ABSTRACT
Objective: Young adults of age 18-29 years old account for the most COVID-19 cases in the US, and ethnic groups were affected disproportionately. Correctly wearing a face mask remains a critical intervention for COVID-19 mitigation. The study aimed to examine how well Historically Black Colleges and Universities (HBCUs) residents adhered to mask wearing during the pandemic. Methods: We conducted an observational study on an urban HBCU campus and the neighborhoods in Maryland for 13 weeks in spring 2021. Results: Of 1926 (1126 on campus; 800 off campus) persons observed, 89.8% wore masks, with 83.5% covering their mouths and noses. The HBCU campus showed better mask adherence than neighborhoods (92.0% vs. 86.7%). The most common improper mask wearing was nose out, followed by only-on-chin. Cloth and surgical masks were worn the most. Conclusion: The HBCU campus and neighborhood settings presented a high rate of facemask use during the pandemic.
ABSTRACT
Coronavirus disease 2019 (COVID-19) remains a major health challenge globally. Previous studies have suggested that changes in the glycosylation of IgG are closely associated with the severity of COVID-19. This study aimed to compare the profiles of IgG N-glycome between COVID-19 patients and healthy controls. A case-control study was conducted, in which 104 COVID-19 patients and 104 age- and sex-matched healthy individuals were recruited. Serum IgG N-glycome composition was analyzed by hydrophilic interaction liquid chromatography with the ultra-high-performance liquid chromatography (HILIC-UPLC) approach. COVID-19 patients have a decreased level of IgG fucosylation, which upregulates antibody-dependent cell cytotoxicity (ADCC) in acute immune responses. In severe cases, a low level of IgG sialylation contributes to the ADCC-regulated enhancement of inflammatory cytokines. The decreases in sialylation and galactosylation play a role in COVID-19 pathogenesis via the activation of the lectin-initiated alternative complement pathway. IgG N-glycosylation underlines the complex clinical phenotypes of SARS-CoV-2 infection.