Plasma metabolite profiling for S. haematobium biomarkers of infection in pre-school aged children in Shamva District, Zimbabwe
BackgroundMetabolomics approaches are indispensable tools in infection biomarker discovery efforts as they shed light on the underlying pathophysiological mechanisms of disease. In this study, we analysed plasma metabolites that can be used as biomarkers of urogenital schistosomiasis in pre-school a...
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Frontiers Media S.A.
2024-03-01
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| Series: | Frontiers in Tropical Diseases |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fitd.2024.1358514/full |
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| author | Herald Midzi Herald Midzi Thajasvarie Naicker Arthur Vengesai Emilia T. Choto Petros Muchesa Maritha Kasambala Tariro L. Mduluza-Jokonya Tariro L. Mduluza-Jokonya Victor Muleya Elliot Nyagumbo Donald Tafirenyika Kapanga Lucy Mabaya Francisca Mutapi Takafira Mduluza Takafira Mduluza |
| author_facet | Herald Midzi Herald Midzi Thajasvarie Naicker Arthur Vengesai Emilia T. Choto Petros Muchesa Maritha Kasambala Tariro L. Mduluza-Jokonya Tariro L. Mduluza-Jokonya Victor Muleya Elliot Nyagumbo Donald Tafirenyika Kapanga Lucy Mabaya Francisca Mutapi Takafira Mduluza Takafira Mduluza |
| author_sort | Herald Midzi |
| collection | DOAJ |
| description | BackgroundMetabolomics approaches are indispensable tools in infection biomarker discovery efforts as they shed light on the underlying pathophysiological mechanisms of disease. In this study, we analysed plasma metabolites that can be used as biomarkers of urogenital schistosomiasis in pre-school aged children below the age of five.MethodsA case-control study was conducted involving 82 pre-school aged children that were age- and sex-matched. Urine samples were collected for three consecutive days to detect S. haematobium infection using urine filtration. Blood samples were also collected and processed to obtain plasma. Beckman Coulter AU480 chemistry analyser and commercial metabolite kits were used for profiling biomarkers in plasma samples. Descriptive statistics and MetaboAnalyst tool, were used for metabolite analysis. For the determination of diagnostic efficiency of plasma biomarkers, the area under the curve (AUC) was calculated from receiver operating characteristic curves at 95% CI.ResultsSuccinic acid, glucose-6-phosphate, phosphatidylcholine, alanine and creatinine levels in plasma were significantly associated with urogenital schistosomiasis (p<0.005) at the population level. Significant increase in concentration at 1.5-fold change (FC) threshold was highest for glucose-6-phosphate with FC value of 2.02 followed by creatinine, albumin and phosphatidylcholine. Creatinine was significantly downregulated with a FC value of 1.98. Of the six dysregulated metabolic pathways, glucose and sucrose metabolism were predominantly affected. Glucose-6-phosphate had the highest AUC (0.81), sensitivity (88.85%) and specificity (90.37%). Phosphatidylcholine and succinic acid also had AUC values greater than 0.7.ConclusionUrogenital schistosomiasis affects the energy-related metabolic pathways in pre-school aged children. Glucose-6-phosphate was identified as a potential indicator of infection at the population level. Furthermore, we recommend intensive validation of schistosome metabolite biomarkers. |
| first_indexed | 2024-03-07T14:17:55Z |
| format | Article |
| id | doaj.art-d5b8cbc546134f2e81ae2afe3ab424b4 |
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| issn | 2673-7515 |
| language | English |
| last_indexed | 2024-03-07T14:17:55Z |
| publishDate | 2024-03-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Tropical Diseases |
| spelling | doaj.art-d5b8cbc546134f2e81ae2afe3ab424b42024-03-06T11:30:21ZengFrontiers Media S.A.Frontiers in Tropical Diseases2673-75152024-03-01510.3389/fitd.2024.13585141358514Plasma metabolite profiling for S. haematobium biomarkers of infection in pre-school aged children in Shamva District, ZimbabweHerald Midzi0Herald Midzi1Thajasvarie Naicker2Arthur Vengesai3Emilia T. Choto4Petros Muchesa5Maritha Kasambala6Tariro L. Mduluza-Jokonya7Tariro L. Mduluza-Jokonya8Victor Muleya9Elliot Nyagumbo10Donald Tafirenyika Kapanga11Lucy Mabaya12Francisca Mutapi13Takafira Mduluza14Takafira Mduluza15Department of Biotechnology and Biochemistry, University of Zimbabwe, Harare, ZimbabweOptics and Imaging, Doris Duke Medical Research Institute, College of Health Sciences, University of KwaZulu-Natal, KwaZulu-Natal, Durban, South AfricaOptics and Imaging, Doris Duke Medical Research Institute, College of Health Sciences, University of KwaZulu-Natal, KwaZulu-Natal, Durban, South AfricaDepartment of Biochemistry, Faculty of Medicine and Health Sciences, Midlands State University, Gweru, ZimbabweSchool of Biomedical Sciences, Great Zimbabwe University, Masvingo, ZimbabweWater and Health Research Centre, University of Johannesburg, Johannesburg, South AfricaDepartment of Biological Sciences and Ecology, University of Zimbabwe, Harare, ZimbabweOptics and Imaging, Doris Duke Medical Research Institute, College of Health Sciences, University of KwaZulu-Natal, KwaZulu-Natal, Durban, South AfricaFaculty of Medicine and Health Science, University of Zimbabwe, Harare, ZimbabweDepartment of Biochemistry, Faculty of Medicine and Health Sciences, Midlands State University, Gweru, ZimbabweNational Pathology Research and Diagnostic Centre, Midlands State University, Gweru, ZimbabweNational Pathology Research and Diagnostic Centre, Midlands State University, Gweru, ZimbabweNational Pathology Research and Diagnostic Centre, Midlands State University, Gweru, ZimbabweInstitute of Immunology and Infection Research, University of Edinburgh, Ashworth Laboratories, Edinburgh, United KingdomDepartment of Biotechnology and Biochemistry, University of Zimbabwe, Harare, ZimbabweOptics and Imaging, Doris Duke Medical Research Institute, College of Health Sciences, University of KwaZulu-Natal, KwaZulu-Natal, Durban, South AfricaBackgroundMetabolomics approaches are indispensable tools in infection biomarker discovery efforts as they shed light on the underlying pathophysiological mechanisms of disease. In this study, we analysed plasma metabolites that can be used as biomarkers of urogenital schistosomiasis in pre-school aged children below the age of five.MethodsA case-control study was conducted involving 82 pre-school aged children that were age- and sex-matched. Urine samples were collected for three consecutive days to detect S. haematobium infection using urine filtration. Blood samples were also collected and processed to obtain plasma. Beckman Coulter AU480 chemistry analyser and commercial metabolite kits were used for profiling biomarkers in plasma samples. Descriptive statistics and MetaboAnalyst tool, were used for metabolite analysis. For the determination of diagnostic efficiency of plasma biomarkers, the area under the curve (AUC) was calculated from receiver operating characteristic curves at 95% CI.ResultsSuccinic acid, glucose-6-phosphate, phosphatidylcholine, alanine and creatinine levels in plasma were significantly associated with urogenital schistosomiasis (p<0.005) at the population level. Significant increase in concentration at 1.5-fold change (FC) threshold was highest for glucose-6-phosphate with FC value of 2.02 followed by creatinine, albumin and phosphatidylcholine. Creatinine was significantly downregulated with a FC value of 1.98. Of the six dysregulated metabolic pathways, glucose and sucrose metabolism were predominantly affected. Glucose-6-phosphate had the highest AUC (0.81), sensitivity (88.85%) and specificity (90.37%). Phosphatidylcholine and succinic acid also had AUC values greater than 0.7.ConclusionUrogenital schistosomiasis affects the energy-related metabolic pathways in pre-school aged children. Glucose-6-phosphate was identified as a potential indicator of infection at the population level. Furthermore, we recommend intensive validation of schistosome metabolite biomarkers.https://www.frontiersin.org/articles/10.3389/fitd.2024.1358514/fullmetabolitesplasmabiomarkersS. haematobiumPre-school aged children |
| spellingShingle | Herald Midzi Herald Midzi Thajasvarie Naicker Arthur Vengesai Emilia T. Choto Petros Muchesa Maritha Kasambala Tariro L. Mduluza-Jokonya Tariro L. Mduluza-Jokonya Victor Muleya Elliot Nyagumbo Donald Tafirenyika Kapanga Lucy Mabaya Francisca Mutapi Takafira Mduluza Takafira Mduluza Plasma metabolite profiling for S. haematobium biomarkers of infection in pre-school aged children in Shamva District, Zimbabwe Frontiers in Tropical Diseases metabolites plasma biomarkers S. haematobium Pre-school aged children |
| title | Plasma metabolite profiling for S. haematobium biomarkers of infection in pre-school aged children in Shamva District, Zimbabwe |
| title_full | Plasma metabolite profiling for S. haematobium biomarkers of infection in pre-school aged children in Shamva District, Zimbabwe |
| title_fullStr | Plasma metabolite profiling for S. haematobium biomarkers of infection in pre-school aged children in Shamva District, Zimbabwe |
| title_full_unstemmed | Plasma metabolite profiling for S. haematobium biomarkers of infection in pre-school aged children in Shamva District, Zimbabwe |
| title_short | Plasma metabolite profiling for S. haematobium biomarkers of infection in pre-school aged children in Shamva District, Zimbabwe |
| title_sort | plasma metabolite profiling for s haematobium biomarkers of infection in pre school aged children in shamva district zimbabwe |
| topic | metabolites plasma biomarkers S. haematobium Pre-school aged children |
| url | https://www.frontiersin.org/articles/10.3389/fitd.2024.1358514/full |
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