Academic Journal

Investigating the etiologies of non-malarial febrile illness in Senegal using metagenomic sequencing

التفاصيل البيبلوغرافية
العنوان: Investigating the etiologies of non-malarial febrile illness in Senegal using metagenomic sequencing
المؤلفون: Levine, Zoë C, Sene, Aita, Mkandawire, Winnie, Deme, Awa B, Ndiaye, Tolla, Sy, Mouhamad, Gaye, Amy, Diedhiou, Younouss, Mbaye, Amadou M, Ndiaye, Ibrahima M, Gomis, Jules, Ndiop, Médoune, Sene, Doudou, Faye Paye, Marietou, MacInnis, Bronwyn L, Schaffner, Stephen F, Park, Daniel J, Badiane, Aida S, Colubri, Andrés, Ndiaye, Mouhamadou, Sy, Ngayo, Sabeti, Pardis C, Ndiaye, Daouda, Siddle, Katherine J
المساهمون: Genomics and Computational Biology, Morningside Graduate School of Biomedical Sciences, Winnie Mkandawire
المصدر: Nature communications ; 15 ; 1 ; 747 ; United States ; England
سنة النشر: 2024
المجموعة: University of Massachusetts, Medical School: eScholarship@UMMS
مصطلحات موضوعية: Genomics, Infectious diseases, Microbial genetics
الوصف: The worldwide decline in malaria incidence is revealing the extensive burden of non-malarial febrile illness (NMFI), which remains poorly understood and difficult to diagnose. To characterize NMFI in Senegal, we collected venous blood and clinical metadata in a cross-sectional study of febrile patients and healthy controls in a low malaria burden area. Using 16S and untargeted sequencing, we detected viral, bacterial, or eukaryotic pathogens in 23% (38/163) of NMFI cases. Bacteria were the most common, with relapsing fever Borrelia and spotted fever Rickettsia found in 15.5% and 3.8% of cases, respectively. Four viral pathogens were found in a total of 7 febrile cases (3.5%). Sequencing also detected undiagnosed Plasmodium, including one putative P. ovale infection. We developed a logistic regression model that can distinguish Borrelia from NMFIs with similar presentation based on symptoms and vital signs (F1 score: 0.823). These results highlight the challenge and importance of improved diagnostics, especially for Borrelia, to support diagnosis and surveillance.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 2041-1723
Relation: Nature Communications; https://doi.org/10.1038/s41467-024-44800-7; Levine ZC, Sene A, Mkandawire W, Deme AB, Ndiaye T, Sy M, Gaye A, Diedhiou Y, Mbaye AM, Ndiaye IM, Gomis J, Ndiop M, Sene D, Faye Paye M, MacInnis BL, Schaffner SF, Park DJ, Badiane AS, Colubri A, Ndiaye M, Sy N, Sabeti PC, Ndiaye D, Siddle KJ. Investigating the etiologies of non-malarial febrile illness in Senegal using metagenomic sequencing. Nat Commun. 2024 Jan 25;15(1):747. doi:10.1038/s41467-024-44800-7. PMID: 38272885; PMCID: PMC10810818.; http://hdl.handle.net/20.500.14038/53099
DOI: 10.1038/s41467-024-44800-7
الاتاحة: https://doi.org/10.1038/s41467-024-44800-7
https://hdl.handle.net/20.500.14038/53099
Rights: Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/ licenses/by/4.0/. © The Author(s) 2024 ; Attribution 4.0 International ; http://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.E48EE50C
قاعدة البيانات: BASE
الوصف
تدمد:20411723
DOI:10.1038/s41467-024-44800-7