Publications by authors named "Marie-Pierre Dube"

Background: Lifestyle factors like exercise and cognitive stimulation might help improve cognitive performance in older adults. However, studies investigating this, reported mixed results. Most of the data supporting the benefit of exercise comes from cross-sectional studies, cohort studies, or short intervention studies of 3-6 months with poorly designed control groups.

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Introduction: The apolipoprotein E () ɛ4 allele is a well-established risk factor for neurocognitive impairment (NCI), with varying impacts between men and women. This study investigates the distinct roles of sex and gender in modifying ɛ4-related NCI.

Methods: Biological sex was inferred from sex chromosomes, and a femininity score (FS) was used as a proxy for gender.

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Background: Type 2 diabetes presents significant public health challenges. The gut microbiome has emerged as a potential factor influencing glucose metabolism.

Methods: We performed a randomized, double-blind, single-center trial involving patients with type 2 diabetes and glycated hemoglobin (HbA1c) concentration of 7 % or greater.

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Background And Aims: Colchicine has emerged as a safe and inexpensive anti-inflammatory medication to target the residual risk of cardiovascular events in the secondary prevention of coronary artery disease. Two recently published randomized controlled trials (RCTs) investigating colchicine in the post-stroke and post-myocardial infarction (MI) populations warrant a re-evaluation of colchicine. New evidence was synthesized in a systematic review and meta-analysis to determine the long-term efficacy and safety of colchicine for the secondary prevention of vascular disease.

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Background: The 12-lead electrocardiogram (ECG) remains a cornerstone of cardiac diagnostics, yet existing artificial intelligence (AI) solutions for automated interpretation often lack generalizability, remain closed-source, and are primarily trained using supervised learning, limiting their adaptability across diverse clinical settings. To address these challenges, we developed and compared two open-source foundational ECG models: DeepECG-SSL, a self-supervised learning model, and DeepECG-SL, a supervised learning model.

Methods: Both models were trained on over 1 million ECGs using a standardized preprocessing pipeline and automated free-text extraction from ECG reports to predict 77 cardiac conditions.

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Heart failure (HF) is a major contributor to global morbidity and mortality. While distinct clinical subtypes, defined by etiology and left ventricular ejection fraction, are well recognized, their genetic determinants remain inadequately understood. In this study, we report a genome-wide association study of HF and its subtypes in a sample of 1.

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Article Synopsis
  • Statins are key medications used to prevent cardiovascular disease by not only lowering lipids but also reducing inflammation, measured by C-reactive protein (CRP).
  • Two significant genetic loci linked to how individuals respond to statin treatment in terms of changes in CRP levels were identified: APOE and HNF1A, both of which are associated with various health conditions like coronary artery disease and diabetes.
  • Further analysis suggests that the APOE-E4 variant may influence the effectiveness of statins, hinting at its potential role in personalized healthcare for those with cardiovascular and related conditions.
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Despite increased efforts to ensure diversity in genomic research, the exclusion of minority groups from data analyses and publications remains a critical issue. This paper addresses the ethical implications of these exclusions and proposes accountability for reasonableness (A4R) as a framework to promote fairness and equity in research. Originally conceived by Norman Daniels and James Sabin to guide resource allocation in the context of health policy, A4R emphasizes publicity, relevance of reasons, enforcement, and revision as essential for legitimacy and trust in the decision-making process.

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Background: Women are underrepresented in drug development trials and there is no sex-tailored drug regimen for most medications. It has been repeatedly shown that women have more adverse drug reactions than men for several medications. These differences could be explained by higher dose-adjusted drug concentrations in women.

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  • Dilated cardiomyopathy (DCM) is a major cause of heart failure, and this study analyzes genetic factors by examining 14,256 DCM cases and 36,203 participants from the UK Biobank for related traits.
  • Researchers discovered 80 genomic risk loci and pinpointed 62 potential effector genes tied to DCM, including some linked to rare variants.
  • The study uses advanced transcriptomics to explore how cellular functions contribute to DCM, showing that polygenic scores can help predict the disease in the general population and emphasize the importance of genetic testing and development of precise treatments.
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  • Iron is a vital mineral connected to various biological functions, with studies linking its dysregulation to cardiovascular and neurodegenerative diseases, though the cause-effect relationship remains unclear.
  • The research utilized computational methods and meta-analysis of genome-wide studies to look at how genetically predicted iron levels relate to the risk of 11 different diseases, revealing significant correlations especially with coronary heart disease and cholesterol levels.
  • The findings suggest a potential protective effect of iron on Parkinson's disease risk in women, highlighting the need for further exploration of how iron impacts health differently across sexes and could inform future disease prevention and treatment strategies.
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Background And Aims: Deep learning applied to electrocardiograms (ECG-AI) is an emerging approach for predicting atrial fibrillation or flutter (AF). This study introduces an ECG-AI model developed and tested at a tertiary cardiac centre, comparing its performance with clinical models and AF polygenic score (PGS).

Methods: Electrocardiograms in sinus rhythm from the Montreal Heart Institute were analysed, excluding those from patients with pre-existing AF.

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Background: Up to one-half of adults with congenital heart disease (CHD) experience psychological distress, including anxiety.

Objectives: This paper sought to: 1) assess the contribution of illness perception in explaining anxiety symptoms beyond sociodemographic and medical variables in adults with CHD; and 2) investigate the potential mediating effect of coping style.

Methods: CHD adult patients were recruited at Montreal Heart Institute between June 2019 and April 2021 for this cross-sectional study.

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  • Cohort studies have identified genetic factors that may predict how patients respond to allopurinol, but these have not been widely used for detailed genome analysis related to its metabolism.
  • A genome-wide association study was performed on 439 patients from the Montreal Heart Institute Biobank who were receiving allopurinol therapy and assessed various endpoints, such as plasma concentrations of its active metabolite, oxypurinol.
  • No significant associations were found for any of the investigated endpoints, highlighting the challenges in pinpointing genetic influences on allopurinol pharmacokinetics, indicating that larger studies may be necessary to enhance understanding in this area.
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  • The study investigates the genetic basis of supraventricular tachycardias, focusing on atrioventricular nodal reentrant tachycardia (AVNRT) and atrioventricular accessory pathways/reciprocating tachycardia (AVAP/AVRT).
  • Through multiancestry meta-analyses of genome-wide association studies, researchers identified significant genetic loci associated with AVNRT and AVAP/AVRT, implicating specific genes in these cardiac conditions.
  • The results suggest that gene regions related to ion channels and cardiac development play crucial roles in susceptibility to supraventricular tachycardias, potentially influencing other cardiovascular issues such as atrial fibrillation
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Background: Patients with congenital heart disease (CHD) and their parents face challenges throughout their lives that can lead to anxiety lasting into adulthood. We aim to assess the association between perceived parenting practices and anxiety beyond paediatric medical-surgical histories in adults with CHD.

Methods: A cross-sectional study of adults with CHD was conducted at the Montreal Heart Institute (MHI).

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Objective: Childhood maltreatment is associated with shorter leukocyte telomere length (LTL). However, the influence of cardiac vagal control on this relation is unknown. We examined whether cardiac vagal control at rest and in response to stress moderates or cross-sectionally mediates the relationship between childhood maltreatment and LTL.

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Hotter climates have important impacts on human health and performance. Yet, the cellular and molecular responses involved in human heat stress and acclimation remain understudied. This dataset includes physiological measurements and the plasma concentration of 2,938 proteins collected from 10 healthy adults, before and during passive heat stress that was performed both prior to and after a 7-day heat acclimation protocol.

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Small studies suggest that amiodarone is a weak inhibitor of cytochrome P450 (CYP) 2D6. Inhibition of CYP2D6 leads to increases in concentrations of drugs metabolized by the enzyme, such as metoprolol. Considering that both metoprolol and amiodarone have β-adrenergic blocking properties and that the modest interaction between the two drugs would result in increased metoprolol concentrations, this could lead to a higher risk of bradycardia and atrioventricular block.

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Few genome-wide association studies (GWASs) have been conducted to identify predictors of drug concentrations. The authors therefore sought to discover the pharmacogenomic markers involved in metoprolol pharmacokinetics. The authors performed a GWAS of a cross-sectional study of 993 patients from the Montreal Heart Institute Biobank taking metoprolol.

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Background: Cancer survivors are at an increased risk of cardiovascular disease (CVD) compared with the general population. We sought to evaluate the impact of mosaic chromosomal alterations (mCA) on death of CVD causes, coronary artery disease (CAD) causes, and of any cause in patients with a cancer diagnosis.

Methods: The study was a prospective cohort analysis of 48,919 UK Biobank participants with a cancer diagnosis.

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Background: Childhood maltreatment can result in lifelong psychological and physical sequelae, including coronary artery disease (CAD). Mechanisms leading to increased risk of illness may involve emotional dysregulation and shortened leukocyte telomere length (LTL).

Methods: To evaluate whether (1) childhood maltreatment is associated with shorter LTL among older adults with CAD or other chronic illnesses; (2) sex and/or CAD status influence these results; and (3) symptoms of anxiety, depression, and stress moderate or mediate the association between childhood maltreatment and LTL, men and women ( = 1247; aged 65 ± 7.

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  • Aging affects blood cell production, showing increased neutrophils and monocytes, and fewer lymphocytes, particularly in older individuals with chronic diseases.
  • Genetic factors play a role in neutrophil counts, but their influence declines with age, giving way to acquired factors, especially in those with cardiometabolic issues.
  • The study implies that as we age, inflammation and other external factors might contribute to a shift towards more myeloid cells, without a direct correlation with clonal hematopoiesis.
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Females present a higher risk of adverse drug reactions. Sex-related differences in drug concentrations may contribute to these observations but they remain understudied given the underrepresentation of females in clinical trials. The aim of this study was to investigate whether anthropometric and socioeconomic factors and comorbidities could explain sex-related differences in concentrations and dosing for metoprolol and oxypurinol, the active metabolite of allopurinol.

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Article Synopsis
  • Genetic variants in drug targets, specifically CETP, can help predict how sex and body mass index (BMI) impact drug effects on cardiovascular health.
  • In a study with UK Biobank participants, it was found that women and those with lower BMI had more favorable lipid profiles linked to genetically lower CETP levels.
  • While sex affected some lipid-related outcomes, it didn't influence cardiovascular outcomes, suggesting the need for personalized medicine approaches based on genetic factors.
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