Determination of Ancylostoma caninum ova viability using metabolic profiling
Differentiation between viable and non-viable hookworm ova in environmental samples is necessary in order to implement strategies to mitigate re-infections in endemic regions. In this study, an untargeted metabolic profiling method was developed that utilised gas chromatography-mass spectrometry (GC...
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| Veröffentlicht in: | Parasitology research (1987) 2016-09, Vol.115 (9), p.3485-3492 |
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| container_title | Parasitology research (1987) |
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| creator | Gyawali, P. Beale, D. J. Ahmed, W. Karpe, A. V. Magalhaes, R. J. Soares Morrison, P. D. Palombo, E. A. |
| description | Differentiation between viable and non-viable hookworm ova in environmental samples is necessary in order to implement strategies to mitigate re-infections in endemic regions. In this study, an untargeted metabolic profiling method was developed that utilised gas chromatography-mass spectrometry (GC-MS) in order to investigate hookworm ova viability.
Ancylostoma caninum
was used to investigate the metabolites within viable and non-viable ova. Univariate and multivariate statistical analyses of the data resulted in the identification of 53 significant metabolites across all hookworm ova samples. The major compounds observed in viable and non-viable hookworm ova were tetradecanoic acid, commonly known as myristic acid [fold change (FC) = 0.4], and dodecanoic acid, commonly known as lauric acid (FC = 0.388). Additionally, the viable ova had self-protecting metabolites such as prostaglandins, a typical feature absent in non-viable ova. The results of this study demonstrate that metabolic profiling using GC-MS methods can be used to determine the viability of canine hookworm ova. Further studies are needed to assess the applicability of metabolic profiling using GC-MS to detect viable hookworm ova in the mixed (viable and non-viable) populations from environmental samples and identify the metabolites specific to human hookworm species. |
| doi_str_mv | 10.1007/s00436-016-5112-4 |
| format | Article |
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Ancylostoma caninum
was used to investigate the metabolites within viable and non-viable ova. Univariate and multivariate statistical analyses of the data resulted in the identification of 53 significant metabolites across all hookworm ova samples. The major compounds observed in viable and non-viable hookworm ova were tetradecanoic acid, commonly known as myristic acid [fold change (FC) = 0.4], and dodecanoic acid, commonly known as lauric acid (FC = 0.388). Additionally, the viable ova had self-protecting metabolites such as prostaglandins, a typical feature absent in non-viable ova. The results of this study demonstrate that metabolic profiling using GC-MS methods can be used to determine the viability of canine hookworm ova. Further studies are needed to assess the applicability of metabolic profiling using GC-MS to detect viable hookworm ova in the mixed (viable and non-viable) populations from environmental samples and identify the metabolites specific to human hookworm species.</description><identifier>ISSN: 0932-0113</identifier><identifier>EISSN: 1432-1955</identifier><identifier>DOI: 10.1007/s00436-016-5112-4</identifier><identifier>PMID: 27236650</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Ancylostoma - metabolism ; Ancylostoma - physiology ; Ancylostoma caninum ; Ancylostomiasis - parasitology ; Ancylostomiasis - pathology ; Ancylostomiasis - veterinary ; Animals ; Biomedical and Life Sciences ; Biomedicine ; Dog Diseases - parasitology ; Dogs ; Feces - parasitology ; Gas Chromatography-Mass Spectrometry ; Health aspects ; Humans ; Immunology ; Lauric Acids - metabolism ; Medical Microbiology ; Metabolism ; Metabolome - physiology ; Microbiology ; Myristic Acid - metabolism ; Observations ; Original Paper ; Ovum - physiology ; Prostaglandins - metabolism ; Roundworms</subject><ispartof>Parasitology research (1987), 2016-09, Vol.115 (9), p.3485-3492</ispartof><rights>Springer-Verlag Berlin Heidelberg 2016</rights><rights>COPYRIGHT 2016 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c444t-e9d36967da7f563bfb058e71267ae4612f479083fbc033176af2260b53ae7f823</citedby><cites>FETCH-LOGICAL-c444t-e9d36967da7f563bfb058e71267ae4612f479083fbc033176af2260b53ae7f823</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00436-016-5112-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00436-016-5112-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27236650$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gyawali, P.</creatorcontrib><creatorcontrib>Beale, D. J.</creatorcontrib><creatorcontrib>Ahmed, W.</creatorcontrib><creatorcontrib>Karpe, A. V.</creatorcontrib><creatorcontrib>Magalhaes, R. J. Soares</creatorcontrib><creatorcontrib>Morrison, P. D.</creatorcontrib><creatorcontrib>Palombo, E. A.</creatorcontrib><title>Determination of Ancylostoma caninum ova viability using metabolic profiling</title><title>Parasitology research (1987)</title><addtitle>Parasitol Res</addtitle><addtitle>Parasitol Res</addtitle><description>Differentiation between viable and non-viable hookworm ova in environmental samples is necessary in order to implement strategies to mitigate re-infections in endemic regions. In this study, an untargeted metabolic profiling method was developed that utilised gas chromatography-mass spectrometry (GC-MS) in order to investigate hookworm ova viability.
Ancylostoma caninum
was used to investigate the metabolites within viable and non-viable ova. Univariate and multivariate statistical analyses of the data resulted in the identification of 53 significant metabolites across all hookworm ova samples. The major compounds observed in viable and non-viable hookworm ova were tetradecanoic acid, commonly known as myristic acid [fold change (FC) = 0.4], and dodecanoic acid, commonly known as lauric acid (FC = 0.388). Additionally, the viable ova had self-protecting metabolites such as prostaglandins, a typical feature absent in non-viable ova. The results of this study demonstrate that metabolic profiling using GC-MS methods can be used to determine the viability of canine hookworm ova. Further studies are needed to assess the applicability of metabolic profiling using GC-MS to detect viable hookworm ova in the mixed (viable and non-viable) populations from environmental samples and identify the metabolites specific to human hookworm species.</description><subject>Ancylostoma - metabolism</subject><subject>Ancylostoma - physiology</subject><subject>Ancylostoma caninum</subject><subject>Ancylostomiasis - parasitology</subject><subject>Ancylostomiasis - pathology</subject><subject>Ancylostomiasis - veterinary</subject><subject>Animals</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Dog Diseases - parasitology</subject><subject>Dogs</subject><subject>Feces - parasitology</subject><subject>Gas Chromatography-Mass Spectrometry</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Immunology</subject><subject>Lauric Acids - metabolism</subject><subject>Medical Microbiology</subject><subject>Metabolism</subject><subject>Metabolome - physiology</subject><subject>Microbiology</subject><subject>Myristic Acid - metabolism</subject><subject>Observations</subject><subject>Original Paper</subject><subject>Ovum - physiology</subject><subject>Prostaglandins - metabolism</subject><subject>Roundworms</subject><issn>0932-0113</issn><issn>1432-1955</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkUtr3DAUhUVJaKaT_oBuiiGbbJxePSzZyyGPpjDQTbIWsuZqULClVLID8--jwWkhUErRQoL7navDOYR8oXBFAdS3DCC4rIHKuqGU1eIDWVHBWU27pjkhK-jKGyjlZ-RTzk8AVEkhPpIzphiXsoEV2d7ghGn0wUw-hiq6ahPsYYh5iqOprAk-zGMVX0z14k3vBz8dqjn7sK9GnEwfB2-r5xRdmYT9OTl1Zsj4-e1ek8e724fr-3r78_uP6822tkKIqcZux2Un1c4o10jeux6aFhVlUhkUkjInVActd70Fzotn4xiT0DfcoHIt42tyuewtP_-aMU969NniMJiAcc6atrLlJRXa_AdagusYLz7W5GJB92ZA7YOLUzL2iOuNUCBkK0q4a3L1F6qcHY7exoAlCnwvoIvApphzQqefkx9NOmgK-lijXmrUxbA-1qiPmq9vrud-xN0fxe_eCsAWIJdR2GPST3FOoYT-j62v9DWlbQ</recordid><startdate>20160901</startdate><enddate>20160901</enddate><creator>Gyawali, P.</creator><creator>Beale, D. J.</creator><creator>Ahmed, W.</creator><creator>Karpe, A. V.</creator><creator>Magalhaes, R. J. Soares</creator><creator>Morrison, P. D.</creator><creator>Palombo, E. A.</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>M7N</scope></search><sort><creationdate>20160901</creationdate><title>Determination of Ancylostoma caninum ova viability using metabolic profiling</title><author>Gyawali, P. ; Beale, D. J. ; Ahmed, W. ; Karpe, A. V. ; Magalhaes, R. J. Soares ; Morrison, P. D. ; Palombo, E. A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c444t-e9d36967da7f563bfb058e71267ae4612f479083fbc033176af2260b53ae7f823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Ancylostoma - metabolism</topic><topic>Ancylostoma - physiology</topic><topic>Ancylostoma caninum</topic><topic>Ancylostomiasis - parasitology</topic><topic>Ancylostomiasis - pathology</topic><topic>Ancylostomiasis - veterinary</topic><topic>Animals</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Dog Diseases - parasitology</topic><topic>Dogs</topic><topic>Feces - parasitology</topic><topic>Gas Chromatography-Mass Spectrometry</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Immunology</topic><topic>Lauric Acids - metabolism</topic><topic>Medical Microbiology</topic><topic>Metabolism</topic><topic>Metabolome - physiology</topic><topic>Microbiology</topic><topic>Myristic Acid - metabolism</topic><topic>Observations</topic><topic>Original Paper</topic><topic>Ovum - physiology</topic><topic>Prostaglandins - metabolism</topic><topic>Roundworms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gyawali, P.</creatorcontrib><creatorcontrib>Beale, D. J.</creatorcontrib><creatorcontrib>Ahmed, W.</creatorcontrib><creatorcontrib>Karpe, A. V.</creatorcontrib><creatorcontrib>Magalhaes, R. J. Soares</creatorcontrib><creatorcontrib>Morrison, P. D.</creatorcontrib><creatorcontrib>Palombo, E. A.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><jtitle>Parasitology research (1987)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gyawali, P.</au><au>Beale, D. J.</au><au>Ahmed, W.</au><au>Karpe, A. V.</au><au>Magalhaes, R. J. Soares</au><au>Morrison, P. D.</au><au>Palombo, E. A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determination of Ancylostoma caninum ova viability using metabolic profiling</atitle><jtitle>Parasitology research (1987)</jtitle><stitle>Parasitol Res</stitle><addtitle>Parasitol Res</addtitle><date>2016-09-01</date><risdate>2016</risdate><volume>115</volume><issue>9</issue><spage>3485</spage><epage>3492</epage><pages>3485-3492</pages><issn>0932-0113</issn><eissn>1432-1955</eissn><abstract>Differentiation between viable and non-viable hookworm ova in environmental samples is necessary in order to implement strategies to mitigate re-infections in endemic regions. In this study, an untargeted metabolic profiling method was developed that utilised gas chromatography-mass spectrometry (GC-MS) in order to investigate hookworm ova viability.
Ancylostoma caninum
was used to investigate the metabolites within viable and non-viable ova. Univariate and multivariate statistical analyses of the data resulted in the identification of 53 significant metabolites across all hookworm ova samples. The major compounds observed in viable and non-viable hookworm ova were tetradecanoic acid, commonly known as myristic acid [fold change (FC) = 0.4], and dodecanoic acid, commonly known as lauric acid (FC = 0.388). Additionally, the viable ova had self-protecting metabolites such as prostaglandins, a typical feature absent in non-viable ova. The results of this study demonstrate that metabolic profiling using GC-MS methods can be used to determine the viability of canine hookworm ova. Further studies are needed to assess the applicability of metabolic profiling using GC-MS to detect viable hookworm ova in the mixed (viable and non-viable) populations from environmental samples and identify the metabolites specific to human hookworm species.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>27236650</pmid><doi>10.1007/s00436-016-5112-4</doi><tpages>8</tpages></addata></record> |
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| subjects | Ancylostoma - metabolism Ancylostoma - physiology Ancylostoma caninum Ancylostomiasis - parasitology Ancylostomiasis - pathology Ancylostomiasis - veterinary Animals Biomedical and Life Sciences Biomedicine Dog Diseases - parasitology Dogs Feces - parasitology Gas Chromatography-Mass Spectrometry Health aspects Humans Immunology Lauric Acids - metabolism Medical Microbiology Metabolism Metabolome - physiology Microbiology Myristic Acid - metabolism Observations Original Paper Ovum - physiology Prostaglandins - metabolism Roundworms |
| title | Determination of Ancylostoma caninum ova viability using metabolic profiling |
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