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Chen, S.

Publications and source records attributed to Chen, S..

At least 649 records · Page 36Linked to original sources

Potent and specific human monoclonal antibodies against SARS-CoV-2 Omicron variant by rapid mRNA immunization of humanized mice

The Omicron variant (B.1.1.529) of SARS-CoV-2 rapidly becomes dominant globally. Its extensive mutations confer severe efficacy reduction to most of existing antibodies or vaccines. Here, we developed RAMIHM, a highly efficient strategy to generate fully human monoclonal antibodies (mAbs), directly applied it with Omicron-mRNA immunization, and isolated three potent and specific clones against Omicron. Rapid mRNA immunization elicited strong anti-Omicron antibody response in humanized mice, along with broader anti-coronavirus activity. Customized single cell BCR sequencing mapped the clonal repertoires. Top-ranked clones collectively from peripheral blood, plasma B and memory B cell populations showed high rate of Omicron-specificity (93.3%) from RAMIHM-scBCRseq. Clone-screening identified three highly potent neutralizing antibodies that have low nanomolar affinity for Omicron RBD, and low ng/mL level IC50 in neutralization, more potent than majority of currently approved or authorized clinical RBD-targeting mAbs. These lead mAbs are fully human and ready for downstream IND-enabling and/or translational studies.

bioengineering↗

Hetero-bivalent Nanobodies Provide Broad-spectrum Protection against SARS-CoV-2 Variants of Concern including Omicron

Following Delta, Omicron variant triggered a new wave of SARS-CoV-2 infection globally, adaptive evolution of the virus may not stop, the development of broad-spectrum antivirals is still urgent. We previously developed two hetero-bivalent nanobodies with potent neutralization against original WT SARS-CoV-2, termed aRBD-2-5 and aRBD-2-7, by fusing aRBD-2 with aRBD-5 or aRBD-7, respectively. Here, we resolved crystal structures of these nanobodies in complex with RBD, and found the epitope of aRBD-2 differs from that of aRBD-5, aRBD-7. aRBD-2 binds to a conserved epitope which renders its binding activity to all variants of concern (VOCs) including Omicron. Interestingly, although monovalent aRBD-5 and aRBD-7 lost binding to some variants, they effectively improved the overall affinity when transformed into the hetero-bivalent form after being fused with aRBD-2. Consistent with the high binding affinities, aRBD-2-5-Fc and aRBD-2-7-Fc exhibited ultra-potent neutralization to all five VOCs; particularly, aRBD-2-5-Fc neutralized authentic virus of Beta, Delta and Omicron with the IC50of 5.98[~]9.65 ng/mL or 54.3[~]87.6 pM. Importantly, aRBD-2-5-Fc provided in vivo prophylactic protection for mice against WT and mouse-adapted SARS-CoV-2, and provided full protection against Omicron in hamster model when administrated either prophylactically or therapeutically. Taken together, we found a conserved epitope on RBD, and hetero-bivalent nanobodies had increased affinity for VOCs over its monovalent form, and provided potent and broad-spectrum protection both in vitro and in vivo against all tested major variants, and potentially future emerging variants. Our strategy provides a new solution in the development of therapeutic antibodies for COVID-19 caused by newly emergent VOCs.

immunology↗

Double knockout CRISPR screen in cancer resistance to T cell cytotoxicity

Immunotherapy has transformed cancer treatments; however, a large fraction of patients encounter resistance. Such resistance is mediated by complex factors, often involving interactions between multiple genes. Thus, it is crucially important to identify genetic interactions between genes that are significantly mutated in cancer patients and those involved in immune responses, ideally the ones that currently have chemical compounds for direct targeting. To systematically interrogate such genetic interactions that mediate cancer cells response to T cell killing, we designed an asymmetric CRISPR/Cas9 dual perturbation library targeting the matched combinations between significantly mutated tumor suppressors and immune resistance genes. We performed a combinatorial double knockout screen on 1,159 gene pairs and identified those where joint loss-of-function renders altered cellular response to T cell cytotoxicity. With individual double knockout constructs we validated these genetic interactions including Jak1-Trp53, Jak1-Kmt2d, and Ifngr1-Kmt2d. Interactions between significantly mutated tumor suppressors and potentially druggable immune resistance genes may offer insights on potential new concepts of how to target clinically relevant cancer mutations with currently available agents. This study also provides a technology platform and an asymmetric CRISPR double knockout library for interrogating genetic interactions between cancer mutations and immune resistance pathways under various settings.

genomics↗

Neuronal miR-138 represses HSV-2 lytic infection by regulating viral and host genes with mechanistic differences compared to HSV-1

Herpes simplex virus 2 (HSV-2) establishes latent infection in dorsal root ganglion (DRG) neurons after productive (lytic) infection in peripheral tissues. A neuron-specific microRNA, miR-138, favors HSV-1 latency by repressing viral ICP0, and host Oct-1 and Foxc1 genes, yet the role of miR-138 in HSV-2 infection was unknown. The ICP0 mRNAs of HSV-1, HSV-2 and chimpanzee herpesvirus each have one to two canonical miR-138 binding sites. The sites are 100% conserved in 308 HSV-1 and 300 HSV-2 published sequences of clinical isolates. In co-transfection assays, miR-138 repressed HSV-2 ICP0 expression through the seed region and surrounding interactions that are different from HSV-1. An HSV-2 mutant with disrupted miR-138 binding sites on ICP0 showed increased ICP0 expression in Neuro-2a cells. Photoactivatable ribonucleoside-enhanced crosslinking and immunoprecipitation confirmed miR-138 binding to HSV-2 ICP0, and identified UL19 and UL20 as additional targets, whose expression was repressed by miR-138 during co-transfection. In Neuro-2a cells, transfected miR-138 and its antagomir decreased and increased HSV-2 replication, respectively, and knockout experiment showed that miR-138s host targets OCT-1 and FOXC1 were important for HSV-2 replication. In primary mouse DRG neurons, both ICP0 and FOXC1 positively regulated HSV-2 replication, but both overexpressed and endogenous miR-138 suppressed HSV-2 replication primarily by repressing ICP0 expression. Thus, miR-138 can suppress HSV-2 neuronal replication through multiple viral and host pathways. These results reveal functional similarities and mechanistic differences in how miR-138 regulates HSV-1 and HSV-2 infection and indicate an evolutionary advantage of using miR-138 to repress lytic infection in neurons. ImportanceHerpes simplex virus 1 (HSV-1) and HSV-2 are closely related viruses with major differences. Both viruses establish latency in neurons from which they reactivate to cause disease. A key aspect of HSV latency is repression of productive infection in neurons. Based on previous work with HSV-1, we investigated the role of a neuron-specific microRNA, miR-138, in HSV-2 infection, and established it as a repressor of HSV-2 productive infection in neuronal cells. This repression is mediated mainly by targeting viral ICP0 and host Foxc1 mRNAs, but other pathways also contribute. Despite functional conservation of the role of miR-138 between HSV-1 and HSV-2, many molecular mechanisms differ including how miR-138 represses ICP0 expression and miR-138 targeting of HSV-2 but not HSV-1 UL19 and UL20. To our knowledge, this study provides the first example of host microRNA regulation of HSV-2 infection.

microbiology↗

Omicron-specific mRNA vaccine elicits potent immune responses in mice, hamsters, and nonhuman primates

SARS-CoV-2 has infected more than 400 million people around the globe and caused millions of deaths. Since its identification in November 2021, Omicron, a highly transmissible variant, has become the dominant variant in most countries. Omicrons highly mutated spike protein, the main target of vaccine development, significantly compromises the immune protection from current vaccination. We develop an mRNA vaccine (SOmicron-6P) based on an Omicron-specific sequence. In mice, SOmicron-6P shows superior neutralizing antibodies inducing abilities to a clinically approved inactivated virus vaccine, a clinically approved protein subunit vaccine, and an mRNA vaccine (SWT-2P) with the same sequence of BNT162b2 RNA. Significantly, SOmicron-6P induces a 14.4[~]27.7-fold and a 28.3[~]50.3-fold increase of neutralizing activity against the pseudovirus of Omicron and authentic Omicron compared to SWT-2P, respectively. In addition, two doses SOmicron-6P significantly protects Syrian hamsters against challenge with SARS-CoV-2 Omicron variant and elicits high titers of nAbs in a dose-dependent manner in macaques. Our results suggest that SOmicron-6P offers advantages over current vaccines, and it will be helpful for those with weak immunity.

microbiology↗

A high-performance genetically encoded fluorescent indicator for in vivo cAMP imaging

cAMP is a key second messenger that regulates diverse cellular functions including neural plasticity. However, the spatiotemporal dynamics of intracellular cAMP in intact organisms are largely unknown due to low sensitivity and/or brightness of current genetically encoded fluorescent cAMP indicators. Here, we report the development of the new circularly permuted GFP (cpGFP)-based cAMP indicator G-Flamp1, which exhibits a large fluorescence increase (a maximum {Delta}F/F0 of 1100% in HEK293T cells), relatively high brightness, appropriate affinity (a Kd of 2.17 {micro}M) and fast response kinetics (an association and dissociation half-time of 0.20 s and 0.087 s, respectively). Furthermore, the crystal structure of the cAMP-bound G-Flamp1 reveals one linker connecting the cAMP-binding domain to cpGFP adopts a distorted {beta}-strand conformation that may serve as a fluorescence modulation switch. We demonstrate that G-Flamp1 enables sensitive monitoring of endogenous cAMP signals in brain regions that are implicated in learning and motor control in living organisms such as fruit flies and mice.

molecular biology↗

Interrogating Metabolic Interactions Between Skeletal Muscle and Liver Circadian Clocks In Vivo

Expressed throughout the body, the circadian clock system achieves daily metabolic homeostasis at every level of physiology, with clock disruption associated with metabolic disease (1, 2). Molecular clocks present in the brain, liver, adipose, pancreas and skeletal muscle each contribute to glucose homeostasis (3). However, it is unclear; 1) which organ clocks provide the most essential contributions, and 2) if these contributions depend on inter-organ communication. We recently showed that the liver clock alone is insufficient for most aspects of daily liver glucose handling and requires connections with other clocks (4). Considering the pathways that link glucose metabolism between liver and skeletal muscle, we sought to test whether a clock connection along this axis is important. Using our previous published methodology for tissue-specific rescue of Bmal1 in vivo (4, 5), we now show that in the absence of feeding-fasting cycles, liver and muscle clocks are not sufficient for systemic glucose metabolism, nor do they form a functional connection influencing local glucose handling or daily transcriptional rhythms in each tissue. However, the introduction of a daily feeding-fasting rhythm enables a synergistic state between liver and muscle clocks that leads to restoration of systemic glucose tolerance. These findings reveal limited autonomous capabilities of liver and muscle clocks and highlight the need for inter-organ clock communication for glucose homeostasis which involves at least two peripheral metabolic organs.

cell biology↗

High-dimension to high-dimension screening for detecting genome-wide epigenetic regulators of gene expression

MotivationThe advancement of high-throughput technology characterizes a wide range of epigenetic modifications across the genome involved in disease pathogenesis via regulating gene expression. The high-dimensionality of both epigenetic and gene expression data make it challenging to identify the important epigenetic regulators of genes. Conducting univariate test for each epigenetic-gene pair is subject to serious multiple comparison burden, and direct application of regularization methods to select epigenetic-gene pairs is computationally infeasible. Applying fast screening to reduce dimension first before regularization is more efficient and stable than applying regularization methods alone. ResultsWe propose a novel screening method based on robust partial correlation to detect epigenetic regulators of gene expression over the whole genome, a problem that includes both high-dimensional predictors and high-dimensional responses. Compared to existing screening methods, our method is conceptually innovative that it reduces the dimension of both predictor and response, and screens at both node (epigenetic features or genes) and edge (epigenetic-gene pairs) levels. We develop data-driven procedures to determine the conditional sets and the optimal screening threshold, and implement a fast iterative algorithm. Simulations and two applications to long non-coding RNA and DNA methylation regulation in Kidney cancer and Glioblastoma Multiforme illustrate the validity and advantage of our method. AvailabilityThe R package, related source codes and real data sets used in this paper are provided at https://github.com/kehongjie/rPCor.

bioinformatics↗

Combined single-cell RNA-seq profiling and enhancer editing reveals critical spatiotemporal controls over thalamic nuclei formation in the murine embryo

The thalamus is the principal information hub of the vertebrate brain, with essential roles in sensory and motor information processing, attention, and memory. The molecular mechanisms regulating the formation of thalamic nuclei are unclear. We apply longitudinal single-cell RNA-sequencing, regional abrogation of Sonic-hedgehog (Shh), and spatial profiling of gene expression to map the developmental trajectories of thalamic progenitors, intermediate progenitors, and post-mitotic neurons as they coalesce into distinct thalamic nuclei. These data reveal that the complex architecture of the thalamus is established early during embryonic brain development through the coordinated action of four cell differentiation lineages derived from Shh-dependent and independent progenitors. We systematically characterize the gene expression programs that define these lineages across time and demonstrate how their disruption upon Shh depletion causes pronounced locomotor impairment resembling infantile Parkinsons disease. These results reveal key principles of thalamic development and provide mechanistic insights into neurodevelopmental disorders resulting from thalamic dysfunction.

neuroscience↗

SARS-CoV-2 Omicron-specific mRNA vaccine induces potent and broad antibody responses in vivo

The Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has high transmissibility and recently swept the globe. Due to the extensive number of mutations, this variant has high level of immune evasion, which drastically reduced the efficacy of existing antibodies and vaccines. Thus, it is important to test an Omicron-specific vaccine, evaluate its immune response against Omicron and other variants, and compare its immunogenicity as boosters with existing vaccine designed against the reference wildtype virus (WT). Here, we generated an Omicron-specific lipid nanoparticle (LNP) mRNA vaccine candidate, and tested its activity in animals, both alone and as a heterologous booster to existing WT mRNA vaccine. Our Omicron-specific LNP-mRNA vaccine elicited strong and specific antibody response in vaccination-naive mice. Mice that received two-dose WT LNP-mRNA, the one mimicking the commonly used Pfizer/Moderna mRNA vaccine, showed a >40-fold reduction in neutralization potency against Omicron variant than that against WT two weeks post second dose, which further reduced to background level >3 months post second dose. As a booster shot for two-dose WT mRNA vaccinated mice, a single dose of either a homologous booster with WT LNP-mRNA or a heterologous booster with Omicron LNP-mRNA restored the waning antibody response against Omicron, with over 40-fold increase at two weeks post injection as compared to right before booster. Interestingly, the heterologous Omicron LNP-mRNA booster elicited neutralizing titers 10-20 fold higher than the homologous WT booster against the Omicron variant, with comparable titers against the Delta variant. All three types of vaccination, including Omicron mRNA alone, WT mRNA homologous booster, and Omicron heterologous booster, elicited broad binding antibody responses against SARS-CoV-2 WA-1, Beta, and Delta variants, as well as other Betacoronavirus species such as SARS-CoV, but not Middle East respiratory syndrome coronavirus (MERS-CoV). These data provided direct proof-of-concept assessments of an Omicron-specific mRNA vaccination in vivo, both alone and as a heterologous booster to the existing widely-used WT mRNA vaccine form.

immunology↗

Ceramide-Rich Microdomains Facilitate Nuclear Envelope Budding during the Biogenesis of LTB4-containing Exosomes

Neutrophils migrating towards chemoattractant gradients amplify their recruitment range by releasing the secondary chemoattractant leukotriene B4 (LTB4)1,2. We previously demonstrated that LTB4 and its synthesizing enzymes, the 5-lipoxygenase (5-LO), 5-LO activating protein (FLAP), and leukotriene A4 hydrolase (LTA4H), are packaged and released in exosomes3. We now report that the biogenesis of the LTB4-containing exosomes is initiated at the nuclear envelope (NE) of activated neutrophils. We show that the neutral sphingomyelinase 1 (nSMase1)-mediated generation of ceramide enriched lipid-ordered microdomains initiates the clustering of the LTB4-synthesizing enzymes on the NE. We isolated and analyzed exosomes from activated neutrophils and established that the FLAP/5-LO-positive exosome population is distinct from that of the CD63-positive exosome population. Furthermore, we observed a strong co-localization between ALIX and FLAP at the periphery of nuclei and within cytosolic vesicles. We propose that the initiation of NE curvature and bud formation is mediated by nSMase1-dependent ceramide generation, which leads to FLAP and ALIX recruitment. Together, these observations elucidate the mechanism for LTB4 secretion and identify a novel pathway for exosome generation.

cell biology↗

Blocking Gi/o-coupled signaling eradicates cancer stem cells and sensitizes breast tumors to HER2-targeted therapies to inhibit tumor relapse

Cancer stem cells (CSCs) are a small subpopulation of cells within tumors that are resistant to anti-tumor therapies, making them a likely origin of tumor relapse after treatment. In many cancers including breast cancer, CSC function is regulated by G protein-coupled receptors (GPCRs), making GPCR signaling an attractive target for new therapies designed to eradicate CSCs. Yet, CSCs overexpress multiple GPCRs that are redundant in maintaining CSC function, so it is unclear how to target all the various GPCRs to prevent relapse. Here, in a model of HER2+ breast cancer (i.e., transgenic MMTV-Neu mice), we were able to block tumorsphere- and tumor-forming capability of CSCs by targeting GPCRs coupled to Gi/o proteins (Gi/o-GPCRs). Similarly, in HER2+ breast cancer cells, blocking signaling downstream of Gi/o-GPCRs in the PI3K/AKT and Src pathways also enhanced HER2-targeted elimination of CSCs. In a proof-of-concept study, when CSCs were selectively ablated (via a suicide gene construct), loss of CSCs from HER2+ breast cancer cell populations mimicked the effect of targeting Gi/o-GPCR signaling, suppressing their capacity for tumor initiation and progression and enhancing HER2-targeted therapy. Thus, targeting Gi/o-GPCR signaling in HER2+ breast cancer is a promising approach for eradicating CSCs, enhancing HER2+ targeted therapy and blocking tumor reemergence.

cancer biology↗

Curvelet Transform-based Sparsity Promoting Algorithm for Fast Ultrasound Localization Microscopy

Ultrasound localization microscopy (ULM) based on microbubble (MB) localization was recently introduced to overcome the resolution limit of conventional ultrasound. However, ULM is currently challenged by the requirement for long data acquisition times to accumulate adequate MB events to fully reconstruct vasculature. In this study, we present a curvelet transform-based sparsity promoting (CTSP) algorithm that improves ULM imaging speed by recovering missing MB localization signal from data with very short acquisition times. CTSP was first validated in a simulated microvessel model, followed by the chicken embryo chorioallantoic membrane (CAM), and finally, in the mouse brain. In the simulated microvessel study, CTSP robustly recovered the vessel model to achieve an 86.94% vessel filling percentage from a corrupted image with only 4.78% of the true vessel pixels. In the chicken embryo CAM study, CTSP effectively recovered the missing MB signal within the vasculature, leading to marked improvement in ULM imaging quality with a very short data acquisition. Taking the optical image as reference, the vessel filling percentage increased from 2.7% to 42.2% using 50ms of data acquisition after applying CTSP. CTSP used 80% less time to achieve the same 90% maximum saturation level as compared with conventional MB localization. We also applied CTSP on the microvessel flow speed maps and found that CTSP was able to use only 1.6s of microbubble data to recover flow speed images that have similar qualities as those constructed using 33.6s of data. In the mouse brain study, CTSP was able to reconstruct the majority of the cerebral vasculature using 1-2s of data acquisition. Additionally, CTSP only needed 3.2s of microbubble data to generate flow velocity maps that are comparable to those using 129.6s of data. These results suggest that CTSP can facilitate fast and robust ULM imaging especially under the circumstances of inadequate microbubble localizations.

bioengineering↗

A scalable pipeline for SARS-CoV-2 replicon construction based on de-novo synthesis

Replicons are synthetic viral RNA molecules that recapitulate the self-replicating activities of the virus but are missing its infectivity potential. Here, we report on a scalable pipeline to generate a replicon of any SARS-CoV-2 strain using de-novo synthesis. Our pipeline relies only on publicly available sequencing data without requiring access to any material, simplifying logistical and bureaucratic issues of sample acquisition. In addition, our system retains the nucleotide sequence of most of the SARS-CoV-2 full genome and therefore better captures its underlying genomic and biological functions as compared to the popular pseudotypes or any replicon system published to-date. We utilized our system to synthesize a SARS-CoV-2 non-infectious version of the Beta strain. We then confirmed that the resulting RNA molecules are non-infectious and safe to handle in a BSL2/CL2 facility. Finally, we show that our replicon can be specifically inhibited by molnupiravir and RNAi treatments, demonstrating its utility for drug research and development.

synthetic biology↗

HiC-LDNet: A general and robust deep learning framework for accurate chromatin loop detection in genome-wide contact maps

MotivationIdentifying chromatin loops from genome-wide interaction matrices like Hi-C data is notoriously difficult. Such kinds of patterns can span through the genome from a hundred kilobases to thousands of kilobases. Most loop patterns are frequently related to biological functions, such as providing contacts between regulatory regions and promoters. They can also affect the cell-specific biological functions of different regulatory regions of DNA, thus leading to disease and tumorigenesis. While most statistical methods failed in the generalization to multiple cell types, recently proposed machine learning-based methods struggled when tested on sparse single-cell Hi-C (scHi-C) contact maps. We notice that there is an urgent need for an algorithm that can handle sparse scHi-C maps, and at the same time, can generate confident loop calls on regular cell lines. ResultsTherefore, we propose a novel deep learning-based framework for Hi-C chromatin loop detection (HiC-LDNet) and provide corresponding downstream analysis. HiC-LDNet can give relatively more accurate predictions in multiple tissue types and contact technologies. Compared to other loop calling algorithms, such as HiCCUPS, Peakachu, and Chromosight, HiC-LDNet recovers a higher number of loop calls in multiple experimental platforms (Hi-C, ChIA-PET, DNA-SPRITE, and HiChIP), and achieves higher confidence scores in multiple cell types (Human GM12878, K562, HAP1, and H1-hESC). For example, in genome-wide loop detection on the human GM12878 cell line, HiC-LDNet successfully recovered 82.5% of loops within only 5 pixels of 10k bp resolution. Furthermore, in the sparse scHi-C ODC tissue, HiC-LDNet achieves superior performance by recovering 93.5% of ground truth loops with high confidence scores, compared with that of Peakachu (31.5%), Chromosight(69.6%), and HiCCUPS(9.5%). Therefore, our method is a robust and general pipeline for genome-wide chromatin loop detection for both bulk Hi-C and scHi-C data. Availabilityhttps://github.com/frankchen121212/HiC-LDNet Contactliyu@cse.cuhk.edu.hk and xin.gao@kaust.edu.sa

bioinformatics↗

Harringtonine has the effects of double blocking SARS-CoV-2 membrane fusion

Fusion with host cell membrane is the main mechanism of infection of SARS-CoV-2. Here, we propose a new strategy to double block SARS-CoV-2 membrane fusion by using Harringtonine (HT), a small-molecule antagonist. By using cell membrane chromatography (CMC), we found that HT specifically targeted the SARS-CoV-2 S protein and host cell TMPRSS2, and then confirmed that HT can inhibit pseudotyped virus membrane fusion. Furthermore, HT successfully blocked SARS-CoV-2 infection, especially in the delta and Omicron mutant. Since HT is a small-molecule antagonist, it is minimally affected by the continuous variation of SARS-CoV-2. Our findings show that HT is a potential small-molecule antagonist with a new mechanism of action against SARS-CoV-2 infection, and thus HT mainly targets the S protein, and thus, greatly reduces the damage of the S proteins autotoxicity to the organ system, has promising advantages in the clinical treatment of COVID-19.

pharmacology and toxicology↗

The central clock suffices to drive the majority of circulatory metabolic rhythms

Life on Earth anticipates recurring 24-h environmental cycles via genetically-encoded molecular clocks active in all mammalian organs. Communication between these clocks is believed to control circadian homeostasis. Metabolism can be considered a form of inter- tissue communication language that results in temporal coordination of systemic metabolism between tissues. Here we characterize the extent to which clocks in different organs employ this means of communication, an area which remains largely unexplored. For this, we analysed the metabolome of serum from mice with tissue-specific expression of the clock gene Bmal1. Notably, having functional hepatic and muscle clocks can only drive a minority (13%) of the oscillating metabolites in circulation. Conversely, limiting Bmal1 expression to Syt10- expressing neurons (which are enriched in the suprachiasmatic nucleus [SCN], the master pacemaker that regulates circadian rhythms) restores rhythms to 57% of circulatory metabolites and 28% of liver transcripts, and rescues glucose intolerance. Importantly, these parameters were also restored in clock-less mice upon rhythmic feeding, indicating that the central clock mainly regulates metabolic rhythms via behavior. These findings explicate the circadian communication between tissues and highlight the importance of the central clock in governing those signals.

physiology↗

LPS-TLR4 pathway stimulating in acute-on-chronic liver failure by promote NETs formation

Backgrounds: Intrahepatic infiltration of neutrophils is a character of alcoholic acute-on-chronic liver failure (AACLF) and neutrophil extracellular traps (NETs) are an important strategy for neutrophils to fix and kill invading microorganisms. Intestinal bacteria and the gut-liver axis have been thought to play a key role in many liver diseases also including AACLF. However, whether NETs appear in AACLF and play a role in AACLF is still unsure. Methods: WT, NE KO, and TLR4 KO mice were used to build the AACLF model, and the intestinal bacteria were eliminated at the same time and LPS was given. Then the formation of NETs and AACLF related markers were detected. Results: The serum MPO-DNA and LPS concentration was increased in AACLF patients and a correlation was revealed between these two indexes. More intrahepatic NETs formed in AACLF mice by testing MPO-DNA, Cit H3, and NE. These markers decreased with gut detergent and restored markers with gut detergent plus LPS supplement. While NETs formation failed to change with gut microbiome or combine LPS supplement in TLR4 KO mice. As we tested AACLF related characters, liver injury, intrahepatic fat deposition, inflammation, and fibrosis alleviated with depletion of NE. These related marks were also attenuated with gut sterilization by antibiotics and recovered with combined treatment with antibiotics plus LPS. But the liver injury, intrahepatic fat, fibro deposition, and liver inflammation-related markers did show a significant difference in TLR4 KO mice when they received the same treatment. Conclusion: Intestinal-derived LPS promotes NETs formation in AACLF through the TLR4 pathway and further accelerates the AACLF process by NETs.

pathology↗