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Decoding immune aging at single-cell resolution
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DOI：10.1016/j.it.2025.09.001.png)
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Abstract
En 中文
Single-cell technologies provide unprecedented resolution to dissect peripheral immune aging trajectories across the human lifespan. Aging features distinct alterations in T, B, NK, and myeloid cell subsets, including naive T cell depletion, clonal expansion, and emergence of atypical immune states. Immune aging clocks built from scRNA-seq and multi-omics data show promise for quantifying biological age and predicting immune dysfunction. Technical challenges such as batch effects, annotation inconsistency, and platform limitations hinder robust immune aging modeling. Integration of third-generation sequencing, multimodal assays, and large-scale foundation models enhances aging clock precision and interpretability. Lifespan-spanning cohort designs, including sex and ethnic diversity, are essential to translate immune aging clocks into clinical practice.
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