Publications by authors named "Sek-Won Kong"

Understanding the intricate cellular interactions involved in bone restoration is crucial for developing effective strategies to promote bone healing and mitigate conditions such as osteoporosis and fractures. Here, we provide compelling evidence supporting the anabolic effects of a pharmacological Pyk2 inhibitor (Pyk2-Inh) in promoting bone restoration. In vitro, Pyk2 signaling inhibition markedly enhances alkaline phosphatase (ALP) activity, a hallmark of osteoblast differentiation, through activation of canonical Wnt/β-catenin signaling.

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Backgrounds: Pediatric patients with congenital heart disease (CHD) often require surgical repair using cardiopulmonary bypass. Despite advancements, mortality and complication rates remain significant.

Methods & Results: We prospectively examined 101 patients undergoing congenital cardiac surgery, identifying a mortality rate of 4.

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Article Synopsis
  • Biomedical research is increasingly integrating artificial intelligence (AI) and machine learning (ML) to tackle complex challenges, necessitating a focus on ethical and explainable AI (XAI) due to the complexities of deep learning methods.
  • The NIH's Bridge2AI program is working on creating new flagship datasets aimed at enhancing AI/ML applications in biomedicine while establishing best practices, tools, standards, and criteria for assessing the data's AI readiness, including legal and ethical considerations.
  • The article outlines foundational criteria developed by the NIH Bridge2AI Standards Working Group to ensure the scientific rigor and ethical use of AI in biomedical research, emphasizing the need for ongoing adaptation as the field evolves.
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  • - Multinucleated microglia, typically seen in infection, inflammation, and aging, may actually help clear brain debris due to their larger size and enhanced phagocytic capabilities, prompting a reevaluation of their role in diseases.
  • - Researchers inhibited Pyk2 activity with PF-431396 to promote the formation of multinucleated microglia, finding that these cells were more effective at engulfing β-amyloid oligomers and showed increased lysosomal activity, indicating improved debris clearance.
  • - In a mouse model of Alzheimer's, inhibiting Pyk2 led to increased microglial migration towards amyloid deposits and reduced inflammation in human microglia, positioning Pyk2 as a potential therapeutic target for neuro
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  • Blood-based small molecule metabolites can provide valuable insights into health and disease risk, especially in understanding heart failure (HF) through metabolite profiling in individuals who initially do not have HF.
  • The study used network analysis to reveal how metabolites interact and their roles in influencing HF risk, while controlling for confounding factors among metabolites.
  • Key findings indicate that certain metabolites, like glycine and asparagine, are linked to both dietary intake and genetic factors, highlighting their importance in predicting HF incidence and understanding complex health conditions.
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Genetic testing has become an essential component in the diagnosis and management of a wide range of clinical conditions, from cancer to developmental disorders, especially in rare Mendelian diseases. Efforts to identify rare phenotype-associated variants have predominantly focused on protein-truncating variants, while the interpretation of missense variants presents a considerable challenge. Deep learning algorithms excel in various applications across biomedical tasks, yet accurately distinguishing between pathogenic and benign genetic variants remains an elusive goal.

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Inhaled corticosteroids (ICS) are efficacious in the treatment of asthma, which affects more than 300 million people in the world. While genome-wide association studies have identified genes involved in differential treatment responses to ICS in asthma, few studies have evaluated the effects of combined rare and common variants on ICS response among children with asthma. Among children with asthma treated with ICS with whole exome sequencing (WES) data in the PrecisionLink Biobank (91 White and 20 Black children), we examined the effect and contribution of rare and common variants with hospitalizations or emergency department visits.

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Unlabelled: Pediatric patients with congenital heart diseases (CHD) often undergo surgical repair on cardiopulmonary bypass (CPB). Despite a significant medical and surgical improvement, the mortality of neonates and infants remains high. Damage-associated molecular patterns (DAMPs) are endogenous molecules released from injured/damaged tissues as danger signals.

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Osteoclasts uniquely resorb calcified bone matrices. To exert their function, mature osteoclasts maintain the cellular polarity and directional vesicle trafficking to and from the resorbing bone surface. However, the regulatory mechanisms and pathophysiological relevance of these processes remain largely unexplored.

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Article Synopsis
  • - The study analyzed metabolite profiles from individuals without heart failure to understand the connections between different metabolites and their potential role in heart failure incidence.
  • - Researchers identified specific metabolites, like glycine and asparagine, that are linked to heart failure risk, taking into account polygenic factors and the influence of dietary amino acids.
  • - The findings highlight how metabolites are interconnected and may help bridge genetic and lifestyle factors in heart failure development, contributing to a better mechanistic understanding of the condition.
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Background: Unravelling the relationships between candidate genes and autism spectrum disorder (ASD) phenotypes remains an outstanding challenge. Endophenotypes, defined as inheritable, measurable quantitative traits, might provide intermediary links between genetic risk factors and multifaceted ASD phenotypes. In this study, we sought to determine whether plasma metabolite levels could serve as endophenotypes in individuals with ASD and their family members.

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In vivo experimental analysis of human brain tissue poses substantial challenges and ethical concerns. To address this problem, we developed a computational method called the Brain Gene Expression and Network-Imputation Engine (BrainGENIE) that leverages peripheral-blood transcriptomes to predict brain tissue-specific gene-expression levels. Paired blood-brain transcriptomic data collected by the Genotype-Tissue Expression (GTEx) Project was used to train BrainGENIE models to predict gene-expression levels in ten distinct brain regions using whole-blood gene-expression profiles.

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The regulatory elements in proximal and distal regions of genes are involved in the regulation of gene expression. Risk alleles in intronic and intergenic regions may alter gene expression by modifying the binding affinity and stability of diverse DNA-binding proteins implicated in gene expression regulation. By focusing on the local ancestral structure of coding and regulatory regions using the paired whole-genome sequence and tissue-wide transcriptome datasets from the Genotype-Tissue Expression project, we investigated the impact of genetic variants, in aggregate, on tissue-specific gene expression regulation.

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Article Synopsis
  • The study explores how genetics affects metabolite levels in children, using a large sample size of 441 kids and analyzing nearly 620,000 genetic variants.
  • The research shows a variety of heritability estimates for different metabolites, with some having strong genetic influences, particularly those related to amino acids, while others like carbohydrates showed weak links.
  • It identifies 54 significant genetic associations with specific metabolites, some of which have been previously studied, while also hinting at new potential associations, indicating the complexity of metabolic genetics in children.
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Autism spectrum disorder (ASD) represents a heterogeneous group of neurodevelopmental disorders and is largely attributable to genetic risk factors. Phenotypic and genetic heterogeneity of ASD have been well-recognized; however, genetic substrates for endophenotypes that constitute phenotypic heterogeneity are not yet known. In the present study, we compiled data from the Autism Genetic Resource Exchange, which contains the demographic and detailed phenotype information of 11,961 individuals.

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  • Pediatric acute respiratory distress syndrome (PARDS) is a serious condition in critically ill children, but effective treatments are lacking due to unclear understanding of its biological mechanisms.
  • * Researchers have used both targeted and broad approaches to study PARDS, but most advancements have come from adult studies, leaving a gap in pediatric-specific research.
  • * The authors emphasize the need for advanced techniques like single-cell RNA sequencing to better understand PARDS mechanisms and develop targeted therapies for children.
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Prevalence of autism spectrum disorder (ASD) has been increasing in the United States in the past decades. The exact mechanisms remain enigmatic, and diagnosis of the disease still relies primarily on assessment of behavior. We first used a case-control design (75 idiopathic cases and 29 controls, enrolled at Boston Children's Hospital from 2007-2012) to identify plasma biomarkers of ASD through a metabolome-wide association study approach.

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The statin family of therapeutics is widely used clinically as cholesterol lowering agents, and their effects to target intracellular mevalonate production is a key mechanism of action. In this study, we performed full transcriptomic RNA sequencing and qPCR to evaluate the effects of mevalonate on the immunoregulatory phenotype of endothelial cells (EC). We find that mevalonate-dependent gene regulation includes a reduction in the expression of multiple pro-inflammatory genes including TNFSF4 (OX40-L) and TNFSF18 (GITR-L) and a co-incident induction of immunoregulatory genes including LGALS3 (Galectin-3) and LGALS9 (Galectin-9).

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Background And Objectives: Opsoclonus-myoclonus syndrome (OMS) is a rare autoimmune disorder associated with neuroblastoma in children, although idiopathic and postinfectious etiologies are present in children and adults. Small cohort studies in homogenous populations have revealed elevated rates of autoimmunity in family members of patients with OMS, although no differentiation between paraneoplastic and nonparaneoplastic forms has been performed. The objective of this study was to investigate the prevalence of autoimmune disease in first-degree relatives of pediatric patients with paraneoplastic and nonparaneoplastic OMS.

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Background: Whole exome sequencing (WES) is widely adopted in clinical and research settings; however, one of the practical concerns is the potential false negatives due to incomplete breadth and depth of coverage for several exons in clinically implicated genes. In some cases, a targeted gene panel testing may be a dependable option to ascertain true negatives for genomic variants in known disease-associated genes. We developed a web-based tool to quickly gauge whether all genes of interest would be reliably covered by WES or whether targeted gene panel testing should be considered instead to minimize false negatives in candidate genes.

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Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a pandemic as of early 2020. Upon infection, SARS-CoV-2 attaches to its receptor, that is, angiotensin-converting enzyme 2 (ACE2), on the surface of host cells and is then internalized into host cells via enzymatic machineries. This subsequently stimulates immune response factors.

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Tissue-resident macrophages are highly specialized to their tissue-specific microenvironments, activated by various inflammatory signals and modulated by genetic and environmental factors. Osteoclasts and microglia are distinct tissue-resident cells of the macrophage lineage in bone and brain that are responsible for pathological changes in osteoporosis and Alzheimer's disease (AD), respectively. Osteoporosis is more frequently observed in individuals with AD compared to the prevalence in general population.

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Individuals are exposed to a wide variety of chemicals over their lifetime, yet current understanding of mixture toxicology is still limited. We present a two-step analytical method using a gas chromatograph-triple quadrupole mass spectrometer that requires less than 1 mL of sample. The method is applied to 183 plasma samples from a study population of children with autism spectrum disorder, their parents, and unrelated neurotypical children.

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The COVID-19 pandemic highlighted healthcare disparities in multiple countries. As such morbidity and mortality vary significantly around the globe between populations and ethnic groups. Underlying medical conditions and environmental factors contribute higher incidence in some populations and a genetic predisposition may play a role for severe cases with respiratory failure.

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We report the implantation of patient-derived midbrain dopaminergic progenitor cells, differentiated in vitro from autologous induced pluripotent stem cells (iPSCs), in a patient with idiopathic Parkinson's disease. The patient-specific progenitor cells were produced under Good Manufacturing Practice conditions and characterized as having the phenotypic properties of substantia nigra pars compacta neurons; testing in a humanized mouse model (involving peripheral-blood mononuclear cells) indicated an absence of immunogenicity to these cells. The cells were implanted into the putamen (left hemisphere followed by right hemisphere, 6 months apart) of a patient with Parkinson's disease, without the need for immunosuppression.

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