Biology subjects

Yamashita, A.

Publications and source records attributed to Yamashita, A..

At least 19 recordsLinked to original sources

bioRxiv2026

Subspace Image Synthesis for Style-Invariant Object Recognition

Human-like behavior in visual models does not necessarily imply human-like internal computation. When a model recognizes objects robustly across changes in visual style, what internal computations support this behavior, and which are relevant to human perception? We addressed this question by pruning style-robust neural networks into candidate submodels corresponding to two computational strategies. The first retained channels whose responses were stable across style changes for fixed content, yielding a Content Stability Score (CSS)-based submodel. The second retained channels whose responses were stable across content changes for fixed style, yielding a Style Stability Score (SSS)-based submodel. Across ImageNet, Stylized ImageNet, and model-versus-human benchmarks, the two submodel families showed comparable object-recognition performance. We then used their exclusive feature subspaces to generate matched images with Gram-matrix-based neural style transfer and asked human observers which image was more similar in visual style to a reference image. Images generated from the CSS-based submodel were selected significantly more often than chance, even though CSS preferentially retained channels whose individual activation patterns were relatively insensitive to style. These results suggest that representations preserving content across style changes are more consistent with human judgments of visual style. More broadly, they demonstrate a framework for isolating candidate computational subspaces from large artificial models and testing their perceptual relevance through image synthesis.

neuroscience↗

bioRxiv2026

Task-general brain state dynamics relate to trial-to-trial performance and individual response strategy

Behavior fluctuates from moment to moment, yet individuals also show characteristic response strategies across tasks. Whether these two levels of variation relate to common brain dynamics is unknown. Using an inside-out approach across 10 cognitive tasks during fMRI, we identified recurring brain states and related their dynamics to behavior within and between individuals. Default mode network (DMN) dominant and action mode network (AMN) dominant states occurred in all tasks. Within individuals, momentary state identity (the state occupied at a given moment) tracked trial-to-trial performance. The AMN-dominant state was associated with slower, more variable responses across tasks, whereas its relationship to accuracy depended on the task. Across individuals, switching between the two states, but not time spent in either, showed cross-task consistency, and frequent switchers showed faster, less accurate responding. Thus, distinct aspects of the same task-general brain state dynamics, momentary state identity and state switching, relate to behavior at both levels.

neuroscience↗

bioRxiv2026

Enhancing the hyaline cartilage regenerative potential of induced pluripotent stem cell-derived chondrocyte cell sheets

Introduction Autologous and allogeneic chondrocyte cell sheet transplantation has shown safety and potential efficacy for cartilage defects associated with knee osteoarthritis. Although polydactyly-derived chondrocyte (PDC) cell sheets have been used clinically for allogeneic transplantation, a scalable and reliable alternative cell source is needed. This study aimed to establish a proof-of-concept protocol for generating chondrocyte cell sheets from clinical-grade human induced pluripotent stem cells (iPS cells). Methods Cartilaginous tissue was generated from human iPS cells, and isolated chondrocytes were used to fabricate iPS cell-derived chondrocyte sheets. In Phase 1, sheets were produced in high-serum medium under normoxic, hypoxic, or hypoxic/high-seeding-density conditions and compared with PDC sheets using a three-dimensional in vitro model and xenogeneic orthotopic transplantation in an immunodeficient rat model. In Phase 2, sheets were produced in low-serum medium under hypoxic/high-seeding-density conditions and evaluated for cartilage-related gene expression, secreted factors, cell surface marker expression, and in vivo cartilage repair. Results In Phase 1, hypoxic/high-seeding-density culture enhanced in vitro chondrogenic properties. However, after transplantation, iPS cell-derived chondrocyte sheets formed fibrotic repair tissue, whereas PDC sheets generated hyaline-like cartilage. In Phase 2, low-serum culture increased expression of cartilage-related genes, including collagen type II alpha 1 (COL2A1) and SRY-box transcription factor 9 (SOX9), enhanced secretion of transforming growth factor beta 1 and melanoma inhibitory activity, and upregulated CD9, CD26, CD56, CD201, CD227, and GD2. Low-serum iPS cell-derived chondrocyte sheets regenerated hyaline cartilage at 4 weeks, and the repair tissue was maintained at 12 weeks without bone formation. Conclusions A robust fabrication protocol enabled human iPS cell-derived chondrocyte sheets to regenerate hyaline-like cartilage in vivo. These findings support their potential as a scalable cell source for clinical cartilage repair.

bioengineering↗

bioRxiv2026

Early origin of sugar sensing in jawed vertebrates

Sweet taste guides animals to consume carbohydrate-rich foods, and many different vertebrate groups, from fish to mammals, rely on sugar-rich fruits or nectar produced by flowering plants (angiosperms). Although the genes encoding T1R2-T1R3, the receptor pair that mammals use to sense sugars, exist in the genomes of many vertebrates, their functions are unclear--and whether sugar sensing arose once early in vertebrate evolution or independently in different lineages after angiosperms evolved is currently unknown. Here, we combined ancestral reconstruction and receptor functional profiling to examine the evolutionary history of T1R taste receptors--including recently-described non-canonical receptors--across all major vertebrate clades. Our results pinpoint the origin of sugar sensing to before the emergence of angiosperms and uncover a myriad of alternative T1R-based sugar-sensing mechanisms, suggesting multiple independent T1R trajectories and revealing uncharted sensory diversity across vertebrates.

evolutionary biology↗

bioRxiv2026

Vorapaxar and aripiprazole suppress hepatitis B virus replication through distinct host signaling pathways

Background & AimsCurrent nucleos(t)ide analogs efficiently suppress hepatitis B virus (HBV) replication but have limited effects on viral transcription from covalently closed circular DNA (cccDNA) and integrated HBV DNA. We aimed to identify clinically applicable compounds that directly inhibit HBV transcription by screening FDA-approved drugs. Approach & ResultsScreening of 1,470 FDA-approved compounds using an HBV enhancer I/X promoter reporter system identified vorapaxar and aripiprazole as potent inhibitors of viral promoter activity. Both compounds suppressed HBV replication in HBV-producing cells, HBV-infected HepG2-hNTCP cells, and primary human hepatocytes. Aripiprazole reduced hepatocyte nuclear factor 4 (HNF4) protein levels through an ERK/JNK-dependent pathway and inhibited HBV core promoter activity, whereas vorapaxar acted independently of HNF4. Both compounds suppressed enhancer I/X promoter activity through inhibition of STAT3 signaling. Vorapaxar inhibited PAR-1-mediated SRC, EGFR, and STAT3 activation, while aripiprazole suppressed SRC-STAT3 signaling independently of EGFR. PAR-1 activation enhanced HBV transcription, whereas PAR-1 knockdown reduced promoter activity and viral RNA expression. Both compounds also reduced HBV replication in human liver chimeric mice at clinically relevant exposure levels without apparent severe toxicity. ConclusionsVorapaxar and aripiprazole suppress HBV transcription and replication through distinct host signaling pathways. These findings identify PAR-1-STAT3 signaling as a previously unrecognized regulator of HBV transcription and suggest that host-targeting approaches may complement current therapies by suppressing viral gene expression from both cccDNA and integrated HBV DNA. Impact and implicationsCurrent nucleos(t)ide analogues effectively suppress HBV reverse transcription but have limited effects on viral transcription from cccDNA and integrated HBV DNA, highlighting the need for therapies targeting viral gene expression. We identify PAR-1- STAT3 signaling as a previously unrecognized regulator of HBV transcription and demonstrate that two clinically approved drugs, vorapaxar and aripiprazole, suppress HBV replication through distinct host signaling pathways. These findings are relevant to researchers developing host-targeting antivirals and to clinicians seeking complementary therapeutic strategies beyond current nucleos(t)ide analogue therapy. Although further clinical validation and combination studies are required, our results provide a rationale for repurposing approved drugs and for developing transcription-targeting therapies that may complement existing treatments for chronic hepatitis B. HighlightsO_LIVorapaxar and aripiprazole suppress HBV through distinct host pathways. C_LIO_LIBoth drugs inhibit HBV replication in vitro and in humanized liver mice. C_LIO_LIPAR-1 inhibition reduces HBV transcription by blocking SRC/EGFR/STAT3 signaling. C_LIO_LIPAR-1-STAT3 signaling is a novel regulator of HBV transcription. C_LIO_LIHost-targeting antiviral therapy complements current HBV treatment. C_LI

pharmacology and toxicology↗

bioRxiv2026

Impaired Motor Awareness of Balance Control is Associated with Postural Instability in Parkinson's Disease

BackgroundBalance instability is a major contributor to disability and falls in people with Parkinsons disease (PwP) and is often insufficiently explained by motor impairment alone. Altered awareness of motor control has been suggested to contribute to sensorimotor dysfunction in PwP, but its relationship with balance performance is poorly understood. ObjectiveTo determine whether awareness of balance control, assessed using a control detection task (CDT), differs between healthy controls (HC) and PwP, and whether CDT performance is associated with balance-related measures. MethodsHealthy older adults (n=20) and PwP (n=22) performed a standing version of the CDT based on center-of-pressure (COP) control, using a force plate. CDT accuracy was used as the primary outcome measure. Static balance during quiet standing was assessed using the COP trajectory length and rectangular area. Dynamic standing balance was assessed using the Index of Postural Stability (IPS). Group differences were examined by independent-samples t-tests. Correlations between CDT accuracy and balance measures were analyzed. ResultsThe PwP group showed significantly lower CDT accuracy. Higher CDT accuracy was associated with better static balance in the HC group and the combined sample, and with higher IPS primarily in the PwP group. ConclusionsMotor awareness during postural tasks is altered in PwP and is associated with balance control. These findings suggest that balance instability in Parkinsons disease may involve altered balance-related action-outcome monitoring in addition to motor dysfunction.

neuroscience↗

bioRxiv2026

Altered Motor Awareness in Parkinson's Disease with Progressive Micrographia

Micrographia, characterized by abnormally small handwriting, is a common motor symptom in Parkinsons disease (PD), and has been classified into consistent micrographia (CM) and progressive micrographia (PM), which may reflect different underlying mechanisms. However, the relative contributions of motor execution and sensorimotor processing to these subtypes remain unclear. In this study, forty-five people with Parkinsons disease (PwP) and twenty age-matched healthy controls (HCs) completed a handwriting task and a control detection task (CDT) assessing the ability to distinguish self-generated from externally generated movements. PwP were classified based on handwriting metrics as showing no micrographia, CM, and/or PM. CDT accuracy was significantly lower in PwP than in HCs (p < 0.01) and was particularly reduced in PwP with PM (p < 0.01). These findings indicate that PM is associated with impaired motor awareness, suggesting altered sensorimotor integration as a characteristic feature of this subtype.

neuroscience↗

bioRxiv2025

Generation of a HiBiT-expressing recombinant rat hepacivirus supporting both in vivo and in vitro infection

The lack of immuno-competent animal models of hepatitis C virus (HCV) infection has been an obstacle to vaccine development and research on immune responses. Hepacivirus ratti (Norway rat hepacivirus-1: NRHV1) is a virus closely related to HCV that specifically infects the liver and induces hepatocellular carcinoma in rats, making it a promising surrogate model for HCV. NRHV1 expressing a reporter gene serves as a powerful tool for analyzing the in vivo dynamics and pathogenicity mechanisms of NRHV1. In this study, we developed a reporter NRHV1 capable of infection and replication in both mice and cultured cells and established a platform for generating diverse reporter viruses. A reporter virus containing the HiBiT gene in the coding region of NS5A domain III was constructed using circular polymerase extension reaction (CPER). Infection with this reporter virus led to HiBiT activity in infected cells and the activity was correlated with the amount of intracellular viral RNA. In addition, this reporter virus established persistent infection in NOD-SCID mice and led to the generation of HiBiT activity in the livers of infected mice. Furthermore, reporter virus recovered from infected mice could infect and generate HiBiT activity in cultured cells. These results demonstrate that the reporter virus can infect hepatocytes in vivo and in vitro. This platform provides a versatile tool for in vitro quantitative antiviral screening and in vivo pathogenicity studies. Author summaryHepatitis C virus (HCV) infects millions of people and causes severe liver diseases, yet vaccine development has been hindered by the lack of practical small-animal models with intact immunity. Hepacivirus ratti (NRHV1), a close relative of HCV that naturally infects rats, is a promising HCV surrogate, but tools for monitoring NRHV1 infection dynamics have been limited. Here, we developed the first reporter NRHV1 by inserting a small luminescent HiBiT tag into a tolerable region of the NS5A protein. Using a CPER-based reverse genetics system, we generated a recombinant virus that efficiently infected cultured cells and established persistent infection in mice while retaining liver tropism. HiBiT activity closely reflected viral RNA levels, enabling the quantitative monitoring of infection and sensitive evaluation of antiviral drugs and neutralizing antibodies. This reporter NRHV1 system provides a versatile platform for studying hepacivirus pathogenesis and antiviral immunity and will support future efforts toward HCV vaccine development.

microbiology↗

bioRxiv2025

Structural basis of stereochemical promiscuity by an umami taste receptor ortholog, Tas1r1/Tas1r3 from pufferfish

Taste receptor type 1 (TAS1R), which consists of sweet and umami receptors in humans, senses nutrients (such as sugars and amino acids) with substrate specificity that is often broad and varies among animals and subtypes. However, the structural basis for achieving diverse specificities remains largely elusive. Here, we present the crystal structure of the ligand-binding domain (LBD) of Tas1r1/Tas1r3 heterodimer from pufferfish, an ortholog of the human umami taste receptor. The overall structure of Tas1r1/Tas1r3LBD resembles previously reported TAS1R structures, indicating a conserved core architecture within the family. Nevertheless, pufferfish Tas1r1/Tas1r3 was found to bind and respond to both L- and D-amino acids, even though TAS1Rs are considered to respond to either enantiomer. Structural and mutational analyses revealed that this non-rigorous stereochemical recognition is attributed to inter- subdomain interactions that latch the cleft containing the amino acid-binding site. These interactions prevent the cleft from fully opening, thereby stabilizing the active conformation, even if the ligand shares a different chirality. These results suggest that different substrate specificities in TAS1Rs can be acquired not only by the gain or loss of direct interactions with the substrate but also by the gain of intramolecular interactions, which alter the conformational equilibrium of the receptor.

biochemistry↗

bioRxiv2025

Compact Tape-Driven Sample Delivery System for Serial Femtosecond Crystallography

We developed a compact tape-drive with on-demand sample delivery (CoT) for time-resolved serial femtosecond crystallography (SFX) experiments that can deliver sample droplets and/or initiate reactions with a drop-on-drop strategy. Two disposable piezoelectric injectors are positioned in tandem along the tape to produce a queue of nanoliter-scale droplets. X-ray free-electron laser (XFEL) pulses arrive perpendicular to and pass through the broad face of the tape where the pulse is synchronized and aligned to the droplets and thereby enables very highly efficient SFX data collection. The tape transport speed and the delivery distance can be varied to control the mixing time from approximately 130 ms to tens of seconds. We conducted time-resolved SFX experiments utilizing a basic enzymatic reaction model of hen egg white lysozyme (HEWL) and N-acetyl-D-glucosamine (GlcNAc) to demonstrate the drop-on-drop capabilities of CoT, and the full binding process of GlcNAc to HEWL was observed at 1.3-9.7 s. SynopsisTape-driven liquid sample droplet delivery system for serial femtosecond crystallography

biophysics↗

bioRxiv2025

Probing the content of semantic representations in body-selective regions

The extrastriate body area (EBA) has been known to selectively respond to human body parts, but recent work suggests it may encode richer scene semantics. However, it remains unclear what aspects of natural scenes constitute the semantic representation in the EBA. Here we address this question by analyzing the relationship between object co-occurrence in natural scene captions and EBA responses predicted by caption-based encoding models. This revealed object category pairs associated with EBA activity, leading to the hypothesis that EBA encodes the speed of human body motion implied in scenes. A subsequent behavioral experiment and correlation analyses confirmed this, showing strong correlations between EBA responses and implied motion ratings. In addition, the representation of implied body motion extends into the fusiform body area (FBA). Variance partitioning further showed that while body-related features such as the number of people and body size also contributed, implied motion uniquely explained the largest portion of EBA and FBA responses. Overall, semantic representations in body-selective regions are jointly shaped by multiple body-related features, with implied motion as the primary contributor. Our co-occurrence-based approach, combined with brain-to-model mapping methods, offers a novel, interpretable framework for understanding high-level visual representations in natural scene perception.

neuroscience↗

bioRxiv2025

Ultra-parallel ribosome profiling platform with RNA-dependent RNA amplification

Translation regulation plays a pivotal role in the diversification of gene expression and the response to intra- and extracellular environmental cues. Ribosome profiling (or Ribo-Seq) serves as a sensitive, quantitative, comprehensive, and data-rich technique to survey ribosome traversal across the cellular transcriptome. However, due to the intricacy of library preparation, applications to low-input and a large number of samples have presented analytic challenges. Here, we developed the semi-automated platform of Ribo-Seq and Disome-Seq, which allowed us to assess the translation status from a vast collection of samples with reduced amounts in a plate format. Through an siRNA-mediated knockdown screen for ribosome-associated proteins, this technique identified factors that (i) mediate regulation via RNA elements such as the TOP motif, (ii) assist efficient ribosome recycling, (iii) support ribosome-associated quality control (RQC), (iv) enhance translation elongation across inhibitory G-quadruplex sequences, and (v) repress mitochondrial translation. The application to human-derived samples revealed that stop codon readthrough and mitochondrial translation deficiency are associated with severe symptoms in COVID-19. Our approach provides a versatile option to investigate the translatome in a highly parallel manner.

molecular biology↗

bioRxiv2025

Decoding menopause-induced tissue fibrosis using pan-tissue network inference

Menopause drives fibrotic remodeling and consequent tissue dysfunction across multiple organs, yet the tissue-conserved versus tissue-specific mechanisms underlying this phenomenon remain poorly defined. Here, we employed a network inference framework to uncover how menopause triggers coordinated shifts in intercellular signaling cascades that promote fibrosis. We leveraged publicly archived single-cell RNA-sequencing data from the liver, lung, pancreas, and skeletal muscle of ovariectomized and control mice. Given the central role of immune cells in orchestrating inflammation and fibrosis, we focused our analysis on immune cell populations. Using canonical markers of immune cells, we annotated major cell types and reconstructed cell-cell interaction networks to map transcriptional responses to hormonal shifts. Network analysis revealed pervasive reshaping of intercellular signaling common to all tissues evaluated in the setting of menopause. Within this immune-centered framework, we found that estrogen-responsive macrophages consistently function as major signaling hubs across all tissues evaluated, exhibiting extensive interactions with myofibroblasts--key drivers of extracellular matrix production and fibrotic remodeling. Notably, these shared signaling patterns were not detectable using conventional differential gene expression analysis, which revealed minimal overlap in gene-level responses in macrophages across tissues. In addition to conserved patterns, we identified tissue-specific interaction networks that reflect unique immune adaptations to hormonal loss. As an example, natural killer cells acted as a signaling hub in muscle-specific patterns, suggesting their direct contribution to menopausal skeletal muscle adaptation. Tissue-specific patterning was also evident in the liver, lung, and pancreas, where other immune cell types, such as CD8+ T cells and endothelial cells, functioned as prominent signaling hubs, indicating diverse remodeling of the immune microenvironment. The network approach introduced here represents a systems-level framework for mapping multicellular network rewiring following hormonal depletion and highlights conserved immune-stromal modules as potential therapeutic targets to prevent menopause-associated dysfunction.

systems biology↗

bioRxiv2025

Unsupervised feature computation-based feature selection robustly extracted resting-state functional connectivity patterns related to mental disorders

Research on biomarkers for predicting psychiatric disorders from resting-state functional connectivity (FC) is advancing. While the focus has primarily been on the discriminative performance of biomarkers by machine learning, identification of abnormal FCs in psychiatric disorders has often been treated as a secondary goal. However, it is crucial to investigate the effect size and robustness of the selected FCs because they can be used as potential targets of neurofeedback training or transcranial magnetic stimulation therapy. Here, we incorporated approximately 5,000 runs of resting-state functional magnetic resonance imaging from six datasets, including individuals with three different psychiatric disorders (major depressive disorder [MDD], schizophrenia [SCZ], and autism spectrum disorder [ASD]). We demonstrated that an unsupervised feature-computation-based feature selection method can robustly extract FCs related to psychiatric disorders compared to other conventional supervised feature selection methods. We found that our proposed method robustly extracted FCs with larger effect sizes from the validation dataset compared to different types of feature selection methods based on supervised learning for MDD (Cohens d = 0.40 vs. 0.25), SCZ (0.37 vs. 0.28), and ASD (0.17 vs. 0.16). We found 78, 69, and 81 essential FCs for MDD, SCZ, and ASD, respectively, and these FCs were mainly thalamic and motor network FCs. The current study showed that the unsupervised feature-computation-based feature selection method robustly identified abnormal FCs in psychiatric disorders consistently across datasets. The discovery of such robust FCs will contribute to understanding neural mechanisms as abnormal brain signatures in psychiatric disorders. Furthermore, this finding can aid in developing precise therapeutic interventions, such as neurofeedback training or transcranial magnetic stimulation therapy.

neuroscience↗

bioRxiv2025

Identification of claudin-3 as an entry factor for rat hepacivirus

Approximately 58 million people worldwide are believed to be infected with hepatitis C virus (HCV), a major causative agent of chronic liver diseases. Hepacivirus ratti strain rn-1, which was discovered from Rattus norvegicus (Norway rat) and designated Norway rat hepacivirus 1 (NRHV1), shares similar properties with HCV in terms of genetic homology, target cell tropism, pathogenicity and the immune response. In vivo infection systems for NRHV1 will help overcome the challenges in HCV research for vaccine development. However, the virological characteristics of NRHV1, such as the mechanisms of cell entry, remain largely unexplored, in part owing to a paucity of cell culture systems for NRHV1. Here, we identified the host factors that facilitate NRHV1 entry by profiling the gene expression of two cell lines with different susceptibilities to NRHV1 infection. NRHV1 employs rodent orthologues of HCV entry factors, including scavenger receptor class BI, CD81, and occludin, and utilizes claudin-3 (CLDN3) but not claudin-1. The expression of rat and mouse, but not human, CLDN3 facilitates the entry of NRHV1 into murine cell lines that are insusceptible to NRHV1 infection. The host-specific cell entry of CLDN3 is determined by two amino acid residues, Ile44 and Trp46, in extracellular loop 1. These findings suggest that some hepacivirus species share an HCV-like entry mechanism but show evidence of adaptive evolution of their virus-specific entry factors to host animals.

microbiology↗

bioRxiv2024

Neutrophil extracellular traps formation and deposition of fibrin and von Willebrand factor during human coronary atherogenesis

Background and aimsNeutrophil extracellular traps (NETs), fibrin, and the von Willebrand factor (VWF) are present in acute coronary thrombotic plaques. However, the presence and extent of NETs, fibrin, and VWF in early-to-unstable coronary atherosclerotic lesions remain unclear. This study aims to determine the presence and extent of neutrophils, NETs, fibrin, and VWF formation during human coronary atherogenesis. MethodsCoronary sections from autopsy patients with non-cardiac death (n=5, 37 sections) and ischemic heart diseases (n= 11, 65 sections) were classified by atherosclerosis classification: diffuse intimal thickening, pathological intimal thickening, fibrous cap atheroma, fibrocalcified plaque, thin-cap fibroatheroma, ruptured plaque, and intraplaque hemorrhage. We immunohistochemically assessed the expression of CD66b (neutrophils), citrullinated histone H3 (Cit-H3, a marker of NETs), fibrin, and VWF. ResultsNeutrophil and Cit-H3 expression were rarely observed, except in thin-cap fibroatheromas and ruptured plaques. Fibrin deposition was observed in pathological intimal thickening and necrotic cores of atheromas, and it was abundant in thin-cap fibroatheroma and ruptured plaques. VWF deposition was observed in the necrotic core of the atheromas and was abundant in ruptured plaques. In non-ruptured plaques, the immunopositive areas for Cit-H3 and fibrin were larger in hemorrhagic plaques than in non-hemorrhagic plaques. ConclusionsThese results suggest that NET formation is rare in stable coronary plaques, and fibrin formation begins in stable lesions and increases with plaque destabilization in the coronary artery. Intraplaque hemorrhage may promote NET formation and fibrin deposition in non-ruptured plaques. The abundance of neutrophilic infiltrates and VWF deposition may be a response to plaque rupture.

pathology↗

bioRxiv2024

HCV infection activates the proteasome via PA28γ acetylation and heptamerization to facilitate the degradation of RNF2, a catalytic component of polycomb repressive complex 1.

We previously reported that hepatitis C virus (HCV) infection or HCV core protein expression induces HOX gene expression by impairing histone H2A monoubiquitination via a proteasome-dependent reduction in the level of RNF2, a key catalytic component of polycomb repressive complex 1 (PRC1) (J. Virol, 2021, 95, e01784-20). In this study, we aimed to investigate the mechanism by which HCV infection accelerates RNF2 degradation. Yeast two-hybrid screening and an immunoprecipitation assay revealed that RNF2 is a PA28{gamma}-binding protein. The proteasome activator PA28{gamma} destabilized the RNF2 protein in a proteasome-dependent manner, since RNF2 degradation was impaired by PA28{gamma} knockout or MG132 treatment. HCV infection or core protein expression reduced the levels of RNF2 and histone H2A K119 monoubiquitination and induced the expression of HOX genes in the presence of PA28{gamma}, while PA28{gamma} knockout reversed these changes. Treatment with a lysine acetyltransferase inhibitor inhibited the acetylation of PA28{gamma} at K195 and the degradation of the RNF2 protein, while treatment with a lysine deacetylase inhibitor accelerated these events in a PA28{gamma}-dependent manner. RNF2 protein degradation was increased by expression of the acetylation mimetic PA28{gamma} mutant but not by expression of the acetylation-defective mutant or the proteasome activation-defective mutant. Furthermore, HCV infection or core protein expression facilitated the interaction between PA28{gamma} and the lysine acetyltransferase CBP/p300 and then accelerated PA28{gamma} acetylation and heptamerization to promote RNF2 degradation. These data suggest that HCV infection accelerates the acetylation-dependent heptamerization of PA28{gamma} to increase the proteasomal targeting of RNF2. IMPORTANCEHCV is a causative agent of HCV-related liver diseases, including hepatic steatosis, cirrhosis and hepatocellular carcinoma. PA28{gamma}, which, in heptameric form, activates the 20S core proteasome for the degradation of PA28{gamma}-binding proteins, is responsible for HCV-related liver diseases. HCV core protein expression or HCV infection accelerates RNF2 degradation, leading to the induction of HOX gene expression via a decrease in the level of H2Aub on HOX gene promoters. However, the mechanism of RNF2 degradation in HCV-infected cells has not been clarified. The data presented in this study suggest that PA28{gamma} acetylation and heptamerization are promoted by HCV infection or by core protein expression to activate the proteasome for the degradation of RNF2 and are responsible for HCV propagation. This study provides novel insights valuable for the development of therapies targeting both HCV propagation and HCV-related diseases.

microbiology↗

bioRxiv2024

Prediction of antidepressant treatment response with thalamo-somatomotor functional connectivity revealed by generalizable stratification of depressed patients

Major depressive disorder (MDD) is diagnosed based on symptoms and signs without relying on physical, biological, or cognitive tests. MDD patients exhibit a wide range of complex symptoms, and it is assumed that there are diverse underlying neurobiological backgrounds, possibly composed of several subtypes with relatively homogeneous biological features. Initiatives, including the Research Domain Criteria, emphasize the importance of biologically stratifying MDD patients into homogeneous subtypes using a data-driven approach while utilizing genetic, neuroscience, and cognitive information. If biomarkers can stratify MDD patients into biologically homogeneous subtypes at the first episode of depression, personalized precision medicine may be within our scope. Some pioneering studies have used resting-state functional brain connectivity (rs-FC) for stratification and predicted differential responses to various treatments for different subtypes. However, to our knowledge, little research has demonstrated reproducibility (i.e., generalizability) of stratification markers in independent validation cohorts. This issue may be due to inherent measurement and sampling biases in multi-site fMRI data, or overfitting of machine learning algorithms to discovery cohorts with small sample sizes, i.e., a lack of appropriate machine learning algorithms for generalizable stratification. To address this problem, we have constructed a multi-site, multi-disorder fMRI database with prospectively and retrospectively harmonized data from thousands of samples and proposed a hierarchical supervised/unsupervised learning strategy. In line with this strategy, our previous research first developed generalizable MDD diagnostic biomarkers using this fMRI database of MDD patients via supervised learning. The MDD diagnostic biomarker determines the importance of thousands to tens of thousands of rs-FCs across the whole brain for MDD diagnosis. In this study, we constructed stratification markers for MDD patients using unsupervised learning (Multiple co-clustering) with a subset of top-ranked rs-FCs in the MDD diagnostic biomarker. We developed a method to evaluate the clustering stability between two independent datasets as a generalization metric of stratification biomarkers. To discover stratification biomarkers with high stability across datasets, we utilized two multi-site datasets with substantial differences in data acquisition facilities and fMRI measurement protocols (Dataset-1: a dataset of 138 depressed patients obtained with a unified measurement protocol across three facilities; Dataset-2: a dataset of 181 depressed patients obtained with non-unified measurement protocols across four facilities, distinct from Dataset-1). Starting from several diagnostic biomarkers, we constructed some stratification markers and identified the stratification biomarker with the highest clustering stability between the two datasets. This stratification biomarker was based on several rs-FCs between the thalamus and the postcentral gyrus, and the MDD subgroups stratified by this biomarker showed significantly different treatment responsiveness to a selective serotonin reuptake inhibitor (SSRI). By narrowing down whole-brain rs-FCs using MDD diagnostic biomarkers and further dividing the rs-FCs using multiple co-clustering, the feature dimension was significantly reduced, thereby avoiding overfitting to the training data and successfully constructing stratification biomarkers that are highly stable between independent datasets, i.e., have generalizability. Furthermore, the correlation between MDD subgroups and antidepressant treatment response was demonstrated, suggesting the potential for achieving personalized precision medicine for MDD.

neuroscience↗