A HPLC fingerprint study on Chaenomelis Fructus

Phytochemistry and pharmacology of plants in the genus Chaenomeles

Chaenomeles plants belong to the Rosaceae family and include five species, Chaenomeles speciosa (Sweet) Nakai, Chaenomeles sinensis (Thouin) Koehne, Chaenomeles japonica (Thunb.) Lindl, Chaenomeles cathayensis (Hemsl.) Schneid and Chaenomeles thibetica Yu. Chaenomeles plants are found and cultivated in nearly every country worldwide. China serves as both the origin and distribution hub for the plants in the Chaenomeles genus, and all Chaenomeles species except for C. japonica are indigenous to China. Chaenomeles spp. is a type of edible medicinal plant that has been traditionally used in China to treat various ailments, such as rheumatism, cholera, dysentery, enteritis, beriberi, and scurvy. A variety of chemical constituents have been extracted from this genus, including terpenoids, phenolics, flavonoids, phenylpropanoids and their derivatives, benzoic acid derivatives, biphenyls, oxylipins, and alkaloids. The biological activity of some of these constituents has already been evaluated. Pharmacological investigations have demonstrated that the plants in the genus Chaenomeles exhibit anti-inflammatory, analgesic, antioxidant, antihyperglycemic, antihyperlipidemic, gastrointestinal protective, antitumor, immunomodulatory, antibacterial, antiviral, hepatoprotective, neuroprotective and other pharmacological activities. The objective of this review is to provide a comprehensive and up-to-date summary of the available information on the genus Chaenomeles to serve as a valuable reference for further investigations.

Quality monitoring of Shenmai injection by HPLC pharmacodynamic fingerprinting

A probable problem of disconnection between chemical fingerprints and drug effects for TCMs would be contrary to the original intention of fingerprint research, and limits the development and application of fingerprints. In this study, Shenmai injection, as a treatment dosage form of coronary heart disease, shock, and viral myocarditis clinically, was applied as the research object. The fingerprint of Shenmai injection was constructed, and the pharmacodynamic test of antioxidant effect was carried out to obtain quantitative characteristics and pharmacodynamic data. On this basis, a monitoring model based on the HPLC pharmacodynamic fingerprint was established to evaluate the quality of Shenmai injections from different batches and different manufacturers. Results showed that the optimized HPLC method had good repeatability, precision, and stability. A total of 28 characteristic peaks were identified to provide more chemical information. Furthermore, 13 ginsenosides and notoginsenoside have been selected as characteristic components of LC/MS fingerprint method. 8 peaks closely related to antioxidant properties by multiple linear regression method, which were identified as Rg1, Re, Rf, Rb1, and some other ginsenosides using MS analysis. The monitoring model based on HPLC pharmacodynamic fingerprint could successfully identify quality differences for Shenmai injections. Based on the case study of Shenmai injection, the novel and practical fingerprint analytical strategy could be further applied to monitor or predict the quality of TCMs.

Application of HPLC Fingerprint Combined with Chemical Pattern Recognition and Multi-Component Determination in Quality Evaluation of Echinacea purpurea (L.) Moench

Echinacea purpurea (EP) is a common medicinal material for extracting anti-RSV components. However, up to now, there has been no effective and simple method to comprehensively reflect the quality of EP. In our current study, the quality of Echinacea purpurea (L.) Moench samples from six different cultivation locations in China was evaluated by establishing a high-performance liquid chromatography (HPLC) fingerprint, combining chemical pattern recognition and multi-component determination. In this study, the chemical fingerprints of 15 common peaks were obtained using the similarity evaluation system of the chromatographic fingerprints of traditional Chinese medicine (2012A Edition). Among the 15 components, three phenolic acids (caftaric acid, chlorogenic acid and cichoric acid) were identified and determined. The similarity of fingerprints of 16 batches of Echinacea purpurea (L.) Moench samples ranged from 0.905 to 0.998. The similarity between fingerprints of five batches of commercially available Echinacea pupurea (L.) Moench and the standard fingerprint "R" ranged from 0.980 to 0.997, which proved the successful establishment of the fingerprint. PCA and HCA were performed with the relative peak areas of 15 common peaks (peak 3 as the reference peak) as variables. Anhui and Shaanxi can be successfully distinguished from the other four cultivation areas. In addition, the index components of caftaric acid, chlorogenic acid and cichoric acid were in the range of 1.77-8.60 mg/g, 0.02-0.20 mg/g and 2.27-15.87 mg/g. The results of multi-component index content determination show that the contents of the Shandong cultivation area were higher, followed by Gansu, Henan and Hebei, and the lowest were Anhui and Shaanxi. The results are consistent with PCA and HCA, which proved that the quality of Echinacea purpurea (L.) Moench from different origins was different. HPLC fingerprint combined with chemical pattern recognition and multi-component content determination was a reliable, comprehensive and prospective method for evaluating the quality of Echinacea purpurea (L.) Moench. This method provides a scientific basis for the quality control and evaluation of Echinacea purpurea (L.) Moench.

Deciphering the Underlying Mechanisms of Formula Le-Cao-Shi Against Liver Injuries by Integrating Network Pharmacology, Metabonomics, and Experimental Validation

Le-Cao-Shi (LCS) has long been used as a folk traditional Chinese medicine formula against liver injuries, whereas its pharmacological mechanisms remain elusive. Our study aims to investigate the underlying mechanism of LCS in treating liver injuries via integrated network pharmacology, metabonomics, and experimental validation. By network pharmacology, 57 compounds were screened as candidate compounds based on ADME parameters from the LCS compound bank (213 compounds collected from the literature of three single herbs). According to online compound–target databases, the aforementioned candidate compounds were predicted to target 87 potential targets related to liver injuries. More than 15 pathways connected with these potential targets were considered vital pathways in collectively modulating liver injuries, which were found to be relevant to cancer, xenobiotic metabolism by cytochrome P450 enzymes, bile secretion, inflammation, and antioxidation. Metabonomics analysis by using the supernatant of the rat liver homogenate with UPLC-Q-TOF/MS demonstrated that 18 potential biomarkers could be regulated by LCS, which was closely related to linoleic acid metabolism, glutathione metabolism, cysteine and methionine metabolism, and glycerophospholipid metabolism pathways. Linoleic acid metabolism and glutathione metabolism pathways were two key common pathways in both network pharmacology and metabonomics analysis. In ELISA experiments with the CCl₄-induced rat liver injury model, LCS was found to significantly reduce the levels of inflammatory parameters, decrease liver malondialdehyde (MDA) levels, and enhance the activities of hepatic antioxidant enzymes, which validated that LCS could inhibit liver injuries through anti-inflammatory property and by suppressing lipid peroxidation and improving the antioxidant defense system. Our work could provide new insights into the underlying pharmacological mechanisms of LCS against liver injuries, which is beneficial for its further investigation and modernization.

Chaenomeles Fructus (CF), the Fruit of Chaenomeles sinensis Alleviates IL-1β Induced Cartilage Degradation in Rat Articular Chondrocytes

Osteoarthritis (OA) causes persistent pain, joint dysfunction, and physical disability. It is the most prevalent type of degenerative arthritis, affecting millions of people worldwide. OA is currently treated with a focus on pain relief, inflammation control, and artificial joint surgery. Hence, a therapeutic agent capable of preventing or delaying the progression of OA is needed. OA is strongly associated with the degeneration of the articular cartilage and changes in the ECM, which are primarily associated with a decrease in proteoglycan and collagen. In the progress of articular cartilage degradation, catabolic enzymes, such as matrix metalloproteinases (MMPs), are activated by IL-1β stimulation. Given the tight relationship between IL-1β and ECM (extra-cellular matrix) degradation, this study examined the effects of Chaenomeles Fructus (CF) on IL-1β-induced OA in rat chondrocytes. The CF treatment reduced IL-1β-induced MMP3/13 and ADAMTS-5 production at the mRNA and protein levels. Similarly, CF enhanced col2a and aggrecan accumulation and chondrocyte proliferation. CF inhibited NF-κB (nuclear factor kappa B) activation, nuclear translocation induced by IL-1β, reactive oxygen species (ROS) production, and ERK phosphorylation. CF demonstrated anti-OA and articular regeneration effects on rat chondrocytes, thus, suggesting that CF is a viable and fundamental therapeutic option for OA.

Study on Gas Chromatographic Fingerprint of Essential Oil from Stellera chamaejasme Flowers and Its Repellent Activities against Three Stored Product Insects

The objective of this study was to establish the chromatographic fingerprints of the essential oil (EO) from Stellera chamaejasme flowers collected from various natural sites by gas chromatography (GC) combined with chemometric methods. The EO was obtained by hydrodistillation, and its chemical composition was analyzed by gas chromatography-mass spectrometry (GC-MS). Most components were identified as ketones and the relatively high-content components were fitone (38.973%), n-hentriacontane (5.807%), myristic acid (4.944%) and phytol (3.988%). In addition, the repellent activities of the EO from S. chamaejasme flowers and its four main chemical compounds were evaluated against three stored product pests (Tribolium castaneum, Lasioderma serricorne, Liposcelis bostrychophila) for the first time. In this work, the EO and the four chemical compounds showed a repellent effect against three storage pests after 2 and 4 h exposure. The experimental method and repellent activity of S. chamaejasme flower EO could provide a basis for the development of botanical pesticide and the utilization of the rich plant resources of S. chamaejasme in the future.

Chemical Authentication of Botanical Ingredients: A Review of Commercial Herbal Products

Chemical methods are the most important and widely used traditional plant identification techniques recommended by national and international pharmacopoeias. We have reviewed the successful use of different chemical methods for the botanical authentication of 2,386 commercial herbal products, sold in 37 countries spread over six continents. The majority of the analyzed products were reported to be authentic (73%) but more than a quarter proved to be adulterated (27%). At a national level, the number of products and the adulteration proportions varied very widely. Yet, the adulteration reported for the four countries, from which more than 100 commercial products were purchased and their botanical ingredients chemically authenticated, was 37% (United Kingdom), 31% (Italy), 27% (United States), and 21% (China). Simple or hyphenated chemical analytical techniques have identified the total absence of labeled botanical ingredients, substitution with closely related or unrelated species, the use of biological filler material, and the hidden presence of regulated, forbidden or allergenic species. Additionally, affecting the safety and efficacy of the commercial herbal products, other low quality aspects were reported: considerable variability of the labeled metabolic profile and/or phytochemical content, significant product-to-product variation of botanical ingredients or even between batches by the same manufacturer, and misleading quality and quantity label claims. Choosing an appropriate chemical technique can be the only possibility for assessing the botanical authenticity of samples which have lost their diagnostic microscopic characteristics or were processed so that DNA cannot be adequately recovered.

Antitumor chemical constituents of Toddalia asiatica (Linn) Lam root bark and its rational alternative medicinal parts by multivariate statistical analysis

Toddalia asiatica (Linn) Lam (T. asiatica) as a traditional Miao medicine was investigated to find rational alternative medicinal parts for T. asiatica root bark and its antitumor chemical constituents by quantitative pharmacognostic microscopy, high performance liquid chromatography (HPLC) fingerprint and multivariate statistical analysis. A bivariate correlation analysis method based on microscopic characteristics and content of chemical constituents was established for the first time, there were some regular discoveries between powder microscopic characteristics and common chromatographic peaks of T. asiatica through quantitative pharmacognostic microscopy, cork cells, calcium oxalate square crystal, brown clump, starch granule and phloem fiber, as powder microscopic characteristics may be placed where the main chemical constitutes were enriched. Scores plot of principal component analysis (PCA) and dendrogram of hierarchical clustering analysis (HCA) showed that 18 T. asiatica samples were distinguished correctly, clustered clearly into two main groups as follows: S01∼S03 (root bark) and S07∼S09 (stem bark) in cluster 1, S04∼S06 and S10∼S18 in cluster 2. Nineteen common peaks were obtained in HPLC fingerprint of T. asiatica, loadings plot of PCA indicated seven compounds played important roles in different part of samples (P10 > P08 > P07 > P14 > P16 > P17 > P19), peaks 04, 06, 07, 08, 10 were identified as hesperidin, 4-methoxycinnamic acid, toddalolactone, isopimpinlline and pimpinellin. MTT assay was used to determine the inhibitory activity of different medicinal parts of T. asiatica on human breast cancer MCF-7 cells, all parts of T. asiatica had different inhibitory effects on MCF-7 cell lines, root and stem barks of T. asiatica showed the best inhibitory activity. The relationship between chemical constituents and the inhibitions on MCF-7 cell had been established, significant antitumor constituents of T. asiatica were identified by correlation analysis, the order of the antitumor effect of the main compounds was P07 (toddalolactone) > P16 > P06 (4-methoxycinnamic acid), P11 > P18 > P10 (pimpinellin) > P08 (isopimpinellin) > P01 > P19 > P14 > P04 (hesperidin) > P17, which were antitumor chemical constituents of T. asiatica root bark. T. asiatica stem bark was the most rational alternative medicinal part for T. asiatica root bark.

A multi-strategy platform for quality control and Q-markers screen of Chaiqin chengqi decoction

BACKGROUND

Acute pancreatitis (AP) is an inflammatory disorder of the pancreas that is associated with substantial morbidity and mortality. Chaiqin chengqi decoction (CQCQD) has been proven clinically to be an effective treatment for AP for decades in West China Hospital. Quality control for CQCQD containing many hundreds of characteristic phytochemicals poses a challenge for developing robust quality assessment metrics.

PURPOSE

To evaluate quality consistency of CQCQD with a multi-strategy based analytical method, identify potential quality-markers (Q-markers) based on drug properties and effect characteristics, and endeavor to establish CQCQD as a globally-accepted medicine.

METHODS

A typical analysis of constitutive medicinal plant materials was performed following the Chinese Pharmacopoeia. The extraction process was optimized through an orthogonal array (L₉(3⁴)) to evaluate three levels of liquid to solid ratio, soaking time, duration of extraction, and the number of extractions. An ultra-high-performance liquid chromatography (UHPLC) fingerprinting combined with absolute quantitation of multi chemical marker compounds, coupled with similarity, hierarchical clustering analysis (HCA), and principal component analyses (PCA) were performed to evaluate 10 batches of CQCQD. On the basis of systematic analysis of fundamental features of CQCQD in treating AP, the potential Q-marker screen was proposed through detection of quality transfer and efficacy for chemical markers. UHPLC coupled with quadrupole orbitrap mass spectrometry were used to determine compounds in medicinal materials, decoctions and plasma. Network pharmacology and taurolithocholic acid 3-sulfate induced pancreatic acinar cell death were used to evaluate the correlation between chemical markers and anti-pancreatitis activity. A cerulein induced AP murine model was used to validate quality assessed CQCQD batches at clinically-equivalent dose. The effective content of chemical markers was predicted using linear regression analysis on quantitative information between validated batches and the other batches.

RESULTS

The chemical markers and other physical and chemical indices in the original materials met Chinese Pharmacopoeia standards. A total of 22 co-existing fingerprint peaks were selected and the similarity varied between 0.946 and 0.990. Batch D10 possessed the highest similarity index. HCA classified the 10 batches into 2 main groups: 7 batches represented by D10 and 3 batches represented by D1. During the initial Q-marker screen stage, 22 compounds were detected in both plant materials and decoctions, while 13 compounds were identified in plasma. Network pharmacology predicted the potential targets and pathway of AP related to the 22 compounds. All 10 batches showed reduced necrosis below 60% with the best effect achieved by D10 (~40%). The spectrum-efficacy relationship analyzed by Pearson correlation analysis indicated that emodin, rhein, aloe emodin, geniposide, hesperridin, chrysin, syringin, synephrine, geniposidic acid, magnolol, physcion, sinensetin, and baicalein showed positive correlation with pancreatic acinar cell death protection. Similar to the in vitro evaluation, batch D10 significantly reduced total histopathological scores and biochemical severity indices at a clinically-equivalent dose but batch D1 did not. The content of naringin, narirutin and baicalin in batches D1, D5 and D9 consistently exceeds the upper limit of the predicted value. Eight markers whose lower limit is predicted to be close to 0 contributed less to the material basis for AP protection.

CONCLUSION

Despite qualified materials used for CQCQD preparation, the clinical effect depends on appropriate content range of Q-markers. Emodin, rhein, aloe emodin, magnolol, hesperidin, synephrine, baicalein, and geniposide are considered as vital Q-markers in the primary screen. This study proposed a feasible platform for producing highly consistent batches of CQCQD in future study.

Anti-Inflammatory Constituents From Chaenomeles speciosa

Phytochemical investigation of fruits of Chaenomeles speciosa Lindley (Rosaceae) led to the isolation of 20 compounds including 5 flavonoids (1-5), 5 phenylpropanoids (6-10), 3 benzoic acid derivatives (11-13), 2 phloroglucinols (14 and 15), 2 purines (16 and 17), and 3 terpenoids (18–20). Their structures were elucidated by nuclear magnetic resonance analyses and from mass spectrometry data. These compounds were confirmed as catechin (1), epicatechin (2), catechin-5- O-β-d-glucoside (3), procyanidin B1 (4), quercetin-3- O-β-d-glucoside (5), p-coumaric acid (6), ferulic acid (7), caffeic alcohol (8), 1- O-p-coumaroyl-β-d-glucose (9), 1- O-cinnamoyl-β-d-glucose (10), p-hydroxybenzonic acid (11), protocatechuic acid (12), benzoic acid-β-d-gentiobioside (13), phloracetophenone 4′-glucoside (14), 3,5-dihydroxyphenyl β-d-glucopyranoside (15), adenine (16), adenosine (17), betulalbuside A (18), vomifoliol (19), and roseoside (20). Compounds 3-5, 8, 10, and 13-18 were isolated from the genus Chaenomeles and C. speciosa for the first time. Out of all these, compound 17 showed the best anti-inflammatory properties, comparable with those of the already known minocycline.

Construction and Chemical Profile on "Activity Fingerprint" of Citri Reticulatae Pericarpium from Different Cultivars Based on HPLC-UV, LC/MS-IT-TOF, and Principal Component Analysis

Citri Reticulatae Pericarpium (CRP), known as Chenpi (CP) in Chinese, is a medicinal food for health and fitness. In order to find out the characteristic activity chemicals distinguishing various cultivars of CRP and provide a reference for effective development of citrus resources, an “activity fingerprint” of CRP from 21 different cultivars was established based on the evaluation of antitussive and expectorant activities. There were 18 common peaks in the HPLC fingerprint, of which 3 flavonoid glycosides and 14 polymethoxyflavonoids (PMFs) were identified by LC/MS-IT-TOF. Furthermore, five characteristic chemicals were determined and similarity calculation with principal component analysis (PCA) was combined together to compare the similarity and difference among various cultivars. The results showed that some other cultivars were also similar to C. reticulata “Chachi” except for C. reticulata “Tangerina” and C. reticulata “Dahongpao” recorded in Chinese Pharmacopoeia. Most importantly, the peels of C. reticulata “Shiyueju,” C. reticulata “Ponkan,” C. reticulata “Tribute,” and C. reticulata “Bayueju,” traditionally rarely used for medicinal food, were highly similar to that of C. reticulata “Chachi” and rich in bioactive flavonoids, which can be considered the effective medicinal resources of CRP.

Chaenomelis fructus inhibits osteoclast differentiation by suppressing NFATc1 expression and prevents ovariectomy-induced osteoporosis

Background

Osteoporosis is related to the number and activity of osteoclasts. The goal of the present study was to demonstrate the effect of Chaenomelis Fructus (CF) on osteoclastogenesis and its mechanism of bone loss prevention in an OVX-induced osteoporosis model.

Methods

Osteoclasts were induced by RANKL in RAW 264.7 cells. TRAP assay was performed to measure the inhibitory effect of CF on osteoclast differentiation. Then, Expression of nuclear factor of activated T-cells (NFATc1), c-Fos which are essential transcription factors in osteoclastogenesis were detected using western blot and RT-PCR. The osteoclast-related markers were measured by RT-PCR. Moreover, the ability of CF to inhibit bone loss was researched by ovariectomized (OVX)-induced osteoporosis.

Results

Cell experiments showed that CF inhibited osteoclast differentiation and its function. Immunoblot analyses demonstrated that CF suppressed osteoclastogenesis through the NFATc1 and c-Fos signaling pathways. RT-PCR determined that CF inhibited osteoclast-related markers, such as tartrate-resistant acid phosphatase (TRAP), cathepsin K (CTK), osteoclast-associated immunoglobulin-like receptor (OSCAR), ATPase H+ Transporting V0 Subunit D2 (ATP6v0d2) and carbonic anhydrase II (CA2). In animal experiments, CF showed an inhibitory effect on bone density reduction through OVX. Hematoxylin and eosin (H&E) staining analysis data showed that CF inhibited OVX-induced trabecular area loss. TRAP staining and immunohistochemical staining analysis data showed that CF displayed an inhibitory effect on osteoclast differentiation through NFATc1 inhibition in femoral tissue.

Conclusion

Based on the results of in vivo and in vitro experiments, CF inhibited the RANKL-induced osteoclasts differentiation and its function and effectively ameliorated OVX-induced osteoporosis rats.

Protein-Based Fingerprint Analysis for the Identification of Ranae Oviductus Using RP-HPLC

This work demonstrated a method combining reversed-phase high-performance liquid chromatography (RP-HPLC) with chemometrics analysis to identify the authenticity of Ranae Oviductus. The fingerprint chromatograms of the Ranae Oviductus protein were established through an Agilent Zorbax 300SB-C8 column and diode array detection at 215 nm, using 0.085% TFA (v/v) in acetonitrile (A) and 0.1% TFA in ultrapure water (B) as mobile phase. The similarity was in the range of 0.779-0.980. The fingerprint chromatogram of Ranae Oviductus showed a significant difference with counterfeit products. Hierarchical clustering analysis (HCA) and principal component analysis (PCA) successfully identified Ranae Oviductus from the samples. These results indicated that the method established in this work was reliable.