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Chikungunya fever (CHIKF) is an increasingly prevalent arboviral disease primarily transmitted by the mosquito vectors Aedes aegypti and Aedes albopictus. Characterized by recurrent outbreaks in tropical regions, this disease clinically manifests as an acute febrile illness, often accompanied by severe joint pain and persistent arthritis1. As of July 26, the cumulative total of laboratory-confirmed chikungunya cases in Foshan City had reached 4,824, with a remarkable 87.2% of these cases occurring in Shunde District. This pronounced geographic concentration imposes a substantial burden on the regional public health infrastructure and results in significant healthcare costs, along with broader macroeconomic challenges2.
In the context of the increasingly overlapping circulation of CHIKV, DENV, and ZIKV viruses, current diagnostic methodologies encounter three primary limitations. First, serological assays are unable to distinguish acute infections due to the prolonged persistence of antibodies following viral clearance1. Second, viral culture techniques exhibit sensitivity rates low and require several days, thereby impeding timely clinical decision-making. Third, although quantitative PCR assays demonstrate high specificity (exceeding 95%), they cannot detect co-infections within a single reaction, which is a significant drawback given the reported 12.8% CHIKV-DENV co-infection rate in India3. Phylogenetic monitoring indicates a paradigm shift. The ECSA lineage, which was dominant during India's 2019-2022 epidemic, has acquired convergent mutations in its envelope proteins: E1-A226V (enhancing mosquito infectivity) and E2-K252Q (associated with immune evasion). These mutations have resulted in a genotype with documented higher virulence, as reported in recent surveillance studies from Kerala and Maharashtra3. Concurrently, China faces challenges from the importation of the ECSA genotype, as documented in the Yunnan outbreak, and other genotypes, with autochthonous transmission reported in multiple provinces, including Yunnan4.
These realities create urgent, resource-limited needs for (i) differential diagnosis despite overlapping clinical manifestations5, (ii) diagnostic assays that eliminate the complexity of instrumentation typically required by conventional real-time quantitative PCR (qPCR)6, and (iii) comprehensive validation of novel point-of-care technologies, including RT-LAMP and CRISPR-based methods5. To address these diagnostic challenges, we propose a rapid triple-PCR assay that uses a fully automated integrated system, enabling simultaneous detection of CHIKV, DENV, and ZIKV in a single reaction. We validated the performance of our triplex qPCR assay through direct comparison with established singleplex assays5, which served as the reference standard. The following sections detail the procedures for both the triplex assay and the reference singleplex assays. The comparative analysis of results from both methods is presented in the Representative Results section.