Publications by authors named "Maxime Bos"

Limited population-based data on the gender differences and association between arteriosclerotic calcification at different sites and atrial fibrillation (AF) exist. We aimed to investigate the (gender-specific) associations between arteriosclerotic calcification at different sites with the risk of AF in the general population. Arteriosclerotic calcification was quantified using computed tomography examinations between 2003 and 2006 in 2,259 participants free of AF from the population-based Rotterdam Study.

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  • The study investigates the relationship between serum calcium levels and ventricular repolarization time, specifically the QT and JT intervals, which are important for heart health.
  • Researchers conducted large-scale genome-wide analyses to explore potential interactions between calcium levels and genetic variants associated with QT and JT intervals, using over 122,000 participants.
  • The results showed limited evidence for the hypothesized calcium interaction effects, suggesting that other factors, such as rare genetic variations or environmental influences, likely play a larger role in the unexplained heritability of QT and JT intervals.
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  • The study aimed to find genetic risk factors for cardiovascular disease (CVD) in individuals with type 2 diabetes (T2D) through a genome-wide association approach.
  • Out of 49,230 T2D participants, 8,956 experienced incident CVD events, revealing three new genetic loci associated with increased CVD risk and confirming five known coronary artery disease variants.
  • The findings suggest both novel and established genetic factors contribute to CVD risk in T2D patients, highlighting the importance of genetic screening in this population.
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  • Coronary artery disease (CAD) involves the buildup of atherosclerotic plaques in arteries, with complex interactions between vascular and immune cells contributing to its progression.
  • This study integrates data from 22 single-cell RNA sequencing libraries, analyzing 118,578 cells to map human atherosclerosis and to better understand cell diversity and communication.
  • Key findings include the identification of smooth muscle cell (SMC) markers linked to CAD and atherosclerosis progression, which were validated through various analyses, aiming to inform future cardiovascular research.
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Aims: The extent to which the contribution of pregnancy loss to cardiovascular diseases (CVDs) can be explained by metabolic disorders is poorly elucidated but holds insights for reducing long-term cardiovascular risk. The aim of this study is to investigate the mediating effects of hypertension, diabetes mellitus (DM), and lipoprotein metabolism disorders on the association of miscarriage and stillbirth with coronary heart disease (CHD), stroke, heart failure, atrial fibrillation, and composite outcomes.

Methods And Results: A total of 163 283 ever-gravid women (age 55.

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Coronary artery calcification (CAC), a measure of subclinical atherosclerosis, predicts future symptomatic coronary artery disease (CAD). Identifying genetic risk factors for CAC may point to new therapeutic avenues for prevention. Currently, there are only four known risk loci for CAC identified from genome-wide association studies (GWAS) in the general population.

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  • - The study investigates the genetic factors contributing to increased cardiovascular disease (CVD) risk in individuals with type 2 diabetes mellitus (T2D) by analyzing data from multiple studies within the CHARGE Consortium.
  • - Researchers performed a genome-wide association study (GWAS) on 49,230 T2D participants, identifying three novel genetic loci significantly associated with incident CVD and confirming associations with 32 out of 204 known coronary artery disease variants.
  • - Findings point to specific genetic variants that may help better understand the underlying mechanisms of CVD in T2D patients, potentially informing future research and treatments.
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Importance: Coronary artery calcium score and polygenic risk score have each separately been proposed as novel markers to identify risk of coronary heart disease (CHD), but no prior studies have directly compared these markers in the same cohorts.

Objective: To evaluate change in CHD risk prediction when a coronary artery calcium score, a polygenic risk score, or both are added to a traditional risk factor-based model.

Design, Setting, And Participants: Two observational population-based studies involving individuals aged 45 years through 79 years of European ancestry and free of clinical CHD at baseline: the Multi-Ethnic Study of Atherosclerosis (MESA) study involved 1991 participants at 6 US centers and the Rotterdam Study (RS) involved 1217 in Rotterdam, the Netherlands.

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Objective: In this study, we aimed to establish the causal effects of lowering sclerostin, target of the antiosteoporosis drug romosozumab, on atherosclerosis and its risk factors.

Methods: A genome-wide association study meta-analysis was performed of circulating sclerostin levels in 33,961 European individuals. Mendelian randomization (MR) was used to predict the causal effects of sclerostin lowering on 15 atherosclerosis-related diseases and risk factors.

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Background: A comprehensive evaluation of woman-specific risk factors in relation to incident heart failure (HF) is limited.

Objectives: This study sought to investigate the association of multiple female reproductive factors with the risk of HF.

Methods: Between 2007 and 2010, 229,026 women (mean age: 56.

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  • Heart failure is becoming more common in older populations, and research suggests that DNA damage plays a key role in this condition.
  • Scientists hypothesized that the ability to repair DNA in heart cells is crucial for maintaining heart function, and disrupting certain DNA repair genes (XPG and ERCC1) leads to severe heart problems and early death in mice.
  • Analysis revealed that the lack of DNA repair causes increased oxidative stress, fibrosis, and apoptosis in heart tissue, pointing to DNA damage as a potential target for new treatments for heart failure.
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Objective: We studied if large artery stiffness is involved in type 2 diabetes pathogenesis. We also investigated the effect of genetic risk for type 2 diabetes in these associations and the causality.

Research Design And Methods: In the prospective population-based Rotterdam Study (n = 3,055; mean age, 67.

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  • The study investigates the relationship between autoimmune diseases and the risk of developing new-onset atrial fibrillation (AF), suggesting that inflammation may play a role in AF's underlying mechanisms.
  • Using data from the UK Biobank involving over 494,000 participants, researchers found that conditions like rheumatoid arthritis and systemic lupus erythematosus were associated with a higher risk of AF, especially in women.
  • The findings highlight significant gender differences in AF risk related to autoimmune diseases and contribute to understanding the complex mechanisms linking autoimmunity and heart health.
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Importance: Atrial fibrillation (AF) is the most common cardiac arrhythmia worldwide, with different epidemiological and pathophysiological processes for women vs men and a poorer prognosis for women. Further investigation of sex-specific risk factors associated with AF development in women is warranted.

Objective: To investigate the linear and potential nonlinear associations between sex-specific risk factors and the risk of new-onset AF in women.

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Background: The potential bidirectional causal association between kidney function and atrial fibrillation (AF) remains unclear.

Methods: We conducted a bidirectional two-sample Mendelian randomization (MR) analysis. From multiple genome-wide association studies (GWAS), we retrieved genetic variants associated with kidney function (estimated glomerular filtration rate based on creatinine (eGFRcreat), blood urea nitrogen (BUN), chronic kidney disease (CKD stage ≥G3): n = 1,045,620, eGFR based on cystatin C: n = 24,063-32,861, urine albumin-to-creatinine ratio (UACR), and microalbuminuria: n = 564,257), and AF (n = 1,030,836).

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Background: MicroRNAs (miRNAs), small non-coding RNAs regulating gene expression, have been shown to play an important role in cardiovascular disease. However, limited population-based data regarding the relationship between circulatory miRNAs in plasma and atrial fibrillation (AF) exist. Moreover, it remains unclear if the relationship differs by sex.

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Background: Observational studies suggest interconnections between thyroid status, metabolism, and risk of coronary artery disease (CAD), but causality remains to be proven. The present study aimed to investigate the potential causal relationship between thyroid status and cardiovascular disease and to characterize the metabolomic profile associated with thyroid status.

Methods: Multi-cohort two-sample Mendelian randomization (MR) was performed utilizing genome-wide significant variants as instruments for standardized thyrotropin (TSH) and free thyroxine (fT4) within the reference range.

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  • The study investigated how physical activity, oily fish, and polyunsaturated fatty acid (PUFA) intake affect coronary artery disease (CAD) risk in relation to the APOE ε4 genotype, which is linked to higher CAD risk.
  • Data were collected from over 345,000 participants in the UK Biobank, focusing on their lifestyle choices and health outcomes, specifically looking for differences in CAD incidence based on APOE genotype.
  • Results showed that while increased physical activity and fish intake generally lowered CAD risk for all genotypes, PUFA intake significantly reduced risk only for those with the APOE ε4 genotype, although overall, lifestyle factors did not interact significantly with APOE genotype regarding CAD risk.
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Context: Thyroid status is hypothesized to be causally related with the risk of diabetes mellitus (DM), but previous results were conflicting possibly because of a complex interaction between thyrotropin (TSH), body mass index (BMI) and DM.

Objective: This work aims to investigate the causal association between thyroid status with DM and glucose homeostasis and to what extent this association is dependent on BMI.

Methods: A mendelian randomization study was conducted of European-ancestry participants from the UK Biobank population.

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  • Sleep traits like insomnia and shorter sleep duration are linked to a higher risk of coronary artery disease, with evidence from studies suggesting they negatively affect metabolic health.
  • The study combined adjusted multivariable regression and Mendelian randomization analyses to explore how these sleep traits influence 113 different metabolomic traits, specifically looking at data from large groups primarily of European ancestry.
  • Results indicated that insomnia symptoms were associated with lower levels of citrate and HDL particles, while longer sleep duration correlated with higher levels of creatinine and isoleucine, suggesting specific biochemical pathways connecting sleep patterns to cardiovascular health risks.
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Introduction: Several plasma metabolites have been associated with insulin resistance and type 2 diabetes mellitus.

Objectives: We aimed to identify plasma metabolites associated with different indices of early disturbances in glucose metabolism and insulin sensitivity.

Methods: This cross-sectional study was conducted in a subsample of the Leiden Longevity Study comprising individuals without a history of diabetes mellitus (n = 233) with a mean age of 63.

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  • Short and long sleep durations are linked to negative lipid profiles through different biological processes, which can affect levels of HDL, LDL, and triglycerides.* -
  • A study with 126,926 participants from diverse ancestries identified 49 new gene variants related to lipid levels influenced by sleep duration, as well as 10 additional variants specifically in European ancestry cohorts.* -
  • The research highlights important gene-sleep interactions that could explain variations in triglyceride levels, enhancing our knowledge of how sleep affects lipid metabolism.*
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Obesity is a causal risk factor for the development of age-related disease conditions, which includes Type 2 diabetes mellitus, cardiovascular disease, and dementia. In genome-wide association studies, genetic variation in is strongly associated with obesity and has been described across different ethnic backgrounds and life stages. To date, much work has been devoted on determining the biological mechanisms via which affects body weight regulation and ultimately contributes to age-related cardiometabolic and brain disease.

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Evidence on whether habitual sleep duration and sleep quality are associated with increased insulin resistance is inconsistent. Here, we investigated the associations between different measures of habitual sleep with glycemic traits through cross-sectional and Mendelian randomization (MR) analyses. We assessed the associations of sleep duration and sleep quality with glycemic traits using multivariable linear regression models adjusted for potential confounders in 4672 middle-aged (45-65 years; 48% men) nondiabetic participants of the Netherlands Epidemiology of Obesity (NEO) study.

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Short and long sleep duration and poor sleep quality may affect serum and hepatic lipid content, but available evidence is inconsistent. Therefore, we aimed to investigate the associations of sleep duration and quality with serum and hepatic lipid content in a large population-based cohort of middle-aged individuals. The present cross-sectional study was embedded in the Netherlands Epidemiology of Obesity (NEO) study and consisted of 4260 participants (mean age, 55 years; proportion men, 46%) not using lipid-lowering agents.

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