Biology subjects

Hu, Z.

Publications and source records attributed to Hu, Z..

At least 181 records · Page 10Linked to original sources

bioRxiv2023

Unbiased Complete Estimation of Chloroplast Number in Plant Cells Using Deep Learning Methods

Chloroplasts are essential organelles in plants that are involved in plant development and photosynthesis. Accurate quantification of chloroplast numbers is important for understanding the status and type of plant cells, as well as assessing photosynthetic potential and efficiency. Traditional methods of counting chloroplasts using microscopy are time-consuming and face challenges such as the possibility of missing out-of-focus samples or double counting when adjusting the focal position. Here, we developed an innovative approach called Detecting- and-Counting-chloroplasts (D&Cchl) for automated detection and counting of chloroplasts. This approach utilizes a deep-learning-based object detection algorithm called You-Only-Look-Once (YOLO), along with the Intersection Over Union (IOU) strategy. The application of D&Cchl has shown excellent performance in accurately identifying and quantifying chloroplasts. This holds true when applied to both a single image and a three-dimensional (3D) structure composed of a series of images. Furthermore, by integrating Cellpose, a cell-segmentation tool, we were able to successfully perform single-cell 3D chloroplast counting. Compared to manual counting methods, this approach improved the accuracy of detection and counting to over 95%. Together, our work not only provides an efficient and reliable tool for accurately analyzing the status of chloroplasts, enhancing our understanding of plant photosynthetic cells and growth characteristics, but also makes a significant contribution to the convergence of botany and deep learning. One-sentence summaryThis deep learning-based approach enables the accurate complete detection and counting of chloroplasts in 3D single cells using microscopic image stacks, and showcases a successful example of utilizing deep learning methods to analyze subcellular spatial information in plant cells. The authors responsible for distribution of materials integral to the findings presented in this article in accordance with the policy described in the Instructions for Authors (https://academic.oup.com/plcell/) is: Zhao Dong (dongzhao@hebeu.edu.cn), Shaokai Yang, (shaokai1@ualberta.ca), Ningjing Liu (liuningjing1@yeah.net), and Qiong Zhao (qzhao@bio.ecnu.edu.cn).

cell biology↗

bioRxiv2023

Human Induced Pluripotent Stem Cell based Hepatic-Modeling of Lipid metabolism associated TM6SF2 E167K variant

BACKGROUND AND AIMSTM6SF2 rs58542926 (E167K) is associated with an increase in the prevalence of Metabolic Disfunction-Associated Steatotic Liver Disease (MASLD). Despite all the investigation related to the role of this variant in lipid metabolism, conflicting results in mouse studies underscore the importance of creating a human model for understanding the TM6SF2 mechanism. Therefore, the aim of this study is to generate a reliable human in vitro model that mimic the effects of the TM6SF2 E167K mutation and can be used for future mechanism studies. APPROACH AND RESULTSWe performed gene editing on human-induced pluripotent stem cells (iPSC) derived from a healthy individual to obtain the cells carrying the TM6SF2 E167K mutation. After hepatic differentiation, a decrease in TM6SF2 protein expression was observed in the mutated-induced hepatocyte. An increase in intracellular lipid droplets and a decrease in the efflux of cholesterol and ApoB100 were also observed. Transcriptomics analysis showed up-regulation of genes related to the transport, flux, and oxidation of lipids, fatty acids, and cholesterol in TM6SF2 E167K cells. Additionally, signs of cellular stress were observed in the ER and mitochondria. CONCLUSIONSOur findings indicate that induced hepatocytes generated from iPSC carrying the TM6SF2 E167K recapitulate the effects observed in human hepatocytes from individuals with the TM6SF2 mutation. This study characterizes an in vitro model that can be used as a platform to help in the identification of potential clinical targets and therapies and to understand the mechanism by which the TM6SF2 E167K variant leads to vulnerability to MASLD.

cell biology↗

bioRxiv2023

An ancient transcription activator is required for the multiciliogenesis program

Multiciliogenesis is an evolutionarily conserved process required a unique transcriptional program. The mechanisms governing multiciliogenesis are incompletely understood. Here we show that an ancient transcription activator, Edf1, is essential for the multiciliogenesis program. Mice lacking Edf1 exhibit postnatal hydrocephalus and delayed multiciliated cells (MCCs) differentiation. Functional studies reveal that MCCs in Edf1-/- mice have defects in tissue-level polarity and reduced motility. These defects result in abnormal cerebrospinal fluid (CSF) dynamics in vivo, potentially contributing to the development of hydrocephalus. Intriguingly, we found that the expression of pivotal ciliary transcription factors was decreased in Edf1-/- mice. Collectively, our data suggest that Edf1 modulates the multiciliogenesis by regulating the transcription of important ciliary transcription factors required for ciliary gene expression.

cell biology↗

bioRxiv2023

Syncytia Formation Promotes Virus Resistance to Interferon and Neutralizing Antibodies

SARS-CoV-2, like many viruses, generates syncytia but the role of syncytia formation in viral evolution remains unknown. Using SARS-CoV-2 and SARS-CoV-2 Spike (S) replacement vesicular stomatitis (VSV), we show that S-mediated syncytia impair the antiviral effects of interferons in cultured cells, human lung cell cultures, and hACE2 transgenic mice. Amino acid substitutions that modulate syncytia formation in Delta- and Omicron-encoded S have parallel effects on viral interferon resistance. S-mediated syncytia compromise antibody-mediated virus neutralization in cultured cells. We recapitulate interferon and neutralizing antibody resistance in syncytia generated by the orthoreovirus p14 fusion-associated small transmembrane (FAST) protein in VSV, influenza virus, and seasonal coronavirus OC43 infections. These findings explain selection of SARS-CoV-2 fusogenic variants in humans and, more generally, the evolution of fusogenic viruses driven by adaptive and innate immunity.

microbiology↗

bioRxiv2023

Nuclear cytoophidia assembly represses transcriptional activity to control skeletal development and homeostasis

Compartmentation via filamentation is an evolutionarily conserved subcellular structure that fine-tunes the inherent activity of proteins. Cytoophidia represent a typical class of filamentous structures controlling enzymatic activities. Despite eukaryotic cells containing both cytoplasmic cytoophidia and nuclear cytoophidia, the physiological significance of nuclear cytoophidia is largely unknown. Here we show that nuclear filamentation inhibits the transcriptional activity of Impdh2 required for limb formation and bone resorption. Impdh2 deletion in mouse limb mesenchymal progenitors causes severe skeletal dysplasia by impairing endochondral ossification and chondrocyte differentiation. Additionally, Impdh2 deficiency in myeloid lineages leads to an increased bone mass via impeding osteoclast differentiation. Furthermore, Impdh2 regulates osteoclastic mitochondrial biogenesis and function. We propose that the nuclear compartmentalization of Impdh2 regulates the transcriptional activity during skeletal development and homeostasis.

cell biology↗

bioRxiv2023

Well-tempered metadynamics calculations of free energy surfaces of benzothiadiazine derivatives in aqueous solution

KRAS oncogenes are the largest family of mutated RAS isoforms, participating in about 30% of all cancers. Due to their paramount medical importance, enormous effort is being devoted to the development of inhibitors using clinical tests, wet-lab experiments and drug design, being this a preliminary step in the process of creating new drugs, prior to synthesis and clinical testing. One central aspect in the development of new drugs is the characterization of all species that can be used for treatment. In this aim we propose a computational framework based on combined all-atom molecular dynamics and metadynamics simulations in order to accurately access the most stable conformational variants for several derivatives of a recently proposed small-molecule, called DBD15-21-22. Free energy calculations are essential to unveil mechanisms at the atomic scale like binding affinities or dynamics of stable states. Considering specific atom-atom distances and torsional angles as reliable reaction coordinates we have obtained free-energy landscapes by well-tempered metadynamics simulations, revealing local and global minima of the free-energy hypersurface. We have observed that a variety of stable states together with transitions states are clearly detected depending on the particular species, leading to predictions on the behaviour of such compounds in ionic aqueous solution.

biophysics↗

bioRxiv2023

Modeling spatial evolution of multi-drug resistance under drug environmental gradients

Multi-drug combinations to treat bacterial populations are at the forefront of approaches for infection control and prevention of antibiotic resistance. Although the evolution of antibiotic resistance has been theoretically studied with mathematical population dynamics models, extensions to spatial dynamics remain rare in the literature, including in particular spatial evolution of multi-drug resistance. In this study, we propose a reaction-diffusion system that describes the multi-drug evolution of bacteria, based on a rescaling approach (Gjini and Wood, 2021). We show how the resistance to drugs in space, and the consequent adaptation of growth rate is governed by a Price equation with diffusion. The covariance terms in this equation integrate features of drug interactions and collateral resistances or sensitivities to the drugs. We study spatial versions of the model where the distribution of drugs is homogeneous across space, and where the drugs vary environmentally in a piecewise-constant, linear and nonlinear manner. Applying concepts from perturbation theory and reaction-diffusion equations, we propose an analytical characterization of average mutant fitness in the spatial system based on the principal eigenvalue of our linear problem. This enables an accurate translation from drug spatial gradients and mutant antibiotic susceptibility traits, to the relative advantage of each mutant across the environment. Such a mathematical understanding allows to predict the precise outcomes of selection over space, ultimately from the fundamental balance between growth and movement traits, and their diversity in a population.

evolutionary biology↗

bioRxiv2023

ROCK1 activates mitochondrial fission leading to oxidative stress and muscle atrophy

Chronic kidney disease (CKD) is often associated with protein-energy wasting (PEW), which is characterized by a reduction in muscle mass and strength. Although mitochondrial dysfunction and oxidative stress have been implicated to play a role in the pathogenesis of muscle wasting, the underlying mechanisms remain unclear. In this study, we used transcriptomics, metabolomics analyses and mouse gene manipulating approaches to investigate the effects of mitochondrial plasticity and oxidative stress on muscle wasting in mouse CKD models. Our results showed that the expression of oxidative stress response genes was increased, and that of oxidative phosphorylation genes was decreased in the muscles of mice with CKD. This was accompanied by reduced oxygen consumption rates, decreased levels of mitochondrial electron transport chain proteins, and increased cellular oxidative damage. Excessive mitochondrial fission was also observed, and we found that the activation of ROCK1 was responsible for this process. Inducible expression of muscle-specific constitutively active ROCK1 (mROCK1ca) exacerbated mitochondrial fragmentation and muscle wasting in CKD mice. Conversely, ROCK1 depletion (ROCK1-/-) alleviated these phenomena. Mechanistically, ROCK1 activation promoted the recruitment of Drp1 to mitochondria, thereby facilitating fragmentation. Notably, the pharmacological inhibition of ROCK1 mitigated muscle wasting by suppressing mitochondrial fission and oxidative stress. Our findings demonstrate that ROCK1 participates in CKD-induced muscle wasting by promoting mitochondrial fission and oxidative stress, and pharmacological suppression of ROCK1 could be a therapeutic strategy for combating muscle wasting in CKD conditions. Translational StatementProtein-energy wasting (PEW) is a prevalent issue among patients with chronic kidney disease (CKD) and is characterized by the loss of muscle mass. Our research uncovers a critical role that ROCK1 activation plays in muscle wasting induced by CKD. We found that ROCK1 is instrumental in causing mitochondrial fission, which leads to increased oxidative stress in muscle cells. By employing a pharmacological inhibitor, hydroxyfasudil, we were able to effectively curb ROCK1 activity, which in turn mitigated muscle wasting by reducing both mitochondrial fission and oxidative stress. These findings suggest that pharmacological inhibition of ROCK1 presents a promising therapeutic strategy for combating the muscle wasting associated with CKD.

cell biology↗

bioRxiv2023

A telomere-to-telomere genome assembly of Zhonghuang 13, a widely-grown soybean variety from the original center of Glycine max

Soybean (Glycine max) stands as a globally significant agricultural crop, and the comprehensive assembly of its genome is of paramount importance for unraveling its biological characteristics and evolutionary history. Nevertheless, previous soybean genome assemblies have harbored gaps and incompleteness, which have constrained in-depth investigations into soybean. Here, we present the first Telomere-to-Telomere (T2T) assembly of the Chinese soybean cultivar "Zhonghuang 13" (ZH13) genome, termed ZH13-T2T, utilizing PacBio Hifi and ONT ultralong reads. We employed a multi-assembler approach, integrating Hifiasm, NextDenovo, and Canu, to minimize biases and enhance assembly accuracy. The assembly spans 1,015,024,879 bp, effectively resolving all 393 gaps that previously plagued the reference genome. Our annotation efforts identified 50,564 high-confidence protein-coding genes, 707 of which are novel. ZH13-T2T revealed longer chromosomes, 421 not-aligned regions (NARs), 112 structure variations (SVs), and a substantial expansion of repetitive element compared to earlier assemblies. Specifically, we identified 25.67 Mb of tandem repeats, an enrichment of 5S and 48S rDNAs, and characterized their genotypic diversity. In summary, we deliver the first complete Chinese soybean cultivar T2T genome. The comprehensive annotation, along with precise centromere and telomere characterization, as well as insights into structural variations, further enhance our understanding of soybean genetics and evolution.

plant biology↗

bioRxiv2023

GeneCompass: Deciphering Universal Gene Regulatory Mechanisms with Knowledge-Informed Cross-Species Foundation Model

Deciphering the universal gene regulatory mechanisms in diverse organisms holds great potential to advance our knowledge of fundamental life process and facilitate research on clinical applications. However, the traditional research paradigm primarily focuses on individual model organisms, resulting in limited collection and integration of complex features on various cell types across species. Recent breakthroughs in single-cell sequencing and advancements in deep learning techniques present an unprecedented opportunity to tackle this challenge. In this study, we developed GeneCompass, the first knowledge-informed, cross-species foundation model pre-trained on an extensive dataset of over 120 million single-cell transcriptomes from human and mouse. During pre-training, GeneCompass effectively integrates four types of biological prior knowledge to enhance the understanding of gene regulatory mechanisms in a self-supervised manner. Fine-tuning towards multiple downstream tasks, GeneCompass outperforms competing state-of-the-art models in multiple tasks on single species and unlocks new realms of cross-species biological investigation. Overall, GeneCompass marks a milestone in advancing knowledge of universal gene regulatory mechanisms and accelerating the discovery of key cell fate regulators and candidate targets for drug development.

bioinformatics↗

bioRxiv2023

Enhanced neutralization of SARS-CoV-2 XBB sub-lineages and BA.2.86 by a tetravalent COVID-19 vaccine booster

As the SARS-CoV-2 virus continues to evolve, novel XBB sub-lineages such as XBB.1.5, XBB.1.16, EG.5, HK.3 (FLip), and XBB.2.3, as well as the most recent BA.2.86, have been identified and aroused global concern. Understanding the efficacy of current vaccines and the immune systems response to these emerging variants is critical for global public health. In this study, we evaluated the neutralization activities of sera from participants who received COVID-19 inactivated vaccines, or a booster vaccination of the recently approved tetravalent protein vaccine in China (SCTV01E), or had contracted a breakthrough infection with BA.5/BF.7/XBB virus. Comparative analysis of their neutralization profiles against a broad panel of 30 SARS-CoV-2 sub-lineage viruses revealed that strains such as BQ.1.1, CH.1.1, and all the XBB sub-lineages exhibited heightened resistance to neutralization than previous variants, however, despite the extra mutations carried by emerging XBB sub-lineages and BA.2.86, they did not demonstrate significantly increased resistance to neutralization compared to XBB.1.5. Encouragingly, the SCTV01E booster vaccination consistently induced robust and considerably higher neutralizing titers against all these variants than breakthrough infection did. Cellular immunity assays also showed that the SCTV01E booster vaccination elicited a higher frequency of virus-specific memory B cells but not IFN-{gamma} secreting T cells. Our findings underline the importance of developing novel multivalent vaccines to more effectively combat future viral variants.

immunology↗

bioRxiv2023

PVN microglia via P2Y12 transmit hemodynamic signal to promote sympathetic excitation in hypertension

Hypertension is usually accompanied with an elevated sympathetic tonicity, but how sympathetic hyperactivity is triggered is not fully understood. Recent advances reveal that microglia-centered neuroinflammation contributes to sympathetic excitation in hypertension. In this study, we performed a temporospatial analysis of microglia at both morphological and transcriptomic levels, and found that microglia in the hypothalamic paraventricular nucleus (PVN) were early responders to hypertensive challenges. PVN is the central hub for maintaining cardiovascular function via regulation of fluid balance and sympathetic outflow. Comprehensive vasculature analyses unveiled that PVN was characterized by high capillary density, thin vessel diameter, and complex vascular topology among brain regions. As such, PVN is susceptible to the penetration of ATP released from the vasculature in response to hemodynamic disturbance after blood pressure increase. ATP ligation to microglial P2Y12 receptor is responsible for the microglial accumulation and activation in the PVN. Furthermore, either pharmacological blockade or genetic ablation of microglial P2Y12 could substantially restrain blood pressure increase under hypertensive challenge. Together, these findings disclose that a unique vasculature pattern results in the vulnerability of PVN pre-sympathetic neurons to hypertension-associated insults, which is mediated by microglia.

neuroscience↗

bioRxiv2023

Enhanced Aversive Signals During Classical Conditioning in Dopamine Axons in Medial Prefrontal Cortex

Midbrain dopamine neurons impact neural processing in the prefrontal cortex (PFC) through mesocortical projections. However, the signals conveyed by dopamine projections to the PFC remain unclear, particularly at the single-axon level. Here, we investigated dopaminergic axonal activity in the medial PFC (mPFC) during reward and aversive processing. By optimizing microprism-mediated two-photon calcium imaging of dopamine axon terminals, we found diverse activity in dopamine axons responsive to both reward and aversive stimuli. Some axons exhibited a preference for reward, while others favored aversive stimuli, and there was a strong bias for the latter at the population level. Long-term longitudinal imaging revealed that the preference was maintained in reward- and aversive-preferring axons throughout classical conditioning in which rewarding and aversive stimuli were paired with preceding auditory cues. However, as mice learned to discriminate reward or aversive cues, a cue activity preference gradually developed only in aversive-preferring axons. We inferred the trial-by-trial cue discrimination based on machine learning using anticipatory licking or facial expressions, and found that successful discrimination was accompanied by sharper selectivity for the aversive cue in aversive-preferring axons. Our findings indicate that a group of mesocortical dopamine axons encodes aversive-related signals, which are modulated by both classical conditioning across days and trial-by-trial discrimination within a day. Impact statementTwo-photon calcium imaging revealed that many mesocortical dopamine axons show enhanced selectivity for aversive cue processing during classical conditioning.

neuroscience↗

bioRxiv2023

Osteoclast-Cancer Cell Metabolic Symbiosis Renders PARP Inhibitor Therapy Resistance in Bone Metastasis

Seventy percent of patients with late-stage breast cancer develop distal bone metastases; however, the mechanism by which the metabolic microenvironment affects resistance to therapy remains unknown. We investigated the metabolic bone microenvironment and identified glutathione metabolism as the top pathway in osteoclasts, which provides feedback to tumor cells to help neutralize oxidative stress and generate PARP inhibitor (PARPi) therapy resistance. GPX4, the critical enzyme responsible for glutathione oxidation, was upregulated during PARPi therapy through stress-induced ATF4-dependent transcriptional programming. The increased absorption of glutamine and the upregulation of GPX4 expression work in concert to enhance glutathione metabolism in cancer cells. Human clinical sample analysis of paired primary breast tumor and bone metastasis samples revealed that GPX4 was significantly induced in bone metastases. Combination therapy utilizing PARPi and zoledronate, which blocks osteoclast activity and thereby reduces the microenvironmental glutamine supply, generates a synergistic effect in reducing bone metastasis. Thus, our results identified an essential metabolic symbiosis between bone-resident cells and metastatic cancer cells during PARPi therapy. SIGNIFICANCEOsteoclast-derived glutamine is taken up by tumor cells to synthesize glutathione and neutralize the ROS generated by PARPi. This is the first example of "metabolic symbiosis" in therapeutic resistance of bone metastasis.

cancer biology↗

bioRxiv2023

Chemotherapeutic regulation of the ROS/MondoA-dependent TXNIP/GDF15 axis; and derivation of a new organoid metric as a predictive biomarker

Chemotherapy, the standard of care treatment for cancer patients with advanced disease, has been increasingly recognised to activate host immune responses to produce durable outcomes. Here, in colorectal adenocarcinoma (CRC) we identify chemotherapy-induced Thioredoxin Interacting Protein (TXNIP), a MondoA-dependent tumor suppressor gene, as a negative regulator of Growth/Differentiation Factor 15 (GDF15). GDF15 is a negative prognostic factor in CRC and promotes the differentiation of regulatory T cells (Tregs), through CD48 ligation. Intriguingly, multiple models including patient-derived tumor organoids demonstrate that loss of TXNIP/GDF15 axis functionality is associated with advanced disease or chemotherapeutic resistance, with transcriptomic or proteomic GDF15/TXNIP ratios showing potential as a prognostic biomarker. These findings illustrate a potentially common pathway where chemotherapy-induced epithelial stress drives local immune remodelling for patient benefit, with disruption of this pathway seen in refractory or advanced cases.

cancer biology↗

bioRxiv2023

Frequency-dependent selection of neoantigens fosters tumor immune escape and predicts immunotherapy response

Cancer is an evolutionary process undergoing stringent immune selection. However, recent studies have revealed that certain tumors undergo neutral evolution following the malignant transformation. Here, we propose negative frequency-dependent selection (or NFDS), where the immune response against cancer cells depends on the clonality of neoantigens, can lead to an immunogenic landscape that is similar to neutral evolution. With a stochastic model of NFDS, we demonstrated that NFDS promotes early immune evasion in hypermutable tumors, leading to neutral-like evolutionary dynamics with high antigenic heterogeneity and worse response to immune checkpoint blockade (ICB) therapy. Our model also revealed that NFDS is characterized by a negative association between average clonality and total burden of neoantigens. Indeed, NFDS was validated with whole-exome sequencing datasets (357 tumor samples from 275 patients) from four melanoma cohorts with ICB therapy. Altogether, our study provides the first quantitative evidence supporting the theory of NFDS in immune-driven cancer evolution. These findings highlight the critical role of NFDS theory in devising more efficient and predictive immunotherapies.

cancer biology↗

bioRxiv2023

Inherited retinal degeneration: T-type voltage-gated channels, Na+/Ca2+-exchanger, and calpain-2 promote photoreceptor cell death.

Inherited retinal degeneration (IRD) refers to a group of untreatable blinding diseases characterized by a progressive loss of photoreceptors. IRD pathology is often linked to an excessive activation of cyclic nucleotide-gated channels (CNGC) leading to Na+- and Ca2+-influx, subsequent activation of voltage-gated Ca2+-channels (VGCC), and further Ca2+ influx. However, whether and how exactly intracellular Ca2+ overload contributes to photoreceptor degeneration is still controversial. Here, we used whole-retina and single-cell RNA-sequencing to compare gene expression between the rd1 mouse model for IRD and wild-type (wt) mice. Differentially expressed genes were linked to several Ca2+-signalling related pathways. To explore this further, organotypic retinal explant cultures derived from rd1 and wt mice were treated with the intracellular Ca2+-chelator BAPTA-AM and with inhibitors for different Ca2+-permeable channels, including CNGC, L-type VGCC, T-type VGCC, Ca2+-release-activated channel (CRAC), and Na+/Ca2+ exchanger (NCX). Moreover, we employed the compound NA-184 to selectively inhibit the Ca2+-dependent protease calpain-2. The overall activity of poly(ADP-ribose) polymerases (PARPs), sirtuin-type histone-deacetylases, calpains, as well as the activation of calpain-1, and -2 were analysed in situ on retinal tissue sections. Cell viability was assessed via the TUNEL assay. While rd1 photoreceptor cell death was reduced by BAPTA-AM, the effects of Ca2+-channel blockers were ambiguous, with T-type VGCC and NCX inhibition showing protection, while blocking CNGC and CRAC was detrimental. Activity of calpains and PARPs generally followed similar trends as cell death. Remarkably, sirtuin activity and calpain-1 activation was associated with photoreceptor protection, while calpain-2 activity was linked to degeneration. Accordingly, the calpain-2 inhibitor NA-184 protected rd1 photoreceptors. Together, these results indicate that Ca2+ overload in rd1 photoreceptors may be triggered by T-type VGCC in conjunction with NCX. High Ca2+-levels likely suppress the protective activity of calpain-1 and promote neurodegeneration via activation of calpain-2. Our study details the complexity of Ca2+-signalling in photoreceptors and emphasizes the importance of identifying and targeting degenerative processes to achieve a therapeutic benefit for IRD.

neuroscience↗

bioRxiv2023

Histone deacetylase 3 plays a critical role in hypertension-induced kidney inflammation and fibrosis

Objective: Hypertension is a major cause of chronic kidney disease. The molecular mechanisms how hypertension causes kidney disease are not fully understood. In this study, we examined the functional role of histone deacetylase 3 (HDAC3) in the pathogenesis of hypertensive kidney disease. Approach and Results: Myeloid HDAC3 knockout mice were generated by crossing HDAC3f/f mice with LysM-Cre+/- mice. Both LysM-Cre-/-HDAC3f/f (HDAC3CON) mice and LysM-Cre+/+HDAC3f/f (HDAC3MKO) mice were subjected to uninephrectomy and treated with angiotensin II at 1.5 ug/kg/min or vehicle for 28 days. Blood pressure increased comparably in both HDAC3CON and HDAC3MKO mice following angiotensin II treatment. Compared with HDAC3CON mice, HDAC3MKO mice were protected from angiotensin II-induced kidney dysfunction and pathological injury and developed less proteinuria. Myeloid HDAC3 deficiency markedly attenuated the protein levels of fibronectin, collagen I, and ?-SMA in the kidney following angiotensin II treatment. Furthermore, HDAC3MKO mice accumulated significantly fewer myeloid fibroblasts and macrophages in the kidney after angiotensin II treatment. Myeloid HDAC3 deficiency significantly reduced the mRNA expression of proinflammatory molecules in the kidney following angiotensin II treatment. In cultured macrophages, knockdown of HDAC3 with shRNA suppressed proinflammatory molecule expression. Furthermore, knockdown of HDAC3 inhibited NF-kB p65 enrichment to IL-6 promoter. Conclusion: Our study identifies a critical role of myeloid HDAC3 in the regulation of hypertension-induced kidney inflammation and fibrosis. Targeting HDAC3 may represent a novel therapeutic strategy for hypertensive kidney disease.

pathology↗