scholarly journals Characterization of the Metabolic Pathways of 4-Chlorobiphenyl (PCB3) in HepG2 Cells Using the Metabolite Profiles of Its Hydroxylated Metabolites

2021 ◽  
Author(s):  
Chun-Yun Zhang ◽  
Susanne Flor ◽  
Patricia Ruiz ◽  
Gabriele Ludewig ◽  
Hans-Joachim Lehmler
Keyword(s):  
Metabolic Pathways ◽  
Hepg2 Cells ◽  
Hydroxylated Metabolites ◽  
Metabolite Profiles

scholarly journals Synthesis, Characterization of Liposomes Modified with Biosurfactant MEL-A Loading Betulinic Acid and Its Anticancer Effect in HepG2 Cell

Molecules ◽  
2019 ◽  
Vol 24 (21) ◽  
pp. 3939 ◽  
Author(s):  
Qin Shu ◽  
Jianan Wu ◽  
Qihe Chen
Keyword(s):  
Betulinic Acid ◽  
Hepg2 Cells ◽  
Lipid A ◽  
Clinical Applications ◽  
Dose Effect ◽  
Anticancer Effect ◽  
Mannosylerythritol Lipid ◽  
Anti Cancer ◽  
Effect Relation

As a novel natural compound delivery system, liposomes are capable of incorporating lipophilic bioactive compounds with enhanced compound solubility, stability and bioavailability, and have been successfully translated into real-time clinical applications. To construct the soy phosphatidylcholine (SPC)–cholesterol (Chol) liposome system, the optimal formulation was investigated as 3:1 of SPC to Chol, 10% mannosylerythritol lipid-A (MEL-A) and 1% betulinic acid. Results show that liposomes with or without betulinic acid or MEL-A are able to inhibit the proliferation of HepG2 cells with a dose-effect relation remarkably. In addition, the modification of MEL-A in liposomes can significantly promote cell apoptosis and strengthen the destruction of mitochondrial membrane potential in HepG2 cells. Liposomes containing MEL-A and betulinic acid have exhibited excellent anticancer activity, which provide factual basis for the development of MEL-A in the anti-cancer applications. These results provide a design thought to develop delivery liposome systems carrying betulinic acid with enhanced functional and pharmaceutical attributes.

scholarly journals Flavor and Metabolite Profiles of Meat, Meat Substitutes, and Traditional Plant-Based High-Protein Food Products Available in Australia

Foods ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 801
Author(s):  
Kornelia Kaczmarska ◽  
Matthew Taylor ◽  
Udayasika Piyasiri ◽  
Damian Frank
Keyword(s):  
Mass Spectrometry ◽  
Solid Phase ◽  
Food Products ◽  
High Protein ◽  
Gas Chromatography Mass Spectrometry ◽  
Protein Food ◽  
Volatile Flavor ◽  
Orbitrap Mass Spectrometry ◽  
Metabolite Profiles

Demand for plant-based proteins and plant-based food products is increasing globally. This trend is driven mainly by global population growth and a consumer shift towards more sustainable and healthier diets. Existing plant-based protein foods and meat mimetics often possess undesirable flavor and sensory properties and there is a need to better understand the formation of desirable meat-like flavors from plant precursors to improve acceptance of novel high-protein plant foods. This study aimed to comprehensively characterize the non-volatile flavor metabolites and the volatiles generated in grilled meat (beef, chicken, and pork) and compare these to commercially available meat substitutes and traditional high-protein plant-based foods (natto, tempeh, and tofu). Solid phase microextraction with gas-chromatography mass-spectrometry was used for elucidation of the flavor volatilome. Untargeted characterization of the non-volatile metabolome was conducted using Orbitrap mass spectrometry and Compound DiscovererTM datamining software. The study revealed greater diversity and higher concentrations of flavor volatiles in plant-based foods in comparison to grilled meat, although the odor activity of specific volatiles was not considered. On average, the total amount of volatiles in plant-based products were higher than in meat. A range of concentrations of free amino acids, dipeptide, tripeptides, tetrapeptides, nucleotides, flavonoids, and other metabolites was identified in meat and plant-based foods.

scholarly journals Characterization of hepcidin response to holotransferrin in novel recombinant TfR1 HepG2 cells

2016 ◽  
Vol 61 ◽  
pp. 37-45 ◽  
Author(s):  
Kosha Mehta ◽  
Mark Busbridge ◽  
Derek Renshaw ◽  
Robert W. Evans ◽  
Sebastien Farnaud ◽  
...  
Keyword(s):  
Hepg2 Cells

scholarly journals New Findings in Prunus padus L. Fruits as a Source of Natural Compounds: Characterization of Metabolite Profiles and Preliminary Evaluation of Antioxidant Activity

Molecules ◽  
2018 ◽  
Vol 23 (4) ◽  
pp. 725 ◽  
Author(s):  
Dario Donno ◽  
Maria Mellano ◽  
Marta De Biaggi ◽  
Isidoro Riondato ◽  
Ernest Rakotoniaina ◽  
...  
Keyword(s):  
Antioxidant Activity ◽  
Natural Compounds ◽  
Preliminary Evaluation ◽  
Prunus Padus ◽  
New Findings ◽  
Metabolite Profiles

scholarly journals The dental calculus metabolome in modern and historic samples

2017 ◽  
Author(s):  
Irina M. Velsko ◽  
Katherine A. Overmyer ◽  
Camilla Speller ◽  
Matthew Collins ◽  
Louise Loe ◽  
...  
Keyword(s):  
Dental Plaque ◽  
Ultra Performance Liquid Chromatography ◽  
Oral Microbiome ◽  
Chemical Degradation ◽  
Dental Calculus ◽  
Metabolite Profiles ◽  
Free Nucleotides ◽  
Liquid Chromatography Tandem Mass ◽  
Long Time

AbstractIntroductionDental calculus is a mineralized microbial dental plaque biofilm that forms throughout life by precipitation of salivary calcium salts. Successive cycles of dental plaque growth and calcification make it an unusually well-preserved, long-term record of host-microbial interaction in the archaeological record. Recent studies have confirmed the survival of authentic ancient DNA and proteins within historic and prehistoric dental calculus, making it a promising substrate for investigating oral microbiome evolution via direct measurement and comparison of modern and ancient specimens.ObjectiveWe present the first comprehensive characterization of the human dental calculus metabolome using a multi-platform approach.MethodsUltra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) quantified 285 metabolites in modern and historic (200 years old) dental calculus, including metabolites of drug and dietary origin. A subset of historic samples was additionally analyzed by high-resolution gas chromatography-MS (GC-MS) and UPLC- MS/MS for further characterization of polar metabolites and lipids, respectively. Metabolite profiles of modern and historic calculus were compared to identify patterns of persistence and loss.ResultsDipeptides, free amino acids, free nucleotides, and carbohydrates substantially decrease in abundance and ubiquity in archaeological samples, with some exceptions. Lipids generally persist, and saturated and mono-unsaturated medium and long chain fatty acids appear to be well-preserved, while metabolic derivatives related to oxidation and chemical degradation are found at higher levels in archaeological dental calculus than fresh samples.ConclusionsThe results of this study indicate that certain metabolite classes have higher potential for recovery over long time scales and may serve as appropriate targets for oral microbiome evolutionary studies.

scholarly journals Pathway swapping: Toward modular engineering of essential cellular processes

2016 ◽  
Vol 113 (52) ◽  
pp. 15060-15065 ◽  
Author(s):  
Niels G. A. Kuijpers ◽  
Daniel Solis-Escalante ◽  
Marijke A. H. Luttik ◽  
Markus M. M. Bisschops ◽  
Francine J. Boonekamp ◽  
...  
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Metabolic Pathways ◽  
Applied Research ◽  
Central Metabolism ◽  
Microbial Genomes ◽  
Cellular Processes ◽  
Recent Developments ◽  
One Step ◽  
Saccharomyces Kudriavzevii

Recent developments in synthetic biology enable one-step implementation of entire metabolic pathways in industrial microorganisms. A similarly radical remodelling of central metabolism could greatly accelerate fundamental and applied research, but is impeded by the mosaic organization of microbial genomes. To eliminate this limitation, we propose and explore the concept of “pathway swapping,” using yeast glycolysis as the experimental model. Construction of a “single-locus glycolysis” Saccharomyces cerevisiae platform enabled quick and easy replacement of this yeast’s entire complement of 26 glycolytic isoenzymes by any alternative, functional glycolytic pathway configuration. The potential of this approach was demonstrated by the construction and characterization of S. cerevisiae strains whose growth depended on two nonnative glycolytic pathways: a complete glycolysis from the related yeast Saccharomyces kudriavzevii and a mosaic glycolysis consisting of yeast and human enzymes. This work demonstrates the feasibility and potential of modular, combinatorial approaches to engineering and analysis of core cellular processes.

Characterization of Mechanisms of Glutathione Conjugation with Halobenzoquinones in Solution and HepG2 Cells

2018 ◽  
Vol 52 (5) ◽  
pp. 2898-2908 ◽  
Author(s):  
Wei Wang ◽  
Yichao Qian ◽  
Jinhua Li ◽  
Naif Aljuhani ◽  
Arno G. Siraki ◽  
...  
Keyword(s):  
Hepg2 Cells ◽  
Glutathione Conjugation

Characterization of Metabolites of α-mangostin in Bio-samples from SD Rats by UHPLC-Q-Exactive Orbitrap MS

2021 ◽  
Vol 22 ◽  
Author(s):  
Fan Dong ◽  
Shaoping Wang ◽  
Ailin Yang ◽  
Haoran Li ◽  
Pingping Dong ◽  
...  
Keyword(s):  
Metabolic Pathways ◽  
Garcinia Mangostana ◽  
Sd Rats ◽  
Metabolic Route ◽  
Wide Range ◽  
New Strategy ◽  
Q Exactive ◽  
Orbitrap Ms

Background: α-mangostin, a typical xanthone, often exists in Garcinia mangostana L. (Clusiaceae). α-mangostin was found to have a wide range of pharmacological properties. However, its specific metabolic route in vivo remains unclear, while these metabolites may accumulate to exert pharmacological effects, too. Objective: This study aimed to clarify the metabolic pathways of α-mangostin after oral administration to the rats. Methods: Here, an UHPLC-Q-Exactive Orbitrap MS was used for the detection of potential metabolites formed in vivo. A new strategy for the identification of unknown metabolites based on typical fragmentation routes was implemented. Results: A total of 42 metabolites were detected, and their structures were tentatively identified in this study. The results showed that major in vivo metabolic pathways of α-mangostin in rats included methylation, demethylation, methoxylation, hydrogenation, dehydrogenation, hydroxylation, dehydroxylation, glucuronidation, and sulfation. Conclusions: This study is significant to expand our knowledge of the in vivo metabolism of α-mangostin and to understand the mechanism of action of α-mangostin in rats in vivo.

scholarly journals Characterization of the Gut Microbiota of Individuals at Different T2D Stages Reveals a Complex Relationship with the Host

2020 ◽  
Vol 8 (1) ◽  
pp. 94 ◽  
Author(s):  
Alejandra Chávez-Carbajal ◽  
María Luisa Pizano-Zárate ◽  
Fernando Hernández-Quiroz ◽  
Guillermo Federico Ortiz-Luna ◽  
Rosa María Morales-Hernández ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Metabolic Pathways ◽  
Dietary Intervention ◽  
Metabolic Characteristics ◽  
Significant Difference ◽  
Bacterial Richness ◽  
Microbiota Diversity ◽  
Improve Glucose Tolerance ◽  
M 14

In this work, we studied 217 Mexican subjects divided into six groups with different stages of glucose intolerance: 76 Controls (CO), 54 prediabetes (PRE), 14 T2D no medication (T2D−No−M), 14 T2D with Metformin (T2D−M), 22 T2D with polypharmacy (T2D−P), and 37 T2D with polypharmacy and insulin (T2D−P+I). We aimed to determine differences in the gut microbiota diversity for each condition. At the phylum level, we found that Firmicutes and Bacteroidetes outline major changes in the gut microbiota. The gut bacterial richness and diversity of individuals in the T2D−No−M group were lesser than other groups. Interestingly, we found a significant difference in the beta diversity of the gut microbiota among all groups. Higher abundance was found for Comamonadaceae in PRE, and Sutterella spp. in T2D−No−M. In addition, we found associations of specific microbial taxa with clinical parameters. Finally, we report predicted metabolic pathways of gut microbiota linked to T2D−M and PRE conditions. Collectively, these results indicate that each group has specific predicted metabolic characteristics and gut bacteria populations for each phenotype. The results of this study could be used to define strategies to modulate gut microbiota through noninvasive treatments, such as dietary intervention, probiotics or prebiotics, and to improve glucose tolerance of individuals with prediabetes or T2D.

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