This study aims to systematically evaluate the dynamic alterations in peripheral immune subsets among patients with antibody Immunodeficiency undergoing Immunoglobulin therapy
Antibody Immunodeficiency(AID) represent a heterogeneous group of inborn errors of immunity characterized by defective antibody production, predisposing patients to recurrent infections, chronic inflammation, and paradoxical autoimmune manifestations. While Immunoglobulin replacement therapy serves as the cornerstone of management, patient clinical trajectories and responses to treatment remain highly variable. The underlying immunological defects-particularly the impaired cross-talk between T and B lymphocytes-are critical to understanding the pathogenesis and phenotypic diversity of AID. This single-center, prospective observational study is designed to systematically characterize the dynamic alterations in peripheral immune subsets among patients with antibody immunodeficiency, with a specific focus on T-B cell interactions. By employing high-resolution multiparametric flow cytometry, we will perform comprehensive profiling of critical lymphocyte subpopulations. B-cell evaluation will quantify switched memory B cells, non-switched memory B cells, plasmablasts, and double-negative B cells. Concurrently, T-cell profiling will assess circulating follicular helper T cells (pTfh), regulatory T cells (Tregs), and overarching CD4+ and CD8+ compartments. Participants will undergo baseline clinical and immunological evaluation prior to or during steady-state immunoglobulin therapy, followed by prospective longitudinal assessments. We hypothesize that specific baseline immune signatures (e.g., skewed pTfh proportions or expanded DN B cells) may serve as predictive biomarkers for the frequency of breakthrough infections and the development of autoimmune complications. Furthermore, this study will investigate the potential long-term immunomodulatory effects of immunoglobulin on restoring cellular homeostasis. Ultimately, by correlating deep immunophenotyping data with real-world clinical outcomes-specifically annualized infection rates, specific antibody responses, and IgG trough levels-this study aims to elucidate the mechanisms driving clinical heterogeneity in AID and provide an evidence base for more personalized, targeted therapeutic strategies.
Study Type
OBSERVATIONAL
Enrollment
15
Change in Peripheral Blood T-cell and B-cell Subsets
Quantification of the absolute counts and percentages of specific lymphocyte subsets to evaluate the T-B cell interaction. B-cell subsets include switched memory B cells, non-switched memory B cells, plasmablasts, and double-negative (DN) B cells. T-cell subsets include circulating follicular helper T cells (pTfh), CD4+ T cells, CD8+ T cells, and regulatory T cells (Tregs). Measurements will be performed using high-resolution multiparametric flow cytometry.
Time frame: Baseline (Month 0), Month 6, and Month 12.
Annualized Infection Rate (AIR)
The primary clinical efficacy outcome is the incidence of breakthrough infections. This is defined as the number of severe or moderate infection episodes per patient per year requiring hospitalization, intravenous antibiotics, or prolonged oral antibiotics (\>7 days).
Time frame: Prospectively assessed from Baseline up to Month 12.
Correlation Between Immune Phenotypes and IgG Trough Levels
Assessment of the statistical correlation between dynamic changes in critical immune subsets (e.g., pTfh and DN B cells) and steady-state serum IgG trough levels measured immediately prior to routine immunoglobulin. This aims to establish immunological biomarkers for optimal immunoglobulin dosing.
Time frame: Baseline (Month 0), Month 6, and Month 12.
Incidence and Evolution of Autoimmune Manifestations
Proportion of patients developing new-onset autoimmune complications or experiencing exacerbations of preexisting autoimmune conditions (such as immune cytopenia, autoimmune enteropathy, or interstitial lung disease) during the follow-up period.
Time frame: Prospectively assessed from Baseline up to Month 12.
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