Analysis Of Target Genes Research Articles

Ovarian cancer classification and prognosis assessment model based on prognostic target genes in key microRNA-target gene networks.

The present study was designed to screen key microRNA (miRNA)-target gene networks for ovarian cancer (OC) and to classify and construct a risk assessment system for OC based on the target genes. OC sample data of The Cancer Genome Atlas dataset and GSE26193, GSE30161, GSE63885 and GSE9891 datasets were retrospectively collected. Pearson correlation analysis and targeted analysis of miRNA and target gene were performed to screen key miRNA-target gene networks. Target genes associated with the prognosis of OC were screened from key miRNA-target gene networks for consensus clustering and least absolute shrinkage and selection operator-based regression machine learning analysis of OC samples. Twenty target genes of 2651 key miRNA-target gene pairs had significant prognostic correlation in each OC cohort, and OC was divided into three clusters. There were differences in prognostic outcome, biological pathways, immune cell abundance and susceptibility to immune checkpoint blockade (ICB) therapy and anti-tumor drugs among the three molecular clusters. S2 exhibited the least advantage in prognosis and immunotherapy response rate in the three molecular clusters, and the pathways regulating immunity, hypoxia, metabolism and promoting malignant progression of cancer, as well as infiltrating immune and stromal cell population abundance, were the highest in this cluster. An eight-target gene prognostic model was created, and the risk index obtained by using this model not only significantly distinguished the immune characteristics of the sample, but also predicted the response of the sample to ICB treatment, and helped to screen 36 potential anti-OC drugs. The present study provides a classification strategy for OC based on prognostic target genes in key miRNA-target gene networks, and creates a risk assessment system for predicting prognosis and response to ICB therapy in OC patients, providing molecular basis for prognosis and precise treatment of OC.

Comparative Analysis of miRNA Expression Profiles under Salt Stress in Wheat.

Salt stress is one of the important environmental factors that inhibit the normal growth and development of plants. Plants have evolved various mechanisms, including signal transduction regulation, physiological regulation, and gene transcription regulation, to adapt to environmental stress. MicroRNAs (miRNAs) play a role in regulating mRNA expression. Nevertheless, miRNAs related to salt stress are rarely reported in bread wheat (Triticum aestivum L.). In this study, using high-throughput sequencing, we analyzed the miRNA expression profile of wheat under salt stress. We identified 360 conserved and 859 novel miRNAs, of which 49 showed considerable changes in transcription levels after salt treatment. Among them, 25 were dramatically upregulated and 24 were downregulated. Using real-time quantitative PCR, we detected significant changes in the relative expression of miRNAs, and the results showed the same trend as the sequencing data. In the salt-treated group, miR109 had a higher expression level, while miR60 and miR202 had lower expression levels. Furthermore, 21 miRNAs with significant changes were selected from the differentially expressed miRNAs, and 1023 candidate target genes were obtained through the prediction of the website psRNATarget. Gene ontology (GO) analysis of the candidate target genes showed that the expressed miRNA may be involved in the response to biological processes, molecular functions, and cellular components. In addition, the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis confirmed their important functions in RNA degradation, metabolic pathways, synthesis pathways, peroxisome, environmental adaptation, global and overview maps, and stress adaptation and the MAPK signal pathway. These findings provide a basis for further exploring the function of miRNA in wheat salt tolerance.

Abstract P3036: Circular RNA Decoys Targeting MiR-146a As A Promising Therapeutic Strategy To Improve Vascular Regeneration

Heart failure and cardiac remodeling following myocardial infarction (MI) depend on capillary density and neovascularization. MicroRNAs (miRNAs), which are small non-coding RNAs that modulate gene expression, play a major role in the pathogenesis of these conditions. Inhibition of these pathways through miRNA sponges, such as antagomiRs or circular decoys (circRNAs), might represent a therapeutic approach for MI. Here, we evaluate the role of miR-146a and present a promising treatment strategy using synthetically designed circular decoys. miRNA-146a expression was analyzed in human vascular cells and mice tissue following either myocardial infarction or hind limb ischemia. CircRNAs were synthetically designed and evaluated. Methods to characterize the effect of inhibition of miR-146a included the quantification of the target gene and protein expression and analysis of cellular functions.miR-146a was significantly upregulated in vitro in senescent cells ( P <0.05) and in vivo in the ischemic myocardium following ligation of the LAD ( P <0.001) in C57BL/6 mice. A circular RNA decoy targeting miR-146a was successfully designed and transfected into vascular cells in vitro . The following analysis showed a significant target upregulation for NOX4, KLF4, and TRAF6 ( P <0.001) after circRNA transfection, also compared to antagomiR transfected cells. Functional analysis revealed improved migration and proliferation capacity in vascular endothelial cells ( P <0.05). First results indicate that inhibition of the upregulation of endothelial miR-146a in mice results in significantly enhanced angiogenesis and revascularization ( P <0.05) accompanied by a significantly reduced myocardial infarct size ( P <0.01) and preserved cardiac function post-MI ( P <0.01). In summary, we could identify miR-146a as a critical regulator of angiogenesis and vascular regeneration, and present a first strategy for angiogenic therapy of ischemic diseases. However, in vitro analysis showed a higher efficiency of circRNAs in the context of inhibiting miR-146a functions in vascular cells. CircRNAs are more stable and more efficient when transfected, compared to antagomiRs, and might be a better alternative and a realistic approach for future clinical studies.

SUFU promotes GLI activity in a Hedgehog-independent manner in pancreatic cancer.

Aberrant activation of the Hedgehog (Hh) signaling pathway, through which the GLI family of transcription factors (TF) is stimulated, is commonly observed in cancer cells. One well-established mechanism of this increased activity is through the inactivation of Suppressor of Fused (SUFU), a negative regulator of the Hh pathway. Relief from negative regulation by SUFU facilitates GLI activity and induction of target gene expression. Here, we demonstrate a novel role for SUFU as a promoter of GLI activity in pancreatic ductal adenocarcinoma (PDAC). In non-ciliated PDAC cells unresponsive to Smoothened agonism, SUFU overexpression increases GLI transcriptional activity. Conversely, knockdown (KD) of SUFU reduces the activity of GLI in PDAC cells. Through array PCR analysis of GLI target genes, we identified BCL2 among the top candidates downregulated by SUFU KD. We demonstrate that SUFU KD results in reduced PDAC cell viability, and overexpression of BCL2 partially rescues the effect of reduced cell viability by SUFU KD. Further analysis using as a model GLI1, a major TF activator of the GLI family in PDAC cells, shows the interaction of SUFU and GLI1 in the nucleus through previously characterized domains. ChIP assay shows binding of both SUFU and GLI1 at the promoter of BCL2 in PDAC cells. Finally, we demonstrate that SUFU promotes GLI1 activity without affecting its protein stability. Through our findings, we propose a novel role of SUFU as a positive regulator of GLI1 in PDAC, adding a new mechanism of Hh/GLI signaling pathway regulation in cancer cells.

Development of reference genes for RT-qPCR analysis of gene expression in Pleurotus pulmonarius for biotechnological applications

Jatropha curcas is an oilseed crop with biorefinery applications. Whilst cake generated following oil extraction offers potential as a protein source for animal feed, inactivation of toxic phorbol esters present in the material is necessary. Pleurotus pulmonarius is a detoxifying agent for jatropha cake with additional potential as animal feed, edible mushroom and for enzyme production. For the characterization of fungal genes involved in phorbol ester degradation, together with other industrial applications, reverse transcription-quantitative PCR (RT-qPCR) is a tool that enables accurate quantification of gene expression. For this, reliable analysis requires reference genes for normalization of mRNA levels validated under conditions employed for target genes. The stability of potential reference genes β-TUB, ACTIN, GAPDH, PHOS, EF1α, TRPHO, LAC, MNP3, MYP and VP were evaluated following growth of P. pulmonarius on toxic, non-toxic jatropha cake and a combined treatment, respectively. NormFinder and geNorm algorithms for expression stability analysis identified PHOS, EF1α and MNP3 as appropriate for normalizing gene expression. Reference gene combinations contrasting in ranking were compared following normalization of relative expression of the CHU_2040 gene, encoding an esterase enzyme potentially involved in phorbol ester degradation. The reference genes for P. pulmonarius will facilitate the elucidation of mechanisms involved in detoxification of phorbol esters as well as analysis of target genes for application in biorefinery models.

Identification of extracellular vesicle microRNA signatures specifically linked to inflammatory and metabolic mechanisms in obesity-associated low type-2 asthma.

Plasma extracellular vesicles (EVs) represent a vital source of molecular information about health and disease states. Due to their heterogenous cellular sources, EVs and their cargo may predict specific pathomechanisms behind disease phenotypes. Here we aimed to utilize EV microRNA (miRNA) signatures to gain new insights into underlying molecular mechanisms of obesity-associated low type-2 asthma. Obese low type-2 asthma (OA) and non-obese low type-2 asthma (NOA) patients were selected from an asthma cohort conjointly with healthy controls. Plasma EVs were isolated and characterised by nanoparticle tracking analysis. EV-associated small RNAs were extracted, sequenced and bioinformatically analysed. Based on EV miRNA expression profiles, a clear distinction between the three study groups could be established using a principal component analysis. Integrative pathway analysis of potential target genes of the differentially expressed miRNAs revealed inflammatory cytokines (e.g., interleukin-6, transforming growth factor-beta, interferons) and metabolic factors (e.g., insulin, leptin) signalling pathways to be specifically associated with OA. The miR-17-92 and miR-106a-363 clusters were significantly enriched only in OA. These miRNA clusters exhibited discrete bivariate correlations with several key laboratory (e.g., C-reactive protein) and lung function parameters. Plasma EV miRNA signatures mirrored blood-derived CD4+ T-cell transcriptome data, but achieved an even higher sensitivity in identifying specifically affected biological pathways. The identified plasma EV miRNA signatures and particularly the miR-17-92 and -106a-363 clusters were capable to disentangle specific mechanisms of the obesity-associated low type-2 asthma phenotype, which may serve as basis for stratified treatment development.

Circulating microRNAs predict recurrence and death following venous thromboembolism

BackgroundRecurrent events frequently occur after venous thromboembolism (VTE) and remain difficult to predict based on established genetic, clinical, and proteomic contributors. The role of circulating microRNAs (miRNAs) has yet to be explored in detail. ObjectivesTo identify circulating miRNAs predictive of recurrent VTE or death, and to interpret their mechanistic involvement. MethodsData from 181 participants of a cohort study of acute VTE and 302 individuals with a history of VTE from a population-based cohort were investigated. Next-generation sequencing was performed on EDTA plasma samples to detect circulating miRNAs. The endpoint of interest was recurrent VTE or death. Penalized regression was applied to identify an outcome-relevant miRNA signature, and results were validated in the population-based cohort. The involvement of miRNAs in coregulatory networks was assessed using principal component analysis, and the associated clinical and molecular phenotypes were investigated. Mechanistic insights were obtained from target gene and pathway enrichment analyses. ResultsA total of 1950 miRNAs were detected across cohorts after postprocessing. In the discovery cohort, 50 miRNAs were associated with recurrent VTE or death (cross-validated C-index, 0.65). A weighted miRNA score predicted outcome over an 8-year follow-up period (HRSD, 2.39; 95% CI, 1.98-2.88; P < .0001). The independent validation cohort validated 20 miRNAs (ORSD for score, 3.47; 95% CI, 2.37-5.07; P < .0001; cross-validated-area under the curve, 0.61). Principal component analysis revealed 5 miRNA networks with distinct relationships to clinical phenotype and outcome. Mapping of target genes indicated regulation via transcription factors and kinases involved in signaling pathways associated with fibrinolysis. ConclusionCirculating miRNAs predicted the risk of recurrence or death after VTE over several years, both in the acute and chronic phases.

Bioinformatics analysis and prediction of Alzheimer's disease and alcohol dependence based on Ferroptosis-related genes.

Alzheimer's disease (AD) is a neurodegenerative disease whose origins have not been universally accepted. Numerous studies have demonstrated the relationship between AD and alcohol dependence; however, few studies have combined the origins of AD, alcohol dependence, and programmed cell death (PCD) to analyze the mechanistic relationship between the development of this pair of diseases. We demonstrated in previous studies the relationship between psychiatric disorders and PCD, and in the same concerning neurodegeneration-related AD, we found an interesting link with the Ferroptosis pathway. In the present study, we explored the bioinformatic interactions between AD, alcohol dependence, and Ferroptosis and tried to elucidate and predict the development of AD from this aspect. We selected the Alzheimer's disease dataset GSE118553 and alcohol dependence dataset GSE44456 from the Gene Expression Omnibus (GEO) database. Ferroptosis-related genes were gathered through Gene Set Enrichment Analysis (GSEA), Kyoto Encyclopedia of Genes and Genomes (KEGG), and relevant literature, resulting in a total of 88 related genes. For the AD and alcohol dependence datasets, we conducted Limma analysis to identify differentially expressed genes (DEGs) and performed functional enrichment analysis on the intersection set. Furthermore, we used ferroptosis-related genes and the DEGs to perform machine learning crossover analysis, employing Least Absolute Shrinkage and Selection Operator (LASSO) regression to identify candidate immune-related central genes. This analysis was also used to construct protein-protein interaction networks (PPI) and artificial neural networks (ANN), as well as to plot receiver operating characteristic (ROC) curves for diagnosing AD and alcohol dependence. We analyzed immune cell infiltration to explore the role of immune cell dysregulation in AD. Subsequently, we conducted consensus clustering analysis of AD using three relevant candidate gene models and examined the immune microenvironment and functional pathways between different subgroups. Finally, we generated a network of gene-gene interactions and miRNA-gene interactions using Networkanalyst. The crossover of AD and alcohol dependence DEG contains 278 genes, and functional enrichment analysis showed that both AD and alcohol dependence were strongly correlated with Ferroptosis, and then crossed them with Ferroptosis-related genes to obtain seven genes. Three candidate genes were finally identified by machine learning to build a diagnostic prediction model. After validation by ANN and PPI analysis, ROC curves were plotted to assess the diagnostic value of AD and alcohol dependence. The results showed a high diagnostic value of the predictive model. In the immune infiltration analysis, functional metabolism and immune microenvironment of AD patients were significantly associated with Ferroptosis. Finally, analysis of target genes and miRNA-gene interaction networks showed that hsa-mir-34a-5p and has-mir-106b-5p could simultaneously regulate the expression of both CYBB and ACSL4. We obtained a diagnostic prediction model with good effect by comprehensive analysis, and validation of ROC in AD and alcohol dependence data sets showed good diagnostic, predictive value for both AD (AUC 0. 75, CI 0.91-0.60), and alcohol dependence (AUC 0.81, CI 0.95-0.68). In the consensus clustering grouping, we identified variability in the metabolic and immune microenvironment between subgroups as a likely cause of the different prognosis, which was all related to Ferroptosis function. Finally, we discovered that hsa-mir-34a-5p and has-mir-106b-5p could simultaneously regulate the expression of both CYBB and ACSL4.

Microbiological Analysis of Pseudomonas Aeruginosa and Staphylococcus Aureus Strains Isolated From Chronic Wounds

Background: Wounds are classified as acute and chronic according to their clinical course. Although chronic wounds are rare, they can lead to death due to delays in healing. In both types of wounds, colonization with gram positive and gram negative bacteria can be observed. The diagnosis of microorganisms and antibiotic susceptibility profiles are known to be very important in treatment. Material and Method: Swabs were taken from patients diagnosed with chronic wounds in our hospital. The samples were subjected to isolation and identification methods for microbiological analysis. Phenotypic antibiotic susceptibility analysis of each isolate was performed. Target gene analysis was performed for Staphylococcus aureus and Pseudomonas aeruginosa strains. Discussion: Acute and chronic wound wounds can cause significant health problems and even death. Especially chronic wounds may cause sepsis due to their delayed healing. Wounds can be colonized with hospital and community-acquired bacteria. Wounds can also be colonized with both gram-positive and gram-negative bacteria. In our study, colonization with S. aureus and P. aeruginosa was more common. Males were more susceptible than females. Conclusion: The most frequently isolated strains from patients with chronic wounds were S. aureus and P. aeruginosa. These strains were found to have multiple drug resistance. It was observed that strains with resistance genes posed a serious risk. A good understanding of the profiles of hospital and community-acquired wounds is very important in terms of establishing the correct treatment processes.

Evaluation of droplet digital qRT-PCR (dd qRT-PCR) for quantification of SARS CoV-2 RNA in stool and urine specimens of COVID-19 patients.

There have been a few reports of viral load detection in stool and urine samples of patients with coronavirus disease 2019 (COVID-19), and the transmission of the virus through faecal oral route. For clinical diagnosis and treatment, the widely used reverse transcription-polymerase chain reaction (qRT-PCR) method has some limitations. The aim of our study to assess the presence and concentration of SARS CoV-2 RNA in stool and urine samples from COVID-19 patients with mild, moderate, and severe disease, we compared a traditional qRT-PCR approach with a ddPCR. ddPCR and qRT-PCR-based target gene analysis were performed on 107 COVID-19-confirmed patients paired samples (N1 and N2). The MagMax magnetic beads base method was used to isolate RNA. Real-time qRT-PCR and dd PCR were performed on all patients. The average cycle threshold (Ct) of qRT-PCR was highly correlated with the average copy number of 327.10 copies/l analyzed in ddPCR. In ddPCR, urine samples showed 27.1% positivity while for stool it was 100%. This study's findings not only show that SARS CoV-2 is present in urine and faeces, but also suggest that low concentrations of the viral target ddPCR make it easier to identify positive samples and help resolve for cases of inconclusive diagnosis.

Identification and characterization of transcribed enhancers during cerebellar development through enhancer RNA analysis

BackgroundThe development of the brain requires precise coordination of molecular processes across many cell-types. Underpinning these events are gene expression programs which require intricate regulation by non-coding regulatory sequences known as enhancers. In the context of the developing brain, transcribed enhancers (TEs) regulate temporally-specific expression of genes critical for cell identity and differentiation. Transcription of non-coding RNAs at active enhancer sequences, known as enhancer RNAs (eRNAs), is tightly associated with enhancer activity and has been correlated with target gene expression. TEs have been characterized in a multitude of developing tissues, however their regulatory role has yet to be described in the context of embryonic and early postnatal brain development. In this study, eRNA transcription was analyzed to identify TEs active during cerebellar development, as a proxy for the developing brain. Cap Analysis of Gene Expression followed by sequencing (CAGE-seq) was conducted at 12 stages throughout embryonic and early postnatal cerebellar development.ResultsTemporal analysis of eRNA transcription identified clusters of TEs that peak in activity during either embryonic or postnatal times, highlighting their importance for temporally specific developmental events. Functional analysis of putative target genes identified molecular mechanisms under TE regulation revealing that TEs regulate genes involved in biological processes specific to neurons. We validate enhancer activity using in situ hybridization of eRNA expression from TEs predicted to regulate Nfib, a gene critical for cerebellar granule cell differentiation.ConclusionsThe results of this analysis provide a valuable dataset for the identification of cerebellar enhancers and provide insight into the molecular mechanisms critical for brain development under TE regulation. This dataset is shared with the community through an online resource (https://goldowitzlab.shinyapps.io/trans-enh-app/).

Aberrant AHRR, ADAMTS2 and FAM184 DNA Methylation: Candidate Biomarkers in the Oral Rinse of Heavy Smokers.

To identify DNA methylation patterns of heavy smokers in oral rinse samples. Genome-wide DNA methylation data was imported from Gene Expression Omnibus GSE70977 using the GEOquery package. Two independent sets were analyzed: (a) 71 epigenomes of cancer-free subjects (heavy smokers n = 37 vs. non-smokers n = 31); for concordance assessment (b) 139 oral-cancer patients' epigenomes (heavy smokers n = 92 vs. non-smokers n = 47). Differential DNA methylation for CpG positions and at the regional level was determined using Limma and DMRcate Bioconductor packages. The linear model included sex, age, and alcohol consumption. The statistical threshold was set to p < 0.05. Functional gene prioritization analysis was performed for gene-targeted analysis. In individuals without cancer and heavy smokers, the FAM184B gene was found with two CpG positions differentially hypermethylated (p = 0.012 after FDR adjustment), in a region of 48 bp with an absolute methylation difference >10% between groups (p = 1.76 × 10-8). In the analysis corresponding to oral-cancer patients, we found AHRR differentially hypomethylated cancer patients, but also in subjects without oral cancer in the targeted analyses. Remarkably, ADAMTS2 was found differentially hypermethylated in heavy smokers without a diagnosis of cancer in two consecutive probes cg05575921 (p = 3.13 × 10-7) and cg10208897 (p = 1.36 × 10-5). Differentially methylated AHRR, ADAMTS2, and FAM184B genes are biomarker candidates in oral rinse samples.

Genome wide identification and characterization of fertility associated novel CircRNAs as ceRNA reveal their regulatory roles in sheep fecundity

Reproductive traits play a vital role in determining the production efficiency of sheep. Maximizing the production is of paramount importance for breeders worldwide due to the growing population. Circular RNAs (circRNAs) act as miRNA sponges by absorbing miRNA activity through miRNA response elements (MREs) and participate in ceRNA regulatory networks (ceRNETs) to regulate mRNA expression. Despite of extensive research on role of circRNAs as miRNA sponges in various species, their specific regulatory roles and mechanism in sheep ovarian tissue are still not well understood. In this study, we performed whole genome sequencing of circRNAs, miRNA and mRNA employing bioinformatic techniques on ovine tissues of two contrasting sheep breeds "Small tail Han (X_LC) and Dolang sheep (D_LC)", which results into identification of 9,878 circRNAs with a total length of 23,522,667 nt and an average length of 2,381.32 nt. Among them, 44 differentially expressed circRNAs (DECs) were identified. Moreover, correlation between miRNA-mRNA and lncRNA-miRNA provided us with to prediction of miRNA binding sites on nine differentially expressed circRNAs and 165 differentially expressed mRNAs using miRanda. miRNA-mRNA and lncRNA-miRNA pairs with negative correlation were selected to determine the ceRNA score along with positively correlated pairs from lncRNA and mRNA network. Integration of ceRNA score and positively correlated pairs exhibit a significant ternary relationship among circRNAs-miRNA-mRNA demonestrated by ceRNA, comprising of 50 regulatory pairs sharring common nodes and predicted potential differentially expressed circRNAs-miRNAs-mRNAs regulatory axis. Based on functional enrichment analysis shortlisted key ceRNA regulatory pairs associated with reproduction including circRNA_3257-novel579_mature-EPHA3, circRNA_8396-novel130_mature-LOC101102473, circRNA_4140- novel34_mature > novel661_mature-KCNK9, and circRNA_8312-novel339_mature-LOC101110545. Furthermore, expression profiling, functional enrichments and qRT-PCR analysis of key target genes infer their implication in reproduction and metabolism. ceRNA target mRNAs evolutionary trajectories, expression profiling, functional enrichments, subcellular localizations following genomic organizations will provide new insights underlying molecular mechanisms of reproduction, and establish a solid foundation for future research.Graphical Graphical abstract summarizing the scheme of study

The Effect of Nanomaterials on DNA Methylation: A Review.

DNA methylation is an epigenetic mechanism that involves the addition of a methyl group to a cytosine residue in CpG dinucleotides, which are particularly abundant in gene promoter regions. Several studies have highlighted the role that modifications of DNA methylation may have on the adverse health effects caused by exposure to environmental toxicants. One group of xenobiotics that is increasingly present in our daily lives are nanomaterials, whose unique physicochemical properties make them interesting for a large number of industrial and biomedical applications. Their widespread use has raised concerns about human exposure, and several toxicological studies have been performed, although the studies focusing on nanomaterials' effect on DNA methylation are still limited. The aim of this review is to investigate the possible impact of nanomaterials on DNA methylation. From the 70 studies found eligible for data analysis, the majority were in vitro, with about half using cell models related to the lungs. Among the in vivo studies, several animal models were used, but most were mice models. Only two studies were performed on human exposed populations. Global DNA methylation analyses was the most frequently applied approach. Although no trend towards hypo- or hyper-methylation could be observed, the importance of this epigenetic mechanism in the molecular response to nanomaterials is evident. Furthermore, methylation analysis of target genes and, particularly, the application of comprehensive DNA methylation analysis techniques, such as genome-wide sequencing, allowed identifying differentially methylated genes after nanomaterial exposure and affected molecular pathways, contributing to the understanding of their possible adverse health effects.

Identification of miR-143-3p as a diagnostic biomarker in gastric cancer

BackgroundGastric cancer (GC) is among the most common types of gastrointestinal cancers and has a high incidence and mortality around the world. To suppress the progression of GC, it is essential to develop diagnostic markers. MicroRNAs regulate GC development, but a clearer insight into their role is needed before they can be applied as a molecular markers and targets.MethodsIn this study, we assessed the diagnostic value of differentially expressed microRNAs as potential diagnostic biomarkers for GC using data for 389 tissue samples from the Cancer Genome Atlas (TCGA) and 21 plasma samples from GC patients.ResultsThe expression of hsa-miR-143-3p (also known as hsa-miR-143) was significantly downregulated in GC according to the TCGA data and plasma samples. The 228 potential target genes of hsa-miR-143-3p were analyzed using a bioinformatics tool for miRNA target prediction. The target genes correlated with extracellular matrix organization, the cytoplasm, and identical protein binding. Furthermore, the pathway enrichment analysis of target genes showed that they were involved in pathways in cancer, the phosphoinositide 3-kinase (PI3K)–protein kinase B (Akt) signaling pathway, and proteoglycans in cancer. The hub genes in the protein–protein interaction (PPI) network, were matrix metallopeptidase 2 (MMP2), CD44 molecule (CD44), and SMAD family member 3 (SMAD3).ConclusionsThis study suggests that hsa-miR-143-3p may be used as a diagnostic marker for GC, contributing via the pathways involved in the development of GC.

MicroRNA-23a-3p Is Upregulated in Plasma Exosomes of Bulbar-onset ALS Patients and Targets ERBB4

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease related to the progressive death of motor neurons. Understanding the pathogenesis of ALS continues to provide considerable challenges. Bulbar-onset ALS involves faster functional loss and shorter survival time than spinal cord-onset ALS. However, debate is ongoing regarding typical plasma miRNA changes in ALS patients with bulbar onset. Exosomal miRNAs have not yet been described as a tool for bulbar-onset ALS diagnosis or prognosis prediction. In this study, candidate exosomal miRNAs were identified by small RNA sequencing using samples from patients with bulbar-onset ALS and healthy controls. Potential pathogenic mechanisms were identified through enrichment analysis of target genes for differential miRNAs. Expression of miR-16-5p, miR-23a-3p, miR-22-3p, and miR-93-5p was significantly up-regulated in plasma exosomes from bulbar-onset ALS patients compared with healthy control subjects. Among them, miR-16-5p and miR-23a-3p were significantly lower in spinal-onset ALS patients than those with bulbar-onset. Furthermore, up-regulation of miR-23a-3p in motor neuron-like NSC-34 cells promoted apoptosis and inhibited cell viability. This miRNA was found to directly target ERBB4 and regulate the AKT/GSK3β pathway. Collectively, the above miRNAs and their targets are related to the development of bulbar-onset ALS. Our research indicates that miR-23a-3p might have an effect on motor neuron loss observed in bulbar-onset ALS and may be a novel target for the therapy of ALS in the future.

Mycobacterium avium Complex Infections: Detailed Phenotypic and Functional Immunological Work-Up Is Required despite Genetic Analyses

Introduction: Cervical scrofulous lymphadenitis due to Mycobacterium avium complex (MAC) in immunocompetent adults is a rare disease. The presence of MAC infections demands meticulous clinical evaluation of patients along with detailed phenotypic and functional evaluation of their immune system including next-generation sequencing (NGS) analyses of target genes. Methods: Exact clinical histories of the index patients both suffering from retromandibular/cervical scrofulous lymphadenitis were obtained along with phenotypic and functional immunological evaluations of leukocyte populations followed by targeted NGS-based sequencing of candidate genes. Results: Immunological investigations showed normal serum immunoglobulin and complement levels, but lymphopenia, which was caused by significantly reduced CD3+CD4+CD45RO+ memory T-cell and CD19+ B-cell numbers. Despite normal T-cell proliferation to a number of accessory cell-dependent and -independent stimuli, the PBMC of both patients elaborated clearly reduced levels of a number of cytokines, including IFN-γ, IL-10, IL-12p70, IL-1α, IL-1β, and TNF-α upon TCR-dependent T-cell stimulation with CD3-coated beads but also superantigens. The IFN-γ production deficiency was confirmed for CD3+CD4+ helper and CD4+CD8+ cytotoxic T cells on the single-cell level by multiparametric flow cytometry irrespective of whether PMA/ionomycin-stimulated whole blood cells or gradient-purified PBMC was analyzed. In the female patient L1, targeted NGS-based sequencing revealed a homozygous c.110T>C mutation in the interferon-γ receptor type 1 (IFNGR1) leading to significantly reduced receptor expression on both CD14+ monocytes and CD3+ T cells. Patient S2 presented with normal IFNGR1 expression on CD14+ monocytes but significantly reduced IFNGR1 expression on CD3+ T cells, despite the absence of detectable homozygous mutations in the IFNGR1 itself or disease-related target genes. Exogenous addition of increasing doses of IFN-γ resulted in proper upregulation of high-affinity FcγRI (CD64) on monocytes from patient S2, whereas monocytes from patient L1 showed only partial induction of CD64 expression after incubation with high doses of IFN-γ. Conclusion: A detailed phenotypic and functional immunological examination is urgently required to determine the cause of a clinically relevant immunodeficiency, despite detailed genetic analyses.

PRELIMINARY ANALYSIS OF STIM-1 EXPRESSION ON FORMALIN-FIXED PARAFFIN-EMBEDDED NASOPHARYNGEAL CANCER TISSUES

Nasopharyngeal cancer (NPC) is commonly diagnosed at the advanced stage with a poor prognosis. STIM-1 has become a promising cancer biomarker, especially in early diagnostic applications. There is a limited study on STIM1 expression in NPC, especially in formalin-fixed paraffin-embedded NPC tissues. Thus, the present work provides a preliminary analysis of STIM-1 expression on NPC tissues. This study aims to examine STIM-1 expression in NPC associated with tissue origin and the functional effects of STIM1 expression in NPC. Screening for target genes was using the KEGG PATHWAY database. The target gene analysis was initially done further studied using an immunohistostaining approach on NPC tissue samples. From the bioinformatic resources, STIM-1 has shown significant interaction with molecules network associated with cell migration and metastasis. Differentiated NPC showed moderate STIM-1 IHC staining intensity and undifferentiated NPC presented with strong STIM-1 IHC staining intensity. The present preliminary study suggests that STIM-1 could have a positive correlation with NPC pathogenesis. However, further comprehensive work using larger samples size is needed especially focusing on the STIM-1 expression and other clinicopathological parameters.

TMT quantitative proteomics and network pharmacology reveal the mechanism by which asiaticoside regulates the JAK2/STAT3 signaling pathway to inhibit peritoneal fibrosis.

Traditional Chinese medicine, Centella asiatica (L.) Urb., has been extensively utilized in clinics to treat a variety of fibrotic disorders. Asiaticoside (ASI), as an important active ingredient, has attracted much attention in this field. However, the effect of ASI on peritoneal fibrosis (PF) is still unclear. Therefore, we evaluated the benefits of ASI for PF and mesothelial-mesenchymal transition (MMT) and revealed the underlying mechanisms. The objective of this investigation was to anticipate the potential molecular mechanism of ASI against peritoneal mesothelial cells (PMCs) MMT employing proteomics and network pharmacology, and to confirm it using in vivo and in vitro studies. The mesentery of peritoneal fibrosis mice and normal mice were analyzed quantitatively for proteins that were differentially expressed using a technique tandem mass tag (TMT). Next, the core target genes of ASI against PF were screened through network pharmacology analysis, and PPI and C-P‒T networks were constructed by Cytoscape Version 3.7.2. According to the findings of a GO and KEGG enrichment analysis of differential proteins and core target genes, the signaling pathway with a high correlation degree was selected as the key signaling pathway of ASI inhibiting the PMCs MMT for further molecular docking analysis and experimental verification. TMT-based quantitative proteome analysis revealed the identification of 5727 proteins, of which 70 were downregulated and 178 were upregulated. Among them, the levels of STAT1, STAT2, and STAT3 in the mesentery of mice with peritoneal fibrosis were considerably lower than in the control group, indicating a role for the STAT family in the pathogenesis of peritoneal fibrosis. Then, a total of 98 ASI-PF-related targets were identified by network pharmacology analysis. JAK2 is one of the top 10 core target genes representing a potential therapeutic target. JAK/STAT signaling may represent a core pathway mediating PF effects by ASI. Molecular docking studies showed that ASI had the potential to interact favorably with target genes involved in the JAK/STAT signaling pathway, such as JAK2 and STAT3.The experimental results showed that ASI could significantly alleviate Chlorhexidine Gluconate (CG)-induced peritoneal histopathological changes and increase JAK2 and STAT3 phosphorylation levels. In TGF-β1-stimulated HMrSV5 cells, E-cadherin expression levels were dramatically reduced whereas Vimentin, p-JAK2, α-SMA, and p-STAT3 expression levels were considerably increased. ASI inhibited the TGF-β1-induced HMrSV5 cell MMT, decreased the activation of JAK2/STAT3 signaling, and increased the nuclear translocation of p-STAT3, which was consistent with the effect of the JAK2/STAT3 pathway inhibitor AG490. ASI can inhibit PMCs MMT and alleviate PF by regulating the JAK2/STAT3 signaling pathway.

Transcription‐based drug repurposing in Alzheimer disease psychosis

AbstractBackgroundThere are at least 50 million people with Alzheimer’s Disease (AD) or other dementias worldwide. About 50% of people with AD may develop psychotic symptoms (delusions and hallucinations). However, there is no effective pharmacological therapy for psychosis in AD and all current treatments are based on antipsychotics originally designed for other disorders like schizophrenia. In this study, we identify the molecular signature of psychosis in AD in post‐mortem brain samples and then use the connectivity map (CMAP) and library of network‐based cellular signatures (LINC) to predict candidate drugs based on the disease transcriptional signature.MethodWe generated RNA‐Seq data (Illumina Stranded mRNA Prep) and compared the gene expression levels across 4 groups: Control, AD with no psychosis (AD), AD with Delusions (ADD), and AD with both Delusions and Hallucinations (ADDH). The final identified differentially expressed up and down‐regulated genes (DEGs) were used as query signatures in the CMAP and LINC databases to identify drugs that could potentially reverse the gene expression signatures in disease samples. To investigate the disease mechanisms and the effect of repurposed drugs on it, a drug‐target interaction network was reconstructed and combined with the human interactome. Enrichment analysis of this network identifies AD and psychosis‐related pathways and the potential effect the nominated drugs have on them.ResultAfter filtering out the common DEGs, 357, 171, and 66 unique genes remained in the AD, ADD, and ADDH signature sets, respectively. The signatureSearch package was used to search transcriptome signatures against CMAP and LINC. The top ranked drugs, based on negative connectivity scores, were selected as final results. Gene set enrichment analysis of the drug target genes presented some key pathways and activities related to psychiatric disorders. For example, serotonin receptor signalling pathway is one of the most over‐represented pathway of target genes in both ADD and ADDH groups.ConclusionThis study can improve our understanding of the molecular mechanisms underlying AD psychosis. The candidate drugs we have identified could be repurposed for clinical trials of psychosis in AD and provide valuable knowledge for future pharmacological research.