We are excited to announce that the repository will soon undergo an upgrade, featuring a new look and feel along with several enhanced features to improve your experience. Please be on the lookout for further updates and announcements regarding the launch date. We appreciate your support and look forward to unveiling the improved platform soon.
dc.contributor.author | Williams, Aurelia Alvina![]() |
|
dc.contributor.author | Kgoadi, Khanyisile![]() |
|
dc.contributor.author | Steffens, Francois E.![]() |
|
dc.contributor.author | Steenkamp, Paul![]() |
|
dc.contributor.author | Meyer, Debra![]() |
|
dc.date.accessioned | 2017-02-09T08:30:24Z | |
dc.date.available | 2017-02-09T08:30:24Z | |
dc.date.issued | 2014 | |
dc.description.abstract | Immune responses to infection by the human immunodeficiency virus (HIV) and the use of highly active antiretroviral therapy (HAART) to treat HIV infection, contributes to metabolic irregularities in the host. Current methods for the extraction and identification of metabolites in biofluids generally make use of laborious, time-consuming protocols. Here, 96-well Ostro™ plates and filtration under positive pressure was used to facilitate the simultaneous, reproducible extraction of metabolites from multiple serum samples which were then analyzed by ultra-performance liquid chromatography mass spectrometry (UPLC-MS). The easy to use solid phase extraction (SPE) protocol eliminated numerous potential contaminants while the UPLC-MS detection of metabolites produced visibly different chromatograms for HIV negative (n=16), HIV+ (n=13) and HIV+HAART+ (n=15) serum samples. Linear discriminant analysis (LDA) amplified these differences, classified the groups with 100% accuracy and identified biomarkers explaining the greatest variances between the groups. The 21 metabolites altered by HIV and/or HAART primarily represented those linked to lipid and energy pathways which is where known metabolic changes associated with HIV infection occur. This work demonstrated for the first time that OstroTM plates and UPLC-MS metabonomics was able to successfully identify distinct differences between the experimental groups and detected metabolites related to HAART and other drugs used in the treatment of HIV-associated conditions. The findings of this approach suggests a possible role for this methodology in disease prognosis as well as in the monitoring of treatment success or failure and linking treatment to metabolic complications. | en_ZA |
dc.description.department | Biochemistry | en_ZA |
dc.description.department | Statistics | en_ZA |
dc.description.librarian | hb2017 | en_ZA |
dc.description.sponsorship | The Medical Research Council (MRC), Technology Innovation Agency (TIA) and the National Research Foundation (NRF) of South Africa. | en_ZA |
dc.description.uri | http://benthamscience.com/journal/index.php?journalID=cmb | en_ZA |
dc.identifier.citation | Williams, A, Kgoadi, K, Steffens, F, Steenkamp, P & Meyer, D 2014, 'UPLC-MS metabonomics reveals perturbed metabolites in HIV-infected sera', Current Metabolomics, vol. 2, no. 1, pp. 37-52. | en_ZA |
dc.identifier.issn | 2213-235X (print) | |
dc.identifier.issn | 2213-2368 (online) | |
dc.identifier.other | 10.2174/2213235X02666140214201251 | |
dc.identifier.uri | http://hdl.handle.net/2263/58946 | |
dc.language.iso | en | en_ZA |
dc.publisher | Bentham Science | en_ZA |
dc.rights | © 2014 Bentham Science Publishers | en_ZA |
dc.subject | Biofluid | en_ZA |
dc.subject | Biomarker | en_ZA |
dc.subject | Metabonomics | en_ZA |
dc.subject | Ostro™ plates | en_ZA |
dc.subject | Human immunodeficiency virus (HIV) | en_ZA |
dc.subject | Highly active antiretroviral therapy (HAART) | en_ZA |
dc.subject | Linear discriminant analysis (LDA) | en_ZA |
dc.subject | Solid phase extraction (SPE) | en_ZA |
dc.subject | Ultra-performance liquid chromatography mass spectrometry (UPLC-MS) | en_ZA |
dc.title | UPLC-MS metabonomics reveals perturbed metabolites in HIV-infected sera | en_ZA |
dc.type | Postprint Article | en_ZA |