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  1. Article ; Online: Oncotherapeutic Protein Kinase Inhibitors Associated With Pro-Arrhythmic Liability.

    Ye, Johan Z / Hansen, Finn B / Mills, Robert W / Lundby, Alicia

    JACC. CardioOncology

    2021  Volume 3, Issue 1, Page(s) 88–97

    Abstract: Background: Ibrutinib is a protein kinase inhibitor that has been widely successful in treating multiple common variations of B-cell cancers. However, an unfortunate side effect of ibrutinib is that it predisposes patients to development of atrial ... ...

    Abstract Background: Ibrutinib is a protein kinase inhibitor that has been widely successful in treating multiple common variations of B-cell cancers. However, an unfortunate side effect of ibrutinib is that it predisposes patients to development of atrial fibrillation.
    Objectives: The purpose of this study was to assess other commonly prescribed protein kinase inhibitors for similar pro-arrhythmic liability.
    Methods: This study comprehensively evaluated data from the U.S. Food and Drug Administration adverse events reporting system and determined the reporting of cardiac arrhythmia attributed to kinase inhibitor therapy using a multivariable logistic regression model. We evaluated 3,663,300 case reports containing 23,067 cases of atrial fibrillation and 66,262 cases of cardiac arrhythmia. In total, 32 protein kinase inhibitors were evaluated, almost all of which are oncotherapeutics.
    Results: Seven protein kinase inhibitors were associated with a significant increase in the odds of atrial fibrillation (ibrutinib, ponatinib, nilotinib, ribociclib, trametinib, osimertinib, and idelalisib). Assessment of broader pro-arrhythmic toxicity suggested a ventricular-specific liability for nilotinib and a bradyarrhythmia risk with alectinib and crizotinib.
    Conclusions: Compounds that result in the inhibition of a number of protein kinases are associated with an increased risk of cardiac rhythm disturbances. The mechanisms driving the arrhythmogenic effects remain to be discovered, but this study presents an important step in identifying and prioritizing the study of these protein kinase signaling pathways.
    Language English
    Publishing date 2021-03-16
    Publishing country United States
    Document type Journal Article
    ISSN 2666-0873
    ISSN (online) 2666-0873
    DOI 10.1016/j.jaccao.2021.01.009
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Reevaluation of genetic variants previously associated with arrhythmogenic right ventricular cardiomyopathy integrating population-based cohorts and proteomics data.

    Ye, Johan Z / Delmar, Mario / Lundby, Alicia / Olesen, Morten S

    Clinical genetics

    2019  Volume 96, Issue 6, Page(s) 506–514

    Abstract: Arrhythmogenic right ventricular cardiomyopathy (ARVC) is one of the most common causes of sudden cardiac death in young people. Patients diagnosed with ARVC may experience increased likelihood of development of anxiety and depression, emphasizing the ... ...

    Abstract Arrhythmogenic right ventricular cardiomyopathy (ARVC) is one of the most common causes of sudden cardiac death in young people. Patients diagnosed with ARVC may experience increased likelihood of development of anxiety and depression, emphasizing the need for accurate diagnosis. To assist future genetic diagnosis and avoidance of misdiagnosis, we evaluated the reported monogenic disease-causing variants in ARVD/C Genetic Variants Database, Human Gene Mutation Database, and ClinVar. Within the aforementioned databases, 630 monogenic disease-causing variants from 18 genes were identified. In the genome Aggregation Database, 226 of these were identified; 68 of which were found at greater than expected prevalence. Furthermore, 37/226 genetic variants were identified amongst the 409 000 UK biobank participants, 23 were not associated with ARVC. Among the 14 remaining variants, 13 were previously found with greater than expected prevalence for a monogenic variant. Nevertheless, they were associated with serious cardiac phenotypes, suggesting that these 13 variants may be disease-modifiers of ARVC, rather than monogenic disease-causing. In summary, more than 10% of variants previously reported to cause ARVC were found unlikely to be associated with highly penetrant monogenic forms of ARVC. Notably, all variants in OBSCN and MYBPC3 were found, making these unlikely to be monogenic causes of ARVC.
    MeSH term(s) Arrhythmogenic Right Ventricular Dysplasia/genetics ; Cohort Studies ; Databases, Genetic ; Genetic Variation ; Genome, Human ; Humans ; Myocardium/pathology ; Phenotype ; Prevalence ; Proteomics
    Language English
    Publishing date 2019-08-19
    Publishing country Denmark
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 221209-2
    ISSN 1399-0004 ; 0009-9163
    ISSN (online) 1399-0004
    ISSN 0009-9163
    DOI 10.1111/cge.13621
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Quantitative proteome comparison of human hearts with those of model organisms.

    Linscheid, Nora / Santos, Alberto / Poulsen, Pi Camilla / Mills, Robert W / Calloe, Kirstine / Leurs, Ulrike / Ye, Johan Z / Stolte, Christian / Thomsen, Morten B / Bentzen, Bo H / Lundegaard, Pia R / Olesen, Morten S / Jensen, Lars J / Olsen, Jesper V / Lundby, Alicia

    PLoS biology

    2021  Volume 19, Issue 4, Page(s) e3001144

    Abstract: Delineating human cardiac pathologies and their basic molecular mechanisms relies on research conducted in model organisms. Yet translating findings from preclinical models to humans present a significant challenge, in part due to differences in cardiac ... ...

    Abstract Delineating human cardiac pathologies and their basic molecular mechanisms relies on research conducted in model organisms. Yet translating findings from preclinical models to humans present a significant challenge, in part due to differences in cardiac protein expression between humans and model organisms. Proteins immediately determine cellular function, yet their large-scale investigation in hearts has lagged behind those of genes and transcripts. Here, we set out to bridge this knowledge gap: By analyzing protein profiles in humans and commonly used model organisms across cardiac chambers, we determine their commonalities and regional differences. We analyzed cardiac tissue from each chamber of human, pig, horse, rat, mouse, and zebrafish in biological replicates. Using mass spectrometry-based proteomics workflows, we measured and evaluated the abundance of approximately 7,000 proteins in each species. The resulting knowledgebase of cardiac protein signatures is accessible through an online database: atlas.cardiacproteomics.com. Our combined analysis allows for quantitative evaluation of protein abundances across cardiac chambers, as well as comparisons of cardiac protein profiles across model organisms. Up to a quarter of proteins with differential abundances between atria and ventricles showed opposite chamber-specific enrichment between species; these included numerous proteins implicated in cardiac disease. The generated proteomics resource facilitates translational prospects of cardiac studies from model organisms to humans by comparisons of disease-linked protein networks across species.
    MeSH term(s) Animals ; Heart/physiology ; Heart Ventricles/chemistry ; Heart Ventricles/metabolism ; Horses ; Humans ; Mice ; Models, Animal ; Myocardium/chemistry ; Myocardium/metabolism ; Organ Specificity ; Protein Processing, Post-Translational ; Proteome/analysis ; Proteome/metabolism ; Proteomics/methods ; Rats ; Species Specificity ; Swine ; Zebrafish
    Chemical Substances Proteome
    Language English
    Publishing date 2021-04-19
    Publishing country United States
    Document type Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2126776-5
    ISSN 1545-7885 ; 1544-9173
    ISSN (online) 1545-7885
    ISSN 1544-9173
    DOI 10.1371/journal.pbio.3001144
    Database MEDical Literature Analysis and Retrieval System OnLINE

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