ArticleProceedings of the National Academy of Sciences of the United States of America2018
Volatile biomarkers of symptomatic and asymptomatic malaria infection in humans.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed, 91 citations in OpenAlex.
- Diurnal variation in expired breath volatiles in malaria-infected and healthy volunteers.Journal of breath research · 2018Trial
- Noninvasive malaria detection beyond blood sampling.Sensors & diagnostics · 2026Review
- Sweat as a diagnostic biofluid: analytical advances and future directions.Journal of pharmaceutical analysis · 2026Review
- Fertility classification of the cow and peri-estrus sex-steroid hormones is associated with endometrial epithelial cell responses to conceptus and inflammatory signals.Cell and tissue research · 2026Article
- "It doesn't require blood!": Perceptions around non-invasive malaria testing tools in Indonesia, Peru, and Rwanda.PloS one · 2026Article
- Article
- The role of multi-omics in biomarker discovery, diagnosis, prognosis, and therapeutic monitoring of tissue repair and regeneration processes.Journal of orthopaedic translation · 2025Review
- Steps toward clinical validation of exhaled volatile organic compound biomarkers for hypoglycemia in persons with type 1 diabetes.Scientific reports · 2025Article
- Machine Learning Predicts Non-Preferred and Preferred Vertebrate Hosts of Tsetse Flies (Glossina spp.) Based on Skin Volatile Emission Profiles.Journal of chemical ecology · 2025Article
- The impact of blood on vector-borne diseases with emphasis on mosquitoes and sand flies.Trends in parasitology · 2025Review
- Phlebotomus perniciosus response to volatile organic compounds of dogs and humans.PLoS neglected tropical diseases · 2024Article
- Breath Biomarkers of Pediatric Malaria: Reproducibility and Response to Antimalarial Therapy.The Journal of infectious diseases · 2024Article
- Smelly interactions: host-borne volatile organic compounds triggering behavioural responses in mosquitoes, sand flies, and ticks.Parasites & vectors · 2024Review
- Biodetection of an odor signature in white-tailed deer associated with infection by chronic wasting disease prions.PloS one · 2024Article
- Soap application alters mosquito-host interactions.iScience · 2023Article
- No skin off your back: the sampling and extraction of sebum for metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2023Review
- A world free of malaria: It is time for Africa to actively champion and take leadership of elimination and eradication strategies.African health sciences · 2022Article
- Manipulation by Plasmodium Parasites of Anopheles Mosquito Behavior and Human Odors.Acta parasitologica · 2022Review
- Differential mosquito attraction to humans is associated with skin-derived carboxylic acid levels.Cell · 2022Article
- Contemporary exploitation of natural products for arthropod-borne pathogen transmission-blocking interventions.Parasites & vectors · 2022Review
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Malaria remains among the world's deadliest diseases, and control efforts depend critically on the availability of effective diagnostic tools, particularly for the identification of asymptomatic infections, which play a key role in disease persistence and may account for most instances of transmission but often evade detection by current screening methods. Research on humans and in animal models has shown that infection by malaria parasites elicits changes in host odors that influence vector attraction, suggesting that such changes might yield robust biomarkers of infection status. Here we present findings based on extensive collections of skin volatiles from human populations with high rates of malaria infection in Kenya. We report broad and consistent effects of malaria infection on human volatile profiles, as well as significant divergence in the effects of symptomatic and asymptomatic infections. Furthermore, predictive models based on machine learning algorithms reliably determined infection status based on volatile biomarkers. Critically, our models identified asymptomatic infections with 100% sensitivity, even in the case of low-level infections not detectable by microscopy, far exceeding the performance of currently available rapid diagnostic tests in this regard. We also identified a set of individual compounds that emerged as consistently important predictors of infection status. These findings suggest that volatile biomarkers may have significant potential for the development of a robust, noninvasive screening method for detecting malaria infections under field conditions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.