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Ong ES. Urine Metabolites and Bioactive Compounds from Functional Food: Applications of Liquid Chromatography Mass Spectrometry. Crit Rev Anal Chem 2023:1-16. [PMID: 37454386 DOI: 10.1080/10408347.2023.2235442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Abstract
Bioactive compounds in functional foods, medicinal plants and others are considered attractive value-added molecules based on their wide range of bioactivity. It is clear that an important role is occupied by polyphenol, phenolic compounds and others. Urine is an effective biofluid to evaluate and monitor alterations in homeostasis and other processes related to metabolism. The current review provides a detailed description of the formation of urine in human body, various aspects relevant to sampling and analysis of urinary metabolites before presenting recent developments leveraging on metabolite profiling of urine. For the profiling of small molecules in urine, advancement of liquid chromatography mass tandem spectrometry (LC/MS/MS), establishment of standardized chemical fragmentation libraries, computational resources, data-analysis approaches with pattern recognition tools have made it an attractive option. The profiling of urinary metabolites gives an overview of the biomarkers associated with the diet and evaluates its biological effects. Metabolic pathways such as glycolysis, tricarboxylic acid cycle, amino acid metabolism, energy metabolism, purine metabolism and others can be evaluated. Finally, a combination of metabolite profiling with chemical standardization and bioassay in functional food and medicinal plants will likely lead to the identification of new biomarkers and novel biochemical insights.
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Affiliation(s)
- Eng Shi Ong
- Singapore University of Technology and Design, Singapore, Republic of Singapore
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2
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Stavroulaki EM, Suchodolski JS, Xenoulis PG. Effects of antimicrobials on the gastrointestinal microbiota of dogs and cats. Vet J 2023; 291:105929. [PMID: 36427604 DOI: 10.1016/j.tvjl.2022.105929] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 11/12/2022] [Accepted: 11/21/2022] [Indexed: 11/25/2022]
Abstract
Among several environmental factors, exposure to antimicrobials has been in the spotlight as a cause of profound and long-term disturbance of the intestinal microbiota. Antimicrobial-induced dysbiosis is a general term and includes decreases in microbial richness and diversity, loss of beneficial bacterial groups, blooms of intestinal pathogens and alterations in the metabolic functions and end-products of the microbiota. Mounting evidence from human and experimental animal studies suggest an association between antimicrobial-induced dysbiosis and susceptibility to gastrointestinal, metabolic, endocrine, immune and neuropsychiatric diseases. These associations are commonly stronger after early life exposure to antimicrobials, a period during which maturation of the microbiota and immune system take place in parallel. In addition, these associations commonly become stronger as the number of antimicrobial courses increases. The repeatability of these findings among different studies as well as the presence of a dose-dependent relationship between antimicrobial exposure and disease development collectively require careful consideration of the need for antimicrobial use. There are limited studies are available in dogs and cats regarding the long-term effects of antimicrobials on the microbiota and subsequent susceptibility to diseases. This review discusses the effects of antimicrobials on the gastrointestinal microbiota and the most important associations between antimicrobial-induced dysbiosis and diseases in humans, dogs, and cats.
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Affiliation(s)
- Evangelia M Stavroulaki
- Clinic of Medicine, Faculty of Veterinary Science, University of Thessaly, Karditsa 43131, Greece.
| | - Jan S Suchodolski
- Gastrointestinal Laboratory, Department of Small Animal Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station 77845, TX, USA
| | - Panagiotis G Xenoulis
- Clinic of Medicine, Faculty of Veterinary Science, University of Thessaly, Karditsa 43131, Greece; Gastrointestinal Laboratory, Department of Small Animal Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station 77845, TX, USA
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3
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Evaluating Cefoperazone-Induced Gut Metabolic Functional Changes in MR1-Deficient Mice. Metabolites 2022; 12:metabo12050380. [PMID: 35629884 PMCID: PMC9146321 DOI: 10.3390/metabo12050380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 04/15/2022] [Accepted: 04/20/2022] [Indexed: 02/04/2023] Open
Abstract
Mucosal-associated invariant T cells are activated following the recognition of bacterial antigens presented by the major histocompatibility complex class I-related molecule (MR1). Previous metagenomics data showed that MR1−/− knock-out (KO) mice had distinct microbiota and displayed a resistance to Clostridioides difficile (CDI) colonization vs. wild-type (WT) mice. In the present study, LC/MS-based untargeted metabolomics are applied to evaluate the changes in metabolic activities, in accordance with the changes in gut microbiota caused by cefoperazone (Cef) treatment. Adult C57Bl/6J WT and MR1−/− KO mice were given sterile drinking water or spiked with 0.5 mg/mL Cef ad libitum for five days. Fecal pellets were collected daily, and both small intestinal and cecal contents were harvested at sacrifice. The PLS-DA score plots of the metabolomic data indicate that the microbiota is relatively less disturbed by Cef treatment in KO mice, which is consistent with the metagenomics data. The most noticeable differences in the metabolome of KO and WT mice were the increases in carbohydrates in the WT mice, but not in the KO mice. Metabolic functional biomarkers were identified through the correlation analysis of gamma-aminobutyric acid (GABA) and riboflavin. These detected metabolic functional biomarkers could provide information complementary to metagenomics data.
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Jaskiw GE, Obrenovich ME, Kundrapu S, Donskey CJ. Changes in the Serum Metabolome of Patients Treated With Broad-Spectrum Antibiotics. Pathog Immun 2020; 5:382-418. [PMID: 33474520 PMCID: PMC7810407 DOI: 10.20411/pai.v5i1.394] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 10/16/2020] [Indexed: 12/14/2022] Open
Abstract
Background: The gut microbiome (GMB) generates numerous small chemicals that can be absorbed by the host and variously biotransformed, incorporated, or excreted. The resulting metabolome can provide information about the state of the GMB, of the host, and of their relationship. Exploiting this information in the service of biomarker development is contingent on knowing the GMB-sensitivity of the individual chemicals comprising the metabolome. In this regard, human studies have lagged far behind animal studies. Accordingly, we tested the hypothesis that serum levels of chemicals unequivocally demonstrated to be GMB-sensitive in rodent models would also be affected in a clinical patient sample treated with broad spectrum antibiotics. Methods: We collected serum samples from 20 hospitalized patients before, during, and after treatment with broad-spectrum antibiotics. We also collected samples from 5 control patients admitted to the hospital but not prescribed antibiotics. We submitted the samples for a non-targeted metabolomic analysis and then focused on chemicals known to be affected both by germ-free status and by antibiotic treatment in the mouse and/or rat. Results: Putative identification was obtained for 499 chemicals in human serum. An aggregate analysis did not show any time x treatment interactions. However, our literature search identified 10 serum chemicals affected both by germ-free status and antibiotic treatment in the mouse or rat. Six of those chemicals were measured in our patient samples and additionally met criteria for inclusion in a focused analysis. Serum levels of 5 chemicals (p-cresol sulfate, phenol sulfate, hippurate, indole propionate, and indoxyl sulfate) declined significantly in our group of antibiotic-treated patients but did not change in our patient control group. Conclusions: Broad-spectrum antibiotic treatment in patients lowered serum levels of selected chemicals previously demonstrated to be GMB-sensitive in rodent models. Interestingly, all those chemicals are known to be uremic solutes that can be derived from aromatic amino acids (L-phenylalanine, L-tyrosine, or L-tryptophan) by anaerobic bacteria, particularly Clostridial species. We conclude that judiciously selected serum chemicals can reliably detect antibiotic-induced suppression of the GMB in man and thus facilitate further metabolome-based biomarker development.
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Affiliation(s)
- George E Jaskiw
- Psychiatry Service, Veterans Affairs Northeast Ohio Healthcare System (VANEOHS), Cleveland, Ohio.,School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Mark E Obrenovich
- Pathology and Laboratory Medicine Service, VANEOHS, Cleveland, Ohio.,Research Service, VANEOHS, Cleveland, Ohio.,Department of Chemistry, Case Western Reserve University, Cleveland, Ohio
| | - Sirisha Kundrapu
- School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Curtis J Donskey
- School of Medicine, Case Western Reserve University, Cleveland, Ohio.,Geriatric Research, Education and Clinical Center, VANEOHS, Cleveland, Ohio
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Bile Acid Profile and its Changes in Response to Cefoperazone Treatment in MR1 Deficient Mice. Metabolites 2020; 10:metabo10040127. [PMID: 32225042 PMCID: PMC7241087 DOI: 10.3390/metabo10040127] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 03/23/2020] [Accepted: 03/24/2020] [Indexed: 01/08/2023] Open
Abstract
Mucosal associated invariant T-cells (MAIT cells) are activated following recognition of bacterial antigens (riboflavin intermediates) presented on major histocompatibility complex class I-related molecule (MR1). Our previous study showed that MR1−/− knock-out (KO) mice (lacking MAIT cells) harbor a unique microbiota that is resistant to antibiotic disruption and Clostridioides difficile colonization. While we have characterized the microbiota of this mouse strain, changes in global metabolic activity in these KO mice have not been assessed. Here, LC/MS-based untargeted metabolomics was applied to investigate the differences in the metabolome, specifically in the bile acid (BA) profile of wild-type (WT) and MR1−/− KO mice, as well as how antibiotics change these profiles. BA changes were evaluated in the intestinal content, cecum content, and stool samples from MR1−/− mice and WT mice treated with cefoperazone (Cef). Fecal pellets were collected daily and both intestinal and cecal contents were harvested at predetermined endpoints on day 0 (D0), day 1 (D1), day 3 (D3), and day 5 (D5). KO mice exhibited no changes in 6-hydroxymethyl-8-D-ribityllumazine (rRL-6-CH2OH; an MR1-restricted riboflavin derivative) in the stool samples at either time point vs. D0, while WT mice showed significant decreases in rRL-6-CH2OH in the stool samples on all treatment days vs. D0. Metabolomics analysis from cecal and stool samples showed that KO mice had more total BA intensity (KO/WT = ~1.7 and ~3.3 fold higher) than that from WT mice prior to Cef treatment, while the fold change difference (KO/WT = ~4.5 and ~4.4 fold) increased after five days of Cef treatment. Both KO and WT mice showed decreases in total BA intensity in response to Cef treatment, however, less dramatic decreases were present in KO vs. WT mice. Increases in taurocholic acid (TCA) intensity and decreases in deoxycholic acid (DCA) intensity in the stool samples from WT mice were associated with the depletion of certain gut bacteria, which was consistent with the previously reported microbiome data. Furthermore, the non-detected TCA and relatively higher DCA intensity in the KO mice might be related to Clostridioides difficile infection resistance, although this needs further investigation.
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Mussap M, Loddo C, Fanni C, Fanos V. Metabolomics in pharmacology - a delve into the novel field of pharmacometabolomics. Expert Rev Clin Pharmacol 2020; 13:115-134. [PMID: 31958027 DOI: 10.1080/17512433.2020.1713750] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Introduction: Pharmacometabolomics is an emerging science pursuing the application of precision medicine. Combining both genetic and environmental factors, the so-called pharmacometabolomic approach guides patient selection and stratification in clinical trials and optimizes personalized drug dosage, improving efficacy and safety.Areas covered: This review illustrates the progressive introduction of pharmacometabolomics as an innovative solution for enhancing the discovery of novel drugs and improving research and development (R&D) productivity of the pharmaceutical industry. An extended analysis on published pharmacometabolomics studies both in animal models and humans includes results obtained in several areas such as hepatology, gastroenterology, nephrology, neuropsychiatry, oncology, drug addiction, embryonic cells, neonatology, and microbiomics.Expert opinion: a tailored, individualized therapy based on the optimization of pharmacokinetics and pharmacodynamics, the improvement of drug efficacy, and the abolition of drug toxicity and adverse drug reactions is a key issue in precision medicine. Genetics alone has become insufficient for deciphring intra- and inter-individual variations in drug-response, since they originate both from genetic and environmental factors, including human microbiota composition. The association between pharmacogenomics and pharmacometabolomics may be considered the new strategy for an in-deep knowledge on changes and alterations in human and microbial metabolic pathways due to the action of a drug.
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Affiliation(s)
- Michele Mussap
- Laboratory Unit, Department of Surgical Sciences, University of Cagliari, Cagliari, Italy
| | | | - Claudia Fanni
- Division of Pediatrics, Rovigo Hospital, Rovigo, Italy
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Neonatal Pathology and Neonatal Section, Department of Surgical Sciences, University of Cagliari, Cagliari, Italy
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Gong X, Liu M, Gong L, Li Y, Peng C. Study on hepatotoxicity of different dosages of Polygoni multiflori radix praeparata in rats by metabolomics based on UPLC-Q-TOF-MS. J Pharm Biomed Anal 2019; 175:112760. [DOI: 10.1016/j.jpba.2019.07.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Revised: 07/02/2019] [Accepted: 07/05/2019] [Indexed: 01/19/2023]
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Cho Y, Osgood RS, Bell LN, Karoly ED, Shore SA. Ozone-induced changes in the serum metabolome: Role of the microbiome. PLoS One 2019; 14:e0221633. [PMID: 31454377 PMCID: PMC6711505 DOI: 10.1371/journal.pone.0221633] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Accepted: 08/12/2019] [Indexed: 12/12/2022] Open
Abstract
Ozone is an asthma trigger. In mice, the gut microbiome contributes to ozone-induced airway hyperresponsiveness, a defining feature of asthma, but the mechanistic basis for the role of the gut microbiome has not been established. Gut bacteria can affect the function of distal organs by generating metabolites that enter the blood and circulate systemically. We hypothesized that global metabolomic profiling of serum collected from ozone exposed mice could be used to identify metabolites contributing to the role of the microbiome in ozone-induced airway hyperresponsiveness. Mice were treated for two weeks with a cocktail of antibiotics (ampicillin, neomycin, metronidazole, and vancomycin) in the drinking water or with control water and then exposed to air or ozone (2 ppm for 3 hours). Twenty four hours later, blood was harvested and serum analyzed via liquid-chromatography or gas-chromatography coupled to mass spectrometry. Antibiotic treatment significantly affected 228 of the 562 biochemicals identified, including reductions in the known bacterially-derived metabolites, equol, indole propionate, 3-indoxyl sulfate, and 3-(4-hydroxyphenyl)propionate, confirming the efficacy of the antibiotic treatment. Ozone exposure caused significant changes in 334 metabolites. Importantly, ozone-induced changes in many of these metabolites were different in control and antibiotic-treated mice. For example, most medium and long chain fatty acids declined by 20-50% with ozone exposure in antibiotic-treated but not control mice. Most taurine-conjugated bile acids increased with ozone exposure in antibiotic-treated but not control mice. Ozone also caused marked (9-fold and 5-fold) increases in the polyamines, spermine and spermidine, respectively, in control but not antibiotic-treated mice. Each of these metabolites has the capacity to alter airway responsiveness and may account for the role of the microbiome in pulmonary responses to ozone.
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Affiliation(s)
- Youngji Cho
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Ross S. Osgood
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Lauren N. Bell
- Metabolon Inc., Durham, North Carolina, United States of America
| | - Edward D. Karoly
- Metabolon Inc., Durham, North Carolina, United States of America
| | - Stephanie A. Shore
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
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Schwerdtfeger LA, Nealon NJ, Ryan EP, Tobet SA. Human colon function ex vivo: Dependence on oxygen and sensitivity to antibiotic. PLoS One 2019; 14:e0217170. [PMID: 31095647 PMCID: PMC6522050 DOI: 10.1371/journal.pone.0217170] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Accepted: 05/07/2019] [Indexed: 12/29/2022] Open
Abstract
Background Human intestines contain a heterogeneous collection of cells that include immune, neural and epithelial elements interacting in a highly complex physiology that is challenging to maintain ex vivo. There is an extreme oxygen gradient across the intestinal wall due in part to microbiota in the lumen and close to the gut wall, which complicates the design of tissue culture systems. The current study established the use of an organotypic slice model of human intestinal tissue derived from colonoscopy biopsies to study host-microbial interactions after antibiotic treatment, and the influence of oxygen concentration on gut wall function. Methods Organotypic slices from human colon biopsies collected during routine colonoscopy provided three-dimensional environments that maintained cellular morphology ex vivo. Biopsy slices were used to study impacts of oxygen concentrations and antibiotic treatments on epithelial proliferation rates, and metabolites from tissue culture supernatants. Results Immune function was validated via demonstration of a T lymphocyte response to Salmonella enterica serovar Typhimurium. Following 24 h of Salmonella exposure there was a significant increase in CD3+ T-lymphocytes in biopsy slices. Metabolite profiling of tissue culture supernatants validated the influence of antibiotic treatment under varied oxygen culture conditions on both host and microbiome-mediated metabolism. Epithelial health was influenced by oxygen and antibiotic. Increased epithelial proliferation was measured in lowered oxygen conditions (1% = 5.9 mmHg) compared to atmospheric conditions standard at 5000 feet above sea level in Colorado (~17% = 100 mmHg). Antibiotic treatment reduced epithelial proliferation only in 5.9 mmHg oxygen cultured slices. Conclusions A human colon organotypic slice model was established for applications ranging from gut epithelial proliferation to enteric pathogen influence on mucosal immune functions ex vivo. The results further support the need to account for oxygen concentration in primary tissue cultures, and that antibiotic use impacts gut-microbe-immune interactions.
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Affiliation(s)
- Luke A. Schwerdtfeger
- Department of Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America
| | - Nora Jean Nealon
- Department of Environmental & Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, United States of America
- Program in Cell and Molecular Biology, Colorado State University, Fort Collins, Colorado, United States of America
| | - Elizabeth P. Ryan
- Department of Environmental & Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, United States of America
- Program in Cell and Molecular Biology, Colorado State University, Fort Collins, Colorado, United States of America
| | - Stuart A. Tobet
- Department of Biomedical Sciences, Colorado State University, Fort Collins, Colorado, United States of America
- School of Biomedical Engineering, Colorado State University, Fort Collins, Colorado, United States of America
- * E-mail:
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Khan TJ, Hasan MN, Azhar EI, Yasir M. Association of gut dysbiosis with intestinal metabolites in response to antibiotic treatment. ACTA ACUST UNITED AC 2019. [DOI: 10.1016/j.humic.2018.11.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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11
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Adamovsky O, Buerger AN, Wormington AM, Ector N, Griffitt RJ, Bisesi JH, Martyniuk CJ. The gut microbiome and aquatic toxicology: An emerging concept for environmental health. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2018; 37:2758-2775. [PMID: 30094867 DOI: 10.1002/etc.4249] [Citation(s) in RCA: 74] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Revised: 07/02/2018] [Accepted: 08/08/2018] [Indexed: 06/08/2023]
Abstract
The microbiome plays an essential role in the health and onset of diseases in all animals, including humans. The microbiome has emerged as a central theme in environmental toxicology because microbes interact with the host immune system in addition to its role in chemical detoxification. Pathophysiological changes in the gastrointestinal tissue caused by ingested chemicals and metabolites generated from microbial biodegradation can lead to systemic adverse effects. The present critical review dissects what we know about the impacts of environmental contaminants on the microbiome of aquatic species, with special emphasis on the gut microbiome. We highlight some of the known major gut epithelium proteins in vertebrate hosts that are targets for chemical perturbation, proteins that also directly cross-talk with the microbiome. These proteins may act as molecular initiators for altered gut function, and we propose a general framework for an adverse outcome pathway that considers gut dysbiosis as a major contributing factor to adverse apical endpoints. We present 2 case studies, nanomaterials and hydrocarbons, with special emphasis on the Deepwater Horizon oil spill, to illustrate how investigations into the microbiome can improve understanding of adverse outcomes. Lastly, we present strategies to functionally relate chemical-induced gut dysbiosis with adverse outcomes because this is required to demonstrate cause-effect relationships. Further investigations into the toxicant-microbiome relationship may prove to be a major breakthrough for improving animal and human health. Environ Toxicol Chem 2018;37:2758-2775. © 2018 SETAC.
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Affiliation(s)
- Ondrej Adamovsky
- Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA
- Center for Environmental and Human Toxicology, University of Florida, Gainesville, Florida, USA
- Research Centre for Toxic Compounds in the Environment (RECETOX), Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Amanda N Buerger
- Center for Environmental and Human Toxicology, University of Florida, Gainesville, Florida, USA
- Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA
| | - Alexis M Wormington
- Center for Environmental and Human Toxicology, University of Florida, Gainesville, Florida, USA
- Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA
| | - Naomi Ector
- Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA
| | - Robert J Griffitt
- Division of Coastal Sciences, School of Ocean Science and Engineering, University of Southern Mississippi, Gulfport, Mississippi, USA
| | - Joseph H Bisesi
- Center for Environmental and Human Toxicology, University of Florida, Gainesville, Florida, USA
- Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, Florida, USA
| | - Christopher J Martyniuk
- Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida, USA
- Center for Environmental and Human Toxicology, University of Florida, Gainesville, Florida, USA
- Genetics Institute, University of Florida, Gainesville, Florida, USA
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Trexel J, Yoon GS, Keswani RK, McHugh C, Yeomans L, Vitvitsky V, Banerjee R, Sud S, Sun Y, Rosania GR, Stringer KA. Macrophage-Mediated Clofazimine Sequestration Is Accompanied by a Shift in Host Energy Metabolism. J Pharm Sci 2016; 106:1162-1174. [PMID: 28007559 DOI: 10.1016/j.xphs.2016.12.009] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Revised: 12/05/2016] [Accepted: 12/07/2016] [Indexed: 02/07/2023]
Abstract
Prolonged (8 weeks) oral administration of clofazimine results in a profound pharmacodynamic response-bioaccumulation in macrophages (including Kupffer cells) as intracellular crystal-like drug inclusions (CLDIs) with an associated increase in interleukin-1 receptor antagonist production. Notably, CLDI formation in Kupffer cells concomitantly occurs with the formation of macrophage-centric granulomas. Accordingly, we sought to understand the impact of these events on host metabolism using 1H-nuclear magnetic resonance metabolomics. Mice received a clofazimine or vehicle-enriched (sham) diet for at least 8 weeks. At 2 weeks, the antimicrobial activity of clofazimine was evident by changes in urine metabolites. From 2 to 8 weeks, there was a striking change in metabolite levels indicative of a reorientation of host energy metabolism paralleling the onset of CLDI and granuloma formation. This was evidenced by a progressive reduction in urine levels of metabolites involved in one-carbon metabolism with corresponding increases in whole blood, and changes in metabolites associated with lipid, nucleotide and amino acid metabolism, and glycolysis. Although clofazimine-fed mice ate more, they gained less weight than control mice. Together, these results indicate that macrophage sequestration of clofazimine as CLDIs and granuloma formation is accompanied by a profound metabolic disruption in energy homeostasis and one-carbon metabolism.
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Affiliation(s)
- Julie Trexel
- Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109; NMR Metabolomics Laboratory, University of Michigan, Ann Arbor, Michigan 48109
| | - Gi S Yoon
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109
| | - Rahul K Keswani
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109
| | - Cora McHugh
- Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109; NMR Metabolomics Laboratory, University of Michigan, Ann Arbor, Michigan 48109
| | - Larisa Yeomans
- NMR Metabolomics Laboratory, University of Michigan, Ann Arbor, Michigan 48109
| | - Victor Vitvitsky
- Department of Biological Chemistry, School of Medicine, University of Michigan, Ann Arbor, Michigan 48109
| | - Ruma Banerjee
- Department of Biological Chemistry, School of Medicine, University of Michigan, Ann Arbor, Michigan 48109
| | - Sudha Sud
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109
| | - Yihan Sun
- Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109; NMR Metabolomics Laboratory, University of Michigan, Ann Arbor, Michigan 48109
| | - Gus R Rosania
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109
| | - Kathleen A Stringer
- Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, Michigan 48109; NMR Metabolomics Laboratory, University of Michigan, Ann Arbor, Michigan 48109; Center for Computational Medicine and Bioinformatics, School of Medicine, University of Michigan, Ann Arbor, Michigan 48109.
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Sun J, Jin J, Beger RD, Cerniglia CE, Yang M, Chen H. Metabolomics evaluation of the impact of smokeless tobacco exposure on the oral bacterium Capnocytophaga sputigena. Toxicol In Vitro 2016; 36:133-141. [PMID: 27480511 DOI: 10.1016/j.tiv.2016.07.020] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Revised: 07/26/2016] [Accepted: 07/28/2016] [Indexed: 11/26/2022]
Abstract
The association between exposure to smokeless tobacco products (STP) and oral diseases is partially due to the physiological and pathological changes in the composition of the oral microbiome and its metabolic profile. However, it is not clear how STPs affect the physiology and ecology of oral microbiota. A UPLC/QTof-MS-based metabolomics study was employed to analyze metabolic alterations in oral bacterium, Capnocytophaga sputigena as a result of smokeless tobacco exposure and to assess the capability of the bacterium to metabolize nicotine. Pathway analysis of the metabolome profiles indicated that smokeless tobacco extracts caused oxidative stress in the bacterium. The metabolomics data also showed that the arginine-nitric oxide pathway was perturbed by the smokeless tobacco treatment. Results also showed that LC/MS was useful in identifying STP constituents and additives, including caffeine and many flavoring compounds. No significant changes in levels of nicotine and its major metabolites were found when C. sputigena was cultured in a nutrient rich medium, although hydroxylnicotine and cotinine N-oxide were detected in the bacterial metabolites suggesting that nicotine metabolism might be present as a minor degradation pathway in the bacterium. Study results provide new insights regarding the physiological and toxicological effects of smokeless tobacco on oral bacterium C. sputigena and associated oral health as well as measuring the ability of the oral bacterium to metabolize nicotine.
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Affiliation(s)
- Jinchun Sun
- Division of Systems Biology, National Center for Toxicological Research, US FDA, 3900 NCTR Rd, Jefferson, AR 72079, United States.
| | - Jinshan Jin
- Division of Microbiology, National Center for Toxicological Research, US FDA, 3900 NCTR Rd, Jefferson, AR 72079, United States
| | - Richard D Beger
- Division of Systems Biology, National Center for Toxicological Research, US FDA, 3900 NCTR Rd, Jefferson, AR 72079, United States
| | - Carl E Cerniglia
- Division of Microbiology, National Center for Toxicological Research, US FDA, 3900 NCTR Rd, Jefferson, AR 72079, United States
| | - Maocheng Yang
- Office of Science, Center for Tobacco Products, US FDA, 10903 New Hampshire Ave, Silver Spring, MD 20993, United States.
| | - Huizhong Chen
- Division of Microbiology, National Center for Toxicological Research, US FDA, 3900 NCTR Rd, Jefferson, AR 72079, United States.
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Metabolic profile modifications in milk after enrofloxacin administration studied by liquid chromatography coupled with high resolution mass spectrometry. J Chromatogr A 2016; 1460:92-9. [PMID: 27425761 DOI: 10.1016/j.chroma.2016.07.016] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Revised: 06/21/2016] [Accepted: 07/06/2016] [Indexed: 12/17/2022]
Abstract
High resolution accurate mass spectrometry (HRMS) operating in full scan MS mode was used in the search and identification of metabolites in raw milk from cows medicated with enrofloxacin. Data consisting of m/z features were taken throughout the entire chromatogram of milk samples from medicated animals and were compared with blank samples. Twenty six different compounds were identified. Some of them were attributed to structures related to enrofloxacin while others were dipeptides or tripeptides. Additionally, enrofloxacin was administered in a controlled treatment for three days. Milk was collected daily from the first day of treatment and until four days after in the search for the identified compounds. The obtained data were chemometrically treated by Principal Component Analysis. Samples were classified by this method into three different groups corresponding to days 1-2, day 3 and days 4-7 considering the different concentration profile evolution of metabolites during the days studied. Tentative metabolic pathways were designed to rationalize the presence of the newly identified compounds.
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Abstract
The human body is host to 100 trillion gut microbes, approximately 10-times more than all human cells. It is estimated that the approximately 500-1000 species residing in the human gut encode 150-fold more unique genes than the human genome. The gut microbiota has important functions in metabolic processing, such as energy production, immune cell development, food digestion, and epithelial homeostasis. It has been increasingly recognized that a dysregulated gut microbiome contributes in a significant way to a variety of diseases, including diabetes, obesity, cardiovascular diseases, allergies, and inflammatory bowel disease. In particular, accumulating evidence indicates that functional interactions between the gut microbiome and xenobiotics play a role in mediating chemical toxicity and causing or exacerbating human disease. This review summarizes emerging evidence that illustrates how xenobiotics can affect the gut microbiome structure, create functional changes to the gut microbiome, and become biotransformed by the gut microbiome.
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Affiliation(s)
- Kun Lu
- Kun Lu, PhD, is an Assistant Professor in the Department of Environmental Health Science at the University of Georgia, Athens, Georgia. Ridwan Mahbub, BSA, MS, was a graduate student in the laboratory of Dr. Kun Lu at University of Georgia, Athens, Georgia. James G. Fox, DVM, is currently Professor and Director of the Division of Comparative Medicine at the Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Ridwan Mahbub
- Kun Lu, PhD, is an Assistant Professor in the Department of Environmental Health Science at the University of Georgia, Athens, Georgia. Ridwan Mahbub, BSA, MS, was a graduate student in the laboratory of Dr. Kun Lu at University of Georgia, Athens, Georgia. James G. Fox, DVM, is currently Professor and Director of the Division of Comparative Medicine at the Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - James G Fox
- Kun Lu, PhD, is an Assistant Professor in the Department of Environmental Health Science at the University of Georgia, Athens, Georgia. Ridwan Mahbub, BSA, MS, was a graduate student in the laboratory of Dr. Kun Lu at University of Georgia, Athens, Georgia. James G. Fox, DVM, is currently Professor and Director of the Division of Comparative Medicine at the Massachusetts Institute of Technology, Cambridge, Massachusetts
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16
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Wu WH, Chao CC, Wang FS. Reducing the effects of drug toxicity on glutathione metabolism. J Taiwan Inst Chem Eng 2016. [DOI: 10.1016/j.jtice.2015.10.040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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17
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Metabolic study of enrofloxacin and metabolic profile modifications in broiler chicken tissues after drug administration. Food Chem 2015; 172:30-9. [DOI: 10.1016/j.foodchem.2014.09.025] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2014] [Revised: 09/02/2014] [Accepted: 09/06/2014] [Indexed: 01/01/2023]
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18
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Identification of a metabolic biomarker panel in rats for prediction of acute and idiosyncratic hepatotoxicity. Comput Struct Biotechnol J 2014; 10:78-89. [PMID: 25379137 PMCID: PMC4204381 DOI: 10.1016/j.csbj.2014.08.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
It has been estimated that 10% of acute liver failure is due to “idiosyncratic hepatotoxicity”. The inability to identify such compounds with classical preclinical markers of hepatotoxicity has driven the need to discover a mechanism-based biomarker panel for hepatotoxicity. Seven compounds were included in this study: two overt hepatotoxicants (acetaminophen and carbon tetrachloride), two idiosyncratic hepatotoxicants (felbamate and dantrolene), and three non-hepatotoxicants (meloxicam, penicillin and metformin). Male Sprague–Dawley rats were orally gavaged with a single dose of vehicle, low dose or high dose of the compounds. At 6 h and 24 h post-dosing, blood was collected for metabolomics and clinical chemistry analyses, while organs were collected for histopathology analysis. Forty-one metabolites from previous hepatotoxicity studies were semi-quantified and were used to build models to predict hepatotoxicity. The selected metabolites were involved in various pathways, which have been noted to be linked to the underlying mechanisms of hepatotoxicity. PLS models based on all 41 metabolite or smaller subsets of 6 (6 h), 7 (24 h) and 20 (6 h and 24 h) metabolites resulted in models with an accuracy of at least 97.4% for the hold-out test set and 100% for training sets. When applied to the external test sets, the PLS models predicted that 1 of 9 rats at both 6 h and 24 h treated with idiosyncratic liver toxicants was exposed to a hepatotoxic chemical. In conclusion, the biomarker panel might provide information that along with other endpoint data (e.g., transcriptomics and proteomics) may diagnose acute and idiosyncratic hepatotoxicity in a clinical setting.
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Kok MGM, Swann JR, Wilson ID, Somsen GW, de Jong GJ. Hydrophilic interaction chromatography-mass spectrometry for anionic metabolic profiling of urine from antibiotic-treated rats. J Pharm Biomed Anal 2014; 92:98-104. [PMID: 24503197 DOI: 10.1016/j.jpba.2014.01.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2013] [Accepted: 01/09/2014] [Indexed: 11/26/2022]
Abstract
Hydrophilic interaction chromatography-mass spectrometry (HILIC-MS) was used for anionic metabolic profiling of urine from antibiotic-treated rats to study microbial-host co-metabolism. Rats were treated with the antibiotics penicillin G and streptomycin sulfate for four or eight days and compared to a control group. Urine samples were collected at day zero, four and eight, and analyzed by HILIC-MS. Multivariate data analysis was applied to the urinary metabolic profiles to identify biochemical variation between the treatment groups. Principal component analysis found a clear distinction between those animals receiving antibiotics and the control animals, with twenty-nine discriminatory compounds of which twenty were down-regulated and nine up-regulated upon treatment. In the treatment group receiving antibiotics for four days, a recovery effect was observed for seven compounds after cessation of antibiotic administration. Thirteen discriminatory compounds could be putatively identified based on their accurate mass, including aconitic acid, benzenediol sulfate, ferulic acid sulfate, hippuric acid, indoxyl sulfate, penicillin G, phenol and vanillin 4-sulfate. The rat urine samples had previously been analyzed by capillary electrophoresis (CE) with MS detection and proton nuclear magnetic resonance ((1)H NMR) spectroscopy. Using CE-MS and (1)H NMR spectroscopy seventeen and twenty-five discriminatory compounds were found, respectively. Both hippuric acid and indoxyl sulfate were detected across all three platforms. Additionally, eight compounds were observed with both HILIC-MS and CE-MS. Overall, HILIC-MS appears to be highly complementary to CE-MS and (1)H NMR spectroscopy, identifying additional compounds that discriminate the urine samples from antibiotic-treated and control rats.
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Affiliation(s)
- Miranda G M Kok
- Biomolecular Analysis, Department of Pharmaceutical Sciences, Utrecht University, P.O. Box 80082, 3508 TB Utrecht, The Netherlands; Research group Analysis Techniques in Life Sciences, Avans Hogeschool, P.O. Box 90116, 4800 RA Breda, The Netherlands.
| | - Jonathan R Swann
- Department of Food and Nutritional Sciences, School of Chemistry, Food and Pharmacy, University of Reading, Whiteknights, Reading RG6 6AP, United Kingdom
| | - Ian D Wilson
- Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, South Kensington, London SW7 2AZ, United Kingdom
| | - Govert W Somsen
- AIMSS Division of BioAnalytical Chemistry, Department of Chemistry and Pharmaceutical Sciences, VU University, de Boelelaan 1083, 1081 HV Amsterdam, The Netherlands
| | - Gerhardus J de Jong
- Biomolecular Analysis, Department of Pharmaceutical Sciences, Utrecht University, P.O. Box 80082, 3508 TB Utrecht, The Netherlands; Research group Analysis Techniques in Life Sciences, Avans Hogeschool, P.O. Box 90116, 4800 RA Breda, The Netherlands
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Hermo MP, Saurina J, Barbosa J, Barrón D. High-resolution mass spectrometry applied to the study of metabolome modifications in various chicken tissues after amoxicillin administration. Food Chem 2014; 153:405-13. [PMID: 24491747 DOI: 10.1016/j.foodchem.2013.12.080] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2013] [Revised: 12/20/2013] [Accepted: 12/21/2013] [Indexed: 01/18/2023]
Abstract
The performance of high resolution accurate mass spectrometry (HRMS) operating in full scan MS mode was investigated for the quantitative determination of amoxicillin (AMX) as well as qualitative analysis of metabolomic profiles in tissues of medicated chickens. The metabolomic approach was exploited to compile analytical information on changes in the metabolome of muscle, kidney and liver from chickens subjected to a pharmacological program with AMX. Data consisting of m/z features taken throughout the entire chromatogram were extracted and filtered to be treated by Principal Component Analysis. As a result, it was found that medicated and non-treated animals were clearly clustered in distinct groups. Besides, the multivariate analysis revealed some relevant mass features contributing to this separation. In this context, recognizing those potential markers of each chicken class was a priority research for both metabolite identification and, obviously, evaluation of food quality and health effects associated to food consumption.
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Affiliation(s)
- M P Hermo
- Department of Analytical Chemistry, Food and Nutrition Torribera Campus, University of Barcelona, Avda. Prat de la Riba, 171, Sta. Coloma de Gramenet, E-08921 Barcelona, Spain
| | - J Saurina
- Department of Analytical Chemistry, University of Barcelona, Avda. Diagonal 645, E-08028 Barcelona, Spain
| | - J Barbosa
- Department of Analytical Chemistry, Food and Nutrition Torribera Campus, University of Barcelona, Avda. Prat de la Riba, 171, Sta. Coloma de Gramenet, E-08921 Barcelona, Spain; Department of Analytical Chemistry, University of Barcelona, Avda. Diagonal 645, E-08028 Barcelona, Spain
| | - D Barrón
- Department of Analytical Chemistry, Food and Nutrition Torribera Campus, University of Barcelona, Avda. Prat de la Riba, 171, Sta. Coloma de Gramenet, E-08921 Barcelona, Spain.
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