6 results on '"Van Aelst, L"'
Search Results
2. Atrioventricular nodal re-entrant tachycardia unmasking cardiac sarcoidosis: a clinical case report.
- Author
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Casteur L, Rosseel T, Van Kerrebroeck M, Van Aelst L, and Ector J
- Abstract
Background: Sarcoidosis is a rare disease, and cardiac involvement is seen in the minority of patients. The clinical symptoms depend on the location of the noncaseating granulomas in the heart and vary from asymptomatic to atrioventricular (AV) conduction block, ventricular arrhythmia, heart failure, and sudden cardiac death. Clinically manifest cardiac sarcoidosis seldomly presents with supraventricular tachycardia., Case Summary: We present a case where a female patient presented with AV nodal re-entrant tachycardia as an uncommon initial presentation of cardiac sarcoidosis. Her resting electrocardiogram showed a complete left bundle branch block and first-degree AV conduction block. During hospitalization, there was continuous switching between sinus rhythm with first-degree AV block, 2:1 AV block, and AV nodal re-entrant tachycardia., Discussion: It is important to be aware that cardiac sarcoidosis can rarely present with supraventricular tachycardia as initial symptom. Given the elevated risk of sudden cardiac death, early detection is crucial and all patients who require permanent pacing should be considered for implantable cardioverter-defibrillator implantation., Competing Interests: Conflict of interest: None declared., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.)
- Published
- 2024
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3. Artificial intelligence electrocardiogram as a novel screening tool to detect a newly abnormal left ventricular ejection fraction after anthracycline-based cancer therapy.
- Author
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Jacobs JEJ, Greason G, Mangold KE, Wildiers H, Willems R, Janssens S, Noseworthy P, Lopez-Jimenez F, Voigt JU, Friedman P, Van Aelst L, Vandenberk B, Attia ZI, and Herrmann J
- Subjects
- Humans, Female, Stroke Volume, Cardiotoxicity, Ventricular Function, Left, Cohort Studies, Artificial Intelligence, Early Detection of Cancer, Electrocardiography, Antibiotics, Antineoplastic adverse effects, Anthracyclines adverse effects, Breast Neoplasms drug therapy
- Abstract
Aims: Cardiotoxicity is a serious side effect of anthracycline treatment, most commonly manifesting as a reduction in left ventricular ejection fraction (EF). Early recognition and treatment have been advocated, but robust, convenient, and cost-effective alternatives to cardiac imaging are missing. Recent developments in artificial intelligence (AI) techniques applied to electrocardiograms (ECGs) may fill this gap, but no study so far has demonstrated its merit for the detection of an abnormal EF after anthracycline therapy., Methods and Results: Single centre consecutive cohort study of all breast cancer patients with ECG and transthoracic echocardiography (TTE) evaluation before and after (neo)adjuvant anthracycline chemotherapy. Patients with HER2-directed therapy, metastatic disease, second primary malignancy, or pre-existing cardiovascular disease were excluded from the analyses as were patients with EF decline for reasons other than anthracycline-induced cardiotoxicity. Primary readout was the diagnostic performance of AI-ECG by area under the curve (AUC) for EFs < 50%. Of 989 consecutive female breast cancer patients, 22 developed a decline in EF attributed to anthracycline therapy over a follow-up time of 9.8 ± 4.2 years. After exclusion of patients who did not have ECGs within 90 days of a TTE, 20 cases and 683 controls remained. The AI-ECG model detected an EF < 50% and ≤ 35% after anthracycline therapy with an AUC of 0.93 and 0.94, respectively., Conclusion: These data support the use of AI-ECG for cardiotoxicity screening after anthracycline-based chemotherapy. This technology could serve as a gatekeeper to more costly cardiac imaging and could enable patients to monitor themselves over long periods of time., Competing Interests: Conflict of interest: None declared., (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
- Published
- 2024
- Full Text
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4. Prediction of coronary artery disease using urinary proteomics.
- Author
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Wei D, Melgarejo JD, Van Aelst L, Vanassche T, Verhamme P, Janssens S, Peter K, and Zhang ZY
- Subjects
- Humans, Proteomics methods, Proteome analysis, Proteome metabolism, Biomarkers, Peptides, Inflammation, Collagen, Coronary Artery Disease diagnosis
- Abstract
Aims: Coronary artery disease (CAD) is multifactorial, caused by complex pathophysiology, and contributes to a high burden of mortality worldwide. Urinary proteomic analyses may help to identify predictive biomarkers and provide insights into the pathogenesis of CAD., Methods and Results: Urinary proteome was analysed in 965 participants using capillary electrophoresis coupled with mass spectrometry. A proteomic classifier was developed in a discovery cohort with 36 individuals with CAD and 36 matched controls using the support vector machine. The classifier was tested in a validation cohort with 115 individuals who progressed to CAD and 778 controls and compared with two previously developed CAD-associated classifiers, CAD238 and ACSP75. The Framingham and SCORE2 risk scores were available in 737 participants. Bioinformatic analysis was performed based on the CAD-associated peptides. The novel proteomic classifier was comprised of 160 urinary peptides, mainly related to collagen turnover, lipid metabolism, and inflammation. In the validation cohort, the classifier provided an area under the receiver operating characteristic curve (AUC) of 0.82 [95% confidence interval (CI): 0.78-0.87] for the CAD prediction in 8 years, superior to CAD238 (AUC: 0.71, 95% CI: 0.66-0.77) and ACSP75 (AUC: 0.53 and 95% CI: 0.47-0.60). On top of CAD238 and ACSP75, the addition of the novel classifier improved the AUC to 0.84 (95% CI: 0.80-0.89). In a multivariable Cox model, a 1-SD increment in the novel classifier was associated with a higher risk of CAD (HR: 1.54, 95% CI: 1.26-1.89, P < 0.0001). The new classifier further improved the risk reclassification of CAD on top of the Framingham or SCORE2 risk scores (net reclassification index: 0.61, 95% CI: 0.25-0.95, P = 0.001; 0.64, 95% CI: 0.28-0.98, P = 0.001, correspondingly)., Conclusion: A novel urinary proteomic classifier related to collagen metabolism, lipids, and inflammation showed potential for the risk prediction of CAD. Urinary proteome provides an alternative approach to personalized prevention., Competing Interests: Conflict of interest: The authors have no conflicts of interest to declare., (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.)
- Published
- 2023
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5. The AF-6 homolog canoe acts as a Rap1 effector during dorsal closure of the Drosophila embryo.
- Author
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Boettner B, Harjes P, Ishimaru S, Heke M, Fan HQ, Qin Y, Van Aelst L, and Gaul U
- Subjects
- Animals, Drosophila embryology, Drosophila genetics, Drosophila Proteins metabolism, Protein-Tyrosine Kinases metabolism, Two-Hybrid System Techniques, rap1 GTP-Binding Proteins physiology, Drosophila metabolism, Kinesins metabolism, Myosins metabolism, rap1 GTP-Binding Proteins genetics
- Abstract
Rap1 belongs to the highly conserved Ras subfamily of small GTPases. In Drosophila, Rap1 plays a critical role in many different morphogenetic processes, but the molecular mechanisms executing its function are unknown. Here, we demonstrate that Canoe (Cno), the Drosophila homolog of mammalian junctional protein AF-6, acts as an effector of Rap1 in vivo. Cno binds to the activated form of Rap1 in a yeast two-hybrid assay, the two molecules colocalize to the adherens junction, and they display very similar phenotypes in embryonic dorsal closure (DC), a process that relies on the elongation and migration of epithelial cell sheets. Genetic interaction experiments show that Rap1 and Cno act in the same molecular pathway during DC and that the function of both molecules in DC depends on their ability to interact. We further show that Rap1 acts upstream of Cno, but that Rap1, unlike Cno, is not involved in the stimulation of JNK pathway activity, indicating that Cno has both a Rap1-dependent and a Rap1-independent function in the DC process.
- Published
- 2003
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6. A role for the noncatalytic N terminus in the function of Cdc25, a Saccharomyces cerevisiae Ras-guanine nucleotide exchange factor.
- Author
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Chen RA, Michaeli T, Van Aelst L, and Ballester R
- Subjects
- Base Sequence, Catalysis, Cell Cycle Proteins chemistry, Cell Cycle Proteins genetics, DNA Primers, Fungal Proteins chemistry, Fungal Proteins genetics, Mutation, Phenotype, ras-GRF1 chemistry, ras-GRF1 genetics, Cell Cycle Proteins metabolism, Fungal Proteins metabolism, Saccharomyces cerevisiae metabolism, ras-GRF1 metabolism
- Abstract
The Saccharomyces cerevisiae CDC25 gene encodes a guanine nucleotide exchange factor (GEF) for Ras proteins. Its catalytic domain is highly homologous to Ras-GEFs from all eukaryotes. Even though Cdc25 is the first Ras-GEF identified in any organism, we still know very little about how its function is regulated in yeast. In this work we provide evidence for the involvement of the N terminus of Cdc25 in the regulation of its activity. A truncated CDC25 lacking the noncatalytic C-terminal coding sequence was identified in a screen of high-copy suppressors of the heat-shock-sensitive phenotype of strains in which the Ras pathway is hyper-activated. The truncated gene acts as a dominant-negative mutant because it only suppresses the heat-shock sensitivity of strains that require the function of CDC25. Our two-hybrid assays and immunoprecipitation analyses show interactions between the N terminus of Cdc25 and itself, the C terminus, and the full-length protein. These results suggest that the dominant-negative effect may be a result of oligomerization with endogenous Cdc25. Further evidence of the role of the N terminus of Cdc25 in the regulation of its activity is provided by the mapping of the activating mutation of CDC25HS20 to the serine residue at position 365 in the noncatalytic N-terminal domain. This mutation induces a phenotype similar to activating mutants of other genes in the Ras pathway in yeast. Hence, the N terminus may exert a negative control on the catalytic activity of the protein. Taken together these results suggest that the N terminus plays a crucial role in regulating Cdc25 and consequently Ras activity, which in S. cerevisiae is essential for cell cycle progression.
- Published
- 2000
- Full Text
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