• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

从免疫衰老到衰老类型——通过百分位数估计为免疫年龄生物标志物建立参考区间。

From Immunosenescence to Aging Types-Establishing Reference Intervals for Immune Age Biomarkers by Centile Estimation.

机构信息

Leibniz Research Centre for Working Environment and Human Factors (IfADo), Ardeystraße 67, 44139 Dortmund, Germany.

出版信息

Int J Mol Sci. 2023 Aug 24;24(17):13186. doi: 10.3390/ijms241713186.

DOI:10.3390/ijms241713186
PMID:37685992
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10487963/
Abstract

Immunological aging type definition requires establishing reference intervals from the distribution of immunosenescence biomarkers conditional on age. For 1605 individuals (18-97 years), we determined the comprehensive immune age index IMMAX from flow-cytometry-based blood cell sub-populations and identified age-specific centiles by fitting generalized additive models for location, scale, and shape. The centiles were uncorrelated with age and facilitated the categorization of individuals as immunologically slow or fast aging types. Using its 50th percentile as a reference, we rescaled the IMMAX to equivalent years of life (EYOL) and computed the immunological age gap as the difference between EYOL and chronological age. Applied to preliminary baseline and follow-up measurements from 53 participants of the Dortmund Vital Study (Clinical-Trials.gov Identifier: NCT05155397), the averaged changes in the IMMAX and EYOL conformed to the 5-year follow-up period, whereas no significant changes occurred concerning IMMAX centiles and age gap. This suggested that the participants immunologically adapted to aging and kept their relative positions within the cohort. Sex was non-significant. Methodical comparisons indicated that future confirmatory analyses with the completed follow-up examinations could rely on percentile curves estimated by simple linear quantile regression, while the selection of the immunosenescence biomarker will greatly influence the outcome, with IMMAX representing the preferable choice.

摘要

免疫衰老类型的定义需要根据年龄确定免疫衰老生物标志物的分布,从而建立参考区间。在 1605 名个体(18-97 岁)中,我们通过基于流式细胞术的血细胞亚群确定了综合免疫年龄指数 IMMAX,并通过拟合位置、比例和形状的广义加性模型确定了特定年龄的百分位数。这些百分位数与年龄无关,有助于将个体分类为免疫衰老速度较慢或较快的类型。我们将 IMMAX 以其第 50 个百分位数作为参考进行了重新调整,以等效的生命年(EYOL)表示,并计算了免疫年龄差距,即 EYOL 与实际年龄的差值。将其应用于多特蒙德生命研究(Clinical-Trials.gov 标识符:NCT05155397)53 名参与者的初步基线和随访测量中,IMMAX 和 EYOL 的平均变化与 5 年随访期一致,而 IMMAX 百分位数和年龄差距没有发生显著变化。这表明参与者在免疫上适应了衰老,并在队列中保持了相对位置。性别无显著影响。方法学比较表明,未来随着完成的随访检查进行的验证性分析可以依赖于简单线性分位数回归估计的百分位数曲线,而免疫衰老生物标志物的选择将极大地影响结果,其中 IMMAX 是更好的选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7954/10487963/d27a7496f6bd/ijms-24-13186-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7954/10487963/abdd89c79d1c/ijms-24-13186-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7954/10487963/cc5bef80dce9/ijms-24-13186-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7954/10487963/3f30f480e354/ijms-24-13186-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7954/10487963/71a007a4c8d9/ijms-24-13186-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7954/10487963/cb063f9e35e7/ijms-24-13186-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7954/10487963/4d8c770da6be/ijms-24-13186-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7954/10487963/d27a7496f6bd/ijms-24-13186-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7954/10487963/abdd89c79d1c/ijms-24-13186-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7954/10487963/cc5bef80dce9/ijms-24-13186-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7954/10487963/3f30f480e354/ijms-24-13186-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7954/10487963/71a007a4c8d9/ijms-24-13186-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7954/10487963/cb063f9e35e7/ijms-24-13186-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7954/10487963/4d8c770da6be/ijms-24-13186-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7954/10487963/d27a7496f6bd/ijms-24-13186-g006.jpg

相似文献

1
From Immunosenescence to Aging Types-Establishing Reference Intervals for Immune Age Biomarkers by Centile Estimation.从免疫衰老到衰老类型——通过百分位数估计为免疫年龄生物标志物建立参考区间。
Int J Mol Sci. 2023 Aug 24;24(17):13186. doi: 10.3390/ijms241713186.
2
Calibrating a Comprehensive Immune Age Metric to Analyze the Cross Sectional Age-Related Decline in Cardiorespiratory Fitness.校准综合免疫年龄指标以分析心肺适能与年龄相关的横断面下降情况。
Biology (Basel). 2022 Oct 27;11(11):1576. doi: 10.3390/biology11111576.
3
Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.在流行地区,服用抗叶酸抗疟药物的人群中,叶酸补充剂与疟疾易感性和严重程度的关系。
Cochrane Database Syst Rev. 2022 Feb 1;2(2022):CD014217. doi: 10.1002/14651858.CD014217.
4
A nationwide study on immunosenescence biomarkers profile in older adults: ELSI-Brazil.一项关于老年人免疫衰老生物标志物特征的全国性研究:巴西 ELSI 研究。
Exp Gerontol. 2024 Jun 15;191:112433. doi: 10.1016/j.exger.2024.112433. Epub 2024 Apr 18.
5
Growth differentiation factor 15 in a community-based sample: age-dependent reference limits and prognostic impact.基于社区样本的生长分化因子 15:年龄依赖性参考范围和预后影响。
Ups J Med Sci. 2018 Jun;123(2):86-93. doi: 10.1080/03009734.2018.1460427. Epub 2018 May 1.
6
An immunological age index in bipolar disorder: A confirmatory factor analysis of putative immunosenescence markers and associations with clinical characteristics.双相障碍的免疫年龄指数:潜在免疫衰老标志物的验证性因子分析及其与临床特征的关联。
Int J Methods Psychiatr Res. 2018 Dec;27(4):e1614. doi: 10.1002/mpr.1614. Epub 2018 Apr 25.
7
Effects of Immunosenescence on the Lower Expression of Surface Molecules in Neutrophils and Lymphocytes.免疫衰老对中性粒细胞和淋巴细胞表面分子低表达的影响。
Curr Aging Sci. 2018;11(2):118-125. doi: 10.2174/1874609811666180605092234.
8
HIV-mediated immune aging in young adults infected perinatally or during childhood.HIV 介导的围生期或儿童期感染的年轻人免疫衰老。
AIDS. 2019 Sep 1;33(11):1705-1710. doi: 10.1097/QAD.0000000000002275.
9
Accelerated immune aging was correlated with lupus-associated brain fog in reproductive-age systemic lupus erythematosus patients.加速的免疫衰老与育龄期系统性红斑狼疮患者的狼疮相关脑雾有关。
Int J Rheum Dis. 2020 May;23(5):620-626. doi: 10.1111/1756-185X.13816. Epub 2020 Feb 27.
10
Immunosenescence profiles are not associated with muscle strength, physical performance and sarcopenia risk in very old adults: The Newcastle 85+ Study.免疫衰老特征与非常高龄老年人的肌肉力量、身体表现和肌肉减少症风险无关:纽卡斯尔 85+ 研究。
Mech Ageing Dev. 2020 Sep;190:111321. doi: 10.1016/j.mad.2020.111321. Epub 2020 Jul 28.

引用本文的文献

1
The association between hair cortisol and burnout is moderated by age, psychosocial, and immunological markers.头发皮质醇与职业倦怠之间的关联受到年龄、心理社会和免疫标志物的调节。
Brain Behav Immun Health. 2024 Nov 23;43:100909. doi: 10.1016/j.bbih.2024.100909. eCollection 2025 Feb.

本文引用的文献

1
Biomarkers selection and mathematical modeling in biological age estimation.生物年龄估计中的生物标志物选择与数学建模
NPJ Aging. 2023 Jul 1;9(1):13. doi: 10.1038/s41514-023-00110-8.
2
The meaning of adaptation in aging: insights from cellular senescence, epigenetic clocks and stem cell alterations.衰老过程中适应的意义:来自细胞衰老、表观遗传钟和干细胞改变的见解。
Nat Aging. 2023 Jul;3(7):766-775. doi: 10.1038/s43587-023-00447-5. Epub 2023 Jun 29.
3
A Systematic Analysis of Biological, Sociodemographic, Psychosocial, and Lifestyle Factors Contributing to Work Ability Across the Working Life Span: Cross-sectional Study.
对整个工作寿命期影响工作能力的生物、社会人口学、心理社会和生活方式因素的系统分析:横断面研究。
JMIR Form Res. 2023 May 19;7:e40818. doi: 10.2196/40818.
4
Investigating the potential of a prematurely aged immune phenotype in severely injured patients as predictor of risk of sepsis.研究严重创伤患者过早衰老免疫表型作为脓毒症风险预测指标的潜力。
Immun Ageing. 2022 Dec 5;19(1):60. doi: 10.1186/s12979-022-00317-5.
5
Calibrating a Comprehensive Immune Age Metric to Analyze the Cross Sectional Age-Related Decline in Cardiorespiratory Fitness.校准综合免疫年龄指标以分析心肺适能与年龄相关的横断面下降情况。
Biology (Basel). 2022 Oct 27;11(11):1576. doi: 10.3390/biology11111576.
6
Advanced biological age is associated with improved antibody responses in older high-dose influenza vaccine recipients over four consecutive seasons.在连续四个季节中,较高的生物学年龄与老年高剂量流感疫苗接种者抗体反应的改善有关。
Immun Ageing. 2022 Aug 23;19(1):39. doi: 10.1186/s12979-022-00296-7.
7
Evaluation of T-cell aging-related immune phenotypes in the context of biological aging and multimorbidity in the Health and Retirement Study.在健康与退休研究中,结合生物衰老和多种疾病情况评估T细胞衰老相关免疫表型。
Immun Ageing. 2022 Jul 20;19(1):33. doi: 10.1186/s12979-022-00290-z.
8
Measuring biological age using omics data.利用组学数据测量生物年龄。
Nat Rev Genet. 2022 Dec;23(12):715-727. doi: 10.1038/s41576-022-00511-7. Epub 2022 Jun 17.
9
Impact of Biological and Lifestyle Factors on Cognitive Aging and Work Ability in the Dortmund Vital Study: Protocol of an Interdisciplinary, Cross-sectional, and Longitudinal Study.多特蒙德生命研究中生物和生活方式因素对认知老化及工作能力的影响:一项跨学科、横断面和纵向研究的方案
JMIR Res Protoc. 2022 Mar 14;11(3):e32352. doi: 10.2196/32352.
10
An inflammatory aging clock (iAge) based on deep learning tracks multimorbidity, immunosenescence, frailty and cardiovascular aging.基于深度学习的炎症性衰老时钟 (iAge) 可追踪多种疾病、免疫衰老、虚弱和心血管衰老。
Nat Aging. 2021 Jul;1:598-615. doi: 10.1038/s43587-021-00082-y. Epub 2021 Jul 12.