Abstract
BackgroundCurrently available diagnostic techniques of Plasmodium falciparum infection are not optimal for non-invasive, population-based screening for malaria. It was hypothesized that a mass spectrometry-based metabolomics approach could identify urinary biomarkers of falciparum malaria.MethodsThe study used a case–control design, with cases consisting of 21 adults in central Ethiopia with a diagnosis of P. falciparum infection confirmed with microscopy, and 25 controls of adults with negative blood smears for malaria matched on age and sex. Urinary samples were collected from these individuals during presentation at the clinic, and a second sample was collected from both cases and controls 4 weeks later, after the cases had received anti-malarial medication. The urine samples were screened for small molecule urinary biomarkers, using mass spectrometry-based metabolomics analyses followed by multivariate analysis using principal component analysis and orthogonal partial least square-discriminant analysis. The chemical identity of statistically significant malaria biomarkers was confirmed using tandem mass spectrometry.ResultsThe urinary metabolic profiles of cases with P. falciparum infection were distinct from healthy controls. After treatment with anti-malarial medication, the metabolomic profile of cases resembled that of healthy controls. Significantly altered levels of 29 urinary metabolites were found. Elevated levels of urinary pipecolic acid, taurine, N-acetylspermidine, N-acetylputrescine and 1,3-diacetylpropane were identified as potential biomarkers of falciparum malaria.ConclusionThe urinary biomarkers of malaria identified have potential for the development of non-invasive and rapid diagnostic test of P. falciparum infection.
Highlights
Available diagnostic techniques of Plasmodium falciparum infection are not optimal for noninvasive, population-based screening for malaria
There are no studies of the use of metabolomics to identify urinary biomarkers for P. falciparum infection
As urine samples are readily available and do not require venepuncture, they have potential as a non-invasive approach for the early diagnosis of P. falciparum infection
Summary
Available diagnostic techniques of Plasmodium falciparum infection are not optimal for noninvasive, population-based screening for malaria. It was hypothesized that a mass spectrometry-based metabolomics approach could identify urinary biomarkers of falciparum malaria. Malaria is endemic in 104 tropical and subtropical countries, and the most common cause of death from malaria in Africa is due to infection with Plasmodium falciparum [1]. There are no studies of the use of metabolomics to identify urinary biomarkers for P. falciparum infection. As urine samples are readily available and do not require venepuncture, they have potential as a non-invasive approach for the early diagnosis of P. falciparum infection. A case–control study design was used to identify novel urinary biomarkers for P. falciparum infection using metabolomic methodology, and to explore if these biomarkers return to normal after treatment with antimalarial medication
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