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Hydrophilic interaction chromatography-mass spectrometry for anionic metabolic profiling of urine from antibiotic-treated rats

Hydrophilic interaction chromatography-mass spectrometry for anionic metabolic profiling of urine from antibiotic-treated rats
Hydrophilic interaction chromatography-mass spectrometry for anionic metabolic profiling of urine from antibiotic-treated rats

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.

Animals, Anions/chemistry, Anti-Bacterial Agents/pharmacology, Chromatography, Liquid/methods, Electrophoresis, Capillary/methods, Hippurates/chemistry, Hydrophobic and Hydrophilic Interactions, Magnetic Resonance Spectroscopy/methods, Male, Mass Spectrometry/methods, Metabolome/drug effects, Metabolomics/methods, Penicillin G/chemistry, Principal Component Analysis/methods, Rats, Rats, Wistar, Streptomycin/chemistry, Urine/chemistry
0731-7085
98-104
Kok, Miranda G.M.
f0acf585-7a72-4e73-92c3-0c318f8a4bd1
Swann, Jonathan R.
7c11a66b-f4b8-4dbf-aa17-ad8b0561b85c
Wilson, Ian D.
d7da811b-6cc9-4166-82d0-e780c95122d2
Somsen, Govert W.
350a8603-2ed1-4096-ae44-daa9ee47d850
de Jong, Gerhardus J.
526765f9-3c03-4bba-968e-e944bd2a49d1
Kok, Miranda G.M.
f0acf585-7a72-4e73-92c3-0c318f8a4bd1
Swann, Jonathan R.
7c11a66b-f4b8-4dbf-aa17-ad8b0561b85c
Wilson, Ian D.
d7da811b-6cc9-4166-82d0-e780c95122d2
Somsen, Govert W.
350a8603-2ed1-4096-ae44-daa9ee47d850
de Jong, Gerhardus J.
526765f9-3c03-4bba-968e-e944bd2a49d1

Kok, Miranda G.M., Swann, Jonathan R., Wilson, Ian D., Somsen, Govert W. and de Jong, Gerhardus J. (2014) Hydrophilic interaction chromatography-mass spectrometry for anionic metabolic profiling of urine from antibiotic-treated rats. Journal of Pharmaceutical and Biomedical Analysis, 92, 98-104. (doi:10.1016/j.jpba.2014.01.008).

Record type: Article

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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More information

Published date: 15 April 2014
Keywords: Animals, Anions/chemistry, Anti-Bacterial Agents/pharmacology, Chromatography, Liquid/methods, Electrophoresis, Capillary/methods, Hippurates/chemistry, Hydrophobic and Hydrophilic Interactions, Magnetic Resonance Spectroscopy/methods, Male, Mass Spectrometry/methods, Metabolome/drug effects, Metabolomics/methods, Penicillin G/chemistry, Principal Component Analysis/methods, Rats, Rats, Wistar, Streptomycin/chemistry, Urine/chemistry

Identifiers

Local EPrints ID: 440795
URI: http://eprints.soton.ac.uk/id/eprint/440795
ISSN: 0731-7085
PURE UUID: f5d6c052-f6ee-4aca-8f10-e1724012167e
ORCID for Jonathan R. Swann: ORCID iD orcid.org/0000-0002-6485-4529

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Date deposited: 18 May 2020 16:59
Last modified: 16 Apr 2024 01:58

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Contributors

Author: Miranda G.M. Kok
Author: Ian D. Wilson
Author: Govert W. Somsen
Author: Gerhardus J. de Jong

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