Flos Lonicerae Research Articles

Based on network pharmacology and molecular docking, the mechanism of action of Chinese herbal compound on mycoplasma synovial sac of chicken was studied

Mycoplasma synoviae (MS) is a wall-less pathogen primarily transmitted through the respiratory tract, causing synovitis and airsacculitis in poultry, which leads to substantial economic losses in the poultry industry. China has a long-standing tradition of Chinese medicine with abundant medicinal resources, renowned for its safety, efficacy, and holistic regulatory effects. This study aims to screen a traditional Chinese medicine (TCM) compound with anti-inflammatory and immunoregulatory properties and preliminarily validate its in vitro efficacy against MS infections. Based on the research foundation of this experiment and findings from previous studies, this study utilized network pharmacology analysis and molecular docking techniques to identify the anti-inflammatory and immunoregulatory effects of traditional Chinese medicinal herbs, including Rhizoma Coptidis, Honeysuckle (Flos Lonicerae Japonicae), Radix Codonopsis, and Radix Glycyrrhizae.The primary active components and potential targets were identified using the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP) and other platforms. Protein-protein interaction (PPI) networks, Gene Ontology (GO) functional annotation, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were employed to identify critical therapeutic targets. The AutoDock software was used for molecular docking between active components and core targets. Subsequently, in vitro experiments were conducted to validate the effects of key active components on MS targets. The analysis revealed that this TCM compound contains 122 active components, including flavonoids (e.g., quercetin, trimethylisoflavone), chromones (e.g., anti-inflammatory coumarin A), and triterpenes (e.g., glycyrrhizic acid B). These components act on 739 pharmacological targets, and Venn analysis identified 23 intersection targets related to MS. Further analysis indicated that STAT3, IL6, and IL1B were potential core targets. KEGG pathway enrichment analysis showed that MAPK, FoxO, and Toll-like receptor signaling pathways played critical roles in the pathology and treatment of MS, while GO analysis emphasized the significance of the NF-κB signaling pathway and VEGF receptor pathway in immune regulation, inflammation, and tissue repair. Molecular docking results demonstrated that lignans and quercetin in this TCM compound exhibited strong binding affinities to IL1B, IL6, and STAT3, potentially modulating these key targets to exert anti-inflammatory and immunoregulatory effects. In vitro experiments further validated the significant inhibitory effects of quercetin and glycyrrhizic acid on MS infection. The findings suggest that this TCM compound may exert therapeutic effects on MS infection by regulating targets such as CASP3, TLR4, STAT3, IL6, and IL1B, and modulating signaling pathways including MAPK, NF-κB, and FoxO.

Induction of cytochrome P450 via upregulation of CAR and PXR: a potential mechanism for altered florfenicol metabolism by macranthoidin B in vivo.

Macranthoidin B (MB) is a primary active component of Flos Lonicerae. In Chinese veterinary clinics, Flos Lonicerae is frequently used in combination with florfenicol to prevent and treat infections in livestock and poultry. However, potential interactions between Flos Lonicerae and florfenicol remain unclear. To systematically study these interactions, it is crucial to investigate the individual phytochemicals within Flos Lonicerae. Therefore, MB was selected for this study to assess its effect on the pharmacokinetics of florfenicol in vivo and to explore the underlying mechanisms involved. Male Sprague-Dawley rats were administered MB (60 mg/kg BW) or sterile water orally for 7 consecutive days. On the 8th day, a single oral dose of florfenicol (25 mg/kg BW) was given. Florfenicol pharmacokinetics were analyzed using ultra-high performance liquid chromatography. The hepatic expression levels of cytochrome P450 (CYP1A2, CYP2C11, CYP3A1), UDP-glucuronosyltransferase (UGT1A1), P-glycoprotein (P-gp), and nuclear receptors, including constitutive androstane receptor (CAR), pregnane X receptor (PXR), and retinoid X receptor alpha (RXRα), were quantified via reverse transcription-quantitative polymerase chain reaction and Western blotting (WB). Hepatic CYP1A2 and CYP2C11 activities were measured using a cocktail method. Additionally, the subcellular expression and localization of CAR, PXR, and RXRαin hepatocytes was assessed using WB and immunofluorescence staining. MB significantly reduces the AUC(0-∞) and MRT(0-∞) of florfenicol. MB also markedly upregulates the mRNA and protein expression of hepatic CYP1A2 and CYP2C11, along with their catalytic activities. Substantial upregulation of CAR and PXR proteins occurs in the hepatocyte nucleus, along with significant nuclear colocalization of the transcriptionally active CAR/RXRα and PXR/RXRαheterodimers, indicating MB-induced nuclear translocation of both CAR and PXR. These findings suggest that MB-induced alterations in florfenicol pharmacokinetics, particularly its accelerated elimination, may be due to increased expression and activities of CYP1A2 and CYP2C11, with CAR and PXR potentially involved in these regulatory effects. Further investigation is yet needed to fully elucidate the clinical implications of these interactions concerning the efficacy of florfenicol in veterinary medicine.

A Diboronic Acid-Based Fluorescent Sensor Array for Rapid Identification of Lonicerae Japonicae Flos and Lonicerae Flos.

Lonicerae japonicae flos (LJF) and Lonicerae flos (LF) are traditional Chinese herbs that are commonly used and widely known for their medicinal properties and edibility. Although they may have a similar appearance and vary slightly in chemical composition, their effectiveness as medicine and their use in clinical settings vary significantly, making them unsuitable for substitution. In this study, a novel 2 × 3 six-channel fluorescent sensor array is proposed that uses machine learning algorithms in combination with the indicator displacement assay (IDA) method to quickly identify LJF and LF. This array comprises two coumarin-based fluorescent indicators (ES and MS) and three diboronic acid-substituted 4,4'-bipyridinium cation quenchers (Q1-Q3), forming six dynamic complexes (C1-C6). When these complexes react with the ortho-dihydroxy groups of phenolic acid compounds in LJF and LF, they release different fluorescent indicators, which in turn causes distinct fluorescence recovery. By optimizing eight machine learning algorithms, the model achieved 100% and 98.21% accuracy rates in the testing set and the cross-validation predictions, respectively, in distinguishing between LJF and LF using Linear Discriminant Analysis (LDA). The integration of machine learning with this fluorescent sensor array shows great potential in analyzing and detecting foods and pharmaceuticals that contain polyphenols.

Application of handheld near infrared spectrometer in quality control of traditional Chinese medicine: Rapid screening and quantitative analysis of Lonicerae Japonicae Flos adulteration

Traditional Chinese medicine (TCM) prescription, with its intricate formulations and nuanced compositions, is a cornerstone of holistic health practices. However, the expansion of the TCM market has led to a surge in herb adulteration, which significantly undermines the quality and safety of these medicinal products. A case in point is Lonicerae Japonicae Flos (LJF), a widely utilized herb for treating colds, which has been adulterated by the cheaper Lonicerae Flos (LF), thereby affecting its therapeutic effectiveness. Therefore, a method utilizing handheld NIR spectroscopy combined with chemometrics has been developed to provide a portable, real-time solution for the rapid and accurate detection and quantification of adulterants in TCM. By collecting NIR spectra from LJF, LF and adulterated samples (AS), we’ve established a spectral database enabling deep insights into the correlation between spectral features and sample compositions. Resultantly, a classification model with a 99.58 % cross-validation accuracy, reaching 100 % for test set, effectively identified adulterants. And further spectral similarity analysis and classification identification of samples with different adulteration ratios were carried out. The cross-validation accuracy under the optimal model reached 98.38 %, and the test set accuracy was 99.20 %. In addition, the study extends to quantifying different levels of adulteration, employing 20 standard adulterated samples across a 0–100 % adulteration gradient. Via data preprocessing, feature extraction, and regression techniques, the full concentration prediction models were developed, later refined by segmenting samples based on high and low adulteration ratios. Under the SGFD_CARS_PLS (Savitzky-Golay smoothing with the first derivative_competitive adaptive reweighted sampling_partial least squares) model, exceptional performance was achieved, with a R2p of 0.983, RMSEp of 3.402, and RPDp of 7.757 for the homemade adulterated prediction set. In conclusion, the application of this technology not only improves the efficiency and accuracy of screening, but also has the advantages of low cost, easy operation and rapid results compared with traditional chemical analysis methods. It effectively protects the safety of drugs for consumers, maintains the integrity of the TCM market, and provides a strong technical support for the on-site rapid detection of TCM.

A real-world study of the differences in Traditional Chinese Medicine diagnosis and treatment rules for coronavirus disease 2019 between Northern and Southern China.

To explore the differences in Traditional Chinese Medicine (TCM) diagnosis and treatment rules for coronavirus disease 2019 (COVID-19) between Northern and Southern China based on the real-world data from 982 COVID-19 patients. All consecutive cases of COVID-19 admitted to the TCM department of designated COVID-19 hospitals in eight provinces and cities were retrospectively analyzed. Patients were divided into a Northern and a Southern group according to the location of the admitting hospital. The symptoms, syndrome elements, syndrome distribution and herbal treatments were analyzed. The core prescriptions were extracted using the multiscale backbone-based network comparison algorithm (msbNC). The distribution of syndrome elements showed that dampness was common in Northern and Southern China, wind and heat were more often present in the South, while fire toxin and spleen deficiency were more often encountered in the North. The distribution of syndromes showed that the South was dominated by heat dampness accumulating in the lung (55.69%), while the North was dominated by dampness-toxin stagnating in the lung (44.90%).The results of core prescription mining showed that dispelling dampness, dispersing wind, clearing heat and strengthening spleen were the common treatment methods in Northern and Southern China. For mild cases, Jinyinhua (Flos Lonicerae) and Lianqiao (Fructus Forsythiae Suspensae) were often used in the South to clear heat and relieve exterior symptoms, while Chaihu (Radix Bupleuri Chinensis) and Huangqin (Radix Scutellariae Baicalensis) were often used in the North to relieve muscles by expelling heat. For moderate cases, Chaihu (Radix Bupleuri Chinensis), Qinghao (Herba Artemisiae Annuae), and Shigao (Gypsum Fibrosum) were often used to clear heat of Tri-jiao Channel and stomach in the South, while Fuling (Poria), Chenpi (Pericarpium Citri Reticulatae), and Dangshen (Radix Codonopsis) were often used to invigorate spleen and remove dampness in the North. For severe cases, spleen invigoration and dampness removal as well as relaxing the bowels and discharging heat were often used in the North. There were certain North-South differences in terms of symptoms, syndrome elements and syndrome distribution of COVID-19, as well as differences in core prescriptions during different periods of the disease. The regional differences in the rules of TCM diagnosis and treatment for COVID-19 should be further considered in the process of optimization and revision of relevant treatment guidance.

Quality Evaluation of Lonicerae Flos Produced in Southwest China Based on HPLC Analysis and Antioxidant Activity.

Lonicera macranthoides, the main source of traditional Chinese medicine Lonicerae Flos, is extensively cultivated in Southwest China. However, the quality of L. macranthoides produced in this region significantly varies due to its wide distribution and various cultivation breeds. Herein, 50 Lonicerae Flos samples derived from different breeds of L. macranthoides cultivated in Southwest China were collected for quality evaluation. Six organic acids and three saponin compounds were quantitatively analyzed using HPLC. Furthermore, the antioxidant activity of a portion of samples was conducted with 2,2'-Azinobis-(3-ethylbenzthiazoline-6-sulphonate) (ABTS) and 1,1-diphenyl-2-picryl-hydrazyl (DPPH) radical scavenging experiments. According to the quantitative results, all samples met the quality standards outlined in the Chinese Pharmacopoeia. The samples from Guizhou, whether derived from unopened or open wild-type breeds, exhibited high quality, while the wild-type samples showed relatively significant fluctuation in quality. The samples from Chongqing and Hunan demonstrated similar quality, whereas those from Sichuan exhibited relatively lower quality. These samples demonstrated significant abilities in clearing ABTS and DPPH radicals. The relationship between HPLC chromatograms and antioxidant activity, as elucidated by multivariate analysis, indicated that chlorogenic acid, isochlorogenic acid A, isochlorogenic acid B, and isochlorogenic acid C are active components and can serve as Q-markers for quality evaluation.

Yantiao Formula Intervention in Rats with Sepsis: Network Pharmacology and Experimental Analysis.

Traditional Chinese Medicine prescribes Yantiao Formula (YTF; peach kernel, mirabilite, Angelica sinensis, Radix Scrophulariae, raw rhubarb, Radix Paeoniae, Flos Lonicerae, Forsythia and Ophiopogon japonicus) to treat sepsis. Clinically, it reduced the inflammatory response of sepsis. It also reduced lung damage by decreasing the level of TNF-α in septic rats' serum. Using network pharmacology analysis, we investigated the efficacy network and mechanism of YTF in treating sepsis. We used the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and a Bioinformatics Analysis Tool for Molecular Mechanisms of Traditional Chinese Medicine (BATMAN-TCM) combined with literature to collect the main components in YTF and their targets. DisGeNET and GENECARDS databases were used for sepsis-related targets. Cytoscape 3.7.1 software was used to construct the herbcomponent- target and ingredient-target-disease interaction protein-protein interaction networks of YTF. The jvenn was used to perform the intersection of YTF targets and sepsis targets. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were performed． We also created a sepsis rat model using cecal ligation and perforation and stimulated alveolar macrophages (NR8383) with endotoxin to investigate the mechanisms of YTF. GO, and KEGG enrichment analysis revealed that these targets involved mineralocorticoid secretion, aldosterone secretion, active regulation of chronic inflammatory response, the exogenous coagulation pathway, and other pathophysiology. It was linked to various inflammatory factors and the MAPK pathway. YTF inhibits the p38MAPK pathway and decreases TNF- α, IL-6, and CXCL8 levels. YTF has a multi-component, multi-target, and multi-channel role in treating sepsis. The primary mechanisms may involve inhibiting the p38MAPK pathway to reduce the inflammatory response.

PHYSICOCHEMICAL PROPERTIES OF HERBAL SOAP MADE FROM AVERRHOA BILIMBI LEAF AND FLOS LONICERAE

Malaysian herbs, Averrhoa Bilimbi, and Flos Lonicerae, are widely known in traditional Chinese medicine. Both are used as natural remedies for jaundice treatment in newborns. Formulating herbal bath soap by the saponification method is proposed because newborn babies are poor feeders. Today, a lot of chemicals are used in soap production. Users will have a wide range of issues due to chemicals like parabens and triclosan. As a result, soap is made from herbs without chemicals. This herbal soap uses two herbs, Averrhoa Bilimbi leaf and Flos Lonicerae. Paper journals examining these herbs’ physicochemical properties are scarce in Malaysia. After the herbal soap has been successfully created, it will be examined for its physicochemical properties. The antioxidant activity and total phenolic content (TPC), of Averrhoa Bilimbi leaf extract and Flos Lonicerae extract were all tested. The antibacterial activity, heavy metal and pH tests were also validated the suitability of this herbal soap for skin application. According to the findings, Averrhoa Bilimbi leaf extract had a TPC value of 24.49 mg GAE/g compared to 4.96 mg GAE/g for Flos Lonicerae extract. Averrhoa Bilimbi leaf required a slightly higher concentration of 0.0588 g/mL extract to inhibit 50% of the DPPH assay compared to Flos Lonicerae plant extract, which required 0.0315 g/mL. Since there was no evidence of any bacterial growth, the herbal soap was effective against all the tested bacterial strains. The heavy metal test showed the soap does not contain any lead, mercury or arsenic and exhibits a pH value which close to the range for suitable skin application.

Discrimination and characterization of volatile organic compounds in Lonicerae Japonicae flos and Lonicerae flos using multivariate statistics combined with headspace gas chromatography-ion mobility spectrometry and headspace solid-phase microextraction gas chromatography-mass spectrometry techniques.

The volatile organic compounds (VOCs) of Lonicerae Japonicae flos (LJF) and Lonicera flos (LF) play a pivotal role in determining their sensory characteristics, medicinal properties, and subsequent impact on market pricing and consumer preferences. However, the differences and specificity of these VOCs remain obscure. Hence, it is crucial to conduct a comprehensive characterization of the VOCs in LJF and LF and pinpoint their potential differential VOCs. In this study, headspace gas chromatography-ion mobility spectrometry (HS-GC/IMS) and headspace solid-phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC/MS) were employed to comprehensively investigate the compositional characteristics and distinctions in VOCs between LJF and LF. Multivariate statistical analysis was used to identify candidate differential VOCs of LJF and LF samples. A total of 54 and 88 VOCs were identified using HS-GC/IMS and HS-SPME-GC/MS analysis, respectively. Primary VOCs detected in LJF include leaf alcohol, (E)-2-hexen-1-ol dimer, 2-octyn-1-ol, and (E)-3-hexen-1-ol. Key VOCs prevalent in LF encompass farnesol, heptanoic acid, octanoic acid, and valeric acid. Multivariate statistical analysis indicates that compounds such as phenethyl alcohol and leaf alcohol were selected as potential VOCs for distinguishing between LJF and LF. This research conducted a comprehensive analysis of the fundamental volatile components in both LJF and LF. It subsequently elucidated the distinctions and specificities within their respective VOC profiles. And this study enables differentiation between LJF and LF through the analysis of VOCs, offering valuable insights for enhancing the quality control of both LJF and LF.

Qingxuan Runmu Yin alleviates dry eye disease via inhibition of the HMOX1/HIF-1 pathway affecting ferroptosis.

The prevalence of dry eye disease (DED), a multifactorial ocular surface disease characterized by tear film instability, is increasing yearly. Qingxuan Run Mu Yin (QXRMY) is a traditional Chinese medicine (TCM) consisting of Radix Rehmanniae, Radix Scrophulariae, Rhizoma Atractylodis macrocephalae, Herba Dendrobii, Flos Lonicerae, Forsythia suspensa, Ophiopogon japonicus, Saposhnikovia divaricata, Radix Platycodi, and Radix Glycyrrhizae. It has excellent therapeutic effects on dry eye syndrome and a good anti-inflammatory effect on immune-related inflammation. However, the molecular mechanism of Qing Xuan Run Mu Yin in treating dry eye syndrome is largely unknown. The present study used an online database to identify potential target genes of QXRMY for treating DED. The possible mechanisms of these target genes for the treatment of DED were obtained through Gene Ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) databases, Hub genes screened by Cytoscape and intersected with ferroptosis-related genes, and the essential genes were finally obtained based on the results of the analyses. DED cell model and rat model were constructed in this study to validate the critical genes and pathways, and it was confirmed that QXEMY alleviated DED by repressing ferroptosis through inhibiting the HMOX1/HIF-1 pathway. In conclusion, this study integrated network pharmacological analyses and experimental validation to provide an effective method to investigate the molecular mechanism of QXRMY in treating DED.

Classification and Authentication of Lonicerae Japonicae Flos and Lonicerae Flos by Using 1H-NMR Spectroscopy and Chemical Pattern Recognition Analysis.

Lonicerae japonicae flos and Lonicerae flos are increasingly widely used in food and traditional medicine products around the world. Due to their high demand and similar appearance, they are often used in a confused or adulterated way; therefore, a rapid and comprehensive analytical method is highly required. In this case, the comparative analysis of a total of 100 samples with different species, growth modes, and processing methods was carried out by nuclear magnetic resonance (1H-NMR) spectroscopy and chemical pattern recognition analysis. The obtained 1H-NMR spectrums were employed by principal component analysis (PCA), partial least-squares discriminant analysis (PLS-DA), orthogonal partial least-squares discriminant analysis (OPLS-DA), and linear discriminant analysis (LDA). Specifically, after the dimensionality reduction of data, linear discriminant analysis (LDA) exhibited good classification abilities for the species, growth modes, and processing methods. It is worth noting that the sample prediction accuracy from the testing set and the cross-validation predictions of the LDA models were higher than 95.65% and 98.1%, respectively. In addition, the results showed that macranthoidin A, macranthoidin B, and dipsacoside B could be considered as the main differential components of Lonicerae japonicae flos and Lonicerae Flos, while secoxyloganin, secologanoside, and sweroside could be responsible for distinguishing cultivated and wild Lonicerae japonicae Flos. Accordingly, 1H-NMR spectroscopy combined with chemical pattern recognition gives a comprehensive overview and provides new insight into the quality control and evaluation of Lonicerae japonicae flos.

Rapid and simultaneous identification of Lonicera Japonicae Flos and Lonicerae Flos using MLPA‐HRM and rhPCR‐HRM

AbstractBackgroundLonicera Japonicae Flos (LJF) and Lonicerae Flos (LF), derived from different species of Lonicera, are two different types of traditional Chinese medicine (TCM) according to their differences in composition and effectiveness. Because of the high price, good effectiveness of the medicinal, and functional values, LJF is often adulterated by LF in the market. Therefore, two single nucleotide polymorphism‐based genotyping methods, multiplex ligation‐dependent probe amplification high‐resolution melting (MLPA‐HRM) and RNase H2‐dependant PCR (rhPCR)‐HRM, were established for the identification of LF and LJF.ResultsHighly specific MLPA probes and rhPCR‐primers were designed based on the trnL‐trnF regions. The melting temperature (Tm) of amplicons was derived from the peak of the HRM curve, and the differences in Tm values were used to identify LJF and LF. The two methods have both shown good specificity for identifying LJF and LF without cross‐reaction, and have high sensitivity with the detection limits of 0.1 ng DNA template. For mixed samples, MLPA‐HRM could detect LJF mixed with 10% LF while rhPCR‐HRM could detect 5% LF in mixed samples. The MLPA‐HRM and rhPCR‐HRM were performed on DNA extracted from 54 samples of LJF and LF randomly selected from the medicinal material market, all samples were successfully identified and further verified with DNA barcoding.ConclusionMLPA‐HRM and rhPCR‐HRM methods developed in our study not only provided fast, simple, sensitive, and practical identification of LJF and LF, but also provided technical references for the adulteration identification of other herb‐medicines, they are of great significance to the quality control and safe use of plant medicinal materials.

Quality evaluation and multi-spectral identification of origin herbs of Lonicerae Japonicae Flos based on grey correlation-TOPSIS method

The grey correlation-TOPSIS method was used to evaluate the quality of the origin herbs of Lonicerae Japonicae Flos, and the Fourier transform near-infrared(NIR) and mid-infrared(MIR) spectroscopy was applied to establish the identification model of origin herbs of Lonicerae Japonicae Flos by combining chemometrics and spectral fusion strategies. The content of neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid, caffeic acid, secoxyloganin, isoquercitrin, isochlorogenic acid B, isochlorogenic acid A, and isochlorogenic acid C in six origin herbs of Lonicerae Japonicae Flos was determined by high-performance liquid chromatography(HPLC), and their quality was evaluated by the grey correlation-TOPSIS method. The Fourier transform NIR and MIR spectra of six origin herbs of Lonicerae Japonicae Flos(Lonicera japonica, L. macranthoides, L. hypoglauca, L. fulvotomentosa, L. confuse, and L. similis) were collected. At the same time, principal component analysis(PCA), support vector machine(SVM), and spectral data fusion technology were combined to determine the optimal identification method for the origin herbs of Lonicerae Japonicae Flos. There were differences in the quality of the origin herbs of Lonicerae Japonicae Flos. Specifically, there were significant differences between L. japonica and the other five origin herbs(P<0.01). The quality of L. similis was significantly different from that of L. fulvotomentosa, L. macranthoides, and L. hypoglauca(P=0.008, 0.027, 0.01), and there were also significant differences in the quality of L. hypoglauca and L. confuse(P=0.001). The PCA and SVM 2D models based on a single spectrum could not be used for the effective identification of the origin herbs of Lonicerae Japonicae Flos. The data fusion combined with the SVM model further improved the identification accuracy, and the identification accuracy of the mid-level data fusion reached 100%. Therefore, the grey correlation-TOPSIS method can be used to evaluate the quality of the origin herbs of Lonicerae Japonicae Flos. Based on the infrared spectral data fusion strategy and SVM chemometric model, it can accurately identify the origin herbs of Lonicerae Japonicae Flos, which can provide a new method for the origin identification of medicinal materials of Lonicerae Japonicae Flos.

Comparative polypharmacokinetics of nine anti-inflammatory components of Jinyinhua (Lonicerae Japonicae Flos) and Shanyinhua (Lonicerae Flos) in mice with p-xylene-induced ear edema

ObjectiveTo reveal the integral in vivo polypharmacokinetics (PPK) similarity or difference between Jinyinhua (Lonicerae Japonicae Flos, LJF) and Shanyinhua (Lonicerae Flos, LF), and provide reference for their clinical application. MethodsThe PPK model and its total quantum statistical moment similarity (TQSMS) method were used to compare the integral PPK profiles of nine components with anti-inflammatory efficacy (rutin, caffeic acid, chlorogenic acid, cryptochlorogenic acid, dispsacoside B, macranthoidin B, isochlorogenic acid A, isochlorogenic acid B, and isochlorogenic acid C) of LJF and LF. A total of 54 Specific Pathogen Free (SPF) grade Kunming (KM) mice were randomized into LJF group and LF group (n = 27), and each group was divided into nine subgroups (n = 3) according to different time points. Subsequently, mice model of p-xylene-induced ear edema was constructed by oral administration of LJF and LF. The concentrations of the nine anti-inflammatory components in plasma samples of the mice were determined by ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS/MS). And the pharmacokinetics (PK) parameters of single component and the integral PPK parameters [total quantum statistical moment (TQSM) and TQSMS] of multiple components were calculated by Drug And Statistics (DAS) software and home-brew programs with Excel, respectively. ResultsThere were significant differences in single-component PK parameters between LJF and LF (P < 0.05). Whereas, no significant differences were found in multi-component TQSM parameters, including total quantum zero moment (AUCT0-t, AUCT0-∞) and total quantum first moment (MRTT0-t, MRTT0-∞) for the total quanta (P > 0.05). Accordingly, single-component TQSMS varied from 0.220 4 to 0.968 9, and that for the total quanta was 0.828 4, suggesting no significant differences in the speed and extent of bioavailability between LJF and LF. Furthermore, in light of high TQSMS (0.828 4), the integral PPK profiles of the nine anti-inflammatory components of LJF and LF were similar under 90% confidence intervals. ConclusionThe PPK model and its TQSMS method are appropriate and efficient to compare the similarity or difference of integral PPK profiles of multi-component herbal medicines. It is suggested in this research that LJF can be replaced with LF or vice versa for anti-inflammatory treatment.

Analysis on SSR Loci in Transcriptome and Development of EST-SSR Molecular Markers in &lt;i&gt;Lonicera macranthoides&lt;/i&gt;

Huizhanmao-rendong ( Lonicera macranthoides ), as a species of original plant of&nbsp;wild honeysuckle flower ( Flos Lonicerae ), the traditional Chinese medicine, is widely distributed in South China and features high medicinal and economic value.&nbsp;In this study, the SSR loci of 74&nbsp;057 unigenes in the transcriptome of L . &nbsp;macranthoides &nbsp;were analyzed by MISA. Among them, 15&nbsp;587 unigenes contained 20&nbsp;161 SSR loci, and the frequency of SSR was 21.05%. The types of SSR sites in the transcriptome of L . &nbsp;macranthoides &nbsp;were distributed from single nucleotide to six nucleotide repeats. The main repeats were dinucleotide (9&nbsp;704) and trinucleotide (5&nbsp;847), accounting for 48.13&nbsp;% and 29.00&nbsp;% of the total SSRs, respectively. The main repeat units were AG/CT (6&nbsp;086), AT/AT (3&nbsp;071) and A/T (2&nbsp;826), accounting for 30.79%, 15.23%, and 14.02% of the total SSRs, respectively.&nbsp;There were 4&nbsp;897 and 3&nbsp;531 repeats (the numbers of repeats were the most) in 6 and 5 SSR loci, accounting for 24.29&nbsp;% and 17.51&nbsp;% of the total SSR number, respectively. By using primer 6.0 software, 17&nbsp;611 pairs of SSR primers were designed, and 30 pairs of primers were randomly selected for amplification verification. Among them, 14 pairs of amplified bands showed polymorphism, and then the genetic diversity of 6 varieties of L . &nbsp;macranthoides &nbsp;was analyzed by using these 14 pairs of primers.&nbsp;The results will provide a scientific basis for species identification, genetic diversity analysis, and molecular marker-assisted breeding of &nbsp;L . &nbsp;macranthoides .

Flos Lonicerae: A Review of Chemical Structures and Biological Activities of Phenolic Derivatives

Flos Lonicerae, a widely used Vietnamese medicinal material, is the dried buds or flowers of Lonicera japonica Thunb., and several other species of genus Lonicera such as Lonicera dasystyla Rehd., Lonicera confusa DC., Lonicera cambodiana Pierre ex Danguy, belonging to the family Caprifoliaceae. This material has been used for a long time in traditional medicine for clearing heat, removing toxins, and dispersing wind heat. According to a variety of recent phytochemistry and biological studies that we systematically summarized, Flos Lonicerae contains 129 phenolic derivatives including 48 flavonoids, 13 lignans and neolignans, 55 phenolic acid derivatives, and 13 other phenolic compounds. These phenolic compounds have remarkable biological effects such as antibacterial, antiviral, antioxidant, anti-inflammatory, anti-cancer, hepatoprotective, anti-endotoxin, anti-allergic, anti-diabetic, cardioprotective, anti-allergic activities, etc. In particular, chlorogenic acid, a prominent component with significant biological activities, is utilized as a marker compound to evaluate the quality of Flos Lonicerae in the Vietnamese and Chinese Pharmacopoeia.&#x0D; &#x0D; &#x0D;

Differences of flavor compounds in Lonicerae Japonicae Flos and Lonicerae Flos based on headspace gas chromatography-ion mobility spectroscopy

Lonicerae Japonicae Flos and Lonicerae Flos, as traditional Chinese medicinal and edible food, are widely used in medicine, food, health products, and other industries. However, there is no comprehensive study on the differences of flavor compounds in Lonicerae Japonicae Flos and Lonicerae Flos. This study applied headspace gas chromatography-ion mobility spectrometry(HS-GC-IMS) to analyze the differences of flavor compounds in Lonicerae Japonicae Flos and Lonicerae Flos. The differential biomarkers were confirmed by multivariate statistical analysis. The results showed that there were significant differences in the forty-seven flavor compounds in Lonicerae Japonicae Flos and Lonicerae Flos. The differential markers were ethyl acetate, propyl alcohol, 1-octanol, 1-hexanol, hexanal, and(Z)-2-hexen-1-ol. Pathway enrichment analysis showed that the above markers were involved in the biosynthesis of major secondary metabolism, sulfate metabolism pathways, and formation of other flavor compounds. This study provides important references for the evaluation of flavor compounds of Lonicerae Japonicae Flos and Lonicerae Flos and the development of medicinal and edible products.

Comparative Study on the Efficacy of Chlorogenic Acid and Penicillin Solution in Flos Lonicerae on Mice Infected with Hemolytic Streptococcus

Comparative Study on the Efficacy of Chlorogenic Acid and Penicillin Solution in Flos Lonicerae on Mice Infected with Hemolytic Streptococcus

금은화(金銀花)물추출물이 마우스 대식세포의 사이토카인 생성에 미치는 영향

Flos Lonicerae Japonicae (the flower buds of Lonicera japonica Thunberg) has been used as an antibacterial and antiviral drug in Korean Medicine. The aim of this study is to evaluate the effect of Flos Lonicerae Japonicae water extract (FL) on the production of cytokines in RAW 264.7 mouse macrophages stimulated by lipopolysaccharide (LPS). After 24 h treatment, the production of various cytokines from RAW 264.7 was measured with multiplex cytokine assay using Bio-Plex 200 suspension array system. FL at concentrations of 50, 100, and 200 μg/mL significantly inhibited productions of tumor necrosis factor-α, macrophage inflammatory protein (MIP)-1β, and MIP-2 in LPS-stimulated RAW 264.7 cells; FL at concentrations of 100 and 200 μg/mL significantly inhibited productions of leukemia inhibitory factor, LIX (CXCL5), and RANTES in LPS-stimulated RAW 264.7 cells; FL at concentrations of 200 μg/mL significantly inhibited productions of granulocyte-macrophage colony-stimulating factor and macrophage colony-stimulating factor in LPS-stimulated RAW 264.7 cells; FL at concentrations of 50 and 100 μg/mL significantly increased productions of interleukin (IL)-10 in LPS-stimulated RAW 264.7 cells; FL at concentrations of 50, 100, and 200 μg/mL significantly increased productions of IL-6 and interferon gamma-induced protein-10 in LPS-stimulated RAW 264.7 cells; FL at concentrations of 100 and 200 μg/mL significantly increased productions of monocyte chemoattractant protein-1 in LPS-stimulated RAW 264.7 cells. Taken together, these data mean that FL might modulate productions of cytokines, chemokines, and growth factor in LPS-stimulated macrophages. Further study needs to verify the exact mechanism for modulatory activities of FL with macrophages.

Genetic variations and interspesific relationships in Lonicera L. (Caprifoliaceae), using SCoT molecular markers

Lonicera L. (Caprifoliaceae) includes more than 200 species worldwide. The genus is mainly distributed in temperate to subtropical regions of the northern hemisphere: Europe, Russia, East Asia and North America. Some species are medicinal plants. Dried Lonicera flowers and buds are known as Flos Lonicera and have been a recognized herb in the traditional Chinese medicine for more than 1500 years. It has been applied for treatment of arthritis, diabetes mellitus, fever, and viral infections. Due to the importance of these plant species, we performed a combination of morphological and molecular data for this species. For this study, we used 85 randomly collected plants from six species in 6 provinces. Amplification of genomic DNA using 10 primers produced 103 bands, of which 95 were polymorphic (90.98%). The obtained high average PIC and MI values revealed high capacity of SCoT primers to detect polymorphic loci among Lonicera species. The genetic similarities of 6 collections were estimated from 0.67 to 0.90. According to the SCoT markers analysis, L. hypoleuca and L. iberica had the lowest similarity and the species of L. korolkowii and L. nummulariifolia had the highest similarity. The aims of present study are: 1) can SCoT markers identify Lonicera species, 2) what is the genetic structure of these taxa in Iran, and 3) to investigate the species inter-relationship? The present study revealed that SCoT markers can identify the species.