Cheng Hao, Li Bin
Department of Rheumatism and Immunology, Peking University Shenzhen Hospital, Guangdong, 518036 China.
Center for Immune-Related Diseases, Shanghai Institute of Immunology, Department of Respiratory and Critical Care Medicine of Ruijin Hospital, Department of Thoracic Surgery of Ruijin Hospital, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025 China.
Phenomics. 2024 May 17;4(4):397-400. doi: 10.1007/s43657-024-00166-w. eCollection 2024 Aug.
The pursuit of immortality has always been a long-standing aspiration of humanity. However, with increasing age comes the unexpected onset of aging. Although time is impartial, the process of ageing lacks uniformity. The human immune system changes with age and immune ageing significantly weakens an individual's resistance against various pathogens and cancer cells while simultaneously elevating the risk of immune disorders and chronic inflammation. Consequently, individuals who share the same chronological age may exhibit varying disease-fighting abilities. The substantial inter-individual variability underscores the imperative of precise monitoring to investigate the progressive alterations experienced by the immune system during ageing. Actually, numerous studies have focused on the changes in different lymphocyte subsets in diseases and immuno-senescence. However, quantitatively assessing host immunity remains a challenge, a comprehensive analysis of the alterations in both lymphocyte number and phenotype alterations induced by ageing remains lacking in China. Previous studies have primarily focused on the phenotypic changes in immune subsets during ageing, often utilizing a limited control cohort or lacking appropriate age-matched controls. Therefore, the standard immune markers and immune age evaluation model tailored to the Chinese population were currently needed. In a recent study, Jia et al. conducted a comprehensive investigation on a large-scale healthy Chinese cohort and successfully developed the first and largest immune age prediction model specifically tailored for the Chinese population. Here, we discussed this immune age evaluation model for the Chinese population and gave some suggestions for further improvement.
对永生的追求一直是人类长期以来的愿望。然而,随着年龄的增长,衰老会意外地出现。尽管时间是公平的,但衰老过程却缺乏一致性。人类免疫系统会随着年龄的增长而变化,免疫衰老会显著削弱个体对各种病原体和癌细胞的抵抗力,同时增加免疫紊乱和慢性炎症的风险。因此,年龄相同的个体可能表现出不同的抗病能力。个体间的巨大差异凸显了精确监测的必要性,以研究免疫系统在衰老过程中所经历的渐进性变化。实际上,许多研究都集中在疾病和免疫衰老中不同淋巴细胞亚群的变化上。然而,定量评估宿主免疫力仍然是一项挑战,在中国,对衰老引起的淋巴细胞数量和表型变化进行全面分析仍然缺乏。以往的研究主要集中在衰老过程中免疫亚群的表型变化,往往使用有限的对照组或缺乏适当的年龄匹配对照组。因此,目前需要适合中国人群的标准免疫标志物和免疫年龄评估模型。在最近的一项研究中,贾等人对大规模健康中国队列进行了全面调查,并成功开发了首个也是最大的专门针对中国人群的免疫年龄预测模型。在此,我们讨论了这个针对中国人群的免疫年龄评估模型,并提出了一些进一步改进的建议。