PubMed
Analysis of plasma metabolic profile, characteristics and enzymes in the progression from chronic hepatitis B to hepatocellular carcinoma.
Analysis of plasma metabolic profile, characteristics and enzymes in the progression from chronic hepatitis B to hepatocellular carcinoma.
Aging (Albany NY). 2020 Jul 23;12:
Authors: Cai FF, Song YN, Lu YY, Zhang Y, Hu YY, Su SB
Abstract
Hepatitis B virus (HBV) infection is an important factor causing hepatocellular carcinoma (HCC). The aim of this study was to investigate the metabolic characteristics and related metabolic enzyme changes during the progression from chronic hepatitis B (CHB) to liver cirrhosis (LC) and, ultimately, to HCC. An untargeted metabolomics assay was performed in plasma from 50 healthy volunteers, 43 CHB patients, 67 LC patients, and 39 HCC patients. A total of 24 differential metabolites (DMs) were identified. Joint pathway analysis suggested striking changes in amino acid metabolism and lipid metabolism from CHB to HCC. The panel of L-serine, creatine and glycine distinguished LC from CHB, and L-serine, cystathionine, creatine and linoleic acid distinguished HCC from LC. Bioinformatic analysis of publicly available data showed that differential metabolite profile-associated enzyme genes, including alanine-glyoxylate aminotransferase-2 (AGXT2), D-amino-acid oxidase (DAO), and cystathionine gamma-lyase (CTH), were downregulated, while bisphosphoglycerate mutase (BPGM), cystathionine-β-synthase (CBS), phosphoserine phosphatase (PSPH) and acyl-CoA thioesterase 7 (ACOT7) were upregulated, in HCC, all of which correlated with a poor prognosis for HCC patients. Our results indicated that serum metabolites and related enzymes are of considerable significance for the diagnosis and prognosis of HCC and can provide a theoretical basis and therapeutic index for future diagnosis and treatment.
PMID: 32701483 [PubMed - as supplied by publisher]
Ex-Vivo Equine Cartilage Explant Osteoarthritis Model - A Metabolomics and Proteomics Study.
Ex-Vivo Equine Cartilage Explant Osteoarthritis Model - A Metabolomics and Proteomics Study.
J Proteome Res. 2020 Jul 23;:
Authors: Anderson JR, Phelan MM, Foddy L, Clegg PD, Peffers MJ
Abstract
Osteoarthritis is an age-related degenerative musculoskeletal disease characterised by loss of articular cartilage, synovitis and subchondral bone sclerosis. Osteoarthritis pathogenesis is yet to be fully elucidated with no osteoarthritis specific biomarkers in clinical use. Ex-vivo equine cartilage explants (n=5) were incubated in TNF-α/IL-1β supplemented culture media for 8 days, with media removed and replaced at 2, 5 and 8 days. Acetonitrile metabolite extractions of 8 day cartilage explants and media samples at all time points underwent 1D 1H nuclear magnetic resonance metabolomic analysis with media samples also undergoing mass spectrometry proteomic analysis. Within the cartilage, glucose and lysine were elevated following TNF-α/IL-1β treatment whilst adenosine, alanine, betaine, creatine, myo-inositol and uridine decreased. Within the culture media, four, four and six differentially abundant metabolites and 154, 138 and 72 differentially abundant proteins were identified at 1-2 days, 3-5 days and 6-8 days respectively, including reduced alanine and increased isoleucine, enolase 1, vimentin and lamin A/C following treatment. Nine potential novel osteoarthritis neopeptides were elevated in treated media. Implicated pathways were dominated by those involved in cellular movement. Our innovative study has provided insightful information on early osteoarthritis pathogenesis, enabling potential translation for clinical markers and possible new therapeutic targets.
PMID: 32701294 [PubMed - as supplied by publisher]
An approach for feature selection with data modelling in LC-MS metabolomics.
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An approach for feature selection with data modelling in LC-MS metabolomics.
Anal Methods. 2020 Jul 28;12(28):3582-3591
Authors: Plyushchenko I, Shakhmatov D, Bolotnik T, Baygildiev T, Nesterenko PN, Rodin I
Abstract
The data processing workflow for LC-MS based metabolomics study is suggested with signal drift correction, univariate analysis, supervised learning, feature selection and unsupervised modelling. The proposed approach requires only an annotation-free peak table and produces an extremely reduced set of the most relevant features together with validation via Receiver Operating Characteristic analysis for selected predictors, cross-validation and unsupervised projection. The presented study was initially optimised by its own experimental set and then was successfully tested by using 36 datasets from 21 publicly available metabolomics projects. The suggested workflow can be used for classification purposes in high dimensional metabolomics studies and as a first step in exploratory analysis, data projection, biomarker selection, data integration and fusion.
PMID: 32701078 [PubMed - as supplied by publisher]
Patient-ready syringes containing 25 mg/mL methotrexate can be kept at temperature ranging from 4 °C to 37 °C for up to 12 weeks for use in psoriatic and rheumatologic conditions.
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Patient-ready syringes containing 25 mg/mL methotrexate can be kept at temperature ranging from 4 °C to 37 °C for up to 12 weeks for use in psoriatic and rheumatologic conditions.
J Dermatolog Treat. 2020 Jul 23;:1-19
Authors: Chularojanamontri L, Wongpraparut C, Silpa-Archa N, Chaiyabutr C, Pruksaeakanan C, Klinniyom A, Junnu S, Srisawat C
Abstract
Methotrexate (MTX) is a mainstay drug in the treatment of psoriatic and rheumatologic conditions. Subcutaneous MTX (scMTX) has become a feasible treatment alternative with the development of prefilled syringes or autoinjectors containing MTX solution that can be self-administered by the patient at home. However, MTX prefilled auto-injector pens are still not available in some countries. This study aimed to investigate the stability and sterility of 25 mg/mL MTX solution in a disposable plastic syringe over a 12-week period under light protection at temperatures of 4 °C, 25 °C, and 37 °C. This study was conducted during November 2019 to February 2020 at the Faculty of Medicine Siriraj Hospital, Mahidol University. Stability was evaluated using ultra-high-performance liquid chromatography technique, and sterility was assessed by cultures for bacterial and fungal contamination. Our results revealed that patient-ready syringes containing 25 mg/mL MTX solution can be prepared in advance and kept for up to 12 weeks under light protection, and they can be kept at temperatures ranging from 4-37 °C. This system for delivering MTX to patients that are refractory to or intolerant of oral MTX via a self-administered pre-filled syringe is both efficient and easy to implement in care settings where commercially alternatives are not yet available.
PMID: 32700608 [PubMed - as supplied by publisher]
Systemic lipid dysregulation is a risk factor for macular neurodegenerative disease.
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Systemic lipid dysregulation is a risk factor for macular neurodegenerative disease.
Sci Rep. 2020 Jul 22;10(1):12165
Authors: Bonelli R, Woods SM, Ansell BRE, Heeren TFC, Egan CA, Khan KN, Guymer R, Trombley J, Friedlander M, Bahlo M, Fruttiger M
Abstract
Macular Telangiectasia type 2 (MacTel) is an uncommon bilateral retinal disease, in which glial cell and photoreceptor degeneration leads to central vision loss. The causative disease mechanism is largely unknown, and no treatment is currently available. A previous study found variants in genes associated with glycine-serine metabolism (PSPH, PHGDH and CPS1) to be associated with MacTel, and showed low levels of glycine and serine in the serum of MacTel patients. Recently, a causative role of deoxysphingolipids in MacTel disease has been established. However, little is known about possible other metabolic dysregulation. Here we used a global metabolomics platform in a case-control study to comprehensively profile serum from 60 MacTel patients and 58 controls. Analysis of the data, using innovative computational approaches, revealed a detailed, disease-associated metabolic profile with broad changes in multiple metabolic pathways. This included alterations in the levels of several metabolites that are directly or indirectly linked to glycine-serine metabolism, further validating our previous genetic findings. We also found changes unrelated to PSPH, PHGDH and CPS1 activity. Most pronounced, levels of several lipid groups were altered, with increased phosphatidylethanolamines being the most affected lipid group. Assessing correlations between different metabolites across our samples revealed putative functional connections. Correlations between phosphatidylethanolamines and sphingomyelin, and glycine-serine and sphingomyelin, observed in controls, were reduced in MacTel patients, suggesting metabolic re-wiring of sphingomyelin metabolism in MacTel patients. Our findings provide novel insights into metabolic changes associated with MacTel and implicate altered lipid metabolism as a contributor to this retinal neurodegenerative disease.
PMID: 32699277 [PubMed - in process]
Divergence in the metabolome between natural aging and Alzheimer's disease.
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Divergence in the metabolome between natural aging and Alzheimer's disease.
Sci Rep. 2020 Jul 22;10(1):12171
Authors: Hunsberger HC, Greenwood BP, Tolstikov V, Narain NR, Kiebish MA, Denny CA
Abstract
Alzheimer's disease (AD) is a progressive and debilitating neurodegenerative disorder and one of the leading causes of death in the United States. Although amyloid plaques and fibrillary tangles are hallmarks of AD, research suggests that pathology associated with AD often begins 20 or more years before symptoms appear. Therefore, it is essential to identify early-stage biomarkers in those at risk for AD and age-related cognitive decline (ARCD) in order to develop preventative treatments. Here, we used an untargeted metabolomics analysis to define system-level alterations following cognitive decline in aged and APP/PS1 (AD) mice. At 6, 12, and 24 months of age, both control (Ctrl) and AD mice were tested in a 3-shock contextual fear conditioning (CFC) paradigm to assess memory decline. AD mice exhibited memory deficits across age and these memory deficits were also seen in naturally aged mice. Prefrontal cortex (PFC), hippocampus (HPC), and spleen were then collected and analyzed for metabolomic alterations. A number of significant pathways were altered between Ctrl and AD mice and naturally aged mice. By identifying systems-level alterations following ARCD and AD, these data could provide insights into disease mechanisms and advance the development of biomarker panels.
PMID: 32699218 [PubMed - in process]
Hepatic fat is a stronger correlate of key clinical and molecular abnormalities than visceral and abdominal subcutaneous fat in youth.
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Hepatic fat is a stronger correlate of key clinical and molecular abnormalities than visceral and abdominal subcutaneous fat in youth.
BMJ Open Diabetes Res Care. 2020 Jul;8(1):
Authors: Cioffi CE, Narayan KMV, Liu K, Uppal K, Jones DP, Tran V, Yu T, Alvarez JA, Bellissimo MP, Maner-Smith KM, Pierpoint B, Caprio S, Santoro N, Vos MB
Abstract
INTRODUCTION: Body fat distribution is strongly associated with cardiometabolic disease (CMD), but the relative importance of hepatic fat as an underlying driver remains unclear. Here, we applied a systems biology approach to compare the clinical and molecular subnetworks that correlate with hepatic fat, visceral fat, and abdominal subcutaneous fat distribution.
RESEARCH DESIGN AND METHODS: This was a cross-sectional sub-study of 283 children/adolescents (7-19 years) from the Yale Pediatric NAFLD Cohort. Untargeted, high-resolution metabolomics (HRM) was performed on plasma and combined with existing clinical variables including hepatic and abdominal fat measured by MRI. Integrative network analysis was coupled with pathway enrichment analysis and multivariable linear regression (MLR) to examine which metabolites and clinical variables associated with each fat depot.
RESULTS: The data divided into four communities of correlated variables (|r|>0.15, p<0.05) after integrative network analysis. In the largest community, hepatic fat was associated with eight clinical biomarkers, including measures of insulin resistance and dyslipidemia, and 878 metabolite features that were enriched predominantly in amino acid (AA) and lipid pathways in pathway enrichment analysis (p<0.05). Key metabolites associated with hepatic fat included branched-chain AAs (valine and isoleucine/leucine), aromatic AAs (tyrosine and tryptophan), serine, glycine, alanine, and pyruvate, as well as several acylcarnitines and glycerophospholipids (all q<0.05 in MLR adjusted for covariates). The other communities detected in integrative network analysis consisted of abdominal visceral, superficial subcutaneous, and deep subcutaneous fats, but no clinical variables, fewer metabolite features (280, 312, and 74, respectively), and limited findings in pathway analysis.
CONCLUSIONS: These data-driven findings show a stronger association of hepatic fat with key CMD risk factors compared with abdominal fats. The molecular network identified using HRM that associated with hepatic fat provides insight into potential mechanisms underlying the hepatic fat-insulin resistance interface in youth.
PMID: 32699106 [PubMed - in process]
Gout and pseudo-gout-related crystals promote GLUT1-mediated glycolysis that governs NLRP3 and interleukin-1β activation on macrophages.
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Gout and pseudo-gout-related crystals promote GLUT1-mediated glycolysis that governs NLRP3 and interleukin-1β activation on macrophages.
Ann Rheum Dis. 2020 Jul 22;:
Authors: Renaudin F, Orliaguet L, Castelli F, Fenaille F, Prignon A, Alzaid F, Combes C, Delvaux A, Adimy Y, Cohen-Solal M, Richette P, Bardin T, Riveline JP, Venteclef N, Lioté F, Campillo-Gimenez L, Ea HK
Abstract
OBJECTIVE: Macrophage activation by monosodium urate (MSU) and calcium pyrophosphate (CPP) crystals mediates an interleukin (IL)-1β-dependent inflammation during gout and pseudo-gout flare, respectively. Since metabolic reprogramming of macrophages goes along with inflammatory responses dependently on stimuli and tissue environment, we aimed to decipher the role of glycolysis and oxidative phosphorylation in the IL-1β-induced microcrystal response.
METHODS: Briefly, an in vitro study (metabolomics and real-time extracellular flux analysis) on MSU and CPP crystal-stimulated macrophages was performed to demonstrate the metabolic phenotype of macrophages. Then, the role of aerobic glycolysis in IL-1β production was evaluated, as well in vitro as in vivo using 18F-fluorodeoxyglucose positron emission tomography imaging and glucose uptake assay, and molecular approach of glucose transporter 1 (GLUT1) inhibition.
RESULTS: We observed that MSU and CPP crystals led to a metabolic rewiring toward the aerobic glycolysis pathway explained by an increase in GLUT1 plasma membrane expression and glucose uptake on macrophages. Also, neutrophils isolated from human synovial fluid during gout flare expressed GLUT1 at their plasma membrane more frequently than neutrophils isolated from bloodstream. Both glucose deprivation and treatment with either 2-deoxyglucose or GLUT1 inhibitor suppressed crystal-induced NLRP3 activation and IL-1β production, and microcrystal inflammation in vivo.
CONCLUSION: In conclusion, we demonstrated that GLUT1-mediated glucose uptake is instrumental during the inflammatory IL-1β response induced by MSU and CPP crystals. These findings open new therapeutic paths to modulate crystal-related inflammation.
PMID: 32699039 [PubMed - as supplied by publisher]
Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study.
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Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study.
BMC Med. 2020 Jul 23;18(1):187
Authors: Röhnisch HE, Kyrø C, Olsen A, Thysell E, Hallmans G, Moazzami AA
Abstract
BACKGROUND: Prostate cancer is the second most frequently diagnosed cancer in men. Metabolomics can potentially provide new insights into the aetiology of prostate cancer by identifying new metabolic risk factors. This study investigated the prospective association between plasma metabolite concentrations and prostate cancer risk, both overall and by stratifying for disease aggressiveness and baseline age.
METHODS: In a case-control study nested in the Northern Sweden Health and Disease Study, pre-diagnostic concentrations of 148 plasma metabolites were determined using targeted mass spectrometry- and nuclear magnetic resonance-based metabolomics in 777 prostate cancer cases (follow-up ≥ 5 years) and 777 matched controls. Associations between prostate cancer risk and metabolite concentrations were investigated using conditional logistic regression conditioned on matching factors (body mass index, age and sample storage time). Corrections for multiple testing were performed using false discovery rate (20%) and Bonferroni. Metabolomics analyses generated new hypotheses, which were investigated by leveraging food frequency questionnaires (FFQs) and oral glucose tolerance tests performed at baseline.
RESULTS: After correcting for multiple testing, two lysophosphatidylcholines (LPCs) were positively associated with risk of overall prostate cancer (all ages and in older subjects). The strongest association was for LPC C17:0 in older subjects (OR = 2.08; 95% CI 1.45-2.98; p < 0.0001, significant also after the Bonferroni correction). Observed associations with risk of overall prostate cancer in younger subjects were positive for glycine and inverse for pyruvate. For aggressive prostate cancer, there were positive associations with six glycerophospholipids (LPC C17:0, LPC C20:3, LPC C20:4, PC ae C38:3, PC ae C38:4 and PC ae C40:2), while there was an inverse association with acylcarnitine C18:2. Moreover, plasma LPC C17:0 concentrations positively correlated with estimated dietary intake of fatty acid C17:0 from the FFQs. The associations between glycerophospholipids and prostate cancer were stronger in case-controls with normal glucose tolerance.
CONCLUSIONS: Several glycerophospholipids were positively associated with risk of overall and aggressive prostate cancer. The strongest association was observed for LPC C17:0. The associations between glycerophospholipids and prostate cancer risk were stronger in case-controls with normal glucose tolerance, suggesting a link between the glucose metabolism status and risk of prostate cancer.
PMID: 32698845 [PubMed - in process]
Maltose promotes crucian carp survival against Aeromonas sobrial infection at high temperature.
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Maltose promotes crucian carp survival against Aeromonas sobrial infection at high temperature.
Virulence. 2020 Dec;11(1):877-888
Authors: Jiang M, Yang LF, Zheng J, Chen ZG, Peng B
Abstract
Temperature influences fish's susceptibility to infectious disease through an immune response. However, the mechanism underlying this regulation is yet to be elucidated. In this study, we compared the susceptibility of crucian carp that were grown at 18°C and 33°C, respectively, to Aeromonas sobrial infection and found that crucian carp was more susceptible when grown at 33°C. These distinct susceptibilities of fish at different temperatures to infection may partially be explained by their differences in the metabolism as revealed by comparative metabolomics profiling: crucian carp demonstrated enhanced TCA cycle but reduced fatty acid biosynthesis; Our study also found that maltose was the most suppressed metabolite in fish grown at 33°C. Importantly, exogenous injection of maltose enhances crucian carp survival grown at 33°C by 30%. Further study showed that exogenous maltose downregulated the production of several cytokines but enhanced the lysozyme (lyz) and complement component c3, which involves the humoral innate immunity. Our results suggest that maltose promotes the survival of crucian carp likely through fine tuning the immune gene expression, and this finding provides a novel approach to manage bacterial infection.
PMID: 32698656 [PubMed - in process]
Integration of transcriptomic and metabolomic data reveals metabolic pathway alteration in mouse spermatogonia with the effect of copper exposure.
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Integration of transcriptomic and metabolomic data reveals metabolic pathway alteration in mouse spermatogonia with the effect of copper exposure.
Chemosphere. 2020 Oct;256:126974
Authors: Lin S, Qiao N, Chen H, Tang Z, Han Q, Mehmood K, Fazlani SA, Hameed S, Li Y, Zhang H
Abstract
Copper is a widespread heavy metal in environment and has toxic effects when exposed. However, study of copper-induced male reproductive toxicity is still insufficient to report, and the underlying mechanisms are unknown. Keeping in view, RNA-Seq and metabolomic were performed to identify metabolic pathways that were distressed in mouse spermatogonia with the effect of copper sulfate, and the integrated analysis of the mechanism of copper administered GC-1 cells from metabolomic and transcriptomic data. Our results demonstrated that many genes and metabolites were regulated in the copper sulfate-treated cells. The differential metabolites analysis showed that 49 and 127 metabolites were significantly different in ESI+ and ESI- mode, respectively. Meanwhile, a total of 2813 genes were up-regulated and 2488 genes were down-regulated in the treatment groups compared to those in the control groups. Interestingly, ophthalmic acid and gamma glutamylleucine were markedly increased by copper treatment in two modes. By integrating with transcriptomic and metabolomic data, we revealed that 37 and 22 most related pathways were over-enriched in ESI+ and ESI- mode, respectively. Whereas, amino acid biosynthesis and metabolism play essential role in the potential relationship between DEGs and metabolites, which suggests that amino acid biosynthesis and metabolism may be the major metabolic pathways disturbed by copper in GC-1 cells. This study provides important clues and evidence for understanding the mechanisms responsible for copper-induced male spermatogenesis toxicity, and useful biomarkers indicative of copper exposure could be discovered from present study.
PMID: 32470726 [PubMed - indexed for MEDLINE]
Simple LC-MS/MS method using core-shell ODS microparticles for the simultaneous quantitation of edoxaban and its major metabolites in human plasma.
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Simple LC-MS/MS method using core-shell ODS microparticles for the simultaneous quantitation of edoxaban and its major metabolites in human plasma.
J Chromatogr B Analyt Technol Biomed Life Sci. 2020 Jun 01;1146:122121
Authors: Ariizumi S, Naito T, Hoshikawa K, Akutsu S, Saotome M, Maekawa Y, Kawakami J
Abstract
Edoxaban is mainly enzymatically converted to a 4-carboxylic acid form (4CA-EDX) and an N-desmethyl form (ND-EDX) in humans. This study aimed to establish a simple liquid chromatography-tandem mass spectrometry method using core-shell octadecyl silica (ODS) microparticles for the simultaneous quantitation of edoxaban and its two major metabolites in human plasma. Analytes extracted from plasma specimens by a one-step deproteinization were separated using a 2.6-µm core-shell ODS microparticulate column and linear acetonitrile-ammonium acetate gradient elution at a flow rate of 0.25 mL/min with a run time of 7 min. The mass spectrometer was operated in the positive ion multiple reaction monitoring mode. Plasma samples collected from 20 patients with atrial fibrillation were analyzed by the present method. The chromatograms of drug-free human plasma had no interfering peaks. The calibration curves of edoxaban, 4CA-EDX, and ND-EDX were linear over the concentration ranges of 1.25-160, 0.47-60, and 0.12-15 ng/mL, respectively. Their pretreatment recoveries and matrix factors were 88.7-109.0% and 87.0-101.6%, respectively. The intra- and inter-day accuracy and imprecision values were 85.9-112.8% and within 13.3%, respectively. The plasma concentrations of edoxaban, 4CA-EDX, and ND-EDX in the patients had ranges of 17.8-102, 1.67-25.7, and 0.685-5.34 ng/mL, respectively. All the analytes were measurable within their calibration curves. In conclusion, this validated method for the simultaneous determination of edoxaban and its major metabolites was successfully applied to plasma specimens obtained from patients with atrial fibrillation.
PMID: 32361632 [PubMed - indexed for MEDLINE]
Determination of amphenicol antibiotics and their glucuronide metabolites in urine samples using liquid chromatography with quadrupole time-of-flight mass spectrometry.
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Determination of amphenicol antibiotics and their glucuronide metabolites in urine samples using liquid chromatography with quadrupole time-of-flight mass spectrometry.
J Chromatogr B Analyt Technol Biomed Life Sci. 2020 Jun 01;1146:122122
Authors: Pastor-Belda M, Campillo N, Arroyo-Manzanares N, Hernández-Córdoba M, Viñas P
Abstract
A rapid procedure for the determination of amphenicol antibiotics in human urine by liquid chromatography with quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) is proposed. The presence of thiamphenicol (TAP), florfenicol (FF) and chloramphenicol (CAP) in the human body can be attributed to their administration to treat certain diseases or by eating food of animal origin. The TAP, FF and CAP excreted in urine is mainly in the form of glucuronide conjugates, although their free forms may also be excreted to a lesser extent. In the procedure described, the enzymatic hydrolysis of amphenicol glucuronide forms in urine was carried out using β-glucuronidase and sulfatase at pH 5 (37 °C, overnight) in order to discriminate the free and conjugated forms. Then, amphenicol antibiotics were submitted to dispersive liquid-liquid microextraction (DLLME) for preconcentration. All the parameters affecting DLLME efficiency were optimized, and the following conditions were selected: 0.9 g NaCl in 10 mL of urine, to which 1.2 mL methanol (as dispersant solvent) and 1 mL of 4-methyl-2-pentanone (as extractant solvent) were added. The absence of a matrix effect allowed quantification of the samples against aqueous standards. Detection limits were 29, 6 and 3 pg mL-1 for TAP, FF and CAP, respectively. Relative standard deviations were calculated to evaluate the intra- and inter-day precision and values lower than 10% were obtained in all cases. The trueness of the method was tested through recovery studies, obtaining satisfactory values (83-104%). Ten urine samples obtained from volunteers were analysed and all of them were free of the studied antibiotics.
PMID: 32334391 [PubMed - indexed for MEDLINE]
A metabonomics and lipidomics based network pharmacology study of qi-tonifying effects of honey-processed Astragalus on spleen qi deficiency rats.
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A metabonomics and lipidomics based network pharmacology study of qi-tonifying effects of honey-processed Astragalus on spleen qi deficiency rats.
J Chromatogr B Analyt Technol Biomed Life Sci. 2020 Jun 01;1146:122102
Authors: Huang L, Ye M, Wu J, Liu W, Chen H, Rui W
Abstract
Honey-processed Astragalus is a dosage form of radix Astragali processed with honey, which is deemed to contain better qi-tonifying effects in traditional Chinese medicine theroy. Our previous study has demonstrated that honey-processed Astragalus exhibited a better effect on reinforcing qi (vital energy) and immune improvement toward spleen qi deficiency compared with radix Astragali. However, the detailed mechanisms related to qi-tonifying effects of honey-processed Astragalus is still unclear. In this study, we evaluated the qi-tonifying effects of honey-processed Astragalus on spleen qi deficiency rats and predicted the mechanisms by aggregating metabonomics, lipidomics and network pharmacology. The results revealed that body weights, symptom scores, the levels of red blood cell, white blood cell, lymphocyte, spleen and thymus indexes, and three cytokines (TNF-α, IL-6, IFN-γ) in honey-processed Astragalus treated rats were improved in comparison with spleen qi deficiency rats. In parallel, based on the 26 biomarkers screened in metabonomics and lipidomics, we inferred that glycerophospholipid metabolism significantly regulated in pathway analysis was connected with qi-tonifying effects. Moreover, the network pharmacology analysis concluded that the compounds targets of honey-processed Astragalus CDK2, NOS3, MAPK14, PTGS1 and PTGS2 interacted with markers targets PLA2G(s) family and LYPLA1 could be responsible for regulation of glycerophospholipid metabolism to develop qi-tonifying effects. What's more, the above processes were possibly through VEGF signaling and MAPK signaling pathways.
PMID: 32330807 [PubMed - indexed for MEDLINE]
metabolomics; +22 new citations
22 new pubmed citations were retrieved for your search.
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metabolomics
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metabolomics; +21 new citations
21 new pubmed citations were retrieved for your search.
Click on the search hyperlink below to display the complete search results:
metabolomics
These pubmed results were generated on 2020/07/22PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books.
Citations may include links to full-text content from PubMed Central and publisher web sites.
metabolomics; +21 new citations
21 new pubmed citations were retrieved for your search.
Click on the search hyperlink below to display the complete search results:
metabolomics
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metabolomics; +35 new citations
35 new pubmed citations were retrieved for your search.
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metabolomics
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Citations may include links to full-text content from PubMed Central and publisher web sites.
GC-MS analysis of seven metabolites for the screening of pregnant women with Down Syndrome fetuses.
GC-MS analysis of seven metabolites for the screening of pregnant women with Down Syndrome fetuses.
J Pharm Biomed Anal. 2020 Jul 02;188:113427
Authors: Özkan E, Nemutlu E, Beksac MS, Kır S
Abstract
Down Syndrome is a genetic disorder caused by the presence of all or part of a third copy of chromosome 21. Metabolomics is identification and quantification of small-molecule metabolites (molecular weight <1000 Da) in tissues, cells and physiological fluids within a certain period time. Metabolites are intermediate products of various types of biochemical reactions that participate in bonding metabolic pathways. In this study, metabolites such as 2-Hydroxybutyric acid, 3-Hydroxybutyric acid, β-Hydroxyisovaleric acid, Uracil, Glutamic acid, Maltose and Melezitose were chosen as the possible determinants/markers for the prenatal screening of Down Syndrome. Quantitative analysis of the metabolites conducted by GCMS method using 5 % phenyl / 95 % dimethylpolysiloxane (30 m ×0.25 mm, 0.25 μm film thickness) capillary column. The oven temperature was held constant at 60 °C for 1 min and ramped at 10 °C /min to 200 °C then ramped at 30 °C/min to 320 °C and hold for 6 min before cool-down, as helium mobile phase and flow rate of 2.8 mL/min and adding Myristic acid-d27 as an internal standard. Our method was validated by parameters of system suitability, stability, linearity, sensitivity, accuracy, precision, selectivity, robustness and ruggedness. The developed and validated method was applied to plasma samples taken from pregnant women with Down Syndrome (study group) and euploid fetuses (healthy group). The levels of these seven metabolites are statistically different (p < 0.05 for all) between the groups. It can be concluded that these relevant metabolites might be used for the prenatal screening of Down Syndrome.
PMID: 32683283 [PubMed - as supplied by publisher]
Integrated lipidomics and targeted metabolomics analyses reveal changes in flavor precursors in psoas major muscle of castrated lambs.
Integrated lipidomics and targeted metabolomics analyses reveal changes in flavor precursors in psoas major muscle of castrated lambs.
Food Chem. 2020 Jul 05;333:127451
Authors: Li J, Tang C, Zhao Q, Yang Y, Li F, Qin Y, Liu X, Yue X, Zhang J
Abstract
Castration may decrease off-odors and improve meat flavor. Meat flavor is generated through complex chemical reactions that involve hydrophilic and hydrophobic flavor precursors. In this study, we investigated the flavor precursors in psoas major muscles of castrated and intact sheep using lipidomics and targeted metabolomics. Castration decreased testosterone levels and increased intramuscular fat content. Six hundred fourteen lipid molecules confirmed showed a separation between castrated and intact sheep based on principal component analysis. Fourteen lipid species and 224 lipid molecules increased in castrated sheep. Targeted metabolomics analysis showed that 18 hydrophilic metabolites were affected by castration; however, only hypoxanthine significantly increased in the castration group. Among 45 volatiles identified, 1-octen-3-ol and hexanal were significantly higher in castrated sheep. These results revealed that lipids, hydrophilic metabolites, and volatile compounds in lamb were affected by castration, which might be beneficial in lamb quality.
PMID: 32683255 [PubMed - as supplied by publisher]