Publications by authors named "Jinhee Han"

This study explored the vasodilatory mechanisms of the sodium-glucose cotransporter-2 inhibitor remogliflozin using femoral arteries of rabbits. Remogliflozin dilated femoral arterial rings pre-contracted with phenylephrine in a concentration-dependent manner. Pretreatment with the Ca-sensitive K channel inhibitor (paxilline), the ATP-sensitive K channel inhibitor (glibenclamide), or the inwardly rectifying K channel inhibitor (Ba) did not alter the vasodilatory effect.

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NF-κB-inducing kinase (NIK) plays a pivotal role in regulating both the canonical and non-canonical NF-κB signaling pathways, driving the expression of proteins involved in inflammation, immune responses, and cell survival. Overactivation of NIK is linked to various pathological conditions, including chronic inflammation, autoimmune diseases, metabolic disorders, and cancer progression. As such, NIK represents a compelling target for therapeutic intervention in these diseases.

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Autism spectrum disorder (ASD) affects up to 1 in 59 children, and is one of the most common neurodevelopmental disorders. Recent genomic studies have highlighted the role of rare variants in ASD. This study aimed to identify genes affected by rare variants shared by siblings with ASD and validate the function of a candidate gene FRRS1L.

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The increasing utilization of deep learning models in drug repositioning has proven to be highly efficient and effective. In this study, we employed an integrated deep-learning model followed by traditional drug screening approach to screen a library of FDA-approved drugs, aiming to identify novel inhibitors targeting the TNF-α converting enzyme (TACE). TACE, also known as ADAM17, plays a crucial role in the inflammatory response by converting pro-TNF-α to its active soluble form and cleaving other inflammatory mediators, making it a promising target for therapeutic intervention in diseases such as rheumatoid arthritis.

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  • PfRh5 has shown promise as a malaria vaccine candidate due to its key role in merozoite invasion and overall stability, with recent trials indicating its safety and effectiveness.
  • A study was conducted in Tanzanian regions known for high malaria transmission to assess genetic variation and immune responses to PfRh5 in asymptomatic carriers, revealing some new mutations but overall genetic conservation.
  • Results indicated variable immune response sensitivity tied to age, with the findings highlighting the importance of ongoing monitoring of vaccine efficacy and antigenic variation to improve malaria vaccine development.
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  • * This study investigated the glucose transporter CsGTP4 in C. sinensis to better understand how the parasite uptakes nutrients, using Xenopus laevis oocytes for experimentation.
  • * Findings showed that CsGTP4 facilitates deoxy-D-glucose uptake in a precise manner that is independent of sodium, with specific kinetics, and is inhibited by glucose and galactose, which can inform the development of new antiparasitic treatments.
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Malaria remains a global health challenge, with increasing resistance to frontline antimalarial treatments such as artemisinin (ART) threatening the efficacy of current therapies. In this study, we investigated the potential of FDA-approved drugs to selectively inhibit the malarial proteasome, a novel target for antimalarial drug development. By leveraging pharmacophore modeling, molecular docking, molecular dynamics (MD) simulations, and binding free-energy calculations, we screened a library of compounds to identify inhibitors selective for the Plasmodium proteasome over the human proteasome.

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Diabetes mellitus (DM) is a complex metabolic disorder characterized by chronic hyperglycemia, with aldose reductase playing a critical role in the pathophysiology of diabetic complications. This study aimed to investigate the efficacy of flavonoid compounds as potential aldose reductase inhibitors using a combination of molecular docking and molecular dynamics (MD) simulations. The three-dimensional structures of representative flavonoid compounds were obtained from PubChem, minimized, and docked against aldose reductase using Discovery Studio's CDocker module.

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  • * The selected compounds underwent molecular docking to evaluate their binding to tryptase and were experimentally tested in rat basophilic leukemia cells to measure their efficacy in inhibiting tryptase and related activities.
  • * Results indicated that certain FDA-approved drugs, such as landiolol and cidofovir, effectively inhibited tryptase, showcasing machine learning's potential in drug repurposing and aiding the development of treatments for related diseases.
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  • * Six different malaria species are transmitted to humans by mosquitoes, and a simian malaria parasite has recently started infecting humans, with its first known case in 2011.
  • * Understanding the complex interactions between parasites, mosquitoes, humans, and macaques is crucial for managing this zoonotic malaria and minimizing health risks.
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Aims: The present study investigated the vasorelaxant mechanisms of an oral antidiabetic drug, anagliptin, using phenylephrine (Phe)-induced pre-contracted rabbit aortic rings.

Methods: Arterial tone measurement was performed in rabbit thoracic aortic rings.

Results: Anagliptin induced vasorelaxation in a dose-dependent manner.

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  • Voltage-dependent K (Kv) channels help maintain vascular tone by restoring the membrane potential in smooth muscle cells; this study focused on how quetiapine, an atypical antipsychotic, affects these channels in rabbit coronary arteries.
  • Quetiapine inhibited Kv channels in a concentration-dependent manner (IC of 47.98 μM) and altered the steady-state inactivation curve without affecting steady-state activation.
  • The drug's inhibitory effects were enhanced with repeated stimulation and were not significantly impacted by specific Kv subtype inhibitors, suggesting that quetiapine's effects on Kv channels could lead to potential cardiovascular side effects when used as an antipsychotic.
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We explored the vasorelaxant effects of ipragliflozin, a sodium-glucose cotransporter-2 inhibitor, on rabbit femoral arterial rings. Ipragliflozin relaxed phenylephrine-induced pre-contracted rings in a dose-dependent manner. Pre-treatment with the ATP-sensitive K channel inhibitor glibenclamide (10 μM), the inwardly rectifying K channel inhibitor Ba (50 μM), or the Ca-sensitive K channel inhibitor paxilline (10 μM) did not influence the vasorelaxant effect.

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The increasing utilization of artificial intelligence algorithms in drug development has proven to be highly efficient and effective. One area where deep learning-based approaches have made significant contributions is in drug repositioning, enabling the identification of new therapeutic applications for existing drugs. In the present study, a trained deep-learning model was employed to screen a library of FDA-approved drugs to discover novel inhibitors targeting JAK2.

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  • The study focuses on two closely related malaria parasites that infect humans, investigating the role of a specific protein, MTRAP, essential for their invasion of human red blood cells.
  • Through a series of experiments, researchers expressed MTRAP proteins, analyzed immune responses, and found that antibodies against these proteins can inhibit parasite invasion.
  • The findings suggest that MTRAP could be a valuable target for creating vaccines and treatments for both vivax and knowlesi malaria.
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Malaria eradication efforts in resource-limited areas require a rapid, economical, and accurate tool for detecting of the low parasitemia. The malaria rapid diagnostic test (mRDT) is the most suitable for on-site detection of the deadliest form of malaria, Plasmodium falciparum. However, the deletions of histidine rich protein 2 and 3 genes are known to compromise the effectiveness of mRDT.

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is the most widely distributed human malaria parasite. The eradication of vivax malaria remains challenging due to transmission of drug-resistant parasite and dormant liver form. Consequently, anti-malarial drugs with novel mechanisms of action are urgently demanded.

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The zoonotic malaria parasite is an important public health concern in Southeast Asia. Invasion of host erythrocytes is essential for parasite growth, and thus, understanding the repertoire of parasite proteins that enable this process is vital for identifying vaccine candidates and how some species are able to cause zoonotic infection. Merozoite surface protein 1 (MSP1) is found in all malaria parasite species and is perhaps the most well-studied as a potential vaccine candidate.

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γ-Aminobutyric acid aminotransferase (GABA-AT) is a pyridoxal 5'-phosphate (PLP)-dependent enzyme that degrades γ-aminobutyric (GABA) in the brain. GABA is an important inhibitory neurotransmitter that plays important neurological roles in the brain. Therefore, GABA-AT is an important drug target that regulates GABA levels.

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Clonorchis sinensis is commonly found in East Asian countries. Clonorchiasis is prevalent in these countries and can lead to various clinical symptoms. In this study, we used overlap extension polymerase chain reaction (PCR) and the Xenopus laevis oocyte expression system to isolate a cDNA encoding the choline transporter of C.

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Background: The Plasmodium vivax merozoite restrictively invades immature erythrocytes, suggesting that its ligand(s) might interact with corresponding receptor(s) that are selectively abundant on reticulocytes to complete the invasion. Finding the ligand‒receptor interaction involved in P. vivax invasion is critical to vivax malaria management; nevertheless, it remains to be unraveled.

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Caffeic acid (CA) derivatives have been reported to exert anti-inflammatory activities in various inflammatory conditions. However, the impact of CA methyl ester (CAME) on the inflammatory response in vascular endothelial cells has not been thoroughly elucidated. In the present study, the aim was to understand how CAME can reduce inflammation in human umbilical vein endothelial cells (HUVECs), which were challenged with lipopolysaccharide (LPS), and elucidate its mechanisms.

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Machine learning algorithms have been increasingly applied in drug development due to their efficiency and effectiveness. Machine learning-based drug repurposing can contribute to the identification of novel therapeutic applications for drugs with other indications. The current study used a trained machine learning model to screen a vast chemical library for new JAK2 inhibitors, the biological activities of which were reported.

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