38 research outputs found

    NO-dependent CaMKII activation during ÎČ-adrenergic stimulation of cardiac muscle

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    Aims During ÎČ-adrenergic receptor (ÎČ-AR) stimulation, phosphorylation of cardiomyocyte ryanodine receptors by protein kinases may contribute to an increased diastolic Ca2+ spark frequency. Regardless of prompt activation of protein kinase A during ÎČ-AR stimulation, this appears to rely more on activation of Ca2+/calmodulin-dependent protein kinase II (CaMKII), by a not yet identified signalling pathway. The goal of the present study was to identify and characterize the mechanisms which lead to CaMKII activation and elevated Ca2+ spark frequencies during ÎČ-AR stimulation in single cardiomyocytes in diastolic conditions. Methods and results Confocal imaging revealed that ÎČ-AR stimulation increases endogenous NO production in cardiomyocytes, resulting in NO-dependent activation of CaMKII and a subsequent increase in diastolic Ca2+ spark frequency. These changes of spark frequency could be mimicked by exposure to the NO donor GSNO and were sensitive to the CaMKII inhibitors KN-93 and AIP. In vitro, CaMKII became nitrosated and its activity remained increased independent of Ca2+ in the presence of GSNO, as assessed with biochemical assays. Conclusions ÎČ-AR stimulation of cardiomyocytes may activate CaMKII by a novel direct pathway involving NO, without requiring Ca2+ transients. This crosstalk between two established signalling pathways may contribute to arrhythmogenic diastolic Ca2+ release and Ca2+ waves during adrenergic stress, particularly in combination with cardiac diseases. In addition, NO-dependent activation of CaMKII is likely to have repercussions in many cellular signalling systems and cell type

    Dual mode of action of IP3-dependent SR-Ca2+ release on local and global SR-Ca2+ release in ventricular cardiomyocytes.

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    In heart muscle, the physiological function of IP3-induced Ca2+ release (IP3ICR) from the sarcoplasmic reticulum (SR) is still the subject of intense study. A role of IP3ICR may reside in modulating Ca2+-dependent cardiac arrhythmogenicity. Here we observe the propensity of spontaneous intracellular Ca2+ waves (SCaW) driven by Ca2+-induced Ca2+ release (CICR) in ventricular myocytes as a correlate of arrhythmogenicity on the organ level. We observe a dual mode of action of IP3ICR on SCaW generation in an IP3R overexpression model. This model shows a mild cardiac phenotype and mimics pathophysiological conditions of increased IP3R activity. In this model, IP3ICR was able to increase or decrease the occurrence of SCaW depending on global Ca2+ activity. This IP3ICR-based regulatory mechanism can operate in two "modes" depending on the intracellular CICR activity and efficiency (e.g. SCaW and/or local Ryanodine Receptor (RyR) Ca2+ release events, respectively): a) in a mode that augments the CICR mechanism at the cellular level, resulting in improved excitation-contraction coupling (ECC) and ultimately better contraction of the myocardium, and b) in a protective mode in which the CICR activity is curtailed to prevent the occurrence of Ca2+ waves at the cellular level and thus reduce the probability of arrhythmogenicity at the organ level

    A deep learning-based approach for efficient detection and classification of local CaÂČâș release events in Full-Frame confocal imaging

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    The release of Ca2+ ions from intracellular stores plays a crucial role in many cellular processes, acting as a secondary messenger in various cell types, including cardiomyocytes, smooth muscle cells, hepatocytes, and many others. Detecting and classifying associated local Ca2+ release events is particularly important, as these events provide insight into the mechanisms, interplay, and interdependencies of local Ca2+release events underlying global intracellular Ca2+signaling. However, time-consuming and labor-intensive procedures often complicate analysis, especially with low signal-to-noise ratio imaging data. Here, we present an innovative deep learning-based approach for automatically detecting and classifying local Ca2+ release events. This approach is exemplified with rapid full-frame confocal imaging data recorded in isolated cardiomyocytes. To demonstrate the robustness and accuracy of our method, we first use conventional evaluation methods by comparing the intersection between manual annotations and the segmentation of Ca2+ release events provided by the deep learning method, as well as the annotated and recognized instances of individual events. In addition to these methods, we compare the performance of the proposed model with the annotation of six experts in the field. Our model can recognize more than 75 % of the annotated Ca2+ release events and correctly classify more than 75 %. A key result was that there were no significant differences between the annotations produced by human experts and the result of the proposed deep learning model. We conclude that the proposed approach is a robust and time-saving alternative to conventional full-frame confocal imaging analysis of local intracellular Ca2+ events

    Uptake-leak balance of SR Ca2+ determines arrhythmogenic potential of RyR2R420Q+/- cardiomyocytes.

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    Mutations of the RyR2 are channelopathies that can predispose to life threatening catecholaminergic polymorphic ventricular tachycardias (CPVTs) during exercise or stress. However, the cellular and molecular mechanisms that are causal for the arrhythmias downstream of the ÎČ-adrenergic receptor (ÎČ-AR) activation are not defined. They may be specific and different for each particular RyR2 mutation. Obvious possibilities are the phosphorylation of the mutated RyR2s or the stimulation of the SR Ca2+ pump (SERCA), which could increase SR Ca2+ loading. Potentially arrhythmogenic Ca2+ signals, such as Ca2+ waves, were recorded and analyzed from WT and RyR2R420Q+/- mouse cardiomyocytes with confocal microscopy after field stimulation at 1 Hz. In RyR2R420Q+/- cardiomyocytes we found a higher occurrence and frequency of Ca2+ waves, particularly upon ÎČ-AR stimulation with isoproterenol. This was accompanied by a shorter latency to the first spontaneous wave. Wave velocity from raw traces, as well as amplitude and decay time constant (τ) analyzed in de-skewed traces were comparable in both cell types. To obtain further insight into the role of the SERCA we selectively stimulated SERCA in permeabilized myocytes using Fab fragments of a PLB antibody (2D12). Surprisingly, SERCA stimulation alone resulted in considerably higher wave frequencies than when mimicking ÎČ-AR stimulation with cAMP, particularly in RyR2R420Q+/- cardiomyocytes. This may be a consequence of some protective SR Ca2+ unloading resulting from the SR Ca2+ leak via phosphorylated RyR2s in cAMP. Spark-to-spark recovery analysis suggested a remarkably higher Ca2+ release sensitivity in RyR2R420Q+/- cells, both in control and upon ÎČ-AR stimulation. Together these findings suggest that the fine balance between SR Ca2+ loading via SERCA and the Ca2+ leak via mutated and phosphorylated RyR2s is an important determinant for the overall cellular arrhythmogenicity prevailing in the RyR2R420Q+/- myocytes

    Detection and Classification of Local CaÂČâș Release Events in Cardiomyocytes Using 3D-UNet Neural Network

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    Global CaÂČâș increase in the cytosol of cardiomyocytes is crucial for the contraction of the heart. Malfunctioning of proteins involved in this process can trigger local events (e.g., sparks and puffs) and global events (e.g., waves). These are thought to be involved in the development of arrhythmia. Therefore, it is important to detect and classify local CaÂČâș release events. We present a novel approach, based on a 3D U‐Net architecture, to perform these tasks in a fully automated fashion. We employed data obtained with fast xyt confocal imaging of cardiomyocytes where such subcellular CaÂČâș events are manually annotated and trained the neural network to infer comparable segmentation as output. Despite the relatively small amount of available data and the challenges that it exhibits, we obtained qualitatively promising results

    Cardiomyocyte Lineage Specification in Adult Human Cardiac Precursor Cells Via Modulation of Enhancer-Associated Long Noncoding RNA Expression

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    SummaryThe mechanisms controlling differentiation in adult cardiac precursor cells (CPCs) are still largely unknown. In this study, CPCs isolated from the human heart were found to produce predominantly smooth muscle cells but could be redirected to the cardiomyocyte fate by transient activation followed by inhibition of NOTCH signaling. NOTCH inhibition repressed MIR-143/145 expression, and blocked smooth muscle differentiation. Expression of the microRNAs is under control of CARMEN, a long noncoding RNA associated with an enhancer located in the MIR-143/145 locus and target of NOTCH signaling. The CARMEN/MIR-145/143 axis represents, therefore, a promising target to favor production of cardiomyocytes in cell replacement therapies

    Novel genes and sex differences in COVID-19 severity

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    [EN] Here, we describe the results of a genome-wide study conducted in 11 939 coronavirus disease 2019 (COVID-19) positive cases with an extensive clinical information that were recruited from 34 hospitals across Spain (SCOURGE consortium). In sex-disaggregated genome-wide association studies for COVID-19 hospitalization, genome-wide significance (P < 5 × 10−8) was crossed for variants in 3p21.31 and 21q22.11 loci only among males (P = 1.3 × 10−22 and P = 8.1 × 10−12, respectively), and for variants in 9q21.32 near TLE1 only among females (P = 4.4 × 10−8). In a second phase, results were combined with an independent Spanish cohort (1598 COVID-19 cases and 1068 population controls), revealing in the overall analysis two novel risk loci in 9p13.3 and 19q13.12, with fine-mapping prioritized variants functionally associated with AQP3 (P = 2.7 × 10−8) and ARHGAP33 (P = 1.3 × 10−8), respectively. The meta-analysis of both phases with four European studies stratified by sex from the Host Genetics Initiative (HGI) confirmed the association of the 3p21.31 and 21q22.11 loci predominantly in males and replicated a recently reported variant in 11p13 (ELF5, P = 4.1 × 10−8). Six of the COVID-19 HGI discovered loci were replicated and an HGI-based genetic risk score predicted the severity strata in SCOURGE. We also found more SNP-heritability and larger heritability differences by age (<60 or ≄60 years) among males than among females. Parallel genome-wide screening of inbreeding depression in SCOURGE also showed an effect of homozygosity in COVID-19 hospitalization and severity and this effect was stronger among older males. In summary, new candidate genes for COVID-19 severity and evidence supporting genetic disparities among sexes are provided.S

    The comparative responsiveness of Hospital Universitario Princesa Index and other composite indices for assessing rheumatoid arthritis activity

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    Objective To evaluate the responsiveness in terms of correlation of the Hospital Universitario La Princesa Index (HUPI) comparatively to the traditional composite indices used to assess disease activity in rheumatoid arthritis (RA), and to compare the performance of HUPI-based response criteria with that of the EULAR response criteria. Methods Secondary data analysis from the following studies: ACT-RAY (clinical trial), PROAR (early RA cohort) and EMECAR (pre-biologic era long term RA cohort). Responsiveness was evaluated by: 1) comparing change from baseline (Delta) of HUPI with Delta in other scores by calculating correlation coefficients; 2) calculating standardised effect sizes. The accuracy of response by HUPI and by EULAR criteria was analyzed using linear regressions in which the dependent variable was change in global assessment by physician (Delta GDA-Phy). Results Delta HUPI correlation with change in all other indices ranged from 0.387 to 0.791); HUPI's standardized effect size was larger than those from the other indices in each database used. In ACT-RAY, depending on visit, between 65 and 80% of patients were equally classified by HUPI and EULAR response criteria. However, HUPI criteria were slightly more stringent, with higher percentage of patients classified as non-responder, especially at early visits. HUPI response criteria showed a slightly higher accuracy than EULAR response criteria when using Delta GDA-Phy as gold standard. Conclusion HUPI shows good responsiveness in terms of correlation in each studied scenario (clinical trial, early RA cohort, and established RA cohort). Response criteria by HUPI seem more stringent than EULAR''s

    Clonal chromosomal mosaicism and loss of chromosome Y in elderly men increase vulnerability for SARS-CoV-2

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    The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, COVID-19) had an estimated overall case fatality ratio of 1.38% (pre-vaccination), being 53% higher in males and increasing exponentially with age. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, we found 133 cases (1.42%) with detectable clonal mosaicism for chromosome alterations (mCA) and 226 males (5.08%) with acquired loss of chromosome Y (LOY). Individuals with clonal mosaic events (mCA and/or LOY) showed a 54% increase in the risk of COVID-19 lethality. LOY is associated with transcriptomic biomarkers of immune dysfunction, pro-coagulation activity and cardiovascular risk. Interferon-induced genes involved in the initial immune response to SARS-CoV-2 are also down-regulated in LOY. Thus, mCA and LOY underlie at least part of the sex-biased severity and mortality of COVID-19 in aging patients. Given its potential therapeutic and prognostic relevance, evaluation of clonal mosaicism should be implemented as biomarker of COVID-19 severity in elderly people. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, individuals with clonal mosaic events (clonal mosaicism for chromosome alterations and/or loss of chromosome Y) showed an increased risk of COVID-19 lethality
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