Transcriptomic analysis reveals pharmacological mechanisms mediating efficacy of Yangyinghuoxue Decoction in CCl4-induced hepatic fibrosis in rats.

Background and purpose: As a traditional Chinese medicine formula, Yangyinghuoxue Decoction (YYHXD) is used clinically for therapy of hepatic fibrosis. The pharmacological profile of YYHXD comprises multiple components acting on many targets and pathways, but the pharmacological mechanisms underlying its efficacy have not been thoroughly elucidated. This study aimed at probing the pharmacological mechanisms of YYHXD in the treatment of hepatic fibrosis. Methods: YYHXD aqueous extract was prepared and quality control using HPLC-MS fingerprint analysis was performed. A CCl4-induced rat model of hepatic fibrosis was established, and animals were randomly assigned to six groups: control, low-dose YYHXD (L-YYHXD), medium-dose YYHXD (M-YYHXD), high-dose YYHXD (H-YYHXD), CCl4 model, and colchicine group. Rats in the treatment groups received daily oral administration of YYHXD (5, 10, or 20 g/kg) or colchicine (0.2 mg/kg) for 6 weeks, while the control and model groups received distilled water. Histological analysis, including hematoxylin and eosin (HE) and Masson's trichrome staining, was performed to evaluate hepatic fibrosis. Serum biochemical markers, such as AST, ALT, HA, and LN, were measured. Inflammatory cytokines (IL-6 and TNF-α) and oxidative stress indicators (SOD, GSH-Px, and MDA) in hepatic tissue were also assessed. Additionally, transcriptomic analysis using RNA-sequencing was conducted to identify differentially expressed genes (DEGs) between the control, CCl4 model, and H-YYHXD groups. Bioinformatics analysis, including differential expression analysis, protein-protein interaction analysis, and functional enrichment analysis, were performed to probe the pharmacological mechanisms of YYHXD. The regulatory effects of YYHXD on fatty acid metabolism and biosynthesis were further confirmed by Oil Red O staining, enzyme activity assays, qPCR, and Western blotting. Western blotting and immunofluorescence staining also validated the involvement of the AMPK signaling pathway in the occurrence and progression of hepatic fibrosis. Results: HE and Masson's trichrome staining revealed reduced collagen deposition and improved liver architecture in YYHXD groups compared to the CCl4 model group. Serum biochemical markers, including AST, ALT, HA, and LN, were significantly improved in the YYHXD-treated groups compared to the CCl4 model group. The levels of inflammatory cytokines (IL-6 and TNF-α) and oxidative stress indicators (decreased SOD and GSH-Px, increased MDA) in hepatic tissue were significantly ameliorated by YYHXD treatment compared to the CCl4 model group. Moreover, 96 genes implicated in YYHXD therapy of hepatic fibrosis were screened from the transcriptomic data, which were principally enriched in biological pathways such as fatty acid metabolism and biosynthesis, and the AMPK signaling pathway. Oil Red O staining showed reduced hepatic lipid accumulation by YYHXD in a dose-dependent manner, along with decreased serum TG, TC, and LDL-C levels. Additionally, qPCR and Western blot analyses demonstrated upregulated mRNA and protein expression of key enzymes involved in fatty acid metabolism and biosynthesis, Fasn and Fads2, modulated by YYHXD. YYHXD also dose-dependently enhanced phosphorylation of AMPK as evidenced by Western blotting and immunofluorescence assays. Conclusion: YYHXD ameliorated CCl4-induced hepatic fibrosis in rats through pharmacological mechanisms that involved manifold targets and pathways, including aliphatic acid synthesis and metabolism pathways and the AMPK signaling pathway. This study provided a reference and basis for further research and clinical utilization of YYHXD.

Yangyinghuoxue decoction exerts a treatment effect on hepatic fibrosis by PI3K/AKT pathway in rat model: based on the network pharmacology and molecular docking.

BACKGROUND: Yangyinghuoxue decoction (YYHXD) is a Traditional Chinese medicine (TCM) compound with satisfactory clinical efficacy in the treatment of hepatic fibrosis (HF). However, the pharmacological molecular mechanisms of YYHXD in the treatment of hepatic fibrosis have not yet been clarified. OBJECTIVE: To determine the pharmacological mechanisms of YYHXD for the treatment of hepatic fibrosis via network pharmacology analysis combined with experimental verification. METHODS: First, the bioactive ingredients and potential targets of YYHXD and HF-related targets were retrieved from the online databases and literatures. Next, the "herb-ingredient-target-disease" network and PPI network were constructed for topological analyses and key active compounds and targets screening. Enrichment analyses were performed to identify the critical biological processes and signaling pathways. Then, the molecular docking experiment was performed to initially validate the network pharmacology prediction results. Finally, the antifibrotic effect and pharmacological mechanisms of YYHXD were investigated in CCl4 induced liver fibrosis in rats. RESULTS: In total, 141 active compounds in YYHXD, 637 YYHXD-related targets and 1598 liver fibrosis-related targets were identified. Among them, 69 overlapped targets were finally obtained. Network analysis screened 5 critical bioactive components and 34 key targets. Functional enrichment analysis indicated that YYHXD obviously influenced biological processes such as oxidative stress, cellular inflammation and hepatocyte apoptosis and signaling pathways such as PI3K-Akt, Apoptosis, and JAK-STAT in the treatment of HF. The molecular docking results suggested that the YYHXD may have a direct impact on the PI3K-Akt signaling pathway. Further, in vivo experiment indicated that YYHXD treatment not only reduced liver injury and protected liver function, but also decrease the apoptosis of hepatic parenchyma cells, reducing inflammatory and attenuating oxidative stress. Moreover, YYHXD significantly attenuated the upregulation of target proteins enriched in PI3K signaling pathway, including P-PI3K, P-Akt1, HSP90, MYC, p53. CONCLUSIONS: The mechanisms of YYHXD against liver fibrosis were involved in multiple ingredients, multiple targets and multiple signaling pathways. The PI3K/Akt pathway could be the most important pharmacological mechanism of YYHXD therapy for liver fibrosis.

Identification of key ferroptosis genes and mechanisms associated with breast cancer using bioinformatics, machine learning, and experimental validation.

OBJECTIVE: The aim of this paper is to mine ferroptosis genes associated with breast cancer based on bioinformatics and machine learning, and to perform in vitro functional validation. METHODS: Transcriptional and clinical data of breast cancer patients were downloaded from TCGA database and ferroptosis-related genes were obtained from FerrDB database. Significant differentially expressed ferroptosis-related genes between breast cancer tissues and adjacent normal tissues were selected. Functional enrichment analysis was performed on these differentially expressed genes. Four machine learning algorithms were used to identify key ferroptosis-related genes associated with breast cancer. A multi-factor Cox regression analysis was used to construct a risk score model for the key ferroptosis-related genes. The accuracy of the risk score model was validated using Kaplan-Meier survival curve analysis and receiver operating characteristic (ROC) curve analysis. Finally, cell experiments were conducted to validate the biological functions of the key ferroptosis-related genes in breast cancer cells MCF-7, further confirming the accuracy of the analysis results. RESULTS: A total of 52 significantly differentially expressed ferroptosis-related genes were identified, which were mainly enriched in cancer pathways, central carbon metabolism in cancer, HIF-1 signaling pathway, and NOD-like receptor signaling pathway. Three key ferroptosis-related genes (TXNIP, SLC2A1, ATF3) closely related to the occurrence, development, and prognosis of breast cancer were identified using machine learning algorithms. The risk model constructed using these three key ferroptosis-related genes showed that the prognosis of the low-risk group was better than that of the high-risk group (P < 0.001). The ROC curve analysis showed that the prognosis model had good predictive ability. In vitro experiments validated the reliability of the bioinformatics and machine learning screening results. Downregulation of SLC2A1 expression promoted ferroptosis and suppressed tumor cell growth in breast cancer cells (P < 0.01), while overexpression of TXNIP or ATF3 had the same effect (P < 0.01). CONCLUSION: This study identified three key ferroptosis-related genes (TXNIP, SLC2A1, ATF3) associated with breast cancer, which are closely related to the occurrence, development, and prognosis of breast cancer.

Revealing immune infiltrate characteristics and potential immune-related genes in hepatic fibrosis: based on bioinformatics, transcriptomics and q-PCR experiments.

Background: The occurrence and progression of hepatic fibrosis (HF) is accompanied by inflammatory damage. Immune genes play a pivotal role in fibrogenesis and inflammatory damage in HF by regulating immune cell infiltration. However, the immune mechanisms of HF are inadequately studied. Therefore, this research aims to identify the immune genes and biological pathway which involved in fibrosis formation and inflammatory damage in HF and explore immune target-based therapeutics for HF. Methods: The expression dataset GSE84044 of HF was downloaded from the GEO database. The crucial module genes for HF were screened according to weighted gene co-expression network analysis (WGCNA). The crucial module genes were mapped to immune-related genes obtained from the ImmPort database to obtain the hepatic fibrosis immune genes (HFIGs). In addition, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses were performed on HFIGs. Then, the protein-protein interaction (PPI) network was conducted on HFIGs and hub genes were identified from the PPI network. Moreover, immune infiltration analysis was performed to identified correlation between hub gene and immune cell infiltration. To verify the reliability of the GSE84044 expression profile data analysis, a rat model of CCl4-induced HF was established, followed by transcriptome sequencing and immunofluorescence analysis and quantitative reverse transcription (q-PCR) experiments were performed in HF rats and normal rat liver tissues. Finally, CMAP platform was used to explore immune target-based therapeutics for HF. Results: In the bioinformatics analysis of GSE84044 data, 98 HFIGs were screened. These genes were mainly involved in inflammation-related biological pathways such as NOD-like receptor signaling pathway, NF-kappa B signaling pathway, Toll-like receptor signaling pathway and PI3K-Akt signaling pathway. From the PPI network, 10 hub genes were identified, including CXCL8, IL18, CXCL10, CD8A, IL7, PTPRC, CCL5, IL7R, CXCL9 and CCL2. Immune infiltration analysis showed that immune cells like neutrophils, natural killer (NK) cells, macrophages M1 and macrophages M2 were significantly correlated with the hepatic fibrosis process and hub gene expression was significantly correlated with these immune cells. Notably, most of the biological pathways HFIGs riched and all the hub gene expression except CXCL8 were validated in subsequent transcriptome and qRCR experiments. Finally, 15 small molecule compounds with the potential to reverse the high expression of hub genes were screen out as potential therapeutic agents for HF. Conclusion: The immune genes CXCL8, IL18, CXCL10, CD8A, IL7, PTPRC, CCL5, IL7R, CXCL9 and CCL2 may play an essential role in the fibrosis formation and inflammatory damage in HF. The outcomes of this research provide a basis for the study of the immune mechanisms of HF and contribute to the diagnosis and prevention and treatment of HF in clinical practice.

Genome-wide association study of agronomic traits related to nitrogen use efficiency in wheat.

KEY MESSAGE: GWAS identified 347 QTLs associated with eight traits related to nitrogen use efficiency in a 389-count wheat panel. Four novel candidate transcription factor genes were verified using qRT-PCR. Nitrogen is an essential nutrient for plants that determines crop yield. Improving nitrogen use efficiency (NUE) should considerably increase wheat yield and reduce the use of nitrogen fertilisers. However, knowledge on the genetic basis of NUE during wheat maturity is limited. In this study, a diversity panel incorporating 389 wheat accessions was phenotyped for eight NUE-related agronomic traits across five different environments. A total of 347 quantitative trait loci (QTLs) for low nitrogen tolerance indices (ratio of agronomic characters under low and high nitrogen conditions) were identified through a genome-wide association study utilising 397,384 single nucleotide polymorphisms (SNPs) within the MLM (Q + K) model, including 11 stable QTLs. Furthermore, 69 candidate genes were predicted for low nitrogen tolerance indices of best linear unbiased predictions values of the eight studied agronomic traits, and four novel candidate transcription factors (TraesCS5A02G237500 for qFsnR5A.2, TraesCS5B02G384500 and TraesCS5B02G384600 for qSLR5B.1, and TraesCS3B02G068800 for qTKWR3B.1) showed differing expression patterns in contrasting low-nitrogen-tolerant wheat genotypes. Moreover, the number of favourable marker alleles calculated using NUE that were significantly related to SNP in accessions decreased over the decades, indicating a decline in the NUE of the 389 wheat varieties. These findings denote promising NUE markers that could be useful in breeding high-NUE wheat varieties, and the candidate genes could further detail the NUE-related regulation network in wheat.