RESUMEN
Lyme disease (LD) is the prototype of tick-borne infections. The broad spectrum of LD symptomatology, together with the tremendous variety of sensibility and specificity of diagnostic tests, poses a complex challenge for LD diagnosis. Here, we propose a clinical algorithm for Lyme patients to prevent treatment delay in suspicious scenarios.
Asunto(s)
Enfermedad de Lyme , Enfermedades por Picaduras de Garrapatas , Humanos , Enfermedad de Lyme/diagnóstico , Algoritmos , Retraso del TratamientoRESUMEN
Currently, there are over 602 million severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cases and 6.4 million COVID-19 disease-related deaths worldwide. With ambitious vaccine strategies, reliable and accurate serological testing is needed to monitor the dynamics of the novel coronavirus pandemic and community immunity. We set out to improve serological testing of the immune response against SARS-CoV-2. We hypothesize that by multiplexing the serological diagnostic test kit (SARSPLEX) and screening for three antibodies, an even more robust diagnostic can be developed. A total of 293 sera were analyzed for IgM, IgG, or IgA immune reactions to the subunit 1 spike glycoprotein and the nucleocapsid protein in a standardized ELISA platform. Testing IgM, IgG, and IgA demonstrated high positive and negative agreements compared to RT-PCR and serology reference tests. Comparison with the pre-2019-CoV (n = 102) samples highlighted the specificity of this test kit and indicated that no unspecific binding, even with the summer flu patients (n = 44), was detected. In addition, SARSPLEX demonstrated to be a valuable occupational surveillance tool used in a functional medicine facility. With increased and broader testing, SARSPLEX will be a valuable tool in monitoring immunity and aid in prioritizing access to the SARS-CoV-2 vaccine for high-risk patients.