Naringin as a natural candidate for anti-autoimmune hepatitis: Inhibitory potency and hepatoprotective mechanism.

BACKGROUND: Autoimmune hepatitis (AIH), primarily mediated by T cells, is characterized by liver inflammation. Despite the advancements in understanding its pathogenesis, effective therapeutic options are limited. Naringin, a flavonoid abundant in citrus fruits, is recognized for its anti-inflammatory properties and ability to protect against various inflammatory diseases, including drug-induced liver injury. However, the exact effects of naringin on AIH and the mechanisms involved remain poorly understood. PURPOSE: We aim to determine the role of naringin in AIH, exploring its targets and actions in this disease. METHODS: Network pharmacology, molecular docking, and molecular dynamics simulations were utilized to predict the HUB targets connecting naringin, T cell-mediated autoimmune disorders, and AIH. Cellular thermal shift assays were used to determine the binding abilities of naringin with the HUB targets. An in vivo experiment confirmed the impact of naringin treatment on AIH development and underlying mechanisms. RESULTS: Naringin demonstrated therapeutic effects on ConA-induced AIH. There were 455 shared targets between naringin, T cell-mediated autoimmune diseases, and AIH. Ten HUB genes (AKT1, ALB, IL-6, IL-1ß, CTNNB1, TNF, TP53, MAPK3, VEGFA, and JUN) were identified through the PPI network. Gene ontology analysis revealed involvement in gene expression regulation, lipopolysaccharide-mediated signaling, and I-kappa kinase/NFκB signaling. Pathway analysis suggested TNF, Th1/Th2 cell differentiation, and Toll-like receptor pathways, with favorable naringin-HUB gene binding. Molecular docking confirmed albumin (ALB), IL-1ß, IL-6, and TNF as primary targets for naringin. Molecular dynamics simulations showed stable binding in ALB-naringin, TNF-naringin, and IL-1ß-naringin complexes. Naringin's hepatoprotective effect on AIH was supported by increased serum ALB and decreased hepatic inflammatory cytokines including IL-1ß, IL-6, and TNF-α. CONCLUSION: Our data underscore the potential of naringin as a preventive or therapeutical agent in T cell-mediated autoimmune diseases including AIH.

Exploring the action mechanism of Jinxin oral liquid on asthma by network pharmacology, molecular docking, and microRNA recognition.

Using network pharmacology, molecular docking, and microRNA recognition, we have elucidated the mechanisms underlying the treatment of asthma by Jinxin oral liquid (JXOL). We began by identifying and normalizing the active compounds in JXOL through searches in the traditional Chinese medicine systems pharmacology database, SwissADME database, encyclopedia of traditional Chinese medicine database, HERB database, and PubChem. Subsequently, we gathered and standardized the targets of these active compounds from sources including the encyclopedia of traditional Chinese medicine database, similarity ensemble approach dataset, UniProt, and other databases. Disease targets were extracted from GeneCards, PharmGKB, OMIM, comparative toxicogenomics database, and DisGeNET. The intersection of targets between JXOL and asthma was determined using a Venn diagram. We visualized a Formula-Herb-Compound-Target-Disease network and a protein-protein interaction network using Cytoscape 3.9.0. Molecular docking studies were performed using Schrodinger software. To identify pathways related to asthma, we conducted gene ontology functional analysis and Kyoto encyclopedia of genes and genomes pathway enrichment analysis using Metascape. MicroRNAs regulating the hub genes were obtained from the miRTarBase database, and a network linking these targets and miRNAs was constructed. Finally, we found 88 bioactive components in JXOL and 218 common targets with asthma. Molecular docking showed JXOL key compounds strongly bind to HUB targets. According to gene ontology biological process analysis and Kyoto encyclopedia of genes and genomes pathway enrichment analysis, the PI3K-Akt signaling pathway, the MAPK signaling pathway, or the cAMP signaling pathway play a key role in treating of asthma by JXOL. The HUB target-miRNA network showed that 6 miRNAs were recognized. In our study, we have revealed for the first time the unique components, multiple targets, and diverse pathways in JXOL that underlie its mechanism of action in treating asthma through miRNAs.

Combined bulk RNA and single-cell RNA analyses reveal TXNL4A as a new biomarker for hepatocellular carcinoma.

Introduction: Hepatocellular carcinoma (HCC) has a high mortality rate worldwide. The dysregulation of RNA splicing is a major event leading to the occurrence, progression, and drug resistance of cancer. Therefore, it is important to identify new biomarkers of HCC from the RNA splicing pathway. Methods: We performed the differential expression and prognostic analyses of RNA splicing-related genes (RRGs) using The Cancer Genome Atlas-liver hepatocellular carcinoma (LIHC). The International Cancer Genome Consortium (ICGC)-LIHC dataset was used to construct and validate prognostic models, and the PubMed database was used to explore genes in the models to identify new markers. The screened genes were subjected to genomic analyses, including differential, prognostic, enrichment, and immunocorrelation analyses. Single-cell RNA (scRNA) data were used to further validate the immunogenetic relationship. Results: Of 215 RRGs, we identified 75 differentially expressed prognosis-related genes, and a prognostic model incorporating thioredoxin like 4A (TXNL4A) was identified using least absolute shrinkage and selection operator regression analysis. ICGC-LIHC was used as a validation dataset to confirm the validity of the model. PubMed failed to retrieve HCC-related studies on TXNL4A. TXNL4A was highly expressed in most tumors and was associated with HCC survival. Chi-squared analyses indicated that TXNL4A expression positively correlated positively with the clinical features of HCC. Multivariate analyses revealed that high TXNL4A expression was an independent risk factor for HCC. Immunocorrelation and scRNA data analyses indicated that TXNL4A was correlated with CD8 T cell infiltration in HCC. Conclusion: Therefore, we identified a prognostic and immune-related marker for HCC from the RNA splicing pathway.

P2X4 receptor modulates gut inflammation and favours microbial homeostasis in colitis.

BACKGROUND: Inflammatory bowel disease (IBD) is a non-specific chronic inflammatory disease of the intestine. In addition to genetic susceptibility, environmental factors and dysregulated host immunity, the gut microbiota is implicated in the pathogenesis of Crohn's disease (CD) or ulcerative colitis (UC), the two primary types of IBD. The P2X4 receptor has been demonstrated to have a crucial role in preventing infection, inflammation, and organ damage. However, it remains unclear whether the P2X4 receptor affects IBD and the underlying mechanisms. METHODS: Colitis was induced in mice administrated with dextran sodium sulphate (DSS). 16S rDNA sequencing was used to analyze the gut microbiota in knockout and wild-type mice. Clinical and histopathological parameters were monitored throughout the disease progression. RESULTS: Gene Expression Omnibus analysis showed the downregulation of P2RX4 (P2rx4) expression in colonic tissues from patients or mice with IBD. However, its expression at the protein levels was upregulated on day 4 or 6 and then downregulated on day 7 in C57BL/6 mice treated with DSS. Gene ablation of P2rx4 aggravated DSS-induced colitis accompanying gut microbiota dysbiosis in mice. Moreover, P2X4 receptor-positive modulator ivermectin alleviated colitis and corrected dysregulated microbiota in wild-type C57BL/6 mice. Further antibiotic-treated gut microbiota depletion, cohousing experiment, and fecal microbiota transplantation proved that gut microbiota dysbiosis was associated with the aggravation of colitis in the mouse model initiated by P2rx4. CONCLUSIONS: Our findings elaborate on an unrevealed etiopathophysiological mechanism by which microbiota dysbiosis induced by the P2X4 receptor influences the development of colitis, indicating that the P2X4 receptor represents a promising target for treating patients with CD and UC.

USP33 enhances cell survival and stemness by deubiquitinating CTNNB1 in BXPC-3 and SW1990 cells.

Ubiquitin-specific protease 33 (USP33) has been implicated in various cancers, but its biological function and mechanism of action remain unknown in pancreatic cancer (PCa) as a deubiquitinating enzyme. Herein, we report that USP33 silencing inhibits PCa cell survival and self-renewal. USPs highly expressed in spherical PCa cells were screened by comparing the levels of ubiquitin-specific proteases in spherical PCa cells and adherent PCa cells. After silencing USP, the effect of USP on the proliferation of PCa cells was detected by CCK-8 and colony formation assay, and the effect of USP on cell stemness was detected by tumor sphere formation assay, flow analysis, and western blot analysis. The interaction of USP with CTNNB1 and the effect of USP on the ubiquitination of CTNNB1 were verified by coimmunoprecipitation assay. After replenishing CTNNB1, cell proliferation and cell stemness were examined. USP33 is upregulated in spheric BXPC-3, PCNA-1, and SW1990, compared with adherent BXPC-3, PCNA-1, and SW1990. USP33 interacts with CTNNB1, and stabilizes CTNNB1 by suppressing its degradation. Furthermore, cell proliferation, colony-forming, and self-renewal abilities of PCa cells in vitro, and the expression of stem cell markers EpCAM and CD44, C-myc, Nanog, and SOX2, were suppressed when USP33 was knocked down, which was reversed when CTNNB1 was ectopically expressed in PCa cells. Thus, USP33 promotes PCa cell proliferation and self-renewal by inhibiting the degradation of CTNNB1. USP33 inhibition may be a new treatment option for PCa patients.

Age at menarche and ischemic heart disease: An update mendelian randomization study.

Background: Although earlier menarche age has been associated with ischemic heart disease in previous observational studies, the relationship's causation has not been shown. Through two-sample Mendelian randomization (MR), we were able to define the causal connection. Methods: We performed Mendelian Randomization (MR) analysis to explore the associations between genetically predicted AAM and IHD. Summary-level databases for exposure and outcome were selected from the MR-Base database (https://gwas.mrcieu.ac.uk/). Single-nucleotide polymorphisms (SNPs) connected to AAM at genome-wide significance level (p < 5 × 10-8) were considered as instrumental variables (IVs). We used four methods to pool MR estimates, including fixed-effects inverse variance weighting (fe-IVW), multiplicative random-effects inverse variance weighting (mre-IVW), weighted median (WM), and MR-Egger regression methods. Sensitivity analyses were performed to evaluate the robustness of the results. PhenoScanner searches and Multivariable Mendelian randomization (MVMR) analysis was used for assessing confounders. Results: 117 SNPs significantly correlated with AAM were screened as instruments, the results of three main methods showed that genetically earlier AAM may have a causal effect on the higher risk of IHD (fe-IVW: OR = 0.80, 95% CI: 0.72-0.88, p < 0.001; mre-IVW: OR = 0.80, 95% CI: 0.70-0.90, p < 0.001; WE: OR = 0.79, 95% CI: 0.66-0.93, p = 0.006). These results were consistent across sensitivity analyses. MR analysis revealed that there was still a relationship between AAM and IHD even when pleiotropic SNPs of confounders were removed employing PhenoScanner searches. In MVMR, the significant association remained after adjusting for biological sex, but it was attenuated with adjustment of body mass index including childhood and adult. Conclusion: Our MR analysis revealed a substantial genetically determined confounder-mediated relationship between an increase in genetically predicted AAM and a lower risk of IHD. By addressing the intervention of body mass index, the risk of IHD may be lowered.

[Application of Patient Intelligent Monitoring System Based on Internet of Things and Cloud Platform].

In order to reduce the work intensity of traditional medical staff on patient patrol and timely understand the status of various indicators of patients, a set of patient intelligent monitoring system which based on Internet of things and cloud platform is designed. This study uses the internet of things technology to monitor the patient's heartbeat, pulse, ballistocardiography, body position, whether out of bed and sleep quality. The data is transmitted through optical fiber sensing technology and uploaded to the cloud platform to understand the patient's situation in real time. The results show that the system has stable performance and can ensure the real-time and accuracy of medical information. Meeting the needs of ward front-line management, not only reduce the workload of nurses, but also improve work efficiency. It is great significance to ward management and the development of hospital information construction.

Emerging Role for Exosomes in the Progress of Stem Cell Research.

Exosomes are small secretory vesicles that are involved in intercellular communication. Exosomes are secreted by many types of cells and exert important functions in plasma-membrane exchange as well as the transport of bioactive substances, such as proteins, messenger ribonucleic acids (mRNAs), micro ribonucleic acids (miRNAs) and organelles. Exosomes may regulate physiological processes by altering gene regulatory networks or epigenetic recombination. Recent studies have shown that exosomes secreted by stem cells can effectively transport proteins, mRNAs and miRNAs and play important roles in the regulation of tissue regeneration. This report reviews current progress in exosome studies as well as their emerging roles in stem cell research and potential clinical use.

[Expression of multiepitope antigenic gene of Toxoplasma gondii in transgenic tomatoes].

OBJECTIVE: To obtain the transgenic tomato plant expressed multiepitope antigenic gene of Toxoplasma gondii (Tg-MAG). METHODS: Tg-MAG under the control of E35S promoter, E35S-E81.1 chimeric promoter and E8 2.2 promoter in the plant expression vectors was transferred into the tomato cotyledons and hypocotyls via Agrobacterium-mediated T-DNA transformation. The candidate buds were obtained and elongated by kanamycin resistant screening. After further rooting selection, the selected tomato lines were trained and transplanted to soil and grown in a greenhouse till blossoming and bearing fruit. The transgenic tomato plants were identified using PCR, RT-PCR and Western blotting. RESULTS: Tg-MAG was introduced into the transgenic plant genomic DNA and transcribed correctly at expected size 360 bp identified by PCR and RT-PCR. Western blotting results indicated that the recombinant Tg-MAG from 8 transgenic lines, expressed in tomato fruits at expected size 11900, 2 of them showed strong reaction band with HRP labeled McAb K7H3 against the major surface antigen 1( SAG1) of T. gondii tachyzoites. CONCLUSION: Tg-MAG transgenic tomato lines were obtained. Tg-MAG recombinant protein with good immune activity was expressed successfully in transgenic tomato fruits.