Tick-Borne Pathogens Screening Using a Multiplex Real-Time Polymerase Chain Reaction-Based Method

Purpose This study aims to develop and evaluate a cost-effective, user-friendly multiplex quantitative real-time polymerase chain reaction (qPCR) method for detecting multiple tick-borne pathogens associated with human and veterinary diseases. Methods In silico PCR was performed to design and evalua...

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Veröffentlicht in:Acta parasitologica 2023-09, Vol.68 (3), p.705-710
Hauptverfasser: Cardenas-Cadena, Sergio Andres, Castañeda-Lopez, Maria Eugenia, Mollinedo-Montaño, Fabiana Esther, Vazquez-Reyes, Sodel, Lara-Arias, Jorge, Marino-Martinez, Ivan Alberto, Rodriguez-Sanchez, Iram Pablo, Garza-Veloz, Idalia, Martinez-Fierro, Margarita L.
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container_issue 3
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container_title Acta parasitologica
container_volume 68
creator Cardenas-Cadena, Sergio Andres
Castañeda-Lopez, Maria Eugenia
Mollinedo-Montaño, Fabiana Esther
Vazquez-Reyes, Sodel
Lara-Arias, Jorge
Marino-Martinez, Ivan Alberto
Rodriguez-Sanchez, Iram Pablo
Garza-Veloz, Idalia
Martinez-Fierro, Margarita L.
description Purpose This study aims to develop and evaluate a cost-effective, user-friendly multiplex quantitative real-time polymerase chain reaction (qPCR) method for detecting multiple tick-borne pathogens associated with human and veterinary diseases. Methods In silico PCR was performed to design and evaluate primer sequences reported for amplifying Rickettsia spp ., Borrelia spp. , and Ehrlichia spp. Single and multiplex qPCR assays were then standardized to detect individual pathogens and multiple pathogens in a single reaction. Positive controls were generated to determine the dynamic range of the methods. In the validation phase, a total of 800 samples were screened for the presence of tick-borne pathogens. Results Identification in a single qPCR reaction (multiplex) of Ehrlichia spp . , and Borrelia spp. with a limit of detection of 10 copies and Rickettsia spp . with 100 copies, a PCR efficiency (E) of 90–100% and a coefficient of correlation ( R 2 ) of 0.998–0.996 for all pathogens. Conclusion The ability to detect three significant pathogens (Ehrlichia spp ., Rickettsia spp ., and Borrelia spp .) in a single qPCR reaction offers a significant advantage in the field of molecular diagnostics for tick-borne diseases. This advancement has a profound impact on public health as it facilitates the selection of appropriate treatment protocols, thereby reducing complications associated with disease progression. The streamlined approach provided by this method simplifies the diagnostic process and enables timely intervention, ultimately improving patient outcomes and mitigating the potential risks associated with untreated or misdiagnosed tick-borne infections.
doi_str_mv 10.1007/s11686-023-00702-0
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Methods In silico PCR was performed to design and evaluate primer sequences reported for amplifying Rickettsia spp ., Borrelia spp. , and Ehrlichia spp. Single and multiplex qPCR assays were then standardized to detect individual pathogens and multiple pathogens in a single reaction. Positive controls were generated to determine the dynamic range of the methods. In the validation phase, a total of 800 samples were screened for the presence of tick-borne pathogens. Results Identification in a single qPCR reaction (multiplex) of Ehrlichia spp . , and Borrelia spp. with a limit of detection of 10 copies and Rickettsia spp . with 100 copies, a PCR efficiency (E) of 90–100% and a coefficient of correlation ( R 2 ) of 0.998–0.996 for all pathogens. Conclusion The ability to detect three significant pathogens (Ehrlichia spp ., Rickettsia spp ., and Borrelia spp .) in a single qPCR reaction offers a significant advantage in the field of molecular diagnostics for tick-borne diseases. This advancement has a profound impact on public health as it facilitates the selection of appropriate treatment protocols, thereby reducing complications associated with disease progression. The streamlined approach provided by this method simplifies the diagnostic process and enables timely intervention, ultimately improving patient outcomes and mitigating the potential risks associated with untreated or misdiagnosed tick-borne infections.</description><identifier>ISSN: 1230-2821</identifier><identifier>EISSN: 1896-1851</identifier><identifier>DOI: 10.1007/s11686-023-00702-0</identifier><identifier>PMID: 37531009</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Animal Systematics/Taxonomy/Biogeography ; Animals ; Arachnids ; Biomedical and Life Sciences ; Biomedicine ; Borrelia ; Borrelia - genetics ; Ecology ; Ehrlichia ; Ehrlichia - genetics ; Humans ; Medical Microbiology ; Microbiology ; Multiplexing ; Parasitic diseases ; Parasitology ; Pathogens ; Polymerase chain reaction ; Public health ; Real time ; Real-Time Polymerase Chain Reaction ; Rickettsia ; Rickettsia - genetics ; Short Communication ; Tick-borne diseases ; Tick-Borne Diseases - diagnosis ; Tick-Borne Diseases - veterinary ; Ticks - microbiology ; Veterinary diseases</subject><ispartof>Acta parasitologica, 2023-09, Vol.68 (3), p.705-710</ispartof><rights>The Author(s) 2023. corrected publication 2024</rights><rights>2023. The Author(s).</rights><rights>The Author(s) 2023. corrected publication 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). 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This advancement has a profound impact on public health as it facilitates the selection of appropriate treatment protocols, thereby reducing complications associated with disease progression. 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Methods In silico PCR was performed to design and evaluate primer sequences reported for amplifying Rickettsia spp ., Borrelia spp. , and Ehrlichia spp. Single and multiplex qPCR assays were then standardized to detect individual pathogens and multiple pathogens in a single reaction. Positive controls were generated to determine the dynamic range of the methods. In the validation phase, a total of 800 samples were screened for the presence of tick-borne pathogens. Results Identification in a single qPCR reaction (multiplex) of Ehrlichia spp . , and Borrelia spp. with a limit of detection of 10 copies and Rickettsia spp . with 100 copies, a PCR efficiency (E) of 90–100% and a coefficient of correlation ( R 2 ) of 0.998–0.996 for all pathogens. Conclusion The ability to detect three significant pathogens (Ehrlichia spp ., Rickettsia spp ., and Borrelia spp .) in a single qPCR reaction offers a significant advantage in the field of molecular diagnostics for tick-borne diseases. This advancement has a profound impact on public health as it facilitates the selection of appropriate treatment protocols, thereby reducing complications associated with disease progression. The streamlined approach provided by this method simplifies the diagnostic process and enables timely intervention, ultimately improving patient outcomes and mitigating the potential risks associated with untreated or misdiagnosed tick-borne infections.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>37531009</pmid><doi>10.1007/s11686-023-00702-0</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0003-1478-9068</orcidid><oa>free_for_read</oa></addata></record>
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subjects Animal Systematics/Taxonomy/Biogeography
Animals
Arachnids
Biomedical and Life Sciences
Biomedicine
Borrelia
Borrelia - genetics
Ecology
Ehrlichia
Ehrlichia - genetics
Humans
Medical Microbiology
Microbiology
Multiplexing
Parasitic diseases
Parasitology
Pathogens
Polymerase chain reaction
Public health
Real time
Real-Time Polymerase Chain Reaction
Rickettsia
Rickettsia - genetics
Short Communication
Tick-borne diseases
Tick-Borne Diseases - diagnosis
Tick-Borne Diseases - veterinary
Ticks - microbiology
Veterinary diseases
title Tick-Borne Pathogens Screening Using a Multiplex Real-Time Polymerase Chain Reaction-Based Method
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