Publications by authors named "Mook-Kanamori D"
Objectives: The overall impact of the COVID-19 pandemic on mortality can be estimated by the assessment of excess deaths from all causes because the reported number of deaths due to COVID-19 do not accurately reflect the true death toll. We assessed excess mortality in 2020 and 2021 in the Netherlands.
Methods: All analyses were performed on data from comprehensive nationwide registers provided by Statistics Netherlands (Centraal Bureau voor de Statistiek), including demographic characteristics and mortality.
Robust metabolomic age prediction based on a wide selection of metabolites.
J Gerontol A Biol Sci Med Sci
January 2025
Chronological age is a major risk factor for numerous diseases. However, chronological age does not capture the complex biological aging process. the difference between the chronological age and biologically driven aging could be more informative in reflecting health status.
View Article and Find Full Text PDFBackground: Routine body mass index (BMI) recording in electronic health records (EHR) could support general practitioners (GPs) in managing patients with obesity. This study aimed to evaluate recording practices of BMI, overweight, and obesity in adults including subgroup analysis of age, sex, and comorbidities in primary care in the Netherlands.
Methods: An observational study of individuals aged ≥ 18 years and registered between 2007 and 2023, using routine healthcare data from the Extramural LUMC Academic Network (ELAN) in the Netherlands.
Aims: Adults with type 2 diabetes have an increased risk of cardiovascular events (CVE), the world's leading cause of mortality. The SCORE2-Diabetes model is a tool designed to estimate the 10-year risk of CVE specifically in individuals with type 2 diabetes. However, the performance of such models may vary across different demographic and socioeconomic groups, necessitating validation and assessment in diverse populations.
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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.
Article Synopsis
- This study investigates the occurrence, symptom patterns, and factors influencing post-acute COVID symptoms in a sample of the Dutch population using data from the COVID RADAR app.
- The research included 1478 participants who recorded their symptoms from 40 days before to 100 days after a positive COVID test, identifying cough, loss of smell or taste, and fatigue as the most common ongoing symptoms.
- The findings revealed that about 8% of participants still had symptoms after 100 days, with symptoms grouped into three clusters and vaccination linked to a reduced risk of long-term symptoms, highlighting the complexity of post-acute COVID experiences.
Article Synopsis
- Genetic studies have highlighted the need for more diverse research on plasma fibrinogen levels, as previous studies largely focused on Europeans, leading to gaps in understanding and missing heritability.
- By analyzing data from whole-genome sequencing and genotype data from large cohorts, researchers identified 18 genetic loci related to fibrinogen levels, some of which are more common in African populations and include variants that may impact protein function.
- The study's findings indicate a connection between fibrinogen levels and various health conditions, emphasizing the importance of whole-genome sequencing in discovering genetic factors in diverse populations and enhancing knowledge about fibrinogen regulation.
Article Synopsis
- 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.
Article Synopsis
- This study integrates 18 advanced omics technologies using samples from 391 participants to analyze complex physiological processes and pathologies related to diabetes.* -
- With over 6,000 molecular traits and various genetic and epigenetic factors, the research establishes a comprehensive molecular network showcasing significant correlations between different traits in biological fluids.* -
- The findings not only shed light on diabetes subtypes but also provide an open-access web interface for users to explore the molecular data and generate new hypotheses.*
Soft tissue infections are common, but can be difficult to diagnose and manage. In this article, the classification of soft tissue infections is discussed, as well as the diagnostic possibilities and treatment options. Furthermore, the management of recurrent infections and necrotizing soft tissue infections are discussed.
View Article and Find Full Text PDFBackground: Metabolite abundance is a dynamic trait that varies in response to environmental stimuli and phenotypic traits, such as food consumption and body mass index (BMI, kg/m).
Objectives: In this study, we used the Netherlands Epidemiology of Obesity (NEO) study data to identify observational and causal associations between BMI and metabolite response to a liquid meal.
Methods: A liquid meal challenge was performed, and Nightingale Health metabolite profiles were collected in 5744 NEO participants.
Article Synopsis
- - This study conducted a genome-wide association analysis on metabolic traits in over 136,000 participants, revealing over 400 genetic loci that influence human metabolism and complex diseases.
- - Researchers used advanced techniques like nuclear magnetic resonance spectroscopy to link specific genetic variants with how they affect lipoprotein metabolism and other metabolic processes.
- - The findings highlight the genetic connections between metabolism and conditions such as hypertension, providing valuable data for further research on metabolic-related diseases.
Article Synopsis
- Type 2 diabetes (T2D) is a complex disease influenced by various genetic factors and molecular mechanisms that vary by cell type and ancestry.
- In a large study involving over 2.5 million individuals, researchers identified 1,289 significant genetic associations linked to T2D, including 145 new loci not previously reported.
- The study categorized T2D signals into eight distinct clusters based on their connections to cardiometabolic traits and showed that these genetic profiles are linked to vascular complications, emphasizing the role of obesity-related processes across different ancestry groups.
Article Synopsis
- * Discovery of 7 new genetic loci associated with FVIII and 1 new locus for VWF, supporting their roles in thrombotic outcomes via Mendelian randomization.
- * Functional testing revealed that silencing genes like B3GNT2 and CD36 impacted FVIII and VWF release from endothelial cells, indicating their potential regulatory roles.
Article Synopsis
- X-chromosomal genetic variants can provide important information about differences in human traits and diseases between sexes.
- A large-scale study analyzed kidney-related traits in nearly 909,000 individuals, finding 23 genetic loci linked to uric acid levels and estimated glomerular filtration rate (eGFR), including four new genes that may play a role in kidney function.
- The research also discovered five novel sex-specific interactions, with variations showing different effects in males and females, and highlighted genes that are responsive to androgens (male hormones), indicating a complex relationship between sex and kidney-related genetics.
The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) is increasing at an alarming rate. Elevated liver enzymes are a primary reason to refer patients for further testing. However, liver enzymes within the normal range do not exclude the presence of MASLD.
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- Educational attainment is linked to cardiovascular health, and a large genomic study examined how it interacts with cholesterol and triglyceride levels in nearly 226,315 individuals across five population groups.
- The study identified 18 new genetic variations related to lipid levels—nine for low-density lipoprotein (LDL), seven for high-density lipoprotein (HDL), and two for triglycerides (TG)—some of which interact with educational attainment.
- Researchers also found five gene targets that potentially interact with FDA-approved drugs, suggesting a connection between genetics and drug responses related to lipid metabolism and overall health.
Background: Early diagnosis and treatment of obesity in primary care may help to tackle the obesity pandemic. Nonetheless, GPs frequently fail to address obesity and demonstrate limited adherence to guidelines.
Aim: To explore Dutch GPs' perspectives on addressing obesity regarding the following three target behaviours: discussing weight; diagnosing; and referring patients with obesity.
Article Synopsis
- This study examines the relationship between resting heart rate and cardiovascular diseases, identifying 493 genetic variants linked to this trait through a large-scale analysis of 835,465 individuals.
- It highlights the significance of higher genetically predicted resting heart rates, which are associated with an increased risk of dilated cardiomyopathy but lower risk for conditions like atrial fibrillation and ischemic strokes.
- The study also challenges previous findings on resting heart rate and all-cause mortality, suggesting earlier results may have been influenced by biases, ultimately enhancing our understanding of the biological implications of resting heart rate in cardiovascular health.
Metabolome reflects the interplay of genome and exposome at molecular level and thus can provide deep insights into the pathogenesis of a complex disease like major depression. To identify metabolites associated with depression we performed a metabolome-wide association analysis in 13,596 participants from five European population-based cohorts characterized for depression, and circulating metabolites using ultra high-performance liquid chromatography/tandem accurate mass spectrometry (UHPLC/MS/MS) based Metabolon platform. We tested 806 metabolites covering a wide range of biochemical processes including those involved in lipid, amino-acid, energy, carbohydrate, xenobiotic and vitamin metabolism for their association with depression.
View Article and Find Full Text PDFSkull bone mineral density (SK-BMD) provides a suitable trait for the discovery of key genes in bone biology, particularly to intramembranous ossification, not captured at other skeletal sites. We perform a genome-wide association meta-analysis (n ~ 43,800) of SK-BMD, identifying 59 loci, collectively explaining 12.5% of the trait variance.
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- Genetic studies on plasma fibrinogen levels primarily focused on Europeans, revealing numerous associated regions, but there are gaps in understanding due to missing heritability and representation of non-Europeans.
- The researchers utilized whole genome sequencing (WGS) and array-based genotyping data from large cohorts to identify 18 new genetic loci linked to fibrinogen levels, with some variants more common in African populations.
- The study highlights the importance of WGS in discovering genetic variations across diverse populations, linking fibrinogen polygenic risk scores to increased risk for thrombotic and inflammatory diseases like gout.