ABSTRACT
Prunella vulgaris(PV) is an edible and traditional medicinal herb which has a wide range application in fighting inflammation and oxidative stress, and protecting liver. Now it has been used to treat various types of liver diseases and has significant clinical efficacy. This study aims to investigate the effects of PV on ethanol-induced oxidative stress injury in rats and its metabolic mechanism. The rats were divided into control group, model group, PV group, and VC group. The liver protection of PV was identified by measuring pharmacological indexes such as antioxidant and anti-inflammatory activity. The metabolic mechanism of long-term ethanol exposure and the metabolic regulation mechanism of PV treatment were studied by LS-MS metabonomics. The pharmacological investigation indicated that ethanol could significantly decrease the contents of SOD, GSH-Px, CAT and other antioxidant enzymes in liver and increase the content of MDA. At the same time, PV could significantly reduce the contents of inflammatory factors(TNF-α, IL-6 and IL-1β) and liver function markers(ALT, AST, ALP) in serum. What's more, long-term ethanol exposure could significantly cause liver injury, while PV could protect liver. Metabolomics based on multiple statistical analyses showed that long-term ethanol exposure could cause significant metabolic disorder, and fatty acids, phospholipids, carnitines and sterols were the main biomarkers. Meanwhile, pathway analysis and enrichment analysis showed that the β oxidation of branched fatty acids was the main influencing pathway. Also, PV could improve metabolic disorder of liver injury induced by ethanol, and amino acids, fatty acids, and phospholi-pids were the main biomarkers in PV treatment. Metabolic pathway analysis showed that PV mainly regulated metabolic disorder of ethanol-induced liver injury through phenylalanine, tyrosine and tryptophan biosynthetic pathways. This study could provide a new perspective on the hepatoprotective effect of natural medicines, such as PV.
Subject(s)
Animals , Rats , Antioxidants/metabolism , Ethanol/toxicity , Liver/metabolism , Metabolomics , Oxidative Stress , PrunellaABSTRACT
High performance liquid chromatography-ultraviolet(HPLC-UV) fingerprint is one of the most important methods for the quality control of Chinese medicines in Chinese Pharmacopoeia. However, certain subjectivity is present in selection of specific band of UV, and the inherent quality differences of Chinese medicine can't be well characterized by this method. Therefore, with different grades of Scrophulariae Radix were taken as the research object in this study, a new quality control model of HPLC-UV was established in this study based on the ultraviolet full-wavelength scanning spectrum. Firstly, different grades of Scrophulariae Radix samples were collected, and the full-wavelength ultraviolet absorption spectra of all the samples were established at the bands of 200-400 nm. In order to analyze the differences among samples, the analysis model was built following multivariate statistical analysis methods such as principal component analysis(PCA) and partial least squares discrimination analysis(PLS-DA) after the pretreatment of spectral data. The result showed that the ultraviolet band at 251 nm may contribute most to distinguish the quality differences among different grades of samples. Then, the HPLC fingerprints of samples were established with the band at 251 nm. The multivariate statistical analysis showed that there was a more significant classification trend in HPLC fingerprints than that in the original UV fingerprints, which could be used to distinguish different grades of samples, and could better reflect the differences among different grades. The method reported in this study can be of a great guidance and reference for the establishment of specific fingerprints of Chinese medicines as well as for the quality control of Chinese medicine.
Subject(s)
Drugs, Chinese Herbal , Chromatography, High Pressure Liquid , Plant Roots , Principal Component Analysis , Quality ControlABSTRACT
Prunellae Spica is a perennial edible and medicinal plant, rich in antioxidant substances. Total flavonoids (TFC), Phenolics (TPC), triterpenoids (TSC), polysaccharides (PC) and their antioxidant capacities (by the FRAP, DPPH and ABTS⁺ methods) of ethyl acetate fraction, n-butanol fraction and other fractions of aqueous extract from Prunellae Spica were investigated in this study. Then the multivariate statistical method was adopted to analyze the relationship between the multiple pharmaceutical ingredients and antioxidant capacities of Prunellae Spica. The results showed that ethyl acetate fraction had relatively high concentration of TFC (0.61±0.10) g·g⁻¹DW, TPC (0.52±0.09) g·g⁻¹DW, and TSC (0.21±0.03) g·g⁻¹DW, with high scavenging capacity of DPPH (3.1±0.38) mmol·L⁻¹·g⁻¹DW and FRAP (2.56±0.35) mmol·L⁻¹·g⁻¹DW. Hierarchical clustering analysis (HCA) and principal component analysis (PCA) results indicated the information from chemical compositions and antioxidant capacity can represent the "differences" of different fractions. Canonical correlation analysis (CCorA) revealed a high positive correlation between the amounts of multiple chemical compositions and the antioxidant capacities (r=0.970 0), and the first canonical variate had been reached. Moreover, ABTS⁺ method showed a low response to the compositions of different fractions, so this method may not be suitable for evaluation of Prunellae Spica antioxidant capacities, while DPPH evaluation method was more suitable for TSC and TPC. The results of this study have important reference significance for the evaluation method on antioxidant activity of Prunellae Spica in the field of food or medicine as well as for the development of related extracts.
Subject(s)
Antioxidants , Flavonoids , Phenols , Plant ExtractsABSTRACT
To establish a random forest algorithm for identifying and classifying different brands of Xiasangju granules, and provide effective reference for identifying multi-index complex fingerprint. HPLC method was used to collect the fingerprint of 83 batches of Xiasangju granules from different manufacturers. The classification of Xiasangju granules samples based on chromatographic fingerprints was identified by chemometric methods including principal component analysis (PCA), partial least squares discriminate analysis (PLS-DA) and random forest analysis (RF). The superiority of the above three chemometric methods was compared. The results showed that the fingerprints of 83 batches of Xiasangju granules were established in this study. PCA could only explicate 56.52% variance contribution rate and could not completely classify the samples; PLS-DA analysis was superior to PCA, explicating 63.43% variance contribution rate and could obtain certain separation; RF could well classify the samples into 3 types, and the predication accuracy of the proposed method was 96.5%. Therefore, The results indicate that RF combined with HPLC fingerprint could effectively construct traditional Chinese medicine quality control and analysis system.
ABSTRACT
This paper aims to investigate the correlation between the antioxidant activity of Prunella vulgaris and its total phenolic acids content by measuring the antioxidant activity of different sources and different organs of P. vulgaris and the total contents of protocatechuic acid, protocatechuic aldehyde, caffeic acid, salviaflaside and rosmarinic acid in these samples. Using the 50% methanol extract of P. vulgaris samples as the research object, DPPH method and HPLC method were used respectively to determine the antioxidant activities and the total contents of the above-mentioned five analytes in P. vulgaris samples. 0.5 mL of 50% methanol extract of P. vulgaris reacts with 0.1 mmol•L⁻¹ DPPH ethanol solution for 60 min, then the absorbance of the reaction solution was measured at 517 nm, scavenging rate and IC₅₀ values were calculated by the absorbance and the sample concentration for evaluating the antioxidant activity. HPLC analysis was made on a C₁₈ Epic column, with acetonitrile-0.1% formic acid aqueous solution as mobile phase (gradient elution), and the detection wavelength was set at 280 nm. The correlation between the antioxidant capacity of different habitats and different organs of P. vulgaris and the total contents of five kinds of phenolic acids was analyzed by partial least squares method. The reaction dose-response range of 50% methanol extract of P. vulgaris with 0.1 mmol•L⁻¹ DPPH ethanol solution was 0.300-1.65 g•L⁻¹. When the quantities of potocatechuic acid, protocatechuic aldehyde, caffeic acid, salviaflaside and rosmarinic acid were respectively in 0.007 84-0.980, 0.011 5-1.44, 0.008 64-1.08, 0.080 0-1.00 and 0.079 8-0.998 μg range, their quantities were in good linear relationship with the corresponding peak areas. The average recovery of 5 components were 97.76%, 96.88%, 100.3%, 102.1%, 104.5%, with RSD of 1.8%, 1.6%, 1.7%, 1.6% and 1.7%, respectively. In a certain range of crude drug quantity, the antioxidant activity of each organ of P. vulgaris and total phenolic acids content inside has a good linear correlation. Therefore, in certain quality range of crude drug, DPPH bioassay combined with HPLC content determination can be used for the quality control of P. vulgaris, as is a new method for the quality control of P. vulgaris.
ABSTRACT
This paper was aim to screen microorganisms with attenualed efficiency for Chinese medicine containing aristolochic acid A by liquid-state fermentation. Twelve Chinese medicine were detected by UPLC and aristolochic acid A was only founded in four species of Aristolochia, those were Caulis Aristolochiae Manshuriensis, Aristolochiae Radix, Aistolochia Contorta Bunge and Herba Aristolochiae Mollissima,but not in the others. With the four Chinese medicine containing aristolochic acid A as raw material, ten microorganisms were tested, and the content of aristolochic acid A was detected by UPLC. The results showed that one microorganism can decrease content of aristolochic acid A in all those four Chinese medicine.