Background: Transplant recipients who develop COVID-19 may be at increased risk for morbidity and mortality. Determining the status of antibodies against SARS-CoV-2 in both candidates and recipients will be important to understand the epidemiology and clinical course of COVID-19 in this population. While there are multiple tests to detect antibodies to SARS-CoV-2, their performance is variable. Tests vary according to their platforms and the antigenic targets which make interpretation of the results challenging. Furthermore, for some assays, sensitivity and specificity are less than optimal. Additionally, currently available serological tests do not exclude the possibility that positive responses are due to cross reactive antibodies to community coronaviruses rather than SARS-CoV-2.

Methods: This study describes the development and validation of a high-throughput multiplex antibody detection assay.

Results: The multiplex assay has the capacity to identify, simultaneously, patient responses to 5 SARS-CoV-2 proteins, namely, the full spike protein, 3 individual domains of the spike protein (S1, S2, and receptor binding domain), and the nucleocapsid protein. The antibody response to the above proteins are SARS-CoV-2-specific, as antibodies against 4 common coronaviruses do not cross-react.

Conclusions: This new assay provides a novel tool to interrogate the spectrum of immune responses to SAR-CoV-2 and is uniquely suitable for use in the transplant setting. Test configuration is essentially identical to the single antigen bead assays used in the majority of histocompatibility laboratories around the world and could easily be implemented into routine screening of transplant candidates and recipients.

Download full-text PDF

Source
http://dx.doi.org/10.1097/TP.0000000000003524DOI Listing

Publication Analysis

Top Keywords

development validation
8
detect antibodies
8
sars-cov-2 proteins
8
antibodies sars-cov-2
8
candidates recipients
8
spike protein
8
antibodies
5
validation multiplex
4
multiplex bead-based
4
bead-based assay
4

Similar Publications

Background: Electronic pharmacy (e-pharmacy) services are growing rapidly, offering increased accessibility, privacy, and value. Understanding e-pharmacy customer satisfaction, attitudes, and perceptions in Saudi Arabia is crucial for improving the services and enhancing health outcomes. This study aims to examine customers' perceptions, preferences, satisfaction, and experiences with electronic pharmacy services, including community pharmacy e-commerce.

View Article and Find Full Text PDF

Unveiling insights from the Joint FAO/WHO Expert Committee on Food Additives (JECFA) portal.

Sci Data

December 2024

Unit of Biostatistics, Epidemiology, and Public Health, Department of Cardiac Thoracic Vascular Sciences and Public Health, University of Padova, via Loredan 18, Padova, 35131, Italy.

This study presents a method for automating the retrieval of key identifies and links to toxicological data from the Joint FAO/WHO Expert Committee on Food Additives (JECFA) database using web scraping techniques. Although the method primarily serves as an automated indexing tool, facilitating organization and access to relevant reports, monographs, and specifications, it significantly enhances the efficiency of navigating the extensive JECFA database. Researchers can then perform more targeted and efficient searches, although additional manual steps are required to extract and structure the detailed toxicological data.

View Article and Find Full Text PDF

Towards a histological diagnosis of childhood small vessel CNS vasculitis.

Pediatr Rheumatol Online J

December 2024

Section of Rheumatology, Department of Pediatrics, Alberta Children's Hospital, University of Calgary, Calgary, Canada.

Background: Primary small vessel CNS vasculitis (sv-cPACNS) is a challenging inflammatory brain disease in children. Brain biopsy is mandatory to confirm the diagnosis. This study aims to develop and validate a histological scoring tool for diagnosing small vessel CNS vasculitis.

View Article and Find Full Text PDF

To achieve carbon neutrality, solar photovoltaic (PV) in China has undergone enormous development over the past few years. PV datasets with high accuracy and fine temporal span are crucial to assess the corresponding carbon reductions. In this study, we employed the random forest classifier to extract PV installations throughout China in 2015 and 2020 using Landsat-8 imagery in Google Earth Engine.

View Article and Find Full Text PDF

Longitudinal CT Radiomics to Predict Progression-free Survival in Patients with Locally Advanced Gastric Cancer After Neoadjuvant Chemotherapy.

Acad Radiol

December 2024

Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China (B.W., X.H., Z.Z., Z.L., S.L.). Electronic address:

Rationale And Objectives: To develop and validate a radiomics signature, utilizing baseline and restaging CT, for preoperatively predicting progression-free survival (PFS) after neoadjuvant chemotherapy (NAC) in locally advanced gastric cancer (LAGC).

Methods: A total of 316 patients with LAGC who received NAC followed by gastrectomy were retrospectively included in this single-center study; these patients were split into two cohorts, one for training (n = 243) and the other for validation (n = 73), based on the different districts of our hospital. A total of 1316 radiomics features were extracted from the volume of interest of the gastric-cancer lesion on venous phase CT images.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!