iridoids has been researched along with Ischemia* in 3 studies
3 other study(ies) available for iridoids and Ischemia
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Loganin exerts a protective effect on ischemia-reperfusion-induced acute kidney injury by regulating JAK2/STAT3 and Nrf2/HO-1 signaling pathways.
To investigate the role of loganin in hypoxia/reperfusion (H/R)-induced renal tubular epithelial cells and ischemia/reperfusion-induced acute kidney injury (AKI). Cells were received H/R treatment and cultured with different concentrations of loganin. The cell activity and apoptosis were detected. The expressions of apoptosis-related proteins, inflammatory factors, oxidative stress related molecules, and related molecules of JAK2/STAT3 and Nrf2/HO-1 signaling pathways were measured. AKI model of mice was established by I/R procedure, and the kidney was collected for hematoxylin and eosin (HE) staining. H/R treatment inhibited cell activity and apoptosis, but loganin attenuated the effect of H/R. Moreover, loganin inhibited H/R-induced inflammatory response and oxidative stress in tubular epithelial cells. Loganin down-regulated the expression of apoptosis-related proteins, suppressed JAK2/STAT3 pathway, and activated Nrf2/HO-1 pathway. In animal experiment, loganin reduced tubular injury in AKI mice.Loganin had anti-apoptotic, anti-inflammatory, and anti-oxidative stress effects on H/R-induced tubular epithelial cells, and could improve AKI in mice induced by I/R. This effect might be achieved by inhibiting JAK2/STAT3 and activating the Nrf2/HO-1 signaling pathway. Topics: Acute Kidney Injury; Animals; Apoptosis; Heme Oxygenase-1; Iridoids; Ischemia; Kidney; Mice; NF-E2-Related Factor 2; Oxidative Stress; Reperfusion; Reperfusion Injury; Signal Transduction | 2022 |
Variation of pathways and network profiles reveals the differential pharmacological mechanisms of each effective component to treat middle cerebral artery ischemia-reperfusion mice.
Using a system pharmacology strategy, this study evaluated the unique pharmacological characteristics of three different neuroprotective compounds for the treatment of cerebral ischemia-reperfusion. A microarray including 374 brain ischemia-related genes was used to identify the differentially expressed genes among five treatment groups: baicalin, jasminoidin, ursodeoxycholic acid, sham, and vehicle, and MetaCore analysis software was applied to identify the significantly altered pathways, processes and interaction network parameters. At pathway level, 46, 25, and 31 pathways were activated in the baicalin, jasminoidin, and ursodeoxycholic acid groups, respectively. Thirteen pathways mainly related with apoptosis and development were commonly altered in the three groups. Additionally, baicalin also targeted pathways related with development, neurophysiologic process and cytoskeleton remodeling, while jasminoidin targeted pathways related with cell cycle and ursodeoxycholic acid targeted those related with apoptosis and development. At process level, three processes were commonly regulated by the three groups in the top 10 processes. Further interaction network analysis revealed that baicalin, jasminoidin, and ursodeoxycholic acid displayed unique features either on network topological parameters or network structure. Additional overlapping analysis demonstrated that compared with ursodeoxycholic acid, the pharmacological mechanism of baicalin was more similar with that of jasminoidin in treating brain ischemia. The data presented in this study may contribute toward the understanding of the common and differential pharmacological mechanisms of these three compounds. Topics: Animals; Flavonoids; Gene Expression Profiling; Gene Regulatory Networks; Iridoids; Ischemia; Male; Metabolic Networks and Pathways; Mice; Microarray Analysis; Middle Cerebral Artery; Neuroprotective Agents; Reperfusion Injury; Ursodeoxycholic Acid | 2016 |
Synergism and rules from combination of Baicalin, Jasminoidin and Desoxycholic acid in refined Qing Kai Ling for treat ischemic stroke mice model.
Refined Qing-Kai-Ling (QKL), a modified Chinese medicine, consists of three main ingredients (Baicalin, Jasminoidin and Desoxycholic acid), plays a synergistic effect on the treatment of the acute stage of ischemic stroke. However, the rules of the combination and synergism are still unknown. Based on the ischemic stroke mice model, all different kinds of combination of Baicalin, Jasminoidin, and Desoxycholic acid were investigated by the methods of neurological examination, microarray, and genomics analysis. As a result, it confirmed that the combination of three drugs offered a better therapeutical effect on ischemic stroke than monotherapy of each drug. Additionally, we used Ingenuity pathway Analysis (IPA) and principal component analysis (PCA) to extract the dominant information of expression changes in 373 ischemia-related genes. The results suggested that 5 principal components (PC1-5) could account for more than 95% energy in the gene data. Moreover, 3 clusters (PC1, PC2+PC5, and PC3+PC4) were addressed with cluster analysis. Furthermore, we matched PCs on the drug-target networks, the findings demonstrated that Baicalin related with PC1 that played the leading role in the combination; Jasminoidin related with PC2+PC5 that played a compensatory role; while Desoxycholic acid had the least performance alone which could relate with PC3+PC4 that played a compatible role. These manifestations were accorded with the principle of herbal formulae of Traditional Chinese Medicine (TCM), emperor-minister-adjuvant-courier. In conclusion, we firstly provided scientific evidence to the classic theory of TCM formulae, an initiating holistic viewpoint of combination therapy of TCM. This study also illustrated that PCA might be an applicable method to analyze the complicated data of drug combination. Topics: Animals; Cluster Analysis; Computational Biology; Deoxycholic Acid; Disease Models, Animal; Drug Combinations; Drugs, Chinese Herbal; Enzyme Inhibitors; Flavonoids; Gene Expression Profiling; Gene Expression Regulation; Iridoids; Ischemia; Male; Mice; Models, Statistical; Oligonucleotide Array Sequence Analysis; Polymerase Chain Reaction; Principal Component Analysis; Stroke | 2012 |