Comparison of Artificial Intelligence-Derived Heart Age with Chronological Age Using Normal Sinus Electrocardiograms in Patients with No Evidence of Cardiac Disease.

: Chronological age (CA) is commonly used in clinical decision-making, yet it may not accurately reflect biological aging. Recent advances in artificial intelligence (AI) allow estimation of electrocardiogram (ECG)-derived heart age, which may serve as a non-invasive biomarker for physiological aging. This study aimed to develop and validate a deep learning model to predict ECG-heart age in individuals with no structural heart disease.

An Artificial Intelligence Algorithm for Early Detection of Left Ventricular Systolic Dysfunction in Patients with Normal Sinus Rhythm.

Most previous studies using artificial intelligence (AI) to detect left ventricular systolic dysfunction (LVSD) from electrocardiograms (ECGs) relied on data obtained near the time of echocardiography or included patients with known cardiac disease, limiting their specificity for screening. We aimed to evaluate whether AI models could predict future LVSD from ECGs interpreted as normal and recorded one to two years before echocardiography. We retrospectively analyzed 24,203 sinus rhythm ECGs from 11,131 patients.

Explainability Enhanced Machine Learning Model for Classifying Intellectual Disability and Attention-Deficit/Hyperactivity Disorder With Psychological Test Reports.

Background: Psychological test reports are essential in assessing intellectual functioning, aiding in diagnosing and treating intellectual disability (ID) and attention-deficit/hyperactivity disorder (ADHD). However, these reports can have several problems because they are diverse, unstructured, subjective, and involve human errors. Additionally, physicians often do not read the entire report, and the number of reports is lower than that of diagnoses.

Topic Modeling of Social Networking Service Data on Occupational Accidents in Korea: Latent Dirichlet Allocation Analysis.

Background: In most industrialized societies, regulations, inspections, insurance, and legal options are established to support workers who suffer injury, disease, or death in relation to their work; in practice, these resources are imperfect or even unavailable due to workplace or employer obstruction. Thus, limitations exist to identify unmet needs in occupational safety and health information.

Objective: The aim of this study was to explore hidden issues related to occupational accidents by examining social network services (SNS) data using topic modeling.

Mining Hidden Knowledge About Illegal Compensation for Occupational Injury: Topic Model Approach.

Background: Although injured employees are legally covered by workers' compensation insurance in South Korea, some employers make agreements to prevent the injured employees from claiming their compensation. Thus, this leads to underreporting of occupational injury statistics. Illegal compensation (called gong-sang in Korean) is a critical method used to underreport or cover-up occupational injuries.

H-Ras mediates the inhibitory effect of epidermal growth factor on the epithelial Na+ channel.

The present study investigates the role of small G-proteins of the Ras family in the epidermal growth factor (EGF)-activated cellular signalling pathway that downregulates activity of the epithelial Na+ channel (ENaC). We found that H-Ras is a key component of this EGF-activated cellular signalling mechanism in M1 mouse collecting duct cells. Expression of a constitutively active H-Ras mutant inhibited the amiloride-sensitive current.

Regulation of the epithelial Na+ channel by the RH domain of G protein-coupled receptor kinase, GRK2, and Galphaq/11.

The G protein-coupled receptor kinase (GRK2) belongs to a family of protein kinases that phosphorylates agonist-activated G protein-coupled receptors, leading to G protein-receptor uncoupling and termination of G protein signaling. GRK2 also contains a regulator of G protein signaling homology (RH) domain, which selectively interacts with α-subunits of the Gq/11 family that are released during G protein-coupled receptor activation. We have previously reported that kinase activity of GRK2 up-regulates activity of the epithelial sodium channel (ENaC) in a Na(+) absorptive epithelium by blocking Nedd4-2-dependent inhibition of ENaC.

The activity of the epithelial sodium channels is regulated by caveolin-1 via a Nedd4-2-dependent mechanism.

It has recently been shown that the epithelial Na(+) channel (ENaC) is compartmentalized in caveolin-rich lipid rafts and that pharmacological depletion of membrane cholesterol, which disrupts lipid raft formation, decreases the activity of ENaC. Here we show, for the first time, that a signature protein of caveolae, caveolin-1 (Cav-1), down-regulates the activity and membrane surface expression of ENaC. Physical interaction between ENaC and Cav-1 was also confirmed in a coimmunoprecipitation assay.

Direct targeting of tumor cell F(1)F(0) ATP-synthase by radioiodine angiostatin in vitro and in vivo.

Unlabelled: Recent discoveries have identified endothelial cell-surface F(1)F(0) adenosine triphosphate (ATP) synthase as the key target for angiostatin (AST) action. As this enzyme is also present on tumor cells, we investigated whether radiolabeled AST may directly target cancer cell-surface ATP synthase in vitro and in vivo.

Methods: Cell-binding characteristics of (125)I-AST was evaluated on human umbilical vein endothelial (HUVE) and SNU-C5 colon carcinoma cells.

Distribution and pharmacokinetic analysis of angiostatin radioiodine labeled with high stability.

Objective: Radiotracers of anticancer agents provide important information on its in vivo handling. Angiostatin (AST) is a promising anticancer drug with potent antiangiogenic effects, but reported AST radiotracers suffer from poor in vivo stability. In this study, we synthesized an AST probe radioiodinated via the Bolton-Hunter reagent (125I-BH-AST) and investigated its stability and biokinetics in mice.

Radiolabeled RGD uptake and alphav integrin expression is enhanced in ischemic murine hindlimbs.

Unlabelled: Radiolabeled RGD peptides that target alpha(v)beta3 integrin are promising tracers for imaging tumor angiogenesis. Integrins and angiogenesis also play important roles in healing of ischemic lesions. Thus, we investigated the biodistribution of radiolabeled RGD and expression of alpha(v) integrin in a mouse model of hindlimb ischemia.

Specific endothelial binding and tumor uptake of radiolabeled angiostatin.

Angiostatin (AS) is a potent antiangiogenic agent which inhibits tumor growth through specific action on proliferating endothelial cells. Imaging of radiolabeled AS would enhance our knowledge on the pharmacokinetics of AS and might provide useful information relating to tumor neovasculature. We therefore investigated the potential of radiolabeled AS as a novel tumor imaging agent.