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.