Combining metabolomics and network pharmacology to investigate the protective effect of Jiawei Xinglou Chengqi Granules in ischemic stroke.

Jiawei Xinglou Chengqi Granule (JXCG) is an effective herbal medicine for the treatment of ischemic stroke (IS). JXCG has been shown to effectively ameliorate cerebral ischemic symptoms in clinical practice, but the underlying mechanisms are unclear. In this study, we investigated the mechanisms of action of JXCG in the treatment of IS by combining metabolomics with network pharmacology. The chemical composition of JXCG was analyzed using ultra-high performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS). Ultra-high performance liquid chromatography-tandem time-of-flight mass spectrometry (UHPLC-Q-TOF MS) untargeted metabolomics were used to identify differential metabolites within metabolic pathways. Network pharmacology was applied to mine potential targets of JXCG in the treatment of IS. The identified key targets were validated by constructing an integrated network of metabolomics and network pharmacology and by molecular docking using Cytoscape. The effect of JXCG on IS was evaluated in vivo, and the predicted targets and pathways of JXCG in IS therapy were assessed using immunoblotting. Combining metabolomics and network pharmacology, we identified the therapeutic targets of JXCG for IS. Notably, JXCG lessened neuronal damage and reduced cerebral infarct size in rats with IS. Western blot analysis showed that JXCG upregulated PRKCH and downregulated PRKCE and PRKCQ proteins. Our combined network pharmacology and metabolomics findings showed that JXCG may have therapeutic potential in the treatment of IS by targeting multiple factors and pathways.

Combining metabolomics and network pharmacology to investigate the protective effect of Jiawei Xinglou Chengqi Granules in ischemic stroke

Jiawei Xinglou Chengqi Granule (JXCG) is an effective herbal medicine for the treatment of ischemic stroke (IS). JXCG has been shown to effectively ameliorate cerebral ischemic symptoms in clinical practice, but the underlying mechanisms are unclear. In this study, we investigated the mechanisms of action of JXCG in the treatment of IS by combining metabolomics with network pharmacology. The chemical composition of JXCG was analyzed using ultra-high performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS). Ultra-high performance liquid chromatography-tandem time-of-flight mass spectrometry (UHPLC-Q-TOF MS) untargeted metabolomics were used to identify differential metabolites within metabolic pathways. Network pharmacology was applied to mine potential targets of JXCG in the treatment of IS. The identified key targets were validated by constructing an integrated network of metabolomics and network pharmacology and by molecular docking using Cytoscape. The effect of JXCG on IS was evaluated in vivo, and the predicted targets and pathways of JXCG in IS therapy were assessed using immunoblotting. Combining metabolomics and network pharmacology, we identified the therapeutic targets of JXCG for IS. Notably, JXCG lessened neuronal damage and reduced cerebral infarct size in rats with IS. Western blot analysis showed that JXCG upregulated PRKCH and downregulated PRKCE and PRKCQ proteins. Our combined network pharmacology and metabolomics findings showed that JXCG may have therapeutic potential in the treatment of IS by targeting multiple factors and pathways.

Development and validation of a practical prognostic nomogram for evaluating inpatient mortality of cirrhotic patients with acute variceal hemorrhage.

INTRODUCTION AND OBJECTIVES: Cirrhotic patients with acute variceal hemorrhage (AVH) have high short-term mortality. Established prognostic scores are seldom applicable clinically, partially because they need external validation or contain subjective variables. We aimed to develop and validate a practical prognostic nomogram based on objective predictors to predict prognosis for cirrhotic patients with AVH. PATIENTS AND METHODS: We enrolled 308 AVH patients with cirrhosis from our center as the derivation cohort to develop a new nomogram using logistic regression and validated it in cohorts of patients from Medical Information Mart for Intensive Care (MIMIC) III (n = 247) and IV (n = 302). RESULTS: International normalized ratio (INR), albumin (ALB) and estimated glomerular filtration rate (eGFR) were identified as predictors for inpatient mortality and a nomogram was constructed based on them. The nomogram discriminated well in both derivation and MIMIC-III/-IV validation cohorts with the area under the receiver operating characteristic curves (AUROCs) of 0.846 and 0.859/0.833, respectively and showed a better agreement between expected and observed outcomes (Hosmer-Lemeshow tests, all comparisons, P > 0.05) than other scores in all cohorts. Our nomogram had the lowest Brier scores (0.082/0.114/0.119 in training/MIMIC-III/MIMIC-IV) and highest R2 (0.367/0.393/0.346 in training/MIMIC-III/MIMIC-IV) compared to the recalibrated model for end-stage liver disease (MELD), MELD-hepatic encephalopathy (MELD-HE) and cirrhosis acute gastrointestinal bleeding (CAGIB) scores in all cohorts. CONCLUSIONS: We developed a practical prognostic nomogram using easily verified indicators available in initial patient evaluation, which may serve as a reliable tool to accurately predict inpatient mortality for cirrhotic patients with AVH.

RNA-seq analysis of the response of plant-pathogenic oomycete Phytophthora parasitica to the fungicide dimethomorph / Análisis RNA-seq de la respuesta del oomiceto fitopatógeno Phytophthora parasitica al fungicida dimetomorf

Phytophthora parasitica is an important oomycete that causes disease in a variety of plants, dimethomorph fungicides being specific for oomycetes. The aim of this study was to use RNA-seq to rapidly discover the mechanism by which dimethomorph acts in the treatment of P. parasitica. We found that the expression of 832 genes changed significantly after the dimethomorph treatment, including 365 up-regulated genes and 467 down-regulated genes. According to the Gene Ontology (GO) enrichment analysis, pathway enrichment and verification test results, the following conclusions are obtained: (i) the treatment of P. parasitica with dimethomorph causes changes in the expression levels of genes associated with the cell wall and cell wall synthesis; (ii) dimethomorph treatment results in reduced permeability of the cell membrane and changes in the expression of certain transport-related proteins; (iii) dimethomorph treatment increased reactive oxygen species and reduced the expression of genes related to the control of oxidative stress.

Phytophthora parasitica es un importante oomiceto que origina enfermedades en una variedad de plantas; el fungicida dimetomorf es específico contra oomicetos. El objetivo de este estudio fue utilizar la tecnología de RNA-seq para descubrir rápidamente el mecanismo por el que el dimetomorf actúa en el tratamiento de P. parasitica. Descubrimos que la expresión de 832 genes se modificaba significativamente tras el tratamiento con dimetomorf, incluyendo 365 genes que son sobrerregulados y 467 genes que son subrregulados. El análisis de enriquecimiento de ontología de genes (GO), análisis de enriquecimiento de las vías y pruebas de verificación permitieron extraer las conclusiones siguientes: 1) el tratamiento de P. parasitica con dimetomorf origina cambios en los niveles de expresión de los genes relacionados con la pared celular y su síntesis; 2) el tratamiento con dimetomorf origina una reducción de la permeabilidad de la membrana celular, así como cambios en la expresión de ciertas proteínas relacionadas con el transporte, y 3) el tratamiento con dimetomorf incrementó las especies reactivas del oxígeno y redujo la expresión de los genes relacionados con el control del estrés oxidativo.

RNA-seq analysis of the response of plant-pathogenic oomycete Phytophthora parasitica to the fungicide dimethomorph.

Phytophthora parasitica is an important oomycete that causes disease in a variety of plants, dimethomorph fungicides being specific for oomycetes. The aim of this study was to use RNA-seq to rapidly discover the mechanism by which dimethomorph acts in the treatment of P. parasitica. We found that the expression of 832 genes changed significantly after the dimethomorph treatment, including 365 up-regulated genes and 467 down-regulated genes. According to the Gene Ontology (GO) enrichment analysis, pathway enrichment and verification test results, the following conclusions are obtained: (i) the treatment of P. parasitica with dimethomorph causes changes in the expression levels of genes associated with the cell wall and cell wall synthesis; (ii) dimethomorph treatment results in reduced permeability of the cell membrane and changes in the expression of certain transport-related proteins; (iii) dimethomorph treatment increased reactive oxygen species and reduced the expression of genes related to the control of oxidative stress.