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1.
Int J Biol Macromol ; 262(Pt 1): 129494, 2024 Mar.
Article in English | MEDLINE | ID: mdl-38242396

ABSTRACT

In this study, a response surface methodology (RSM) was used to determine the best combination for acid degradation parameters to reduce the viscosity of Plantago ovata Forssk seed polysaccharide (POFP). Then, the two major homogeneous polysaccharides (AH-POFP1 and AH-POFP3) were obtained by DEAE-650 M and Sephadex G-100 column chromatography. The apparent structure of the main fraction AH-POFP1 was characterized by SEM, TG and XRD, and the linkage of AH-POFP1 was determined by a combination of partial acidolysis, Smith's degradation, methylation analysis and 2D NMR analysis. Structural analysis showed that AH-POFP1 was mainly composed of xylose, with a molecular weight of 618.1 kDa, and had a backbone of 1 â†’ 4-linked Xylp, as well as branches of T-linked Xylp, 1 â†’ 4-linked Xylp attached to the O-2 position. The antioxidant activity assays showed that the both AH-POFP1 and AH-POFP3 possess strong scavenging radical ability. Moreover, AH-POFP1 inhibits the secretion of pro-inflammatory factors, and promotes the secretion of anti-inflammatory factors, thereby exerting anti-inflammatory effects. These findings may help to guide future applications of Plantago ovata Forssk in the fields of food, health care, and pharmacy.


Subject(s)
Plantago , Plantago/chemistry , Polysaccharides/chemistry , Antioxidants/pharmacology , Antioxidants/analysis , Seeds/chemistry , Anti-Inflammatory Agents/pharmacology
2.
Chinese Critical Care Medicine ; (12): 925-928, 2018.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-703742

ABSTRACT

Objective To explore the predictive value of plasma cell-free DNA (cf-DNA) for prognosis in patients with sepsis. Methods 105 patients with sepsis admitted to department of emergency of the First Hospital of Quanzhou Affiliated to Fujian Medical University from June 2015 to June 2017 were enrolled. Patients were divided into sepsis group (n = 50) and severe sepsis group (n = 55). At the same time, 50 cases of physical examination center in our hospital were randomly selected as the healthy control group. The differences of cf-DNA, procalcitonin (PCT) and acute physiology and chronic health evaluation Ⅱ(APACHEⅡ) score among the three groups were compared. The correlation between cf-DNA and PCT or APACHEⅡ were analyzed by Bivarite method. Logistic regression was used to analyze the independent predictors of sepsis. The receiver operating characteristic curve (ROC) was made to evaluate cf-DNA, PCT, APACHEⅡ alone or combined ability to predict the prognosis of sepsis. Results The PCT, APACHE Ⅱ and cf-DNA in the sepsis group and severe sepsis group were significantly higher than those in the healthy control group [PCT (μg/L):5.80 (3.28, 8.85), 17.53 (8.40, 29.61) vs. 0.02 (0.01, 0.03); APACHEⅡ: 13.04±3.03, 23.29±8.02 vs. 2.10±1.05;cf-DNA (μg/L): 1 438.0 (1 154.0, 1 576.0), 2 595.0 (2 162.0, 5 198.0) vs. 17.0 (13.0, 20.5); all P﹤0.05], and the indicators in the severe sepsis group were further higher than the sepsis group (all P < 0.05). Correlation analysis showed that cf-DNA was significantly positive correlated with PCT [r = 0.675, 95% confidence interval (95%CI) = 0.575-0.766, P < 0.001] and APACHEⅡ (r = 0.911, 95%CI = 0.874-0.939, P < 0.001). ROC curve analysis showed that the areas under ROC curve (AUC) of PCT, APACHEⅡ, cf-DNA, PCT+APACHEⅡ, cf-DNA+PCT, cf-DNA+APACHEⅡ, cf-DNA+PCT+APACHEⅡ to predict the prognosis of sepsis patients were 0.898, 0.905, 0.961, 0.941, 0.974, 0.976 and 0.982, respectively. It was shown that when predicted alone with PCT, APACHEⅡ and cf-DNA, the AUC of cf-DNA was the largest (0.961), the sensitivity was 100%, and the specificity was 81.43%; the combined prediction of cf-DNA with PCT or APACHEⅡ could further increase AUC, and the combined prediction of cf-DNA, PCT and APACHEⅡhad the highest AUC (0.982), the sensitivity was 94.29%, the specificity was 98.57%. Conclusions cf-DNA, PCT and APACHEⅡ have certain predictive value for the prognosis of sepsis. The value of cf-DNA was the highest when predicted alone, but the predictive ability of cf-DNA combined with PCT and APACHEⅡ was the best.

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