Multiplex PCR assays developed for neglected pathogen detection in undifferentiated acute febrile illness cases in tropical regions.


Journal

Memorias do Instituto Oswaldo Cruz
ISSN: 1678-8060
Titre abrégé: Mem Inst Oswaldo Cruz
Pays: Brazil
ID NLM: 7502619

Informations de publication

Date de publication:
2024
Historique:
received: 29 02 2024
accepted: 13 09 2024
medline: 31 10 2024
pubmed: 30 10 2024
entrez: 30 10 2024
Statut: epublish

Résumé

Undifferentiated acute febrile illness (UAFI) cause by several pathogens poses a diagnostic challenge due to the similarity on the clinical manifestations across these diseases. Precise pathogen detection is vital for appropriate medical intervention, early treatment, and timely outbreak alerts regarding emerging pathogens. In tropical regions, UAFI is predominantly linked to a wide range of viral, bacterial, and parasitic infections. Hence, confirmatory laboratory tests are essential for specific pathogen identification. Our primary goal was to develop two real-time multiplex polymerase chain reaction (PCR) assays for simultaneous detection of six neglected pathogens (Leptospira spp., Rickettsia spp., Borrelia spp., Anaplasma spp., Brucella spp., and Bartonella spp.), known for causing UAFI in tropical regions. We rigorously assessed assays parameters including: linearity, efficiency, sensitivity, and reproducibility in both singleplex and multiplex formats. Our results demonstrated that these multiplex assays are reliable and sensitive methods. They showed good performance with low intra- and inter-variability (< 10%) and consistently high efficiencies (> 90%). These assays offer the alternative of streamlining work, reducing processing costs, and minimizing sample volume use. In conclusion, we present two dependable, user-friendly, rapid, and cost-effective methods for simultaneously detecting six neglected bacteria, as a significant laboratory tool in resource-limited tropical settings.

Sections du résumé

BACKGROUND BACKGROUND
Undifferentiated acute febrile illness (UAFI) cause by several pathogens poses a diagnostic challenge due to the similarity on the clinical manifestations across these diseases. Precise pathogen detection is vital for appropriate medical intervention, early treatment, and timely outbreak alerts regarding emerging pathogens. In tropical regions, UAFI is predominantly linked to a wide range of viral, bacterial, and parasitic infections. Hence, confirmatory laboratory tests are essential for specific pathogen identification.
OBJECTIVES OBJECTIVE
Our primary goal was to develop two real-time multiplex polymerase chain reaction (PCR) assays for simultaneous detection of six neglected pathogens (Leptospira spp., Rickettsia spp., Borrelia spp., Anaplasma spp., Brucella spp., and Bartonella spp.), known for causing UAFI in tropical regions.
METHODS METHODS
We rigorously assessed assays parameters including: linearity, efficiency, sensitivity, and reproducibility in both singleplex and multiplex formats.
FINDINGS RESULTS
Our results demonstrated that these multiplex assays are reliable and sensitive methods. They showed good performance with low intra- and inter-variability (< 10%) and consistently high efficiencies (> 90%).
MAIN CONCLUSIONS CONCLUSIONS
These assays offer the alternative of streamlining work, reducing processing costs, and minimizing sample volume use. In conclusion, we present two dependable, user-friendly, rapid, and cost-effective methods for simultaneously detecting six neglected bacteria, as a significant laboratory tool in resource-limited tropical settings.

Identifiants

pubmed: 39476026
pii: S0074-02762024000101134
doi: 10.1590/0074-02760240053
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e240053

Auteurs

Leidi Carvajal Aristizabal (L)

Universidad Nacional de Colombia, Global Health Institute - One Health Colombia and One Health Genomic Laboratory, Medellín, Colombia.

Karl Ciuoderis (K)

Universidad Nacional de Colombia, Global Health Institute - One Health Colombia and One Health Genomic Laboratory, Medellín, Colombia.

Laura S Pérez-Restrepo (LS)

Universidad Nacional de Colombia, Global Health Institute - One Health Colombia and One Health Genomic Laboratory, Medellín, Colombia.

Jorge E Osorio (JE)

University of Wisconsin, Global Health Institute, Madison, WI, USA.
University of Wisconsin, School of Veterinary Medicine, Department of Pathobiological Sciences, Madison, WI, USA.

Juan P Hernández-Ortiz (JP)

Universidad Nacional de Colombia, Global Health Institute - One Health Colombia and One Health Genomic Laboratory, Medellín, Colombia.
Universidad Nacional de Colombia, Department of Materials and Nanotechnology, Medellín, Colombia.

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Classifications MeSH