Publications by authors named "Pigeyre M"

Background: The relationship between ankle blood pressure (BP) and cardiovascular disease remains unclear. We examined the relationships between known and new ankle BP indices and major cardiovascular outcomes in people with and without type 2 diabetes.

Methods: We used data from 3 large trials with measurements of ankle systolic BP (SBP), ankle-brachial index (ABI, ankle SBP divided by arm SBP), and ankle-pulse pressure difference (APPD, ankle SBP minus arm pulse pressure).

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  • - The study explored how and why overweight and obese pregnant women participated in an educational program that included nutritional workshops and physical activity sessions, with the goal of improving health behaviors and outcomes.
  • - Of the 187 women invited, only about 61.5% participated, and even fewer (45%) regularly attended sessions; higher household income correlated with regular attendance.
  • - While participation did not significantly change overall eating behaviors or physical activity levels, women who regularly attended showed temporary improvements in positive emotional well-being during the program.
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Background: Epigenetic modifications, particularly DNA methylation (DNAm) in cord blood, are an important biological marker of how external exposures during gestation can influence the in-utero environment and subsequent offspring development. Despite the recognized importance of DNAm during gestation, comparative studies to determine the consistency of these epigenetic signals across different ethnic groups are largely absent. To address this gap, we first performed epigenome-wide association studies (EWAS) of gestational age (GA) using newborn cord blood DNAm comparatively in a white European (n = 342) and a South Asian (n = 490) birth cohort living in Canada.

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  • Cognitive decline is a major concern with aging, linked to higher risks of dementia and stroke, though the exact causes are unclear.
  • A study of 1160 proteins in plasma found five that are associated with cognitive function, specifically in a test called DSST, with two proteins (NCAN and CDCP1) showing consistent results in a follow-up group.
  • The research indicates that some proteins may influence brain health and stroke risk, suggesting avenues for future research and potential drug treatments to help mitigate cognitive decline and related risks.
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  • The study aimed to find clinical and biochemical indicators that can point out individuals with dysglycaemia (diabetes/pre-diabetes) who do not experience serious health issues during follow-up.
  • Researchers analyzed data from the ORIGIN study involving over 12,500 adults to determine factors linked to remaining free from major health outcomes over a median follow-up of 6.2 years.
  • Key findings showed that younger age, female sex, and specific clinical and biomarker profiles can effectively identify individuals with prediabetes or early type 2 diabetes who are least likely to face serious health complications.
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Background And Aims: Few studies have compared arm and ankle blood pressures (BPs) with regard to peripheral artery disease (PAD) and mortality. These relationships were assessed using data from three large prospective clinical trials.

Methods: Baseline BP indices included arm systolic BP (SBP), diastolic BP (DBP), pulse pressure (arm SBP minus DBP), ankle SBP, ankle-brachial index (ABI, ankle SBP divided by arm SBP), and ankle-pulse pressure difference (APPD, ankle SBP minus arm pulse pressure).

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It has been postulated that rare coding variants (RVs; MAF < 0.01) contribute to the "missing" heritability of complex traits. We developed a framework, the Rare variant heritability (RARity) estimator, to assess RV heritability (h) without assuming a particular genetic architecture.

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Objectives: The association of diabetes, and COVID-19 infection has been studied extensively; however, the occurrence of diabetic ketoacidosis (DKA) or hyperglycemic/hyperosmolar states (HHS) in adults during the lockdown has not been well characterized. In this study, we aimed to identify the impact of the lockdown on occurrence and severity of DKA/HHS admissions and glycemic management.

Methods: A retrospective chart review was conducted of patients admitted to Hamilton Health Sciences with a diagnosis of DKA or HHS from April to September 2019 (pre-lockdown) and from April to September 2020 (lockdown).

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Objective: To determine whether adiposity depots modulate vaspin levels and whether vaspin predicts type 2 diabetes (T2D) risk, through epidemiological and genetic analyses.

Research Design And Methods: We assessed the relationship of plasma vaspin concentration with incident and prevalent T2D and adiposity-related variables in 1) the Prospective Urban and Rural Epidemiology (PURE) biomarker substudy (N = 10,052) and 2) the Outcome Reduction with Initial Glargine Intervention (ORIGIN) trial (N = 7,840), using regression models. We then assessed whether vaspin is causally associated with T2D and whether genetic variants associated with MRI-measured adiposity depots modulate vaspin levels, using two-sample Mendelian randomization (MR).

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Estimated glomerular filtration rate (eGFR) impacts the concentration of plasma biomarkers confounding biomarker association studies of eGFR with reverse causation. To identify biomarkers causally associated with eGFR, we performed a proteome-wide Mendelian randomization study. Genetic variants nearby biomarker coding genes were tested for association with plasma concentration of 1,161 biomarkers in a multi-ancestry sample of 12,066 participants from the Prospective Urban and Rural Epidemiological (PURE) study.

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Importance: Body mass index (BMI) is an easily obtained adiposity surrogate. However, there is variability in body composition and adipose tissue distribution between individuals with the same BMI, and there is controversy regarding the BMI associated with the lowest mortality risk.

Objective: To evaluate which of BMI, fat mass index (FMI), and waist-to-hip (WHR) has the strongest and most consistent association with mortality.

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Importance: Cardiometabolic parameters are established risk factors for COVID-19 severity. The identification of causal or protective biomarkers for COVID-19 severity may facilitate the development of novel therapies.

Objective: To identify protein biomarkers that promote or reduce COVID-19 severity and that mediate the association of cardiometabolic risk factors with COVID-19 severity.

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There is increasing evidence that the complexity of the retinal vasculature measured as fractal dimension, D, might offer earlier insights into the progression of coronary artery disease (CAD) before traditional biomarkers can be detected. This association could be partly explained by a common genetic basis; however, the genetic component of D is poorly understood. We present a genome-wide association study (GWAS) of 38,000 individuals with white British ancestry from the UK Biobank aimed to comprehensively study the genetic component of D and analyse its relationship with CAD.

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Article Synopsis
  • * A logistic regression analysis identified 25 protein biomarkers that act as independent indicators for each subtype of diabetes, providing insights into their unique characteristics.
  • * The performance of these biomarkers in predicting diabetes subtypes showed varying effectiveness, with AUC ROC values indicating moderate to good discrimination for each subtype, which may lead to improved diagnostic tests.
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Background: Fibroblast growth factor-23 (FGF-23) is associated with a range of cardiovascular and noncardiovascular diseases in conventional epidemiological studies, but substantial residual confounding may exist. Mendelian randomization approaches can help control for such confounding.

Methods: SCALLOP Consortium data of 19,195 participants were used to generate an FGF-23 genetic score.

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There is growing evidence that sex and gender differences play an important role in risk and pathophysiology of type 2 diabetes (T2D). Men develop T2D earlier than women, even though there is more obesity in young women than men. This difference in T2D prevalence is attenuated after the menopause.

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Introduction: Adenosine triphosphate-citrate lyase (ACLY) inhibition is a therapeutic strategy under investigation for atherosclerotic cardiovascular disease, nonalcoholic steatohepatitis, and metabolic syndrome. Mouse models suggest that ACLY inhibition could reduce inflammation and kidney fibrosis. Genetic analysis of ACLY in chronic kidney disease (CKD) has not been performed.

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Background: Atrial fibrillation (AF) is a cardiac arrhythmia associated with an elevated risk of stroke, heart failure, and mortality. However, preventative therapies are needed with ancillary benefits on its cardiovascular comorbidities. Lipoprotein(a) (Lp[a]) is a recognized risk factor for atherosclerotic cardiovascular disease (ASCVD), which itself increases AF risk, but it remains unknown whether Lp(a) is a causal mediator of AF independent of ASCVD.

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  • Uromodulin (UMOD) is a key gene linked to both simple and complex kidney diseases, with its protein being abundant in urine and associated with conditions like chronic kidney disease and hypertension.
  • Researchers conducted genome-wide screens using different assays to find significant genomic loci related to circulating uromodulin, identifying several key areas that influence its expression and functionality.
  • Their findings also connect uromodulin to other complex traits and suggest that certain genetic variants can affect serum uromodulin levels, providing a deeper understanding of its systemic roles and glycosylation patterns.
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Background: Epidemiological studies have reported conflicting findings on the potential adverse effects of long-term antihypertensive medication use on cancer risk. Naturally occurring variation in genes encoding antihypertensive drug targets can be used as proxies for these targets to examine the effect of their long-term therapeutic inhibition on disease outcomes.

Methods And Findings: We performed a mendelian randomization analysis to examine the association between genetically proxied inhibition of 3 antihypertensive drug targets and risk of 4 common cancers (breast, colorectal, lung, and prostate).

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Background: Mitochondrial DNA copy number (mtDNA-CN) is an accessible blood-based measurement believed to capture underlying mitochondrial (MT) function. The specific biological processes underpinning its regulation, and whether those processes are causative for disease, is an area of active investigation.

Methods: We developed a novel method for array-based mtDNA-CN estimation suitable for biobank-scale studies, called 'automatic mitochondrial copy (AutoMitoC).

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Rare genetic forms of obesity are linked to impaired energy balance (i.e., eating behaviour and energy expenditure) involving hypothalamic pathways.

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Aims/hypothesis: Data analyses from Swedish individuals with newly diagnosed diabetes have suggested that diabetes could be classified into five subtypes that differ with respect to the progression of dysglycaemia and the incidence of diabetes consequences. We assessed this classification in a multiethnic cohort of participants with established and newly diagnosed diabetes, randomly allocated to insulin glargine vs standard care.

Methods: In total, 7017 participants from the Outcome Reduction with Initial Glargine Intervention (ORIGIN) trial were assigned to the five predefined diabetes subtypes (namely, severe auto-immune diabetes, severe insulin-deficient diabetes, severe insulin-resistant diabetes, mild obesity-related diabetes, mild age-related diabetes) based on the age at diabetes diagnosis, BMI, HbA, fasting C-peptide levels and the presence of glutamate decarboxylase antibodies at baseline.

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Measures of obesity, including body mass index (BMI) and waist circumference (WC), do not fully capture the complexity of obesity-related health risks. This study identified distinct classes of obesity-related characteristics and evaluated their associations with BMI, WC, and percent body fat (%BF) using cross-sectional data from 30,096 participants aged 45-85 in the Canadian Longitudinal Study on Aging (2011-2015). Sixteen obesity-related variables, including behavioural, metabolic, physical health, and mental health/social factors, were included in a latent class analysis to identify distinct classes of participants.

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