Serological assays for SARS-CoV-2 antibodies must be validated for performance with a large panel of clinical specimens. Most existing assays utilize a single antigen target and may be subject to reduced diagnostic specificity. This study evaluated a multiplex assay that detects antibodies to three SARS-CoV-2 targets. Human serum specimens ( = 323) with known previous SARS-CoV-2 exposure status were tested on a commercially available multiplex bead assay (MBA) measuring IgG to SARS-CoV-2 spike protein receptor-binding domain (RBD), nucleocapsid protein (NP), and RBD/NP fusion antigens. Assay performance was evaluated against reverse transcriptase PCR (RT-PCR) results and also compared with test results for two single-target commercial assays. The MBA had a diagnostic sensitivity of 89.8% and a specificity of 100%, with serum collection at >28 days following COVID-19 symptom onset showing the highest seropositivity rates (sensitivity: 94.7%). The MBA performed comparably to single-target assays with the ability to detect IgG against specific antigen targets, with 19 (5.9%) discrepant specimens compared to the NP IgG assay and 12 (3.7%) compared to the S1 RBD IgG assay (kappa coefficients 0.92 and 0.88 compared to NP IgG and S1 RBD IgG assays, respectively. These findings highlight inherent advantages of using a SARS-CoV-2 serological test with multiple antigen targets; specifically, the ability to detect IgG against RBD and NP antigens simultaneously. In particular, the 100.0% diagnostic specificity exhibited by the MBA in this study is important for its implementation in populations with low SARS-CoV-2 seroprevalence or where background antibody reactivity to SARS-CoV-2 antigens has been detected. Reporting of SARS-CoV-2 infections through nucleic acid or antigen based diagnostic tests severely underestimates the true burden of exposure in a population. Serological data assaying for antibodies against SARS-CoV-2 antigens offers an alternative source of data to estimate population exposure, but most current immunoassays only include a single target for antibody detection. This report outlines a direct comparison of a multiplex bead assay to two other commercial single-target assays in their ability to detect IgG against SARS-CoV-2 antigens. Against a well-defined panel of 323 serum specimens, diagnostic sensitivity and specificity were very high for the multiplex assay, with strong agreement in IgG detection for single targets compared to the single-target assays. Collection of more data for individual- and population-level seroprofiles allows further investigation into more accurate exposure estimates and research into the determinants of infection and convalescent responses.
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http://dx.doi.org/10.1128/spectrum.01054-22 | DOI Listing |
Biosens Bioelectron
January 2025
Department of Electronic, Electrical and Systems Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK; School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK; School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW, 2052, Australia. Electronic address:
Closed-channel microfluidic systems offer versatile on-chip capabilities for bioanalysis but often face complex fabrication and operational challenges. In contrast, free-boundary off-chip microfluidic platforms are relatively simple to fabricate and operate but lack the ability to perform complex tasks such as on-demand single-target sorting and encapsulation. To address these challenges, we develop an off-chip platform powered by a fluorescent-activated mechanical droplet sorting and production (FAM-DSP) system.
View Article and Find Full Text PDFJ Xenobiot
December 2024
Cancer Biology and Therapy Laboratory, School of Applied and Health Sciences, London South Bank University, London SE1 0AA, UK.
The vascular endothelial growth factor receptor 2 (VEGFR2) and the hepatocyte growth factor receptor (C-Met) are critical receptors for signaling pathways controlling crucial cellular processes such as cell growth, angiogenesis and tissue regeneration. However, dysregulation of these proteins has been reported in different diseases, particularly cancer, where these proteins promote tumour growth, invasiveness, metastasis and resistance to conventional therapies. The identification of dual inhibitors targeting both VEGFR-2 and c-Met has emerged as a strategic therapeutic approach to overcome the limitations and resistance mechanisms associated with single-target therapies in clinical settings.
View Article and Find Full Text PDFFASEB J
December 2024
Key Laboratory of Pathobiology, Ministry of Education, China-Japan Union Hospital of Jilin University, Changchun, China.
Multi-target strategy can serve as a valid treatment for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), but existing drugs most focus on a single target. Thus, multi-target drugs that bind multiple sites simultaneously need to be urgently studied. Apigenin has antiviral and anti-inflammatory properties.
View Article and Find Full Text PDFZhongguo Zhong Yao Za Zhi
September 2024
State Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture Lianyungang 222047, China.
The research and development of new traditional Chinese medicine drugs has gradually formed a new system based on the combination of traditional Chinese medicine theory, human experience, and clinical trials(referred to as the "three combinations"). However, given the characteristics of traditional Chinese medicine's "syndrome differentiation and treatment" and "diverse components and complex mechanisms", there are still problems in the current research and development of new traditional Chinese medicine drugs, such as insufficient research on the material basis and overall mechanism of action, and incomplete evidence chain system. At the same time, there are still many challenges in collecting human experience, evaluating clinical efficacy, and controlling the quality of active ingredients, which restrict the innovation process of research and development of new traditional Chinese medicine drugs.
View Article and Find Full Text PDFJ Phys Chem Lett
December 2024
Department of Chemistry, Rice University, Houston, Texas 77005, United States.
Antimicrobial peptides (AMPs) hold significant potential as broad-spectrum therapeutics due to their ability to target a variety of different pathogens, including bacteria, fungi, and viruses. However, the rational design of these peptides requires the molecular understanding of properties that enable such broad-spectrum activity. In this study, we present a computational analysis that utilizes machine-learning methods to distinguish peptides with single-target activity from those with activity against multiple pathogens.
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