Methodological Answer:
Mechanistic Studies:
Use label-free DMR technology to track allosteric effects when AT1R antibodies bind. For example, monoclonal AT1R antibodies can act agonistically when combined with angiotensin II .
Measure downstream markers (e.g., TGF-β, IL-8) in endothelial cells or fibroblasts treated with patient-derived IgG containing AT1R antibodies .
Single-Cell RNA Sequencing: Profile T-cell subsets in AT1R-immunized mice to identify shifts in effector memory T cells or regulatory T cells .
Methodological Answer:
Triangulate Data Sources:
Methodological Answer:
Bispecific Antibody Engineering: Design tetravalent antibodies (e.g., PD-L1×4-1BB bispecifics) to localize activity to disease microenvironments, reducing off-target effects .
Dose Optimization via Pharmacokinetic Modeling: Use computational models to predict trimer formation (e.g., 4-1BB/antibody/PD-L1) and receptor occupancy. For ATG-101, 2 mg/kg maximized target engagement in non-human primates .
Methodological Answer:
Cohort Stratification: Compare AT1R antibody levels (via ELISA) in severe vs. mild COVID-19 patients. Note: A study found 17.5% positivity in severe cases vs. 11.8% in mild cases, though statistical significance requires larger cohorts .
Multivariate Regression Analysis: Adjust for confounders (age, comorbidities) to isolate AT1R antibody impact on outcomes .