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衰老的免疫生物标志物。

Immunological biomarkers of aging.

作者信息

Wu Fei, Mu Wei-Chieh, Markov Nikola T, Fuentealba Matias, Halaweh Heather, Senchyna Fiona, Manwaring-Mueller Max N, Winer Daniel A, Furman David

机构信息

Buck AI Platform, Buck Institute for Research on Aging, Novato, CA, United States.

Diabetes Research Group, Division of Cellular and Molecular Biology, Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.

出版信息

J Immunol. 2025 May 1;214(5):889-902. doi: 10.1093/jimmun/vkae036.

DOI:10.1093/jimmun/vkae036
PMID:40443365
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12123219/
Abstract

The immune system has long been recognized for its critical role in the elimination of pathogens and the development of autoimmune diseases, but recent evidence demonstrates that it also contributes to noncommunicable diseases associated with biological aging processes, such as cancer, cardiovascular disease, neurodegeneration, and frailty. This review examines immunological biomarkers of aging, focusing on how the immune system evolves with age and its impact on health and disease. It discusses the historical development of immunological assessments, technological advancements, and the creation of novel biomarkers and models to study immune aging. We also explore the clinical implications of immune aging, such as increased susceptibility to infectious diseases, poor vaccine responses, and a higher incidence of noncommunicable diseases. In summary, we provide a comprehensive overview of current research, highlight the clinical relevance of immune aging, and identify gaps in knowledge that require further investigation.

摘要

免疫系统长期以来因其在消除病原体和自身免疫性疾病发展中的关键作用而被认可,但最近的证据表明,它也与生物衰老过程相关的非传染性疾病有关,如癌症、心血管疾病、神经退行性变和身体虚弱。本综述探讨衰老的免疫生物标志物,重点关注免疫系统如何随年龄演变及其对健康和疾病的影响。它讨论了免疫评估的历史发展、技术进步以及用于研究免疫衰老的新型生物标志物和模型的创建。我们还探讨了免疫衰老的临床意义,如对传染病易感性增加、疫苗反应不佳以及非传染性疾病发病率较高。总之,我们提供了当前研究的全面概述,强调了免疫衰老的临床相关性,并确定了需要进一步研究的知识空白。

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Biogerontology. 2025 Aug 13;26(5):161. doi: 10.1007/s10522-025-10302-2.
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Aging's impact on the immune system.衰老对免疫系统的影响。
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本文引用的文献

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Biologically informed machine learning modeling of immune cells to reveal physiological and pathological aging process.基于生物学信息的免疫细胞机器学习建模,以揭示生理和病理衰老过程。
Immun Ageing. 2024 Oct 24;21(1):74. doi: 10.1186/s12979-024-00479-4.
2
Challenges and recommendations for the translation of biomarkers of aging.衰老生物标志物翻译的挑战与建议。
Nat Aging. 2024 Oct;4(10):1372-1383. doi: 10.1038/s43587-024-00683-3. Epub 2024 Sep 16.
3
Development of an epigenetic clock resistant to changes in immune cell composition.
开发一种对免疫细胞组成变化具有抗性的表观遗传钟。
Commun Biol. 2024 Aug 2;7(1):934. doi: 10.1038/s42003-024-06609-4.
4
From Genesis to Old Age: Exploring the Immune System One Cell at a Time with Flow Cytometry.从起源到衰老:通过流式细胞术逐个细胞探索免疫系统
Biomedicines. 2024 Jul 3;12(7):1469. doi: 10.3390/biomedicines12071469.
5
Neuronal senescence may drive brain aging.神经元衰老可能导致大脑衰老。
Science. 2024 Jun 28;384(6703):1404-1406. doi: 10.1126/science.adi3450. Epub 2024 Jun 27.
6
Single-cell analysis identifies conserved features of immune dysfunction in simulated microgravity and spaceflight.单细胞分析鉴定模拟微重力和空间飞行中免疫功能障碍的保守特征。
Nat Commun. 2024 Jun 11;15(1):4795. doi: 10.1038/s41467-023-42013-y.
7
Immunophenotyping with (phospho)protein profiling and fluorescent cell barcoding for single-cell signaling analysis and biomarker discovery.用于单细胞信号分析和生物标志物发现的(磷酸化)蛋白质谱分析和荧光细胞条形码免疫表型分析。
NPJ Precis Oncol. 2024 May 20;8(1):107. doi: 10.1038/s41698-024-00604-y.
8
Evidence of a pan-tissue decline in stemness during human aging.人类衰老过程中干细胞特性在全组织范围内衰退的证据。
Aging (Albany NY). 2024 Apr 4;16(7):5796-5810. doi: 10.18632/aging.205717.
9
Complete Blood Count (CBC)-Derived Inflammation Indexes Are Useful in Predicting Metabolic Syndrome in Adults with Severe Obesity.全血细胞计数(CBC)衍生的炎症指标有助于预测重度肥胖成人的代谢综合征。
J Clin Med. 2024 Feb 27;13(5):1353. doi: 10.3390/jcm13051353.
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T cell senescence: a new perspective on immunotherapy in lung cancer.T 细胞衰老:肺癌免疫治疗的新视角。
Front Immunol. 2024 Feb 13;15:1338680. doi: 10.3389/fimmu.2024.1338680. eCollection 2024.