Biology subjects

Fu, W.

Publications and source records attributed to Fu, W..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

Multi-omics decipher the molecular mechanisms driving high-lipid production in an artificially-evolved Chlamydomonas mutant

Enhancing lipid accumulation in microalgae is critical for commercial viability but often compromises growth. We previously identified an artificially evolved Chlamydomonas reinhardtii mutant (H5) that retains wild-type growth (CC-503) while producing significantly more lipids. Here, we present multi-omic analyses that elucidate the molecular basis of this phenotype. Whole-genome sequencing revealed over 3,000 mutations in H5, including 45 in protein-coding genes (e.g., phosphofructokinase, acyl-carrier protein, glycerol kinase). Six corresponding CLiP insertion mutants also showed elevated lipid content. Transcriptomics revealed upregulation of key genes for glycolysis, nutrient uptake, and proliferation (e.g., pyruvate carboxylase, carbonic anhydrase) under nutrient-replete conditions. Metabolomics identified a striking increase in malonate, a metabolite that supports fatty acid synthesis and cell proliferation. Epigenomic profiling showed hypomethylation in triacylglycerol (TAG) biosynthesis genes and hypermethylation in energy balance regulators. Together, these data suggest that accelerated glycolysis and streamlined metabolism drive lipid accumulation in H5 without compromising growth. Our findings provide a blueprint for engineering high-lipid microalgal strains for industrial applications. HIGHLIGHTSO_LIHigh-lipid Chlamydomonas mutant (H5) exhibits cancer-like metabolism: pseudo-hypoxia and nutrient deprivation response C_LIO_LIMulti-omics reveals 45 high-impact mutations synergistically enhance lipid production in H5 C_LIO_LISix CLiP mutants of H5-disrupted genes showed significantly increased lipid content C_LIO_LIMalonate levels increased 10-fold in H5, indicating altered mitochondrial function C_LIO_LIH5 upregulates glycolytic genes while maintaining wild-type growth rates C_LIO_LITranscriptomes from H5 and CC-503 converge after nitrogen deprivation despite replete-state differences C_LIO_LIH5 shows altered lipid composition with increased TAG diversity, decreased DAGs C_LIO_LIEpigenomic profiling reveals 14,720 differentially methylated transcribed regions in H5 C_LI

genomics↗

bioRxiv2025

Time-Resolved Transcriptomics Reveal Spliceosomal Disruption and Senescence Pathways in Crocin-Treated Hepatocellular Carcinoma Cells

Saffron-derived crocin exhibits anti-cancer properties, but the pathways underlying its effects remain incompletely characterized. Here, we utilized a high-dose perturbation strategy (1-2 mM crocin) to probe maximal pathway engagement in HepG2 hepatocellular carcinoma cells via time-series transcriptomics. We treated cells for 2, 6, 12, and 24 h and analyzed transcriptomic and splicing profiles at each timepoint. We identified 7400-12,100 differentially expressed genes (DEGs) per condition, with the higher dose (CR2) producing more total DEGs but the lower dose (CR1) demonstrating differential pathway prioritization. The spliceosome pathway ranked first among downregulated pathways for CR1 across multiple timepoints (false discovery rate, FDR p = 10-21 to 10-36) but only fourth for CR2, suggesting dose-dependent differences in pathway prioritization. Differential splicing analysis revealed functional spliceosome disruption, with 2000-2600 significant exon skipping events per condition and aberrant splicing of spliceosome components including HNRNPH1 (change in percent spliced in, dPSI = -0.78 to -0.89). Additionally, 66 genes implicated in non-alcoholic fatty liver disease were downregulated at 24 h (FDR p = 8x10-8). Crocin exposure consistently downregulated spliceosomal machinery genes while upregulating senescence and autophagy pathways. These findings identify spliceosome components and RNA processing machinery as crocin-sensitive pathways.

cancer biology↗

bioRxiv2025

Genetic vitamin B6 deficiency and alcohol interaction in behavior and metabolism

Alcohol abuse is a leading cause of preventable deaths, affecting brain function and metabolism, including GABA transmission and vitamin B6 (VB6) levels. However, the interaction between genetic VB6 deficiency and alcohol consumption remains unexplored. Here, we utilized Drosophila models with mutations in pyridox(am)ine-5-phosphate oxidase (PNPO), a key enzyme in VB6 metabolism, to examine this interaction at behavioral and biochemical levels. Our findings demonstrate that PNPO deficiency reduces alcohol aversion, increases consumption, and alters locomotor behavior. Biochemically, PNPO deficiency and alcohol exposure converge on amino acid metabolism, elevating inhibitory neurotransmitters GABA and glycine. Moreover, both PNPO deficiency and alcohol exposure lead to lethality with significant interaction, which can be rescued by VB6 supplementation. These results highlight a functional interaction between genetic VB6 deficiency and alcohol, suggesting potential therapeutic strategies for alcohol-related behaviors.

animal behavior and cognition↗

bioRxiv2025

sCCIgen: A high-fidelity spatially resolved transcriptomics data simulator for cell-cell interaction studies.

Spatially resolved transcriptomics (SRT) provides an invaluable avenue for examining cell-cell interactions within native tissue environments. The development and evaluation of analytical tools for SRT data necessitate tools for generating synthetic datasets with known ground truth of cell-cell interaction induced features. To address this gap, we introduce sCCIgen, a novel real-data-based simulator tailored to generate high-fidelity SRT data with a focus on cell-cell interactions. sCCIgen preserves transcriptomic and spatial characteristics in SRT data, while comprehensively models various cell-cell interaction features, including cell colocalization, spatial dependence among gene expressions, and gene-gene interactions between nearby cells. We implemented sCCIgen as an interactive, easy-to-use, realistic, reproducible, and well-documented tool for studying cellular interactions and spatial biology.

bioinformatics↗

bioRxiv2024

Protein CREATE enables closed-loop design of de novo synthetic protein binders

Proteins have proven to be useful agents in a variety of fields, from serving as potent therapeutics to enabling complex catalysis for chemical manufacture. However, they remain difficult to design and are instead typically selected for using extensive screens or directed evolution. Recent developments in protein large language models have enabled fast generation of diverse protein sequences in unexplored regions of protein space predicted to fold into varied structures, bind relevant targets, and catalyze novel reactions. Nevertheless, we lack methods to characterize these proteins experimentally at scale and update generative models based on those results. We describe Protein CREATE (Computational Redesign via an Experiment-Augmented Training Engine), an integrated computational and experimental pipeline that incorporates an experimental workflow leveraging next generation sequencing and phage display with single-molecule readouts to collect vast amounts of quantitative binding data for updating protein large language models. We use Protein CREATE to generate and assay thousands of designed binders to IL-7 receptor and insulin receptor with parallel positive and negative selections to identify on-target binders. We discover not only individual novel binders but also features of ligand-receptor binding, including preservation of the IL7R - ligand hydrophobic interface specifically and existence of multiple approaches to contact the insulin receptor. We also demonstrate the importance of structural features, such as the lack of unpaired cysteine residues, toward design fidelity and find computational pre-screening metrics, such as interchain predicted TM scoring (iPTM), while useful, are imperfect predictors as they neither guarantee experimental binding nor rule it out. We use the data collected from Protein CREATE to score designs from the initial generative models. Globally, Protein CREATE will power future closed-loop design-build-test cycles to enable fine-grained design of protein binders.

bioengineering↗

bioRxiv2024

Dual roles of IQCG, a novel microtubule nucleation factor rapidly evolving in humans

The centrosome serves as the main microtubule-organizing structure, playing crucial roles in animal development. Uncovering new components and elucidating their functions helps to understand the regulation of cell maintenance and division by the centrosome. In this study, through a combination of genetic analyses and cell biological characterizations, we identify IQ Motif Containing G (IQCG) as a novel microtubule nucleation factor with a dual role involved in both centrosomal microtubule organization and mitotic spindle formation. IQCG interacts with GSK3{beta} via its N2 region, enhancing its centrosomal accumulation in interphase; subsequently, IQCG disperses into the spindle to promote microtubule generation during mitosis and ensure robust cell division. Furthermore, our analyses indicate that the IQCG gene has undergone accelerated evolution within the human lineage, with positive selection acting on the variable N2 region. This adaptation may confer advantages to human cells by augmenting central regulatory control over cellular activities through the centrosome. Our findings offer novel insights into the functional mechanisms and evolutionary significance of the human centrosome associated with human evolution. Summary blurbThe cellular functions of the novel microtubule nucleation factor IQCG, which enhances centrosomal microtubule organization and cell division robustness, are implicated in human evolution.

cell biology↗

bioRxiv2024

Dermatopontin-expressing fibroblasts mediate an essential skin macrophage niche

Fibroblasts are present in all tissues and are crucial for maintaining tissue homeostasis. We previously identified fibroblasts marked by Dermatopontin (Dpt) but their role in supporting macrophage homeostasis remains unclear. Here, we generated novel mesenchymal lineage-restricted genetic tools to target Dpt expressing fibroblasts and elucidate their role in supporting skin macrophages. Transcriptional profiling, flow cytometry, and in situ hybridization uncovered two broad populations of F4/80-expressing skin macrophages, denoted by high expression of CD206 and CD64 (CD206hiCD64+), or CD11c. Targeted depletion of Dpt+ fibroblasts resulted in a profound loss of both macrophage populations. Conditional deletion of colony-stimulating factor-1 (Csf1) in Dpt+ fibroblasts revealed that CD206hiCD64+, and not CD11c+, macrophages are acutely dependent on fibroblast-derived Csf1, consistent with their higher expression of the Csf1 receptor. Following Csf1 deletion in Dpt+ fibroblasts, loss of CD206hiCD64+ macrophages were observed across the dermis, dermal white adipose tissue (dWAT), and adventitia, accompanied by a modest upregulation of fibroblast-related and extracellular matrix (ECM) genes and structural changes to the skin. Alterations to the skin network upon loss of fibroblast-derived Csf1 and CD206hiCD64+ macrophages led to a significant delay in wound healing. We also demonstrate the CSF1-CSF1R signaling pathway is functionally relevant in human systemic sclerosis, or scleroderma, as elevated levels of CSF1 produced by fibroblasts and an increased abundance of macrophages both correlate with disease severity. Our findings demonstrate the role of Dpt+ fibroblasts in regulating a Csf1-dependent macrophage niche in skin and orchestrating responses in injury and disease.

immunology↗

bioRxiv2024

CLR_ESP: Improved enzyme-substrate pair prediction using contrastive learning

To reduce the cost of experimental characterization of the potential substrates for enzymes, machine learning prediction model offers an alternative solution. Pretrained language models, as powerful approaches for protein and molecule representation, have been employed in the development of enzyme-substrate prediction models, achieving promising performance. In addition to continuing improvements in language models, effectively fusing encoders to handle multimodal prediction tasks is critical for further enhancing model performance using available representation methods. Here, we present FusionESP, a multimodal architecture that integrates protein and chemistry language models with a newly designed contrastive learning strategy for predicting enzyme-substrate pairs. Our best model achieved state-of-the-art performance with an accuracy of 94.77% on independent test data and exhibited better generalization capacity while requiring fewer computational resources and training data, compared to previous studies of finetuned encoder or employing more encoders. It also confirmed our hypothesis that embeddings of positive pairs are closer to each other in high-dimension space, while negative pairs exhibit the opposite trend. The proposed architecture is expected to be further applied to enhance performance in additional multimodality prediction tasks in biology. A user-friendly web server of FusionESP is established and freely accessible at https://rqkjkgpsyu.us-east-1.awsapprunner.com/.

bioinformatics↗

bioRxiv2024

YTHDF1 mediates translational control by m6A mRNA methylation in adaptation to environmental challenges

Animals adapt to environmental challenges with long-term changes at the behavioral, circuit, cellular, and synaptic levels which often require new protein synthesis. The discovery of reversible N6-methyladenosine (m6A) modifications of mRNA has revealed an important layer of post-transcriptional regulation which affects almost every phase of mRNA metabolism and therefore translational control. Many in vitro and in vivo studies have demonstrated the significant role of m6A in cell differentiation and survival, but its role in adult neurons is understudied. We used cell-type specific gene deletion of Mettl14, which encodes one of the subunits of the m6A methyltransferase, and Ythdf1, which encodes one of the cytoplasmic m6A reader proteins, in dopamine D1 receptor expressing or D2 receptor expressing neurons. Mettl14 or Ythdf1 deficiency blunted responses to environmental challenges at the behavioral, cellular, and molecular levels. In three different behavioral paradigms, gene deletion of either Mettl14 or Ythdf1 in D1 neurons impaired D1-dependent learning, whereas gene deletion of either Mettl14 or Ythdf1 in D2 neurons impaired D2-dependent learning. At the cellular level, modulation of D1 and D2 neuron firing in response to changes in environments was blunted in all three behavioral paradigms in mutant mice. Ythdf1 deletion resembled impairment caused by Mettl14 deletion in a cell type-specific manner, suggesting YTHDF1 is the main mediator of the functional consequences of m6A mRNA methylation in the striatum. At the molecular level, while striatal neurons in control mice responded to elevated cAMP by increasing de novo protein synthesis, striatal neurons in Ythdf1 knockout mice didnt. Finally, boosting dopamine release by cocaine drastically increased YTHDF1 binding to many mRNA targets in the striatum, especially those that encode structural proteins, suggesting the initiation of long-term neuronal and/or synaptic structural changes. While the m6A-YTHDF1 pathway has similar functional significance at cellular level, its cell type specific deficiency in D1 and D2 neurons often resulted in contrasting behavioral phenotypes, allowing us to cleanly dissociate the opposing yet cooperative roles of D1 and D2 neurons.

neuroscience↗

bioRxiv2024

Exploring potential targets for quercetin treatment of colorectal cancer through network pharmacology and molecular docking technology

ObjectiveTo explore the potential targets of quercetin in the treatment of colorectal cancer through network pharmacology and molecular docking technology. MethodDownload the 3D structure of quercetin from Pubchem database, use PharmaMapper database for reverse docking, and screen protein targets based on zscore; GEO database screening for colorectal cancer datasets and screening for differentially expressed genes; Screening common genes for protein targets and differentially expressed genes using Wayne diagrams; Use DAVID database for GO and KEGG analysis. Use ChemDraw, 20.0 AutoDock, and Pymol for molecular docking. ResultThe results showed that 24 common genes and 13 signaling pathways were identified from the reverse docking data of quercetin and the GSE33113 gene chip data of colorectal cancer; Molecular docking results showed that quercetin showed good binding energy with 1ykc, 1k3y, 1kbq, 2bkz, 1xo2, 1og5, 2bsm. ConclusionQuercetin may exert its therapeutic effect on colorectal cancer through a multi target and multi channel mechanism.

pharmacology and toxicology↗

bioRxiv2024

Specifying the orthographic prediction error for a better understanding of efficient visual word recognition in humans and machines

Efficient visual word recognition presumably relies on orthographic prediction error (oPE) representations. Based on a transparent neurocognitive computational model rooted in the principles of the predictive coding framework, we postulated that readers optimize their percept by removing redundant visual signals, allowing them to focus on the informative aspects of the sensory input (i.e., the oPE). Here, we explore alternative oPE implementations, testing whether increased precision by assuming all-or-nothing signaling and more realistic word lexicons results in adequate representations underlying efficient word recognition. We used behavioral and electrophysiological data (i.e., EEG) for model evaluation. More precise oPE representations (i.e., implementing a binary signaling and a frequency-sorted lexicon with the 500 most common five-letter words) explained variance in behavioral responses and electrophysiological data 300 ms after stimulus onset best. The original less-precise oPE representation still best explains early brain activation. This pattern suggests a dynamic adaption of represented visual-orthographic information, where initial graded prediction errors convert into binary representations, allowing accurate retrieval of word meaning. These results offer a neuro-cognitive plausible account of efficient word recognition, emphasizing visual-orthographic information in the form of prediction error representations central to the transition from perceptual processing to the access of word meaning.

neuroscience↗

bioRxiv2024

Intervertebral disc cells from human back pain subjects exhibit TNFR1-mediated senescence and lack TNFR2-modulated repair capacity

Poor intervertebral disc (IVD) healing causes IVD degeneration (IVDD) and progression to herniation and back pain. This study identified distinct roles of TNF-receptors (TNFRs) in contributing to poor healing in painful IVDD. We first isolated IVDD tissue of back pain subjects and determined the complex pro-inflammatory mixture contained many chemokines for recruiting inflammatory cells. Single-cell RNA-sequencing of human IVDD tissues revealed these pro- inflammatory cytokines were dominantly expressed by a small macrophage-population. Human annulus fibrosus (hAF) cells treated with IVDD-conditioned media (CM) underwent senescence with greatly reduced metabolic rates and limited inflammatory responses. TNFR1 inhibition partially restored hAF cell metabolism sufficiently to enable a robust chemokine and cytokine response to CM. We showed that the pro-reparative TNFR2 was very limited on hIVD cell membranes so that TNFR2 inhibition with blocking antibodies or activation using Atsttrin had no effect on hAF cells with CM challenge. However, TNFR2 was expressed in high levels on macrophages identified in scRNA-seq analyses, suggesting their role in repair responses. Results therefore point to therapeutic strategies for painful IVDD involving immunomodulation of TNFR1 signaling in IVD cells to enhance metabolism and enable a more robust inflammatory response including recruitment or delivery of TNFR2 expressing immune cells to enhance IVD repair. SUMMARY STATEMENTTNFR1 signaling drives cells towards senesce and muted inflammatory response in painful intervertebral disc degeneration, while limited TNFR2 signaling may limit disc cell repair responses.

bioengineering↗

bioRxiv2024

Neurotensin-Neurotensin Receptor 2 signaling in adipocytes regulates food intake through ceramide metabolism

Neurotensin (NTS) is a secretory peptide produced by the lymphatic endothelial cells (LEC). Our previous study revealed that NTS suppressed the activity of brown adipose tissue via the interactions with NTSR2. In the current study, we found that the depletion of Ntsr2 in the white adipocytes upregulated food intake, while the local treatment of NTS suppressed the food intake. Mechanistic study revealed that the suppression of NTS-NTSR2 signaling enhanced the phosphorylation of ceramide synthetase 2 (CerS2), increased the abundance of its products ceramide C20-C24 and downregulated the production of GDF15 in the white adipose tissues, which was responsible for the elevation of food intake. With four populations of different age and ethnic background, we discovered a potential causal and positive correlation between ceramide C20-24 and food intake in human. Our study identified that NTS-NTSR2 signaling can perform the neurological regulation via controlling the production of ceramide in the white adipocytes.

physiology↗

bioRxiv2024

WRKY1 confers resistance to powdery mildew by accelerating SAR and preventing over-immunity in apple.

Powdery mildew is one of the most serious diseases in apple production. SAR has a broad-spectrum immunity in plants against pathogen. Plants activate SAR against pathogen invasion and also prevent over-immunity. The relevant mechanism is still unknown in apple. In this study, we isolated and identified powdery mildew pathogen from the field and preserved them on the apple tissue culture seedlings. We performed DAP-seq of powdery mildew-inducible WRKY40. WRKY40 positively regulates NPR3like by directly binding to the W-box element of its promoter. NPR3like represses the expression of the PR1 gene in the presence of SA by competing with TGA2 for binding to NPR1. WRKY1 positively regulates WRKY40 by directly binding to the dual W-box element of its promoter, while WRKY1 positively regulates NPR3like by directly binding to the W-box element of its promoter. The expression trends of WRKY1, WRKY40, and NPR3like were basically the same as that of PR1 within 24 h after powdery mildew and SA treatments. Besides, WRKY1 increased SA content by positively regulating EPS1. After inoculation with powdery mildew, the up-regulation of PR1 in RNAi-silenced plants of WRKY1 was more slowly compared with the wild type, and the number of spores and mycelium increased significantly. In summary, we established a new model of NPR3like inhibition of NPR1 activity positively regulated by the WRKY1-WRKY40 module and found that the WRKY1-EPS1 module accelerated the up-regulation of PR1 by increasing the SA content. Finally, we elucidated WRKY1 confers resistance to powdery mildew by accelerating SAR and preventing over-immunity in apple.

molecular biology↗

bioRxiv2023

A wave of minor de novo DNA methylation initiates in mouse 8-cell embryos and co-regulates imprinted X- chromosome inactivation

DNA methylation is extensively reprogrammed during early stage of mammalian development and is essential for normal embryogenesis. It is well established that mouse embryos acquire genome-wide DNA methylation during implantation, referred to as de novo DNA methylation, from globally hypomethylated blastocysts. However, the fact that the main de novo DNA methyltransferase 3B (DNMT3B) is initially expressed as early as the 8-cell stage, contradicts the current knowledge about timing of initiation of de novo DNA methylation. Here, we reported that a previously overlooked minor wave of de novo DNA methylation initially occurs during the transition from the 8-cell to blastocyst stage, before the well-known large-scale de novo DNA methylation during implantation. Functional analyses indicated that minor de novo DNA methylation regulates proliferation, lineage differentiation and metabolic homeostasis of preimplantation embryos, and is critical for embryonic developmental potential and pregnancy outcomes. Furthermore, bioinformatic and functional analyses indicated that minor de novo DNA methylation preferentially occurs on the X chromosome and co-regulates imprinted X-chromosome inactivation via the interaction between DNMT3B and polycomb repressive complexes 2 core components during blastocyst formation. Thus, our study updates the current knowledge of embryonic de novo DNA methylation, thereby providing a novel insight of early embryonic epigenetic reprogramming. Summary statementA minor wave of de novo DNA methylation has been initiated prior to blastocyst formation, but not during the implantation period, and co-regulates imprinted X-chromosome inactivation.

developmental biology↗

bioRxiv2023

Structure and engineering of miniature Acidibacillus sulfuroxidans Cas12f1

The miniature CRISPR-Cas12f nucleases allow for efficient delivery via cargo-size-limited adeno-associated virus delivery vehicles, thereby showing promising potential for in vivo therapeutic applications. Acidibacillus sulfuroxidans Cas12f1 (AsCas12f1, 422 amino acids) is the most compact Cas12f nuclease identified to date, showing a moderate level of genome-editing activity in human cells compared to Cas9 and Cas12a. Understanding the mechanisms of why such a compact nuclease is active for genome editing would facilitate its rational engineering. Here, we report the cryo-EM structure of the AsCas12f1-sgRNA-dsDNA ternary complex, and reveal that AsCas12f1 functions as an asymmetric dimer for single-guide RNA (sgRNA) binding and DNA targeting. The detailed mechanisms for dimer formation, PAM recognition, and sgRNA accommodation are elucidated. Leading by the structural knowledge, we extensively engineer the AsCas12f1 nuclease and its corresponding sgRNA, resulting in an evolved AsCas12f1-sgRNA combination with drastically enhanced genome editing activity in human cells. These results provide further understanding of compact CRISPR systems and expand the mini CRISPR toolbox for therapeutic applications.

molecular biology↗

bioRxiv2023

Zero-shot learning enables instant denoising and super-resolution in optical fluorescence microscopy

Computational super-resolution (SR) methods, including conventional analytical algorithms and deep learning models, have substantially improved optical microscopy. Among them, supervised deep neural networks have demonstrated outstanding SR performance, however, demanding abundant high-quality training data, which are laborious and even impractical to acquire due to the high dynamics of living cells. Here, we develop zero-shot deconvolution networks (ZS-DeconvNet) that instantly enhance the resolution of microscope images by more than 1.5-fold over the diffraction limit with 10-fold lower fluorescence than ordinary SR imaging conditions in an unsupervised manner without the need for either ground truths or additional data acquisition. We demonstrate the versatile applicability of ZS-DeconvNet on multiple imaging modalities, including total internal reflection fluorescence microscopy, three-dimensional (3D) wide-field microscopy, confocal microscopy, lattice light-sheet microscopy, and multimodal structured illumination microscopy (SIM), which enables multi-color, long-term, super-resolution 2D/3D imaging of subcellular bioprocesses from mitotic single cells to multicellular embryos of mouse and C. elegans.

bioengineering↗

bioRxiv2023

Gaudichaudione H inhibits Herpes Simplex Virus-1 replication by regulating cellular nuclear factor-κB in an interferon-γ-independent manner

The highly prevalent herpes simplex virus type 1 (HSV-1) causes keratoconjunctivitis and encephalitis. Viral DNA polymerase-inhibiting nucleoside analogs (such as acyclovir) are standard treatment agents against HSV infections but are limited by severe drug resistance issues. Thus, new antiviral agents with novel targets are urgently needed. Earlier, we investigated the anti-cancer, anti-inflammatory, and antibacterial bioactivities of Garcinia sp. Here, we report that non-cytotoxic concentrations (< 500 nM) of Gaudichaudione H (GH, isolated from Garcinia oligantha Merr.) potently inhibits HSV-1 replication in vitro without affecting viral entry or attachment. GH inhibits the expression of the viral proteins ICP0, ICP4, and ICP27 without affecting their mRNA levels. In Vero cells, GH enhanced STAT1 and 3 phosphorylation, which occurs downstream to interferon (IFN)-{gamma} activation during viral infections. However, pharmacological/genetic inhibition of IFN-{gamma} failed to suppress the GH-mediated inhibition of HSV-1 replication, indicating that GH exerts antiviral effects independent of IFN. Further mechanistic studies suggest that GH inhibits HSV-1 replication, at least partially by inhibiting cellular NF-{kappa}B activation. Moreover, GH prolonged the survival rate of KOS-infected mice by 25% (n = 5). In conclusion, GH treatment inhibits HSV-1 replication both in vitro and in vivo; therefore, it can be developed as an antiviral. ImportanceVery few therapeutic drug options are available to treat herpes simplex virus-1/2 which cause myriad debilitating diseases. We screened eight Garcinia compounds and found Gaudichaudione H was the most effective compound at non-cytotoxic concentrations. Further mechanism study illustrates that GH inhibits HSV-1 replication, at least partially by inhibiting cellular NF-{kappa}B activation. Natural compound is a promising resource of new antiviral agents with different targets that has ability to treat resistant viral strains.

cell biology↗