| 21. |
- Eggers, Kai M, et al.
(författare)
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Evaluation of Temporal Changes in Cardiovascular Biomarker Concentrations Improves Risk Prediction in an Elderly Population from the Community
- 2016
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Ingår i: Clinical Chemistry. - : Oxford University Press (OUP). - 0009-9147 .- 1530-8561. ; 62:3, s. 485-493
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: There is increasing interest in measurements of cardiovascular (CV) biomarker concentrations for risk prediction in the general population. We investigated the prognostic utility of a panel of novel CV biomarkers and their changes over time.METHODS: We measured concentrations of N-terminal pro-B-type natriuretic peptide (NT-proBNP), midregional proadrenomedullin, high-sensitivity cardiac troponin I, growth-differentiation factor-15 (GDF-15), soluble ST2 (sST2), and galectin-3 at baseline and 5 years later in 1016 elderly individuals participating in the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) study. Assessed outcomes included all-cause mortality and fatal and nonfatal CV events (in participants without CV disease at baseline) during 10 years of follow-up.RESULTS: GDF-15 exhibited the strongest association with all-cause mortality (n = 158) with a hazard ratio (HR) per 1-SD increase in standardized ln GDF-15 of 1.68 (95% CI, 1.44-1.96). NT-proBNP was the only biomarker to predict CV events (n = 163; HR 1.54 [95% CI, 1.30-1.84]). GDF-15 and NT-proBNP also improved metrics of discrimination and reclassification of the respective outcomes. Changes in GDF-15 concentrations between 70 and 75 years predicted all-cause mortality whereas changes in NT-proBNP predicted both outcomes. The other biomarkers and their temporal changes provided only moderate prognostic value apart from sST2 which had a neutral relationship with adverse events.CONCLUSIONS: Evaluation of temporal changes in GDF-15 and NT-proBNP concentrations improves risk prediction in an elderly population. These findings are of considerable interest given the emphasis on biomarkers as tools to identify and monitor at-risk individuals with preclinical and potentially modifiable stages of CV disease.
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| 22. |
- Eggers, Kai M., et al.
(författare)
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High-sensitive cardiac troponin T and its relations to cardiovascular risk factors, morbidity, and mortality in elderly men
- 2013
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Ingår i: American Heart Journal. - : Elsevier BV. - 0002-8703 .- 1097-6744. ; 166:3, s. 541-
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Tidskriftsartikel (refereegranskat)abstract
- Background Cardiac troponin is emerging as risk indicator in community-dwelling populations. In this study, we investigated the associations of cardiac troponin T (cTnT) to cardiovascular (CV) disease and outcome in elderly men. Methods Cardiac troponin T was measured using a high-sensitive assay in 940 men aged 71 years participating in the Uppsala Longitudinal Study of Adult Men. We assessed both the cross-sectional associations of cTnT to CV risk factors and morbidities including cancer and the longitudinal associations to outcomes over 10 years of follow-up. Results Cardiac troponin T levels were measurable in 872 subjects (92.8%). In the cross-sectional analyses, cTnT was associated to CV risk factors (diabetes, smoking, and obesity), renal dysfunction, CV disease including atrial fibrillation and coronary artery disease, and biomarkers of inflammation and left ventricular dysfunction. In the longitudinal analyses, cTnT independently predicted total mortality and CV events including stroke. The standardized adjusted hazard ratio regarding the composite CV end point was 1.5 (95% CI 1.3-1.8), P < .001, for men with prevalent CV disease and 1.2 (95% CI 1.0-1.4), P = .02, for men without. Cardiac troponin T improved discrimination metrics for all outcomes in the total population. This was mainly driven by the prognostic value of cTnT in subjects with prevalent CV disease. Conclusions In community-dwelling men, cTnT levels are associated to CV risk factors and morbidities and predict both fatal and nonfatal CV events. The relations to outcome are mainly seen in men with prevalent CV disease indicating that the prognostic value of cTnT in subjects free from CV disease is limited.
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| 23. |
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| 24. |
- Eggers, Kai M, et al.
(författare)
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Relations of growth-differentiation factor-15 to biomarkers reflecting vascular pathologies in a population-based sample of elderly subjects
- 2012
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Ingår i: Scandinavian Journal of Clinical and Laboratory Investigation. - : Informa UK Limited. - 0036-5513 .- 1502-7686. ; 72:1, s. 45-51
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Tidskriftsartikel (refereegranskat)abstract
- Background. Growth-differentiation factor-15 (GDF-15) has recently emerged as a risk predictor in patients with cardiac diseases. GDF-15 is commonly related to cardiovascular risk factors, inflammatory activity and cardiac abnormalities. However, it is not clear whether it might be an indicator of vascular pathologies as well.Methods.Circulating levels of GDF-15 were measured in 1004 elderly community dwellers participating in the PIVUS study. The relations of GDF-15 to biomarkers of endothelial activation (E-selectin, P-selectin, ICAM-1, VCAM-1), extracellular matrix degradation (MMP-9, TIMP-1), coagulatory activity (D-dimer, von Willebrand factor, prothrombin fragment 1 + 2, factor VIIa), and fibrinolytic activity (PAI-1 activity, tPA-antigen) were assessed by multiple linear regressions.Results. The median GDF-15 level was 1135 ng/L. By linear correlation analysis, GDF-15 exhibited a moderate relation to von Willebrand factor (r = 0.30), and weak, albeit significant relations (r = 0.13-0.29) to E-selectin, P-selectin, ICAM-1, VCAM-1, MMP-9, TIMP-1, D-dimer, PAI-1 activity and tPA-antigen. The relations to the assessed biomarkers of endothelial activation, TIMP-1, D-dimer and von Willebrand factor remained significant applying multiple linear regression models adjusted for clinical covariates and echocardiographic data. There were no significant relations between GDF-15 and biomarkers solely reflecting coagulatory activity.Conclusions.In the elderly, GDF-15 reflects endothelial activation and vascular inflammation and thus, multiple pathways involved in the development and progression of atherosclerosis.
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| 25. |
- Eriksson, Niclas, et al.
(författare)
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Genetic determinants of warfarin maintenance dose and time in therapeutic treatment range : a RE-LY genomics substudy
- 2016
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Ingår i: Pharmacogenomics (London). - : Future Medicine Ltd. - 1462-2416 .- 1744-8042. ; 17:13, s. 1425-1439
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Tidskriftsartikel (refereegranskat)abstract
- Aims: We investigated associations between genetic variation in candidate genes and on a genome-wide scale with warfarin maintenance dose, time in therapeutic range (TTR), and risk of major bleeding. Materials & methods: In total, 982 warfarin-treated patients from the RE-LY trial were studied. Results: After adjusting for SNPs in VKORC1 and CYP2C9, SNPs in DDHD1 (rs17126068) and NEDD4 (rs2288344) were associated with dose. Adding these SNPs and CYP4F2 (rs2108622) to a base model increased R-2 by 2.9%. An SNP in ASPH (rs4379440) was associated with TTR (-6.8% per minor allele). VKORC1 was associated with time less than INR 2.0. VKORC1 and CYP2C9 were associated with time more than INR 3.0, but not with major bleeding. Conclusions: We identified two novel genes associated with warfarin maintenance dose and one gene associated with TTR. These genes need to be replicated in an independent cohort.
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| 26. |
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| 27. |
- Eriksson, Niclas, 1978-
(författare)
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On the Prediction of Warfarin Dose
- 2012
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Warfarin is one of the most widely used anticoagulants in the world. Treatment is complicated by a large inter-individual variation in the dose needed to reach adequate levels of anticoagulation i.e. INR 2.0 – 3.0. The objective of this thesis was to evaluate which factors, mainly genetic but also non-genetic, that affect the response to warfarin in terms of required maintenance dose, efficacy and safety with special focus on warfarin dose prediction.Through candidate gene and genome-wide studies, we have shown that the genes CYP2C9 and VKORC1 are the major determinants of warfarin maintenance dose. By combining the SNPs CYP2C9 *2, CYP2C9 *3 and VKORC1 rs9923231 with the clinical factors age, height, weight, ethnicity, amiodarone and use of inducers (carbamazepine, phenytoin or rifampicin) into a prediction model (the IWPC model) we can explain 43 % to 51 % of the variation in warfarin maintenance dose. Patients requiring doses < 29 mg/week and doses ≥ 49 mg/week benefitted the most from pharmacogenetic dosing. Further, we have shown that the difference across ethnicities in percent variance explained by VKORC1 was largely accounted for by the allele frequency of rs9923231. Other novel genes affecting maintenance dose (NEDD4 and DDHD1), as well as the replicated CYP4F2 gene, have small effects on dose predictions and are not likely to be cost-effective, unless inexpensive genotyping is available.Three types of prediction models for warfarin dosing exist: maintenance dose models, loading dose models and dose revision models. The combination of these three models is currently being used in the warfarin treatment arm of the European Pharmacogenetics of Anticoagulant Therapy (EU-PACT) study. Other clinical trials aiming to prove the clinical validity and utility of pharmacogenetic dosing are also underway.The future of pharmacogenetic warfarin dosing relies on results from these ongoing studies, the availability of inexpensive genotyping and the cost-effectiveness of pharmacogenetic driven warfarin dosing compared with new oral anticoagulant drugs.
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| 28. |
- Ferrannini, Giulia, et al.
(författare)
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Screening for Glucose Perturbations and Risk Factor Management in Dysglycemic Patients With Coronary Artery Disease-A Persistent Challenge in Need of Substantial Improvement : A Report From ESC EORP EUROASPIRE V.
- 2020
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Ingår i: Diabetes Care. - : American Diabetes Association. - 0149-5992 .- 1935-5548. ; 43:4, s. 726-733
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: Dysglycemia, in this survey defined as impaired glucose tolerance (IGT) or type 2 diabetes, is common in patients with coronary artery disease (CAD) and associated with an unfavorable prognosis. This European survey investigated dysglycemia screening and risk factor management of patients with CAD in relation to standards of European guidelines for cardiovascular subjects.RESEARCH DESIGN AND METHODS: The European Society of Cardiology's European Observational Research Programme (ESC EORP) European Action on Secondary and Primary Prevention by Intervention to Reduce Events (EUROASPIRE) V (2016-2017) included 8,261 CAD patients, aged 18-80 years, from 27 countries. If the glycemic state was unknown, patients underwent an oral glucose tolerance test (OGTT) and measurement of glycated hemoglobin A1c. Lifestyle, risk factors, and pharmacological management were investigated.RESULTS: A total of 2,452 patients (29.7%) had known diabetes. OGTT was performed in 4,440 patients with unknown glycemic state, of whom 41.1% were dysglycemic. Without the OGTT, 30% of patients with type 2 diabetes and 70% of those with IGT would not have been detected. The presence of dysglycemia almost doubled from that self-reported to the true proportion after screening. Only approximately one-third of all coronary patients had completely normal glucose metabolism. Of patients with known diabetes, 31% had been advised to attend a diabetes clinic, and only 24% attended. Only 58% of dysglycemic patients were prescribed all cardioprotective drugs, and use of sodium-glucose cotransporter 2 inhibitors (3%) or glucagon-like peptide 1 receptor agonists (1%) was small.CONCLUSIONS: Urgent action is required for both screening and management of patients with CAD and dysglycemia, in the expectation of a substantial reduction in risk of further cardiovascular events and in complications of diabetes, as well as longer life expectancy.
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| 29. |
- Folkersen, Lasse, et al.
(författare)
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Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals.
- 2020
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Ingår i: Nature metabolism. - : Springer Science and Business Media LLC. - 2522-5812. ; 2:10, s. 1135-1148
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Tidskriftsartikel (refereegranskat)abstract
- Circulating proteins are vital in human health and disease and are frequently used as biomarkers for clinical decision-making or as targets for pharmacological intervention. Here, we map and replicate protein quantitative trait loci (pQTL) for 90 cardiovascular proteins in over 30,000 individuals, resulting in 451 pQTLs for 85 proteins. For each protein, we further perform pathway mapping to obtain trans-pQTL gene and regulatory designations. We substantiate these regulatory findings with orthogonal evidence for trans-pQTLs using mouse knockdown experiments (ABCA1 and TRIB1) and clinical trial results (chemokine receptors CCR2 and CCR5), with consistent regulation. Finally, we evaluate known drug targets, and suggest new target candidates or repositioning opportunities using Mendelian randomization. This identifies 11 proteins with causal evidence of involvement in human disease that have not previously been targeted, including EGF, IL-16, PAPPA, SPON1, F3, ADM, CASP-8, CHI3L1, CXCL16, GDF15 and MMP-12. Taken together, these findings demonstrate the utility of large-scale mapping of the genetics of the proteome and provide a resource for future precision studies of circulating proteins in human health.
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| 30. |
- Gorski, Mathias, et al.
(författare)
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Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies
- 2022
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Ingår i: Kidney International. - : Elsevier. - 0085-2538 .- 1523-1755. ; 102:3, s. 624-639
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Tidskriftsartikel (refereegranskat)abstract
- Estimated glomerular filtration rate (eGFR) reflects kidney function. Progressive eGFR-decline can lead to kidney failure, necessitating dialysis or transplantation. Hundreds of loci from genome-wide association studies (GWAS) for eGFR help explain population cross section variability. Since the contribution of these or other loci to eGFR-decline remains largely unknown, we derived GWAS for annual eGFR-decline and meta-analyzed 62 longitudinal studies with eGFR assessed twice over time in all 343,339 individuals and in high-risk groups. We also explored different covariate adjustment. Twelve genomewide significant independent variants for eGFR-decline unadjusted or adjusted for eGFR- baseline (11 novel, one known for this phenotype), including nine variants robustly associated across models were identified. All loci for eGFR-decline were known for cross-sectional eGFR and thus distinguished a subgroup of eGFR loci. Seven of the nine variants showed variant- by-age interaction on eGFR cross section (further about 350,000 individuals), which linked genetic associations for eGFR-decline with agedependency of genetic cross- section associations. Clinically important were two to four-fold greater genetic effects on eGFR-decline in high-risk subgroups. Five variants associated also with chronic kidney disease progression mapped to genes with functional in- silico evidence (UMOD, SPATA7, GALNTL5, TPPP). An unfavorable versus favorable nine-variant genetic profile showed increased risk odds ratios of 1.35 for kidney failure (95% confidence intervals 1.03- 1.77) and 1.27 for acute kidney injury (95% confidence intervals 1.08-1.50) in over 2000 cases each, with matched controls). Thus, we provide a large data resource, genetic loci, and prioritized genes for kidney function decline, which help inform drug development pipelines revealing important insights into the age-dependency of kidney function genetics.
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