دورية أكاديمية
Reagent-free detection of Plasmodium falciparum malaria infections in field-collected mosquitoes using mid-infrared spectroscopy and machine learning.
| العنوان: | Reagent-free detection of Plasmodium falciparum malaria infections in field-collected mosquitoes using mid-infrared spectroscopy and machine learning. |
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| المؤلفون: | Mwanga EP; Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania. emwanga@ihi.or.tz.; School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, G12 8QQ, UK. emwanga@ihi.or.tz., Kweyamba PA; Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania.; Swiss Tropical and Public Health Institute, Kreuzstrasse 2, 4123, Allschwil, Switzerland.; University of Basel, Petersplatz 1, 4001, Basel, Switzerland., Siria DJ; Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania.; School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, G12 8QQ, UK., Mshani IH; Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania.; School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, G12 8QQ, UK., Mchola IS; Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania., Makala FE; Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania., Seleman G; Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania., Abbasi S; Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania., Mwinyi SH; Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania., González-Jiménez M; School of Chemistry, The University of Glasgow, Glasgow, G12 8QQ, UK., Waynne K; School of Chemistry, The University of Glasgow, Glasgow, G12 8QQ, UK., Baldini F; Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania.; School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, G12 8QQ, UK., Babayan SA; School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, G12 8QQ, UK., Okumu FO; Environmental Health and Ecological Sciences Department, Ifakara Health Institute, Morogoro, Tanzania. fredros@ihi.or.tz.; School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, G12 8QQ, UK. fredros@ihi.or.tz.; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. fredros@ihi.or.tz.; School of Life Science and Bioengineering, The Nelson Mandela African Institution of Science and Technology, P. O. Box 447, Arusha, Tanzania. fredros@ihi.or.tz. |
| المصدر: | Scientific reports [Sci Rep] 2024 May 27; Vol. 14 (1), pp. 12100. Date of Electronic Publication: 2024 May 27. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: London : Nature Publishing Group, copyright 2011- |
| مواضيع طبية MeSH: | Anopheles*/parasitology , Malaria, Falciparum*/epidemiology , Malaria, Falciparum*/diagnosis , Malaria, Falciparum*/parasitology , Plasmodium falciparum*/isolation & purification , Machine Learning* , Mosquito Vectors*/parasitology, Animals ; Female ; Humans ; Tanzania/epidemiology ; Sporozoites ; Spectrophotometry, Infrared/methods ; Spectroscopy, Fourier Transform Infrared/methods |
| مستخلص: | Field-derived metrics are critical for effective control of malaria, particularly in sub-Saharan Africa where the disease kills over half a million people yearly. One key metric is entomological inoculation rate, a direct measure of transmission intensities, computed as a product of human biting rates and prevalence of Plasmodium sporozoites in mosquitoes. Unfortunately, current methods for identifying infectious mosquitoes are laborious, time-consuming, and may require expensive reagents that are not always readily available. Here, we demonstrate the first field-application of mid-infrared spectroscopy and machine learning (MIRS-ML) to swiftly and accurately detect Plasmodium falciparum sporozoites in wild-caught Anopheles funestus, a major Afro-tropical malaria vector, without requiring any laboratory reagents. We collected 7178 female An. funestus from rural Tanzanian households using CDC-light traps, then desiccated and scanned their heads and thoraces using an FT-IR spectrometer. The sporozoite infections were confirmed using enzyme-linked immunosorbent assay (ELISA) and polymerase chain reaction (PCR), to establish references for training supervised algorithms. The XGBoost model was used to detect sporozoite-infectious specimen, accurately predicting ELISA and PCR outcomes with 92% and 93% accuracies respectively. These findings suggest that MIRS-ML can rapidly detect P. falciparum in field-collected mosquitoes, with potential for enhancing surveillance in malaria-endemic regions. The technique is both fast, scanning 60-100 mosquitoes per hour, and cost-efficient, requiring no biochemical reactions and therefore no reagents. Given its previously proven capability in monitoring key entomological indicators like mosquito age, human blood index, and identities of vector species, we conclude that MIRS-ML could constitute a low-cost multi-functional toolkit for monitoring malaria risk and evaluating interventions. (© 2024. The Author(s).) |
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| معلومات مُعتمدة: | ICA/R1/191238 Royal Society; 214643/Z/18/Z United Kingdom WT_ Wellcome Trust; SBF007/100094 Academy Medical Sciences Springboard Award; INV003079 Bill and Melinda Gates Foundation; Grant No. OPP1099295 United States HHMI Howard Hughes Medical Institute; INV-003079 United States GATES Bill & Melinda Gates Foundation; United Kingdom WT_ Wellcome Trust; INV-030025 United States GATES Bill & Melinda Gates Foundation; MR/P025501/1 United Kingdom MRC_ Medical Research Council |
| تواريخ الأحداث: | Date Created: 20240527 Date Completed: 20240527 Latest Revision: 20240530 |
| رمز التحديث: | 20240530 |
| مُعرف محوري في PubMed: | PMC11130311 |
| DOI: | 10.1038/s41598-024-63082-z |
| PMID: | 38802488 |
| قاعدة البيانات: | MEDLINE |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 2045-2322 |
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| DOI: | 10.1038/s41598-024-63082-z |