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- Cederstrom, S., et al.
(author)
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New candidate genes for ST-elevation myocardial infarction
- 2020
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In: Journal of Internal Medicine. - : Wiley. - 0954-6820 .- 1365-2796. ; 287:1, s. 66-77
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Journal article (peer-reviewed)abstract
- Background Despite extensive research in atherosclerosis, the mechanisms of coronary atherothrombosis in ST-elevation myocardial infarction (STEMI) patients are undetermined. Objectives Our aim was to find candidate genes involved in STEMI by analysing leucocyte gene expression in STEMI patients, without the influence of secondary inflammation from innate immunity, which was assumed to be a consequence rather than the cause of coronary atherothrombosis. Methods Fifty-one patients were included at coronary angiography because of STEMI. Arterial blood was sampled in the acute phase (P1), at 24-48 h (P2) and at 3 months (P3). Leucocyte RNA was isolated and gene expression analysis was performed by Affymetrix Human Transcriptome Array 2.0. By omission of up- or downregulated genes at P2, secondary changes from innate immunity were excluded. Genes differentially expressed in P1 when compared to the convalescent sample in P3 were determined as genes involved in STEMI. Results Three genes were upregulated at P1 compared to P3; ABCG1 (P = 5.81 x 10(-5)), RAB20 (P = 3.69 x 10(-5)) and TMEM2 (P = 7.75 x 10(-6)) whilst four were downregulated; ACVR1 (P = 9.01 x 10(-5)), NFATC2IP (P = 8.86 x 10(-5)), SUN1 (P = 3.87 x 10(-5)) and TTC9C (P = 7.18 x 10(-6)). These genes were also highly expressed in carotid atherosclerotic plaques. Conclusions We found seven genes involved in STEMI. The study is unique regarding the blood sampling in the acute phase and omission of secondary expressed genes from innate immunity. However, the results need to be replicated by future studies.
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- Daniel, M., et al.
(author)
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Prevalence of Anxiety and Depression Symptoms in Patients with Myocardial Infarction with Non-Obstructive Coronary Arteries
- 2018
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In: American Journal of Medicine. - : Elsevier BV. - 0002-9343 .- 1555-7162. ; 131:9, s. 1118-1124
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Journal article (peer-reviewed)abstract
- BACKGROUND: Myocardial infarction with non-obstructive coronary arteries is a working diagnosis for several heart disorders. Previous studies on anxiety and depression in patients with myocardial infarction with non-obstructive coronary arteries are lacking. Our aim was to investigate the prevalence of anxiety and depression among patients with myocardial infarction with non-obstructive coronary arteries. METHODS: We included 99 patients with myocardial infarction with non-obstructive coronary arteries together with age- and sex-matched control groups who completed the Beck Depression Inventory and the Hospital Anxiety and Depression Scale (HADS) 3 months after the acute event. RESULTS: Using the Beck Depression Inventory, we found that the prevalence of depression in patients with myocardial infarction with non-obstructive coronary arteries (35%) was higher than in healthy controls (9%; P = .006) and similar to that of patients with coronary heart disease (30%; P = .954). Using the HADS anxiety subscale, we found that the prevalence of anxiety in patients with myocardial infarction with non-obstructive coronary arteries (27%) was higher than in healthy controls (9%; P = .002) and similar to that of patients with coronary heart disease (21%; P = .409). Using the HADS depression subscale, we found that the prevalence of depression in patients with myocardial infarction with non-obstructive coronary arteries (17%) was higher than in healthy controls (4%; P = .003) and similar to that of patients with coronary heart disease (13%; P = .466). Patients with myocardial infarction with non-obstructive coronary arteries and takotsubo syndrome scored higher on the HADS anxiety subscale than those without (P = .028). CONCLUSIONS: This is the first study on the mental health of patients with myocardial infarction with non obstructive coronary arteries to show that prevalence rates of anxiety and depression are similar to those in patients with coronary heart disease. (C) 2018 Elsevier Inc. All rights reserved.
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- Edfors, R., et al.
(author)
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Use of proteomics to identify biomarkers associated with chronic kidney disease and long-term outcomes in patients with myocardial infarction
- 2020
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In: Journal of Internal Medicine. - : Wiley. - 0954-6820 .- 1365-2796. ; 288:5, s. 581-592
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Journal article (peer-reviewed)abstract
- Background Patients with chronic kidney disease (CKD) have poor outcomes following myocardial infarction (MI). We performed an untargeted examination of 175 biomarkers to identify those with the strongest association with CKD and to examine the association of those biomarkers with long-term outcomes. Methods A total of 175 different biomarkers from MI patients enrolled in the Swedish Web-System for Enhancement and Development of Evidence-Based Care in Heart Disease Evaluated According to Recommended Therapies (SWEDEHEART) registry were analysed either by a multiple reaction monitoring mass spectrometry assay or by a multiplex assay (proximity extension assay). Random forests statistical models were used to assess the predictor importance of biomarkers, CKD and outcomes. Results A total of 1098 MI patients with a median estimated glomerular filtration rate of 85 mL min(-1)/1.73 m(2)were followed for a median of 3.2 years. The random forests analyses, without and with adjustment for differences in demography, comorbidities and severity of disease, identified six biomarkers (adrenomedullin, TNF receptor-1, adipocyte fatty acid-binding protein-4, TNF-related apoptosis-inducing ligand receptor 2, growth differentiation factor-15 and TNF receptor-2) to be strongly associated with CKD. All six biomarkers were also amongst the 15 strongest predictors for death, and four of them were amongst the strongest predictors of subsequent MI and heart failure hospitalization. Conclusion In patients with MI, a proteomic approach could identify six biomarkers that best predicted CKD. These biomarkers were also amongst the most important predictors of long-term outcomes. Thus, these biomarkers indicate underlying mechanisms that may contribute to the poor prognosis seen in patients with MI and CKD.
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