Transcriptome analysis reveals immune-related genes in tissues of Vibrio anguillarum-infected turbot Scophthalmus maximus

Turbot Scophthalmus maximus is an important mariculture fish species with high economic value.However,the bacterial diseases caused by Vibrio anguillarum infection bring huge economic losses to the turbot aquaculture industry.To understand the immune response of the turbot against V.anguillarum infection and to explore novel immune-related genes,the transcriptome analysis of turbot spleen and gills were conducted after V.anguillarum infection.Differentially expressed genes(DEGs)were identified in spleen and gill of the turbot amounted to 17261 and 16436,respectively.A large number of immunerelated DEGs were enriched in cytokine-cytokine receptor interaction signaling pathway,and the others by the kyoto encyclopedia of genes and genomes(KEGG)enrichment.The gene ontology(GO)classification analysis revealed that V.anguillarum infection had the greatest effect on biological processes and cellular components.Twelve immune-related DEGs were identified in the spleen(cstl.1,egfl6,lamb21,v2rx4,calcr,and gpr78a)and gills(ghra,sh3gl2a,cst12,inhbaa,cxcl8,and il-1b)by heat map.The proteinprotein interaction(PPI)networks were constructed to analyze the immune mechanism.The results demonstrate that the maturation and antigen processing of major histocompatibility complex(MHC)class II molecule,and calcitonin-or adrenomedullin-regulated physiological activity were important events in the immunity of turbot against V.anguillarum infection.In the gills,the protein interactions in TGF-βsignaling pathway,production of inflammatory factors,and endocytosis regulation were most significant.Our research laid a foundation for discovering novel immune-related genes and enriching the knowledge of immune mechanisms of turbot against V.anguillarum infection.

Identification of immune feature genes and intercellular profiles in diabetic cardiomyopathy

BACKGROUND Diabetic cardiomyopathy(DCM)is a multifaceted cardiovascular disorder in which immune dysregulation plays a pivotal role.The immunological molecular mechanisms underlying DCM are poorly understood.AIM To examine the immunological molecular mechanisms of DCM and construct diagnostic and prognostic models of DCM based on immune feature genes(IFGs).METHODS Weighted gene co-expression network analysis along with machine learning methods were employed to pinpoint IFGs within bulk RNA sequencing(RNA-seq)datasets.Single-sample gene set enrichment analysis(ssGSEA)facilitated the analysis of immune cell infiltration.Diagnostic and prognostic models for these IFGs were developed and assessed in a validation cohort.Gene expression in the DCM cell model was confirmed through real time-quantitative polymerase chain reaction and western blotting techniques.Additionally,single-cell RNA-seq data provided deeper insights into cellular profiles and interactions.RESULTS The overlap between 69 differentially expressed genes in the DCM-associated module and 2483 immune genes yielded 7 differentially expressed immune-related genes.Four IFGs showed good diagnostic and prognostic values in the validation cohort:Proenkephalin(Penk)and retinol binding protein 7(Rbp7),which were highly expressed,and glucagon receptor and inhibin subunit alpha,which were expressed at low levels in DCM patients(all area under the curves>0.9).SsGSEA revealed that IFG-related immune cell infiltration primarily involved type 2 T helper cells.High expression of Penk(P<0.0001)and Rbp7(P=0.001)was detected in cardiomyocytes and interstitial cells and further confirmed in a DCM cell model in vitro.Intercellular events and communication analysis revealed abnormal cellular phenotype transformation and signaling communication in DCM,especially between mesenchymal cells and macrophages.CONCLUSION The present study identified Penk and Rbp7 as potential DCM biomarkers,and aberrant mesenchymal-immune cell phenotype communication may be an important aspect of DCM pathogenesis.

WGCNA and LASSO algorithm constructed an immune infiltration-related 5-gene signature and nomogram to improve prognosis prediction of hepatocellular carcinoma

Hepatocellular carcinoma(HCC)is a common immunogenic malignant tumor.Although the new strategies of immunotherapy and targeted therapy have made considerable progress in the treatment of HCC,the 5-year survival rate of patients is still very low.The identification of new prognostic signatures and the exploration of the immune microenvironment are crucial to the optimization and improvement of molecular therapy strategies.We studied the potential clinical benefits of the inflammation regulator miR-93-3p and mined its target genes.Weighted gene coexpression network analysis(WGCNA),univariate and multivariate COX regression and the LASSO COX algorithm are employed to identify prognostic-related genes and construct multi-gene signature-based risk model and nomogram for survival prediction.Support vector machine(SVM)based Cibersort’s deconvolution algorithm and gene set enrichment analysis(GSEA)is used to evaluate the changes in tumor immune microenvironment and pathway differences.The study found the favorable prognostic performance of miR-93-3p and identified 389 prognostic-related target genes.The risk model based on a novel 5-gene signature(cct5,cdk4,cenpa,dtnbp1 and flvcr1)was developed and has prominent prognostic significance in the training cohort(P<0.0001)and validation cohort(P=0.0016).The nomogram constructed by combining the gene signature and the AJCC stage further improves the survival prediction ability of the gene signature.The infiltration level of multiple immune cells(especially T cells,B cells and macrophages)were positively correlated with the expression of prognostic signature.In addition,we found that gene markers of T cells and B cells is monitored and regulated by prognostic signature.Meanwhile,several GSEA pathways related to the immune system are enriched in the high-risk group.In general,we integrated the WGCNA,LASSO COX and SVM algorithms to develop and verify 5-gene signatures and nomograms related to immune infiltration to improve the survival prediction of patients.

Differential Expression of Immune Genes between Body Side Skin and Groin Skin of Aohan Fine Wool Sheep

[Objective] To get major genes for wool traits regulation from immune genes. [Methods] Microarray technology was used to detect differentially expressed immune genes between body side skin （more wool growing） and groin skin （no wool growing） of Aohan fine wool sheep. [Results] 46 immune genes （fold change 〉2.0） were identified and classified, and then 6 of which were selected for QPCR confir- mation. The degree of consistency of the QPCR and microarray results was 66.67%, [Conclusion] Immune privilege may participate in wool growth regulation.

Exploring the interplay of T cell receptor-V gene copy numbers and major histocompatibility complex selection pressure in avian species:Insights into immune system evolution and reproductive investment

Birds,a fascinating and diverse group occupying various habitats worldwide,exhibit a wide range of life-history traits,reproductive methods,and migratory behaviors,all of which influence their immune systems.The association between major histocompatibility complex(MHC)genes and certain ecological factors in response to pathogen selection has been extensively studied;however,the role of the co-working molecule T cell receptor(TCR)remains poorly understood.This study aimed to analyze the copy numbers of TCR-V genes,the selection pressure(ωvalue)on MHC genes using available genomic data,and their potential ecological correlates across 93 species from 13 orders.The study was conducted using the publicly available genome data of birds.Our findings suggested that phylogeny influences the variability in TCR-V gene copy numbers and MHC selection pressure.The phylogenetic generalized least squares regression model revealed that TCR-Vαδcopy number and MHC-I selection pressure were positively associated with body mass.Clutch size was correlated with MHC selection pressure,and Migration was correlated with TCR-Vβcopy number.Further analyses revealed that the TCR-Vβcopy number was positively correlated with MHC-IIB selection pressure,while the TCR-Vγcopy number was negatively correlated with MHC-I peptide-binding region selection pressure.Our findings suggest that TCR-V diversity is significant in adaptive evolution and is related to species’life-history strategies and immunological defenses and provide valuable insights into the mechanisms underlying TCR-V gene duplication and MHC selection in avian species.

Construction of a Full-Length cDNA Library of Solen grandis Dunker and Identification of Defense- and Immune-Related Genes

The basic genetic characteristics, important functional genes, and entire transcriptome of Solen grandis Dunker were investigated by constructing a full-length cDNA library with the ‘switching mechanism at the 5'-end of the RNA transcript'(SMART) technique. Total RNA was isolated from the immune-relevant tissues, gills and hemocytes, using the Trizol reagent, and cDNA fragments were digested with Sfi I before being ligated to the pBluescript II SK* vector. The cDNA library had a titer of 1048 cfu μL-1 and a storage capacity of 1.05×106 cfu. Approximately 98% of the clones in the library were recombinants, and the fragment lengths of insert cDNA ranged from 0.8 kb to 3.0 kb. A total of 2038 expressed sequence tags were successfully sequenced and clustered into 965 unigenes. BLASTN analysis showed that 240 sequences were highly similar to the known genes(E-value < 1e-5; percent identity >80%), accounting for 25% of the total unigenes. According to the Gene Ontology, these unigenes were related to several biological processes, including cell structure, signal transport, protein synthesis, transcription, energy metabolism, and immunity. Fifteen of the identified sequences were related to defense and immunity. The full-length cDNA sequence of HSC70 was obtained. The cDNA library of S. grandis provided a useful resource for future researches of functional genomics related to stress tolerance, immunity, and other physiological activities.

Expression patterns and action analysis of genes associated with physiological responses during rat liver regeneration:Innate immune response

AIM： To study the relationship between innate immune response and liver regeneration （LR） at transcriptional level.METHODS： Genes associated with innate immunity response were obtained by collecting the data from databases and retrieving articles, Gene expression changes in rat regenerating liver were detected by rat genome 230 2.0 array.RESULTS： A total of 85 genes were found to be associated with LR. The initially and totally expressed number of genes at the phases of initiation [0.5-4 h after partial hepatectomy （PH）], transition from GO to G1 （4-6 h after PH）, cell proliferation （6-66 h after PH）, cell differentiation and structure-function reconstruction （66-168 h after PH） was 36, 9, 47, 4 and 36, 26, 78, 50, respectively, illustrating that the associated genes were mainly triggered at the initial phase of LR and worked at different phases. According to their expression similarity, these genes were classified into 5 types： 41 up-regulated, 4 predominantly up-regulated, 26 downregulated, 6 predominantly down-regulated, and 8 approximately up/down-regulated genes, respectively. The expression of these genes was up-regulated 350 times and down-regulated 129 times respectively, demonstrating that the expression of most genes was enhanced while the expression of a small number of genes was decreased during LR. Their time relevance was classified into 14 groups, showing that the cellular physiological and biochemical activities dudng LR were staggered. According to the gene expression patterns,they were classified into 28 types, indicating that the cellular physiological and biochemical activities were diverse and complicated during LR. CONCLUSION： Congenital cellular immunity is enhanced mainly in the forepart, prophase and anaphase of LR while congenital molecular immunity is increased dominantly in the forepart and anaphase of LR. A total of 85 genes associated with LR play an important role in innate immunity.

Comparative profiling of immune genes improves the prognoses of lower grade gliomas

Objective:Lower grade gliomas(LGGs),classified as World Health Organization(WHO)grade II and grade III gliomas,comprise a heterogeneous group with a median survival time ranging from 4–13 years.Accurate prediction of the survival times of LGGs remains a major challenge in clinical practice.Methods:We reviewed the expression data of 865 LGG patients from 5 transcriptomics cohorts.The comparative profile of immune genes was analyzed for signature identification and validation.In-house RNAseq and microarray data from the Chinese Glioma Genome Atlas(CGGA)dataset were used as training and internal validation cohorts,respectively.The samples from The Cancer Genome Atlas(TCGA)and GSE16011 cohorts were used as external validation cohorts,and the real-time PCR of frozen LGG tissue samples(n=36)were used for clinical validation.Results:A total of 2,214 immune genes were subjected to pairwise comparison to generate 2,449,791 immune-related gene pairs(IGPs).A total of 402 IGPs were identified with prognostic values for LGGs.The HOXA9-related and CRH-related scores facilitated identification of patients with different prognoses.An immune signature based on 10 IGPs was constructed to stratify patients into low and high risk groups,exhibiting different clinical outcomes.A nomogram,combining immune signature,1p/19q status,and tumor grade,was able to predict the overall survival(OS)with c-indices of 0.85,0.80,0.80,0.79,and 0.75 in the training,internal validation,external validation,and tissue sample cohorts,respectively.Conclusions:This study was the first to report a comparative profiling of immune genes in large LGG cohorts.A promising individualized immune signature was developed to estimate the survival time for LGG patients.

In Silico analysis and linking of metabolism-related genes with the immune landscape in head and neck squamous cell carcinoma

Metabolic reprogramming and immunologic suppression are two critical characteristics promoting the progression of head and neck squamous cell carcinoma(HNSCC).The integrative analysis of all the metabolismrelated genes(MRGs)in HNSCC is lacking and the interaction between the metabolism and the immune characteristics also requires more exploration to uncover the potential mechanisms.Therefore,this study was designed to establish a prognostic signature based on all the MRGs in HNSCC.Genes of HNSCC samples were available from the TCGA and GEO databases while the MRGs were retrieved from a previous study.Ultimately 4 prognostic MRGs were selected to construct a model possessing robust prognostic value and accuracy in TCGA cohorts.The favorable reproducibility of this model was confirmed in validation cohorts from GEO databases.The risk score calculated by this model was an independent prognostic factor that further classified these HNSCC patients into high-/low-risk groups.GSEA analyses and somatic mutations indicated the low-risk group could activate several anti-tumor pathways and possessed lower TP53 mutation.The results of ESTIMATE,single-sample GSEA,CIBERSORT,and some immune-related molecules analyses suggested the low-risk group exhibited lower metabolic activities and higher immune characteristics.The Spearman correlation test implied most metabolic pathways with tumor-promoting function were negatively correlated with the immune activity,indicating a plausible approach of combining the anti-metabolism and the immunotherapy drugs in the high-risk group to enhance therapeutic effects than applied separately.In conclusion,this prognostic signature linking MRGs with the immune landscape could promote the individualized treatment for HNSCC patients.

Expression patterns and action analysis of genes associated with physiological responses during rat liver regeneration:Cellular immune response

AIM： To study the cellular immune response during rat liver regeneration （LR） at a transcriptional level. METHODS： Genes associated with the cellular immune response were obtained by collecting the data from databases and retrieving articles. Gene expression changes during LR were detected by rat genome 230 2.0 array. RESULTS： A total of 127 genes were found to be associated with LR. The number of initially and totally expressing genes in the initial phase of LR [0.5-4 h after partial hepatectomy （PH）], transition from Go-G, （4-6 h after PH）, cell proliferation （6-66 h after PH）, cell differentiation and structure-function reconstruction （66-168 h after PH） was 54, 11, 34, 3 and 54, 49, 70, 49 respectively, illustrating that the associated genes were mainly triggered at the initiation of LR, and worked at different phases. According to their expression similarity, these genes were classified into 41 up-regulated, 21 predominantly up-regulated, 41 down-regulated, 14 predominantly down-regulated, 10 similarly up-regulated and down-regulated genes, respectively. The total up- and down-regulated expression times were 419 and 274, respectively, demonstrating that the expression of most genes was increased while the expression of a small number of genes was decreased. Their time relevance was classified into 14 groups, showing that the cellular physiological and biochemical activities were staggered during LR. According to the gene expression patterns, they were classified into 21 types, showing the activities were diverse and complicated during LR.CONCLUSION： Antigen processing and presentation are enhanced mainly in the forepart, prophase and anaphase of LR. T-cell activation and antigen elimination are enhanced mainly in the forepart and prophase of LR. A total of 127 genes associated with LR play an important role in cellular immunity.

Prediction of Tumor Microenvironment Characteristics and Treatment Response in Lung Squamous Cell Carcinoma by Pseudogene OR7E47P-related Immune Genes

Objective Pseudogenes are initially regarded as nonfunctional genomic sequences,but some pseudogenes regulate tumor initiation and progression by interacting with other genes to modulate their transcriptional activities.Olfactory receptor family 7 subfamily E member 47 pseudogene(OR7E47P)is expressed broadly in lung tissues and has been identified as a positive regulator in the tumor microenvironment(TME)of lung adenocarcinoma(LUAD).This study aimed to elucidate the correlation between OR7E47P and tumor immunity in lung squamous cell carcinoma(LUSC).Methods Clinical and molecular information from The Cancer Genome Atlas(TCGA)LUSC cohort was used to identify OR7E47P-related immune genes(ORIGs)by weighted gene correlation network analysis(WGCNA).Based on the ORIGs,2 OR7E47P clusters were identified using non-negative matrix factorization(NMF)clustering,and the stability of the clustering was tested by an extreme gradient boosting classifier(XGBoost).LASSO-Cox and stepwise regressions were applied to further select prognostic ORIGs and to construct a predictive model(ORPScore)for immunotherapy.The Botling cohorts and 8 immunotherapy cohorts(the Samstein,Braun,Jung,Gide,IMvigor210,Lauss,Van Allen,and Cho cohorts)were included as independent validation cohorts.Results OR7E47P expression was positively correlated with immune cell infiltration and enrichment of immune-related pathways in LUSC.A total of 57 ORIGs were identified to classify the patients into 2 OR7E47P clusters(Cluster 1 and Cluster 2)with distinct immune,mutation,and stromal programs.Compared to Cluster 1,Cluster 2 had more infiltration by immune and stromal cells,lower mutation rates of driver genes,and higher expression of immune-related proteins.The clustering performed well in the internal and 5 external validation cohorts.Based on the 7 ORIGs(HOPX,STX2,WFS,DUSP22,SLFN13,GGCT,and CCSER2),the ORPScore was constructed to predict the prognosis and the treatment response.In addition,the ORPScore was a better prognostic factor and correlated positively with the immunotherapeutic response in cancer patients.The area under the curve values ranged from 0.584 to 0.805 in the 6 independent immunotherapy cohorts.Conclusion Our study suggests a significant correlation between OR7E47P and TME modulation in LUSC.ORIGs can be applied to molecularly stratify patients,and the ORPScore may serve as a biomarker for clinical decision-making regarding individualized prognostication and immunotherapy.

Screening of Postpartum Depression Diagnostic Markers Based on Immune-Related Genes and Immune Infiltration

Background:Postpartum depression(PPD)is a mild to severe non-psychotic depressive episode,one of the main factors leading to pregnancy-related morbidity and mortality,and a mental disorder that has not been fully diagnosed and treated.Compared with women without polycystic ovary syndrome,women with polycystic ovary syndrome are more likely to have a variety of pregnancy complications,including PPD.However,there is currently limited research on whether polycystic ovary syndrome is related to anxiety and depression during pregnancy,and whether this increases the risk of postpartum depression in women.Study design:The GSE10558 data set gene expression profile matrix was used for PPD expression profiles from Gene Expression Synthesis(GEO).The differentially expressed genes were selected and analyzed.Perform gene ontology(GO)enrichment and gene set variation analysis(GSVA)for annotation,visualization,and integrated discovery.At the same time,CIBERSORT and ESTIMATE were used to analyze the immune infiltration situation of the GSE10558 expression profile matrix,including the immune infiltration pattern of ovarian samples,and construct the immune cell infiltration(ICI)score.Then we screened the differentially expressed genes(DEGs)clustered with three groups of immune subtypes,and constructed a protein-protein interaction(PPI)and mRNA-miRNA-TF molecular interaction network.And further predicted the drug target of the hub gene and the target of small molecule compounds,and constructed a network.Based on the intersection of the phenotypic gene set,the pivot gene was identified.Finally,evaluate the expression differences of Hub genes between the data set groups,and generate receiver operating characteristic(ROC)curves to verify the diagnostic value of differentially expressed genes(DEG).Finally,genes with high area under the curve(AUC)values are validated.Results:We analyzed 222 DEGs with statistically significant differences in the GSE10558 data set by bioinformatics methods,of which 18 DEGs have significant differences.GO analysis showed that most of the 18 significantly differentially expressed genes were rich in receptor ligand activity and cytokine receptor binding.It is worth noting that these genes are also enriched in functional areas related to immune inflammatory response and immune cell regulation.The GSVA package was used for GSVA analysis,and the results showed that it was significantly enriched in growth factor binding and other aspects.And according to the ssGSEA analysis to obtain immune clustering groupings,the DEGs found in the high,medium,and low immune score groups are mainly enriched in immune inflammatory response and immune cell regulation through GO analysis.CIBERSORT analysis found that there are significant differences in memory B cells of 22 types of immune cells in ovarian samples.By mining the phenotypic gene set,the DEGs that are significantly related to PPD are intersected respectively,and four overlapping genes APOA1,PLN,PRKCZ,and TRPV2 are obtained as the most important pivot genes.We also use box plots to show the expression differences between tissue samples.The results show that there are significant differences in expression of these genes between groups,which may serve as new potential targets for the diagnosis and treatment of PPD.Subsequently,the ROC curve analysis of the four APOA1,PLN,PRKCZ,and TRPV2 that are significantly related to PPD showed significant prediction accuracy,and all AUCs were above 0.9,indicating that these new biomarkers can be further developed in PPD Research.Conclusion:The molecular markers APOA1,PLN,PRKCZ and TRPV2,which are closely related to immune cell function,can efficiently identify PPD.A diagnostic prediction model composed of these four immune function-related genes can distinguish PPD patients with different immune status.This discovery contributes to a more comprehensive understanding of the molecular mechanisms driving the occurrence and development of PPD,which is critical for improving the diagnosis,prognosis and treatment of this disease.

Expression Profile of Immune-Associated Genes in the Kidney of Cultured Large Yellow Croaker Larimichthys crocea in the East China Sea Area

To explore the effect of environment conditions on immune activity of fish, eight immune-associated genes responsible for innate immunity were selected from the Gen Bank, i.e. Pgrn-a, Ifit2, P-hepcidin, Lect2, β2m, Irf1, Il25 and Hsp96, and the m RNA expressions of them in the kidney of cultured large yellow croaker Larimichthys crocea in different sea areas in the East China Sea were examined with q PCR techniques. In the contrasts of immune-associated gene expression between areas and populations, significant differences were found, expression levels of these immune-associated genes were lower in the clear water area than in the poor water quantity area, and lower in May than in October. MY was more sensitive to environmental factors than DQ, which was coincident with the water quality in the culturing areas. Differential analyses of the expression levels of these immune-associated genes showed that significant up-regulation could be triggered by poor environmental factors. The expression patterns indicated that the expression levels of these genes were sensitive to ecological changes, thereby the immune-associated genes, especially Pgrn-a, Ifit2, β2m, Il25 and Hsp96, might serve as immediate and sensitive indicators of population immunologic vigor and ecosystem health. But the expression of immunity-associated genes at the level of gene transcription is highly influenced by multiple factors, and the exact causes or influencing factors of the up-regulation or down-regulation of these genes still need further thorough investigation.

Predictive model using four ferroptosis-related genes accurately predicts gastric cancer prognosis

BACKGROUND Gastric cancer(GC)is a common malignancy of the digestive system.According to global 2018 cancer data,GC has the fifth-highest incidence and the thirdhighest fatality rate among malignant tumors.More than 60%of GC are linked to infection with Helicobacter pylori(H.pylori),a gram-negative,active,microaerophilic,and helical bacterium.This parasite induces GC by producing toxic factors,such as cytotoxin-related gene A,vacuolar cytotoxin A,and outer membrane proteins.Ferroptosis,or iron-dependent programmed cell death,has been linked to GC,although there has been little research on the link between H.pylori infection-related GC and ferroptosis.AIM To identify coregulated differentially expressed genes among ferroptosis-related genes(FRGs)in GC patients and develop a ferroptosis-related prognostic model with discrimination ability.METHODS Gene expression profiles of GC patients and those with H.pylori-associated GC were obtained from The Cancer Genome Atlas and Gene Expression Omnibus(GEO)databases.The FRGs were acquired from the FerrDb database.A ferroptosis-related gene prognostic index(FRGPI)was created using least absolute shrinkage and selection operator–Cox regression.The predictive ability of the FRGPI was validated in the GEO cohort.Finally,we verified the expression of the hub genes and the activity of the ferroptosis inducer FIN56 in GC cell lines and tissues.RESULTS Four hub genes were identified(NOX4,MTCH1,GABARAPL2,and SLC2A3)and shown to accurately predict GC and H.pylori-associated GC.The FRGPI based on the hub genes could independently predict GC patient survival;GC patients in the high-risk group had considerably worse overall survival than did those in the low-risk group.The FRGPI was a significant predictor of GC prognosis and was strongly correlated with disease progression.Moreover,the gene expression levels of common immune checkpoint proteins dramatically increased in the highrisk subgroup of the FRGPI cohort.The hub genes were also confirmed to be highly overexpressed in GC cell lines and tissues and were found to be primarily localized at the cell membrane.The ferroptosis inducer FIN56 inhibited GC cell proliferation in a dose-dependent manner.CONCLUSION In this study,we developed a predictive model based on four FRGs that can accurately predict the prognosis of GC patients and the efficacy of immunotherapy in this population.

Association of polymorphisms of Nramp1 gene with immune function and production performance of large white pig

The present research was designed to study the association of polymorphism of natural resistance-associated macrophage proteinl （Nrampl） with some immune function and the production performance in Large White pig. The PCR-RFLP technique was applied to analyze the correlation between the polymorphisms of Nrampl gene and immune function [value of Polymorphonuclear Leukocytes （PMN） obtained by Nitroblue Tetrazolium （NBT） Reduction and effect of Cytotoxin in Monocyte] and production performance in 165 Large White pigs. The results showed that there was one Nde I restriction locus in Large White pig, and both values of PMN by NBT Reduction and effect of Cytotoxin in Monocyte in genotype BB were higher than those in genotype AB （P〈0.05）. Simultaneously, the weight of 180-day-old pigs with genotype BB was higher than that with genotype AB （P〈0.05）. The results indicated that there was a significant correlation between different genotypes of Nrampl gene and Immune function and production performance, and it can be regarded as a candidate gene of disease resistance. All these results provide valuable reference to further studies of pig disease resistance.

Helicobacter pylori infection: Host immune response, implications on gene expression and microRNAs

Helicobacter pylori(H. pylori) infection is the most common bacterial infection worldwide. Persistent infection of the gastric mucosa leads to inflammatory processes and may remain silent for decades or progress causing more severe diseases, such as gastric adenocarcinoma. The clinical consequences of H. pylori infection are determined by multiple factors, including host genetic predisposition, gene regulation, environmental factors and heterogeneity of H. pylori virulence factors. After decades of studies of this successful relationship between pathogen and human host, various mechanisms have been elucidated. In this review, we have made an introduction on H. pylori infection and its virulence factors, and focused mainly on modulation of host immune response triggered by bacteria, changes in the pattern of gene expression in H. pylori-infected gastric mucosa, with activation of gene transcription involved in defense mechanisms, inflammatory and immunological response, cell proliferation and apoptosis. We also highlighted the role of bacteria eradication on gene expression levels. In addition, we addressed the recent involvement of different microRNAs in precancerous lesions, gastric cancer, and inflammatory processes induced by bacteria. New discoveries in this field may allow a better understanding of the role of major factors involved in the pathogenic mechanisms of H. pylori.

Identification of an immune-related gene-based signature to predict prognosis of patients with gastric cancer

BACKGROUND Gastric cancer(GC)is the most commonly diagnosed malignancy worldwide.Increasing evidence suggests that it is necessary to further explore genetic and immunological characteristics of GC.AIM To construct an immune-related gene(IRG)signature for accurately predicting the prognosis of patients with GC.METHODS Differentially expressed genes(DEGs)between 375 gastric cancer tissues and 32 normal adjacent tissues were obtained from The Cancer Genome Atlas(TCGA)GDC data portal.Then,differentially expressed IRGs from the ImmPort database were identified for GC.Cox univariate survival analysis was used to screen survival-related IRGs.Differentially expressed survival-related IRGs were considered as hub IRGs.Genetic mutations of hub IRGs were analyzed.Then,hub IRGs were selected to conduct a prognostic signature.Receiver operating characteristic(ROC)curve analysis was used to evaluate the prognostic performance of the signature.The correlation of the signature with clinical features and tumor-infiltrating immune cells was analyzed.RESULTS Among all DEGs,70 hub IRGs were obtained for GC.The deletions and amplifications were the two most common types of genetic mutations of hub IRGs.A prognostic signature was identified,consisting of ten hub IRGs(including S100A12,DEFB126,KAL1,APOH,CGB5,GRP,GLP2R,LGR6,PTGER3,and CTLA4).This prognostic signature could accurately distinguish patients into highand low-risk groups,and overall survival analysis showed that high risk patients had shortened survival time than low risk patients(P<0.0001).The area under curve of the ROC of the signature was 0.761,suggesting that the prognostic signature had a high sensitivity and accuracy.Multivariate regression analysis demonstrated that the prognostic signature could become an independent prognostic predictor for GC after adjustment for other clinical features.Furthermore,we found that the prognostic signature was significantly correlated with macrophage infiltration.CONCLUSION Our study proposed an immune-related prognostic signature for GC,which could help develop treatment strategies for patients with GC in the future.

Effects of antioxidant‑rich Lactiplantibacillus plantarum inoculated alfalfa silage on rumen fermentation, antioxidant and immunity status, and mammary gland gene expression in dairy goats

Background Milk synthesis in lactating animals demands high energy metabolism,which results in an increased production of reactive oxygen metabolites(ROM)causing an imbalance between oxidants and antioxidants thereby inducing oxidative stress(OS)on the animals.To mitigate OS and postpartum disorders in dairy goats and gain insight into the impact of dietary choices on redox status during lactation,a feeding trial was conducted using alfalfa silage inoculated with a high-antioxidant strain of Lactiplantibacillus plantarum.Methods Twenty-four Guanzhong dairy goats(38.1±1.20 kg)were randomly assigned to two dietary treatments:one containing silage inoculated with L.plantarum MTD/1(RSMTD-1),and the other containing silage inoculated with high antioxidant activity L.plantarum 24-7(ES24-7).Results ES24-7-inoculated silage exhibited better fermentation quality and antioxidant activity compared to RSMTD-1.The ES24-7 diet elevated the total antioxidant capacity(T-AOC),superoxide dismutase(SOD),glutathione peroxi-dase(GSH-Px),and catalase(CAT)activities in milk,serum,and feces of lactating goats(with the exception of T-AOC in milk).Additionally,the diet containing ES24-7 inoculated silage enhanced casein yield,milk free fatty acid(FFA)content,and vitamin A level in the goats’milk.Furthermore,an increase of immunoglobulin(Ig)A,IgG,IgM,inter-leukin(IL)-4,and IL-10 concentrations were observed,coupled with a reduction in IL-1β,IL-2,IL-6,interferon(IFN)-γ,and tumor necrosis factor(TNF)-αconcentrations in the serum of lactating goats fed ES24-7.Higher concentrations of total volatile fatty acid(VFA),acetate,and propionate were observed in the rumen fluid of dairy goats fed ES24-7 inoculated silage.Moreover,the diet containing ES24-7 inoculated silage significantly upregulated the expression of nuclear factor erythroid 2 like 2(NFE2L2),beta-carotene oxygenase 1(BCO1),SOD1,SOD2,SOD3,GPX2,CAT,glu-tathione-disulfide reductase(GSR),and heme oxygenase 1(HMOX1)genes in the mammary gland,while decreased the levels of NADPH oxidase 4(NOX4),TNF,and interferon gamma(IFNG).Conclusions These findings indicated that feeding L.plantarum 24-7 inoculated alfalfa silage not only improved rumen fermentation and milk quality in lactating dairy goats but also boosted their immunity and antioxidant status by modulating the expression of several genes related to antioxidant and inflammation in the mammary gland.

Autoimmune hepatitis in genetic syndromes:A literature review

Genetic syndromes represent relevant and rare diseases.These conditions include a large amount of epidemiological,pathogenetic and clinical features.However,a systematic approach to genetic syndromes is often prevented by the rareness of these diseases.So,although clinical features are usually precisely defined,nowadays more uncommon associations between genetic syndromes and internal medicine related diseases have been insufficiently studied.Autoimmune hepatitis(AIH)is a chronic liver disease caused by loss of tolerance to hepatocyte-specific auto-antigens.Conversely,a better knowledge about specific genetic syndromes in which AIH is more frequent could be important in the clinical management of patients,both for an early diagnosis and for a prompt therapy.Furthermore,a systematic approach could explain if onset,clinical course,and response to treatment of AIH are typical for specific genetic syndromes.We took in consideration all the scientific articles reported in PubMed in the last 10 years,from 2010 to 2020.The purpose of this review is to explore the prevalence of AIH in genetic syndrome,but also to suggest new classification,that could be useful for pathogenetic hypothesis and clinical approach to genetic syndrome.From the 139 publications selected using keywords“autoimmune hepatitis”and“genetic syndrome”,30 papers(21.6%)respected the chosen inclusion criteria,reporting the association between AIH in patients with a genetic syndrome.We have collected in all 47 patients with AIH and genetic syndrome,and with median age of 12.6-year-old.We suggest that when a patient presents a clinical picture of cryptogenic chronic hepatitis,that is unexplained,it is useful to explore differential diagnosis of AIH associated with genetic syndrome.Given the clinical relevance of this topic,further reports are needed to demonstrate our hypothesis and collect new evidence in this field.

TfR1 Extensively Regulates the Expression of Genes Associated with Ion Transport and Immunity

Transferrin receptor 1(TfR1),encoded by the TFRC gene,is the gatekeeper of cellular iron uptake for cells.A variety of molecular mechanisms are at work to tightly regulate TfR1 expression,and abnormal TfR1 expression has been associated with various diseases.In the current study,to determine the regulation pattern of TfR1,we cloned and overexpressed the human TFRC gene in HeLa cells.RNA-sequencing(RNA-seq)was used to analyze the global transcript levels in overexpressed(OE)and normal control(NC)samples.A total of 1669 differentially expressed genes(DEGs)were identified between OE and NC.Gene ontology(GO)analysis was carried out to explore the functions of the DEGs.It was found that multiple DEGs were associated with ion transport and immunity.Moreover,the regulatory network was constructed on basis of DEGs associated with ion transport and immunity,highlighting that TFRC was the node gene of the network.These results together suggested that precisely controlled TfR1 expression might be not only essential for iron homeostasis,but also globally important for cell physiology,including ion transport and immunity.