Metabolomics of nasal lavage fluid in patients with allergic rhinitis treated by Xiaoqinglong Decoction / 中国中药杂志

This study used nasal lavage fluid for metabolomics to explore its feasibility, and applied it to the clinical metabolomics study of Xiaoqinglong Decoction in the treatment of allergic rhinitis(AR), aiming to investigate the molecular mechanism of Xiaoqing-long Decoction in the treatment of AR through differential changes in local nasal metabolism. AR patients were selected as the research subjects, and nasal lavage fluid was collected as the sample. Metabolomics analysis using liquid chromatography-mass spectrometry was performed on normal group, AR group, and Xiaoqinglong Decoction group. The differences in metabolic profiles among the groups were compared using principal component analysis and partial least squares discriminant analysis, and differential metabolites were identified and subjected to corresponding metabolic pathway analysis. The results showed that Xiaoqinglong Decoction significantly improved the symptoms of AR patients. The metabolomics analysis revealed 20 differential metabolites between AR group and Xiaoqinglong Decoction group. The core metabolite with a trending return in comparison to normal group was trimethyladipic acid. The metabolites were involved in multiple pathways, including β-alanine metabolism, glutathione metabolism, and phenylalanine, tyrosine, and tryptophan biosynthesis. The feasibility of applying nasal lavage fluid in nasal metabolomics was preliminarily demonstrated. Differential metabolites and enriched pathways in the treatment of AR patients with Xiaoqinglong Decoction were identified, indicating that it may improve rhinitis symptoms through the regulation of various metabolites, including antioxidant effects and correction of Th1/Th2 imbalance.

Transcriptional regulation mechanism of differential accumulation of flavonoids in leaves and roots of Sarcandra glabra based on metabonomics and transcriptomics / 中国中药杂志

This study aims to explore the molecular regulation mechanism of the differential accumulation of flavonoids in the leaves and roots of Sarcandra glabra. Liquid chromatography-mass spectrometry(LC-MS) and high-throughput transcriptome sequencing(RNA-seq) were employed to screen out the flavonoid-related differential metabolites and differentially expressed genes(DEGs) encoding key metabolic enzymes. Eight DEGs were randomly selected for qRT-PCR verification. The results showed that a total of 37 flavonoid-related differential metabolites between the leaves and roots of S. glabra were obtained, including pinocembrin, phlorizin, na-ringenin, kaempferol, leucocyanidin, and 5-O-caffeoylshikimic acid. The transcriptome analysis predicted 36 DEGs associated with flavonoids in the leaves and roots of S. glabra, including 2 genes in the PAL pathway, 3 genes in the 4CL pathway, 2 genes in the CHS pathway, 4 genes in the CHI pathway, 2 genes in the FLS pathway, 1 gene in the DFR pathway, 1 gene in the CYP73A pathway, 1 gene in the CYP75B1 pathway, 3 genes in the PGT1 pathway, 6 genes in the HCT pathway, 2 genes in the C3'H pathway, 1 gene in the CCOAOMT pathway, 1 gene in the ANR pathway, 1 gene in the LAR pathway, 2 genes in the 3AT pathway, 1 gene in the BZ1 pathway, 2 genes in the IFTM7 pathway, and 1 gene in the CYP81E9 pathway. Six transcription factors, including C2H2, bHLH, and bZIP, were involved in regulating the differential accumulation of flavonoids in the leaves and roots of S. glabra. The qRT-PCR results showed that the up-or down-regulated expression of the 8 randomly selected enzyme genes involved in flavonoid synthesis in the leaves and roots of S. glabra was consistent with the transcriptome sequencing results. This study preliminarily analyzed the transcriptional regulation mechanism of differential accumulation of flavonoids in the leaves and roots of S. glabra, laying a foundation for further elucidating the regulatory effects of key enzyme genes and corresponding transcription factors on the accumulation of flavonoids in S. glabra.

Urine metabolomics study of intervention of Xihuang Pills in rats with hyperplasia of mammary gland / 中国中药杂志

This study aimed to investigate the mechanism of Xihuang Pills in improving hyperplasia of mammary gland(HMG) in rats based on urine metabolomics using ultra-performance liquid chromatography-quadrupole-Orbitrap mass spectrometry(UPLC-Q-Orbitrap-MS). The HMG rat model was established by intramuscular injection of estradiol benzoate solution(0.5 mg·kg~(-1), 25 days) followed by progesterone injection(5 mg·kg~(-1), 5 days). UPLC-Q-Orbitrap-MS technology was used to establish the endogenous small-molecule metabolic profiles in urine samples of rats in the blank group, the HMG model group, and Xihuang Pills group. Multivariate statistical analysis was performed for pattern recognition, t test and variable importance in the projection(VIP) were used to screen potential biomarkers. The significantly changed differential metabolites were identified using the online database Human Metabolome Database(HMDB). Metabolic pathway enrichment analysis was conducted using the MetaboAnalyst 5.0 database. The results showed that 90 differential metabolites with significant changes(P<0.05) were identified between the blank group and the HMG model group using the HMDB. Among them, 48 metabolites significantly reverted(P<0.05) after administration of Xihuang Pills, which may be related to the regulatory effect of Xihuang Pills. Thirteen metabolic pathways significantly associated with HMG were identified when the differential metabolites were imported into the MetaboAnalyst 5.0 database, and Xihuang Pills could modulate seven of these pathways. These metabolic pathways mainly involved histidine metabolism, arginine and proline metabolism, β-alanine metabolism, glycine, serine and threonine metabolism, tryptophan metabolism, pyrimidine metabolism, and amino sugar and nucleotide sugar metabolism. This study utilized UPLC-Q-Orbitrap-MS and urine metabolomics technology to analyze the mechanism of Xihuang Pills in improving HMG, laying the foundation for further in-depth research.

Mechanism of Learning and Memory Impairment in Rats Exposed to Arsenic and/or Fluoride Based on Microbiome and Metabolome / 生物医学与环境科学（英文）

OBJECTIVE@#Arsenic (As) and fluoride (F) are two of the most common elements contaminating groundwater resources. A growing number of studies have found that As and F can cause neurotoxicity in infants and children, leading to cognitive, learning, and memory impairments. However, early biomarkers of learning and memory impairment induced by As and/or F remain unclear. In the present study, the mechanisms by which As and/or F cause learning memory impairment are explored at the multi-omics level (microbiome and metabolome).@*METHODS@#We stablished an SD rats model exposed to arsenic and/or fluoride from intrauterine to adult period.@*RESULTS@#Arsenic and/fluoride exposed groups showed reduced neurobehavioral performance and lesions in the hippocampal CA1 region. 16S rRNA gene sequencing revealed that As and/or F exposure significantly altered the composition and diversity of the gut microbiome，featuring the Lachnospiraceae_NK4A136_group, Ruminococcus_1, Prevotellaceae_NK3B31_group, [Eubacterium]_xylanophilum_group. Metabolome analysis showed that As and/or F-induced learning and memory impairment may be related to tryptophan, lipoic acid, glutamate, gamma-aminobutyric acidergic (GABAergic) synapse, and arachidonic acid (AA) metabolism. The gut microbiota, metabolites, and learning memory indicators were significantly correlated.@*CONCLUSION@#Learning memory impairment triggered by As and/or F exposure may be mediated by different gut microbes and their associated metabolites.

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.

Impacto de la cuarentena por COVID-19 en el perfil metabólico de personas con infección por VIH en Argentina / Impact of COVID-19 related lockdown on the metabolic profile of people with HIV infection in Argentina

INTRODUCCIÓN: Para mitigar la propagación del SARS-CoV-2 se requirió de un confinamiento generalizado. Las autoridades argentinas impusieron aislamiento social preventivo durante 234 días (20 de marzo al 9 de noviembre de 2020), modificando el estilo de vida de la población. OBJETIVOS: Examinar la influencia de las medidas de bloqueo en el perfil metabólico de pacientes infectados por VIH en Argentina. PACIENTES Y MÉTODOS: Estudio de cohorte retrospectivo de 10.239 pacientes en seguimiento en una clínica de atención privada de personas con infección por VIH. Se incluyeron pacientes adultos con terapia antirretroviral (TARV) en curso que tuvieran una determinación de glucemia, colesterol total, colesterol HDL y trigliceridemia antes de la cuarentena (Pre-C: segundo semestre 2019) y una segunda determinación durante la misma (Intra-C: mayo 2020). Se excluyeron los pacientes con cambios en la TARV con impacto metabólico, los que iniciaron o suspendieron hipolipemiantes o hipoglucemiantes y mujeres embarazadas. Las variables categóricas se compararon mediante la prueba de la χ2 o la prueba exacta de Fisher y las continuas mediante la prueba t o la prueba de Mann-Whitney según correspondiera. Se consideró significativo un valor de p a dos colas < 0,05. RESULTADOS: Se incluyeron 540 individuos. La mediana de edad fue de 47 años y 74,6% fueron de sexo masculino. La mediana de índice de masa corporal fue 26,1 y 94,6% tenían bajo riesgo cardiovascular. Hubo un aumento significativo en el porcentaje de pacientes con hiperglucemia (Pre-C 5,2% vs Intra-C 8,5%, p 0,04), hipertrigliceridemia (Pre-C 33,9% vs Intra-C 40,7%, p 0,02) e hipercolesterolemia LDL (Pre-C 12,6% vs Intra-C 17,2%, p 0,04). CONCLUSIÓN: Nuestros resultados sugieren que la cuarentena, al menos en sus fases iniciales, puede tener un impacto negativo en el perfil metabólico de esta población.

BACKGROUND: The spread of SARS-CoV-2 required widespread lockdown to mitigate the pandemic. Argentine authorities imposed preventive social isolation for 234 days (March 20th to November 9th 2020). This measure led to major changes in the population's lifestyle. AIM: To examine the influence of COVID-19 lockdown measures on the metabolic profile of HIV-infected patients in Argentina. METHODS: Retrospective cohort study of 10,239 HIV-infected patients under follow up in a private clinic for HIV care. Adult patients with ongoing antiretroviral therapy (ART) and a baseline determination of blood glucose, total cholesterol, HDL-cholesterol and triglycerides done before lockdown (BL: second semester of 2019) and a second determination during lockdown (DL: May 2020) were included. Patients with recent changes in ART that may have metabolic impact, those starting lipid/glucose lowering agents and pregnant women were excluded. Categorical variables were compared using the χ2 test or Fisher's exact test, and continuous variables using the t-test or the Mann-Whitney test. A two-tailed value of p < 0.05 was considered significant. RESULTS: 540 individuals were included, median of age was 47 years and 74.6% were male. Median body mass index was 26.1 and 94.6% had low cardiovascular risk. There was a significant increase in the percentage of patients that met criteria for hyperglycemia (BL 4.8% and DL 8.5%, p < 0.001). We also observed significant (p < 0.001) increase in median (IQR) BL vs DL values in LDL-cholesterol [109 (90-128) vs 118 (97-139) mg/dL]; and triglycerides [120 (87-172) vs. 132 mg/dL (96-184)]. The proportion of patients with hyper-LDL cholesterolemia according to individual cardiovascular risk increased from 12.6 to 17.2% (p = 0.04). CONCLUSION: Our results suggest that quarantine, at least in its initial phases, may have a negative impact on the metabolic profile of this population.

Viscumalbum L. homeopathic mother tinctures: metabolome and antitumor activity

Viscum album L. is a semi-parasitic plant with antitumor activity attributed to theaqueous extracts. However, European V. album ethanolic extracts (VAE) have also demonstrated invitro activity in tumor models. Aims: Evaluate the metabolic profiles of fifty VAE harvested duringsummer and winter seasons and their antitumor activity through 2D and 3D models. Methodology:VAEwerepreparedbymacerationfrom:V.albumsubsp.albumgrowingonMalus domestica,Quercus sp.and Ulmus sp.; V. album subsp. austriacum from Pinus sylvestris; V. album subsp. abietis from Abies alba.Chemical analyses were performed through liquid chromatography coupled with high resolutionmass spectrometry and Partial Least Squares Discriminant Analysis (PLS-DA) was performed in theMetaboanalyst 4.0. The antitumor potential of the selected VAE was evaluated in 2D and 3D models(MDA-MB-231 cancer cells) by MTT, crystal violet and glycolytic pathway analysis. Results anddiscussion:Thefirst3principalcomponentsinPLS-DAexplained60%and40%ofdatavariationin positive andnegativemodesrespectively.Threegroupswereformedandshowedchemicalsimilarityamong V. album subspecies. The compounds responsible for group separation were tentativelyidentifiedas:pinobankasinornaringenin hexoside;isorhamnetin-3-hexoside,meglutolanddifferent aminoacids.ThesummerVAEat0.5%v/vinducedhighercytotoxicdamagethanthewinterpreparations, and Abies alba and Quercus sp. VAE promoted 49% and 42% reduction of tumorviability in 3D model (72h incubation), respectively. MDA-MB-231 glycolytic pathway in 2D modelshowed a decrease in the glucose consumption and extracellular lactate production. Also, PFK (6-phosphofructo-1-kinase)andPK(Pyruvatekinase)activitieswereinhibitedbyAbiesalbaandQuercus sp. VAE at 48h of incubation. Conclusion: VAE extracts showed different metabolomes andthe glycolytic pathway should be an important target involved in the inhibition of tumor growth bytheseextracts

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.

Metabolic profile during pregnancy in BRISA birth cohorts of Ribeirão Preto and São Luís, Brazil

During pregnancy, metabolic changes that develop in women may increase the risk of diseases and conditions that may also harm the life of the growing fetus. The aim of the present study was to identify and compare the metabolic profile (MP) during pregnancy in two birth cohorts in 2010 in the cities of Ribeirão Preto (RP) and São Luís (SL), Brazil. Pregnant women (1393 in RP and 1413 in SL) were studied; information was obtained through questionnaires in addition to anthropometric, biochemical, and blood pressure measurements. Data are presented as means and proportions. To compare the characteristics of pregnant women in both cities, chi-squared and Student's t-tests were applied, with 5% significance level. Ribeirão Preto presented higher mean values than SL for pre-gestational body mass index (24.5 vs 23 kg/m2, P<0.001), systolic (108.4 vs 102.8 mmHg, P<0.001) and diastolic (65.9 vs 61.8 mmHg, P<0.001) blood pressure, total cholesterol (226.3 vs 213.7 mg/dL, P<0.001) and fractions, and glycemia (84.5 vs 80.2 mg/dL, P<0.001), except for triglycerides (P=0.135). Women from RP also showed higher rates of pre-gestational overweight and obesity compared with SL (40.1 vs 25.8%). In the present study, pregnant women in RP had a worse gestational metabolic profile than those in SL, with higher pre-gestational excess weight, indicating that nutritional transition was more advanced in the more developed city.

Metabolomics Changes of Serum and Tissues in Mice Died of Acute Tetracaine Poisoning / 法医学杂志

Objective To study the changes of metabolites in serum and tissues （kidney, liver and heart） of mice died of acute tetracaine poisoning by metabolomics, to search for potential biomarkers and related metabolic pathways, and to provide new ideas for the identification of cause of death and research on toxicological mechanism of acute tetracaine poisoning. Methods Forty ICR mice were randomly divided into control group and acute tetracaine poisoning death group. The model of death from acute poisoning was established by intraperitoneal injection of tetracaine, and the metabolic profile of serum and tissues of mice was obtained by ultra-high performance liquid chromatography-electrostatic field orbitrap high resolution mass spectrometry （UPLC-Orbitrap HRMS）. Multivariate statistical principal component analysis （PCA） and orthogonal partial least square-discriminant analysis （OPLS-DA） were used, combined with t-test and fold change to identify the differential metabolites associated with death from acute tetracaine poisoning. Results Compared with the control group, the metabolic profiles of serum and tissues in the mice from acute tetracaine poisoning death group were significantly different. Eleven differential metabolites were identified in serum, including xanthine, spermine, 3-hydroxybutylamine, etc.; twenty-five differential metabolites were identified in liver, including adenylate, adenosine, citric acid, etc.; twelve differential metabolites were identified in heart, including hypoxanthine, guanine, guanosine, etc; four differential metabolites were identified in kidney, including taurochenodeoxycholic acid, 11, 12-epoxyeicosatrienoic acid, dimethylethanolamine and indole. Acute tetracaine poisoning mainly affected purine metabolism, tricarboxylic acid cycle, as well as metabolism of alanine, aspartic acid and glutamic acid. Conclusion The differential metabolites in serum and tissues of mice died of acute tetracaine poisoning are expected to be candidate biomarkers for this cause of death. The results can provide research basis for the mechanism and identification of acute tetracaine poisoning.

Research Progress on the Omics of Methamphetamine Toxic Damage and Addiction / 法医学杂志

The mechanism of methamphetamine toxicity and addiction is the key research direction of forensic toxicology, and the development of omics technology provides a new platform for further study of this direction. METH toxic damage and addiction are reflected differently in genes, ribonucleic acid (RNA) transcription, protein and metabolism. This article summarizes the achievements and shortcomings of multi-omics technologies such as genome, transcriptome, metabolome and proteome in the study of METH damage and addiction, and discusses the strategies and advantages of multi-omics combined analysis in the study of METH toxic damage and addiction mechanism, in order to provide more useful reference information for forensic toxicology of METH.

Application of UPLC-QTOF-MS in Analysis of Non-targeted Urine Metabolomics in Rats with Yunaconitine Poisoning / 法医学杂志

OBJECTIVES@#To explore the possible mechanism of Yunaconitine poisoning by studying the changes of urine metabolic profile in rats chronically poisoned by Yunaconitine via non-targeted metabolomics.@*METHODS@#A rat model of Yunaconitine poisoning was established, and a metabolomics method based on UPLC-QTOF-MS technology was used to obtain the urine metabolic profile. Principal component analysis (PCA), orthogonal projections to latent structures-discriminant analysis (OPLS-DA), variable importance in projection (VIP) value greater than 1, fold change (FC) value greater than 3 or less than 0.33 and P value less than 0.05 were used to screen potential biomarkers related to the toxicity of Yunaconitine. The metabolic pathway analysis was performed through the MetaboAnalyst website and pathological changes of related tissues were observed.@*RESULTS@#Sixteen potential biomarkers including L-isoleucine were screened, which mainly involved six metabolic pathways including the biosynthesis and degradation of valine, leucine and isoleucine, pentose and glucuronate interconversions, and propanoate metabolism, alanine, aspartate and glutamate metabolism, tyrosine metabolism. Pathological studies showed that rat toxic change in nervous system, liver and cardiac caused by Yunaconitine.@*CONCLUSIONS@#Yunaconitine may cause neurotoxicity, hepatotoxicity and cardiotoxicity by affecting amino acid and glucose metabolism.

Untargeted Metabolomic Profiling of Liver and Serum in Mouse during Normal Aging / 中国医学科学院学报

Objective To obtain the metabolome profiles in liver and serum of mice during normal aging. Methods The liver and serum samples of ten 2-month-old mice and ten 18-month-old C57BL/6J mice under physiological conditions were collected.Metabolites were identified and quantified by liquid chromatography-tandem mass spectrometry.The overall assessment,differential screening,and functional analysis were performed with the filtered high-quality data. Results In the negative-ion mode and positive-ion mode,242 and 399 metabolites were identified in the liver and 265 and 230 in serum,respectively.The difference of metabolome between young and old mice was moderate.The upregulated metabolites identified in aging liver were related to the metabolism of riboflavin,glucose,and arachidonic acid,while the downregulated ones were associated with the metabolism of pyrimidine,purine,glycerophospholipid,glutathione,and nicotinamide.Altered metabolites in serum during aging were involved in a variety of nucleic acid metabolism-related pathways,such as pyrimidine metabolism,purine metabolism,one carbon pool by folate,and amino sugar and nucleotide sugar metabolism. Conclusions The metabolome profiles of mouse liver and serum both revealed dysregulated nucleic acid metabolism pathways during normal aging.This study provides metabolome data for further research on aging-associated mechanism and may support the discovery of intervention methods for aging.

Analysis of apple postharment damage under high CO₂ concentration by transcriptome combined with metabolome / 生物工程学报

The environmental gas concentration affects the storage period and quality of fruits and vegetables. High concentration CO₂ treating for a long time will cause damage to fruits, However, the specific molecular mechanism is unclear. To analyze the mechanism of CO₂ injury in apple, high-throughput sequencing technology of Illumina Hiseq 4000 and non-targeted metabolism technology were used to analyze the transcriptome sequencing and metabolomics analysis of browning flesh tissue of damage fruit and normal pulp tissue of the control group. A total of 6 332 differentially expressed genes were obtained, including 4 187 up-regulated genes and 2 145 down regulated genes. Functional analysis of the differentially expressed genes confirmed that the occurrence of CO₂ injury in apple was related to redox process, lipid metabolism, hormone signal transduction process and energy metabolism process. Twenty candidate browning genes were successfully screened, among which grxcr1 (md14g1137800) and gpx (md06g1081300) participated in the reactive oxygen species scavenging process, and pld1_ 2 (md15g1125000) and plcd (md07g1221900) participated in phospholipid acid synthesis and affected membrane metabolism. mdh1 (md05g1238800) participated in TCA cycle and affected energy metabolism. A total of 77 differential metabolites were obtained by metabolomic analysis, mainly organic acids, lipids, sugars and polyketones, including 35 metabolites related to browning. The metabolism of flavonoids was involved in the browning process of apple. Compared with the control tissue, the content of flavonoids such as catechin and quercetin decreased significantly in the damaged apple tissue, the antioxidant capacity of cells decreased, the redox state was unbalanced, and the cell structure was destroyed, resulting in browning. The results of this study further enrich the theoretical basis of CO₂ damage, and provide reference for the practical application of high concentration CO₂ preservation technology.

Transcriptome sequencing and metabolome analysis reveal the mechanism of Shuanghua Baihe Tablet in the treatment of oral mucositis / 中国天然药物

Oral mucositis (OM) caused by cancer therapy is the most common adverse reaction in the radiotherapy of head and neck tumors. In severe cases, it can lead to the interruption of treatment, which affects the control of the disease and the quality of life. Shuanghua Baihe Tablet (SBT) is a traditional Chinese medicine (TCM) formula, which is administerd to treat OM in China. It has been clinically effective for more than 30 years, but the underlying mechanism is not completely understood. With the development of multiple omics, it is possible to explore the mechanism of Chinese herbal compound prescriptions. Based on transcriptomics and metabolomics, we explored the underlying mechanism of SBT in the treatment of OM. An OM model of rats was established by 5-FU induction, and SBT was orally administered at dosages of 0.75 and 3 g·kg

Analysis of metabolic profile and genetic variants for newborns with primary carnitine deficiency from Guangxi / 中华医学遗传学杂志

OBJECTIVE@#To analyze the metabolic profile and genetic variants for newborns with primary carnitine deficiency (PCD) from Guangxi, China.@*METHODS@#From January 2014 to December 2019, 400 575 newborns from the jurisdiction of Guangxi Zhuang Autonomous Region Newborn Screening Center were subjected to tandem mass spectrometry (MS/MS) analysis. Newborns with positive results for PCD and their mothers were recalled for retesting. Those who were still positive were subjected to sequencing of the SLC22A5 gene.@*RESULTS@#Twenty-two newborns and 9 mothers were diagnosed with PCD, which gave a prevalence rate of 1/18 208. Sequencing of 18 newborns and 4 mothers have identified 14 types of SLC22A5 gene variants, with the common ones including c.51C>G (10/44, 22.7%), c.1195C>T (9/44, 20.5%) and c.1400C>G (7/44, 15.9%), The c.517delC(p.L173Cfs*3) and c.1031C>T(p.T344I) were unreported previously and predicted to be pathogenic (PVS1+PM2_supporting+PM3+PP4) and likely pathogenic (PM1+PM2_supporting+PM3+PP3+PP4) based on the American College of Medical Genetics and Genomics standards and guidelines.@*CONCLUSION@#c.51C>G, c.1195C>T and c.1400C>G are the most common variants underlying PCD in Guangxi.

Avaliação do perfil metabólico dos pacientes transplantados do coração no Hospital de Messejana / Evaluation of the metabolic profile of heart transplant patients at the Hospital de Messejana

Objetivo: Este estudo visa avaliar o perfil metabólico de pacientes que foram submetidos a TxC em um centro de referência do estado do Ceará. Métodos: Trata-se de um estudo transversal, quantitativo, em que se avaliaram 110 pacientes receptores de TxC no Hospital de Messejana de Fortaleza, no período de 2011 a 2018, por meio de uma ficha clínica. Resultados: observou-se que a maioria dos pacientes era do gênero masculino (76,5%), e a média de idade foi de 46,26 ± 12,73 anos. Entre os pacientes, observou-se que previamente à cirurgia, 42,5% tinham histórico familiar de doença cardíaca, 40,1% estavam com sobrepeso e 15% eram diabéticos. A classe de medicação mais utilizada para as doenças de bases foram os diuréticos, inibidores da enzima conversora da angiotensina e bloqueadores de receptores da angiotensina. A principal etiologia que levou à necessidade do TxC foi a miocardiopatia isquêmica. Conclusões: Nesta amostra, a doença de base com maior prevalência que levou ao transplante foi a miocardiopatia isquêmica. A maioria dos pacientes apresentou rejeição ao enxerto em algum momento do período estudado. Todos os pacientes que apresentaram descompensação glicêmica fizeram uso de insulina.

Objective: This study aims to assess the metabolic profile of patients who underwent HT at a referral center in the state of Ceará. Methods: This is a cross-sectional, quantitative study, in which 110 patients receiving HT were evaluated at the Hospital de Messejana in Fortaleza, from 2011 to 2018, through a clinical form. Results: It was observed that the majority of patients were male (76.5%) and the mean age was 46.26 ± 12.73 years. Among the patients, it was observed that prior to surgery, 42.5% had a family history of heart disease, 40.1% were overweight, and 15% were diabetic. The most used class of medication for underlying diseases were diuretics, angiotensin-converting-enzyme inhibitors, and angiotensin receptor blockers. The main etiology leading to the need for HT was ischemic cardiomyopathy. Conclusions: In this sample, the most prevalent underlying disease leading to transplantation was ischemic cardiomyopathy. Most patients presented graft rejection at some point during the study period. All patients who presented glycemic decompensation used insulin.

Does Cystatin C have a role as metabolic surrogate in peritoneal dialysis beyond its association with residual renal function? / Teria a Cistatina C um papel como substituto metabólico na diálise peritoneal além de sua associação com a função renal residual?

ABSTRACT Introduction: It has been suggested that cystatin C levels are modified by obesity and inflammation. Furthermore, cystatin C has been associated with cardiovascular events and mortality outcomes. Aim: To study the association of cystatin C with the metabolic profile and cardiovascular disease of peritoneal dialysis patients. Methods: Data collected included clinical, laboratorial, and multifrequency bioimpedance assessment of 52 stable peritoneal dialysis patients. Minimal residual renal function was defined as > 2mL/min/1.73m2. Results: Serum cystatin C was not significantly associated with peritoneal or urinary cystatin C excretion. Negative correlation of cystatin C with normalized protein catabolic rate (rho -0.33, p = 0.02) and a trend towards positive correlation with relative body fat (rho 0.27, p = 0.05) were not independent from residual renal function. Cystatin C was not significantly associated with cardiovascular disease (p = 0.28), nor with glycated hemoglobin (p = 0.19) or c-reactive protein (p = 0.56). In the multivariate model, both age and diabetes were the strongest predictors of cardiovascular disease (odds ratio 1.09, p = 0.029 and odds ratio 29.95, p = 0.016, respectively), while relative body fat was negatively associated with cardiovascular disease (p = 0.038); neither cystatin C (p = 0.096) nor minimal residual renal function (p = 0.756) reached a significant association with cardiovascular disease. Conclusions: In this group of peritoneal dialysis patients, cystatin C did not correlate with the metabolic or inflammatory status, nor cardiovascular disease, after adjustment for residual renal function.

RESUMO Introdução: Tem sido sugerido que os níveis de cistatina C são modificados pela obesidade e inflamação. Além disso, a cistatina C tem sido associada a eventos cardiovasculares e desfechos de mortalidade. Objetivo: Estudar a associação da cistatina C com o perfil metabólico e doença cardiovascular de pacientes em diálise peritoneal. Métodos: Os dados coletados incluíram avaliação clínica, laboratorial e de bioimpedância múltipla de 52 pacientes estáveis em diálise peritoneal. A função renal residual mínima foi definida como > 2mL/min/1,73m2. Resultados: A cistatina C sérica não esteve significativamente associada à excreção peritoneal ou urinária. A correlação negativa da cistatina C com a taxa catabólica protéica normalizada (rho -0,33, p = 0,02) e uma tendência de correlação positiva com a gordura corporal relativa (rho 0,27, p = 0,05) não foram independentes da função renal residual. A cistatina C não se associou significativamente à doença cardiovascular (p = 0,28), nem com hemoglobina glicada (p = 0,19) ou proteína C reativa (p = 0,56). No modelo multivariado, idade e diabetes foram os mais fortes preditores de doença cardiovascular (razões de probabilidade 1,09, p = 0,029 e 29,95, p = 0,016, respectivamente) enquanto a gordura corporal relativa se associou negativamente à doença cardiovascular (p = 0,038). A cistatina C não se associou significativamente com doença cardiovascular (p = 0,096), tampouco a função residual mínima (p = 0,756). Conclusão: Neste grupo de pacientes em diálise peritoneal, a cistatina C não se correlacionou com o estado metabólico ou inflamatório, nem com doença cardiovascular, após ajuste para função renal residual.