Elvira Maličev

and 1 more

Mesenchymal stem cells (MSCs) are of great interest in cell therapies due to their immunomodulatory properties and other effects they have on recipients after autologous or allogeneic transplantation. In the majority of clinical applications, a high number of MSCs is required; for this reason, isolated MSCs have to be expanded in the cell culture until the desired number is reached. Determining the MSC count from different tissue origins preceding cell expansion is not widely implemented. Phenotyping using flow cytometry and MSCs enumeration is usually performed only during or after their expansion. Counting freshly isolated cells is challenging due to their rareness and heterogeneity. Heterogeneity is noticeable among donors, tissues, and cell subpopulations. The identification of MSCs from different tissues is also complex because there is no consensus on the uniform cell surface marker panel. There are also differences in the concentration of cells which may be influenced by donor age, health status, isolation methods, and various other factors. As MSC applicability is continuously growing and developing, there is a need to implement and standardise counting methods for freshly isolated MSCs. With the introduction of a uniform procedure to count MSCs right after tissue harvest, we could predict the number of passages needed for cell expansion and reduce overall cell manufacturing costs. For new methodologies, where uncultured cells are used in therapy with what are referred to as one-step procedures, determining the number of freshly isolated MSCs is even more important

Katerina Jazbec

and 11 more

Background: Hyperimmune convalescent COVID-19 plasma (CCP) containing anti-SARS-CoV-2 neutralizing antibodies (NAbs) was proposed as a therapeutic option for patients early in the new coronavirus disease pandemic. The efficacy of this therapy depends on the quantity of neutralizing antibodies (NAbs) in the CCP units, with titers > 1:160 being recommended. The standard neutralizing tests (NTs) used for determining appropriate CCP donors are technically demanding and expensive and take several days. We explored whether they could be replaced by high-throughput serology tests and a set of available clinical data. Methods: Our study included 1302 CCP donors after PCR-confirmed COVID-19 infection. To predict donors with high NAb titers, we built four (4) multiple logistic regression models evaluating the relationships of demographic data, COVID-19 symptoms, results of various serological testing, the period between disease and donation, and COVID-19 vaccination status. Results: The analysis of the four models showed that the chemiluminescent microparticle assay (CMIA) for the quantitative determination of IgG Abs to the RBD of the S1 subunit of the SARS-CoV-2 spike protein was enough to predict the CCP units with a high NAb titer. CCP donors with the respective results >6000 AU/ml SARS-CoV-2 IgG had an 80% probability of attaining high NAb titers. Including additional variables such as donor demographics, clinical symptoms, or time of donation into a particular predictive model did not significantly increase its sensitivity and specificity. Conclusion: A simple quantitative serological determination of anti-SARS-CoV-2 antibodies alone is satisfactory for efficiently predicting CCP donors with high titer NAbs.