Metabolomics study of Berberidis Radix in intervening ulcerative colitis based on UPLC-Q-TOF-MS / 中国中药杂志

The effect of Tujia medicine Berberidis Radix on endogenous metabolites in the serum and feces of mice with ulcerative colitis(UC) induced by dextran sulfate sodium(DSS) was analyzed by metabolomics technology to explore the metabolic pathway and underlying mechanism of Berberidis Radix in the intervention of UC. The UC model was induced in mice by DSS. Body weight, disease activity index(DAI), and colon length were recorded. The levels of tumor necrosis factor-α(TNF-α) and interleukin-10(IL-10) in colon tissues were determined by ELISA. The levels of endogenous metabolites in the serum and feces were detected by ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS). Principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) were employed to characterize and screen differential metabolites. The potential metabolic pathways were analyzed by MetaboAnalyst 5.0. The results showed that Berberidis Radix could significantly improve the symptoms of UC mice and increase the level of the anti-inflammatory factor IL-10. A total of 56 and 43 differential metabolites were identified in the serum and feces, respectively, belonging to lipids, amino acids, fatty acids, etc. After the intervention by Berberidis Radix, the metabolic disorder gradually recovered. The involved metabolic pathways included biosynthesis of phenylalanine, tyrosine, and tryptophan, linoleic acid metabolism, phenylalanine metabolism, and glycerophospholipid metabolism. Berberidis Radix can alleviate the symptoms of mice with DSS-induced UC, and the mechanism may be closely related to the re-gulation of lipid metabolism, amino acid metabolism, and energy metabolism.

Discovery of biomarkers related to abnormal lipid metabolism in liver and serum and intervention mechanism of ginsenoside Rb_1 in hyperlipidemia rats based on non-targeted metabolomics / 中国中药杂志

Through the non-targeted metabolomics study of endogenous substances in the liver and serum of hyperlipidemia rats, the biomarkers related to abnormal lipid metabolism in hyperlipidemia rats were found, and the target of ginsenoside Rb_1 in improving hyperlipidemia was explored and its mechanism was elucidated. The content of serum biochemical indexes of rats in each group was detected by the automatic biochemical analyzer. The metabolite profiles of liver tissues and serum of rats were analyzed by HPLC-MS. Principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) were used to compare and analyze the metabolic data in the normal group, the hyperlipidemia group, and the ginsenoside Rb_1 group, and screen potential biomar-kers. The related metabolic pathways were further constructed by KEGG database analysis. The results showed that hyperlipemia induced dyslipidemia in rats, which was alleviated by ginsenoside Rb_1. The non-targeted metabolomics results showed that there were 297 differential metabolites in the liver tissues of hyperlipidemia rats, 294 differential metabolites in the serum samples, and 560 diffe-rential metabolites in the hyperlipidemia rats treated by ginsenoside Rb_1. Perillic acid and N-ornithyl-L-taurine were common metabolites in the liver and serum samples, which could be used as potential biomarkers for ginsenoside Rb_1 in the improvement of hyperlipidemia. As revealed by pathway enrichment in the liver and serum, ginsenoside Rb_1 could participate in the metabolic pathway of choline in both the liver and serum. In addition, ginsenoside Rb_1 also participated in the ABC transporter, alanine, aspartic acid, and glutamate metabolism, protein digestion and absorption, β-alanine metabolism, taurine and hypotaurine metabolism, caffeine metabolism, valine, leucine, and isoleucine biosynthesis, arachidonic acid metabolism, and methionine and cysteine metabolism to improve dyslipidemia in rats.

Mechanism of Gardeniae Fructus in ameliorating rheumatoid arthritis based on metabolomics and intestinal microbiota / 中国中药杂志

Rheumatoid arthritis(RA), a chronic autoimmune disease, is featured by persistent joint inflammation. The development of RA is associated with the disturbance of endogenous metabolites and intestinal microbiota. Gardeniae Fructus(GF), one of the commonly used medicinal food in China, is usually prescribed for the prevention and treatment of jaundice, inflammation, ache, fever, and skin ulcers. GF exerts an effect on ameliorating RA, the mechanism of which remains to be studied. In this study, ultra-perfor-mance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS)-based serum non-target metabolomics and 16S rDNA high-throughput sequencing were employed to elucidate the mechanism of GF in ameliorating RA induced by complete Freund's adjuvant in rats. The results showed that GF alleviated the pathological conditions in adjuvant arthritis(AA) rats. The low-and high-dose GF lo-wered the serum levels of interleukin(IL)-6, tumor necrosis factor-α(TNF-α), IL-1β, and prostaglandin E2 in the rats(P<0.05, P<0.01). Pathways involved in metabolomics were mainly α-linolenic acid metabolism and glycerophospholipid metabolism. The results of 16S rDNA sequencing showed that the Streptococcus, Facklamia, Klebsiella, Enterococcus, and Kosakonia were the critical gut microorganisms for GF to treat AA in rats. Spearman correlation analysis showed that the three differential metabolites PE-NMe[18:1(9Z)/20:0], PC[20:1(11Z)/18:3(6Z,9Z,12Z)], and PC[20:0/18:4(6Z,9Z,12Z,15Z)] were correlated with the differential bacteria. In conclusion, GF may ameliorate RA by regulating the composition of intestinal microbiota, α-linolenic acid metabolism, and glycerophospholipid metabolism. The findings provide new ideas and data for elucidating the mechanism of GF in relieving RA.

Effect of Uremic Clearance Granules on improvement of chronic kidney disease in rats based on microbiome-metabolomics and its mechanism / 中国中药杂志

This research aimed to study the effect of Uremic Clearance Granules on chronic kidney disease in SD rats by using the methods of microbial functional genomics combined with metabolomics, and to preliminarily explore its mechanism. The SD rat model of chronic kidney disease was established by the adenine-induced method. After the model was successfully induced, the animals were randomly divided into a negative control group, a Uremic Clearance Granule treatment group, and a normal control group, with 8 rats in each group. After 4 weeks of administration, animal feces and serum were collected, and 16S rDNA sequencing technology was used to analyze the abundance, diversity, and function prediction of intestinal microorganisms. Liquid chromatography-mass spectrometry(LC-MS) technology was used to perform high-throughput sequencing to detect animal serum metabolites. The MetPA database was used to screen out potential biomarkers of chronic kidney disease in rats and conduct the enrichment analysis of metabolic pathways. Spearman's method was used to analyze the correlation between the two omics. The results showed that Uremic Clearance Granules effectively improved the body weight loss and renal function-related biochemical and appearance indicators in rats with chronic kidney disease. The results of 16S rDNA sequencing showed that Uremic Clearance Granules regulated the diversity and composition of the intestinal flora in rats with chronic kidney disease. The changes in the intestinal flora affected functional metabolic pathways such as amino acid biosynthesis and metabolism, lipid metabolism, and carbohydrate metabolism. The results of LC-MS showed that as compared with the negative control group, 15 metabolites were reversed in the Uremic Clearance Granule treatment group, among which 11 potential marker metabolites were significantly up-regulated and 4 potential marker metabolites were significantly down-regulated. Five amino acid metabolic pathways were mainly involved, which were significantly correlated with changes in the intestinal flora. Therefore, Uremic Clearance Granules can improve the renal function of rats with chronic kidney disease, and the mechanism may be related to its effect on the amino acid metabolism pathway by regulating the intestinal flora.

Hepatic metabolomics combined with network pharmacology to reveal the correlation between the anti-depression effect and nourishing blood effect of Angelicae Sinensis Radix / 中国天然药物

Angelicae Sinensis Radix (AS) is reproted to exert anti-depression effect (ADE) and nourishing blood effect (NBE) in a rat model of depression. The correlation between the two therapeutic effects and its underlying mechanisms deserves further study. The current study is designed to explore the underlying mechanisms of correlation between the ADE and NBE of AS based on hepatic metabonomics, network pharmacology and molecular docking. According to metabolomics analysis, 30 metabolites involved in 11 metabolic pathways were identified as the potential metabolites for depression. Furthermore, principal component analysis and correlation analysis showed that glutathione, sphinganine, and ornithine were related to pharmacodynamics indicators including behavioral indicators and hematological indicators, indicating that metabolic pathways such as sphingolipid metabolism were involved in the ADE and NBE of AS. Then, a target-pathway network of depression and blood deficiency syndrome was constructed by network pharmacology analysis, where a total of 107 pathways were collected. Moreover, 37 active components obtained from Ultra Performance Liquid Chromatography-Triple-Time of Flight Mass Spectrometer (UPLC-Triple-TOF/MS) in AS extract that passed the filtering criteria were used for network pharmacology, where 46 targets were associated with the ADE and NBE of AS. Pathway enrichment analysis further indicated the involvement of sphingolipid metabolism in the ADE and NBE of AS. Molecular docking analysis indciated that E-ligustilide in AS extract exhibited strong binding activity with target proteins (PIK3CA and PIK3CD) in sphingolipid metabolism. Further analysis by Western blot verified that AS regulated the expression of PIK3CA and PIK3CD on sphingolipid metabolism. Our results demonstrated that sphingolipid metabolic pathway was the core mechanism of the correlation between the ADE and NBE of AS.

Preliminary exploration of the metabolic profile and metabolic pathways in newly diagnosed multiple myeloma / 中华肿瘤杂志

Objective: To explore the metabolite profile and metabolic pathways of newly diagnosed multiple myeloma (MM). Methods: Gas chromatography-mass spectrometry (GC-MS) was employed for the high-throughput detection and identification of serum samples from 55 patients with MM and 37 healthy controls matched for age and sex from 2016 to 2017 collected at the First Affiliated Hospital of Soochow University. The relative standard deviation (RSD) of quality control (QC) samples was employed to validate the reproducibility of GC-MS approach. The differential metabolites between patients with MM and healthy controls were detected by partial least squares discrimination analysis (PLS-DA), and t-test with false discovery rate (FDR) correction. Metabolomics pathway analysis (MetPA) was employed to construct metabolic pathways. Results: There were 55 MM patients, including 34 males and 21 females. The median age was 60 years old (42-73 years old). There were 30 cases of IgG type, 9 cases of IgA type, 1 case of IgM type, 2 cases of non-secreted type, 1 case of double clone type and 12 cases of light chain type, including 3 cases of kappa light chain type and 9 cases of lambda light chain type. The result of QC sample test showed that the proportion of compounds with the RSD of the relative content of metabolites < 15% was 70.21% obtained by the reproducibility of GC-MS experimental data, which implied that the experimental data were reliable. A total of 17 metabolites were screened differently with the healthy control group, including myristic acid, hydroxyproline, cysteine, palmitic acid, L-leucine, stearic acid, methionine, phenylalanine, glycerin, serine, isoleucine, tyrosine, valine, citric acid, inositol, threonine, and oxalic acid (VIP>1, P<0.05). Metabolic pathway analysis suggested that metabolic disorders in MM patients comprised mainly phenylalanine metabolism, glyoxylic acid and dicarboxylic acid metabolism, phosphoinositide metabolism, cysteine and methionine metabolism, glycerolipid metabolism, glycine, serine, and threonine metabolism. Conclusion: Compared with normal people, patients with newly diagnosed MM have obvious differences in metabolic profiles and metabolic pathways.

Metabolomics approach: Interpretation of changes in rat plasma metabolites after solifenacin treatment

Abstract Changes in metabolite levels of patients using the long-term drug can be comprehensively demonstrated by pharmacometabolomic studies. In this study, biological alterations induced by the administration of solifenacin succinate were investigated with a pharmacometabolomics approach on rat metabolism. Plasma samples obtained from rats were analyzed by LC-Q- TOF/MS/MS. METLIN and HMDB databases were used to identify metabolites. Data were processed and classified with MATLAB 2017b. 53 m/z values were found to be significantly different between the drug and control groups (p ≤ 0.01 and fold analysis > 1.5) and identified by comparing METLIN and HMDB databases. According to multivariate data analysis, changes in arachidonic acid, thromboxane A2, palmitic acid, choline, calcitriol, histamine phosphate, retinyl ester, l-cysteine, l-leucine, beta-alanine, l-histidine levels were found to be statistically significant compare to the control group. Differences in the biosynthesis of phenylalanine, aminoacyl-tRNA, tyrosine, tryptophan, metabolism of glycerophospholipid, cysteine, methionine, histidine, arachidonic metabolism have been successfully demonstrated by the metabolomics approach. Our study provides important information to explain the efficacy and toxicity of chronic administration of solifenacin succinate

Metaboloma use in ophthalmology / Uso de metaboloma em oftalmologia: uma revisão narrativa

ABSTRACT It is part of the omic sciences to search for an understanding of how the cellular system of organisms works as well as studying their biological changes. As part of the omic sciences, we can highlight the genomics whose function is the study of genes, the transcriptomics that studies the changes in the transcripts, the proteomics responsible for understanding the changes that occur in proteins, and the metabolomics that studies all the metabolic changes that occur in a certain system when it is submitted to different types of stimuli. Metabolomics is the science that studies the endogenous and exogenous metabolites in biological systems, which aims to provide comparative quantitative or semi-quantitative information about all metabolites in the system. This review aims to describe the main applications of metabolomics science in ophthalmolog. We searched the literature on main applications of metabolomics science in ophthalmology, using the MEDLINE and LILACS databases, with the keywords "metabolomics" and "ophthalmology", from January 1, 2009, to April 5, 2021. We retrieved 216 references, of which 58 were considered eligible for intensive review and critical analysis. The study of the metabolome allows a better understanding of the metabolism of ocular tissues. The results are important to aid diagnosis and as predictors of the progression of many eye and systemic diseases.

RESUMO Faz parte das ciências ômicas buscar entender como funciona o sistema celular dos organismos e estudar suas alterações biológicas. Como parte das ciências ômicas, destacam-se a genômica, cuja função é o estudo dos genes; a transcriptômica, que estuda as mudanças nos transcritos; a proteômica, responsável por entender as mudanças que ocorrem nas proteínas, e a metabolômica, que estuda todo o metabolismo das alterações que ocorrem em um determinado sistema quando ele é submetido a diferentes tipos de estímulos. A metabolômica é a ciência que estuda os metabólitos endógenos e exógenos em sistemas biológicos, visando fornecer informações comparativas quantitativas ou semiquantitativas sobre todos os metabólitos do sistema. Esta revisão teve como objetivo descrever as principais aplicações da ciência metabolômica na oftalmologia. Trata-se de revisão narrativa desenvolvida por um grupo de pesquisa da Universidade Federal de São Paulo, em São Paulo (SP). Buscaram-se, na literatura, as principais aplicações da ciência metabolômica em oftalmologia, utilizando as bases de dados Medline® e Lilacs, com as palavras-chave "metabolomics" e "oftalmologia", de 1º de janeiro de 2009 a 5 de abril de 2021. Foram recuperadas 216 referências, das quais 58 foram consideradas elegíveis para revisão intensiva e análise crítica. O estudo do metaboloma permite um melhor entendimento do metabolismo dos tecidos oculares. Os resultados são importantes para auxiliar no diagnóstico e como preditores da progressão de muitas doenças oculares e sistêmicas.

Urine metabolomics study of hepatocellular carcinoma / 中华肿瘤杂志

Objective: To investigate the urinary small molecular metabolites and their metabolic characteristics of patients with hepatocellular carcinoma (HCC). Methods: High throughput ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS) was used to detect the small molecular metabolites in urine of healthy control (n=10), patients with hepatic hemangioma (n=10) and patients with HCC (n=10). The orthogonal projections to latent structures-discriminant analysis (OPLS-DA), hierarchical cluster analysis of multivariate analysis and univariate analysis were used to analyze the differential metabolites of the three groups. Results: The metabolic profiles of the three groups showed that the total of 381 differential metabolites were identified and divided into 96 up-regulated metabolites and 285 down-regulated metabolites. There were 55 urinary metabolites specifically related to HCC. Twenty-one of them were significantly up-regulated, including Acetyl-DL-Leucine, Ala Asp, HoPhe-Gly-OH, while 34 were significantly down-regulated, including Selenocystathionine, Met Trp Met Cys, Valsartan acid and so on. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that the differential metabolites were mainly enriched in glutamine/glutamate metabolism, lysine biosynthesis, tricarboxylic acid cycle and purine metabolism. Conclusions: The occurrence of HCC is accompanied by the abnormalities of multiple metabolites and metabolic pathways. The analysis of the characteristic metabolic profile of urine in patients with HCC is helpful to find metabolic markers and potential therapeutic targets for liver cancer.

Sleep-improving mechanism of Chaiqin Ningshen Granules in insomnia rats: based on hippocampal metabonomics / 中国中药杂志

With the ultra high performance liquid chromatography-quadruple-electrostatic field orbitrap high resolution mass spectrometry(UHPLC-Q Exactive Orbitrap-MS)-based metabonomics technology, this study aims to analyze the effect of Chaiqin Ningshen Granules(CNG) on endogenous metabolites in insomnia rats of liver depression syndrome and explore the sleep-improving mechanism of this prescription. Parachlorophenylalanine(PCPA, ip) and chronic stimulation were combined to induce insomnia of liver depression pattern in rats, and the effect of CNG on the macroscopic signs, hemorheology, and neurotransmitters in the hippocampus of insomnia rats of liver depression syndrome was observed. After the administration, rat hippocampus was collected for liquid chromatography-mass spectrometry(LC-MS) analysis of the metabolomics. Principal component analysis(PCA), partial least squares discriminant analysis(PLS-DA), and orthogonal partial least squares discriminant analysis(OPLS-DA) were employed for analyzing the metabolites in rat hippocampus and screening potential biomarkers. MetPA was used to yield the related metabolic pathways and metabolic networks. The results show that the drugs can significantly improve the mental state, liver depression, and blood stasis of rats, significantly increase the content of 5-hydroxytryptamine(5-HT) and gamma aminobutyric acid(GABA) in hippocampus(except low-dose CNG), and significantly reduce the content of glucose(Glu)(except low-dose CNG). Among them, estazolam and high-dose CNG had better effect than others. Metabolomics analysis yielded 27 potential biomarkers related to insomnia. MetPA analysis showed 4 metabolic pathways of estazolam in intervening insomnia and 3 metabolic pathways of high-dose CNG in intervening insomnia, involving purine metabolism, glycerophospholipid metabolism, histidine metabolism, and caffeine metabolism. CNG can alleviate insomnia by regulating endogenous differential metabolites and further related metabolic pathways. The result lays a basis for further elucidating the mechanism of CNG in improving sleep.

Serum metabolomics of chronic obstructive pulmonary disease with lung-Qi deficiency syndrome / 中国中药杂志

The present study analyzed the potential biomarkers of chronic obstructive pulmonary disease(COPD) with lung-Qi deficiency syndrome by non-targeted metabolomics and explored the biological basis of this syndrome. Blood samples of 96 COPD patients with lung-Qi deficiency syndrome(COPD with lung-Qi deficiency syndrome group) and 106 healthy people(healthy control group) were collected, and the metabolic profiles of both groups were analyzed by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF-MS). Multivariate statistical analysis and differential metabolite screening were carried out by using Progenesis QI and Simca-P. Metabolic pathways were constructed through the MetaboAnalyst. Seven potential biomarkers, such as L-cystathionine, protoporphyrinogen Ⅸ, and citalopram aldehyde, were identified. Compared with the results in the healthy control group, the content of citalopram aldehyde, N1-methyl-2-pyridone-5-carboxamide, and 11β,17β-dihydroxy-4-androsten-3-one was significantly up-regulated, while that of the other four compounds such as L-cystathionine, dihydrotestosterone, protoporphyrinogen Ⅸ, and D-urobilinogen was down-regulated. These potential biomarkers involved six metabolic pathways, including cysteine and methionine metabolism, porphyrin and chlorophyll metabolism, drug metabolism of cytochrome P450, steroid hormone biosynthesis, glycine, serine, and threonine metabolism, and nicotinate and nicotinamide meta-bolism. This study is expected to provide a certain scientific basis for the research on traditional Chinese medicine syndrome of COPD with lung-Qi deficiency syndrome from the molecular biology level.

Metabonomic study of biochemical changes in serum of PCPA-induced insomnia rats after treatment with Suanzaoren Decoction / 中国中药杂志

Suanzaoren Decoction(SZRD) is a classical formula for the clinical treatment of insomnia. This study analyzed the effect of SZRD on endogenous metabolites in insomnia rats based on metabonomics and thereby explored the anti-insomnia mechanism of SZRD. To be specific, DL-4-chlorophenylalanine(PCPA) was used to induce insomnia in rats. Then pathological changes of the liver and brain were observed and biochemical indexes such as 5-hydroxytryptamine(5-HT), dopamine(DA), glutamate(Glu), γ-aminobutyric acid(GABA), and norepinephrine(NE) in the hippocampus and prostaglandin D2(PGD2), tumor necrosis factor-α(TNF-α), interleukin-1β(IL-1β), and IL-6 in the serum of rats were detected. On this basis, the effect of SZRD on PCPA-induced insomnia rats was preliminarily assessed. The metabolic profile of rat serum samples was further analyzed by ultra-performance liquid chromatography-quadrupole-time of flight-tandem mass spectrometry(UPLC-Q-TOF-MS/MS). Principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) were combined with t-test and variable importance in projection(VIP) to identify differential metabolites, and MetaboAnalyst 5.0 was employed for pathway analysis. The results showed that SZRD could improve the pathological changes of brain and liver tissues, increase the levels of neurotransmitters 5-HT, DA, and GABA in hippocampus and the level of PGD2 in hypothalamic-pituitary-adrenal axis(HPA axis), and reduce the levels of IL-1β and TNF-α in serum of insomnia rats. Metabonomics analysis yielded 12 significantly changed potential metabolites: 5-aminovaleric acid, N-acetylvaline, L-proline, L-glutamate, L-valine, DL-norvaline, D(-)-arginine, pyroglutamic acid, 1-methylguanine, L-isoleucine, 7-ethoxy-4-methylcoumarin, and phthalic acid mono-2-ethylhexyl ester(MEHP), which were related with multiple biochemical processes including metabolism of D-glutamine and D-glutamate, metabolism of alanine, aspartate, and glutamate, metabolism of arginine and proline, arginine biosynthesis, glutathione metabolism. These metabolic changes indicated that SZRD can improve the metabolism in insomnia rats by regulating amino acid metabolism.

Twenty years in the 21st century: research approaches and techniques in modern system biology for mechanisms of Chinese medicinal processing / 中国中药杂志

Clarifying the mechanisms of Chinese medicinal processing is pivotal to the modernization of Chinese medicine. Research on Chinese medicinal processing gives priority to the mechanisms of the processing in enhancing efficacy, reducing toxicity, and repurposing medicinals. During the past 20 years, scholars have carried out in-depth studies on the mechanisms of Chinese medicinal processing via modern system biology. They mainly focused on the changes of medicinal properties and efficacy caused by processing using techniques of modern pharmacology and molecular biology, spectrum-efficacy correlation, and biophoton emission. However, these techniques fail to reflect the holistic view of traditional Chinese medicine. With the introduction of system biology, multi-omics techno-logies(genomics, transcriptomics, proteomics, and metabolomics) have surged, which have been applied to the research on the mec-hanisms of Chinese medicinal processing. These multi-omics technologies have advantages in the research on holism. This study aims to summarize the research techniques and approaches in system biology for mechanisms of Chinese medicinal processing in the past 20 years and analyze the limitations and advantages of them. It is concluded that the multi-omics techniques of system biology can reconstruct the mechanisms of Chinese medicinal processing. This study provides a new direction for further research on the mechanisms of Chinese medicinal processing.

Metabonomics and its application in Chinese medicine processing / 中国中药杂志

Chinese medicine processing is a procedure to process medicinal materials under the guidance of traditional Chinese medicine(TCM) theories by using unique methods in China. The medicinal materials can only be used clinically after proper processing. With the development of the modernization of TCM, it is difficult to solve the problems in the inheritance, development, and internationalization of Chinese medicine processing. Metabonomics, a new omics technology developed at the end of the last century, is used to infer the physiological or pathological conditions of the organism with the methods such as NMR and LC-MS via investigating the changes in endogenous small molecule metabolic network after the organism is stimulated by external environment. Metabonomics coincides with the holistic view of TCM because it displays the characteristics of integrity, comprehensiveness, and dynamics, and it has been widely applied in the field of Chinese medicine processing in recent years. This study summarized the application of metabonomics in the processing mechanism and quality control of Chinese medicine processing and prospected the development of this technology in the field of Chinese medicine processing.

Metabolomics analysis reveals the renal protective effect of Panax ginseng C. A. Mey in type 1 diabetic rats / 中国天然药物

The dry root and rhizome of Panax ginseng C. A. Mey has garnered much interest owing to its medicinal properties against diabetes and cardiovascular diseases. In this study, an ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS)-based metabolomics approach was used to illustrate the therapeutic mechanisms of ginseng extract on the serum and urinary metabolic profiles in streptozotocin-induced type 1 diabetes mellitus (T1DM) rats. Pharmacological and renal parameters in response to the administration of ginseng were also evaluated. In total, 16 serum endogenous metabolites and 14 urine endogenous metabolites, including pyruvic acid, indoleacetic acid, and phenylacetylglycine, were identified as potential biomarkers for diabetes. Pathway enrichment and network analysis revealed that the biomarkers modulated by ginseng were primarily involved in phenylalanine and pyruvate metabolism, as well as in arginine biosynthesis. Moreover, the levels of several renal injury-related biomarkers in T1DM rats were significantly restored following treatment with ginseng. The administration of the extract helped maintain tissue structure integrity and ameliorated renal injury. The findings suggest that the regulatory effect of ginseng extract on T1DM involves metabolic management of diabetic rats, which subsequently attenuates T1DM-induced early renal dysfunction.

Decreased plasmatic spermidine and increased spermine in mild cognitive impairment and Alzheimer's disease patients

Abstract Background Current evidence suggests that upregulation of polyamines system plays a role both in cognitive deficit and synaptic loss observed in Alzheimer's disease (AD). Objective The aim of this study was to determine the plasmatic concentration of polyamines in mild cognitive impairment (MCI) and AD patients in comparison with healthy controls (HC). Methods Plasmatic polyamines were quantified using the AbsoluteIDQ® p180 and liquid chromatography coupled to tandem mass spectrometry (LC/MS-MS). Results The study group comprised 34 AD patients, 20 MCI and 25 HC. All individuals were followed for 4 years. During this period 8 amnestic MCI patients (40% of the MCI sample at baseline) converted to AD. Spermidine level was lower in both patient groups (AD; MCI) compared to HC (p = 0.007). Plasma levels of spermine were higher in the MCI group (p < 0.001), but decreased in the sub-sample of MCI patients who converted to AD (p = 0.043). No statistically significant differences were found in ornithine and putrescine levels (p = 0.056 and p = 0.126, respectively). Discussion Our results suggest dynamic changes in the expression of polyamines in the MCI-AD continuum.

The metabolomics signature associated with responsiveness to steroid therapy in focal segmental glomerulosclerosis: a pilot study

Abstract Background Focal segmental glomerulosclerosis (FSGS) is considered one of the most severe glomerular diseases and around 80% of cases are resistant to steroid treatment. Since a large proportion of steroid-resistant (SR) FSGS patients progress to end-stage renal disease, other therapeutic strategies may benefit this population. However, identification of non-invasive biomarkers to predict this high-risk population is needed. Objective We aimed to identify the biomarker candidates to distinguish SR from steroid-sensitive (SS) patients using metabolomics approach and to identify the possible molecular mechanism of resistance. Methods Urine was collected from biopsy-proven FSGS patients eligible for monotherapy with prednisolone. Patients were followed for 6-8 weeks and categorized as SS or SR. Metabolite profile of urine samples was analyzed by one-dimensional 1H-nuclear magnetic resonance (1H-NMR). Predictive biomarker candidates and their diagnostic importance impaired molecular pathways in SR patients, and the common target molecules between biomarker candidates and drug were predicted. Results Homovanillic acid, 4-methylcatechol, and tyrosine were suggested as the significant predictive biomarker candidates, while L-3,4-dihydroxyphenylalanine, norepinephrine, and gentisic acid had high accuracy as well. Tyrosine metabolism was the most important pathway that is perturbed in SR patients. Common targets of the action of biomarker candidates and prednisolone were molecules that contributed in apoptosis. Conclusion Urine metabolites including homovanillic acid, 4-methylcatechol, and tyrosine may serve as potential non-invasive predictive biomarkers for evaluating the responsiveness of FSGS patients.

Metabolomics applied to maternal and perinatal health: a review of new frontiers with a translation potential

The prediction or early diagnosis of maternal complications is challenging mostly because the main conditions, such as preeclampsia, preterm birth, fetal growth restriction, and gestational diabetes mellitus, are complex syndromes with multiple underlying mechanisms related to their occurrence. Limited advances in maternal and perinatal health in recent decades with respect to preventing these disorders have led to new approaches, and "omics" sciences have emerged as a potential field to be explored. Metabolomics is the study of a set of metabolites in a given sample and can represent the metabolic functioning of a cell, tissue or organism. Metabolomics has some advantages over genomics, transcriptomics, and proteomics, as metabolites are the final result of the interactions of genes, RNAs and proteins. Considering the recent "boom" in metabolomic studies and their importance in the research agenda, we here review the topic, explaining the rationale and theory of the metabolomic approach in different areas of maternal and perinatal health research for clinical practitioners. We also demonstrate the main exploratory studies of these maternal complications, commenting on their promising findings. The potential translational application of metabolomic studies, especially for the identification of predictive biomarkers, is supported by the current findings, although they require external validation in larger datasets and with alternative methodologies.

Study on Urinary Metabolic Profile in Rats with Deep Venous Thrombosis Based on Pattern Recognition / 法医学杂志

OBJECTIVES@#To study the urinary metabolic profile in rats with deep venous thrombosis （DVT） based on metabolomics and to screen out small molecular biomarkers for the diagnosis and forensic identification of DVT.@*METHODS@#Inferior vena cava of rats was ligated to construct DVT models. The rats were randomly divided into three groups： DVT, sham, and control groups, 10 in each group. The urine of DVT and sham rats was collected during 24 hours in the metabolic cage at 48 hours after operating, meanwhile, 24 hours urine was collected in control group. The metabolic profile was analyzed by nuclear magnetic resonance. SIMCA-P 14.1 software was used for pattern recognition. The variable importance in projection （VIP） value from orthogonal PLS-DA （OPLS-DA） model combined with Mann-Whitney U test were used to search the different metabolites in the urine.@*RESULTS@#The metabolic profiles of urine from DVT, sham, and control groups had significant differences. The DVT, sham, and control groups could be distinguished by the partial least squares method-discriminant analysis （PLS-DA） model. Compared with the urine of the rats in control groups, the levels of leucine, glutamine, creatine, creatinine and sucrose in the urine of DVT rats were up-regulated, and the levels of 3-hydroxybutyrate, lactate, acetone, α-oxoglutarate, citrate and hippurate were down-regulated.@*CONCLUSIONS@#The different metabolites in the urine of DVT rats are expected to become its candidate biomarkers. The results can provide a research basis for the diagnosis, treatment and forensic identification of DVT.

NMR-based metabolomics to select a surgical method for treating papillary thyroid carcinoma

OBJECTIVE: This study aims to investigate differences in the metabolomic profiles of patients who received different surgeries for papillary thyroid carcinoma (PTC). METHODS: Two surgical methods, i.e., unilateral and total thyroidectomy, were employed according to different disease conditions. Sera from patients who were treated with levothyroxine sodium tablets before and after surgery was analyzed with a Bruker 500 Hz nuclear magnetic resonance (NMR) spectrometer. Data were analyzed via principal component analysis (PCA) and partial least squares discriminate analysis (PLS-DA) with SIMCA-P+ 11.0 software, and metabolites were obtained and compared. The first and second principal components were selected from PCA, PLS-DA, and orthogonal partial least squares discriminate analysis (OPLS-DA). A p-value less than 0.05 was considered statistically significant. RESULTS: There were significant differences in serum metabolomics before and after surgery. Compared with unilateral thyroidectomy, total thyroidectomy reversed some highly increased metabolite levels (e.g., taurine and betaine). More significant variations in abnormal metabolites were noted after total thyroidectomy than after unilateral thyroidectomy (e.g., alanine, choline, hippurate, and formic acid). CONCLUSIONS: The choice of surgical method for PTC patients should be based not only on the tumor condition but also on the potential consequences of metabolic variations. Total thyroidectomy reversed some increased metabolite levels but led to accumulation of some other metabolites due to the loss of thyroid function; thus, metabolic disturbances caused by thyroid hormone deficiency should be prevented in advance.