Selection of O-negative induced pluripotent stem cell clones for high-density red blood cell production in a scalable perfusion bioreactor system.

OBJECTIVES: Large-scale generation of universal red blood cells (RBCs) from O-negative (O-ve) human induced pluripotent stem cells (hiPSCs) holds the potential to alleviate worldwide shortages of blood and provide a safe and secure year-round supply. Mature RBCs and reticulocytes, the immature counterparts of RBCs generated during erythropoiesis, could also find important applications in research, for example in malaria parasite infection studies. However, one major challenge is the lack of a high-density culture platform for large-scale generation of RBCs in vitro. MATERIALS AND METHODS: We generated 10 O-ve hiPSC clones and evaluated their potential for mesoderm formation and erythroid differentiation. We then used a perfusion bioreactor system to perform studies with high-density cultures of erythroblasts in vitro. RESULTS: Based on their tri-lineage (and specifically mesoderm) differentiation potential, we isolated six hiPSC clones capable of producing functional erythroblasts. Using the best performing clone, we demonstrated the small-scale generation of high-density cultures of erythroblasts in a perfusion bioreactor system. After process optimization, we were able to achieve a peak cell density of 34.7 million cells/ml with 92.2% viability in the stirred bioreactor. The cells expressed high levels of erythroblast markers, showed oxygen carrying capacity, and were able to undergo enucleation. CONCLUSIONS: This study demonstrated a scalable platform for the production of functional RBCs from hiPSCs. The perfusion culture platform we describe here could pave the way for large volume-controlled bioreactor culture for the industrial generation of high cell density erythroblasts and RBCs.

Gamma Delta T Cells and Their Involvement in COVID-19 Virus Infections.

The global outbreak of the SARS-Cov-2 virus in 2020 has killed millions of people worldwide and forced large parts of the world into lockdowns. While multiple vaccine programs are starting to immunize the global population, there is no direct cure for COVID-19, the disease caused by the SARS-Cov-2 infection. A common symptom in patients is a decrease in T cells, called lymphopenia. It is as of yet unclear what the exact role of T cells are in the immune response to COVID-19. The research so far has mainly focused on the involvement of classical αß T cells. However, another subset of T cells called γδ T cells could have an important role to play. As part of the innate immune system, γδ T cells respond to inflammation and stressed or infected cells. The γδ T cell subset appears to be particularly affected by lymphopenia in COVID-19 patients and commonly express activation and exhaustion markers. Particularly in children, this subset of T cells seems to be most affected. This is interesting and relevant because γδ T cells are more prominent and active in early life. Their specific involvement in this group of patients could indicate a significant role for γδ T cells in this disease. Furthermore, they seem to be involved in other viral infections and were able to kill SARS infected cells in vitro. γδ T cells can take up, process and present antigens from microbes and human cells. As e.g. tumour-associated antigens are presented by MHC on γδ T cells to classical T-cells, we argue here that it stands to reason that also viral antigens, such as SARS-Cov-2-derived peptides, can be presented in the same way. γδ T cells are already used for medical purposes in oncology and have potential in cancer therapy. As γδ T cells are not necessarily able to distinguish between a transformed and a virally infected cell it could therefore be of great interest to investigate further the relationship between COVID-19 and γδ T cells.

Psychological Effects of Screen Time in Health Care Workers During the COVID-19 Pandemic.

Objective: As the coronavirus disease (COVID-19) outbreak is the first pandemic to occur in the modern smartphone era, people universally rely on their electronic devices to stay current on the rapidly evolving circumstances. The objective of this study was to examine how daily screen time levels affect the mental health of health care workers attempting to stay up to date on the ever-changing COVID-19-related information available to them.Methods: Health care workers at an academic teaching hospital were asked to participate in a 12-question online-based survey between the dates of May 30, 2020, and June 3, 2020. The questions included their sex, age range, occupation, department, daily screen time, changes in screen time in the last 4 weeks, and mental health outcomes such as sleep, mood, anxiety, and difficulty controlling worry.Results: No association was found between age, sex, occupation, and screen time. There was a statistically significant association between the type of department and daily screen time hours (P = .012). A positive trend was noted between screen time and sleep disruption (P = .09). An increase in hours in the last 4 weeks was associated with age (P = .03). A positive trend was also noted for an increase in screen hours and sleep disruption (P = .11) and anxiety (P = .10).Conclusions: A possible explanation for our finding of screen time not being associated with mental health outcomes could be that the knowledge that information was readily available through technology provided comfort to people as the pandemic evolved and brought changes to their daily lives.