Gingipain from Porphyromonas gingivalis causes insulin resistance by degrading insulin receptors through direct proteolytic effects

Periodontitis is a critical risk factor for the occurrence and development of diabetes.Porphyromonas gingivalis may participate in insulin resistance(IR)caused by periodontal inflammation,but the functional role and specific mechanisms of P.gingivalis in IR remain unclear.In the present study,clinical samples were analysed to determine the statistical correlation between P.gingivalis and IR occurrence.Through culturing of hepatocytes,myocytes,and adipocytes,and feeding mice P.gingivalis orally,the functional correlation between P.gingivalis and IR occurrence was further studied both in vitro and in vivo.Clinical data suggested that the amount of P.gingivalis isolated was correlated with the Homeostatic Model Assessment for IR score.In vitro studies suggested that coculture with P.gingivalis decreased glucose uptake and insulin receptor(INSR)protein expression in hepatocytes,myocytes,and adipocytes.Mice fed P.gingivalis tended to undergo IR.P.gingivalis was detectable in the liver,skeletal muscle,and adipose tissue of experimental mice.The distribution sites of gingipain coincided with the downregulation of INSR.Gingipain proteolysed the functional insulin-binding region of INSR.Coculture with P.gingivalis significantly decreased the INSR–insulin binding ability.Knocking out gingipain from P.gingivalis alleviated the negative effects of P.gingivalis on IR in vivo.Taken together,these findings indicate that distantly migrated P.gingivalis may directly proteolytically degrade INSR through gingipain,thereby leading to IR.The results provide a new strategy for preventing diabetes by targeting periodontal pathogens and provide new ideas for exploring novel mechanisms by which periodontal inflammation affects the systemic metabolic state.

MicrobiotaProcess:A comprehensive R package for deep mining microbiome

The data output from microbiome research is growing at an accelerating rate,yet mining the data quickly and efficiently remains difficult.There is still a lack of an effective data structure to represent and manage data,as well as flexible and composable analysis methods.In response to these two issues,we designed and developed the MicrobiotaProcess package.It provides a comprehensive data structure,MPSE,to better integrate the primary and intermediate data,which improves the integration and exploration of the downstream data.Around this data structure,the downstream analysis tasks are decomposed and a set of functions are designed under a tidy framework.These functions independently perform simple tasks and can be combined to perform complex tasks.

Reducing language barriers,promoting information absorption,and communication using fanyi

Interpreting genes of interest is essential for identifying molecular mechanisms,but acquiring such information typically involves tedious manual retrieval.To streamline this process,the fanyi package offers tools to retrieve gene information from sources like National Center for Biotechnology Information(NCBI),significantly enhancing accessibility.Additionally,understanding the latest research advancements and sharing achievements are crucial for junior researchers.However,language barriers often restrict knowledge absorption and career development.To address these challenges,we developed the fanyi package,which leverages artificial intelligence(AI)-driven online translation services to accurately translate among multiple languages.This dual functionality allows researchers to quickly capture and comprehend information,promotes a multilingual environment,and fosters innovation in academic community.Meanwhile,the translation functions are versatile and applicable beyond biomedicine research to other domains as well.The fanyi package is freely available at https://github.com/YuLab-SMU/fanyi.

Gut commensal metabolite rhamnose promotes macrophages phagocytosis by activating SLC12A4 and protects against sepsis in mice

Sepsis progression is significantly associated with the disruption of gut eubiosis.However,the modulatory mechanisms of gut microbiota operating during sepsis are still unclear.Herein,we investigated how gut commensals impact sepsis development in a pre-clinical model.Cecal ligation and puncture(CLP)surgery was used to establish polymicrobial sepsis in mice.Mice depleted of gut microbiota by an antibiotic cocktail(ABX)exhibited a significantly higher level of mortality than controls.As determined by metabolomics analysis,ABX treatment has depleted many metabolites,and subsequent supplementation with L-rhamnose(rhamnose,Rha),a bacterial carbohydrate metabolite,exerted profound immunomodulatory properties with a significant enhancement in macrophage phagocytosis,which in turn improved organ damage and mortality.Mechanistically,rhamnose binds directly to and activates the solute carrier family 12(potassium-chloride symporter),member 4(SLC12A4)in macrophages and promotes phagocytosis by activating the small G-proteins,Ras-related C3 botulinum toxin substrate1(Rac1)and cell division control protein 42 homolog(Cdc42).Interestingly,rhamnose has enhanced the phagocytosis capacity of macrophages from sepsis patients.In conclusion,by identifying SLC12A4 as the host interacting protein,we disclosed that the gut commensal metabolite rhamnose is a functional molecular that could promote the phagocytosis capacity of macrophages and protect the host against sepsis.

High-fat diet impairs gut barrier through intestinal microbiota-derived reactive oxygen species

Gut barrier disruption is a key event in bridging gut microbiota dysbiosis and high-fat diet(HFD)-associated metabolic disorders.However,the underlying mechanism remains elusive.In the present study,by comparing HFD-and normal diet(ND)-treated mice,we found that the HFD instantly altered the composition of the gut microbiota and subsequently damaged the integrity of the gut barrier.Metagenomic sequencing revealed that the HFD upregulates gut microbial functions related to redox reactions,as confirmed by the increased reactive oxygen species(ROS)levels in fecal microbiota incubation in vitro and in the lumen,which were detected using in vivo fluorescence imaging.This microbial ROS-producing capability induced by HFD can be transferred through fecal microbiota transplantation(FMT)into germ-free(GF)mice,downregulating the gut barrier tight junctions.Similarly,mono-colonizing GF mice with an Enterococcus strain excelled in ROS production,damaged the gut barrier,induced mitochondrial malfunction and apoptosis of the intestinal epithelial cells,and exacerbated fatty liver,compared with other low-ROS-producing Enterococcus strains.Oral administration of recombinant high-stability-superoxide dismutase(SOD)significantly reduced intestinal ROS,protected the gut barrier,and improved fatty liver against the HFD.In conclusion,our study suggests that extracellular ROS derived from gut microbiota play a pivotal role in HFD-induced gut barrier disruption and is a potential therapeutic target for HFD-associated metabolic diseases.

A novel engineered IL-21 receptor arms T-cell receptor-engineered T cells(TCR-T cells)against hepatocellular carcinoma

Strategies to improve T cell therapy efficacy in solid tumors such as hepatocellular carcinoma(HCC)are urgently needed.The common cytokine receptorγchain(γc)family cytokines such as IL-2,IL-7,IL-15 and IL-21 play fundamental roles in T cell development,differentiation and effector phases.This study aims to determine the combination effects of IL-21 in T cell therapy against HCC and investigate optimized strategies to utilize the effect of IL-21 signal in T cell therapy.The antitumor function of AFP-specific T cell receptor-engineered T cells(TCR-T)was augmented by exogenous IL-21 in vitro and in vivo.IL-21 enhanced proliferation capacity,promoted memory differentiation,downregulated PD-1 expression and alleviated apoptosis in TCR-T after activation.A novel engineered IL-21 receptor was established,and TCR-T armed with the novel engineered IL-21 receptors(IL-21R-TCR-T)showed upregulated phosphorylated STAT3 expression without exogenous IL-21 ligand.IL-21R-TCR-T showed better proliferation upon activation and superior antitumor function in vitro and in vivo.IL-21R-TCR-T exhibited a less differentiated,exhausted and apoptotic phenotype than conventional TCR-T upon repetitive tumor antigen stimulation.The novel IL-21 receptor in our study programs powerful TCR-T and can avoid side effects induced by IL-21 systemic utilization.The novel IL-21 receptor creates new opportunities for next-generation TCR-T against HCC.

A hnRNPA2B1 agonist effectively inhibits HBV and SARS-CoV-2 omicron in vivo

The twenty-first century has already recorded more than ten major epidemics or pandemics of viral disease,including the devastating COVID-19.Novel effective antivirals with broad-spectrum coverage are urgently needed.Herein,we reported a novel broad-spectrum antiviral compound PAC5.Oral administration of PAC5 eliminated HBV cccDNA and reduced the large antigen load in distinct mouse models of HBV infection.Strikingly,oral administration of PAC5 in a hamster model of SARS-CoV-2 omicron(BA.1)infection significantly decreases viral loads and attenuates lung inflammation.Mechanistically,PAC5 binds to a pocket near Asp49 in the RNA recognition motif of hnRNPA2B1.PAC5-bound hnRNPA2B1 is extensively activated and translocated to the cytoplasm where it initiates the TBK1-IRF3 pathway,leading to the production of type I IFNs with antiviral activity.Our results indicate that PAC5 is a novel small-molecule agonist of hnRNPA2B1,which may have a role in dealing with emerging infectious diseases now and in the future.

A metabolite from commensal Candida albicans enhances the bactericidal activity of macrophages and protects against sepsis

The gut microbiome is recognized as a key modulator of sepsis development.However,the contribution of the gut mycobiome to sepsis development is still not fully understood.Here,we demonstrated that the level of Candida albicans was markedly decreased in patients with bacterial sepsis,and the supernatant of Candida albicans culture significantly decreased the bacterial load and improved sepsis symptoms in both cecum ligation and puncture(CLP)-challenged mice and Escherichia coli-challenged pigs.Integrative metabolomics and the genetic engineering of fungi revealed that Candida albicans-derived phenylpyruvate(PPA)enhanced the bactericidal activity of macrophages and reduced organ damage during sepsis.Mechanistically,PPA directly binds to sirtuin 2(SIRT2)and increases reactive oxygen species(ROS)production for eventual bacterial clearance.Importantly,PPA enhanced the bacterial clearance capacity of macrophages in sepsis patients and was inversely correlated with the severity of sepsis in patients.Our findings highlight the crucial contribution of commensal fungi to bacterial disease modulation and expand our understanding of the host-mycobiome interaction during sepsis development.

Construction and evaluation of in-house methylation-sensitive SNaPshot system and three classification prediction models for identifying the tissue origin of body fluid

The identification of tissue origin of body fluid can provide clues and evidence for criminal case investigations.To establish an efficient method for identifying body fluid in forensic cases,eight novel body fluid-specific DNA methylation markers were selected in this study,and a multiplex single base extension reaction(SNaPshot)system for these markers was constructed for the identification of five common body fluids(venous blood,saliva,menstrual blood,vaginal fluid,and semen).The results indicated that the in-house system showed good species specificity,sensitivity,and ability to identify mixed biological samples.At the same time,an artificial body fluid prediction model and two machine learning prediction models based on the support vector machine(SVM)and random forest(RF)algorithms were constructed using previous research data,and these models were validated using the detection data obtained in this study(n=95).The accuracy of the prediction model based on experience was 95.79%;the prediction accuracy of the SVM prediction model was 100.00%for four kinds of body fluids except saliva(96.84%);and the prediction accuracy of the RF prediction model was 100.00%for all five kinds of body fluids.In conclusion,the in-house SNaPshot system and RF prediction model could achieve accurate tissue origin identification of body fluids.

Alterations in gut microbiota and metabolites associated with altitude-induced cardiac hypertrophy in rats during hypobaric hypoxia challenge

The gut microbiota is involved in host responses to high altitude.However,the dynamics of intestinal microecology and their association with altitude-related illness are poorly understood.Here,we used a rat model of hypobaric hypoxia challenge to mimic plateau exposure and monitored the gut microbiome,short-chain fatty acids(SCFAs),and bile acids(BAs)over 28 d.We identified weight loss,polycythemia,and pathological cardiac hypertrophy in hypoxic rats,accompanied by a large compositional shift in the gut microbiota,which is mainly driven by the bacterial families of Prevotellaceae,Porphyromonadaceae,and Streptococcaceae.The aberrant gut microbiota was characterized by increased abundance of the Parabacteroides,Alistipes,and Lactococcus genera and a larger Bacteroides to Prevotella ratio.Trans-omics analyses showed that the gut microbiome was significantly correlated with the metabolic abnormalities of SCFAs and BAs in feces,suggesting an interaction network remodeling of the microbiome-metabolome after the hypobaric hypoxia challenge.Interestingly,the transplantation of fecal microbiota significantly increased the diversity of the gut microbiota,partially inhibited the increased abundance of the Bacteroides and Alistipes genera,restored the decrease of plasma propionate,and moderately ameliorated cardiac hypertrophy in hypoxic rats.Our results provide an insight into the longitudinal changes in intestinal microecology during the hypobaric hypoxia challenge.Abnormalities in the gut microbiota and microbial metabolites contribute to the development of high-altitude heart disease in rats.

The gut microbial metabolite, 3,4-dihydroxyphenylpropionic acid, alleviates hepatic ischemia/reperfusion injury via mitigation of macrophage pro-inflammatory activity in mice

Hepatic ischemia/reperfusion injury(HIRI) is a serious complication that occurs following shock and/or liver surgery. Gut microbiota and their metabolites are key upstream modulators of development of liver injury. Herein, we investigated the potential contribution of gut microbes to HIRI.Ischemia/reperfusion surgery was performed to establish a murine model of HIRI. 16 S r RNA gene sequencing and metabolomics were used for microbial analysis. Transcriptomics and proteomics analysis were employed to study the host cell responses. Our results establish HIRI was significantly increased when surgery occurred in the evening(ZT12, 20:00) when compared with the morning(ZT0, 08:00);however, antibiotic pretreatment reduced this diurnal variation. The abundance of a microbial metabolite3,4-dihydroxyphenylpropionic acid was significantly higher in ZT0 when compared with ZT12 in the gut and this compound significantly protected mice against HIRI. Furthermore, 3,4-dihydroxyphenylpropionic acid suppressed the macrophage pro-inflammatory response in vivo and in vitro. This metabolite inhibits histone deacetylase activity by reducing its phosphorylation. Histone deacetylase inhibition suppressed macrophage pro-inflammatory activation and diminished the diurnal variation of HIRI. Our findings revealed a novel protective microbial metabolite against HIRI in mice. The potential underlying mechanism was at least in part, via 3,4-dihydroxyphenylpropionic acid-dependent immune regulation and histone deacetylase(HDAC) inhibition in macrophages.

Host metabolism dysregulation and cell tropism identification in human airway and alveolar organoids upon SARS-CoV-2 infection

The coronavirus disease 2019(COVID-19)pandemic is caused by infection with the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),which is spread primary via respiratory droplets and infects the lungs.Currently widely used cell lines and animals are unable to accurately mimic human physiological conditions because of the abnormal status of cell lines(transformed or cancer cells)and species differences between animals and humans.Organoids are stem cell-derived selforganized three-dimensional culture in vitro and model the physiological conditions of natural organs.Here we showed that SARS-CoV-2 infected and extensively replicated in human embryonic stem cells(hESCs)-derived lung organoids,including airway and alveolar organoids which covered the complete infection and spread route for SARS-CoV-2 within lungs.The infected ceils were ciliated,club,and alveolar type 2(AT2)cells,which were sequentially located from the proximal to the distal airway and terminal alveoli,respectively.Additionally,RNA-seq revealed early cell response to virus infection including an unexpected downregulation of the metabolic processes,especially lipid metabolism,in addition to the well-known upregulation of immune response.Further,Remdesivir and a human neutralizing antibody potently inhibited SARS-CoV-2 replication in lung organoids.Therefore,human lung organoids can serve as a pathophysiological model to investigate the underlying mechanism of SARS-CoV-2 infection and to discover and test therapeutic drugs for COVID-19.

clusterProfiler 4.0:A universal enrichment tool for interpreting omics data

Functional enrichment analysis is pivotal for interpreting highthroughput omics data in life science.It is crucial for this type of tool to use the latest annotation databases for as many organisms as possible.To meet these requirements,we present here an updated version of our popular Bioconductor package,clusterProfiler 4.0.This package has been enhanced considerably compared with its original version published 9 years ago.The new version provides a universal interface for functional enrichment analysis in thousands of organisms based on internally supported ontologies and pathways as well as annotation data provided by users or derived from online databases.It also extends the dplyr and ggplot2 packages to offer tidy interfaces for data operation and visualization.Other new features include gene set enrichment analysis and comparison of enrichment results from multiple gene lists.We anticipate that clusterProfiler 4.0 will be applied to a wide range of scenarios across diverse organisms.

The Biological Significance of Multi-copy Regions and Their Impact on Variant Discovery

Identification of genetic variants via high-throughput sequencing(HTS)technologies has been essential for both fundamental and clinical studies.However,to what extent the genome sequence composition affects variant calling remains unclear.In this study,we identified 63,897 multi-copy sequences(MCSs)with a minimum length of 300 bp,each of which occurs at least twice in the human genome.The 151,749 genomic loci(multi-copy regions,or MCRs)harboring these MCSs account for 1.98% of the genome and are distributed unevenly across chromosomes.MCRs containing the same MCS tend to be located on the same chromosome.Gene Ontology(GO)analyses revealed that 3800 genes whose UTRs or exons overlap with MCRs are enriched for Golgirelated cellular component terms and various enzymatic activities in the GO biological function category.MCRs are also enriched for loci that are sensitive to neocarzinostatin-induced double-strand breaks.Moreover,genetic variants discovered by genome-wide association studies and recorded in dbSNP are significantly underrepresented in MCRs.Using simulated HTS datasets,we show that false variant discovery rates are significantly higher in MCRs than in other genomic regions.These results suggest that extra caution must be taken when identifying genetic variants in the MCRs via HTS technologies.