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Biology subjects

Priest, J. R.

Publications and source records attributed to Priest, J. R..

7 recordsLinked to original sources

SYNPO2L Isoforms Regulate the Action Potential Characteristics and Contractility of Atrial Cardiomyocytes via YAP Signaling to Modulate Atrial Fibrillation Risk

BackgroundSYNPO2L is a component of the sarcomere Z-disk with two distinct isoforms (SYNPO2L_A and SYNPO2L_B) described to regulate actin bundle size. Common and rare variations in SYNPO2L have been implicated in risk for heart failure and atrial fibrillation (AF); however, little is known about the function or pathophysiological mechanism upon disease risk. MethodsThe role of SYNPO2L was explored with human induced pluripotent stem cell cardiomyocyte (hiPSC-CM) models of a rare splicing mutation rs766868752 differentiated into both atrial and ventricular lineages. Electrophysiology was assessed via multi-electrode arrays (MEAs) and contractility was assessed using engineered heart tissues (EHTs). Genetic survival analyses were performed to explore the potential therapeutic role of the SYNPO2L_A isoform in AF risk after myocardial infarction. ResultshiPSC-CMs carrying the splice mutation rs766868752 resulted in preferential expression of the SYNPO2L_B isoform and absence of SYNPO2L_A isoform, and atrial hiPSC-CMs displayed significant differences in action potential durations when unpaced, and spontaneous extra-systolic beats when paced. Contractility of atrial hiPSC-CMs carrying the splice mutation was severely compromised. Electrophysiological differences were normalized and contractility was partially restored by overexpression with AAV:SYNPO2L_A. Absence of SYNPO2L_A in the mutant led to an observed decreased phosphorylation of YAP along with significant downstream transcriptional effects. A direct interaction between SYNPO2L_A and LATS2, a known regulator of YAP phosphorylation was found to occur in hiPSC-CMs. Additionally, a common variant time-to-event analysis may suggest a beneficial effect of the SYNPO2L_A isoform to lower the risk of atrial fibrillation after myocardial infarction. ConclusionsA rare splice mutation conferring isoform predominance of SYNPO2L_B appears to disturb the electrophysiology and contractility of atrial hiPSC-CMs via LATS2 phospho-regulatory effects upon YAP signaling. Supplementation of the SYNPO2L_A isoform can restore many functional deficits and supports a specific gene regulatory role for SYNPO2L in modulating the risk of AF and heart failure.

cell biology↗

Leveraging whole genome sequencing to promote genetic diversity and population health in zoo-housed western lowland gorillas

The sustainability of zoo populations is dependent on maintaining genetic diversity and controlling heritable disease. Here, we explore the integration of whole genome sequencing data in the management of the international zoological population of western lowland gorillas, focusing on genetic diversity and heritable diseases. By comparing kinship values derived from classical pedigree mapping and whole genome sequencing, we demonstrate that genomic data provides a more sensitive measure of relatedness. Our analysis reveals a decrease in genetic diversity due to closed breeding, emphasizing the potential for genetic intervention to mitigate negative impact on population fitness. We identify contributing factors to the decreasing genetic diversity including breeding within a closed population, unknown kinship among potential mates, and disproportionate genetic contributions from individual founders. Additionally, we highlight idiopathic myocardial fibrosis (IMF), a common cardiovascular pathology observed in zoologically housed gorillas, and identify a novel genetic variant in the TNNI3K gene that appears to be associated with this condition. These findings underscore the importance of incorporating molecular data into ex-situ population management strategies, and advocate for the adoption of advanced genomic techniques to optimize the genetic health and diversity of zoologically housed western lowland gorillas.

zoology↗

Mendelian Randomization with Instrumental Variable Synthesis (IVY)

Mendelian Randomization (MR) is an important causal inference method primarily used in biomedical research. This work applies contemporary techniques in machine learning to improve the robustness and power of traditional MR tools. By denoising and combining candidate genetic variants through techniques from unsupervised probabilistic graphical models, an influential latent instrumental variable is constructed for causal effect estimation. We present results on identifying relationships between biomarkers and the occurrence of coronary artery disease using individual-level real-world data from UK-BioBank via the proposed method. The approach, termed Instrumental Variable sYnthesis (IVY) is proposed as a complement to current methods, and is able to improve results based on allele scoring, particularly at moderate sample sizes.

bioinformatics↗

Single-cell transcriptomic landscape of cardiac neural crest cell derivatives during embryonic and neonatal development

RationaleCardiac neural crest cells (CNCCs) contribute greatly to cardiovascular development. A thorough understanding of the cell lineages, transcriptomic states and regulatory networks of CNCC derivatives during normal development is essential for deciphering the pathogenesis of CNCC-associated congenital anomalies. However, the transcriptomic landscape of CNCC derivatives during development has not yet been examined at a single-cell resolution.\n\nObjectiveWe sought to systematically characterize the cell lineages, define the developmental chronology and elucidate the transcriptomic dynamics of CNCC derivatives during embryonic and neonatal development.\n\nMethods and ResultsWe performed single-cell transcriptomic sequencing of 34,131 CNCC-derived cells in mouse hearts from eight developmental stages between E10.5 and P7. Through single-cell analyses and single-molecule fluorescence in situ hybridization, we confirmed the presence of CNCC-derived mural cells. Furthermore, we found the transition from CNCC-derived pericytes to microvascular smooth muscle cells, and identified the genes that were significantly regulated during this transition through pseudo-temporal analysis. CNCC-derived neurons first appeared at E10.5, which was earlier than previously recognized. In addition, the CNCC derivatives switched from a proliferative to a quiescent state with the progression of development. Gradual loss of the neural crest molecular signature with development was also observed in the CNCC derivatives. Our data suggested that many CNCC-derivatives had already committed or differentiated to a specific lineage when migrating to the heart. Finally, we characterized some previously unknown subpopulations of CNCC derivatives during development. For example, we found that Penk+ cells, which were mainly localized in outflow tract cushions, were all derived from CNCCs.\n\nConclusionsOur study provides novel insights into the cell lineages, molecular signatures, developmental chronology and state change dynamics of CNCC derivatives during embryonic and neonatal development. Our dataset constitutes a valuable resource that will facilitate future efforts in exploring the role of CNCC derivatives in development and disease.

developmental biology↗

Single-cell RNA-seq of the Developing Cardiac Outflow Tract Reveals Convergent Development of the Vascular Smooth Muscle Cells at the Base of the Great Arteries

RationaleCardiac outflow tract (OFT) is a major hotspot for congenital heart diseases (CHDs). A thorough understanding of the cellular diversity, transitions and regulatory networks of normal OFT development is essential to decipher the etiology of OFT malformations.\n\nObjectiveWe sought to explore the cellular diversity and transitions between cell lineages during OFT development.\n\nMethods and ResultsWe performed single-cell transcriptomic sequencing of 55,611 mouse OFT cells from three developmental stages that generally correspond to the early, middle and late stages of OFT remodeling and septation. We identified 17 cell clusters that could be assigned to six cell lineages. Among these lineages, the macrophage and VSMC lineages of the developing OFT have seldom been previously described. Known cellular transitions, such as endothelial to mesenchymal transition, have been recapitulated. In particular, we identified convergent development of the VSMC lineage, where intermediate cell subpopulations were found to be involved in either myocardial to VSMC trans-differentiation or mesenchymal to VSMC transition. Through single-molecule in situ hybridization, we observed that cells expressing the myocardial marker Myh7 co-expressed the VSMC marker gene Cxcl12 in OFT walls, thus confirming the existence of myocardial to VSMC trans-differentiation. Moreover, we found that the Penk+ cluster c8, a relatively small mesenchymal subpopulation that was undergoing mesenchymal to VSMC transition, was associated with the fusion of OFT cushions. We also uncovered the expression dynamics and critical transcriptional regulators potentially governing cell state transitions. Finally, we developed web-based interactive interfaces to facilitate further data exploration.\n\nConclusionsWe provide a single-cell reference map of cell states for normal OFT development, which will be a valuable resource for the CHD community. Our data support the existence of myocardial to VSMC trans-differentiation and convergent development of the VSMC lineage at the base of the great arteries.

developmental biology↗

Loss of function, missense, and intronic variants in NOTCH1 confer different risks for left ventricular outflow tract obstructive heart defects in two European cohorts

Loss of function variants in NOTCH1 cause left ventricular outflow tract obstructive defects (LVOTO) in a small percentage of families. Clinical surveys report an increased prevalence of missense variants in NOTCH1 in family members of individuals with LVOTO and other types of congenital heart disease (CHD). However, the risk conferred by rare variants in NOTCH1 for LVOTO remains largely uncharacterized. In a cohort of 49 families affected by hypoplastic left heart syndrome, a severe form of LVOTO, we discovered predicted loss of function NOTCH1 variants in 6% of individuals. Rare missense variants were found in an additional 16% of families. To make a quantitative estimate of the genetic risk posed by variants in NOTCH1 for LVOTO, we studied associations of 400 coding and non-coding variants in NOTCH1 in 271 adult cases and 333,571 controls from the UK Biobank. Two rare intronic variants in strong linkage disequilibrium displayed significant association with risk for LVOTO (g.chr9:139427582C>T, Odds Ratio 16.9, p=3.12e-6; g.chr9:139435649C>T, Odds Ratio 19.6, p = 2.44e-6) amongst European-ancestry British individuals. This result was replicated in an independent analysis of 51 cases and 68,901 controls of non-European and mixed ancestry. We conclude that carrying rare predicted loss of function variants or either of two intronic variants in NOTCH1 confer significant risk for LVOTO. Our approach demonstrates the utility of population-based datasets in quantifying the specific risk of individual variants for disease related phenotypes.\n\nAuthor summaryCongenital heart defects are the most common class of birth defect and are present in 1% of live births. Although CHD cases are often clustered in families, and thus the causal variant(s) are seemingly inherited, finding genetic variants causing these defects has been challenging. With the knowledge that variation in the NOTCH1 gene previously has been associated with CHDs affecting the left side of the heart, our aim was to further investigate the role of different types of NOTCH1 variants in left sided CHDs in two cohorts - a cohort of Finnish families with severe lesions affecting the left side of the heart, and the UK Biobank population including individuals with less severe left-sided lesions such as bicuspid aortic valve, congenital aortic stenosis, and coarctation of the aorta. We found a causal loss-of-function NOTCH1 variant in 6% of the families in the Finnish cohort and in the UK Biobank cohort, we identified two rare variants in the non-coding region of NOTCH1, associated with severe left-sided CHDs. These findings support screening of NOTCH1 loss-of-function variants in patients with severe left sided congenital heart defects and suggests that non-coding region variants in NOTCH1 play a role in CHDs.

genetics↗

Birthweight, Type 2 Diabetes and Cardiovascular Disease: Addressing the Barker Hypothesis with Mendelian randomization

BackgroundLow birthweight (BW) has been associated with a higher risk of hypertension, type 2 diabetes (T2D) and cardiovascular disease (CVD) in epidemiological studies. The Barker hypothesis posits that intrauterine growth restriction resulting in lower BW is causal for these diseases, but causality and mechanisms are difficult to infer from observational studies. Mendelian randomization (MR) is a new tool to address this important question.\n\nMethodsWe performed regression analyses to assess associations of self-reported BW with CVD and T2D in 237,631 individuals from the UK Biobank, a large population-based cohort study aged 40-69 years recruited across UK in 2006-2010. Further, we assessed the causal relationship of such associations using the two- sample MR approach, estimating the causal effect by contrasting the SNP effects on the exposure with the SNP effects on the outcome using independent publicly available genome-wide association datasets.\n\nResultsIn the observational analyses, BW showed strong inverse associations with systolic and diastolic blood pressure ({beta}, -0.83 and -0.26; per raw unit in outcomes and SD change in BW; 95% CI, -0.90, -0.75 and -0.31, -0.22, respectively), T2D (odds ratio [OR], 0.83; 95% CI, 0.79, 0.87), lipid-lowering treatment (OR, 0.84; 95% CI, 0.81, 0.86) and CAD (hazard ratio [HR] 0.85; 95% CI, 0.78, 0.94); while the associations with adult body mass index (BMI) and body fat ({beta}, 0.04 and 0.02; per SD change in outcomes and BW; 95% CI, 0.03, 0.04 and 0.01, 0.02, respectively) were positive. The MR analyses indicated inverse causal associations of BW with low density lipoprotein cholesterol, 2-hour glucose, CAD and T2D, and positive causal association with BMI; but no associations with blood pressure. Sensitivity analyses and robust MR methods provided consistent results and indicated no horizontal pleiotropy.\n\nConclusionOur study indicates that lower BW is causally and directly related with increased susceptibility to CAD and T2D in adulthood. This causal relationship is not mediated by adult obesity or hypertension.

genetics↗