2017
DOI: 10.1371/journal.pntd.0005943
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Metabolomics analyses identify platelet activating factors and heme breakdown products as Lassa fever biomarkers

Abstract: Lassa fever afflicts tens of thousands of people in West Africa annually. The rapid progression of patients from febrile illness to fulminant syndrome and death provides incentive for development of clinical prognostic markers that can guide case management. The small molecule profile of serum from febrile patients triaged to the Viral Hemorrhagic Fever Ward at Kenema Government Hospital in Sierra Leone was assessed using untargeted Ultra High Performance Liquid Chromatography Mass Spectrometry. Physiological … Show more

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Cited by 18 publications
(21 citation statements)
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“…Select features within the metabolome may serve as biomarkers for disease severity/progression/outcome and lend themselves to the design of prognostic methods for viral diseases, such as Lassa fever and Ebola. We have previously characterized endogenous small molecules with prognostic value originating from the blood of febrile patients triaged to the Lassa fever ward in Kenema, Sierra Leone [1]. Here, we corroborate biomarkers in samples from the most acutely ill Lassa fever patients and contrast select metabolites in patients with Ebola, another severe viral hemorrhagic fever (VHF).…”
Section: Introductionsupporting
confidence: 52%
“…Select features within the metabolome may serve as biomarkers for disease severity/progression/outcome and lend themselves to the design of prognostic methods for viral diseases, such as Lassa fever and Ebola. We have previously characterized endogenous small molecules with prognostic value originating from the blood of febrile patients triaged to the Lassa fever ward in Kenema, Sierra Leone [1]. Here, we corroborate biomarkers in samples from the most acutely ill Lassa fever patients and contrast select metabolites in patients with Ebola, another severe viral hemorrhagic fever (VHF).…”
Section: Introductionsupporting
confidence: 52%
“…Since the microbiome and metabolite profiles are influenced by the environment, nutrition, age, and lifestyle of the host, in addition to genetics, these concatenated profiles provide a unique snapshot of individual health. 19,22,31,[23][24][25][26][27][28][29][30] Indeed, while these complex profiles can be examined independently, changes in the collective abundance patterns of metabolites and microbes may indicate deeper homeostatic disturbances, which may be reflected through changes in interleukin signaling. The membership of the bodies microbial communities have dynamic interconnected relationships with one another and the host that change under states of disease and stress.…”
Section: Discussionmentioning
confidence: 99%
“…The metabolome and microbiome 21 are also unique portraits of the individual patient as they are not only influenced by genetics and disease state but also by the environment, nutrition, age, and lifestyle 19,22,31,[23][24][25][26][27][28][29][30] . Thus the microbiome and metabolome are very different from transcriptomic or proteomic biomarkers.…”
Section: Introductionmentioning
confidence: 99%
“…Novel strategies, such as proteomics, metabolomics and genomics, are slowly incorporated into clinical practice . Continued next‐generation sequencing (NGS) efforts have already significantly improved our understanding of the pathobiology in other diseases such as acute myeloid leukaemia and changed treatment towards more individualized therapy .…”
Section: Introductionmentioning
confidence: 99%
“…Novel strategies, such as proteomics, metabolomics and genomics, are slowly incorporated into clinical practice. [4][5][6] Continued next-generation sequencing (NGS) efforts have already significantly improved our understanding of the pathobiology in other diseases such as acute myeloid leukaemia and changed treatment towards more individualized therapy. 7 Routine diagnostic whole exome sequencing (WES) in our genetic department has shown to be an effective tool to elucidate the genetic defect underlying many different types of heterogeneous disorders and we hypothesize that such an approach would also benefit the diagnostics of bleeding disorders.…”
mentioning
confidence: 99%