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Metabolite profiling for biomarkers in Schistosoma haematobium infection and associated bladder pathologies
BACKGROUND: Metabolic fingerprinting analysis can offer insights into underlying reactions in a biological system; hence it is crucial to the understanding of disease pathogenesis and could provide useful tools for discovering biomarkers. We sought to examine the urine and plasma metabolome in indiv...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5945272/ https://www.ncbi.nlm.nih.gov/pubmed/29708967 http://dx.doi.org/10.1371/journal.pntd.0006452 |
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author | Adebayo, Adewale S. Mundhe, Swapnil D. Awobode, Henrietta O. Onile, Olugbenga S. Agunloye, Atinuke M. Isokpehi, Raphael D. Shouche, Yogesh S. Santhakumari, Bayatigeri Anumudu, Chiaka I. |
author_facet | Adebayo, Adewale S. Mundhe, Swapnil D. Awobode, Henrietta O. Onile, Olugbenga S. Agunloye, Atinuke M. Isokpehi, Raphael D. Shouche, Yogesh S. Santhakumari, Bayatigeri Anumudu, Chiaka I. |
author_sort | Adebayo, Adewale S. |
collection | PubMed |
description | BACKGROUND: Metabolic fingerprinting analysis can offer insights into underlying reactions in a biological system; hence it is crucial to the understanding of disease pathogenesis and could provide useful tools for discovering biomarkers. We sought to examine the urine and plasma metabolome in individuals affected by urogenital schistosomiasis and its associated-bladder pathologies. METHODOLOGY: Blood and midstream urine were obtained from volunteers who matched our inclusion criteria among residents from Eggua, southwestern Nigeria. Samples were screened by urinalysis, microscopy, PCR and ultrasonography, and categorised as advanced (urogenital schistosomiasis associated-bladder pathologies), infection-only (urogenital schistosomiasis alone) and controls (no infection and no pathology). Metabolites were extracted and data acquired with ultra high-performance liquid chromatography coupled with Thermo Q-Exactive orbitrap HRMS. Data was analysed with MetaboAnalyst, Workflow4Metabolomics, HMDB, LipidMaps and other bioinformatics tools, with univariate and multivariate statistics for metabolite selection. PRINCIPAL FINDINGS: There were low levels of host sex steroids, and high levels of several benzenoids, catechols and lipids (including ganglioside, phosphatidylcholine and phosphatidylethanolamine), in infection-only and advanced cases (FDR<0.05, VIP>2, delta>2.0). Metabolites involved in biochemical pathways related to chorismate production were abundant in controls, while those related to choline and sphingolipid metabolism were upregulated in advanced cases (FDR<0.05). Some of these human host and Schistosoma haematobium molecules, including catechol estrogens, were good markers to distinguish infection-only and advanced cases. CONCLUSIONS: Altered glycerophospholipid and sphingolipid metabolism could be key factors promoting the development of bladder pathologies and tumours during urogenital schistosomiasis. |
format | Online Article Text |
id | pubmed-5945272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-59452722018-05-25 Metabolite profiling for biomarkers in Schistosoma haematobium infection and associated bladder pathologies Adebayo, Adewale S. Mundhe, Swapnil D. Awobode, Henrietta O. Onile, Olugbenga S. Agunloye, Atinuke M. Isokpehi, Raphael D. Shouche, Yogesh S. Santhakumari, Bayatigeri Anumudu, Chiaka I. PLoS Negl Trop Dis Research Article BACKGROUND: Metabolic fingerprinting analysis can offer insights into underlying reactions in a biological system; hence it is crucial to the understanding of disease pathogenesis and could provide useful tools for discovering biomarkers. We sought to examine the urine and plasma metabolome in individuals affected by urogenital schistosomiasis and its associated-bladder pathologies. METHODOLOGY: Blood and midstream urine were obtained from volunteers who matched our inclusion criteria among residents from Eggua, southwestern Nigeria. Samples were screened by urinalysis, microscopy, PCR and ultrasonography, and categorised as advanced (urogenital schistosomiasis associated-bladder pathologies), infection-only (urogenital schistosomiasis alone) and controls (no infection and no pathology). Metabolites were extracted and data acquired with ultra high-performance liquid chromatography coupled with Thermo Q-Exactive orbitrap HRMS. Data was analysed with MetaboAnalyst, Workflow4Metabolomics, HMDB, LipidMaps and other bioinformatics tools, with univariate and multivariate statistics for metabolite selection. PRINCIPAL FINDINGS: There were low levels of host sex steroids, and high levels of several benzenoids, catechols and lipids (including ganglioside, phosphatidylcholine and phosphatidylethanolamine), in infection-only and advanced cases (FDR<0.05, VIP>2, delta>2.0). Metabolites involved in biochemical pathways related to chorismate production were abundant in controls, while those related to choline and sphingolipid metabolism were upregulated in advanced cases (FDR<0.05). Some of these human host and Schistosoma haematobium molecules, including catechol estrogens, were good markers to distinguish infection-only and advanced cases. CONCLUSIONS: Altered glycerophospholipid and sphingolipid metabolism could be key factors promoting the development of bladder pathologies and tumours during urogenital schistosomiasis. Public Library of Science 2018-04-30 /pmc/articles/PMC5945272/ /pubmed/29708967 http://dx.doi.org/10.1371/journal.pntd.0006452 Text en © 2018 Adebayo et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Adebayo, Adewale S. Mundhe, Swapnil D. Awobode, Henrietta O. Onile, Olugbenga S. Agunloye, Atinuke M. Isokpehi, Raphael D. Shouche, Yogesh S. Santhakumari, Bayatigeri Anumudu, Chiaka I. Metabolite profiling for biomarkers in Schistosoma haematobium infection and associated bladder pathologies |
title | Metabolite profiling for biomarkers in Schistosoma haematobium infection and associated bladder pathologies |
title_full | Metabolite profiling for biomarkers in Schistosoma haematobium infection and associated bladder pathologies |
title_fullStr | Metabolite profiling for biomarkers in Schistosoma haematobium infection and associated bladder pathologies |
title_full_unstemmed | Metabolite profiling for biomarkers in Schistosoma haematobium infection and associated bladder pathologies |
title_short | Metabolite profiling for biomarkers in Schistosoma haematobium infection and associated bladder pathologies |
title_sort | metabolite profiling for biomarkers in schistosoma haematobium infection and associated bladder pathologies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5945272/ https://www.ncbi.nlm.nih.gov/pubmed/29708967 http://dx.doi.org/10.1371/journal.pntd.0006452 |
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