The iterative shrinkage thresholding algorithm reveals dynamic aging trajectories of human T lymphocytes via multidimensional spectral flow cytometry analysis.

Yan Chen, Junxiang Shu, Hongjie Liu, Ying Jiao, Minyan He, Xianfeng Zha, Rong Guo, Chunyu Huang, Zhiqiang Liu, Guangqiang Li, Yafang Li, Li Shi, Meiji Chen, Xin Tang, Mingyue Zhang, Jie Qin, Yan Xu, Zheng Xiang, Zhinan Yin

Institute of Translational Medicine Zhuhai People's Hospital Affiliated with Jinan University, Zhuhai, Guangdong, China.Institute of Translational Medicine Zhuhai People's Hospital Affiliated with Jinan University, Zhuhai, Guangdong, China. · pubmed

Paper

Abstract

Immunosenescence is a fundamental hallmark of aging, characterized by differential susceptibility across immune cell lineages. T lymphocytes are particularly vulnerable; however, the distribution and dynamics of aging-associated immune markers across T cell subsets remain incompletely characterized. In this study, we enrolled 462 healthy individuals stratified into six groups spanning 20 to over 70 years. Using multiparametric spectral flow cytometry, we systematically characterized T lymphocyte subsets, capturing both immunophenotypic diversity and functional status. We identified a progressive age-associated decline in the frequencies of CD8

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Research summary

The study identifies age-associated declines in T lymphocyte subsets and their dynamics. This research is relevant as it explores the immunosenescence aspect of aging, contributing to the understanding of immune system changes that could inform strategies for longevity and age-related health improvements.

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