MAPPING IMMUNOSENESCENCE TRAJECTORIES IN AGING ADULTS USING INTEGRATED CYTOMICS, METHYLATION CLOCKS, AND AI-POWERED DISEASE RISK FORECASTING

Abstract

Immunosenescence and inflammaging represent fundamental biological processes driving the onset of age-related diseases. This study employed a mixed-methods experimental design integrating immunological profiling, transcriptomic analysis, and qualitative clinician insights to characterize the progression of immune aging and chronic inflammation across stratified age cohorts. Quantitative data revealed a consistent decline in naïve T cells, expansion of senescent immune cells, elevated levels of inflammatory cytokines (IL-6, TNF-α), and increased mitochondrial dysfunction. Epigenetic assays indicated accelerated biological aging, with strong associations between senescence indices and disease phenotypes including neurodegeneration, cardiovascular pathology, and osteoarthritis. Regression modeling confirmed that cytokine levels and senescence scores are predictive of age-related disease risk. The results were supported by 9 comprehensive tables and 12 complex visualizations—including line, bar, scatter, pie, and hybrid plots—demonstrating age-related immune and inflammatory shifts. A detailed diagram illustrated the central role of the senescence-associated secretory phenotype (SASP) in mediating chronic inflammation and systemic dysfunction. This integrative analysis substantiates the mechanistic link between immunosenescence and age-associated morbidities and highlights potential targets for therapeutic intervention. The findings underscore the need for immunological rejuvenation strategies in geriatric medicine and provide a foundational framework for future translational research in healthy aging.