular, with childhood obesity. DNA methylation, interfacing early-life exposures and subsequent diseases, is a possible mechanism underlying early-life programming.

Methods: Here, a meta-analysis of Illumina HumanMethylation 450K/EPIC-array associations of cord blood DNA methylation at single CpG sites and CpG genomic regions with rapid weight growth at 1 year of age (defined with reference to WHO growth charts) was conducted in six European-based child cohorts (ALSPAC, ENVIRONAGE, Generation XXI, INMA, Piccolipiù, and RHEA, N = 2003).

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Environmental exposures during early life play a critical role in life-course health, yet the molecular phenotypes underlying environmental effects on health are poorly understood. In the Human Early Life Exposome (HELIX) project, a multi-centre cohort of 1301 mother-child pairs, we associate individual exposomes consisting of >100 chemical, outdoor, social and lifestyle exposures assessed in pregnancy and childhood, with multi-omics profiles (methylome, transcriptome, proteins and metabolites) in childhood. We identify 1170 associations, 249 in pregnancy and 921 in childhood, which reveal potential biological responses and sources of exposure.

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Young-onset type 2 diabetes and prediabetes is a growing epidemic. Poor diet is a known risk factor for T2D in older adults, but the contribution of diet to risk factors for T2D is not well-described in youth. Our objective was to examine the relationship of diet quality with prediabetes, glucose regulation, and adiposity in young adults.

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