Biology subjects

Michels, M.

Publications and source records attributed to Michels, M..

6 recordsLinked to original sources

bioRxiv2026

Phosphoproteomics of Hypertrophic Cardiomyopathy Patient Myocardium and Novel hiPSC-CM Model Reveal Protein Kinase A as a Modulator of Microtubule Repolymerization

Background and aimsIncreased levels of -tubulin and its post-translational modifications (PTMs) are found in human heart failure and could initiate diastolic dysfunction by modulating cardiomyocyte stiffness. How these modifications occur and how they may underlie cardiac dysfunction remains unknown. Upstream kinases may play a critical role, but this has not been explored. Methods and resultsHere we address this question by, for the first time ever, determining levels of the enzymes involved in microtubule (MT) detyrosination and acetylation (TAT1, HDAC6) in a well-characterized cohort of patients with hypertrophic cardiomyopathy (HCM). In HCM patients (N=10-11), protein levels of detyrosination enzymes remain unaltered, whilst levels of TAT1 and HDAC6 were decreased and increased, respectively. Phosphoproteomics in HCM (N=24) and control (N=8) myocardium identified significant differences in over 1900 serine/threonine and 160 tyrosine phosphosites, in addition to increased EGFR/IGF1R-MAPK signaling in HCM. We subsequently showed that MT repolymerization was increased in HCM MYBPC3Arg943X hiPSC-CMs. Isoprenaline-mediated PKA activation decreased MT repolymerization in hiPSC-CMs and revealed CLASP1, MAST4 and MAP1A as potential MT modifiers in HCM. ConclusionsWe show that the altered HCM MT code cannot be attributed to levels of key MT-modifying enzymes. By combining kinome analyses in human HCM hearts with hiPSC-CM studies on MT dynamics, PTMs and contractility we unveiled a regulatory role for MTs in the cardiomyocyte response to beta-adrenergic receptor stimulation. Disease-mediated changes in the MT code thereby exert both a direct, and indirect effect on cardiac function via mediating the response to adrenergic activation. Graphical Abstract created with BioRender.com O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=122 SRC="FIGDIR/small/706710v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@1c58dc4org.highwire.dtl.DTLVardef@de502eorg.highwire.dtl.DTLVardef@1621512org.highwire.dtl.DTLVardef@557b82_HPS_FORMAT_FIGEXP M_FIG C_FIG

physiology↗

bioRxiv2025

Spatial genomics of the cardiac sarcomere

Structure-function mapping of proteins has improved our understanding of disease mechanisms and protein domains while human population genetics has provided a window into variational tolerance that can be modeled at a structural level. Here, to reveal novel insight into the cardiac sarcomere, the motor unit of the heart, we develop a novel analytical framework to integrate data from over 17,000 patients with hypertrophic cardiomyopathy (HCM) and combine it with two population-scale genomic databases that incorporate data from more than 800,000 individuals. We integrate in silico genetic predictions of gene variant pathogenicity with 3 dimensional integrative spatial scanning across multiple structural models of cardiac motor proteins. Results reveal both recognized and novel regions of structural variant intolerance across the critical genes of the cardiac sarcomere including novel insights into protein function. We discuss the structural relevance of variant enrichment in the context of sarcomere organization and destabilization of sequestered myosin leading to hypercontractility seen in HCM, by incorporating the recently defined high-resolution structure of human cardiac myosin filament. We extend and validate these findings through pathogenic variant class enrichment and reveal novel associations with the earlier onset of disease in a large clinical cohort. In summary, our study provides a multi-dimensional framework for integrating structural, genomic, and modeling data to reveal novel insight into the cardiac sarcomere.

genomics↗

bioRxiv2025

Microtubule detyrosination alters nuclear mechanotransduction and leads to pro-hypertrophic signaling in hypertrophic cardiomyopathy

BackgroundHypertrophic cardiomyopathy (HCM) is characterized by left ventricular hypertrophy and diastolic dysfunction and is accompanied by extensive cytoskeletal remodeling, including increased protein levels of desmin, tubulin and detyrosinated tubulin. We have previously demonstrated that tubulin detyrosination contributes to diastolic dysfunction. Microtubules are connected to the nucleus by the LINC complex, yet the role of cytoskeleton-nucleus interactions in HCM remain poorly understood. ObjectivesWe investigated whether cytoskeletal remodeling in HCM alters nuclear morphology and mechanics, and modulates hypertrophy-associated signaling pathways. MethodsNuclear morphology was assessed by electron microscopy and immunofluorescence in cardiac septal tissue from obstructive HCM patients (N=19) and non-failing donors (NF, N=8), as well as in Wild-Type (WT, N=18) and homozygous HCM-associated Mybpc3 c.2373InsG mice (Mybpc3c.2373InsG, N=19). A novel live-cell imaging approach was used to study nuclear deformation during cardiomyocyte contraction. YAP1 nuclear translocation was measured to evaluate downstream mechanosensitive signaling and detyrosination inhibitor epoY was used to test causality. ResultsNuclei were highly invaginated and enlarged in HCM in both patients and mice. Nuclear deformation during contraction was restricted in HCM cardiomyocytes, indicating altered mechanotransduction. These changes were associated with increased YAP1 nuclear localization and induction of YAP1 target and hypertrophic genes. Inhibition of microtubule detyrosination reduced nuclear invaginations, restored nuclear deformation and decreased YAP1 nuclear translocation. ConclusionCytoskeletal remodeling in HCM is associated with altered nuclear morphology and mechanotransduction, accompanied by YAP1 translocation which may contribute to hypertrophic remodeling. Targeting microtubule detyrosination rescues this phenotype, identifying nuclear mechanotransduction as a potential therapeutic target for HCM. Unstructured abstractHypertrophic cardiomyopathy (HCM) is characterized by left ventricular hypertrophy and diastolic dysfunction and is accompanied by extensive cytoskeletal remodeling, including increased desmin, tubulin, and detyrosinated tubulin levels, which we previously showed contribute to impaired relaxation. Since microtubules connect to the nucleus via the LINC complex, we investigated whether cytoskeletal remodeling alters nuclear morphology, mechanics, and hypertrophy-associated signaling. Using electron microscopy and immunofluorescence in cardiac septal tissue from obstructive HCM patients and non-failing donors, and immunofluorescence and live-cell imaging in septal tissue from Wild-Type and homozygous HCM-associated Mybpc3 c.2373InsG mice, we found that nuclei were enlarged and highly invaginated, with restricted nuclear deformation during contraction, indicating altered mechanotransduction. These changes were associated with increased YAP1 nuclear localization and increased expression of YAP1 target and hypertrophic genes. Inhibiting microtubule detyrosination reduced nuclear abnormalities, restored nuclear deformation, and decreased YAP1 nuclear translocation, identifying nuclear mechanotransduction as a potential therapeutic target in HCM. Visual abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=122 SRC="FIGDIR/small/646061v2_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@7f915forg.highwire.dtl.DTLVardef@12131c6org.highwire.dtl.DTLVardef@4aff5eorg.highwire.dtl.DTLVardef@1c3a3a8_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LICytoskeletal remodeling contributes to nuclear abnormalities and impaired mechanotransduction in hypertrophic cardiomyopathy. C_LIO_LIMicrotubule detyrosination promotes nuclear invaginations and increased YAP1 signaling in hypertrophic cardiomyopathy. C_LIO_LIPharmacological reduction of detyrosinated tubulin normalizes nuclear structure and mechanosignaling. C_LIO_LITargeting nuclear-cytoskeletal coupling may provide new therapeutic strategies for hypertrophic cardiomyopathy. C_LI

physiology↗

bioRxiv2020

Computational prediction of protein subdomain stability in MYBPC3 enables clinical risk stratification in hypertrophic cardiomyopathy and enhances variant interpretation.

PurposeVariants in MYBPC3 causing loss-of-function are the most common cause of HCM. However, a substantial number of patients carry missense variants of uncertain significance (VUS) in MYBPC3. We hypothesize that a structural-based algorithm, STRUM, which estimates the effect of missense variants on protein folding, will improve clinical risk stratification of patients with HCM and a MYBPC3 VUS. MethodsAmong 7,963 patients in the multi-center Sarcomeric Human Cardiomyopathy Registry, 120 unique missense VUSs in MYBPC3 were identified. Variants were evaluated for their effect on subdomain folding and a stratified time-to-event analysis for an overall composite endpoint (first occurrence of ventricular arrhythmia, heart failure, all-cause mortality, atrial fibrillation, and stroke) was performed for patients with HCM and a MYBPC3 missense VUS. ResultsWe demonstrated that patients carrying a MYBPC3 VUS predicted to cause subdomain misfolding (STRUM +, {Delta}{Delta}G [≤]-1.2 kcal/mol) exhibited a higher rate of adverse events compared to those with a STRUM-VUS (Hazard Ratio=2.29, P=0.0282). In silico saturation mutagenesis of MYBPC3 identified 4,943/23,427 (21%) missense variants that were predicted to cause subdomain misfolding. ConclusionsSTRUM enables clinical risk stratification of patients with HCM and a MYBPC3 VUS and has the capacity to improve prognostic predictions and clinical decision making.

genetics↗

bioRxiv2020

Disease-specific variant pathogenicity prediction significantly improves variant interpretation in inherited cardiac conditions

BackgroundAccurate discrimination of benign and pathogenic rare variation remains a priority for clinical genome interpretation. State-of-the-art machine learning tools are useful for genome-wide variant prioritisation but remain imprecise. Since the relationship between molecular consequence and likelihood of pathogenicity varies between genes with distinct molecular mechanisms, we hypothesised that a disease-specific classifier may outperform existing genome-wide tools. MethodsWe present a novel disease-specific variant classification tool, CardioBoost, that estimates the probability of pathogenicity for rare missense variants in inherited cardiomyopathies and arrhythmias, trained with variants of known clinical effect. To benchmark against state-of-the-art genome-wide pathogenicity classification tools, we assessed classification of hold-out test variants using both overall performance metrics, and metrics of high-confidence (>90%) classifications relevant to variant interpretation. We further evaluated the prioritisation of variants associated with disease and patient clinical outcomes, providing validations that are robust to potential mis-classification in gold-standard reference datasets. ResultsCardioBoost has higher discriminating power than published genome-wide variant classification tools in distinguishing between pathogenic and benign variants based on overall classification performance measures with the highest area under the Precision-Recall Curve as 91% for cardiomyopathies and as 96% for inherited arrhythmias. When assessed at high-confidence (>90%) classification thresholds, prediction accuracy is improved by at least 120% over existing tools for both cardiomyopathies and arrhythmias, with significantly improved sensitivity and specificity. Finally, CardioBoost improves prioritisation of variants significantly associated with disease, and stratifies survival of patients with cardiomyopathies, confirming biologically relevant variant classification. ConclusionsWe demonstrate that a disease-specific variant pathogenicity prediction tool outperforms state-of-the-art genome-wide tools for the classification of rare missense variants of uncertain significance for inherited cardiac conditions. To facilitate evaluation of CardioBoost, we provide pre-computed pathogenicity scores for all possible rare missense variants in genes associated with cardiomyopathies and arrhythmias (https://www.cardiodb.org/cardioboost/). Our results also highlight the need to develop and evaluate variant classification tools focused on specific diseases and clinical application contexts. Our proposed model for assessing variants in known disease genes, and the use of application-specific evaluations, is broadly applicable to improve variant interpretation across a wide range of Mendelian diseases.

genetics↗

bioRxiv2018

Quantitative approaches to variant classification increase the yield and precision of genetic testing in Mendelian diseases: The case of hypertrophic cardiomyopathy

BackgroundInternational guidelines for variant interpretation in Mendelian disease set stringent criteria to report a variant as (likely) pathogenic, prioritising control of false positive rate over test sensitivity and diagnostic yield. Genetic testing is also more likely informative in individuals with well-characterised variants from extensively studied European-ancestry populations. Inherited cardiomyopathies are relatively common Mendelian diseases that allow empirical calibration and assessment of this framework.\n\nResultsWe compared rare variants in large hypertrophic cardiomyopathy (HCM) cohorts to reference populations to identify variant classes with high prior likelihoods of pathogenicity, as defined by etiological fraction (EF). Analysis of variant distribution identified regions in which variants are significantly enriched in cases and variant location was a better discriminator of pathogenicity than generic computational functional prediction algorithms. Non-truncating variant classes with an EF[≥]0.95, and therefore clinically actionable, were identified in 5 established HCM genes. Applying this approach leads to an estimated 14-20% increase in cases with actionable HCM variants.\n\nConclusionsWhen found in a patient confirmed to have disease, novel variants in some genes and regions are empirically shown to have a sufficiently high probability of pathogenicity to support a \"likely pathogenic\" classification, even without additional segregation or functional data. This could increase the yield of high confidence actionable variants, consistent with the framework and recommendations of current guidelines. The techniques outlined offer a consistent, unbiased and equitable approach to variant interpretation for Mendelian disease genetic testing. We propose adaptations to ACMG/AMP guidelines to incorporate such evidence in a quantitative and transparent manner.

genetics↗