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Metagenomic next-generation sequencing to characterize etiologies of non-malarial fever in a cohort living in a high malaria burden area of Uganda
Lusajo Mwakibete; Saki Takahashi; Vida Ahyong; Allison Black; John Rek; Isaac Ssewanyana; Moses Kamya; Grant Dorsey; Prasanna Jagannathan; Isabel Rodriguez-Barraquer; Cristina M. Tato; Bryan Greenhouse.
Affiliation
  • Lusajo Mwakibete; Chan Zuckerberg Biohub
  • Saki Takahashi; University of California San Francisco
  • Vida Ahyong; Chan Zuckerberg Biohub
  • Allison Black; Chan Zuckerberg Biohub
  • John Rek; Infectious Diseases Research Collaboration
  • Isaac Ssewanyana; Infectious Diseases Research Collaboration
  • Moses Kamya; Infectious Diseases Research Collaboration
  • Grant Dorsey; University of California San Francisco
  • Prasanna Jagannathan; Stanford University
  • Isabel Rodriguez-Barraquer; University of California San Francisco
  • Cristina M. Tato; Chan Zuckerberg Biohub
  • Bryan Greenhouse; University of California San Francisco
Preprint in English | medRxiv | ID: ppmedrxiv-22279519
ABSTRACT
BackgroundCauses of non-malarial fevers in sub-Saharan Africa remain understudied. We hypothesized that metagenomic next-generation sequencing (mNGS), which allows for broad genomic-level detection of infectious agents in a biological sample, can systematically identify potential causes of non-malarial fevers. Methods and FindingsThe 212 participants in this study were of all ages and were enrolled in a longitudinal malaria cohort in eastern Uganda. Between December 2020 and August 2021, respiratory swabs and plasma samples were collected at 313 study visits where participants presented with fever and were negative for malaria by microscopy. Samples were analyzed using CZ ID, a web-based platform for microbial detection in mNGS data. Overall, viral pathogens were detected at 123 of 313 visits (39%). SARS-CoV-2 was detected at 11 visits, from which full viral genomes were recovered from nine. Other prevalent viruses included Influenza A (14 visits), RSV (12 visits), and three of the four strains of seasonal coronaviruses (6 visits). Notably, 11 influenza cases occurred between May and July 2021, coinciding with when the Delta variant of SARS-CoV-2 was circulating in this population. The primary limitation of this study is that we were unable to estimate the contribution of bacterial microbes to non-malarial fevers, due to the difficulty of distinguishing bacterial microbes that were pathogenic from those that were commensal or contaminants. ConclusionsThese results revealed the co-circulation of multiple viral pathogens likely associated with fever in the cohort during this time period. This study illustrates the utility of mNGS in elucidating the multiple causes of non-malarial febrile illness. A better understanding of the pathogen landscape in different settings and age groups could aid in informing diagnostics, case management, and public health surveillance systems.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Etiology study / Experimental_studies / Observational study / Prognostic study / Rct Language: English Year: 2022 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Etiology study / Experimental_studies / Observational study / Prognostic study / Rct Language: English Year: 2022 Document type: Preprint
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