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Review

COVID-19, Chikungunya, Dengue and Zika Diseases: An Analytical Platform Based on MALDI-TOF MS, IR Spectroscopy and RT-qPCR for Accurate Diagnosis and Accelerate Epidemics Control

1
Programa de Doctorado en Ciencias de Recursos Naturales, Universidad de La Frontera, Temuco 4811-230, Chile
2
CEB-Centre of Biological Engineering, Universidade do Minho, Campus of Gualtar, 4710-057 Braga, Portugal
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Department of Chemical Science and Natural Resources, Universidad de La Frontera, Temuco 4811-230, Chile
*
Author to whom correspondence should be addressed.
Academic Editor: Gereon R. M. Schares
Microorganisms 2021, 9(4), 708; https://doi.org/10.3390/microorganisms9040708
Received: 15 February 2021 / Revised: 26 February 2021 / Accepted: 3 March 2021 / Published: 30 March 2021
(This article belongs to the Special Issue Mass Spectrometry: An Undeniable Tool in Current Microbiology)
COVID-19 and arboviruses (ARBOD) epidemics co-occurrence is a great concern. In tropical and subtropical regions, ARBOD diseases such as chikungunya, dengue, and Zika are frequent. In both COVID-19 and ARBOD cases, an accurate diagnosis of infected patients is crucial to promote adequate treatment and isolation measures in COVID-19 cases. Overlap of clinical symptoms and laboratory parameters between COVID-19 and ARBOD present themselves as an extra challenge during diagnosis. COVID-19 diagnosis is mainly performed by quantitative reverse polymerase chain reaction (RT-qPCR), while ARBOD diagnosis is performed by serology, detection of antigen or antibody, and molecular diagnosis. In this review, the epidemiologic profile of arboviruses and SARS-CoV-2 is analyzed, and potential risks of symptom overlap is addressed. The implementation of an analytical platform based on infrared (IR) spectroscopy, MALDI-TOF mass spectrometry, and RT-qPCR is discussed as an efficient strategy for a fast, robust, reliable, and cost-effective diagnosis system even during the co-occurrence of virus outbreaks. The spectral data of IR spectroscopy and MALDI-TOF MS obtained from COVID-19 infected and recovered patients can be used to build up an integrated spectral database. This approach can enable us to determine quickly the groups that have been exposed and have recovered from COVID-19 or ARBOD, avoiding misdiagnoses. View Full-Text
Keywords: diagnostic methods; emerging diseases; viral infection diagnostic methods; emerging diseases; viral infection
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MDPI and ACS Style

Costa, J.; Ferreira, E.C.; Santos, C. COVID-19, Chikungunya, Dengue and Zika Diseases: An Analytical Platform Based on MALDI-TOF MS, IR Spectroscopy and RT-qPCR for Accurate Diagnosis and Accelerate Epidemics Control. Microorganisms 2021, 9, 708. https://doi.org/10.3390/microorganisms9040708

AMA Style

Costa J, Ferreira EC, Santos C. COVID-19, Chikungunya, Dengue and Zika Diseases: An Analytical Platform Based on MALDI-TOF MS, IR Spectroscopy and RT-qPCR for Accurate Diagnosis and Accelerate Epidemics Control. Microorganisms. 2021; 9(4):708. https://doi.org/10.3390/microorganisms9040708

Chicago/Turabian Style

Costa, Jéssica, Eugénio C. Ferreira, and Cledir Santos. 2021. "COVID-19, Chikungunya, Dengue and Zika Diseases: An Analytical Platform Based on MALDI-TOF MS, IR Spectroscopy and RT-qPCR for Accurate Diagnosis and Accelerate Epidemics Control" Microorganisms 9, no. 4: 708. https://doi.org/10.3390/microorganisms9040708

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