Citri Reticulatae Pericarpium Research Articles

Effects of Different Storage Times on the Stability of 12 Traditional Chinese Medicine Decoction Pieces.

As storage time increases, the quality of traditional Chinese medicines (TCMs) may change, and stability is an essential aspect of ensuring the safety and efficacy of TCMs. In this study, the effects of different storage times on the stability of 12 decoction pieces were evaluated. High-performance liquid chromatography was used to determine the contents of the active components in the 12 decoction pieces. The chemical composition data were analyzed using fingerprinting and clustering heatmap (CH). Results showed that during storage, significant variations (relative standard deviation > 10%) were observed in the levels of paeoniflorin in Paeoniae Radix Alba and Paeoniae Radix Rubra, hesperidin in Citri Reticulatae Pericarpium and Citri Reticulatae Pericarpium Viride, bufothionine in Siccus Bufo and chlorogenic acid in White Chrysanthemi Flos and Lonice Raejaponicae Caulis. However, calycosin-7-glucoside and calycosin in Astragali Radix Praeparata Cum Melle and chlorogenic acid in Lonicerae Japonicae Flos, Yellow Chrysanthemi Flos and Mori Folium were all <10%, which is consistent with the CH. Decoction pieces can be stored for up to sixmonths, but it is recommended that volatile oil-containing and animal-based decoction pieces should not be stored for more than one month. This study provides new perspectives for the stability and quality control studies of TCM.

Risk assessment of exposure to 12 kinds of mycotoxins through consumption of Pericarpium Citri Reticulatae collected from Three Gorges Reservoir area of China

A method for simultaneous determination of 12 mycotoxins in Pericarpium Citri Reticulataeby HPLC-MS/MS was established to analyze the residues of mycotoxins, inwhich from Three Gorges Reservoir area of China, including AFB1, AFB2, AFG1, AFG2, T-2, FB1, FB2, FB3, ZEN, OTA, OTB and DON.In addition, a probabilistic assessment model based on Monte Carlo simulation method was established in combination with pollution data, and the health risk assessment was carried out by the exposure limit method (MOE).The results showed that the method with strong specificity, good linearity and accurate recovery was established and could be used for the determination of 12 mycotoxins in Pericarpium Citri Reticulatae.In general, the total pollution rate of different degrees of pollution in the 36 batches of Pericarpium Citri Reticulatae sampleswas 75 %. It should be noted thatthe proportion of positive samplescontaminated by one toxin was the highest (59.26 %), and the detection rate of FB3 in Pericarpium Citri Reticulataewas the highest (66.67%), followed by AFG1 (44.44 %), indicating that the medicinal material polluted by AFG1 and AFB3 alone or simultaneously was more serious. Specifically, the detection rate of mycotoxins in Chongqing was the highest (92.31%) on account of the high temperature and humidity in Chongqing, followed by Southeast of Sichuan (83.33%) and West of Hubei (45.45%).On the other hand, the MOE of AFB1 and AFB2 calculated were both greater than 10000, indicating that the health risk of AFB1 and AFB2 exposure caused by taking Pericarpium Citri Reticulatae was low, but the risk of high intake population was higher than that of conventional intake population, which needed to be paid attention to. This study can provide a reference for the safety assessment of clinical medication of Pericarpium Citri Reticulatae inThree Gorges Reservoir area.

Effects of aging on the bioactive flavonoids and fungal diversity of Pericarpium Citri Reticulatae (Citrus reticulata ‘Chachi’)

Samples of Pericarpium Citri Reticulatae (Citrus reticulata 'Chachi', CP-‘Chachi’), which collected in December of 2017, 2013, 2003 and 1993 with the natural aging process for 5, 10, 20 and 30 years, were used to compared the changes in total polyphenols, total flavonoids and fungal community composition. The relationship among these factors was analyzed. The content of flavonoids in CP-‘Chachi’ was qualitatively and quantitatively determined by HPLC system. ITS (Internal Transcribed spacer) sequencing techniques were used to detect the changes of microbial communities during the aging process of CP-‘Chachi’. The results indicated that the levels of flavonoids and total polyphenols, except for hesperidin, increased aging time, with the most significant growth observed in 5-O-desmethyl nobiletin at 298.36%, while hesperidin decreased by 32.52%. The three most abundant genera were Xeromyces, Symmetrospora and Cladosporium, and the highest number of genera was found in CP-2013. The community composition of CP-1993 and CP-2003 was highly similar, Xeromyces accounted for 84.04% and 83.58% in CP-1993 and CP-2003, respectively. The findings demonstrated that only the abundance of Xeromyces was positively correlated with the accumulation of active components during the aging process of CP-‘Chachi’. This indicated that Xeromyces was considered the dominant genus responsible for the aging quality of CP-'Chachi'. The relationship between the changes in flavonoids and fungal diveresity was preliminarily verified, which provided new insights into the study of the aging mechanism of CP-‘Chachi’ and its influencing factors on quality.

Comprehensive identifying flavonoids in Citri Reticulatae Pericarpium using a novel strategy based on precursor ions locked and targeted MS/MS analysis

Citri Reticulatae Pericarpium is a traditional Chinese medicine with extremely high health benefits as well as clinical value. In vivo and in vitro tests have proved that its main active secondary metabolites are flavonoids. However, they have not been comprehensively analyzed up to now mainly due to lack of suitable analysis method. To solve this problem, a novel strategy based on precursor ions locked and targeted MS/MS analysis was proposed. Firstly, the database of the flavonoids previously isolated from Citri Reticulatae Pericarpium was established to obtain the characteristics of their precursor ions. Secondly, after performing the full MS scan of the extract, all compounds in the total ion chromatogram were extracted by Compound Discoverer software. Thirdly, the precursor ions of the flavonoids were locked from the extracted compounds according to their characteristics, forming a precursor ions list. Finally, the precursor ions in the constructed list were performed targeted MS/MS analysis for structures characterization. As a result, total 187 flavonoids were successfully identified, and except for flavones, flavonols as well as dihydroflavones, some chalcones were also characterized from Citri Reticulatae Pericarpium for the first time.

Development of an High Performance Liquid Chromatography Method for Simultaneous Determination of Hesperidin and Sodium Benzoate in Kien Ty Syrup

The Kien ty syrup is formulated from six medicinal materials, including Pericarpium Citri Reticulatae, Fructus Aurantii immaturus, Radix Codonopsis, Rhizoma Atractylodis macrocephalae, Fructus Crataegi, Fructus Hordei germinatus and sodium benzoate as a preservative. Hesperidin, a bioflavonoid found in Pericarpium Citri Reticulatae, Fructus Aurantii immaturus, is used to assess the syrup's quality in terms of assay. In this study, an HPLC method for simultaneous determination of hesperidin and sodium benzoate in Kien ty syrup was developed. The method was performed on an Agilent C18 column (250 × 4.6 mm; 5 μm) with the mobile phase being a mixture of 0.05 M phosphate buffer solution pH 5.5: acetonitrile (70:30, v/v), running in a isocratic elution mode. The flow rate was set at 1.0 mL/min, and the injection volume was 10 μL. The analytes were detected at 225 nm. The method was validated and met the requirements according to ICH, AOAC guidelines. Applying the developed quantification method, the analysis of three sirup lots revealed that the content of hesperidin and sodium benzoate ranged from 0.480-0.504 mg/mL and 2.869-2.306 mg/mL, respectively. The study results indicate that this quantification method can be applied for simultaneous determination of hesperidin and sodium benzoate in Kien ty syrup and similar products.&#x0D;

Naringenin inhibits APAP-induced acute liver injury through activating PPARA-dependent signaling pathway

Acute liver injury (ALI) refers to the damage to the liver cells of patients due to drugs, food, and diseases. In this work, we used a network pharmacology approach to analyze the relevant targets and pathways of the active ingredients in Citri Reticulatae Pericarpium (CRP) for the treatment of ALI and conducted systematic validation through in vivo and in vitro experiments. The network pharmacologic results predicted that naringenin (NIN) was the main active component of CRP in the treatment of ALI. GO functional annotation and KEGG pathway enrichment showed that its mechanism may be related to the regulation of PPARA signaling pathway, PPARG signaling pathway, AKT1 signaling pathway, MAPK3 signaling pathway and other signaling pathways. The results of in vivo experiments showed that (NIN) could reduce the liver lesions, liver adipose lesions, hepatocyte injury and apoptosis in mice with APAP-induced ALI, and reduce the oxidative stress damage of mouse liver cells and the inflammation-related factors to regulate ALI. In vitro experiments showed that NIN could inhibit the proliferation, oxidative stress and inflammation of APAP-induced LO2 cells, promote APAP-induced apoptosis of LO2 cells, and regulate the expression of apoptotic genes in acute liver injury. Further studies showed that NIN inhibited APAP-induced ALI mainly by regulating the PPARA-dependent signaling pathway. In conclusion, this study provides a preliminary theoretical basis for the screening of active compounds in CRP for the prevention and treatment of ALI.

Metabolomic Profiling Reveals the Quality Variations in Citri Reticulatae Pericarpium (Citrus reticulata Blanco cv. Chachiensis) with Different Storage Ages in Response to "Candidatus Liberibacter Asiaticus" Infection.

Citri Reticulatae Pericarpium, especially the pericarp of Citrus reticulata Blanco cv. Chachiensis (PCRC), is an important edible and medicinal ingredient for health and pharmacological properties. Citrus Huanglongbing, a devastating disease that currently threatens the citrus industry worldwide, is caused by a phloem-limited alpha-proteobacterium, "Candidatus Liberibacter asiaticus" (CLas). The industry of cultivar Chachiensis has been suffering from HLB. Although HLB affected the quality of citrus fruit, whether the quality of PCRC was affected by HLB remains unclear. In this study, we compared the metabolite profiles between HLB-affected and healthy PCRC from three sources: fresh, 6-month-old, and 9-year-old PCRC, through the untargeted LC-MS method. Compared to healthy controls, various types of bioactive compounds, mainly flavonoids, terpenoids, alkaloids, coumarins, polysaccharides, and phenolic acids, accumulated in HLB-affected PCRC, especially in the HLB-affected 9-year PCRC. In particular, isorhamnetin, isoliquiritigenin, luteolin 7-O-beta-D-glucoside, limonin, geniposide, pyrimidodiazepine, scoparone, chitobiose, m-coumaric acid, malonate, and pantothenic acid, which contributed to the pharmacological activity and health care effects of PCRC, were highly accumulated in HLB-affected 9-year-old PCRC compared to the healthy control. Multibioassay analyses revealed that HLB-affected 9-year-old PCRC had a higher content of total flavonoids and total polyphenols and exhibited similar antioxidant capacity as compared to healthy controls. The results of this study provided detailed information on the quality of HLB-affected PCRC.

Fungal community analysis of two edible herbs: Citri reticulatae pericarpium and polygalae radix

Citri Reticulatae Pericarpium(CRP) and Polygalae Radix (PR) are traditional Chinese medicinal herbs and dietary supplements, and they are commonly included in most prescriptions. Fungal contamination in CRP and PR has long been a concern for the public. Thus, in this study, the fungal diversity and abundance in CRP and PR were investigated via high-throughput sequencing technology. Analysis was conducted to determine the differences in dominant fungal microbiomes between mouldy and nonmouldy samples, and the correlation between the total number of fungi and fungal diversity in medicinal herbs at different altitudes and latitudes with other research was explored. Results show the fungal contamination of all 12 samples. At the phylum level, Ascomycota prevailed the most in CRP and PR with relative abundances of 56.96%–99.26% and 23.28%–76.06%, respectively. The dominant genera in CRP comprised Xeromyces (2.57%–53.21%), Aspergillus (0.18%–23.04%), Cystofilobasidium (0.032%–28.03) and Xerochrysium (0.31%–34.41%). The dominant genera in PR included Wallemia (0.27%–56.20%), Aspergillus (2.03%–48.06%), Xeromyces (0.20%–48.28%) and Xerochrysium (0.093%–43.95%). Two potential toxigenic fungi were detected: Alternaria alternata and Aspergillus versicolor. In addition, combined with the results of previous studies, the findings reveal the possible relation of diversity and abundance of fungal species to altitude and latitude: As the altitude and latitude decrease, the diversity and abundance of fungal species may increase. In conclusion, for the first time, this study focused on altitude and latitude as indicators and integrated multiple research findings to explore the correlation between the total amount and diversity of fungal species in the two edible herbs. Results reveal the fungal contamination of the surfaces of CRP and PR and provide a theoretical basis for the prevention and control of their fungal contamination.

Effects of Designed Herbal Formula on Growth Performance, Blood Indices, Organ Traits, and Cecum Microbiology in Broilers.

The objective of this study was to investigate the effect of the designed herbal formula (DHF) on growth performance, blood indices, organ traits, and cecum microbiology in broilers. A total of 96 male broilers of 1 d were selected and randomly assigned to two groups with six replicates of eight broilers each. The control (CON) and the basal diet containing 1.0% DHF (Astragali radix, Atractylodes macrocephala Koidz., Isatis tinctoria Linnaeus, and Citri reticulatae pericarpium, 2:1:1:2) were fed separately. The experiment was conducted for 35 days. The results showed that the DHF diet increased body weight and decreased the feed conversion ratio (FCR) (p < 0.05). At 21 days, the spleen, thymus, lymphocytes, and thrombocytes were increased (p < 0.05), and pancreas, duodenum, heterophils, and mean corpuscular hemoglobin (MCH) were decreased (p < 0.05). At 35 days, the heart, pancreas, white blood cell, heterophils, hemoglobin, MCH and mean corpuscular hemoglobin concentration (MCHC) were decreased, while lymphocytes and middle cells were increased (p < 0.05). The results of microbial diversity analysis showed that the DHF diet decreased the microbial diversity of the cecum. Firmicutes and Bacteroidetes were the dominant phyla, where the DHF diet increased the relative abundances of Bacteroides uniformis, Bacteroides vulgatus, and Faecalibacterium prausnitzii, and then decreased the relative abundance of Shigella sonnei. In conclusion, DHF played a positive role in improving the growth performance, immune performance, and relative abundance of Bacteroides uniformis, Bacteroides vulgatus, and Faecalibacterium prausnitzii in cecum microbiology in broilers, and has the potential to be used as a novel feed additive.

A novel traditional Chinese medicine combination for radiation

ObjectiveTo formulate an efficacious radioprotective combination of Chinese medicines with minimal toxicity. MethodsAqueous and alcoholic extracts from 38 traditional Chinese herbs were prepared. To produce drug-containing sera, rats received six doses of each extract via oral gavage at 12-h intervals. Subsequently, human lung epithelial BEAS-2B cells were cultured in these drug-containing sera. The cell viability was assessed after different doses of irradiation to identify the radioprotective effects of Chinese herbal extracts. The efficacy of a selected Chinese herbal extract combination was further confirmed through cell viability analysis via in vitro colony formation and survival rate assessments in C57BL/6 mice post-irradiation. ResultsExtracts from Angelicae Sinensis Radix (ASR; two extracts), Citri Reticulatae Pericarpium (CRP), Platycladi Cacumen (PC), Schisandrae chinensis Fructus (SF), Scutellariae Radix (SR), and Glycyrrhizae Radix et Rhizome (GRR) demonstrated radioprotective effects. The combination of the seven Chinese herbal extracts notably increased the survival and viability of the BEAS-2B cells exposed to varying doses of X-rays. Moreover, the group of mice receiving Chinese medicine combination and irradiation exhibited prolonged survival after exposure to 6.5 ​Gy X-rays with a median survival of （14 ​± ​2）d compared to （11 ​± ​2）d in the irradiated group without the herbal treatment. Additionally, the Chinese medicine combination group displayed a significantly higher 28 ​d survival rate (30%) compared to the irradiation-only group (16.6%, P ​< ​0.05). ConclusionThe novel combination of Chinese herbal extracts from ASR, CRP, PC, SF, SR, and GRR has the potential for radiation protection applications.

Application of flash GC e-nose and FT-NIR combined with deep learning algorithm in preventing age fraud and quality evaluation of pericarpium citri reticulatae

Pericarpium citri reticulatae (PCR) is the dried mature fruit peel of Citrus reticulata Blanco and its cultivated varieties in the Brassicaceae family. It can be used as both food and medicine, and has the effect of relieving cough and phlegm, and promoting digestion. The smell and medicinal properties of PCR are aged over the years; only varieties with aging value can be called “Chenpi”. That is to say, the storage year of PCR has a great influence on its quality. As the color and smell of PCR of different storage years are similar, some unscrupulous merchants often use PCRs of low years to pretend to be PCRs of high years, and make huge profits. Therefore, we did this study with the aim of establishing a rapid and nondestructive method to identify the counterfeiting of PCR storage year, so as to protect the legitimate rights and interests of consumers. In this study, a classification model of PCR was established by e-eye, flash GC e-nose, and Fourier transform near-infrared (FT-NIR) combined with machine learning algorithms, which can quickly and accurately distinguish PCRs of different storage years. DFA and PLS-DA models were established by flash GC e-nose to distinguish PCRs of different ages, and 8 odor components were identified, among which (+)-limonene and γ-terpinene were the key components to distinguish PCRs of different ages. In addition, the classification and calibration model of PCRs were established by the combination of FT-NIR and machine learning algorithms. The classification models included SVM, KNN, LSTM, and CNN-LSTM, while the calibration models included PLSR, LSTM, and CNN-LSTM. Among them, the CNN-LSTM model built by internal capsule had significantly better classification and calibration performance than the other models. The accuracy of the classification model was 98.21 %. The R2P of age, (+)-limonene and γ-terpinene was 0.9912, 0.9875 and 0.9891, respectively. These results showed that the combination of flash GC e-nose and FT-NIR combined with deep learning algorithm could quickly and accurately distinguish PCRs of different ages. It also provided an effective and reliable method to monitor the quality of PCR in the market.

Mechanism of Citri Reticulatae Pericarpium in treating Alzheimer’s disease based on network pharmacology and molecular docking

Mechanism of Citri Reticulatae Pericarpium in treating Alzheimer’s disease based on network pharmacology and molecular docking

Multivariate analysis of metabolites in Citri Reticulatae Pericarpium and Citri Reticulatae Pericarpium Viride extracts based on metabolomics approach and their antioxidant activity

Citri Reticulatae Pericarpium (CRP) and Citri Reticulatae Pericarpium Viride (CRPV) possess a rich medicinal heritage. While both belonging to the Rutaceae family, they exhibit distinct traditional Chinese medicinal properties, chemical constituents, and pharmacological effects. This study utilizes UPLC-QTOF-MS/MS in conjunction with metabolic amalgamation and multivariate statistical analysis to elucidate the molecular disparities in chemical composition between CRP and CRPV. A comprehensive total of 367 compounds have been delineated, including 147 flavonoids, 110 alkaloids, 25 organic acids, 21 coumarins, 19 glycolides, 17 hydroxyzable tannins, 13 phenols, 11 terpenoids, and 4 anisors. The majority of these constituents are documented here for the first time. The outcomes of non-targeted metabolomics analysis revealed noteworthy disparities in chemical attributes between CRP and CRPV, particularly in flavonoids, phenols, glycosides, and terpenoids. Furthermore, variations in the relative compound content under diverse solvent extractions were elucidated. Notably, the extraction efficiency of the high-polarity solvent methanol surpasses that of the medium-polarity extractant ethyl acetate. The assessment of antioxidant activity revealed that the methanol extract of CRP exhibited an antioxidant capacity akin to that of the ascorbic acid. The extract sample was added to healthy human umbilical vein endothelial cells for cell viability testing, and no cytotoxic effect was observed. This investigation offers a novel vantage point for the thorough analysis and utilization of citrus peel across various stages of maturity.

Flavor characterization of Citri Reticulatae Pericarpium (Citrus reticulata ‘Chachiensis’) with different aging years via sensory and metabolomic approaches

Guangchenpi (GCP), which is the peel of Citrus reticulata ‘Chachiensis’, is widely used as an herbal medicine, tea and food ingredient in southeast Asia. Prolonging its aging process results in a more pleasant flavor and increases its profitability. Through the integration of sensory evaluation with flavoromic analysis approaches, we evaluated the correlation between the flavor attributes and the profiles of the volatiles and flavonoids of GCP with various aging years. Notably, d-limonene, γ-terpinene, dimethyl anthranilate and α-phellandrene were the characteristic aroma compounds of GCP. Besides, α-phellandrene and nonanal were decisive for consumers’ perception of GCP aging time due to changes of their odor activity values (OAVs). The flavor attributes of GCP tea liquid enhanced with the extension of aging time, and limonene-1,2-diol was identified as an important flavor enhancer. Combined with machine learning models, key flavor-related metabolites could be developed as efficient biomarkers for aging years to prevent GCP adulteration.

Recent advances in the authentication (geographical origins, varieties and aging time) of tangerine peel (Citri reticulatae pericarpium): A review

The consumption of tangerine peel (Citri reticulatae pericarpium, CRP) has been steadily increasing worldwide due to its proven health benefits and sensory characteristics. However, the price of CRP varies widely based on its origin, variety, and aging time, which has led many manufacturers to offer inferior products by exploiting the sensory similarity of CRP, seriously undermining consumers' interests. Therefore, it is essential to identify the authenticity of the CRP. In this study, the research progress on the authenticity of CRP from different origins, years and varieties over the past 10 years and the application and prospects of the main technologies and techniques were reviewed. The advantages and disadvantages of the commonly used methods were also summarized and compared. Mass spectrometry-based and spectroscopy-based techniques are the most commonly used methods for analyzing CRP authenticity. However, designing fast, non-destructive and green methods for identifying CRP authenticity would be the future trend.

Nobiletin targets SREBP1/ACLY to induce autophagy-dependent cell death of gastric cancer cells through PI3K/Akt/mTOR signaling pathway

BackgroundAutophagy could sense metabolic conditions and safeguard cells against nutrient deprivation, ultimately supporting the survival of cancer cells. Nobiletin (NOB) is a kind of bioactive component of the traditional Chinese medicine Citri Reticulatae Pericarpium and has been proven to induce GC cell death by reducing de novo fatty acid synthesis in our previous study. Nevertheless, the precise mechanisms by which NOB induces cell death in GC cells still need further elucidation. ObjectivesTo examine the mechanism by which NOB inhibits gastric cancer progression through the regulation of autophagy under the condition of lipid metabolism inhibition. Methods/ study designProliferation was detected by the CCK-8 assay. RNA sequencing (RNA-seq) was used to examine signaling pathway changes. Electron microscopy and mRFP-GFP-LC3 lentiviral transfection were performed to observe autophagy in vitro. Western blot, plasmid transfection, immunofluorescence staining, and CUT & Tag-qPCR techniques were utilized to explore the mechanisms by which NOB affects GC cells. Molecular docking and molecular dynamics simulations were conducted to predict the binding mode of NOB and SREBP1. CETSA was adopted to verify the predicted of binding model. A patient-derived xenograft (PDX) model was employed to verify the therapeutic efficacy of NOB in vivo. ResultsWe conducted functional studies and discovered that NOB inhibited the protective effect of autophagy via the PI3K/Akt/mTOR axis in GC cells. Based on previous research, we found that the overexpression of ACLY abrogated the NOB-induced autophagy-dependent cell death. In silico analysis predicted the formation of a stable complex between NOB and SREBP1. In vitro assays confirmed that NOB treatment increased the thermal stability of SREBP1 at the same temperature conditions. Moreover, CUT&TAG-qPCR analysis revealed that NOB could inhibit SREBP1 binding to the ACLY promoter. In the PDX model, NOB suppressed tumor growth, causing SREBP1 nuclear translocation inhibition, PI3K/Akt/mTOR inactivation, and autophagy-dependent cell death. ConclusionNOB demonstrated the ability to directly bind to SREBP1, inhibiting its nuclear translocation and binding to the ACLY promoter, thereby inducing autophagy-dependent cell death via PI3K/Akt/mTOR pathway.

Optimizing BP neural network algorithm for Pericarpium Citri Reticulatae (Chenpi) origin traceability based on computer vision and ultra-fast gas-phase electronic nose data fusion

This study utilized computer vision to extract color and texture features of Pericarpium Citri Reticulatae (PCR). The ultra-fast gas-phase electronic nose (UF-GC-E-nose) technique successfully identified 98 volatile components, including olefins, alcohols, and esters, which significantly contribute to the flavor profile of PCR. Multivariate statistical Analysis was applied to the appearance traits of PCR, identifying 57 potential marker-trait factors (VIP > 1 and P < 0.05) from the 118 trait factors that can distinguish PCR from different origins. These factors include color, texture, and odor traits. By integrating multivariate statistical Analysis with the BP neural network algorithm, a novel artificial intelligence algorithm was developed and optimized for traceability of PCR origin. This algorithm achieved a 100% discrimination rate in differentiating PCR samples from various origins. This study offers a valuable reference and data support for developing intelligent algorithms that utilize data fusion from multiple intelligent sensory technologies to achieve rapid traceability of food origins.

Network Pharmacology and Molecular Modeling Techniques in Unraveling the Underlying Mechanism of Citri Reticulatae Pericarpium aganist Type 2 Diabetic Osteoporosis.

Type 2 diabetic osteoporosis (T2DOP) is a common complication in diabetic patients that seriously affects their health and quality of life. The pathogenesis of T2DOP is complex, and there are no targeted governance means in modern medicine. Citri Reticulatae Pericarpium (CRP) is a traditional Chinese medicine that has a long history and has been used in the treatment of osteoporosis diseases. However, the molecular mechanism for the CRP treatment of T2DOP is not clear. Therefore, this study aimed to explore the underlying mechanisms of CRP for the treatment of T2DOP by using network pharmacology and molecular modeling techniques. By retrieving multiple databases, we obtained 5 bioactive compounds and 63 common targets of bioactive compounds with T2DOP, and identified AKT 1, TP 53, JUN, BCL 2, MAPK 1, NFKB 1, and ESR 1 as the core targets of their PPI network. Enrichment analysis revealed that these targets were mainly enriched in the estrogen signaling pathway, TNF signaling pathway, and AGE-RAGE signaling pathway in diabetics, which were mainly related to oxidative stress and hormonal regulation. Molecular docking and molecular dynamics simulations have shown the excellent binding effect of the bioactive compounds of CRP and the core targets. These findings reveal that CRP may ameliorate T2DOP through multiple multicomponent and multitarget pathways.

Determination of synephrine in herbal plants using an isotopically labeled internal standard HPLC–MS/MS method

We developed a rapid, precise, and sensitive method to quantify synephrine in herbal plants, using methanol–water solution (8:2, v/v) as the extracting agent and high-performance liquid chromatography–tandem mass spectrometry (HPLC–MS/MS) for analysis. To mitigate matrix effects, we employed synephrine-13C2, 15N as an internal standard and separated synephrine using a reverse-phase column. We established a highly accurate standard curve (R2 ≥ 0.9997). The method demonstrated excellent intra-day recoveries (96.35 %–103.19 %) at three spiked concentrations (0.5, 10, 100 μg/g), with minimal standard deviations (<4.84 %). The limits of detection and quantification of this method were 0.1 μg/g and 0.5 μg/g, respectively. Using this approach, we analyzed synephrine content in 24 herbal plants. Substantial concentrations of synephrine were found in Citri Reticulatae Pericarpium Viride (13.204 mg/g) and Aurantii Fructus Immaturus (7.077 mg/g), whereas the remaining species either exhibited lower concentrations or were devoid of synephrine. This approach fulfills the requirements for synephrine detection.

Combination of in silico prediction and convolutional neural network framework for targeted screening of metabolites from LC-HRMS fingerprints: A case study of “Pericarpium Citri Reticulatae - FructusAurantii”

In this study, a novel approach is introduced, merging in silico prediction with a Convolutional Neural Network (CNN) framework for the targeted screening of in vivo metabolites in Liquid Chromatography-High Resolution Mass Spectrometry (LC-HRMS) fingerprints. Initially, three predictive tools, supplemented by literature, identify potential metabolites for target prototypes derived from Traditional Chinese Medicines (TCMs) or functional foods. Subsequently, a CNN is developed to minimize false positives from CWT-based peak detection. The Extracted Ion Chromatogram (EIC) peaks are then annotated using MS-FINDER across three levels of confidence. This methodology focuses on analyzing the metabolic fingerprints of rats administered with "Pericarpium Citri Reticulatae - Fructus Aurantii" (PCR-FA). Consequently, 384 peaks in positive mode and 282 in negative mode were identified as true peaks of probable metabolites. By contrasting these with “blank serum” data, EIC peaks of adequate intensity were chosen for MS/MS fragment analysis. Ultimately, 14 prototypes (including flavonoids and lactones) and 40 metabolites were precisely linked to their corresponding EIC peaks, thereby providing deeper insight into the pharmacological mechanism. This innovative strategy markedly enhances the chemical coverage in the targeted screening of LC-HRMS metabolic fingerprints.