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Cross-Platform Comparison of Amino Acid Metabolic Profiling in Three Model Organisms Used in Environmental Metabolomics

Environmental metabolomics is a promising approach to study pollutant impacts to target organisms in both terrestrial and aquatic environments. To this end, both nuclear magnetic resonance (NMR)- and mass spectrometry (MS)-based methods are used to profile amino acids in different environmental meta...

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Autores principales: D’eon, Jessica C., Lankadurai, Brian P., Simpson, André J., Reiner, Eric J., Poirier, David G., Vanlerberghe, Greg C., Simpson, Myrna J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10058405/
https://www.ncbi.nlm.nih.gov/pubmed/36984842
http://dx.doi.org/10.3390/metabo13030402
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author D’eon, Jessica C.
Lankadurai, Brian P.
Simpson, André J.
Reiner, Eric J.
Poirier, David G.
Vanlerberghe, Greg C.
Simpson, Myrna J.
author_facet D’eon, Jessica C.
Lankadurai, Brian P.
Simpson, André J.
Reiner, Eric J.
Poirier, David G.
Vanlerberghe, Greg C.
Simpson, Myrna J.
author_sort D’eon, Jessica C.
collection PubMed
description Environmental metabolomics is a promising approach to study pollutant impacts to target organisms in both terrestrial and aquatic environments. To this end, both nuclear magnetic resonance (NMR)- and mass spectrometry (MS)-based methods are used to profile amino acids in different environmental metabolomic studies. However, these two methods have not been compared directly which is an important consideration for broader comparisons in the environmental metabolomics field. We compared the quantification of 18 amino acids in the tissue extracts of Daphnia magna, a common model organism used in both ecotoxicology and ecology, using both (1)H NMR spectroscopy and liquid chromatography with tandem MS (LC-MS/MS). (1)H NMR quantification of amino acids agreed with the LC-MS/MS quantification for 17 of 18 amino acids measured. We also tested both quantitative methods in a D. magna sub-lethal exposure study to copper and lithium. Again, both NMR and LC-MS/MS measurements showed agreement. We extended our analyses with extracts from the earthworm Eisenia fetida and the plant model Nicotiana tabacum. The concentrations of amino acids by both (1)H NMR and LC-MS/MS, agreed and demonstrated the robustness of both techniques for quantitative metabolomics. These findings demonstrate the compatibility of these two analytical platforms for amino acid profiling in environmentally relevant model organisms and emphasizes that data from either method is robust for comparisons across studies to further build the knowledge base related to pollutant exposure impacts and toxic responses of diverse environmental organisms.
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spelling pubmed-100584052023-03-30 Cross-Platform Comparison of Amino Acid Metabolic Profiling in Three Model Organisms Used in Environmental Metabolomics D’eon, Jessica C. Lankadurai, Brian P. Simpson, André J. Reiner, Eric J. Poirier, David G. Vanlerberghe, Greg C. Simpson, Myrna J. Metabolites Article Environmental metabolomics is a promising approach to study pollutant impacts to target organisms in both terrestrial and aquatic environments. To this end, both nuclear magnetic resonance (NMR)- and mass spectrometry (MS)-based methods are used to profile amino acids in different environmental metabolomic studies. However, these two methods have not been compared directly which is an important consideration for broader comparisons in the environmental metabolomics field. We compared the quantification of 18 amino acids in the tissue extracts of Daphnia magna, a common model organism used in both ecotoxicology and ecology, using both (1)H NMR spectroscopy and liquid chromatography with tandem MS (LC-MS/MS). (1)H NMR quantification of amino acids agreed with the LC-MS/MS quantification for 17 of 18 amino acids measured. We also tested both quantitative methods in a D. magna sub-lethal exposure study to copper and lithium. Again, both NMR and LC-MS/MS measurements showed agreement. We extended our analyses with extracts from the earthworm Eisenia fetida and the plant model Nicotiana tabacum. The concentrations of amino acids by both (1)H NMR and LC-MS/MS, agreed and demonstrated the robustness of both techniques for quantitative metabolomics. These findings demonstrate the compatibility of these two analytical platforms for amino acid profiling in environmentally relevant model organisms and emphasizes that data from either method is robust for comparisons across studies to further build the knowledge base related to pollutant exposure impacts and toxic responses of diverse environmental organisms. MDPI 2023-03-08 /pmc/articles/PMC10058405/ /pubmed/36984842 http://dx.doi.org/10.3390/metabo13030402 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
D’eon, Jessica C.
Lankadurai, Brian P.
Simpson, André J.
Reiner, Eric J.
Poirier, David G.
Vanlerberghe, Greg C.
Simpson, Myrna J.
Cross-Platform Comparison of Amino Acid Metabolic Profiling in Three Model Organisms Used in Environmental Metabolomics
title Cross-Platform Comparison of Amino Acid Metabolic Profiling in Three Model Organisms Used in Environmental Metabolomics
title_full Cross-Platform Comparison of Amino Acid Metabolic Profiling in Three Model Organisms Used in Environmental Metabolomics
title_fullStr Cross-Platform Comparison of Amino Acid Metabolic Profiling in Three Model Organisms Used in Environmental Metabolomics
title_full_unstemmed Cross-Platform Comparison of Amino Acid Metabolic Profiling in Three Model Organisms Used in Environmental Metabolomics
title_short Cross-Platform Comparison of Amino Acid Metabolic Profiling in Three Model Organisms Used in Environmental Metabolomics
title_sort cross-platform comparison of amino acid metabolic profiling in three model organisms used in environmental metabolomics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10058405/
https://www.ncbi.nlm.nih.gov/pubmed/36984842
http://dx.doi.org/10.3390/metabo13030402
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