1.Correlation analysis of clinical indicators and liver failure-related prognostic score associated with prognosis in patients with amanita phalloides poisoning
Xiaoli LIANG ; Shanshou LIU ; Bingyue WANG ; Xiaojun ZHAO ; Chujun DUAN ; Xiaomin HU ; Jian'gang XIE
Chinese Critical Care Medicine 2022;34(11):1178-1182
Objective:To analyze and compare the clinical indicators and the liver failure-related prognostic score of patients with amanita phalloides poisoning with different prognoses, and to explore potential prognostic indicators.Methods:A retrospective case-control study was conducted. The clinical data of 52 patients with amanita phalloides poisoning admitted to the department of emergency of Xijing Hospital Affiliated to Air Force Medical University from September 2016 to September 2021 were collected, including general information (gender, age), clinical indicators at admission [mean arterial pressure (MAP), total bilirubin (TBil), aspartate transaminase (AST), alanine transaminase (ALT), albumin (ALB), serum creatinine (SCr), blood urea nitrogen (BUN), creatine kinase (CK), D-dimer, fibrinogen degradation product (FDP), prothrombin time (PT), activated partial thromboplastin time (APTT), prothrombin activity (PTA), international normalized ratio (INR), white blood cell count (WBC), platelet count (PLT)], liver failure-related prognostic score [sequential organ failure assessment (SOFA), chronic liver failure (CLIF)-SOFA score, European Foundation for the Study of Chronic Liver Failure-organ failure (CLIF-C OF)], and 28-day outcome. The clinical indicators and liver failure-related prognostic scores of the patients with different prognoses were compared. Receiver operator characteristic curve (ROC curve) was used to determine the prognostic value of statistically significant indicators between different prognosis of patients with amanita poisoning.Results:A total of 45 patients were enrolled, of which 38 survived and 7 died within 28 days. The coagulation indicators including PT, APTT, INR, and liver failure-related prognostic scores including SOFA score, CLIF-SOFA score, and CLIF-C OF score in the patients of death group were significantly higher than those in the survival group [PT (s): 69.59±15.94 vs. 25.99±4.64, APTT (s): 83.44±17.82 vs. 42.64±3.79, INR: 6.13±1.47 vs. 2.07±0.33, SOFA score: 11.57±1.38 vs. 6.03±0.77, CLIF-SOFA score: 9.86±2.17 vs. 5.55±0.67, CLIF-C OF score: 11.71±0.97 vs. 8.37±0.35], and PLT was significantly lowered (×10 9/L: 80.57±29.65 vs. 169.60±11.80, all P < 0.05). ROC curves showed that coagulation indicators including PT, APTT, INR, PLT, and liver failure-related prognostic scores including SOFA score and CLIF-C OF score were associated with the prognosis of patients with amanita phalloides poisoning, with the area under the ROC curve (AUC) of > 0.75. The sensitivity of the clinical indicators was above 85%, and the AUC and specificity of INR were the highest, which were 0.88 [95% confidence interval (95% CI) was 0.74-1.00] and 83.0%, respectively; meanwhile, the sensitivity of the liver failure-related prognostic scores was 100%, and the AUC and specificity of the CLIF-C OF score were the highest, which were 0.86 (95% CI was 0.74-0.99) and 66.0%, respectively. Conclusion:INR and CLIF-C OF score can be used to evaluate the poor prognosis of patients with amanita phalloides poisoning.
2.Discussion on the chemical compositions and treatment mechanism of sepsis of Sonchus arvensis L. by network pharmacology
Bingyue HU ; Xinkang ZHANG ; Jinfeng CEN ; Chongning LV ; Jincai LU ; Kai XIAO
Journal of Pharmaceutical Practice 2023;41(4):245-251
Objective To explore the effective constituents from Sonchus arvensis L. and the potential mechanism in treating sepsis by network pharmacology. Methods The chemical ingredients reported in the literature were taken as research objects and Swiss Target Prediction database was used to collect the identify the potential targets of those ingredients. The GeneCards, OMIM and TTD databases were applied to screen the sepsis related molecular targets. The cross targets were obtained and used to construct the active ingredient-disease target network. In addition, the targets were also imported into STRING database to construct a PPI network. Finally, GO and KEGG enrichment analysis were performed on the target genes to predict the mechanism via DAVID database. Results 71 components from S. arvensis L. were obtained, which corresponded to 579 potential drug targets. There were 3437 related targets of sepsis. S. arvensis L. and sepsis shared 272 common targets. The results showed that 1366 terms were found by GO function enrichment, including 245 molecular functions (MF), 1002 biological processes (BP), and 119 cell composition (CC), The KEGG enrichment analysis suggested that 166 signaling pathways were involved. Conclusion The study revealed that TNF, AKT1, IL-6, IL-1β, TP53 and some other targets might be affected by potentially active ingredients of S arvensis L. such as linoleic acid, linolenic acid and oleic acid to regulate the expression of steroids, sphingolipids hormones as well as epidermal factors and chemokines in treating sepsis.