Stable isotope tracer metabolomics tracks and analyzes the whole metabolic process of the body through the tracer atoms, which belongs to the frontier technology in the field of biomedicine. This technology is of great significance and value for explaining the pathogenesis of diseases, finding biomarkers of diseases and drug action targets. Taking the mechanism of glucose catabolism disorder in depression as an example, this paper systematically expounds the stable isotope tracer metabolomics technology and its application. The research idea of stable isotope tracer metabolomics based on unmarked metabolomics was put forward, and the research strategy of biological significance interpretation from four dimensions of metabolite isotope abundance, key metabolic enzymes, metabolic flow direction and metabolite flow was given, which broke through the bottleneck of stable isotope tracer metabolomics research technology based on overall animal experiment, and provided scientific basis for the promotion and application of this technology.

Depression is a common emotional disorder that seriously affects people's life and health all over the world. The pathogenesis of depression is complex, and traditional Chinese medicine (TCM) for antidepressants has a good therapeutic effect because of its multi-component, multi-pathway, and multi-target action mode. At present, the anti-depressive mechanism of TCM has not been fully clarified, but it is clear that depression is closely related to metabolic health. Therefore, in order to further explore the anti-depressive mechanism of TCM, this paper proposes research strategies on the anti-depressive mechanism of TCM based on functional metabolomics from the perspective of metabolism, the potential biomarkers of depression are analyzed with the help of multi-omics combined analysis technology, and the functional molecules of TCM for antidepressant are studied. Molecular biology techniques are used to accurately capture the molecular interactions between biomarkers of depression and functional compounds, which identify effective drug targets and further elucidate the biochemical functions and related mechanisms involved in depression metabolic disorders. This paper systematically reviews the research strategies and applications of functional metabolomics in the anti-depressive mechanisms of TCM, expounds on the core value of functional metabolomics, and summarizes the current research status and hot issues of TCM for antidepressants in recent years, providing new methods and new ideas for the study of mechanisms of TCM with the help of functional metabolomics.

The pharmacodynamic substance of traditional Chinese medicine (TCM) is an important basis for its mechanism and quality control, and also a key scientific issue for the inheritance and development of TCM. However, the complex characteristics of multi-component, multi-target and integrity of TCM, as well as the limitations of modern scientific research technical methods, have brought great challenges to the research. The interactions between Chinese medicine and intestinal flora provide us with a new idea. Based on the effective role of TCM and the hypothesis of correlation between intestinal flora and disease, the research on the material basis and mechanism of action of TCM based on intestinal metabolomics mostly explored the relationship between microflora and host phenotype, gradually deepening, and finally focused on the relationship between intestinal strains and molecular levels. This paper summarized the research ideas and key technologies of this model, in order to provide reference for the application of this model.

The objective of this work was to evaluate the anti-fatigue efficacy of Astragali Radix (AR) from the Shanxi Hengshan area and to reveal possible mechanisms by which it relieves fatigue. Efficacy differences between Guangling (GL) and Hunyuan (HY) AR preparations were compared and evaluated, and an ¹H NMR metabolomic technique combined with statistical methods was used to identify the metabolites in different groups of mouse gastrocnemius muscle tissues. The differential metabolites after AR treatments were identified according to VIP and P values and the upstream targets were predicted with the help of Metscape. Cytoscape software was utilized to construct a network map of AR potential anti-fatigue targets. Key differential metabolites were identified based on shared targets and entered into the Metaboanalyst website for pathway enrichment analysis, which led to the preliminary elucidation of the molecular mechanisms. The results showed that intervention with AR can significantly improve the swimming-to-exhaustion time, increase liver glycogen, and reduce urea-nitrogen levels in mice. The difference between GL and HY ARs was relatively small, indicating that the quality of AR produced in the Hengshan area is consistent and stable. The metabolic fingerprints of mouse gastrocnemius muscle tissue extracts were composed of 34 metabolites, and the statistical results showed that 19 differential metabolites were significantly reversed after the Hengshan AR intervention. We found that the anti-fatigue effects of AR in the Shanxi Hengshan area were mainly associated with taurine and hypotaurine metabolism through regulation of GAD1, based on network pharmacological analysis. In conclusion, ¹H NMR metabolomic techniques were combined with network pharmacology to compare and evaluate the quality of Hengshan ARs, and further associate the fatigue relieve with the regulation of taurine metabolism. This provides a theoretical basis for the resource utilization of Hengshan ARs and the development of anti-fatigue-related products. The animal experiments in this study followed the regulations of the Animal Ethics Committee of Shanxi University and passed the ethical review of animal experiments (Approval No. SXULL2021028).

This study used metabolomics to explore the improvement effect of raw and honey-processed Glycyrrhizae Radix et Rhizoma on acute kidney injury (AKI) in rats. All animal experiments were approved by the Animal Ethics Committee of Shandong Academy of Chinese Medicine (approval No.: SDZYY20200101001). SD rats were randomly divided into normal group, model group, raw Glycyrrhizae Radix et Rhizoma group (0.9 g·kg^-1) and honey-processed Glycyrrhizae Radix et Rhizoma group (0.9 g·kg^-1), 6 rats in each group. The rats model of acute kidney injury was established by single intraperitoneal injection of cisplatin (CP) and treated with raw and honey-processed Glycyrrhizae Radix et Rhizoma. The pathological changes of renal tissue were evaluated by hematoxylin and eosin (HE) and PAS staining, the contents creatinine (Cr), blood urea nitrogen (BUN) and superoxide dismutase (SOD) in serum were detected. UPLC-Q-TOF/MS was used to study tissue metabolomics to screen the biomarkers affected by raw and honey-processed Glycyrrhizae Radix et Rhizoma and analyz the metabolic pathways. The results showed that compared with the model group, raw and honey-processed Glycyrrhizae Radix et Rhizoma can significantly improve the pathological changes of renal tissue and decrease the content of Cr, BUN and increase the activity of SOD. In addition, honey-processed Glycyrrhizae Radix et Rhizoma can also significantly reduce the kidney index. In tissue samples, 45 biomarkers were measured in AKI rats. Raw Glycyrrhizae Radix et Rhizoma and honey-processed Glycyrrhizae Radix et Rhizoma could simultaneously call back 11 differential metabolites, which were involved in the regulation of glycerophospholipid metabolism, tryptophan metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, and glutathione metabolism. In addition, raw Glycyrrhizae Radix et Rhizoma is also involved in the regulation of glycine, serine and threonine metabolism and pyrimidine metabolism. In summary, raw and honey-processed Glycyrrhizae Radix et Rhizoma can participate in the regulation of different metabolic pathways, and play an improvement role in AKI rats by regulating amino acid, lipid metabolism, energy metabolism and oxidative stress.

On the basis of the qualitative preparation quality markers of Zhibao Sanbian Wan (ZBSBW), we screened out the quantitative markers and evaluated the content consistency of ZBSBW. A method capable of simultaneously determining 34 compounds in ZBSBW was established based on HPLC-MS/MS, and 16 batches of ZBSBW were simultaneously analyzed by this method. Furthermore, we explored a general strategy for analyzing the component migration in preparation, plasma, brain tissue and cerebrospinal fluid. The methodological investigation was confirmed by linear range, recovery (85.10%-105.07%), precision (RSD: 1.37%-4.58%), stability, and repeatability (3.00%-12.45%), the established method was suitable for the detection and quantification of the compounds in ZBSBW. The contents of compounds in ZBSBW were all lower than 1 mg·g^-1, and the contents and daily dose of nystose were the highest, followed by echinacoside, paeoniflorin, osthole and paeonol. The results of systematic clustering showed that the contents were consistent for ordinary preparations of ZBSBW. The principal component analysis showed that the components of berberine, ginsenoside Re, ginsenoside Rg1, pinoresinol diglucoside and tenuifolin had large variation, which contributed significantly to the grouping. The contents of echinacoside, verbascoside, polygalaxanthone Ⅲ, β-ecdysterone, osthole, alisol B 23-acetate, liquiritin and glycyrrhizic acid were stable from batch to batch. The animal experiment results showed that osthole, paeonol and liquiritin in ZBSBW could be absorbed into the blood and enter the brain tissue by passing through the blood-brain barrier. All animal studies were reviewed and approved by the Institutional Animal Care and Use Committee at Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences (No. 2020B071). The above compounds contributed the quantitative preparation quality markers of ZBSBW. In conclusion, the HPLC-MS/MS method established in this study was sensitive, accurate and rapid, and could be used for simultaneous quantification of 34 compounds and content consistency evaluation of multiple batches of preparations in ZBSBW. The result provided a methodological basis for the screening of quantitative preparation quality markers and material basis research of ZBSBW.

This study, aiming at finding biomarkers which can assist in the diagnosis of respiratory syncytial virus (RSV) pneumonia and analyzing the metabolic pathways of anti-RSV activity of Scutellaria baicalensis Georgi (SG)., explores the improvement effect of SG on mice models infected by RSV with the metabolomics technology based on UPLC-Q-Exactive HF X-MS. Mice models affected by RSV are established by nasal drip method and the changes of body weight, rectal temperature and pathological damage of lung tissue are evaluated. The lung tissue samples of mice in each group are collected and analyzed by UPLC-Q-Exactive HF X-MS. The differential metabolites of SG drug intervention are explored by metabolomics technology, and the metabolic pathways regulated by SG are analyzed. The results show that SG can significantly improve the pathological state of the lung tissue of the mice and make its body weight and rectal temperature tend to be normal. In the lung tissue samples, 46 biomarkers, such as guanine, L-asparagine, and arachidonic acid, are screened for disease development in RSV model mice. SG improved RSV infection by recalling 22 potential biomarkers, such as uric acid, arachidonic acid, and alanine. The 22 potential markers mainly involved 11 abnormal metabolic pathways, including phenylalanine, tyrosine, and tryptophan biosynthesis, and arachidonic acid metabolism, alanine, aspartic acid and glutamate metabolism are closely related to the five metabolic pathways. SG improves RSV-infected mice mainly by regulating amino acids, lipids, cofactors and vitamins and nucleotide metabolites. All animal experiments were conducted under the guidance and approval of the Animal Ethics Review Committee of Shandong University of Traditional Chinese Medicine. (approval number: SDUTCM20210311001).

Plasma metabolomics based on UHPLC-Q-TOF-MS/MS technique was developed for profiling the mechanism on attenuating hepatic fibrosis of Bupleuri Radix (BR) and Paeoniae Radix Alba (PRA) before and after vinegar-processing and compatibility, and to screen potential pharmacodynamic substances by spectrum-effect correlation method in this study. Firstly, SD rats with CCl₄-induced hepatic fibrosis were used as an in vivo model. The blood and tissue samples were collected for the analyses of pharmacodynamic indexes and plasma metabolomics after six weeks' administration of BR, vinegar-processed BR (VPBR), PRA, vinegar-processed PRA (VPPRA), BR-PRA herb-pair, and VPBR-VPPRA herb-pair. The experiment was approved by the experimental animal ethics committee from Nanjing University of Chinese Medicine (No.202103A002). The results of pharmacodynamics indicated that the levels of alanine aminotransferase (ALT, P < 0.01), aspartate aminotransferase (AST, P < 0.01), and hydroxyproline (HYP, P < 0.01) were decreased significantly, while the level of glutathione peroxidase (GSH-Px, P < 0.05) was increased obviously after administration of all treatment groups. Next, UHPLC-Q-TOF-MS/MS was performed to characterize the endogenous metabolites. A total of 20 differential endogenous metabolites related to the pathogenesis of hepatic fibrosis were identified in positive and negative ion modes, mainly involving five metabolic pathways of retinol metabolism, glycerol phospholipid metabolism, glyceride metabolism, fatty acid biosynthesis, and arachidonic acid metabolism. Meanwhile, a concept named correction rate was introduced to evaluate the back-regulation effects of all treatment groups on differential metabolites, and 10 differential metabolites were corrected by all treatment groups. The correction effects of the vinegar-processed herb groups were better than those of the crude ones, and the correction effects of the herb-pair groups were better than those of the single ones. Interestingly, the best correction effect was found in the VPBR-VPPRA herb-pair group, which further verified the efficacy improvement through vinegar-processing and compatibility. Partial least square method and VIP analysis combined with spectrum-effect correlation were applied for screening pharmacodynamic markers, and 38 ingredients with higher correlation with four classical pharmacodynamic indexes (ALT, AST, HYP, and GSH-Px) were identified as pharmacodynamic markers of the anti-hepatic fibrosis effects of BR and PRA before and after vinegar-processing and compatibility. The results of the investigation could not only lay a foundation for clarifying the pharmacodynamic materials and mechanism of vinegar-processing and compatibility of BR and PRA in the treatment of hepatic fibrosis as well as provide a theoretical basis for demonstrating the scientific connotation of processing and compatibility, but also provide a reference for further drug design and development of BR and PRA in clinic.

In this study, a combination of metabolomics and network pharmacology was used to study the pharmacodynamic substances and mechanism of action of Yiyi Fuzi powder (YYFZ) on rheumatoid arthritis (RA) rats. The animal experiments were conducted in accordance with the requirements of the Experimental Animal Ethics Committee of Tianjin University of Traditional Chinese Medicine (approval number: TCM-LAEC2021241). The metabolomic analysis using UPLC-Q-TOF/MS technique identified 22 metabolites, including arachidonic acid, tryptophan, linoleic acid, phenylalanine, as significant biomarkers for the treatment of RA with YYFZ, and they were significantly regressed after YYFZ treatment. The analysis of YYFZ blood components also revealed that 11 blood components, including hypaconitine, benzoylhypaconitine, and deoxyaconitine, may be the components that exert direct pharmacological effects in YYFZ in vivo, and further network pharmacological analysis of blood components obtained that YYFZ may exhibit anti-inflammatory effects through acting on PI3K/Akt signaling pathway, estrogen signaling pathway, vascular endothelial growth factor (VEGF) signaling pathway. The results of this study provide implications for the clinical application of YYFZ.

Based on the UHPLC-Q-Exactive-MS metabonomics technology, the effect of Hippocampus kuda Bleeker on the life span of Drosophila melanogaster was studied, and the change rule of endogenous metabolites in the aging process of Drosophila melanogaster after the intervention of Hippocampus kuda Bleeker japonicus was explored to clarify the anti-aging mechanism of Hippocampus. The natural aging model of Drosophila melanogaster was used. Different doses of raw Hippocampus and fried Hippocampus were given to observe the effects on the life span, climbing ability, sexual activity, and antioxidant enzyme activity of Drosophila melanogaster. Based on UHPLC-Q-Exactive-MS metabolomics technology, the metabolic profile of the aging Drosophila melanogaster was analyzed using metabonomics technology to explore the mechanism of Hippocampus kuda Bleeker delaying the aging of Drosophila melanogaster. The results showed that raw Hippocampus and crispy Hippocampus (1, 4 mg·mL^-1) could significantly prolong the average life span, median life span and maximum life span of male fruit flies, and significantly improve the climbing ability and sexual vitality of fruit flies. Catalase (CAT) and aldehyde content were increased, while malonaldehyde (MDA) content was decreased. Through metabonomics technology, it was identified that the Hippocampus can significantly recall 16 metabolites and participate in the biosynthesis of phenylalanine, tyrosine and tryptophan, starch and sucrose metabolism, tyrosine metabolism, cysteine and methionine metabolism, and histidine metabolism. The anti-aging mechanism is related to amino acid metabolism and sugar metabolism, which provides a substantial scientific basis for the development and utilization of Hippocampus and clarifying its role in senile diseases. The animal experiment of this study was approved by the Ethics Committee of Shanxi University (approval number: SXULL2021028).

The alterations of serum biological endogenous chemicals in rats with phlegm dampness accumulation syndrome of prehypertension (PHT) were interfered by Banxia Baizhu Tianma decoction (BBT), and the metabolic regulatory pathway of BBT was clarified using serum metabonomics analysis. To replicate the rat model of prehypertension phlegm dampness syndrome, blood pressure, behavioral markers, and serum biochemical markers of rats were collected. BBT's effectiveness in controlling blood pressure and blood lipids was assessed, and changes in endogenous small molecules in rat serum were determined using UPLC-Q-Orbitrap MS metabolic analysis. The results showed that BBT could regulate 9 metabolites, including arachidonic acid, cholic acid, glycodeoxycholic acid, N-adenosyltyrosine, arginine, lysophosphatidylethanolamine (20:0/0:00), lysophospholipid (P-18:0), lysophospholipid (18:0), lysophospholipid (22:5(7Z, 10Z, 13Z, 16Z, 19Z)). MetaboAnalyst was used to analyze the metabolic pathway. There were 7 metabolic pathways closely related to the change of blood pressure in rats, among which arachidonic acid metabolic pathway was the most critical. The metabolism difference foreign body in the model rats tends to return to the normal level, which provides a research basis for the mechanism of BBT from the perspective of metabonomics. This study was approved by the Experimental Animal Welfare Ethics Review Committee of Shandong University of Traditional Chinese Medicine (approval number: SDUTCM20211103001).

The pathogenesis of the nephrotic syndrome is complex and the pathological types are diverse, so the minor symptoms in its early phases are difficult to detect. Renal biopsy is the gold indicator for the diagnosis of renal pathology and progression, but poor patient compliance shows, and the optimal treatment time is often delayed. Therefore, the discovery of biomarkers for early diagnosis and disease progression monitoring is of great clinical significance. In this study, doxorubicin-injured podocyte models were used to simulate human kidney disease at different stages of progression. LC-MS-based metabolomic technology combined with statistical methods was used to screen and identify the potential biomarkers associated with early injury or progression of podocytes. The results of cell viability, apoptosis tests and podocyte structural protein analysis showed that the model was successfully constructed, and the degree of podocyte injury was significantly different between the two modeling methods. According to VIP > 1 and P < 0.05 based on the orthogonal partial least squares discriminant analysis (OPLS-DA) model, nine differential metabolites reflecting early podocyte injury and twelve differential metabolites reflecting the injury progression were screened, respectively. ROC analysis was adopted to focus on the potential biomarkers that can reflecting the early podocyte injury including L-tryptophan, guanosine triphosphate (GTP), 5′-thymidylic acid (dTMP) and thymidine, and the biomarkers reflecting the injury progression of podocytes composed of L-phenylalanine, L-tyrosine acid, uridine 5′-diphosphate (UDP) and guanosine 5′-diphosphate (GDP) AUC > 0.85. It indicated that these eight metabolites may have high sensitivity and diagnostic ability. This study provides a reference for the research on biomarkers of progressive diseases.

Lu Dangshen, a traditional authentic medicinal material of Codonopsis Radix is mainly produced in Shangdang (Changzhi) area of Shanxi Province. Baitiao Dangshen is mainly produced in Gansu Province. Codonopsis Radix contains many kinds of components such as phenylpropanoids, polyalkynes, alkaloids, terpenes, fatty acids, flavonoids, and so on. At present, the effect of producing areas on its chemical compositions has not been systematically studied. This study analyzed the differences of metabolites among Codonopsis pilosula from different producing areas by UPLC-HRMS. PCA, OPLS-DA coupled with Thermo mzcloud online and local databases were used to compare the overall differences of metabolites among Codonopsis pilosula from different producing areas, and the chemical constituents were identified to further screen and find out the different metabolites and analyze the metabolic pathways by information retrieval in HMDB, PubChem, Chemspider and KEGG databases. The results showed that 72 differential metabolites were identified in this study. There were 15 kinds of up-regulated and 57 kinds of down-regulated metabolites of Lu Dangshen compared with Baitiao Dangshen. The top 30 metabolic pathways were analyzed by KEGG enrichment, and the most important metabolic pathways were phenylpropanoid biosynthesis, which was demonstrated that phenylpropanoid biosynthesis pathway and related intermediate metabolites could be used as the characteristics of distinguishing Lu Dangshen from different habitats of Codonopsis pilosula. The present study provided a basis for analyzing the influence of producing areas on the chemical components of Codonopsis pilosula and reasonably evaluating the quality of Codonopsis Radix, and also provided a new idea for expounding the authenticity of Lu Dangshen.

The study aims to explore the effects and mechanisms of water extract of Potentilla anserina (PA) on myelosuppression mice induced by cyclophosphamide based on metabonomics. The myelosuppressive mouse model was established by injected with cyclophosphamide and treated with water extract of PA. Thymus and spleen indexes, peripheral hemogram and bone marrow nucleated cells of each group was detected. Bone marrow pathology analysis was performed by hematoxylin-eosin staining. The levels of interleukin 3 (IL-3), interleukin 6 (IL-6), erythropoietin (EPO), granulocyte colony stimulating factor (GM-CSF), malondialdehyde (MDA), superoxide dismutase (SOD) and catalase (CAT) in serum were measured. The changes of biomarkers and related metabolic pathways were analyzed by UPLC-Q-TOF/MS-based metabonomics. Animal experiments were approved by the Animal Ethics Committee of Southwest Minzu University. The high doses of PA could significantly improve the decrease of white blood cell (WBC), red blood cell (RBC) counts and hemoglobin (HGB) levels of mice induced by cyclophosphamide (P < 0.05), and significantly increase the number of nucleated cells and the area of hematopoietic tissue in femoral bone marrow. The medium and high doses of PA could significantly improve the serum levels of SOD, CAT, MDA, IL-6 and GM-CSF (P < 0.05), and have no significant effect on the expression of IL-3 and EPO (P > 0.05). Serum metabolomics analysis showed that the aqueous extracts of PA could alleviate myrosuppression by regulating the aminoacyl-tRNA, valine, leucine and isoleucine biosynthesis mediated by 13 different metabolites such as valine, leucine, asparagine and hydroxyisohexic acid. PA improve the inhibition of hematopoietic function in myelosuppression mouse, and its mechanisms may be related to anti-oxidation and promoting the expression of hematopoietic-related cytokines and regulating the related metabolic pathways.

Root rot severely restricts the sustainable development of Astragalus membranaceus var. mongholicus (AMM) industry. Resistance breeding is an economical and environmentally safe way to manage the disease and its key lies in the obtaining of resistance indicators. This study aimed to quickly and accurately screen the resistance-related (RR) metabolites so as to provide reference for the screening of indicators of AMM breeding for resistance. LC-MS-based targeted metabolomics and real-time quantitative PCR technology were employed, in combination with multivariate statistical analysis, in analyzing the dynamic changes of phenylpropanoid metabolites in AMM in response to root rot pathogen Fusarium solani (FS) infection and identifying the differential metabolites. The LC-MS method established showed high sensitivity; each metabolite had a good linear relationship (R² ≥ 0.968 9) in the corresponding linear range of the respective standard curve; the recoveries and the relative standard deviations (RSDs) (n = 6) ranged from 70% to 107% and from 1.2% to 9.9%, respectively. Obvious disturbances were observed in the changes of the targeted metabolites in AMM infected by FS. These metabolites, compared with the mock-inoculated (CK) group, showed different up or down regulation with time series. Calycosin-7-O-β-D-glucoside, ononin, calycosin and formononetin were identified as differential metabolites, and they all belong to flavonoids. The first three compounds were significantly negatively correlated (r ≤ -0.97, P < 0.05) with the content of FS in the root of AMM. As potential RR metabolites, they are helpful in obtaining promising resistance indicators for AMM against FS infection.

By integrating plant metabonomics and target quantitative analysis methods, this study systematically analyzed the differences of chemical constituents in Scutellaria baicalensis leaves from different producing areas in Shanxi, so as to provide theoretical basis for rational and effective utilization of Scutellaria baicalensis leaves. Based on the idea of plant metabonomics, the liquid quality of 53 batches of Scutellaria baicalensis leaves from 8 different producing areas in Shanxi was analyzed by UPLC-QTOF-MS, and the collected data were imported into SIMCA 14.1 software for multivariate statistical analysis to screen the different chemical constituents among different habitats in Shanxi. Meanwhile, a method for simultaneous determination of 7 flavonoids and 3 organic acids in Scutellaria baicalensis leaves was optimized and established to quantitatively analyze the differences of chemical components in Scutellaria baicalensis leaves from different producing areas in Shanxi. The results of plant metabonomics showed that there were differences in the chemical composition of Scutellaria baicalensis leaves in northern Shanxi (Datong, Xinzhou), Jinzhong (Yangquan, Luliang) and southern Shanxi (Changzhi, Yuncheng, Jincheng, Linfen): there were 14 significant differences in chemical composition between northern Shanxi and Jinzhong; there were 18 significant differences in chemical constituents between southern Shanxi and central Shanxi. There were 15 significant differences in chemical constituents between northern Shanxi and southern Shanxi. Among them, scutellarin and isocarthamidin-7-O-glucuronide were the common differences among the three regions, and the content of scutellarin was the highest in southern Shanxi and the lowest in northern Shanxi. The content of isocarthamidin-7-O-glucuronide was the highest in Jinzhong area and the lowest in northern Shanxi area. Quantitative analysis further confirmed that the average contents of apigenin, naringenin and citric acid were the highest in northern Shanxi, scutellarin, caffeic acid, apigenin-7-O-glucuronide, malic acid and wogonoside were the highest in southern Shanxi, and wogonoside and baicalin were the highest in central Shanxi. This study is of great significance to the quality control of Scutellaria baicalensis leaf resources, and provides theoretical basis for rational and effective utilization of Scutellaria baicalensis leaf resources.

In this study, untargeted metabolomics technology based on ultra-high-performance liquid chromatography-quadrupole/time of flight mass spectrometry (UPLC-Q-TOF-MS/MS) was used to analyze and identify the overall chemical components of Juniperri Caulis et Folium. Chemical markers for the identification of different Juniperri Caulis et Folium species were screened by integrated principal component analysis and partial least squares discriminant analysis. A total of 58 chemical components were detected and 46 of them were identified, including 26 flavonoids, 8 organic acids and their derivatives, 4 phenylpropanoids, 3 terpenoids, and 5 other components. Among them, methylsyringin and ekersenin were identified for the first time. In the positive ion mode, 12 markers were screened, and in the negative ion mode, 13 markers were screened for species identification. In summary, UPLC-Q-TOF-MS/MS metabonomics technology combined with chemometrics method can effectively reveal the chemical composition differences of different Juniperri Caulis et Folium species, and provide reference for its species identification and quality control.

In this study, we investigated the anti-osteoporotic activity and mechanism of action of extract of Panax quiquefolium L. based on zebrafish model combined with metabolomics technology. A zebrafish model of prednisolone-induced osteoporosis was used to compare the anti-osteoporotic activity of Panax quiquefolium L., and the expression of osteoblast-associated genes and osteoclast-associated genes in zebrafish was detected by quantitative real-time PCR (qRT-PCR), using bone fluorescence area and fluorescence density as evaluation indexes. Metabolomics based on ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS) was used to explore the change patterns of biomarkers and the metabolic pathways affected. The results showed that the 50% ethanol extracts of Panax quiquefolium L. from Jilin, Canada, Wenden and the United States can significantly improve the bone fluorescence area of zebrafish compared with model group. Furthermore, four sources 50% ethanol extracts of Panax quiquefolium L. except United States also can significantly improve the bone fluorescence density of zebrafish. In addition, PCR showed that extract of Panax quiquefolium L. can significantly up-regulated the expression of vitamin D receptor b (vdrb), collagen type I α2 (col1a2) and cysteine-rich acidic secreted protein (sparc) genes, and down-regulated the expression of matrix metalloproteinase 9 (mmp9), anti-tartrase acid phosphatase (trap) and cathepsin K (ctsk) genes. Metabolomic analysis identified 24 key differential metabolites. Furthermore, pathway analysis showed that Panax quiquefolium L. could regulate the levels of 10 key biomarkers by participating in purine metabolism, tricarboxylic acid cycle and pentose phosphate metabolism and improve the osteoporosis status of zebrafish. This study preliminically revealed the anti-osteoporosis mechanism of 50% ethanol extract from Panax quiquefolium L. through multi-component, multi-target and multi-pathway and also provides theoretical basis for clinical development and utilization of anti-osteoporosis products of Panax quiquefolium L. This experiment was approved by the Experimental Animal Welfare Ethics Committee of the Institute of Biology, Shandong Academy of Sciences (approval number: SWS20181002).

Based on the technology of platelet proteomics, the key regulatory proteins and pathogenesis of coronary heart disease with phlegm and blood stasis syndrome were explored and analyzed. Based on the previous laboratory research, the model of coronary heart disease in mini-swine with phlegm-stasis cementation syndrome was duplicated. The model was judged by the changes in blood lipid and myocardial tissue characteristics. Furthermore, the platelet proteins were studied by quantitative proteomics, and the differentially expressed proteins were screened. The critical regulatory proteins and biological pathways of coronary heart disease with phlegm-stasis cementation syndrome were analyzed by bioinformatics. After ten weeks of modeling, the levels of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), very low density lipoprotein (VLDL-C), triglyceride (TG), creatine kinase (CK) and creatine kinase-MB (CK-MB) in the model group were significantly increased, reflecting the pathological changes such as increased blood lipid, abnormal coagulation function and myocardial ischemia in the model group. In addition, compared with the sham group, there were 26 up-regulated proteins and 8 down-regulated proteins in the platelets of the model group. Combined with bioinformatics analysis, it was found that differential proteins mainly involved in glycolysis/gluconeogenesis, pyruvate metabolism, lipid and atherosclerosis, Ras protein signal transduction. Among them, lactate dehydrogenase B (LDHB), alcohol dehydrogenase 5 (ADH5), neuroblastoma ratsarcoma viral oncogene homolog (NRAS) and Kirsten ratsarcoma viral oncogene homolog (KRAS) play a central role when interacting with other proteins and simultaneously participate in multiple action pathways. The results showed that LDHB, ADH5, NRAS, and KRAS may be the marker proteins in CHD with phlegm-stasis cementation syndrome by regulating glycolysis/gluconeogenesis, pyruvate metabolism, lipid and atherosclerosis, Ras protein signal transduction and other biological processes.

One of the traditional prescriptions for treating lung diseases, Jiegeng decoction (JGT), is still unknown in terms of its chemical makeup and mechanism. In this study, Q-Exactive-Orbitrap MS technology was used to identify the chemical constituents of JGT, and metabolomics was used to examine the effect of JGT on metabolites in the lung tissue of mice with acute lung injury (ALI) model. The potential biomarkers were screened by fold change (FC) > 1.5 or FC < 0.67 and P < 0.05, and enriched for metabolic pathways. A total of 40 compounds, including triterpenoid saponins, flavonoids and glycosides, were identified by mass spectrometry analysis of JGT. All animal experiments were approved by the Experimental Animal Ethics Committee of Tianjin University of Traditional Chinese Medicine (No. TCM-LAEC2021106). The results showed that JGT improved the lung coefficient, and lung tissue morphology of mice with ALI, lowered the levels of malondialdehyde (MDA), tumor necrosis factor α (TNF-α), and interleukin 6 (IL-6) in bronchoalveolar lavage fluid (BALF), and reduced myeloperoxidase (MPO) content in lung tissue. The metabolomic results showed that JGT could regulate 22 metabolites associated with ALI, among which leukotriene D4, docosapentaenoic acid, hypoxanthine, L-5-oxoproline, and other metabolites were mainly associated with the body′s inflammatory response and oxidative stress, and were enriched in the pathways of glutathione metabolism, purine metabolism, and primary bile acid biosynthesis. This study analyzed the potential mechanism of JGT in the treatment of ALI through metabolomics, providing an important theoretical basis for the clinical application of JGT.

The purpose of this study was to investigate the effects of ethanol extract of Scutellaria baicalensis Georgi (SGE) on endogenous metabolites in toes of rats with inflammatory pain induced by complete Freund's adjuvant (CFA) based on ¹H NMR metabolomics, which would provide foundation for revealing the effects and mechanisms of SGE in improving inflammatory pain. This animal experiment was approved by the Committee on the Ethics of Animal Experiments of Shanxi University (SXULL2022062). The rats model of inflammatory pain was induced by subcutaneous injection of CFA (0.1 mL), and the effect of low, medium and high doses of SGE (1.5, 3, 6 g·kg^-1) on inflammatory pain were explored. The effects of SGE on relieving inflammatory pain was evaluated by mechanical nociceptive thresholds (MNTs) test. Western blot was used to detect the effects of SGE on protein expression of cyclooxygenase-2 (COX-2), nuclear factor kappa-B (NF-κB) and phospho-NF-κB (p-NF-κB). ¹H NMR metabolomics was used to analyze the regulatory effects of SGE on endogenous metabolites in the toes of rats with inflammatory pain. The results showed that SGE (6 g·kg^-1) could significantly relieve CFA-induced inflammatory pain, and also notably inhibit the protein expression of COX-2, NF-κB and p-NF-κB. SGE could markedly reverse the changes of 8 differential metabolites, such as glycine, glutamine, succinate, phosphorylcholine, etc. The metabolites were involved in eight metabolic pathways, such as glycine, serine and threonine metabolism, alanine, aspartate and glutamate metabolism, glyoxylate and dicarboxylate metabolism, glutathione metabolism, glycerophospholipid metabolism. These results suggest that SGE may relieve inflammatory pain by regulating NF-κB signaling pathway and metabolic abnormality.

The study aims to investigate the mechanism of Fengshining fecal microbiota transplants in the intervention of rheumatoid arthritis by ultra-performance liquid chromatography-quadrupole/electrostatic field obitrap high-resolution mass spectrometry (UHPLC-Q-Exactive Orbitrap-MS). All animal welfare and experimental procedures followed the regulations of the Medical Ethics Committee of Shanxi University of Chinese medicine. The rats were randomly divided into normal group, model group, fecal microbiota transplantation group and Tripterygium wilfordii polyglycoside group, and the collagen induced arthritis (CIA) was established. The changes of body weight and metatarpodal lesions of rats were evaluated. The serum of rats in each group was analyzed by liquid chromatography-mass spectrometry and metagenomic technology for differential metabolites and microflora. The protein expression levels of Toll-like receptors (TLR4), myeloid differentiation factor 88 (MyD88) and nuclear factor of kappa B (NF-κB p65) were detected by Western blot. A total of 13 different metabolites, including arachidonic acid, docosahexaenoic acid, 13S-hydroxyoctadecanodienoic acid and L-phenylalanine were screened from serum. Three metabolic pathways, including phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism and arachidonic acid metabolism were identified through pathway enrichment. Metagenomic analysis showed that the abundance of g_Bacteroides, g_Prevotella and p_Actinobacteria in CIA group was higher. The abundance of c_Clostridia, g_Akkermansia and s_Akkermansia_muciniphila in fecal microbiota transplantation group is higher. The hierarchical cluster heat map showed that Akkermansia was negatively correlated with L-phenylalanine; while positively correlated with docosahexaenoic acid. Prevotella was positively correlated with L-phenylalanine. Fecal microbiota transplantation group could significantly inhibit the expression of TLR4, MyD88 and p65 proteins in the synovium of rats (P < 0.01). The anti-rheumatoid arthritis effects of fecal microbiota transplantation group is closely related to the intervention of the metabolism of phenylalanine and arachidonic acid, through Akkermansia, Prevotella and other microorganisms, inhibition the TLR4/MyD88/NF-κB pathway.

This study aimed to explore the effects of Ziziphi Spinosae Seme (ZSS) and Fried Ziziphi Spinosae Semen (FZSS) on metabolites and intestinal flora structure in insomnia mice by combining metabolomics analysis and 16S rRNA gene sequencing. Animal experimentation was approved according to the Committee on the Ethics of Animal Experiments of Shanxi University of Chinese Medicine (approval number: 2021DW172). The prediction targets were validated in para-chlorophenylalanine (PCPA) induced insomnia mice with administration of ZSS and FZSS for 5 days, respectively. Then pentobarbital sodium induced sleeping test were performed to evaluate the synergistic sleep-aiding effect of ZSS and FZSS. The metabolic profile of serum from insomnia mice was analyzed by UPLC-Q-Orbitrap MS. Different metabolites were screened combined with multivariate statistical analysis. The relevant metabolic pathways and networks were constructed by MetaboAnalyst 5.0. Intestinal flora changes were detected by 16S rRNA sequencing technology. Animal study indicated that, compared to PCPA-induced insomnia model, ZSS and FZSS shortened the sleeping latency and increased the sleeping duration. The serum metabolomics results showed that, there are 36 potential biomarkers associated with insomnia were identified. Compared with the model group, 25 and 27 differential metabolites were identified in the ZSS and FZSS groups, respectively. Both ZSS and FZSS groups could significantly adjust to the common 20 differential metabolites. A total of 10 pathways are closely related to insomnia, which including amino acid metabolism, energy metabolism and lipid metabolism. 5 metabolic pathways are shared in ZSS and FZSS, including phenylalanine, tyrosine and tryptophan biosynthesis, cysteine and methionine metabolism and so on. Arachidonic acid metabolism is the unique metabolic pathway for ZSS to improve sleep; 3 metabolic pathways including glutamate and glutamine are the unique regulatory pathway for FZSS to improve sleep. PCoA analysis showed that the structure of ZSS and FZSS recovered to blank group, ZSS and FZSS can decrease the abundance of Pvotella and increase the abundance of Lactobacillus. LEfSe and correlation analysis between metabolites and differential intestinal flora showed that kynurenic acid, L-glutamic acid, D-proline are significantly positively associated with Gammaproteobacteria in ZSS and 5-HT, acetylcholine, L-methionine are significantly positively associated with Lactobacillus in FZSS. In conclusion, both ZSS and FZSS can influence metabolic pathways such as amino acids, energy and lipids and regulate the structure of intestinal flora, and then play a part in treating insomnia. However, ZSS and FZSS improve the quality of sleeping by regulating different metabolic pathways and regulating gut microbiota structure. The results of this study provide an experimental basis for illustrating the action mechanism of ZSS and FZSS in treating insomnia and provide a scientific basis for clinical rational medication guidance.

A UPLC-Q-Orbitrap-MS based metabolomic approach combined with biochemical assay and histopathological inspection were employed to study the intervention effects of Suanzaoren Decoction (SZRD) on chronic unpredictable mild stress (CUMS) depression rats, and to clarify the metabolic regulation pathway of SZRD. The rats were randomly divided into normal control group, CUMS model group, positive drug venlafaxine group, SZRD high (24 g·kg^-1) and low (12 g·kg^-1) dose groups, respectively. The CUMS model was replicated by subjecting to a variety of stimulus, such as thermal stimulation, ice water swimming, ultrasonic stimulation, tail clamping, day and night reversal, plantar electric shock and so on for rats. After oral administration of drugs for 28 days, the behavioral indexes of rats in each group were observed and the hippocampus and serum samples of rats were collected for biochemical assay and histopathological inspection. Compared with the CUMS model group, low dose and high dose SZRD groups can significantly reduce the immobility time of forced swimming (P < 0.001, P < 0.001), increase the sucrose preference rate (P < 0.01, P < 0.05), the number of crossings (P < 0.05, P < 0.01) and the number of uprights (P < 0.05, P < 0.01) in the open field test, suggesting that SZRD can significantly improve the depression-like behavior of CUMS model rats. In addition, SZRD could significantly reduce the levels of serum IL-6, IL-1β and TNF-α of CUMS model rats. A total of 21 differential metabolites in serum were identified by comparison with the data from the literature and databases. In addition, low-dose SZRD and high-dose SZRD improved the 8 and 11 perturbed potential serum biomarkers that were induced by CUMS, respectively, which related to alanine, aspartic acid and glutamic acid, tryptophan and arachidonic acid metabolism. This study provides a scientific basis for expanding the clinical indications of SZRD. This experiment was approved by the Animal Ethics Committee of Shanxi University (Approval No. SXULL2020028).

Bupleuri Radix is commonly used in the traditional Chinese medicine, and saikosaponins are the important active ingredients. In this study, we first established a relative quantitative method for 25 saikosaponins using ultra high performance liquid chromatography-triple quadrupole mass spectrometry (UHPLC-QTrap-MS) in the scheduled multiple reaction monitoring (sMRM) mode. The established method showed good intra-day and intra-day precision, linearity, repeatability and stability. Then the method was applied to compare 37 batches of Bupleuri Radix from different planting areas. The results showed that there was no significant difference in the saikosaponins composition of Bupleuri Radix from different planting areas in Shanxi Province, which indicating that Bupleuri Radix is well adapted to the environment, so it is suitable for widely planting. However, Bupleuri Radix harvested at spring and autumn were differed from those harvested at summer, which indicated that the traditional harvesting experience was reasonable. Correlation analysis showed that saikosaponins a and d were positively correlated with some saponins, and 4 saponins (such as clinoposaponin Ⅻ) showed bigger content variation were identified by coefficient of variation analysis. The LC-MS based pseudotargeted metabonomic method established in this study can be applied to the comprehensive detection of saikosaponins, which providing new method for the quality evaluation of Bupleuri Radix.

Astragalus is a commonly used Chinese medicinal material in traditional Chinese medicine (TCM), and with the increase of planting area in recent years, the damage of Astragalus root rot has worsened year by year, which seriously affecting its quality and yield. Fusarium oxysporum is one of the main pathogens causing root rot in astragalus. In this study, UPLC-Q-TOF-MS based metabolomic approach combined with multivariate statistical analysis were used to analyze the metabolite changes of Astragalus in response to F. oxysporum infection. The results showed that 62 metabolites in the Astragalus had significant changes after inoculation of F. oxysporum. Polar metabolites included 40 flavonoids, 8 saponins, 2 nucleosides, 1 vitamin, 1 organic acid, 1 amino acid; while lipid metabolites included 3 fatty acids, 1 diradylglycerols, 2 lysophosphatidylcholine, 1 lysophosphatidylglycerol, 1 phosphatidylinositol, 1 sterol lipid. Among these differential metabolites, the relative content of flavonoids, vitamin B₂, tryptophan and salicylic acid were increased, while the relative content of saponins were decreased. Correlation analysis showed that the flavonoids were positively correlated with each other, and positively correlated with most lipids, but negatively correlated with most saponins. In addition, studies have shown that F. oxysporum infection is not an influencing factor for the generation of malonyl substitution of flavonoid. This study elucidates the effect of F. oxysporum infection on Astragalus from the perspective of plant metabolism, which provides a basis for exploring the interaction mechanism between the Astragalus and F. oxysporum and further promoting molecular breeding.