Breath Biomarkers of Pediatric Malaria: Reproducibility and Response to Antimalarial Therapy

Author:

Berna Amalia Z1ORCID,Wang X Rosalind2ORCID,Bollinger Lucy B3,Banda Josephine4,Mawindo Patricia4,Evanoff Tasha5,Culbertson Diana L6,Seydel Karl47ORCID,Odom John Audrey R18ORCID

Affiliation:

1. Division of Infectious Diseases, Department of Pediatrics, Children's Hospital of Philadelphia , Pennsylvania

2. Department of Data Science, Western Sydney University , Sydney , Australia

3. Department of Pediatrics, Northwest Permanente , Portland, Oregon

4. Blantyre Malaria Project, Kamuzu University of Health Sciences , Blantyre , Malawi

5. Department of Psychiatry, Harvard University , Boston, Massachusetts

6. Department of Pediatrics, Seattle Children's Hospital , Washington

7. Department of Osteopathic Medical Specialties, College of Osteopathic Medicine, Michigan State University , East Lansing

8. Perelman School of Medicine, University of Pennsylvania , Philadelphia

Abstract

Abstract Background Many insect-borne pathogens appear to manipulate the odors of their hosts in ways that influence vector behaviors. In our prior work, we identified characteristic changes in volatile emissions of cultured Plasmodium falciparum parasites in vitro and during natural human falciparum malaria. In the current study, we prospectively evaluate the reproducibility of these findings in an independent cohort of children in Blantyre, Malawi. Methods We enrolled febrile children under evaluation for malaria and collected breath from children with and without malaria, as well as healthy controls. Using gas chromatography/mass spectrometry, we characterized breath volatiles associated with malaria. By repeated sampling of children with malaria before and after antimalarial use, we determined how breath profiles respond to treatment. In addition, we investigated the stage-specificity of biomarkers through correlation with asexual and sexual-stage parasitemia. Results Our data provide robust evidence that P. falciparum infection leads to specific, reproducible changes in breath compounds. While no individual compound served as an adequate classifier in isolation, selected volatiles together yielded high sensitivity for diagnosis of malaria. Overall, the results of our predictive models suggest the presence of volatile signatures that reproducibly predict malaria infection status and determine response to therapy, even in cases of low parasitemia.

Funder

National Institutes of Health

National Institute of Allergy and Infectious Diseases

National Institute of General Medical Sciences

Burroughs Wellcome Fund

Publisher

Oxford University Press (OUP)

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