W182 - Non-linear Trajectories of Human Immune Ageing Associate with Long Term Survival

Abstract Text: Ageing is associated with increasing immune dysfunction, characterised by limited protective responses and persistent low grade inflammation. Our understanding of changes that occur and which may be adaptive or harmful remains limited. Here we quantify multiple immune traits in 10 data modalities across 6,748 individuals aged 18-107 using a total of 24,509 cross-sectional and longitudinal samples. We find highly stereotyped, non-linear changes with a consistent inflection point around 70 years of age. We applied a machine learning model to the integrated dataset to learn and independently validate 13 latent normative trajectories in the data, 12 of which vary with age. We show for two trajectories that an individual’s 'immune age’, defined as their individual deviation from the population trajectory, is associated with long term mortality independent of age, sex or comorbidity with hazard ratios greater than those seen for cancer or sex and similar to that of cardiovascular disease. Interpretation of features defining immune age trajectories indicated that precipitous contraction of the naïve B cell compartment, increased IgM+ memory differentiation and IgA+ class switch recombination were strongly associated with shorter survival. In contrast, development of poly-autoreactivity in the absence of clinical autoimmunity appears adaptive, associating with higher survival rates. Our findings systematically characterise non-linear trajectories of human immune ageing and give fundamental insights into the interacting mechanisms associated.