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Dataset Information

Integrative deep immune profiling of the elderly reveals systems-level signatures of aging, sex, smoking, and clinical traits.


ABSTRACT:

Background

Aging increases disease susceptibility and reduces vaccine responsiveness, highlighting the need to better understand the aging immune system and its clinical associations. Studying the human immune system, however, remains challenging due to its complexity and significant inter-individual variability.

Methods

We conducted an immune profiling study of 550 elderly participants (≥60 years) and 100 young controls (20-40 years) from the RESIST Senior Individuals (SI) cohort. Extensive demographic, clinical, and laboratory data were collected. Multi-color spectral flow cytometry and 48-plex plasma cytokine assays were used for deep immune phenotyping. Data were analyzed using unsupervised clustering and multi-dataset integration approaches.

Findings

We studied 9

SUBMITTER: Riemann L 

PROVIDER: S-EPMC11873576 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature