KEGG Research Articles

Metabolomic insights into idiopathic xerostomia: The central role of caffeine metabolism in salivary biochemistry

ObjectiveThis study aims to delineate the salivary metabolomic profile of patients with idiopathic xerostomia using untargeted metabolomics techniques, with the goal of addressing the lack of clear diagnostic markers and providing insights into the pathophysiological mechanisms of the condition. DesignIn this observational, cross-sectional study, saliva samples from 33 patients with idiopathic xerostomia and 34 healthy controls were analyzed using Ultra Performance Liquid Chromatography Quadrupole Time of Flight Mass Spectrometry (UPLC-QTOF MS). Metabolomic profiling was complemented by multivariate statistical analysis to differentiate between affected individuals and controls. ResultsMetabolomic analysis delineated a pronounced differentiation between patients with idiopathic xerostomia and healthy controls. A total of 195 metabolites displayed significant differential expression, each with a variable importance in projection (VIP) greater than 1 and a P-value less than 0.05. Pathway enrichment analysis, according to the Kyoto Encyclopedia of Genes and Genomes (KEGG), identified 22 metabolites that participated in 18 distinct metabolic pathways. Among these, the caffeine metabolism pathway, characterized by notable alterations in impact values (VIP, P-value, Log2-fold change, Rich factor), emerged as the most significantly disrupted, underscoring its potential role in the pathophysiology of idiopathic xerostomia (P = 0.0000395). ConclusionsThe salivary metabolomic profiling revealed distinct alterations in idiopathic xerostomia, with a significant reduction in caffeine metabolism pathways, underscoring potential neuropathic involvement. This study advances our understanding of the metabolic alterations in xerostomia, suggesting that salivary metabolomics may offer viable biomarkers for diagnosing and understanding the etiology of idiopathic xerostomia. Future research should focus on therapeutic targeting of these metabolic disturbances and evaluating their reversibility with treatment.

An analysis of the clinical significance of the TKI-resistant gene ZNF687 for hepatocellular carcinoma patients.

Novel treatments such as monotherapy and combined immunotherapy significantly extend overall survival (OS) for hepatocellular carcinoma (HCC) patients, but HCC is susceptible to treatment resistance during long-term therapy. The resistance mechanism to targeted drugs in HCC remains ambiguous, making research on HCC drug resistance targets crucial for the development of precision medicine. To investigate the transcriptional features, biological functions and potential clinical value of the tyrosine kinase inhibitor (TKI)-resistant gene ZNF687 in HCC. The TKI-resistant genes of HCC were identified using clustered regularly interspaced short palindromic repeats (CRISPR) in vitro screening. Then, the dependence of HCC cell lines on ZNF687 was investigated in silico. We collected global mRNA datasets of HCC tissue, integrated the mRNA expression characteristics of ZNF687 in HCC and explored the impact of ZNF687 on HCC patient prognoses using the Kaplan-Meier method (in silico). The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analyses were then conducted, and a connectivity map and molecular docking technology were applied to find the underlying agent opposing ZNF687. In vitro, the guide RNA corresponding to ZNF687 was weakly detected in HCC cells, and ZNF687 deficiency was found to inhibit growth in HCC cell lines. ZNF687 mRNA was overexpressed and had a high discriminatory ability for HCC in 2,975 HCC samples, contrasting with 2,340 non-HCC samples. Moreover, an excessive ZNF687 transcript level was related to a worse overall survival (OS) prognosis. Histone modification, spliceosome, transcription coregulator activity, and nucleocytoplasmic transport were the most significant pathways for ZNF687 differential-related gene enrichment. Chaetocin was found to be a candidate compound and presented a strong affinity to ZNF687. ZNF687 represents a TKI-resistant and growth-dependent gene for HCC, the overexpression of which indicates poor OS for HCC patients. Additionally, ZNF687 is expected to be a druggable target for overcoming TKI resistance, and chaetocin may be a candidate therapeutic compound for ZNF687.

A pilot study of precision treatment for patients with lung cancer pain by Longteng Tongluo recipe using serum genomics.

To investigate the efficacy of Longteng Tongluo recipe (, LTTL) combined with three-step analgesia for the treatment of lung cancer pain, and the changes in serum miRNA expressions before- and after treatment with LTTL and its correlation with lung cancer pain. The possible mechanism underlying LTTL effects on the treatment of lung cancer pain was conducted. The pilot study was conducted at the oncology ward of the Yueyang Hospital and the Longhua Hospital between March 2018 and October 2019. A prospective, single-blind, placebo controlled, randomized clinical trial of LTTL or placebo combined with three-step analgesia treatments were administered to 24 cancer pain patients diagnosed with lung cancer. Analgesic efficacy was investigated as the primary outcome. Equivalent morphine consumption and numerical rating scale (NRS) scores were used as the secondary outcome. In the present study, we utilized deep sequencing techniques to compare the differential miRNA expressions in serum samples obtained from two groups: the lung cancer pain treatment group (LTTL + three-step analgesia) and the control group (placebo + three-step analgesia). Next, we employed the target prediction database to investigate the target genes for differential miRNA expressions and Gene Ontology (GO) analysis along with Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis to examine the roles and the major biochemical and signaling pathways related to the differentially expressed target genes, respectively. LTTL treatment significantly reduces the NRS score (P = 0.021) as compared to those before treatment, along with significant reductions in the total morphine equivalent consumption (P = 0.007) and the average daily equivalent morphine consumption (P = 0.003) as opposed to the control group. The expressions of 31 miRNAs differed considerably between the two groups of patients (≥ 2 times up-modulated or down-regulated between these groups, P<0.05). For instance, the miRNAs expression levels for patients before treatment (has-miR-2110 and has-miR-7d-3p) were significantly enhanced as compared to the healthy people, after LTTL treatment, the expressions of miR-2110 and miR-7d-3p in patients with lung cancer pain reduced significantly. Studies show that the above two miRNAs were significantly associated with lung cancer pain, which could mediate lung cancer pain. Furthermore, we identified 355 genes as potential targets of the 31 differentially expressed miRNAs. Pathway enrichment analyses using KEGG and GO analysis indicated that these target genes may play a crucial role in the development and modulation of lung cancer pain. LTTL demonstrated a discernible impact on alleviating lung cancer pain and its mechanism of action may be related to the downregulation of has-miR-2110 and has-miR-7d-3p expressions. This pilot study provides support for further exploration of LTTL in patients with lung cancer pain.

Bioinformatics analysis of G protein subunit gamma transduction protein 2-autophagy axis in CD11b+ dendritic cells as a potential regulator to skew airway neutrophilic inflammation in asthma endotypes.

Asthma is a heterogeneous inflammatory disease with two main clinical endotypes: type 2 (T2) high and low asthma. The plasticity and autophagy in dendritic cells (DCs) influence T helper (Th)2 or Th17 differentiation to regulate asthma endotypes. Enhanced autophagy in DCs fosters Th2 differentiation in allergic environments, while reduced autophagy favors Th17 cell differentiation in sensitized and infected environments. Autophagy regulation in DCs involves interaction with various pathways like G protein-coupled receptor (GPCR), mammalian target of rapamycin (mTOR), or phosphoinositide 3-kinase (PI3K) pathway. However, specific molecules within DCs influencing asthma endotypes remain unclear. Gene expression data series (GSE) 64896, 6858, 2276, and 55247 were obtained from gene expression omnibus (GEO) database. Differentially expressed genes (DEGs) between CD103+ and CD11b+ DCs after induction by ovalbumin (OVA) and lipopolysaccharide (LPS) were analyzed using GEO2R. DEGs were examined through Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and protein-protein interaction (PPI) analyses. The hub gene network was construct with STRING database and Cytoscape. Autophagy differences in DCs and the selected hub gene in GSE6858, GSE2276, and GSE55247 were evaluated using student t tests. Our analysis identified 635 upregulated and 360 downregulated genes in CD11b+ DCs, compared to CD103+ DCs. These DEGs were associated with "PI3K-AKT signaling pathway," "Ras signaling pathway," and so forth. Thirty-five hub genes were identified, in which G protein subunit gamma transduction protein 2 (Gngt2) in CD11b+ DCs exhibited a relatively specific increase in expression associated with autophagy defects under the induction environment similar to T2 low asthma model. No significant difference was found in lung Gngt2 expression between T2 high asthma model and control group. Our analysis suggested Gngt2 acted as an adapter molecule that inhibited autophagy, promoting Th17-mediated airway inflammation via the GPCR pathway in a T2 low asthma mice model. Targeting this pathway provides new asthma treatment strategies in preclinical research.

Predicting the Mechanism of Tiannanxing-shengjiang Drug Pair in Treating Pain Using Network Pharmacology and Molecular Docking Technology.

This study aimed to analyze the potential targets and mechanism of the Tiannanxing-shengjiang drug pair in pain treatment using network pharmacology and molecular docking technology. The active components and target proteins of Tiannanxing-Shengjiang were obtained from the TCMSP database. The pain-related genes were acquired from the DisGeNET database. The common target genes between Tiannanxing-Shengjiang and pain were identified and subjected to the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) pathway enrichment analyses on the DAVID website. AutoDockTools and molecular dynamics simulation analysis were used to assess the binding of the components with the target proteins. Ten active components were screened out, such as stigmasterol, β-sitosterol, and dihydrocapsaicin. A total of 63 common targets between the drug and pain were identified. GO analysis showed the targets to be mainly associated with biological processes, such as inflammatory response and forward regulation of the EKR1 and EKR2 cascade. KEGG analysis revealed 53 enriched pathways, including pain-related calcium signaling, cholinergic synaptic signaling, and serotonergic pathway. Five compounds and 7 target proteins showed good binding affinities. These data suggest that Tiannanxing-shengjiang may alleviate pain through specific targets and signaling pathways. The active ingredients in Tiannanxing-shengjiang might alleviate pain by regulating genes, such as CNR1, ESR1, MAPK3, CYP3A4, JUN, and HDAC1 through the signaling pathways, including intracellular calcium ion conduction, cholinergic prominent signaling, and cancer signaling pathway.

The Pb capture mechanism of soil prophylactic agents prepared from phosphorus tailings and the influence of phosphorus speciation on its slow-release mechanism

This research activated phosphorus tailings to prepare a high‑phosphorus core (HPC) for multi-species composite slow-release heavy metal soil prophylactic agents (MCP), aiming to extend the slow-release period of MCP and enhance the efficiency of Pb stabilization. During the preparation of HPC, the proportion of non-apatitic inorganic phosphorus (NAIP) and apatite phosphorus (AP) continuously decreased with increasing polymerization temperature. At 400 °C, polyphosphates (PP) began to form, reaching 74.26 % at 600 °C. Initially, the rapidly soluble NAIP remained the major component of HPC, but the proportion of AP increased with higher polymerization temperatures, reaching 40.8 % at 600 °C. After 120 days of cultivation with four MCPs (MCP 300-21, MCP 400-12, MCP 500-14, MCP 600-14), the total soil phosphorus (TSP), soil organic matter (SOM), and Pb stabilization capacity of the cultivated soil showed significant improvements, reaching maximum values of 2.39 mg/g, 38.16 mg/g, and 45.4 mg/g, respectively, which are 9.9, 4.4, and 5.9 times higher than those of the CK soil. KEGG (Kyoto Encyclopedia of Genes and Genomes) functional prediction analysis indicated that MCPs contribute directly or indirectly to the forms and chemical stability of Pb by stimulating soil physiological and biochemical processes. This research proposes a novel approach for using phosphates in soil heavy metal management strategies and provides new insights into the mechanisms of heavy metal stabilization in soil using environmental functional materials.

Integrated PacBio SMRT and Illumina sequencing uncovers transcriptional and physiological responses to drought stress in whole-plant Nitraria tangutorum.

Nitraria tangutorum Bobr., a prominent xerophytic shrub, exhibits remarkable adaptability to harsh environment and plays a significant part in preventing desertification in northwest China owing to its exceptional drought and salinity tolerance. To investigate the drought-resistant mechanism underlying N. tangutorum, we treated 8-week-old seedlings with polyethylene glycol (PEG)-6000 (20%, m/m) to induce drought stress. 27 samples from different tissues (leaves, roots and stems) of N. tangutorum at 0, 6 and 24h after drought stress treatment were sequenced using PacBio single-molecule real-time (SMRT) sequencing and Illumina RNA sequencing to obtain a comprehensive transcriptome. The PacBio SMRT sequencing generated 44,829 non-redundant transcripts and provided valuable reference gene information. In leaves, roots and stems, we identified 1162, 2024 and 232 differentially expressed genes (DEGs), respectively. The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that plant hormone signaling and mitogen-activated protein kinase (MAPK) cascade played a pivotal role in transmitting stress signals throughout the whole N. tangutorum plant following drought stress. The interconversion of starch and sucrose, as well as the biosynthesis of amino acid and lignin, may represent adaptive strategies employed by N. tangutorum to effectively cope with drought. Transcription factor analysis showed that AP2/ERF-ERF, WRKY, bHLH, NAC and MYB families were mainly involved in the regulation of drought response genes. Furthermore, eight physiological indexes, including content of proline, hydrogen peroxide (H2O2), malondialdehyde (MDA), total amino acid and soluble sugar, and activities of three antioxidant enzymes were all investigate after PEG treatment, elucidating the drought tolerance mechanism from physiological perspective. The weighted gene co-expression network analysis (WGCNA) identified several hub genes serve as key regulator in response to drought through hormone participation, ROS cleavage, glycolysis, TF regulation in N. tangutorum. These findings enlarge genomic resources and facilitate research in the discovery of novel genes research in N. tangutorum, thereby establishing a foundation for investigating the drought resistance mechanism of xerophyte.

Identification of a Plasma Exosomal lncRNA- and circRNA-Based ceRNA Regulatory Network in Patients With Lung Adenocarcinoma.

Exosomes have been established to be enriched with various long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs) that exert various biological effects. However, the lncRNA- and circRNA-mediated coexpression competing endogenous RNA (ceRNA) regulatory network in exosomes derived from the plasma of patients with lung adenocarcinoma (LUAD) remains elusive. This study enrolled nine patients with lung adenocarcinoma and three healthy individuals, and the differential expression of messenger RNAs (mRNAs), lncRNAs, and circRNAs was detected using microarray analysis, while microRNAs (miRNAs) were detected through RNA sequencing. Additionally, bioinformatics algorithms were applied to evaluate the lncRNA-miRNA-mRNAs/circRNA-miRNA-mRNA network. Differentially expressed cicRNAs were identified via quantitative reverse transcription polymerase chain reaction (RT-qPCR). A total of 1016 lncRNAs, 1396 circRNAs, 45 miRNAs, and 699 mRNAs were differentially expressed in the plasma exosomes of patients with LUAD compared with healthy controls. Among them, 881 lncRNAs were upregulated and 135 were downregulated, 916 circRNAs were upregulated while 480 were downregulated, 45 miRNAs were upregulated while none were downregulated, and 591 mRNAs were upregulated while 108 were downregulated (p ≤ 0.05, and fold change ≥ 2). Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed the biological functions of differentially expressed RNAs. Meanwhile, the RNA networks displayed the regulatory relationship between dysregulated RNAs. Finally, RT-qPCR validated that the expression of circ-0033861, circ-0043273, and circ-0011959 was upregulated in the plasma exosome of patients with LUAD compared to healthy controls (p = 0.0327, p = 0.0002, p = 0.0437, respectively). This study proposed a newly discovered ncRNA-miRNA-mRNA/circRNA-miRNA-mRNA ceRNA network and identified that the expression of circulating circ-0033861, circ-0043273, and circ-0011959 was up-regulated in the plasma exosomes of patients with LUAD, offering valuable insights for exploring the potential function of exosomal noncoding RNA and identifying potential biomarkers for LUAD.

Strychni Semen Combined with Atractylodes Macrocephala Koidz Attenuates Rheumatoid Arthritis by Regulating Apoptosis.

Rheumatoid Arthritis (RA) is a chronic autoimmune disease that can lead to joint pain and disability, and seriously impact patients' quality of life. Strychni Semen combined with Atractylodes Macrocephala koidz (SA) have pronounced curative effect on RA, and there is no poisoning of Strychni Semen (SS). However, its pharmacological mechanisms are still unclear. In this study, we aimed to investigate the pharmacological mechanisms of Strychni Semen combined with Atractylodes Macrocephala Koidz (SA) for the treatment of RA. We used network pharmacology to screen the active components of SA and predict the targets and pathways involved. Results originating from network pharmacology were then verified by animal experiments. Network pharmacology identified 81 active ingredients and 141 targets of SA; 2640 disease- related genes were also identified. The core targets of SA for the treatment of RA included ALB, IL-6, TNF and IL-1β. A total of 354 gene ontology terms were identified by Gene ontology (GO) enrichment analysis. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis results showed that SA was closely associated with TNF signaling pathways in the treatment of RA. Furthermore, according to the predicted results of network pharmacology, we established a rat model of Adjuvant Arthritis (AA) for in vivo experiments. Analysis showed that each treatment group led to an improvement in paw swelling, immune organ coefficient and synovial tissue morphology in AA rats to different degrees, inhibit the expression levels of IL-1β, TNF-α and IL-6, upregulated the levels of Fas, Bax and Caspase 3, down-regulated the expression levels of Fas-L, Bcl-2 and p53. SA has an anti-RA effect, the mechanism underlying the therapeutic action of SA in AA rats was related to the regulation of apoptosis signaling pathways.

Exploring the Mechanisms of Self-made Kuiyu Pingchang Recipe for the Treatment of Ulcerative Colitis and Irritable Bowel Syndrome using a Network Pharmacology-based Approach and Molecular Docking.

Ulcerative colitis (UC) and irritable bowel syndrome (IBS) are common intestinal diseases. According to the clinical experience and curative effect, the authors formulated Kuiyu Pingchang Decoction (KYPCD) comprised of Paeoniae radix alba, Aurantii Fructus, Herba euphorbiae humifusae, Lasiosphaera seu Calvatia, Angelicae sinensis radix, Panax ginseng C.A. Mey., Platycodon grandiforus and Allium azureum Ledeb. The aim of the present study was to explore the mechanisms of KYPCD in the treatment of UC and IBS following the Traditional Chinese Medicine (TCM) theory of "Treating different diseases with the same treatment". The chemical ingredients and targets of KYPCD were obtained using the Traditional Chinese Medicine Systems Pharmacology database and analysis platform (TCMSP). The targets of UC and IBS were extracted using the DisGeNET, GeneCards, DrugBANK, OMIM and TTD databases. The "TCM-component-target" network and the "TCM-shared target-disease" network were imaged using Cytoscape software. The protein-protein interaction (PPI) network was built using the STRING database. The DAVID platform was used to analyze the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Using Autodock Tools software, the main active components of KYPCD were molecularly docked with their targets and visualized using PyMOL. A total of 46 active ingredients of KYPCD corresponding to 243 potential targets, 1,565 targets of UC and 1,062 targets of IBS, and 70 targets among active ingredients and two diseases were screened. Core targets in the PPI network included IL6, TNF, AKT1, IL1B, TP53, EGFR and VEGFA. GO and KEGG enrichment analysis demonstrated 563 biological processes, 48 cellular components, 82 molecular functions and 144 signaling pathways. KEGG enrichment results revealed that the regulated pathways were mainly related to the PI3K-AKT, MAPK, HIF-1 and IL-17 pathways. The results of molecular docking analysis indicated that the core active ingredients of KYPCD had optimal binding activity to their corresponding targets. KYPCD may use IL6, TNF, AKT1, IL1B, TP53, EGFR and VEGFA as the key targets to achieve the treatment of UC and IBS through the PI3K-AKT, MAPK, HIF-1 and IL-17 pathways.

Generation and Characterization of Induced Pluripotent Stem Cells Carrying An ASXL1 Mutation.

Additional sex combs-like 1 (ASXL1) is an epigenetic modulator frequently mutated in myeloid malignancies, generally associated with poorprognosis. Current models for ASXL1-mutated diseases are mainly based on the complete deletion of Asxl1 or overexpression of C-terminal truncations in mice models. However, these models cannot fully recapitulate the pathogenesis of myeloid malignancies. Patient-derived induced pluripotent stem cells (iPSCs) provide valuable disease models that allow us to understand disease-related molecular pathways and develop novel targeted therapies. Here, we generated iPSCs from a patient with myeloproliferative neoplasm carrying a heterozygous ASXL1 mutation. The iPSCs we generated exhibited the morphology of pluripotent cells, highly expressed pluripotent markers, excellent differentiation potency in vivo, and normal karyotype. Subsequently, iPSCs with or without ASXL1 mutation were induced to differentiate into hematopoietic stem/progenitor cells, and we found that ASXL1 mutation led to myeloid-biased output and impaired erythroid differentiation. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses showed that terms related to embryonic development, myeloid differentiation, and immune- and neural-related processes were most enriched in the differentially expressed genes. Western blot demonstrated that the global level of H2AK119ub was significantly decreased when mutant ASXL1 was present. Chromatin Immunoprecipitation Sequencing showed that most genes associated with stem cell maintenance were upregulated, whereas occupancies of H2AK119ub around these genes were significantly decreased. Thus, the iPSC model carrying ASXL1 mutation could serve as a potential tool to study the pathogenesis of myeloid malignancies and to screen targeted therapy for patients.

Mechanism of Yi-Qi-Bu-Shen Recipe for the Treatment of Diabetic Nephropathy Complicated with Cognitive Dysfunction Based on Network Pharmacology and Experimental Validation.

Diabetic nephropathy (DN) and cognitive dysfunction (CD) are common complications of diabetes. Yi-Qi-Bu-Shen Recipe (YQBS) can effectively reduce blood glucose, improve insulin resistance, and delay the progression of diabetic complications. The underlying mechanisms of its effects need to be further studied. This study elucidates the mechanism of YQBS in DN with CD through network pharmacology and experimental validation. Protein-protein interaction, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed. Male Sprague-Dawley (SD) rats were divided into 6 groups: model, YQBS (2, 4, 8 g/kg), positive control (metformin, 200 mg/kg), and control; the DN model was established by high sugar and high fat diet combined with intraperitoneal streptozotocin injection. After the DN model was established, the rats were gavaged for 10weeks. Serum, kidneys, and hippocampus tissues were collected to measure the expression levels of TLR4, NF-κB, TNF-α, and IL-6. The network pharmacology analysis showed that quercetin and kaempferol were the main active components of YQBS. TNF and IL-6 were the key targets, and TLR4/NF-κB pathway was crucial to YQBS in treating DN complicated with CD. Experimental validation showed that the intervention of YQBS can reduce TNF-α and IL-6 in serum, and also significantly decreases the protein expression of TLR4 and NF-κB. YQBS exerts anti-inflammatory effects on DN with CD through TLR4/NF-κB pathway. This study provides a biological basis for the scientific usage of YQBS in inflammation diseases and supplies experimental evidence for future traditional Chinese medicine development.

Apigenin inhibits epithelial mesenchymal transition in renal tubular epithelial cells through PI3K/AKT and NF-κB pathways for treating renal fibrosis

Renal fibrosis is a crucial factor in the progression of chronic kidney diseases. Previous studies have suggested that apigenin (API) has potential in ameliorating renal fibrosis, but its therapeutic mechanism remains unclear. This study aims to elucidate the mechanisms by which API treats renal fibrosis using network pharmacology and experimental validation. Initially, we used the Traditional Chinese Medicine Systems Pharmacology (TCMSP) Database and GeneCards database to identify molecular targets of API and associated genes. Next, we constructed a network of API-renal fibrosis targets, followed by protein–protein interaction (PPI) analysis. Subsequent analyses, such as Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, were performed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID). We also performed molecular docking studies to explore API’s interactions with key proteins. To validate API’s mechanism in treating renal fibrosis, we used a Human Kidney-2 (HK-2) cell model of epithelial-mesenchymal transition (EMT) induced by transforming growth factor-β1 (TGF-β1). We identified 77 API target genes, 8434 renal fibrosis target genes, and 64 intersection genes, which were primarily enriched in nuclear factor kappa-B (NF-κB) and Phosphatidylinositide 3-kinases/protein kinase B (PI3K-AKT) pathways. API significantly inhibited EMT in TGF-β1-induced HK-2 cells by regulating the expression of α-Smooth muscle actin (α-SMA) and E-cadherin and suppressing the protein expression of p-PI3K, p-AKT, and p-P65, which are related to the PI3K-AKT and NF-κB pathways. However, co-administration of the PI3K agonist 740Y-P counteracted API’s inhibitory effects on these protein expressions. In summary, these findings highlight API’s therapeutic potential in treating renal fibrosis by modulating EMT in renal tubular epithelial cells via the PI3K-AKT and NF-κB pathways.

Transcriptomic analysis of immune-related genes in Pacific white snook (Centropomus viridis) gills infected with the monogenean parasite Rhabdosynochus viridisi

The parasite Rhabdosynochus viridisi (Platyhelminthes: Monogenea) infects the Pacific white snook Centropomus viridis gills and can cause adverse effects in the aquaculture industry. The immune responses of Pacific white snook to monogenean infections are poorly understood. Thus, this study aimed to identify differentially expressed genes (DEGs) in the gills of Pacific white snook juveniles experimentally infected with R. viridisi, emphasizing immune-related genes and pathways activated or suppressed during the infection. RNA sequencing was performed on the gills of uninfected (control) and infected fish. The algorithm Seq2Fun was selected without a reference transcriptome to map the reads to transcripts of fishes available from a database for gene orthologs (EcoOmics) and obtain the counting table. The ExpressAnalyst software was used for differential expression and functional analyses. A total of 20,106 transcripts were found, and 1430 (7 %) were differentially expressed genes (DEGs) between infected and control groups. We identified 860 (60 %) downregulated and 570 (40 %) upregulated genes. Thirteen canonical pathways after the Kyoto Encyclopedia of Genes and Genomes (KEGG) database were overrepresented, and most of the DEGs were downregulated, suggesting the inactivation of these pathways. The functions of most of the DEGs with higher fold change found in this study are poorly understood in fish. Even though the well-known pro-inflammatory cytokines remained unchanged in infected gills of C. viridis, and transforming growth factor β (tgfβ) was downregulated, interleukin-17 ligands il17d and il17a/f1, as well as C-X-C motif chemokine receptor 2 (cxcr2) genes were upregulated, indicating that the infection with R. viridisi promotes Th17-like immunity. Overexpression of plasma B cell activity markers such as immunoglobulin light chain-like genes and the v-set pre-B cell surrogate light chain 3 (vpreb3) was also detected in this study. The possible implications of DEGs related to calcium imbalance, hypoxia adaptation, hemostasis, and immunity are discussed. These results will support future studies to improve the prevention and treatment of monogenean infections in finfish aquaculture.

A heterogeneous graph transformer framework for accurate cancer driver gene prediction and downstream analysis

Accurately predicting cancer driver genes remains a formidable challenge amidst the burgeoning volume and intricacy of cancer genomic data. In this investigation, we propose HGTDG, an innovative heterogeneous graph transformer framework tailored for precisely predicting cancer driver genes and exploring downstream tasks. A heterogeneous graph construction module is central to the framework, which assembles a gene-protein heterogeneous network leveraging the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and protein-protein interactions sourced from the STRING (search tool for recurring instances of neighboring genes) database. Moreover, our framework introduces a pioneering heterogeneous graph transformer module, harnessing multi-head attention mechanisms for nuanced node embedding. This transformative module proficiently captures distinct representations for both nodes and edges, thereby enriching the model's predictive capacity. Subsequently, the generated node embeddings are seamlessly integrated into a classification module, facilitating the discrimination between driver and non-driver genes. Our experimental findings evince the superiority of HGTDG over existing methodologies, as evidenced by the enhanced performance metrics, including the area under the receiver operating characteristic curves (AUROC) and the area under the precision-recall curves (AUPRC). Furthermore, the downstream analysis utilizing the newly identified cancer driver genes underscores the efficacy and versatility of our proposed framework.

Predicting gene signature in breast cancer patients with multiple machine learning models

AimsThe aim of this study was to predict gene signatures in breast cancer patients using multiple machine learning models.MethodsIn this study, we first collated and merged the datasets GSE54002 and GSE22820, obtaining a gene expression matrix comprising 16,820 genes (including 593 breast cancer (BC) samples and 26 normal control (NC) samples). Subsequently, we performed enrichment analyses using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Disease Ontology (DO).ResultsWe identified 177 differentially expressed genes (DEGs), including 40 up-regulated and 137 down-regulated genes, through differential expression analysis. The GO enrichment results indicated that these genes are primarily involved in extracellular matrix organization, positive regulation of nervous system development, collagen-containing extracellular matrix, heparin binding, glycosaminoglycan binding, and Wnt protein binding, among others. KEGG enrichment analysis revealed that the DEGs were primarily associated with pathways such as focal adhesion, the PI3K–Akt signaling pathway, and human papillomavirus infection. DO enrichment analysis showed that the DEGs play a significant role in regulating diseases such as intestinal disorders, nephritis, and dermatitis. Further, through LASSO regression analysis and SVM-RFE algorithm analysis, we identified 9 key feature DEGs (CF-DEGs): ANGPTL7, TSHZ2, SDPR, CLCA4, PAMR1, MME, CXCL2, ADAMTS5, and KIT. Additionally, ROC curve analysis demonstrated that these CF-DEGs serve as a reliable diagnostic index. Finally, using the CIBERSORT algorithm, we analyzed the infiltration of immune cells and the associations between CF-DEGs and immune cell infiltration across all samples.ConclusionsOur findings provide new insights into the molecular functions and metabolic pathways involved in breast cancer, potentially aiding in the discovery of new diagnostic and immunotherapeutic biomarkers.

Effects and Mechanisms of Andrographolide for COVID-19: A Network Pharmacology-Based and Experimentally Validated Study

Objective: This study aimed to elucidate the therapeutic effects and underlying mechanisms of andrographolide against COVID-19 through a network pharmacology approach and experimental validation. Methods: Network pharmacology approaches were employed to elucidate potential targets of andrographolide, investigating their overlap with proteins implicated in SARS-CoV-2 infection. The identified targets underwent further analysis through protein-protein interaction (PPI) mapping, gene ontology (GO) categorization, and pathway enrichment within the framework of the Kyoto Encyclopedia of Genes and Genomes (KEGG). Subsequent molecular docking studies provided insights into the binding dynamics between andrographolide and the relevant protein targets. To validate these findings, a series of experimental procedures were conducted, including cytotoxicity assays, quantitative PCR analyses, and the deployment of a SARS-CoV-2 pseudovirus system, using BEAS-2B lung epithelial cells as a model. Results: Bioinformatics analysis revealed that andrographolide potentially modulates proinflammatory cytokines, JAK-STAT signaling, and antiviral immunity pathways in COVID-19. Molecular docking showed favorable binding interactions between andrographolide and its putative targets. In vitro studies confirmed that andrographolide suppressed the mRNA expression of IL-6, TNF-α, IL-1β, and STAT3 and inhibited pseudovirus entry and infection at pharmacologically relevant concentrations. Conclusion: The findings suggest that andrographolide could be a promising candidate for the treatment of COVID-19 due to its capacity to both inhibit SARS-CoV-2 and modulate harmful inflammation. Our findings highlight the potential therapeutic value of andrographolide in treating COVID-19, warranting further exploration in clinical trials.

Network pharmacology, molecular docking and experimental study on the mechanism of Curcumin's anti-ferroptosis in melanocytes

Ferroptosis is a form of regulated nonapoptotic cell death associated with iron-dependent lipid peroxidation, closely associated with Vitiligo. Although the impact of Curcumin (Cur), a polyphenolic compound derived from the plant Curcuma longa Linn, on vitiligo has been established, the specific role and potential mechanistic pathways through which Cur modulates ferroptosis in vitiligo remain elusive. In this study, the critical targets and potential mechanisms of Cur in treating vitiligo were predicted by network pharmacology and molecule docking. Then, the effects of Cur on Erastin-induced ferroptosis were investigated in melanocytes induced by Erastin in vitro. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of Cur acting on Vitiligo found that these intersection genes are associated with the vitiligo oxidative stress pathway, including nuclear factor erythroid 2-related factor 2(Nrf2)/Heme Oxygenase 1(HO-1) signaling pathway. Further molecular docking shows that Cur has a good binding effect with Nrf2(the binding energy of Cur and Nrf2 protein is −6 kcal/mol). Through the CCK8 assay, showed that 10 μM Cur treatment 24 h after Erastin significantly improved cell viability In vitro. Then we found that Erastin induced cell death, ROS production, the mitochondrial membrane potential(MMP) decreased, Superoxide dismutase (SOD) and Glutathione (GSH) levels reduced, Malonaldehyde (MDA) and iron ion accumulation in melanocytes. In addition, the expression of glutathione peroxidase 4(GPX4) mRNA and protein was inhibited, while the expression of acyl-CoA synthetase long-chain family member 4(ACSL4), Transferrin Receptor Protein 1(TFR1) mRNA and protein was increased. However, the damage induced by Erastin was significantly relieved by Cur and Fer-1 treatment. Mechanistically, Cur treatment significantly promoted nuclear translocation of transcriptional factor Nrf2 and HO-1 expression. Interestingly, pretreatment with ML385, a selective Nrf2 inhibitor, counteracted anti-ferroptosis effects induced by Cur treatment. Taken together, these results demonstrate that Cur inhibits ferroptosis by regulating the Nrf2/HO-1 pathway to protect melanocytes.

Protein Modifications During Early Embryo Development.

Infertility is a global reproductive health burden. Assisted reproductive technologies (ARTs) have been widely used to help patients become pregnant. Few embryos develop to the blastocyst stage with ARTs, leading to relatively low live birth rates. Protein modifications play crucial roles in nearly every aspect of cell biology, including reproductive processes. The aim of this study was to explore the characteristics of protein modifications during embryonic development. Proteomic data from humans and mice were acquired from the integrated proteome resources (iProX) of ProteomeXchange (PXD024267) and a tandem mass tag (TMT)-mass spectrometry dataset. Gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were applied for functional annotation. Protein-protein interactions (PPIs) of the modification-related genes were revealed by the STRING database. Modified proteins during mouse embryogenesis were visualized through heatmaps of hierarchically clustering using k-means. We identified modification-related proteins in human embryo development and characterized them through heatmaps, GO analysis, KEGG analysis, and PPI network analysis. We found that the 4-cell stage to the 8-cell stage might be the demarcation period for modification-related protein expression patterns during embryo development. Using quantitative mass spectrometry, we elucidated the methylation, acetylation, and ubiquitination events that occur during mouse embryogenesis to validate our findings in human embryonic development to some extent. The results of our study suggest that the posttranslational modifications (PTMs) of human preimplantation embryos might exhibit the same trends as those in mice to exert synergistic and fine-tuned regulatory effects during embryonic development.

CircRNA expression profiling of the rat thalamus in temporomandibular joint chronic inflammatory pain

Orofacial pain (OFP) induced by temporomandibular disorders (TMDs) is prevalent, affecting approximately 4.6 % of the population. One specific type of TMD is temporomandibular osteoarthritis (TMJOA), a common degenerative disease that significantly impacts patients’ quality of life. Differentially expressed circular RNAs (DEcircRNAs) in the thalamus, which serves as a relay station in the orofacial pain transmission pathway, may play a crucial role and serve as potential target markers for inflammation and the progression of inflammatory pain in TMJOA. The aim of this study was to investigate the expression profile of circRNAs in the thalamus of TMJOA. We obtained the circRNA expression profile from the thalamus of a rat model of TMJOA through high-throughput sequencing (HT-seq) and further validated their expression using reverse transcription real-time polymerase chain reaction (RT-qPCR), followed by bioinformatics analysis of the expression data. A total of 425 circRNAs (DESeq2 p- value < 0.05, |log2FoldChange| > 0.0) were identified as significantly differentially expressed by RNA-Seq, comprising 188 up-regulated and 237 down-regulated circRNAs. After validation via RT-qPCR, we employed miRanda software to predict the binding sites of miRNAs for the identified circRNAs to further explore the functions of DEcircRNAs. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses revealed that DEcircRNAs were primarily enriched in pathways and functions related to synapse development, protein signaling and modification, ’Circadian entertainment’, the ’MAPK signaling pathway’, and ’Glutamatergic synapse’. These findings suggest that DEcircRNAs in the thalamus play a significant role in the progression of TMJOA and may serve as promising candidate molecular targets for gene therapy.