4.3 Article

Diurnal variation in expired breath volatiles in malaria-infected and healthy volunteers

期刊

JOURNAL OF BREATH RESEARCH
卷 12, 期 4, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/1752-7163/aadbbb

关键词

thioethers; terpenes; biomarker; breath; malaria; Plasmodium falciparum; Plasmodium vivax

资金

  1. Bill & Melinda Gates Foundation [OPP1142041]
  2. Commonwealth Scientific and Industrial Research Organisation (CSIRO)
  3. Medicines for Malaria Venture
  4. Bill and Melinda Gates Foundation [OPP1142041] Funding Source: Bill and Melinda Gates Foundation

向作者/读者索取更多资源

We previously showed that thioether levels in the exhaled breath volatiles of volunteers undergoing controlled human malaria infection (CHMI) with P. falciparum increase as infection progresses. In this study, we show that thioethers have diurnal cyclical increasing patterns and their levels are significantly higher in P. falciparum CHMI volunteers compared to those of healthy volunteers. The synchronized cycle and elevation of thioethers were not present in P. vivax-infection, therefore it is likely that the thioethers are associated with unique factors in the pathology of P. falciparum. Moreover, we found that time-of-day of breath collection is important to accurately predict (98%) P. falciparum - infection. Critically, this was achieved when the disease was asymptomatic and parasitemia was below the level detectable by microscopy. Although these findings are encouraging, they show limitations because of the limited and logistically difficult diagnostic window and its utility to P. falciparum malaria only. We looked for new biomarkers in the breath of P. vivax CHMI volunteers and found that a set of terpenes increase significantly over the course of the malaria infection. The accuracy of predicting P. vivax using breath terpenes was up to 91%. Moreover, some of the terpenes were also found in the breath of P. falciparum CHMI volunteers (accuracy up to 93.5%). The results suggest that terpenes might represent better biomarkers than thioethers to predict malaria as they were not subject to malaria pathogens diurnal changes.

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