Rhizoma Atractylodis Research Articles

Rules of medication for leucorrhea in ancient books of traditional Chinese medicine based on latent structure model and association rules

Objective: To analyze syndrome differentiation and medication rules for leucorrhea in ancient books of traditional Chinese medicine (TCM) based on the “Chinese Medical Code” using the latent structure model. Methods: The formulations for leucorrhea were searched in the Chinese Medical Code (software), based on which an Excel sheet was created to conduct frequency analysis and construct a matrix of high-frequency medications. The high-frequency medications for leucorrhea were then analyzed using the Latent 5.0 software and a latent structure model. With SPSS Modeler and Latent 5.0 as the main analysis methods, Chinese medications with a frequency >1.00% were investigated using the latent structure model and association rules, and the medication rules in treating leucorrhea with TCM were dissected based on the data of frequency. Results: For 373 kinds of Chinese medicines retrieved from 236 TCM prescriptions, the total medication frequency was 2522. Chinese Angelica (Angelicae Sinensis Radix), White Peony Root (Paeoniae Radix Alba), Indian Buead Tuckahoe (Poria), Common Oyster Shell (Ostreae Concha), and Largehead Atractylodes Rhizome (Atractylodis Macrocephalae Rhizoma) were high-frequency medicines for leucorrhea. Tonic, heat-clearing, and qi-regulating medicines had a high frequency of usage. According to a formula-based analysis of the evidence, the main syndromes of leucorrhea included liver qi affecting the spleen pattern, damp heat accumulation pattern, liver qi stagnation pattern, liver-stomach disharmony pattern, yin deficiency of the liver and kidney pattern, and spleen deficiency with dampness pattern, which are generally in line with the etiology and pathogenesis of leucorrhea, namely pathogenic dampness as the detrimental factor together with spleen-kidney dysfunction. However, in ancient books, emphasis was laid out on the regulation of the liver. This study determined 31 association rules for treating leucorrhea, where the primary compatible medicines contained Chinese Angelica (Angelicae Sinensis Radix)-Nutgrass Galingale Rhizome (Cyperus rotundus), Chinese Angelica (Angelicae Sinensis Radix)-Szechwan Lovage Rhizome (Ligusticum chuanxiong Hort.), White Peony Root (Paeoniae Radix Alba)-Szechwan Lovage Rhizome (Ligusticum chuanxiong Hort.), White Peony Root (Paeoniae Radix Alba)-Adhesive Rehmannia Root Tuber (Rehmanniae Radix) and Tangerine Peel (Citri Reticulatae Pericarpium)-Ternate Pinellia (Rhizoma Pinelliae). Conclusion: The medication rules targeting leucorrhea in the Chinese Medical Code were mainly represented by the regulation of qi and blood, as well as the 3 internal organs—the kidney, spleen, and liver.

Enhancement of Rhizoma Atractylodis Quality, Soil Nutrients, and Microbial Characters of Vermicompost Preparations from Spent Mushroom and Cow Dung

Enhancement of Rhizoma Atractylodis Quality, Soil Nutrients, and Microbial Characters of Vermicompost Preparations from Spent Mushroom and Cow Dung

Atractylodin targeted visual fluorescence sensor based on N-acetyl-L-cysteine capped CdTe QDs for the rapid identification of the geographical origin of Atractylodis Rhizome

The economic and medicinal value of Atractylodis Rhizoma (AR) is intricately tied to its geographical origin and mainly depends on the atractylodin (IUPAC Name: 2-[(1E,7E)-nona-1,7-dien-3,5-diynyl]furan) content in it. In this study, a green fluorescent sensor using N-acetyl-L-cysteine (NAC, IUPAC Name: (2R)-2-acetamido-3-sulfanylpropanoic acid)-capped CdTe quantum dots (QDs) was developed for the detection of AR origin discrimination. Both electron transfer and internal filtration effects was introduced into sensor to improve the sensitivity and selectivity. The sensors can achieve visual quantitative analysis of atractylodin using the partial least squares regression (PLSR) model. This model with a detection limit of 0.321 µg /mL and the quantification range of 0.002–0.030 mg /mL. Furthermore, the visual sensor also could be applied to the quantification of atractylodin in the actual AR samples with recoveries as high as 95.36 % to 105 %. Their sensor was also able to identify different origin of AR with an accuracy of 100 % for the training set and 95.29 % for the prediction set using the partial least squares discriminant analysis (PLSDA) model. The method offers direction for verifying the authenticity of traditional Chinese medicine and precise analysis of intended constituents in complex systems.

Discrimination and screening of volatile metabolites in atractylodis rhizoma from different varieties using headspace solid-phase microextraction-gas chromatography-mass spectrometry and headspace gas chromatography-ion mobility spectrometry, and ultra-fast gas chromatography electronic nose

Atractylodis rhizoma is a common bulk medicinal material with multiple species. Although different varieties of atractylodis rhizoma exhibit variations in their chemical constituents and pharmacological activities, they have not been adequately distinguished due to their similar morphological features. Hence, the purpose of this research is to analyze and characterize the volatile organic compounds (VOCs) in samples of atractylodis rhizoma using multiple techniques and to identify the key differential VOCs among different varieties of atractylodis rhizoma for effective discrimination. The identification of VOCs was carried out using headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC–MS) and headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS), resulting in the identification of 60 and 53 VOCs, respectively. The orthogonal partial least squares discriminant analysis (OPLS-DA) model was employed to screen potential biomarkers and based on the variable importance in projection (VIP ≥ 1.2), 24 VOCs were identified as critical differential compounds. Random forest (RF), K-nearest neighbor (KNN) and back propagation neural network based on genetic algorithm (GA-BPNN) models based on potential volatile markers realized the greater than 90 % discriminant accuracies, which indicates that the obtained key differential VOCs are reliable. At the same time, the aroma characteristics of atractylodis rhizoma were also analyzed by ultra-fast gas chromatography electronic nose (Ultra-fast GC E-nose). This study indicated that the integration of HS-SPME-GC–MS, HS-GC-IMS and ultra-fast GC E-nose with chemometrics can comprehensively reflect the differences of VOCs in atractylodis rhizoma samples from different varieties, which will be a prospective tool for variety discrimination of atractylodis rhizoma.

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.

Fast Discrimination and Quantification Analysis of Atractylodis rhizoma Using NIR Spectroscopy Coupled with Chemometrics Tools.

In this study, near-infrared (NIR) spectroscopy and high-performance liquid chromatography (HPLC) combined with chemometrics tools were applied for quick discrimination and quantitative analysis of different varieties and origins of Atractylodis rhizoma samples. Based on NIR data, orthogonal partial least squares discriminant analysis (OPLS-DA) and K-nearest neighbor (KNN) models achieved greater than 90% discriminant accuracy of the three species and two origins of Atractylodis rhizoma. Moreover, the contents of three active ingredients (atractyloxin, atractylone, and β-eudesmol) in Atractylodis rhizoma were simultaneously determined by HPLC. There are significant differences in the content of the three components in the samples of Atractylodis rhizoma from different varieties and origins. Then, partial least squares regression (PLSR) models for the prediction of atractyloxin, atractylone, and β-eudesmol content were successfully established. The complete Atractylodis rhizoma spectra gave rise to good predictions of atractyloxin, atractylone, and β-eudesmol content with R2 values of 0.9642, 0.9588, and 0.9812, respectively. Based on the results of this present research, it can be concluded that NIR is a great nondestructive alternative to be applied as a rapid classification system by the drug industry.

Out-of-set association analysis of lung cancer drugs and symptoms based on clinical case data mining.

There are 1.8 million lung cancer deaths worldwide, accounting for 18% of global cancer deaths, including 710,000 in China, accounting for 23.8% of all cancer deaths in China. To explore the out-of-set association rules of lung cancer symptoms and drugs through text mining of traditional Chinese medicine (TCM) treatment of lung cancer, and form medical case analysis to analyze the experience of TCM syndrome differentiation in its treatment. The medical records of all patients diagnosed with lung cancer in Nanjing Chest Hospital from January to December 2018 were collected, and the out-of-set association analysis was performed using the MedCase v5.2 TCM clinical scientific research auxiliary platform based on the frequent pattern growth enhanced association analysis algorithm. In terms of TCM treatment of lung cancer, the clinical symptoms with high correlation included cough, expectoration, chest distress, and white phlegm; and the drugs with high correlation included Pinellia ternata, licorice root, white Atractylodes rhizome, and Radix Ophiopogonis; with the prescriptions based on Erchen and Maimendong decoctions. This analytical study of the medical cases of TCM treatment for lung cancer was performed using data mining techniques, and the out-of-set association rules between clinical symptoms and drugs were analyzed, including the understanding of lung cancer in TCM. Moreover, the essence of experience in drug use was gathered, providing significant scientific guidance for the clinical treatment of lung cancer.

REVIEW OF THE PHYTOTHERAPY FOR NEPHROLITHIASIS

Nephrolithiasis (kidney stone) cases have a prevalence ranging from 1% to 13%. The disease not only hampers kidney function but also elevates the risk of chronic kidney diseases. The pathophysiology of nephrolithiasis is closely linked to elevated concentrations of calcium, oxalate, and/or uric acid in the urine. Pharmacotherapy to manage nephrolithiasis includes thiazide diuretics, allopurinol, citrate supplements, and alpha-blockers that have been prescribed to relieve symptoms. In addition, there is growing interest in exploring the potential of phytotherapy. This review aims to identify suitable phytotherapy approaches by examining relevant articles on nephrolithiasis. The research methodology involved searching PubMed articles using the keywords of (("Plant Extracts") AND ("Nephrolithiasis")) OR ("Ureterolithiasis"). The articles obtained from the initial search were n =123. 2 authors screened articles for their eligibility. The inclusion criteria were limited to articles written in English, topics related to nephrolithiasis and not other kidney diseases, the botanical names of the plants and the method of extraction are clearly described, complete studies with clear descriptions regarding the methods and results, not synthetic drugs, and not involving medical instruments or laser to remove the stones. Articles included in the review were n = 17. Water and hydro-alcohol were the solvents used to extract the plants. Twenty-two plants have confirmed their anti-nephrolithiasis activity, and nine articles described the assay by in vivo study, two by in vitro study, three by both in vitro and in vivo study, and only one article mentioned a study in humans by a randomized-control trial on a mixture of herbs. It is concluded that Rhizoma alismatis, Poria cocos, Polyporus umbellatus, Atractylodis macrocephalae, and Cinnamomi Cassiae prepared as a mixture in the Wu-Ling-San formula have a potential therapeutic effect on nephrolithiasis, as this formula has been studied in humans.

Contamination and health risk of pesticides in eight popular Chinese traditional medicines from Zhejiang Province.

Zhejiang Province is one of the top five major provinces producing traditional Chinese medicines (TCMs) and is famous for Zhebawei (in Chinese), the eight popular geo-authentic TCMs including Rhizoma Atractylodis Macrocephalae, Radix Paeoniae Alba, Thunberg Fritillary Bulb, Chrysanthemum morifolium, Corydalis yanhusuo W. T. Wang, Scrophulariae Radix, Ophiopogonis Radix, and Curcuma Wenyujin Y. H. Chen et C. Ling. High proportion application and residue of pesticides directly affect the quality and yield of TCMs. In this study, pesticides residual levels in crude and processing samples were assessed along with their health risks in Zhebawei primarily produced in Zhejiang Province. In total, the exceeded ratios of pesticides residual concentrations in above mentioned eight species were 15/23, 4/7, 26/70, 22/44, 10/19, 8/12, 7/15, and 0/2, respectively. No acute dietary intake health risks were found but the long-term risks from permethrin in S. Radix should be carefully considered, with all quotient values being higher than 2.1 for all groups between 7 and 70 years. Furthermore, the risks of total benzene hexachloride in T. Fritillary Bulb and carbendazim in C. morifolium should be closely monitored. Suggestions for the cultivation and pesticide management of herbal medicines have been proposed to promote the quality of medicinal materials.

Using HS-GC-MS and flash GC e-nose in combination with chemometric analysis and machine learning algorithms to identify the varieties, geographical origins and production modes of Atractylodes lancea

Atractylodes lancea (AL) is argued to be the best botanical source of the atractylodes rhizome (AR), which is used within traditional Chinese medicine. However, in recent years there have been a number of issues around the production and use of AR, including authenticity, confusion, and mislabeling between AL and Atractylodes chinensis (AC) isolates, geographical origins, and production modes. These discrepancies can impact both the quality and commercial value of the crop. In this study, volatile organic compounds from 173 batches of AR isolated from both AL and AC plants were compared using a flash gas chromatography electronic nose (flash GC e-nose) and headspace gas chromatography–mass spectrometry (HS-GC-MS). The flash GC e-nose revealed that the main aromas of AR were spicy, sweety, and fruity, and the flavor differences of Atractylodes lancea from different geographical origins are mainly reflected in sweetness and spicy taste. Furthermore, HS-GC-MS showed that terpenoids are key indicators for determining the quality and further clarifying the origin of AL. Eight terpenoids including 2-pinen-10-ol and β-elemene were higher in abundance in AL than AC; seven terpenoids including α-curcumene and α-pinene were higher in abundance in wild AL than cultivated AL; and there were significantly different quantities of ten terpenoids including agarospirol and β-bisabolene present in samples of AL taken from Jiangsu, Henan and Hubei provinces. Finally, the performance of eight machine-learning algorithms to distinguish between AL and AC, and recognize different regions and production patterns of AL, were compared. Among them, XGBoost had the highest differentiation accuracy of 86.17 ± 7.48%. This study provides a rapid and accurate strategy for addressing quality control and market regulation issues for AL and other industrial crops.

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.

Dual-channel colorimetric sensor based on metal ion mediated color transformation of AuNPs to identify the authenticity and origin of Atractylodis Macrocephalae Rhizoma

Atractylodis Macrocephalae Rhizoma (AMR) is a bulk herbal foods, which can invigorate spleen and supplement Qi to help health. The accurate identification of the authenticity and origin of AMR is a prerequisite for the safe use and quality control. Herein, a dual-channel colorimetric sensor based on metal ions mediated color transformation of gold nanoparticles (AuNPs) was constructed to identify the authenticity and origin of AMR. The Ag+ / cetyltrimethylammonium chloride modified AuNPs (CTAC-AuNPs) sensing channel and Cr3+ / trisodium citrate modified AuNPs (TCA-AuNPs) sensing channel were rationally designed based on two mechanisms that are the silver deposition and the induced aggregation, respectively. When AMR extracts from different origins or its counterfeits were added to the colorimetric sensor, significantly different terpenoids in extracts can bind to Ag+ or Cr3+ to produce different color transformations. AMR samples from three origins (Zhejiang, Hunan and Anhui) and the counterfeit samples (Gynura japonica (Thunb.) Juel., and Atractylodis Rhizoma) were all accurately classified using the dual-channel colorimetric sensor combined with PLSDA. Our sensor has obvious advantages of simple and instrument-free analysis procedure, which will provide a new idea for the convenient identification of AMR and other herbal foods.

In vitro and in vivo antibacterial studies of volatile oil from Atractylodis Rhizoma against Staphylococcus pseudintermedius and multidrug resistant Staphylococcus pseudintermedius strains from canine pyoderma

Ethnopharmacological relevanceAtractylodis Rhizoma is extensively employed in Traditional Chinese Medicine for the treatment of skin and gastrointestinal ailments. Its active components have been proven to demonstrate numerous beneficial properties, including antibacterial, antiviral, anti-inflammatory, anti-tumor, and anti-ulcer activities. Furthermore, the volatile oil from Atractylodis Rhizoma (VOAR) has been reported to effectively inhibit and eradicate pathogens such as Staphylococcus aureus, Escherichia coli and Candida albicans. Of particular concern is Staphylococcus pseudintermedius, the predominant pathogen responsible for canine pyoderma, whose increasing antimicrobial resistance poses a serious public health threat. VOAR merits further investigation regarding its antibacterial potential against Staphylococcus pseudintermedius. Aim of the studyThe study aims to verify the in vitro antibacterial activity of VOAR against Staphylococcus pseudintermedius. And a superficial skin infection model in mice was established to assess the in vivo therapeutic effect of VOAR. Materials and methodsThirty strains of S. pseudintermedius were isolated from dogs with pyoderma, and the drug resistance was analyzed by disc diffusion method. The Minimum Inhibitory Concentration (MIC) and Minimum Bactericidal Concentration (MBC) of VOAR were determined through the broth dilution method. The growth curve of bacteria in a culture medium containing VOAR was monitored using a UV spectrophotometer. Scanning electron microscopy was employed to observe the effects of VOAR on the microstructure of S. pseudintermedius. The impact of VOAR on the antibiotic resistance of S. pseudintermedius was assessed using the disc diffusion method. Twenty mice were randomly divided into four groups: the control group, the physiological saline group, the VOAR group, and the amikacin group. With the exception of the control group, the skin barrier of mice was disrupted by tap stripping, and the mice were subsequently inoculated with S. pseudintermedius to establish a superficial skin infection model. The modeled mice were treated with normal saline, VOAR, and amikacin for 5 days. Following the treatment period, the therapeutic effect of each group was evaluated based on the measures of body weight, skin symptoms, tissue bacterial load, tissue IL-6 content, and histopathological changes. ResultsThe MIC and MBC of VOAR against 30 clinical isolates of S. pseudintermedius were found to be 0.005425% and 0.016875%, respectively. VOAR could exhibit the ability to delay the entry of bacteria into the logarithmic growth phase, disrupt the bacterial structure, and enhance the antibacterial zone in conjunction with antibiotic drugs. In the superficial skin infection model mice, VOAR significantly reduced the scores for skin redness (P < 0.0001), scab formation (P < 0.0001), and wrinkles (P < 0.0001). Moreover, VOAR markedly reduced the bacterial load (P < 0.001) and IL-6 content (P < 0.0001) in the skin tissues of mice. Histopathological observations revealed that the full-layer skin structure in the VOAR group was more complete, with clearer skin layers, and showed significant improvement in inflammatory cell infiltration and fibroblast proliferation compared to other groups. ConclusionThe results demonstrate that VOAR effectively inhibits and eradicates Staphylococcus pseudintermedius in vitro while also enhancing the pathogen's sensitivity to antibiotics. Moreover, VOAR exhibits a pronounced therapeutic effect in the superficial skin infection model mice.

Baizhu-Baishao herb pair ameliorates functional constipation and intestinal microflora disorder in rats.

In China, Rhizoma atractylodis macrocephalae-Paeonia lactiflora Pall (Biazhu-Baishao, BZBS) is a classic herb pair used to treat intestinal stress syndrome, ulcerative colitis and other diseases. However, the mechanism of BZBS in the treatment of functional constipation (FC) has been little studied and remains unclear. In this study, a behavioral investigation, colon tissue morphology, enzyme-linked immunosorbent assay (Elisa) and intestinal microflora analysis have been used to illuminate the potential mechanism of the effects of BZBS on FC in a rat model. A FC rat model was constructed and BZBS was given as treatment. Observations and recordings were made of the fecal moisture content, the defecation time of the first black stool, and the rate of intestinal propulsion. Elisa was used to detect the expression levels of substance P (SP), vasoactive intestinal peptide (VIP), 5-hydroxytryptamine (5-HT) in the colon. To ascertain the composition of the microbial community, a high throughput 16S ribosomal RNA (16S rRNA) gene sequencing technique was employed. Oral administration of BZBS significantly ameliorated several key excretion parameters, including the time to first black stool defecation, stool water content, and the propulsion rate in the small intestine in FC rats. It increased the expression of SP, VIP and 5-HT in the colon. 16S rRNA gene sequencing results showed that BZBS changed the microbial community structure, decreased the Bacteroidetes/Firmicutes ratio, increased the relative abundance of Blautia and Fusicatenibacter, and decreased the relative abundance of Ruminococcus and Roseburia. BZBS effectively alleviates FC and improves dysbacteriosis.

Fuling-Zexie formula attenuates hyperuricemia-induced nephropathy and inhibits JAK2/STAT3 signaling and NLRP3 inflammasome activation in mice

Ethnopharmacological relevanceFuling-Zexie (FZ) formula, a traditional Chinese herbal prescription composed of Poria cocos (Schwan.) Wolf. (Poria), Pueraria lobate (Willd.) Howe. (Puerariae Lobatae Radix), Alisma orientale (Sam.) Julep. (Alismatis Rhizoma), and Atractylodes lancea (Thunb.) Dc. (Atractylodis Rhizoma), has been clinically used to ameliorate hyperuricemia (HUA) and its associated renal injury. Aim of studyThis study aims to explore the action and mechanism of FZ on renal inflammation and dysfunction caused by HUA. Materials and methodsFZ was orally administered to rapid HUA mouse induced by potassium oxonate (PO) and hypoxanthine (HX) for 7 days. Serum levels of uric acid (UA), creatinine (CRE), blood urea nitrogen (BUN), xanthine oxidase (XOD), adenosine deaminase (ADA), alanine aminotransferase (ALT), aspartate aminotransferase (AST), urine levels of UA, CRE and urinary albumin were determined by biochemical assays. Serum levels of interleukin (IL)-1β and IL-6 were tested by ELISA. Hematoxylin-eosin and Masson staining were used to examine kidney and liver histopathological alterations. The expressions of renal glucose transporter 9 (GLUT9), ATP-binding cassette subfamily G member 2 (ABCG2), organic anion transporter 1 (OAT1), phospho-janus kinase 2 (p-JAK2), p-signal transducer and activator of transcription 3 (p-STAT3), suppression of cytokine signaling 3 (SOCS3), NLR family pyrin domain containing 3 (NLRP3), apoptosis-associated speck-like protein (ASC), and cleaved-cysteinyl aspartate specific proteinase-1 (cleaved-Cas-1) were detected by western blots. The potential protein targets and pathways of FZ intervention on HUA were predicted by network pharmacology. The constituents in FZ aqueous extract were analyzed by UPLC-MS. ResultsFZ reduced serum UA, CRE, BUN, and urinary albumin and increased urine UA, CRE levels in HUA mice. In addition, the treatment with FZ to HUA mice inhibited the elevated serum levels of XOD and ADA, and regulated renal urate transports including OAT1, GLUT9 and ABCG2. FZ also attenuated kidney inflammation and fibrosis and downregulated the expressions of IL-1β, p-JAK2, p-STAT3, SOCS3, IL-6, NLRP3, ASC, and cleaved-Cas-1. Thirteen compounds were identified in the FG, including L-phenylalanine, D-tryptophan, 3′-hydroxypuerarin, Puerarin, 3′-Methoxy Puerarin, Daidzin, Pueroside A, formononetin-8-C- [xylosyl (1→6)]-glucoside, Ononin, Alisol I 23-acetate, 16-oxo-alisol A, Alisol C and Alisol A. ConclusionFZ inhibits serum UA generation and promotes urine UA excretion as well as attenuates kidney inflammation and fibrosis in HUA mouse with nephropathy. The underlying mechanism of its action may be associated with suppression of the JAK2/STAT3 signaling pathway and NLRP3 inflammasome activation. This formula may offer a novel source for developing anti-HUA drugs.

Atractylodes-I Overcomes the Oxidative Stress-induced Colonic Mucosal Epithelial Cells Dysfunction to Prevent Irritable Bowel Syndrome Via Modulating the miR-34a-5p-LDHA Signaling Pathway.

Irritable bowel syndrome (IBS) is a known brain-gut disorder. Currently, the molecular and cellular mechanisms of IBS remain unclear. Atractylenolide-I (ATL-I) is a majorly bioactive component extracted from Rhizoma Atractylodes Macrocephalae. Studies have revealed that ATL-I functioned as an anti-tumor drug in various cancers. However, the effects and molecular mechanisms of ATL-I on the pathological processes of colonic mucosal epithelial cells (CMECs) during IBS remain unclear. This study reports ATL-I effectively alleviated the oxidative stress-induced colonic mucosal epithelial cell dysfunction. In colonic mucosal tissues from IBS patients, we detected upregulated miR-34a-5p and suppressed glucose metabolism enzyme expressions. Under H2O2 treatment which mimics in vitro oxidative stress, miR-34a-5p was induced and glucose metabolism was inhibited in the colon mucosal epithelial cell line, NCM460. Meanwhile, ATL-I treatment effectively overcame the oxidative stress-induced miR-34a- 5p expression and glucose metabolism in NCM460 cells. By bioinformatics analysis, Western blot and luciferase assay, we illustrated that miR-34a-5p directly targeted the 3'UTR region of glucose metabolism key enzyme, lactate dehydrogenase-A (LDHA) in colonic mucosal epithelial cells. Rescue experiments validated that miR-34a-5p inhibited glucose metabolism by targeting LDHA. Finally, we demonstrated that ATL-I treatment reversed the miR-34a-5p-inhibited glucose metabolism and -exacerbated colonic mucosal epithelial cell dysfunction under oxidative stress by modulating the miR-34a-5p-LDHA pathway. Summarily, our study reports the roles and mechanisms of ATL-I in the oxidative stress-induced colonic mucosal epithelial cell dysfunction during IBS through regulating the miR-34a-5p-LDHA-glucose metabolism axis.

Scoping review of clinical studies on Chinese herbal medicine against Helicobacter pylori and an exploration of its usage pattern

Helicobacter pylori (H. pylori) is a highly infectious bacterium that can aggravate upper gastrointestinal diseases. With the increasingly serious problem of H. pylori drug resistance, it is more important to seek new treatment methods. In recent years, there has been an increasing number of studies on the treatment of H. pylori infection and related diseases with Chinese herbal medicine (CHM). The effectiveness of CHM has also emerged. Therefore, the aim of this scoping review was to systematically identify and summarize the characteristics of randomized controlled trails (RCTs) evaluating CHM for treating H. pylori infection. Three Chinese and two English language databases were comprehensively searched. Included studies were RCTs of H. pylori-positive patients evaluating oral CHM with or without Western Medicine (WM) compared to WM alone. A descriptive analysis of study characteristics and association rule mining in R Studio software were used to identify frequent herbal combinations. The Cochrane Collaboration Risk of Bias tool was used to assess study quality. Included were 165 RCTs, with 168 comparisons, involving 16,817 participants. All the RCTs were conducted in China and 68% were published after 2012. The quality of included studies was moderate. The RCTs evaluated 187 herbs that were used in various combinations in 91 types of CHM formulas. Most RCTs compared CHM plus WM to WM only (n=103 comparisons). Only 68% of the RCTs evaluated a recommended WM triple or quadruple therapy. Results showed that Banxia Xiexin Decoction, Huangqi Jianzhong Decoction, Huanglian Wendan Decoction and Jinghua Weikang Capsule were commonly used. The association rules showed that golden thread (Coptis chinensis Franch.), debark peony root (Paeonia lactiflora Pall.), milkvetch root (Astragalus mongholicus Bunge), dandelion (Taraxacum mongolicum Hand.-Mazz.), dried tangerine peel (Citrus reticulata Blanco), tangshen (Codonopsis pilosula (Franch.) Nannf.), largehead atractylodes rhizome (Atractylodes macrocephala Koidz.), processing liquorice root (Glycyrrhiza glabra L.), pinellia tuber (Pinellia ternata (Thunb.) Makino) were commonly used clinically. The findings from this review highlight the potential role of CHM formulas for treating H. Pylori and can be used to inform further clinical trials and systematic reviews.

Could Natural Products Help in the Control of Obesity? Current Insights and Future Perspectives.

Obesity is a global issue faced by many individuals worldwide. However, no drug has a pronounced effect with few side effects. Green tea, a well-known natural product, shows preventive effects against obesity by decreasing lipogenesis and increasing fat oxidation and antioxidant capacity. In contrast, other natural products are known to contribute to obesity. Relevant articles published on the therapeutic effect of natural products on obesity were retrieved from PubMed, Web of Science, and Scopus. The search was conducted by entering keywords such as "obesity", "natural product", and "clinical trial". The natural products were classified as single compounds, foods, teas, fruits, herbal medicines-single extract, herbal medicines-decoction, and herbal medicines-external preparation. Then, the mechanisms of these medicines were organized into lipid metabolism, anti-inflammation, antioxidation, appetite loss, and thermogenesis. This review aimed to assess the efficacy and mechanisms of effective natural products in managing obesity. Several clinical studies reported that natural products showed antiobesity effects, including Coffea arabica (coffee), Camellia sinensis (green tea), Caulerpa racemosa (green algae), Allium sativum (garlic), combined Ephedra intermedia Schrenk, Thea sinensis L., and Atractylodes lancea DC extract (known as Gambisan), Ephedra sinica Stapf, Angelica Gigantis Radix, Atractylodis Rhizoma Alba, Coicis semen, Cinnamomi cortex, Paeoniae radix alba, and Glycyrrhiza uralensis (known as Euiiyin-tang formula). Further studies are expected to refine the pharmacological effects of natural products for clinical use.

Rhizoma Atractylodis Macrocephalae-Assessing the influence of herbal processing methods and improved effects on functional dyspepsia.

Background: The unique pharmaceutical methods for the processing of botanical drugs according to the theory of traditional Chinese medicine (TCM) affect clinical syndrome differentiation and treatment. The objective of this study was to comprehensively elucidate the principles and mechanisms of an herbal processing method by investigating the alterations in the metabolites of Rhizoma Atractylodis Macrocephalae (AMR) processed by Aurantii Fructus Immaturus (AFI) decoction and to determine how these changes enhance the efficacy of aqueous extracts in treating functional dyspepsia (FD). Methods: A qualitative analysis of AMR before and after processing was conducted using UPLC-Q-TOF-MS/MS, and HPLC was employed for quantitative analysis. A predictive analysis was then conducted using a network analysis strategy to establish a botanical drug-metabolite-target-disease (BMTD) network and a protein-protein interaction (PPI) network, and the predictions were validated using an FD rat model. Results: A total of 127 metabolites were identified in the processed AMR (PAMR), and substantial changes were observed in 8 metabolites of PAMR after processing, as revealed by the quantitative analysis. The enhanced aqueous extracts of processed AMR (PAMR) demonstrate improved efficacy in treating FD, which indicates that this processing method enhances the anti-inflammatory properties and promotes gastric motility by modulating DRD2, SCF, and c-kit. However, this enhancement comes at the cost of attenuating the regulation of motilin (MTL), gastrin (GAS), acetylcholine (Ach), and acetylcholinesterase (AchE). Conclusion: Through this series of investigations, we aimed to unravel the factors influencing the efficacy of this herbal formulation in improving FD in clinical settings.

Rapid Prediction of Adulteration Content in Atractylodis rhizoma Based on Data and Image Features Fusions from Near-Infrared Spectroscopy and Hyperspectral Imaging Techniques.

Atractylodis rhizoma (AR) is an herb and food source with great economic, medicinal, and ecological value. Atractylodes chinensis (DC.) Koidz. (AC) and Atractylodes lancea (Thunb.) DC. (AL) are its two botanical sources. The commercial fraud of AR adulterated with Atractylodes japonica Koidz. ex Kitam (AJ) frequently occurs in pursuit of higher profit. To quickly determine the content of adulteration in AC and AL powder, two spectroscopic techniques, near-infrared spectroscopy (NIRS) and hyperspectral imaging (HSI), were introduced. The partial least squares regression (PLSR) algorithm was selected for predictive modeling of AR adulteration levels. Preprocessing and feature variable extraction were used to optimize the prediction model. Then data and image feature fusions were developed to obtain the best predictive model. The results showed that if only single-spectral techniques were considered, NIRS was more suitable for both tasks than HSI techniques. In addition, by comparing the models built after the data fusion of NIRS and HSI with those built by the single spectrum, we found that the mid-level fusion strategy obtained the best models in both tasks. On this basis, combined with the color-texture features, the prediction ability of the model was further optimized. Among them, for the adulteration level prediction task of AC, the best strategy was combining MLF data (at CARS level) and color-texture features (C-TF), at which time the R2T, RMSET, R2P, and RMSEP were 99.85%, 1.25%, 98.61%, and 5.06%, respectively. For AL, the best approach was combining MLF data (at SPA level) and C-TF, with the highest R2T (99.92%) and R2P (99.00%), as well as the lowest RMSET (1.16%) and RMSEP (2.16%). Therefore, combining data and image features from NIRS and HSI is a potential strategy to predict the adulteration content quickly, non-destructively, and accurately.