Biology subjects

Hori, A.

Publications and source records attributed to Hori, A..

5 recordsLinked to original sources

bioRxiv2025

Discovery of The Clinical Candidate S-892216: A Second-Generation of SARS-CoV-2 3CL Protease Inhibitor for Treating COVID-19

The coronavirus disease 2019 (COVID-19) pandemic crisis has been mitigated by worldwide efforts to develop vaccines and therapeutic drugs. However, there remains concern regarding public health and an unmet need for therapeutic options. Herein, we report the discovery of S-892216, a second-generation SARS-CoV-2 3C-like protease (3CLpro) inhibitor, to treat COVID-19. S-892216 is a reversible covalent 3CLpro inhibitor with highly potent antiviral activity and an EC50 value of 2.48 nM against SARS-CoV-2 infected cells. Structure-based design of a covalent modifier for compound 1 revealed that introducing a nitrile warhead increased 3CLpro inhibition activity by 180-fold. Subsequent optimization efforts yielded S-892216, which combined a favorable pharmacokinetic profile and high off-target selectivity. S-892216 exhibited antiviral activity against diverse SARS-CoV-2 variants, with no cross-resistance to major mutations reducing antiviral activities of nirmatrelvir and ensitrelvir. In SARS-CoV-2-infected mice, S-892216 inhibited viral replication in the lungs similar to ensitrelvir, although at a 30-fold lower dose.

biochemistry↗

bioRxiv2024

MS2Lipid: a lipid subclass prediction program using machine learning and curated tandem mass spectral data

Untargeted lipidomics using collision-induced dissociation-based tandem mass spectrometry (CID-MS/MS) is essential for biological and clinical applications. However, annotation confidence is still guaranteed by manual curation by analytical chemists, although various software tools have been developed for automatic spectral processing based on rule-based fragment annotations. In this study, we provide a novel machine learning model, MS2Lipid, for the prediction of lipid subclasses from MS/MS queries to provide an orthogonal decision of lipidomics software programs to determine the lipid subclass of ion features, in which a new descriptor, MCH (mode of carbon and hydrogen), was designed to increase the specificity of lipid subclasses in nominal mass resolution MS data. The model trained with 5,224 and 5,408 manually curated MS/MS spectra for the positive- and negative-ion modes mapped the query into one or several categories of 97 lipid subclasses, with an accuracy of 95.5% queries in the test set. Our program outperformed the CANOPUS ontology prediction program, providing correct annotations for 38.7% of the same test set. The program was further validated using various datasets from different machines and curators, and the average accuracy exceeded 87.4 %. Furthermore, the function of MS2Lipid was showcased by the annotation of novel esterified bile acids, whose abundance was significantly increased in obese patients in a human cohort study, suggesting that the machine learning model provides an independent criterion for lipid subclass classification, in addition to an environment for annotating lipid metabolites that have been previously unknown.

bioinformatics↗

bioRxiv2023

Carvedilol suppresses ryanodine receptor-dependent Ca2+ bursts in human neurons bearing PSEN1 variants found in early onset Alzheimer's disease

Seizures are increasingly being recognized as the hallmark of Alzheimers disease (AD). Neuronal hyperactivity can be a consequence of neuronal damage caused by abnormal amyloid {beta} (A{beta}) depositions. However, it can also be a cell-autonomous phenomenon causing AD by A{beta}-independent mechanisms. Indeed, various studies using animal models showed that Ca2+ releases from the endoplasmic reticulum (ER) via type 1 inositol triphosphate receptors (InsP3R1s) and ryanodine receptors (RyRs). To investigate which is the main pathophysiological mechanism in human neurons, we measured Ca2+ signaling in neural cells derived from three early-onset AD patients harboring variants of Presenilin-1 (PSEN1 p.A246E, p.L286V, and p.M146L). Of these, it has been reported that PSEN1 p.A246E and p.L286V did not produce a significant amount of abnormal A{beta}. We found that all PSEN1-mutant neurons, but not wild-type, caused abnormal Ca2+-bursts in a manner dependent on the calcium channel, Ryanodine Receptor 2 (RyR2). Indeed, carvedilol, anRyR2 inhibitor, and VK-II-86, an analog of carvedilol without the {beta}-blocking effects, sufficiently eliminated the abnormal Ca2+ bursts. In contrast, Dantrolene, a RyR1 inhibitor, and Xestospongin c, an IP3R inhibitor, did not attenuate the Ca2+-bursts. The RNA-Seq data revealed that ER-stress responsive genes were increased, and mitochondrial Ca2+-transporter genes were decreased in PSEN1A246E cells compared to the WT neurons. Thus, we propose that aberrant Ca2+ signaling is a key link between human pathogenic PSEN1 variants and cell-intrinsic hyperactivity prior to deposition of abnormal A{beta}, offering prospects for the development of targeted prevention strategies for at-risk individuals. One Sentence SummaryAberrant Ca2+-signaling causes PSEN1-related early onset Alzheimers disease.

neuroscience↗

bioRxiv2019

Membrane Protrusion Formation Mediated by Rho/ROCK Signalling and Modulation of Chloride Flux

Membrane protrusion is an important structural property associated with various cellular functions. The pentaspan membrane protein Prominin-1 (Prom1/CD133) is known to be localised to the protrusions and plays a pivotal role in migration and the determination of cellular morphology; however, the underlying mechanisms have been elusive. Here, we demonstrate that Prom1 is sufficient to trigger membrane protrusion formation. Overexpression of Prom1 in the RPE-1 cells triggers multiple long cholesterol-enriched protrusions, independently from actin and tubulin polymerisation. For this protrusion formation, the five amino acid stretch located at the carboxyl cytosolic region is essential. Moreover, the small GTPase Rho and its effector kinase ROCK are essential for this protrusion formation, and the intersection point of active Rho and Prom1 is where the protrusion formation initiates. Importantly, Prom1 causes the chloride ion efflux induced by calcium ion uptake, and protrusion formation is closely associated with the chloride efflux activity. Altogether, this study has elucidated that Prom1 plays critical roles for the membrane morphology and chloride ion flux.

cell biology↗

bioRxiv2018

GPR17 is an Essential Component of the Negative Feedback Loop of the Sonic Hedgehog Signalling Pathway in Neural Tube Development

Dorsal-ventral pattern formation of the neural tube is regulated by temporal and spatial activities of extracellular signalling molecules. Sonic hedgehog (Shh) assigns ventral neural subtypes via activation of the Gli transcription factors. Shh activity changes dynamically during neural differentiation, but the mechanisms responsible for regulating this dynamicity are not fully understood. Here we show that the P2Y-type G-protein coupled receptor GPR17 is involved in temporal regulation of the Shh signal. GPR17 was expressed in the ventral progenitor regions of the neural tube and acted as a negative regulator of the Shh signal in chick embryos. While the activation of the GPR17-related signal inhibited ventral identity, perturbation of GPR17 expression led to aberrant expansion of ventral neural domains. Notably, perturbation of GPR17 expression partially inhibited the negative feedback of Gli activity. Moreover, GPR17 increased cAMP activity, suggesting that it exerts its function by inhibiting the processing of Gli3 protein. GPR17 also negatively regulated Shh signalling in neural cells differentiated from mouse embryonic stem cells, suggesting that GPR17 function is conserved among different organisms. Our results demonstrate that GPR17 is a novel negative regulator of Shh signalling in a wide range of cellular contexts.\n\nAuthor SummaryDuring neural development, determination of cell fate and the progress of differentiation are regulated by extracellular signal molecules, including Sonic Hedgehog (Shh). Shh forms a gradient within the embryonic organ of the central nervous system, or the neural tube, and a variety of cells are produced corresponding to the concentration. While the signal concentration is critical for cell fate, recent studies have revealed that the intracellular signal intensity does not always correspond to the Shh concentration. Rather, the intracellular signal intensity changes over time. Importantly, the signal intensity peaks and gradually decreases thereafter, and the half-life of the Shh signal contributes to the cell fate determination. However, the mechanisms for this temporal change are not fully understood.\n\nBy using chick embryos and mouse embryonic stem cells as model systems, we demonstrate that the G-protein coupled receptor, GPR17, is an essential regulator for the negative feedback of the Shh signal during neural development. While GPR17 gene expression is induced by the Shh signal, GPR17 perturbs the Shh signalling pathway. This negative function of GPR17 on the Shh signal is conserved among different vertebrate species. The collective data demonstrate that GPR17 is a negative regulator for the Shh signalling pathway in a wide range of the cellular contexts.

developmental biology↗