Publications by authors named "Hivert M"

Background: There is increasing need for effective incorporation of high-dimensional genetics data from individuals with varied ancestry in genome-wide association (GWAS) analyses. Classically, multi-ancestry GWAS analyses are performed using statistical meta-analysis to combine results conducted within homogeneous ancestry groups. The emergence of cosmopolitan reference panels makes collective preprocessing of GWAS data possible, but impact on downstream GWAS results in a mega-analysis framework merits investigation.

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Background: Lower maternal insulin sensitivity during pregnancy is associated with greater fetal adiposity. Physical activity can improve insulin sensitivity, but it is not known if physical behaviours influence the known association of maternal insulin sensitivity with offspring adiposity. This study aimed to investigate the moderating impact of physical behaviours on this association.

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Long-term exposure to ambient air pollution has been associated with epigenetic age acceleration (EAA) in adults, but its impact on children remains less understood. This study analyzed data from 457 children (mean age: 7.9 years) in the Project Viva cohort (2007-2010, eastern Massachusetts, USA).

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Background: Per- and polyfluoroalkyl substances (PFAS) may impact ovarian folliculogenesis and steroidogenesis, but whether prenatal exposure may impact offspring reproductive health is unknown. This study examines the extent to which maternal PFAS plasma concentrations during pregnancy are associated with polycystic ovary syndrome (PCOS) and related characteristics in female offspring.

Methods: We studied 322 mother-daughter pairs in Project Viva, a Boston-area longitudinal pre-birth cohort enrolled 1999-2002.

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Objective: Subtypes of gestational diabetes mellitus (GDM) based on insulin sensitivity and secretion have been described. We addressed the hypothesis that GDM subtypes are differentially associated with newborn and child anthropometric and glycemic outcomes.

Research Design And Methods: Newborn and child (age 11-14 years) outcomes were examined in 7,970 and 4,160 mother-offspring dyads, respectively, who participated in the Hyperglycemia and Adverse Pregnancy Outcome Study (HAPO) and Follow-Up Study.

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Objective: Reproductive history may help identify women at higher risk for experiencing menopausal symptoms. We hypothesized that gestation length and offspring birthweight for gestational age z-scores would be associated with menopausal symptoms and age at natural menopause in midlife among women in a longitudinal prebirth cohort.

Methods: Among 691 women enrolled in pregnancy and followed to midlife, we examined associations of gestation length and offspring birthweight for gestational age z-score at the index pregnancy with total menopausal symptoms assessed with the 11-item Menopause Rating Scale (MRS) using linear regression models, with individual menopausal symptoms using binomial regression models with a log link function, and with age at natural menopause using Cox proportional hazards models.

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Importance: The American Heart Association put forth the Life's Essential 8 construct to assess cardiovascular health (CVH) based on 8 behavioral and health factors. Few studies have characterized the natural history of CVH in early life or identified its sociodemographic determinants.

Objective: To characterize CVH trajectories across childhood and adolescence and identify associations with sociodemographic variables.

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Objective: To develop and validate a device that measures the pressure exerted by forceps on the fetal head for clinical use.

Background: The lack of clinical tools to quantify forceps pressure on the fetal head may impact maternal and neonatal outcomes. Existing studies have not measured the direct contact pressure between forceps blades and the fetal head, highlighting the need for innovation.

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Article Synopsis
  • The study explores the relationship between green space and childhood obesity by using advanced metrics like NDVI and street-view imagery, rather than solely relying on BMI.
  • Participants were assessed from mid-childhood through late adolescence to analyze how green space exposure relates to various measures of adiposity, including BMI and fat mass index.
  • The research aims to provide a more comprehensive understanding of how green environments may influence children's health outcomes over time, factoring in socio-economic and demographic variables.
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Background: Accurately capturing individuals' experiences with greenspace at ground-level can provide valuable insights into their impact on children's health. However, most previous research has relied on coarse satellite-based measurements.

Methods: We utilized CVH and residential address data from Project Viva, a US-based pre-birth cohort, tracking participants from mid-childhood to late adolescence (2007-21).

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Article Synopsis
  • - Children born via cesarean delivery have a greater risk of various health issues compared to those born vaginally, but the exact reasons are still not fully understood.
  • - A meta-analysis involving over 12,000 participants found six specific DNA methylation markers in newborns linked to cesarean delivery, but these markers did not persist into childhood.
  • - The study indicates that cesarean delivery affects certain blood cell proportions at birth, but further research is necessary to understand its long-term impacts on child health.
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Embedded in the Developmental Origins of Health and Disease hypothesis, maternal hyperglycemia in utero, from pre-existing diabetes or gestational diabetes mellitus, predisposes the offspring to excess adiposity and heightened risk of prediabetes and type 2 diabetes development. This transmission creates a vicious cycle increasing the presence of diabetes from one generation to another, leading to the question: how can we interrupt this vicious cycle? In this Perspective article, we presented the current state of knowledge on the intergenerational transmission of diabetes from epidemiological life course studies. Then, we discussed the potential mechanisms implicated in the intergenerational transmission of diabetes with a focus on epigenetics.

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  • The study aimed to find specific circulating microRNAs in the first trimester of pregnancy that are linked to preeclampsia (PE) and evaluate their predictive power across two different groups of women.
  • Researchers analyzed plasma samples from two cohorts and identified 73 microRNAs associated with PE, narrowing down to five that showed promise when tested in the second cohort.
  • The inclusion of specific microRNAs, particularly miR-194-5p and miR-1278, improved prediction models for assessing PE risk when combined with traditional risk factors, showing a notable increase in accuracy.
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  • The study investigates how prenatal exposure to metals influences kidney function in adolescents, specifically through measuring metal concentrations in the blood during pregnancy and their association with estimated glomerular filtration rate (eGFR) in teenagers.
  • Results showed that higher levels of certain metals like cadmium, chromium, nickel, and vanadium in the first trimester correlated with lower eGFR, but these findings were not statistically significant after accounting for multiple comparisons.
  • The research emphasizes the need for further exploration of how prenatal environmental factors, particularly metal exposure, could impact long-term kidney health and function.
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Background: Dual-energy x-ray absorptiometry reference data designate Black and non-Black categories, as higher BMD has been documented among Black youth. We examined associations of race, skin tone, and genetic factors with bone mineral density (BMD).

Methods: 557 adolescents were followed longitudinally.

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Context: Concentration of circulating anti-Müllerian hormone (AMH) predicts short-term (3-5 years) bone loss around menopause. Whether AMH during mid-reproductive years predicts bone health over a decade later is unknown.

Objective: To study the association of AMH levels in mid-reproductive years with bone density and turnover biomarkers measured after ∼14 years of follow-up.

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Article Synopsis
  • Low maternal vitamin D levels during pregnancy have been linked to various health issues in offspring and may affect DNA methylation, a process that influences gene expression.
  • The study examined the relationship between maternal vitamin D insufficiency (defined as less than 75 nmol/L) and DNA methylation patterns in the cord blood of newborns using data from 3738 mother-child pairs across seven cohorts.
  • Despite a significant prevalence of vitamin D insufficiency among the mothers (ranging from 44.3% to 78.5%), the research found no significant association between maternal vitamin D levels and DNA methylation at the analyzed sites after adjusting for various factors.
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  • Pregnancy loss may be linked to higher blood pressure (BP) in midlife, based on a study involving participants from the Project Viva cohort who reported their pregnancy history around 18 years after enrollment.
  • Of the 623 participants, about 34% experienced pregnancy loss, with results showing that those who had pregnancy loss had a mean increase in systolic BP (SBP), especially among those who lost their first pregnancy after age 35.
  • The study suggests that recognizing pregnancy loss is crucial for understanding cardiovascular health risks in women, providing insights for prevention strategies moving forward.
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  • Genome-wide association studies have found numerous genetic loci linked to glycemic traits, but connecting these loci to specific genes and biological pathways remains a challenge.
  • Researchers conducted meta-analyses of exome-array studies across four glycemic traits, analyzing data from over 144,000 participants, which led to the identification of coding variant associations in more than 60 genes.
  • The study revealed significant pathways related to insulin secretion, zinc transport, and fatty acid metabolism, enhancing understanding of glycemic regulation and making data available for further research.
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Article Synopsis
  • Research indicates that exposure to PFAS during pregnancy could increase the risk of developing obesity and related health issues later in life.
  • A study involving 547 women showed that higher levels of certain PFAS, like PFOS, in early pregnancy are linked to increased midlife weight and body fat, while others like perfluorononanoate were associated with lower weight.
  • The findings suggest that specific PFAS exposures during pregnancy might have different impacts on maternal body fat, potentially affecting long-term heart and metabolic health.
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Objective: Gut microbes and microbe-dependent metabolites (eg, tryptophan-kynurenine-serotonin pathway metabolites) have been linked to systemic inflammation, but the microbiota-metabolite-inflammation axis remains uncharacterised in children. Here we investigated whether gut microbiota features and circulating metabolites (both microbe-dependent and non-microbe-dependent metabolites) associated with circulating inflammation markers in children.

Methods: We studied children from the prospective Gen3G birth cohort who had data on untargeted plasma metabolome (n=321 children; Metabolon platform), gut microbiota (n=147; 16S rRNA sequencing), and inflammation markers (plasminogen activator inhibitor-1 (PAI-1), monocyte chemoattractant protein-1, and tumour necrosis factor-α) measured at 5-7 years.

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Article Synopsis
  • Pregnancy changes how a mother’s body handles sugar, making her a bit insulin resistant and lowering her sugar levels over time.
  • * Scientists studied the genes of pregnant women and new moms to see how their sugar-related traits differ during and after pregnancy.
  • * They found specific gene changes linked to how well sugar is managed in the body while pregnant, showing both shared traits and differences from after the baby is born.
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Objective: This study aimed to identify whether cord blood DNA methylation at specific loci is associated with neonatal adiposity, a key risk factor for childhood obesity.

Methods: An epigenome-wide association study was conducted using the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study as a discovery sample. Linear regression models adjusted for maternal and offspring covariates and cell counts were used to analyze associations between neonatal adiposity as measured by sum of three skinfold thicknesses and cord blood DNA methylation.

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