Publications by authors named "Anders Gummesson"

Background And Aims: The relationship between skeletal muscle features and hepatic fat infiltration remains understudied. To address this knowledge gap, a cross-sectional observational study was conducted using data from two ancillary studies of the SCAPIS cohort.

Method: The study aimed to examine the relationship between skeletal thigh muscle radiodensity (Hounsfield Units, HU) and area (cm), and metabolic dysfunction-associated steatotic liver disease (MASLD) and hepatic radiodensity (HU).

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Background: Metformin is one of the most used drugs worldwide. Given the increasing use of proteomics in trials, bioresources, and clinics, it is crucial to understand the influence of metformin on the levels of the circulating proteome.

Methods: We analysed a combined longitudinal proteomics dataset from the IMPOCT, RAMP and S3WP-T2D clinical trials in 98 participants before and after metformin exposure.

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Atherosclerosis is the main underlying cause of cardiovascular diseases. Its prevention is based on the detection and treatment of traditional cardiovascular risk factors. However, individuals at risk for early vascular disease often remain unidentified.

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Background: Preserved ratio impaired spirometry (PRISm) is a spirometry pattern of interest regarding incident airflow obstruction and higher mortality risk. We applied a proteomic approach to gain more insight into the biological mechanisms associated with PRISm.

Methods: From the population-based Swedish Cardiopulmonary Bioimage Study (SCAPIS), participants in the Main (n=4835) and Pilot (n=1054) studies, were included as discovery and replication cohorts.

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Aim: Habitual physical activity (PA) affects metabolism and homeostasis in various tissues and organs. However, detailed knowledge of associations between PA and cardiovascular disease (CVD) risk markers is limited. We sought to identify associations between accelerometer-assessed PA classes and 183 proteomic and 154 metabolomic CVD-related biomarkers.

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Aims/hypothesis: Epidemiological studies indicate that type 2 diabetes increases the risk for Alzheimer's disease. Alterations in cerebral metabolism have been proposed as a potential mechanism underlying this association. A better understanding of these metabolic changes may elucidate potential pathways linking type 2 diabetes to Alzheimer's disease.

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The present study aimed to characterize the SCN5A variant I1333V, found in five families with a history of suspected catecholaminergic polymorphic ventricular tachycardia (CPVT). SCN5A encodes the pore-forming subunit of the cardiac voltage-gated sodium channel Na1.5.

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Imaging-defined atherosclerosis represents an intermediate phenotype of atherosclerotic cardiovascular disease (ASCVD). Genome-wide association studies (GWAS) on directly measured coronary plaques using coronary computed tomography angiography (CCTA) are scarce. In the so far largest population-based cohort with CCTA data, we performed a GWAS on coronary plaque burden as determined by the segment involvement score (SIS) in 24,811 European individuals.

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Background: The best use of cardiac imaging to guide preventive coronary heart disease (CHD) treatment is debated. Current guidelines recommend the pooled cohort equation, followed by computed tomography for coronary artery calcification (CAC) assessment. We evaluated if this approach could be simplified using a self-report risk algorithm instead of the pooled cohort equation.

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Pathogenic variants in the EMD gene cause X-linked Emery-Dreifuss muscular dystrophy type 1 (EDMD1), typically presenting with joint contractures and skeletal muscle atrophy, followed by atrial arrhythmias, cardiac conduction defects, and atrial dilatation. Although an association with isolated dilated cardiomyopathy (DCM) has been suggested, evidence is currently insufficient to verify the gene-disease association. We investigated the causality of a missense variant, c.

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The genetic contributions to early onset heart failure (HF) are incompletely understood. Genetic testing in advanced HF patients undergoing heart transplantation (HTx) may yield clinical benefits, but data is limited. We performed deep-coverage whole genome sequencing (WGS) in 102 Swedish HTx recipients.

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Background: Dyslipidaemia in patients with diabetes contributes to the risk of atherosclerotic cardiovascular disease. We aimed to identify a dyslipidemic profile associated with both dysglycemia and subclinical coronary atherosclerosis.

Methods: Study participants (n = 5050) were classified in three groups: normoglycemia, pre-diabetes, and diabetes.

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Steatotic liver disease has been shown to associate with cardiovascular disease independently of other risk factors. Lipoproteins have been shown to mediate some of this relationship but there remains unexplained variance. Here we investigate the plasma lipidomic changes associated with liver steatosis and the mediating effect of these lipids on coronary artery disease (CAD).

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Background: Triglyceride-rich lipoproteins and remnants (TRL/remnants) have a causal, but not yet quantified, relationship with coronary heart disease (CHD): myocardial infarction plus revascularization.

Objectives: The authors sought to estimate TRL/remnant per-particle atherogenicity, investigate causal relationships with inflammation, and determine whether differences in the atherogenicity of TRL/remnants and low-density lipoprotein (LDL) impact the causal association of non-high-density lipoprotein cholesterol (non-HDL-C) with CHD.

Methods: Single nucleotide polymorphisms (SNPs) (N = 1,357) identified by genome-wide association in the UK Biobank were ranked into 10 clusters according to the effect on TRL/remnant-C vs LDL-C.

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The alpha 7 nicotinic acetylcholine receptor (α7nAChR) regulates inflammation in experimental models and is expressed in human peripheral blood mononuclear cells (PBMCs) and in human atherosclerotic plaques. However, its role in regulating inflammation in patients with cardiovascular disease is unknown. This study aims to investigate whether α7nAChR stimulation can reduce the inflammatory response in PBMCs from patients with newly diagnosed coronary artery disease (CAD).

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Background: Coronary atherosclerosis detected by imaging is a marker of elevated cardiovascular risk. However, imaging involves large resources and exposure to radiation. The aim was, therefore, to test whether nonimaging data, specifically data that can be self-reported, could be used to identify individuals with moderate to severe coronary atherosclerosis.

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Aims: Improved identification of individuals at high risk of developing cardiovascular disease would enable targeted interventions and potentially lead to reductions in mortality and morbidity. Our aim was to determine whether use of large-scale proteomics improves prediction of cardiovascular events beyond traditional risk factors (TRFs).

Methods And Results: Using proximity extension assays, 2919 plasma proteins were measured in 38 380 participants of the UK Biobank.

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Article Synopsis
  • - Recent advances in high-throughput proteomics allow for potential new biomarkers for coronary atherosclerosis, leading researchers to explore whether plasma proteins can predict coronary artery calcifications (CAC) in asymptomatic people beyond traditional risk factors.
  • - In the study, they analyzed 1,342 plasma proteins in almost 2,000 participants, employing machine learning techniques to assess the predictive power of these proteins combined with established risk factors for CAC, validating their findings across two separate cohorts.
  • - The results showed that while a specific subset of 44 plasma proteins could indicate the presence of subclinical CAC, it did not provide better predictive capability compared to traditional risk factors alone, indicating that the new proteomics approach may not significantly enhance existing predictive models.
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Reduced lung function is associated with cardiovascular mortality, but the relationships with atherosclerosis are unclear. The population-based Swedish CArdioPulmonary BioImage study measured lung function, emphysema, coronary CT angiography, coronary calcium, carotid plaques and ankle-brachial index in 29,593 men and women aged 50-64 years. The results were confirmed using 2-sample Mendelian randomization.

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Background: The relationship between genetically-driven liver fat and coronary heart disease (CHD) remains unclear. ApoB-containing lipoproteins are known causal factors for CHD and may explain this relationship.

Methods And Results: We conducted a genome-wide association study (GWAS) in the UK Biobank to identify genetic variants associated with liver fat.

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Article Synopsis
  • - The study aimed to assess the prevalence of atherosclerosis in coronary and carotid arteries among individuals with prediabetes and diabetes compared to those without diabetes, involving over 30,000 participants aged 50-64.
  • - The findings revealed that participants with prediabetes or diabetes had significantly higher levels of coronary artery plaque, stenosis, and calcium scores compared to normoglycaemic individuals, indicating a greater cardiovascular risk.
  • - Notably, the prevalence of coronary atherosclerosis was highest in those with known diabetes, while both prediabetic and diabetic participants showed increased plaque in carotid arteries compared to normoglycaemic individuals.
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Non-alcoholic fatty liver disease (NAFLD) is associated with increased secretion of apoB-containing lipoproteins and increased risk of coronary heart disease (CHD). ApoB-containing lipoproteins include low-density lipoproteins (LDLs) and triglyceride-rich lipoproteins (TRLs); and since both LDLs and TRLs are causally related to CHD, they may mediate a portion of the increased risk of atherosclerosis seen in people with NAFLD. In a cohort of 4161 middle aged men and women, we performed mediation analysis in order to quantify the mediating effect of apoB-containing lipoproteins in the relationship between liver fat and atherosclerosis-as measured by coronary artery calcium score (CACS).

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The volume of epicardial adipose tissue (EATV) is increased in type-2 diabetes (T2D), while its attenuation (EATA) appears to be decreased. Similar patterns have been suggested in pre-diabetes, but data is scarce. In both pre-diabetes and T2D, any independent role of EATV and EATA in disease development remains to be proven, a task complicated by their substantial co-variation with other anthropometrics, e.

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Temporal dynamics of the gut microbiota potentially limit the identification of microbial features associated with health status. Here, we used whole-genome metagenomic and 16S rRNA gene sequencing to characterize the intra- and inter-individual variations of gut microbiota composition and functional potential of a disease-free Swedish population (n = 75) over one year. We found that 23% of the total compositional variance was explained by intra-individual variation.

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