Annotation Enrichment Research Articles

Bioinformatics-based analysis of core genes and pathway enrichment in early diabetic nephropathy.

Diabetic nephropathy (DN) is the main cause of end-stage renal disease (ESRD). Bioinformatics technology was adopted to screen and analyze the core genes of early DN to explore its pathogenesis. GSE30528, GSE96804, and GSE30122 chip data were obtained from Gene Expression Omnibus (GEO) database to screen DN and healthy controls for differentially expressed genes. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) for functional annotation and signaling pathway enrichment; String and Cytoscape were used for protein-protein interaction (PPI) network construction and core gene screening, NCBI-Genes to search the expression profile of core genes. 17 common genes were screened, with 6 genes up-regulated and 11 genes down-regulated. The major functional annotations of differential genes were the generation of precursor metabolites and energy, Immune response, and Phosphorylation. They were concentrated on Focal adhesion, PI3K/Akt signaling pathway, and Human papillomavirus infection pathway. The expressions of VEGFA and THBS1 were down-regulated, while the expressions of ITGB1, MMP7, and SOX9 were up-regulated. The core genes VEGFA and THBS1 were highly expressed in Thyroid and Appendix, but lowly expressed in Testis. MMP7 was highly expressed in the Gall bladder and low in the Adrenal. SOX9 was highly expressed in Thyroid and lowly expressed in the bone marrow. ITGB1 was highly expressed in Fat and low in Pancreas. Bioinformatics technology can mine chip data and present new targets for diagnosing and treating DN, but further verification is needed.

A Chromosome-Level Genome of 'Xiaobaixing' (Prunus armeniaca L.) Provides Clues to Its Domestication and Identification of Key bHLH Genes in Amygdalin Biosynthesis.

Apricot is a widely cultivated fruit tree of the drupe family, and its sweet/bitter kernel traits are important indicators of the quality and merchantability of apricots. The sweetness/bitterness traits were mainly determined by amygdalin content. However, the lack of high-quality genomes has limited insight into the traits. In this study, a high-quality genome of 'Xiaobaixing' was obtained by using single-molecule sequencing and chromosome-conformation capture techniques, with eight chromosomes of 0.21 Gb in length and 52.80% repetitive sequences. A total of 29,157 protein-coding genes were predicted with contigs N50 = 3.56 Mb and scaffold N50 = 26.73 Mb. Construction of phylogenetic trees of 15 species of Rosaceae fruit trees, with 'Xiaobaixing' differentiated by 5.3 Ma as the closest relative to 'Yinxiangbai'. GO functional annotation and KEGG enrichment analysis identified 227 specific gene families to 'Xiaobaixing', with 569 expansion-gene families and 1316 contraction-gene families, including the significant expansion of phenylalanine N-monooxygenase and β-glucosidase genes associated with amygdalin synthesis, significant contraction of wild black cherry glucoside β-glucosidase genes, amygdalin β-glucosidase genes, and β-glucosidase genes, and significant enrichment of positively selected genes in the cyanogenic amino acid metabolic pathway. The 88 bHLH genes were identified in the genome of 'Xiaobaixing', and ParbHLH66 (rna-Par24659.1) was found to be a key gene for the identification of sweet/bitter kernels of apricots. The amino acid sequence encoded by its gene is highly conserved in the species of Prunus mume, Prunus dulcis, Prunus persica, and Prunus avium and may be participating in the regulation of amygdalin biosynthesis, which provides a theoretical foundation for the molecular identification of sweet/bitter kernels of apricots.

Exploration of the molecular mechanism of tea polyphenols against pulmonary hypertension by integrative approach of network pharmacology, molecular docking, and experimental verification.

Pulmonary hypertension, a common complication of chronic obstructive pulmonary disease, is a major global health concern. Green tea is a popular beverage that is consumed all over the world. Green tea's active ingredients are epicatechin derivatives, also known as "polyphenols," which have anti-carcinogenic, anti-inflammatory, and antioxidant properties. This study aimed to explore the possible mechanism of green tea polyphenols in the treatment of pulmonary hypertension using network pharmacology, molecular docking, and experimental verification. A total of 316 potential green tea polyphenols-related targets were obtained from the PharmMapper, SwissTargetPrediction, and TargetNet databases. A total of 410 pulmonary hypertension-related targets were predicted by the CTD, DisGeNET, pharmkb, and GeneCards databases. Green tea polyphenols-related targets were hit by the 49 targets associated with pulmonary hypertension. AKT1 and HIF1-α were identified through the FDA drugs-target network and PPI network combined with GO functional annotation and KEGG pathway enrichment. Molecular docking results showed that green tea polyphenols had strong binding abilities to AKT1 and HIF1-α. In vitro experiments showed that green tea polyphenols inhibited the proliferation and migration of hypoxia stimulated pulmonary artery smooth muscle cells by decreasing AKT1 phosphorylation and downregulating HIF1α expression. Collectively, green tea polyphenols are promising phytochemicals against pulmonary hypertension.

Copy Number Variation Regions Differing in Segregation Patterns Span Different Sets of Genes.

Copy number variations regions (CNVRs) can be classified either as segregating, when found in both parents, and offspring, or non-segregating. A total of 65 segregating and 31 non-segregating CNVRs identified in at least 10 individuals within a dense pedigree of the Gochu Asturcelta pig breed was subjected to enrichment and functional annotation analyses to ascertain their functional independence and importance. Enrichment analyses allowed us to annotate 1018 and 351 candidate genes within the bounds of the segregating and non-segregating CNVRs, respectively. The information retrieved suggested that the candidate genes spanned by segregating and non-segregating CNVRs were functionally independent. Functional annotation analyses allowed us to identify nine different significantly enriched functional annotation clusters (ACs) in segregating CNVR candidate genes mainly involved in immunity and regulation of the cell cycle. Up to five significantly enriched ACs, mainly involved in reproduction and meat quality, were identified in non-segregating CNVRs. The current analysis fits with previous reports suggesting that segregating CNVRs would explain performance at the population level, whereas non-segregating CNVRs could explain between-individuals differences in performance.

Two microRNAs of plasma-derived small extracellular vesicles as biomarkers for metastatic non-small cell lung cancer

BackgroundMicroRNAs (miRNAs) of plasma-derived small extracellular vesicles (sEVs) have been proven to be associated with metastasis in several types of cancer. This study aimed to detect miRNAs of plasma-derived sEVs as potential biomarkers for metastatic non-small cell lung cancer (NSCLC).MethodsWe assessed the miRNA profiles of plasma-derived sEVs from healthy individuals as the control group (CT group), NSCLC patients without distant organ metastasis as the NM-NSCLC group and patients with distant organ metastasis as the M-NSCLC group. Next-generation sequencing (NGS) was performed on samples, and differentially expressed miRNAs (DEMs) of the three groups were screened. Kyoto Encyclopedia of Genes and Genomes (KEGG) and ClueGO were used to predict potential pathways of DEMs. MiRNA enrichment analysis and annotation tool (miEAA) was used to understand changes in the tumour microenvironment in NSCLC. Quantitative reverse transcription polymerase chain reaction (qRT‒PCR) analysis was used to validate target miRNAs.ResultNGS was performed on 38 samples of miRNAs of plasma-derived sEVs, and DEMs were screened out between the above three groups. Regarding the distribution of DEMs in the NM-NSCLC and M-NSCLC groups, KEGG pathway analysis showed enrichment in focal adhesion and gap junctions and ClueGO in the Rap1 and Hippo signaling pathways; miEAA found that fibroblasts were over-represented. From our screening, miRNA-200c-3p and miRNA-4429 were found to be predictive DEMs among the CT, NM-NSCLC and M-NSCLC groups, and qRT‒PCR was applied to verify the results. Finally, it was revealed that expression levels of miR-200c-3p and miR-4429 were significantly upregulated in M-NSCLC patients.ConclusionThis study identified miRNA-200c-3p and miRNA-4429 as potential biomarkers for NSCLC metastasis.

Integrated multiple-microarray analysis and mendelian randomization to identify novel targets involved in diabetic nephropathy.

Diabetic nephropathy (DN), which is the main cause of renal failure in end-stage renal disease, is becoming a common chronic renal disease worldwide. Mendelian randomization (MR) is a genetic tool that is widely used to minimize confounding and reverse causation when identifying the causal effects of complex traits. In this study, we conducted an integrated multiple microarray analysis and large-scale plasma proteome MR analysis to identify candidate biomarkers and evaluate the causal effects of prospective therapeutic targets in DN. Five DN gene expression datasets were selected from the Gene Expression Omnibus. The robust rank aggregation (RRA) method was used to integrate differentially expressed genes (DEGs) of glomerular samples between patients with DN and controls, followed by functional enrichment analysis. Protein quantitative trait loci were incorporated from seven different proteomic genome-wide association studies, and genetic association data on DN were obtained from FinnGen (3676 cases and 283,456 controls) for two-sample MR analysis. External validation and clinical correlation were also conducted. A total of 82 DEGs (53 upregulated and 29 downregulated) were identified through RRA integrated analysis. The enriched Gene Ontology annotations and Kyoto Encyclopedia of Genes and Genomes pathways of the DEGs were significantly enriched in neutrophil degranulation, neutrophil activation, proteoglycan binding, collagen binding, secretory granule lumen, gluconeogenesis, tricarboxylic acid cycle, and pentose phosphate pathways. MR analysis revealed that the genetically predicted levels of MHC class I polypeptide-related sequence B (MICB), granzyme A (GZMA), cathepsin S (CTSS), chloride intracellular channel protein 5, and ficolin-1 (FCN1) were causally associated with DN risk. Expression validation and clinical correlation analysis showed that MICB, GZMA, FCN1, and insulin-like growth factor 1 may participate in the development of DN, and carbonic anhydrase 2 and lipoprotein lipase may play protective roles in patients with DN. Our integrated analysis identified novel biomarkers, including MICB and GZMA, which may help further understand the complicated mechanisms of DN and identify new target pathways for intervention.

Differential Gene Expression Profiles Involved in the Inflammations Due to COVID-19 and Inflammatory Bowel Diseases and the Investigation of Predictive Biomarkers.

Gastrointestinal manifestations in COVID-19 were attributed to 74-86% of the hospitalised patients due to severe or prolonged pathogenesis. Though it is a respiratory disease, the impact it elicits on the gastrointestinal tract and brain are intense. Inflammatory bowel disease including Crohn's disease and ulcerative colitis are idiopathic inflammatory disorders of the gastrointestinal tract. The intrinsic mechanisms involved in gut inflammations due to a respiratory viral disease can be deciphered when the gene expression profiles of COVID-19 and IBD are compared. The current study utilises an integrated bioinformatics approach to unravel them. The publicly available gene expression profiles of colon transcriptomes infected with COVID-19, Crohn's disease and Ulcerative colitis were retrieved, integrated and analysed for the identification of differentially expressed genes. The inter-relational analysis along with gene annotation and pathway enrichment detailed the functional and metabolic pathways of the genes during normal and diseased conditions. The protein-protein interactions deduced from the STRING database and the identified hub genes predicted potential biomarker candidates for COVID-19, Crohn's disease and ulcerative colitis. The inflammatory response pathways were upregulated and enrichment of chemokine signalling, altered lipid metabolism, coagulation and complement cascades were seen in all three conditions along with impaired transport mechanisms. CXCL11, MMP10, and CFB are predicted to be overexpressed biomarkers, whilst GUCA2A, SLC13A2, CEACAM, and IGSF9 as downregulated novel biomarker candidates for colon inflammations. The three miRNAs hsa-miR-16-5p, hsa-miR-21-5p, and hsa-miR-27b-5p exhibited significant interactions with the upregulated hub genes and four long non-coding RNAs NEAT1, KCNQ1OT1, and LINC00852 capable of regulating miRNA were also predicted. This study offers significant information on the underlying molecular mechanisms of inflammatory bowel disease with identification of potential biomarkers.

Network Pharmacology and Experimental Analyses on Astragalus membranaceus (Huangqi) Effects on Endotoxin-induced Uveitis Model in Rats

Objectives This study is aimed at identifying critical therapeutic targets of Astragalus membranaceus (Huangqi (HQ)) and investigating the effects and mechanisms of HQ treating uveitis. The potential drug targets of HQ and main active ingredients were obtained from the Traditional Chinese medicine (TCM) systems pharmacology database and analysis platform (TCMSP, http://tcmspnw.com ). Materials and Methods Cytoscape software was used to identify the disease targets of uveitis. Drug targets and disease targets were compared, and intersected hubs were applied for the active ingredient-target network and protein-protein-interaction (PPI) network construction. Signaling pathway enrichment annotation was performed to identify possible signaling involved in uveitis treatment. An endotoxin-induced uveitis (EIU) model was established, and the therapeutic effects of total flavonoids of Astragalus (TFA) on uveitis were investigated by examining the improvement of eye symptoms, histopathological alterations, and the levels of cytokines. Results Based on network pharmacological analysis, HQ could modulate the initiation and progression of uveitis by reducing the production of cytokines and regulating cell apoptosis via the NOD-like receptor (NLR), apoptosis, and toll-like receptor (TLR) signaling pathways. Based on animal experiments, high-dose TFA could reduce rat’s iris congestion, reduce anterior chamber exudation and pus, restore pupil size, and decrease the release of inflammatory factors IFN-γ and IL-10. Network pharmacological and experimental analyses revealed that TFA regulates the release of inflammatory factors through the NLR and TLR signaling pathways, thus regulating the immune system of EIU rats and ultimately relieving inflammation responses in uveitis rats.

Tuo-Min-Ding-Chuan Decoction Alleviates Airway Inflammations in the Allergic Asthmatic Mice Model by Regulating TLR4-NLRP3 Pathway-Mediated Pyroptosis: A Network Pharmacology and Experimental Verification Study.

Tuo-Min-Ding-Chuan Decoction (TMDCD) is an effective traditional Chinese medicine (TCM) formula granule for allergic asthma (AA). Previous studies proved its effects on controlling airway inflammations, while the specific mechanism was not clear. We conducted a network pharmacology study to explore the molecular mechanism of TMDCD against AA with the public databases of TCMSP. Then, HUB genes were screened with the STRING database. DAVID database performed GO annotation and KEGG functional enrichment analysis of HUB genes, and it was verified with molecular docking by Autodock. Then, we built a classic ovalbumin-induced allergic asthma mice model to explore the mechanism of anti-inflammation effects of TMDCD. In the network pharmacology study, we found out that the potential mechanism of TMDCD against AA might be related to NOD-like receptor (NLR) signaling pathway and Toll-like receptor (TLR) signaling pathway. In the experiment, TMDCD showed remarkable effects on alleviating airway inflammations, airway hyperresponsiveness (AHR), and airway remodeling in the asthmatic mice model. Further molecular biology and immunohistochemistry experiments suggested TMDCD could repress TLR4-NLRP3 pathway-mediated pyroptosis-related gene transcriptions to inhibit expressions of target proteins. TMDCD could alleviate asthmatic mice model airway inflammations by regulating TLR4-NLRP3 pathway-mediated pyroptosis.

The development and transcriptome regulation of the secondary trunk of Ginkgo biloba L.

Secondary trunk Ginkgo biloba is one of the specific germplasms of G. biloba. In this study, paraffin sectioning, high-performance liquid chromatography and transcriptome sequencing technology were used to study the development of the secondary trunk of G. biloba from the morphological, physiological and molecular levels. The results showed that the secondary trunk of G. biloba originated from the latent buds in the stem cortex at the junction of the root and stem of the main trunk. The development process of secondary trunk was divided into 4 periods: the dormancy period of the secondary trunk buds, the differentiation period, the formation period of transport tissue, and the budding period. Transcriptome sequencing was performed by comparing the germination period and elongation growth period of the secondary trunk with the normal parts of the same period where no secondary trunks occurred. Differential genes involved in phytohormone signal transduction, phenylpropane biosynthesis, phenylalanine metabolism, glycolysis and other pathways can regulate not only the inhibition of early dormant buds but also the later development of the secondary trunk. Genes related to IAA synthesis are upregulated and indole-3-acetic acid content is increased, leading to the up-regulated expression of IAA intracellular vector genes. The IAA response gene (SAUR) receives and responds to IAA signals to promote the development of the secondary trunk. Through the enrichment of differential genes and functional annotations, a key regulatory pathway map for the occurrence of the secondary trunk of G. biloba was sorted out.

MBROLE3: improved functional enrichment of chemical compounds for metabolomics data analysis.

MBROLE (Metabolites Biological Role) facilitates the biological interpretation of metabolomics experiments. It performs enrichment analysis of a set of chemical compounds through statistical analysis of annotations from several databases. The original MBROLE server was released in 2011 and, since then, different groups worldwide have used it to analyze metabolomics experiments from a variety of organisms. Here we present the latest version of the system, MBROLE3, accessible at http://csbg.cnb.csic.es/mbrole3. This new version contains updated annotations from previously included databases as well as a wide variety of new functional annotations, such as additional pathway databases and Gene Ontology terms. Of special relevance is the inclusion of a new category of annotations, 'indirect annotations', extracted from the scientific literature and from curated chemical-protein associations. The latter allows to analyze enriched annotations of the proteins known to interact with the set of chemical compounds of interest. Results are provided in the form of interactive tables, formatted data to download, and graphical plots.

Transcriptomic Analysis of Takifugu obscurus Gills under Acute Hypoxic Stress.

Takifugu obscurus has relatively small gills and gill pores, leading to a relatively low respiratory capacity and increased vulnerability to low dissolved oxygen (DO) levels compared to other fish. To investigate the responses of T. obscurus to acute hypoxic stress, high-throughput-sequencing-based transcriptomic analyses were conducted here to assess the responses of T. obscurus gills to acute hypoxic stress. Three environmental conditions were compared including normoxia (DO: 7.0 ± 0.2 mg/L), hypoxic stress (DO: 0.9 ± 0.2 mg/L), and reoxygenation (4, 8, 12, and 24 h after return to normoxia) conditions to identify differentially expressed genes (DEGs) responsive to hypoxia. A total of 992, 877, 1561, 1412, and 679 DEGs were identified in the normoxia and reoxygenation for 4, 8, 12, and 24 h groups in comparison to the hypoxia groups, respectively. The DEGs were primarily associated with oxidative stress, growth and development, and immune responses. Further functional annotation enrichment analysis of the DEGs revealed that they were primarily related to cytokine-cytokine interactions, transforming growth factor β receptor (TGF-β), cell adhesion molecules (CAMs), the vascular endothelial growth factor (VEGF) signaling pathway, and the mitogen-activated protein kinase (MAPK) signaling pathway. These results provide new insights into the physiological and biochemical mechanisms of T. obscurus adaptations to hypoxic stress. Furthermore, these results provide a framework for future studies into the molecular mechanisms of hypoxia tolerance and the healthy culture of T. obscurus and other fish.

Succinylation-associated lncRNA signature to predict the prognosis of colon cancer based on integrative bioinformatics analysis

Colon cancer (CC) has a poor 5-year survival rate though the treatment techniques and strategies have been improved. Succinylation and long noncoding RNAs (lncRNAs) have prognostic value for CC patients. We analyzed and obtained succinylation-related lncRNA by co-expression in CC. A novel succinylation-related lncRNA model was developed by univariate and Least absolute shrinkage and selection operator (Lasso) regression analysis and we used principal component analysis (PCA), functional enrichment annotation, tumor immune environment, drug sensitivity and nomogram to verify the model, respectively. Six succinylation-related lncRNAs in our model were finally confirmed to distinguish the survival status of CC and showed statistically significant differences in training set, testing set, and entire set. The prognosis of with this model was associated with age, gender, M0 stage, N2 stage, T3 + T4 stage and Stage III + IV. The high-risk group showed a higher mutation rate than the low-risk group. We constructed a model to predict overall survival for 1-, 3-, and 5-year with AUCs of 0.694, 0.729, and 0.802, respectively. The high-risk group was sensitive to Cisplatin and Temozolomide compounds. Our study provided novel insights into the value of the succinylation-related lncRNA signature as a predictor of prognosis, which had high clinical application value in the future.

Integrative analysis of gene expression and DNA methylation to identify biomarkers of non-genital warts induced by low-risk human papillomaviruses infection

BackgroundHuman papillomaviruses have been shown to dysregulate the gene expression and DNA methylation profiles of their host cells over the course of infection. However, there is a lack of information on the impact of low-risk HPV infection and wart formation on host cell's expression and methylation patterns. Therefore, the objective of this study is to analyse the genome and methylome of common warts using an integrative approach. MethodsIn the present study, gene expression (GSE136347) and methylation (GSE213888) datasets of common warts were obtained from the GEO database. Identification of the differentially expressed and differentially methylated genes was carried out using the RnBeads R package and the edgeR Bioconductor package. Next, functional annotation of the identified genes was obtained using the Database for Annotation, Visualization, and Integrated Discovery (DAVID). Network construction and analyses of the gene-gene, protein-protein, and signaling interactions of the differentially expressed and differentially methylated genes was performed using the GeneMANIA web interface, the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database, and the Signaling Network Open Resource 2.0 (SIGNOR 2.0), respectively. Lastly, significant hub genes were identified using the Cytoscape application CytoHubba. ResultsA total of 276 genes were identified as differentially expressed and differentially methylated in common warts, with 52% being upregulated and hypermethylated. Functional enrichment analysis identified extracellular components as the most enriched annotations, while network analyses identified ELN, ITGB1, TIMP1, MMP2, LGALS3, COL1A1 and ANPEP as significant hub genes. ConclusionsTo the best knowledge of the authors, this is the first integrative study to be carried out on non-genital warts induced by low-risk HPV types. Future studies are required to re-validate the findings in larger populations using alternative approaches.

Differential Brain Expression Patterns of microRNAs Related to Olfactory Performance in Honey Bees (Apis mellifera).

MicroRNAs (miRNAs) play a vital role in the nerve regulation of honey bees (Apis mellifera). This study aims to investigate the differences in expression of miRNAs in a honey bee's brain for olfactory learning tasks and to explore their potential role in a honey bee's olfactory learning and memory. In this study, 12 day old honey bees with strong and weak olfactory performances were utilized to investigate the influence of miRNAs on olfactory learning behavior. The honey bee brains were dissected, and a small RNA-seq technique was used for high-throughput sequencing. The data analysis of the miRNA sequences revealed that 14 differentially expressed miRNAs (DEmiRNAs) between the two groups, strong (S) and weak (W), for olfactory performance in honey bees were identified, which included seven up-regulated and seven down-regulated. The qPCR verification results of the 14 miRNAs showed that four miRNAs (miR-184-3p, miR-276-3p, miR-87-3p, and miR-124-3p) were significantly associated with olfactory learning and memory. The target genes of these DEmiRNAs were subjected to the GO database annotation and KEGG pathway enrichment analyses. The functional annotation and pathway analysis showed that the neuroactive ligand-receptor interaction pathway, oxidative phosphorylation, biosynthesis of amino acids, pentose phosphate pathway, carbon metabolism, and terpenoid backbone biosynthesis may be a great important pathway related to olfactory learning and memory in honey bees. Our findings together further explained the relationship between olfactory performance and the brain function of honey bees at the molecular level and provides a basis for further study on miRNAs related to olfactory learning and memory in honey bees.

Study on the Composition and Mechanism of Santiao Decoction in Treating Insomnia Based on UPLC and Network Pharmacology and Molecular Docking Technology.

To identify the chemical components of Santiao Decoction (STD) using Ultra Performance Liquid Chromatography (UPLC) and to conduct a network pharmacological study of STD for the treatment of insomnia based on this technique. An ACQUITY UPLC BEH C18 column (2.1 mm×100 mm, 1.7 µm) was used to identify the chemical components of STD by relative molecular weight, mass spectrometry information, and comparison with the control. The active ingredients of the formula and their corresponding gene targets and targets for insomnia were retrieved from several databases, and a visual network diagram of "drug-active ingredient-target-disease" was constructed using Cytoscape 3.8.2 software, and GO functional annotation and KEGG pathway enrichment analysis were performed using various databases such as DAVID. Five active ingredients were identified from STD by UPLC technique, 268 active ingredients of STD were screened from the TCMSP database, and 109 genes related to STD for insomnia were screened by network pharmacology, among which IL6, MMP9, VEGFA, IL10, CCL2 may be the key targets of STD for insomnia. KEGG pathway analysis showed that STD acts on membrane rafts, plasma membrane micro-regions, and other related pathways, such as Toll-like receptor signaling pathway, prolactin signaling pathway, dopaminergic synapse, relaxin signaling pathway, ErbB signaling pathway, steroid hormone biosynthesis and NF-kappa B signaling pathway for regulation. The active ingredients in STD, such as (+)-catechin, Swertisin, quercetin, baicalein, and wogonin, may act on IL6, CCL2, VEGFA, MMP9, and other targets to regulate Toll-like receptor signaling pathway, ErbB signaling pathway, NF-kappa B and other signaling pathways, and exert certain therapeutic effects on insomnia, which provide a reference and basis for further research on the mechanism of action of STD.

Microbial characterization of the nasal cavity in patients with allergic rhinitis and non-allergic rhinitis.

Although recent studies have shown that the human microbiome is involved in the pathogenesis of allergic diseases, the impact of microbiota on allergic rhinitis (AR) and non-allergic rhinitis (nAR) has not been elucidated. The aim of this study was to investigate the differences in the composition of the nasal flora in patients with AR and nAR and their role in the pathogenesis. From February to September 2022, 35 AR patients and 35 nAR patients admitted to Harbin Medical University's Second Affiliated Hospital, as well as 20 healthy subjects who underwent physical examination during the same period, were subjected to 16SrDNA and metagenomic sequencing of nasal flora. The microbiota composition of the three groups of study subjects differs significantly. The relative abundance of Vibrio vulnificus and Acinetobacter baumanni in the nasal cavity of AR patients was significantly higher when compared to nAR patients, while the relative abundance of Lactobacillus murinus, Lactobacillus iners, Proteobacteria, Pseudomonadales, and Escherichia coli was lower. In addition, Lactobacillus murinus and Lacttobacillus kunkeei were also negatively correlated with IgE, while Lacttobacillus kunkeei was positively correlated with age. The relative distribution of Faecalibacterium was higher in moderate than in severe AR patients. According to KEGG functional enrichment annotation, ICMT(protein-S-isoprenylcysteine O-methyltransferase,ICMT) is an AR microbiota-specific enzyme that plays a role, while glycan biosynthesis and metabolism are more active in AR microbiota. For AR, the model containing Parabacteroides goldstemii, Sutterella-SP-6FBBBBH3, Pseudoalteromonas luteoviolacea, Lachnospiraceae bacterium-615, and Bacteroides coprocola had the highest the area under the curve (AUC), which was 0.9733(95%CI:0.926-1.000) in the constructed random forest prediction model. The largest AUC for nAR is 0.984(95%CI:0.949-1.000) for the model containing Pseudomonas-SP-LTJR-52, Lachnospiraceae bacterium-615, Prevotella corporis, Anaerococcus vaginalis, and Roseburia inulinivorans. In conclusion, patients with AR and nAR had significantly different microbiota profiles compared to healthy controls. The results suggest that the nasal microbiota may play a key role in the pathogenesis and symptoms of AR and nAR, providing us with new ideas for the treatment of AR and nAR.

A network pharmacology based investigation on the underlying mechanism of Huqian Wan against osteoporosis

Purpose: To investigate the underlying molecular mechanism of Huqian Wan (HQW) in the treatment of osteoporosis (OP) using a network pharmacology-based strategy. Methods: The bioactive components and their targets of HQW, as well as OP-related targets were identified using public databases, and online predictive tools. Functional enrichment analyses were performed using Metascape platform. Network construction and analysis were conducted using Cytoscape software, while molecular docking was performed to analyze molecular binding affinities using AutoDock software. Results: A database retrieval identification of HQW contained 128 active components and 482 targets, 85 of which overlapped with OP-related genes and were considered potential targets for HQW treatment of OP. Protein interaction analysis revealed five key targets, including AKT1, IL6, VEGFA, IL1B, and CASP3. Functional annotation and pathways enrichment analyses showed that the 85 targets were significantly enriched in interleukin-related signal pathways, inflammatory response, and cell proliferation. Moreover, network topology analysis showed that quercetin, kaempferol, nobiletin, tetradecanoic acid, and palmitic acid are the most important 5 active components. Sankey diagram illustrated the herb-component-target connections in osteoclast differentiation and demonstrated that PPARG was the most affected target. Molecular docking revealed the potential binding pose and affinity between PPARG and active compounds. Conclusion: This systemic characterization of the active components and molecular mechanisms of HQW's treatment of OP will drive subsequent mechanistic and clinical research, and provide a new approach to understanding the mechanism of complex traditional Chinese medicine (TCM).

A nine-gene signature as prognostic biomarker in gastric cancer by bioinformatics analysis.

The prognosis of advanced gastric cancer (GC) remains poor. It is urgent and necessary to find suitable prognostic markers. miR-619-5p is highly expressed in GC. However, the value of miR-619-5p and its target genes as prognostic biomarkers of GC is unclear. RT-PCR was performed to verify the expression of miR-619-5p in GC cell lines and their exosomes. Western blotting and transmission electron microscope were used to identify exosomes. The target genes of miR-619-5p were predicted by RNA22 and TargetScan. The differentially expressed genes (DEGs) and prognosis-related genes (PRGs) were obtained using The Cancer Genome Atlas (TCGA) database. The DAVID database was used to analyse pathway enrichment and functional annotation of common target genes. The STRING database and Cytoscape software were used to screen key genes and visualize their functional modules. The survival analysis was conducted using TCGA and Kaplan-Meier Plotter (KMP) databases. Finally, a prognostic model was constructed on the foundation of the key genes to assess the reliability of the screening process. The expression of miR-619-5p in GC cells and their exosomes was proved to be significantly higher than that in normal cell lines. There are 129 common target genes involved in 3 pathways and 28 functional annotations. Finally, nine key target genes of GC (BRCA1, RAD51, KIF11, ERCC6L, BRIP1, TIMELESS, CDC25A, CLSPN and NCAPG2) were identified, and a prognostic model was successfully constructed with a good predictive ability. The model of 9-gene signature could effectively predict the prognosis of GC, and have great potential to be novel prognostic factors and therapeutic targets for patients with GC.

Abstract 6076: Compartment-specific multiomic characterisation of ovarian carcinosarcoma

Abstract Background: Ovarian carcinosarcoma (OCS) is the most aggressive ovarian cancer type. Risk of relapse and death is high across all patient groups, including those diagnosed at early stage. OCS is biphasic, comprising both carcinomatous and sarcomatous populations, leading to its historic consideration alongside true sarcomas. However, we now recognize that OCS in fact represent metaplastic carcinomas, with the sarcomatous component having undergone complete epithelial to mesenchymal transition (EMT) from carcinoma. Detailed understanding of shared and compartment-specific OCS biology has the potential to identify therapeutic opportunities to improve patient survival. Methods: We recently curated the largest pathologically-confirmed OCS cohort to date. Here, we perform compartment-specific profiling of 12 cases by mRNA sequencing, whole exome sequencing, microRNA (miRNA) profiling and quantification of tumor-infiltrating lymphocytes. These data paint a detailed picture of shared and compartment-specific biology between matched carcinomatous and sarcomatous compartments. Results: The sarcomatous compartments harbored significantly fewer infiltrating CD8+ cells (P=0.006), with a significantly lower CD8+:CD3+ cell ratio compared to the carcinomatous components (P=0.002). In 11 of 12 cases, identical TP53 mutations were identified in both cell populations; the remaining case was TP53 wild-type in both compartments. Paired analysis of mRNA sequencing identified 1477 significantly differentially expressed transcripts at FDR<0.01. The sarcomatous compartments demonstrated significantly higher MAPK activity, as determined by the MPAS transcriptomic score (P=0.042). Principal component analysis and unsupervised hierarchical clustering of miRNA expression grouped samples by compartment (carcinomatous versus sarcomatous), rather than by patient, suggesting global differences in the miRNA landscape. Paired analysis identified 131 significantly differentially expressed miRNAs between the two populations (FDR<0.01). Significantly enriched miRNA gene targets were identified using The MiRNA Enrichment Analysis and Annotation Tool (miEAA), identifying key EMT-associated gene targets, including SIRT1, PRDM16, ZEB1, ZEB2 and TGFB signaling components, among other biological processes. Conclusions: Carcinomatous and sarcomatous compartments of OCS demonstrate marked differences in transcriptomic profiles, immune engagement and miRNA expression patterns. Identification of shared TP53 mutations between compartments supports the notion that OCS represent metaplastic carcinomas. Shared biological events represent opportunities for targeted interventions that may be efficacious against both cell populations, while compartment-specific biological events allude to mechanisms by which the carcinomatous population undergoes EMT to form the sarcomatous compartment. Citation Format: Robert L. Hollis, Ailsa Oswald, Lorna J. Stillie, Ian Croy, Michael Churchman, Charlie Gourley, C. Simon Herrington. Compartment-specific multiomic characterisation of ovarian carcinosarcoma. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6076.