Elucidation of the Metabolic Network ofHelicobacter pyloriJ99 and Malaysian Clinical Strains by Phenotype Microarray
Background: Helicobacter pylori colonizes almost half of the human population worldwide. H. pylori strains are genetically diverse, and the specific genotypes are associated with various clinical manifestations including gastric adenocarcinoma, peptic ulcer disease (PUD), and nonulcer dyspepsia (NUD...
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| Format: | Article |
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Wiley Open Access
2016
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| author | Lee, W.C. Goh, K.L. Loke, M.F. Vadivelu, J. |
| author_facet | Lee, W.C. Goh, K.L. Loke, M.F. Vadivelu, J. |
| author_sort | Lee, W.C. |
| collection | UM |
| description | Background: Helicobacter pylori colonizes almost half of the human population worldwide. H. pylori strains are genetically diverse, and the specific genotypes are associated with various clinical manifestations including gastric adenocarcinoma, peptic ulcer disease (PUD), and nonulcer dyspepsia (NUD). However, our current knowledge of the H. pylori metabolism is limited. To understand the metabolic differences among H. pylori strains, we investigated four Malaysian H. pylori clinical strains, which had been previously sequenced, and a standard strain, H. pylori J99, at the phenotypic level. Materials and Methods: The phenotypes of the H. pylori strains were profiled using the Biolog Phenotype Microarray system to corroborate genomic data. We initiated the analyses by predicting carbon and nitrogen metabolic pathways from the H. pylori genomic data from the KEGG database. Biolog PM aided the validation of the prediction and provided a more intensive analysis of the H. pylori phenomes. Results: We have identified a core set of metabolic nutrient sources that was utilized by all strains tested and another set that was differentially utilized by only the local strains. Pentose sugars are the preferred carbon nutrients utilized by H. pylori. The amino acids l-aspartic acid, d-alanine, and l-asparagine serve as both carbon and nitrogen sources in the metabolism of the bacterium. Conclusion: The phenotypic profile based on this study provides a better understanding on the survival of H. pylori in its natural host. Our data serve as a foundation for future challenges in correlating interstrain metabolic differences in H. pylori. |
| first_indexed | 2024-03-06T05:47:21Z |
| format | Article |
| id | um.eprints-19124 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:47:21Z |
| publishDate | 2016 |
| publisher | Wiley Open Access |
| record_format | dspace |
| spelling | um.eprints-191242018-09-05T08:23:28Z http://eprints.um.edu.my/19124/ Elucidation of the Metabolic Network ofHelicobacter pyloriJ99 and Malaysian Clinical Strains by Phenotype Microarray Lee, W.C. Goh, K.L. Loke, M.F. Vadivelu, J. R Medicine Background: Helicobacter pylori colonizes almost half of the human population worldwide. H. pylori strains are genetically diverse, and the specific genotypes are associated with various clinical manifestations including gastric adenocarcinoma, peptic ulcer disease (PUD), and nonulcer dyspepsia (NUD). However, our current knowledge of the H. pylori metabolism is limited. To understand the metabolic differences among H. pylori strains, we investigated four Malaysian H. pylori clinical strains, which had been previously sequenced, and a standard strain, H. pylori J99, at the phenotypic level. Materials and Methods: The phenotypes of the H. pylori strains were profiled using the Biolog Phenotype Microarray system to corroborate genomic data. We initiated the analyses by predicting carbon and nitrogen metabolic pathways from the H. pylori genomic data from the KEGG database. Biolog PM aided the validation of the prediction and provided a more intensive analysis of the H. pylori phenomes. Results: We have identified a core set of metabolic nutrient sources that was utilized by all strains tested and another set that was differentially utilized by only the local strains. Pentose sugars are the preferred carbon nutrients utilized by H. pylori. The amino acids l-aspartic acid, d-alanine, and l-asparagine serve as both carbon and nitrogen sources in the metabolism of the bacterium. Conclusion: The phenotypic profile based on this study provides a better understanding on the survival of H. pylori in its natural host. Our data serve as a foundation for future challenges in correlating interstrain metabolic differences in H. pylori. Wiley Open Access 2016 Article PeerReviewed Lee, W.C. and Goh, K.L. and Loke, M.F. and Vadivelu, J. (2016) Elucidation of the Metabolic Network ofHelicobacter pyloriJ99 and Malaysian Clinical Strains by Phenotype Microarray. Helicobacter, 22 (1). e12321. ISSN 1083-4389, DOI https://doi.org/10.1111/hel.12321 <https://doi.org/10.1111/hel.12321>. http://dx.doi.org/10.1111/hel.12321 doi:10.1111/hel.12321 |
| spellingShingle | R Medicine Lee, W.C. Goh, K.L. Loke, M.F. Vadivelu, J. Elucidation of the Metabolic Network ofHelicobacter pyloriJ99 and Malaysian Clinical Strains by Phenotype Microarray |
| title | Elucidation of the Metabolic Network ofHelicobacter pyloriJ99 and Malaysian Clinical Strains by Phenotype Microarray |
| title_full | Elucidation of the Metabolic Network ofHelicobacter pyloriJ99 and Malaysian Clinical Strains by Phenotype Microarray |
| title_fullStr | Elucidation of the Metabolic Network ofHelicobacter pyloriJ99 and Malaysian Clinical Strains by Phenotype Microarray |
| title_full_unstemmed | Elucidation of the Metabolic Network ofHelicobacter pyloriJ99 and Malaysian Clinical Strains by Phenotype Microarray |
| title_short | Elucidation of the Metabolic Network ofHelicobacter pyloriJ99 and Malaysian Clinical Strains by Phenotype Microarray |
| title_sort | elucidation of the metabolic network ofhelicobacter pylorij99 and malaysian clinical strains by phenotype microarray |
| topic | R Medicine |
| work_keys_str_mv | AT leewc elucidationofthemetabolicnetworkofhelicobacterpylorij99andmalaysianclinicalstrainsbyphenotypemicroarray AT gohkl elucidationofthemetabolicnetworkofhelicobacterpylorij99andmalaysianclinicalstrainsbyphenotypemicroarray AT lokemf elucidationofthemetabolicnetworkofhelicobacterpylorij99andmalaysianclinicalstrainsbyphenotypemicroarray AT vadiveluj elucidationofthemetabolicnetworkofhelicobacterpylorij99andmalaysianclinicalstrainsbyphenotypemicroarray |