Ultrasensitive high-resolution profiling of early seroconversion in patients with COVID-19.
Maia NormanTal GilboaAlana F OgataAdam M MaleyLimor CohenEvan L BuschRoey LazarovitsChih-Ping MaoYongfei CaiJun ZhangJared E FeldmanBlake M HauserTimothy M CaradonnaBing ChenAaron G SchmidtGalit AlterRichelle C CharlesEdward T RyanDavid R WaltPublished in: Nature biomedical engineering (2020)
Sensitive assays are essential for the accurate identification of individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Here, we report a multiplexed assay for the fluorescence-based detection of seroconversion in infected individuals from less than 1 µl of blood, and as early as the day of the first positive nucleic acid test after symptom onset. The assay uses dye-encoded antigen-coated beads to quantify the levels of immunoglobulin G (IgG), IgM and IgA antibodies against four SARS-CoV-2 antigens. A logistic regression model trained using samples collected during the pandemic and samples collected from healthy individuals and patients with respiratory infections before the first outbreak of coronavirus disease 2019 (COVID-19) was 99% accurate in the detection of seroconversion in a blinded validation cohort of samples collected before the pandemic and from patients with COVID-19 five or more days after a positive nasopharyngeal test by PCR with reverse transcription. The high-throughput serological profiling of patients with COVID-19 allows for the interrogation of interactions between antibody isotypes and viral proteins, and should help us to understand the heterogeneity of clinical presentations.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- high throughput
- single cell
- coronavirus disease
- high resolution
- nucleic acid
- real time pcr
- label free
- loop mediated isothermal amplification
- randomized controlled trial
- transcription factor
- quantum dots
- mass spectrometry
- gold nanoparticles
- dendritic cells
- single molecule
- resistance training
- study protocol
- high speed
- patient reported