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Related Concept Videos

Real Time RT-PCR02:57

Real Time RT-PCR

Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...

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Related Experiment Video

Updated: Jul 17, 2026

Multiplexed Isothermal Amplification Based Diagnostic Platform to Detect Zika, Chikungunya, and Dengue 1
06:18

Multiplexed Isothermal Amplification Based Diagnostic Platform to Detect Zika, Chikungunya, and Dengue 1

Published on: March 13, 2018

Diagnostic Accuracy of Real Time Reverse Transcriptase Polymerase Chain Reaction for Chikungunya Virus Detection: A

Róger J Costa1, Cleyde S C Marconi1, Gleice K Jesus1

  • 1Postgraduate Program in Medicine and Health, Federal University of Bahia, Salvador, Bahia, Brazil.

Tropical Medicine & International Health : TM & IH
|July 15, 2026
PubMed
Summary

Real-time reverse transcriptase polymerase chain reaction (RT-qPCR) accurately detects Chikungunya virus (CHIKV) during acute illness. This systematic review confirms RT-qPCR

Keywords:
AccuracyCHIKVDTAMolecular BiologyRT‐qPCR

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Reverse Transcription-Loop-mediated Isothermal Amplification (RT-LAMP) Assay for Zika Virus and Housekeeping Genes in Urine, Serum, and Mosquito Samples
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Reverse Transcription-Loop-mediated Isothermal Amplification (RT-LAMP) Assay for Zika Virus and Housekeeping Genes in Urine, Serum, and Mosquito Samples

Published on: September 14, 2018

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Last Updated: Jul 17, 2026

Multiplexed Isothermal Amplification Based Diagnostic Platform to Detect Zika, Chikungunya, and Dengue 1
06:18

Multiplexed Isothermal Amplification Based Diagnostic Platform to Detect Zika, Chikungunya, and Dengue 1

Published on: March 13, 2018

Reverse Transcription-Loop-mediated Isothermal Amplification (RT-LAMP) Assay for Zika Virus and Housekeeping Genes in Urine, Serum, and Mosquito Samples
08:03

Reverse Transcription-Loop-mediated Isothermal Amplification (RT-LAMP) Assay for Zika Virus and Housekeeping Genes in Urine, Serum, and Mosquito Samples

Published on: September 14, 2018

Area of Science:

  • Virology
  • Infectious Diseases
  • Molecular Diagnostics

Background:

  • Chikungunya virus (CHIKV) causes acute febrile illness with severe joint pain, potentially leading to chronic or neurological complications.
  • Accurate and timely diagnosis of CHIKV is crucial for patient management and public health surveillance.
  • Real-time reverse transcriptase polymerase chain reaction (RT-qPCR) is a key molecular diagnostic tool for viral detection.

Purpose of the Study:

  • To systematically review and meta-analyze the diagnostic accuracy of RT-qPCR protocols for detecting CHIKV.
  • To evaluate the performance of RT-qPCR specifically during the acute phase of CHIKV infection.

Main Methods:

  • Systematic literature search of PubMed, LILACS, and Web of Science up to December 5, 2024.
  • Inclusion of studies evaluating RT-qPCR protocols against reference standards (viral isolation, validated RT-qPCR).
  • Meta-analysis and meta-regression were performed, with risk of bias assessed using the QUADAS-2 tool.

Main Results:

  • Twenty-eight RT-qPCR protocols were reviewed, with 24 included in the quantitative analysis.
  • The meta-analysis revealed a combined accuracy of 96% (95% CI: 94-99%) for RT-qPCR.
  • Summary sensitivity and specificity were both 99.7%, though high heterogeneity (78.1%) and publication bias were noted.

Conclusions:

  • RT-qPCR is a highly accurate diagnostic method for detecting Chikungunya virus in the acute symptomatic phase.
  • Despite observed heterogeneity, subgroup analyses confirmed the consistently high performance of RT-qPCR.
  • The findings support the use of RT-qPCR as a reliable tool for CHIKV diagnosis.