Bifalgorithm post · Latest research covid · ARTICLE IN PRESS
Cytof Analysis
Cytof Analysis (Latest research covid · ARTICLE IN PRESS) — "To explore potential correlations between plasma ADCC activity and slow viral clearance, we aimed…
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- Immune cell subsets were analyzed for relationships with ADCC efficiency and SARS-CoV-2 clearance.
- The study aimed to determine how immune cell subsets relate to plasma ADCC activity and the rate of viral clearance.
- PBMCs from COVID-19 patients were profiled by CyTOF, focusing on T cells, B cells, NK cells, and dendritic cells.
- Canonical surface markers were used for lineage gating, followed by t-SNE and FlowSOM analysis of each major lineage.
- Each lineage yielded 20 phenotypically distinct clusters, whose relative abundances were tested by regression analysis.
- The analysis identified four coordinated immune modules with distinct correlation profiles.
- The cytolytic killer cell module included NK_C6, NK_C12, and cytotoxic CD8⁺ T-cell subsets.
- NK_C6 and NK_C12 expressed high levels of NKG2D, NKp30, NKp46, DNAM-1, granzyme B, and perforin.
- These cytotoxic subsets strongly and positively correlated with the slope of viral clearance, supporting a role in rapid viral elimination.
- NK_C9 had relatively low expression of NKp30, NKG2D, and DNAM-1 but showed a moderate positive correlation with ADCC efficiency.
- NK_C6 and NK_C12 showed negative or negligible correlations with ADCC efficiency despite their high levels of activating receptors.
- Lower-cytotoxicity NK subsets may still participate in antibody-dependent virus elimination without belonging to the primary ADCC-associated module.