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.

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.

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.

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.

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.

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.

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.

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).

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, 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.