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.

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.

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.

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.

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.

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).

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.

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).

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.

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).