RESUMO
Inexpensive, simple, rapid diagnostics are necessary for efficient detection, treatment, and mitigation of COVID-19. Assays for SARS-CoV2 using reverse transcription polymerase chain reaction (RT-PCR) offer good sensitivity and excellent specificity, but are expensive, slowed by transport to centralized testing laboratories, and often unavailable. Antigen-based assays are inexpensive and can be rapidly mass-produced and deployed at point-of-care, with lateral flow assays (LFAs) being the most common format. While various manufacturers have produced commercially available SARS-Cov2 antigen LFAs, access to validated tests remains difficult or cost prohibitive in low-and middle-income countries. Herein, we present a visually read open-access LFA (OA-LFA) using commercially-available antibodies and materials for the detection of SARS-CoV-2. The LFA yielded a Limit of Detection (LOD) of 4 TCID50/swab of gamma irradiated SARS-CoV-2 virus, meeting the acceptable analytical sensitivity outlined by in World Health Organization target product profile. The open-source architecture presented in this manuscript provides a template for manufacturers around the globe to rapidly design a SARS-CoV2 antigen test.
Assuntos
Antígenos Virais/imunologia , Teste para COVID-19/métodos , COVID-19/diagnóstico , COVID-19/imunologia , Proteínas do Nucleocapsídeo de Coronavírus/imunologia , SARS-CoV-2/imunologia , COVID-19/virologia , Humanos , Limite de Detecção , Sistemas Automatizados de Assistência Junto ao Leito , RNA Viral/imunologia , Sensibilidade e EspecificidadeRESUMO
A novel series of TNF-alpha inhibitors based on a benzobicyclooctane scaffold is reported. The compounds display good potency in inhibiting TNF-alpha induced apoptosis and NF kappa B activation. Additionally, they are selective for TNF-alpha as they do not inhibit apoptosis induced by soluble Fas ligand. The compounds described here can act as leads for future medicinal chemistry efforts and may also be useful tools for elucidating the TNF-alpha signaling pathway.