Lifetime age-related changes in clinical laboratory results, aging clocks and mortality predictors in 2412 Golden Retrievers

IF 7.8 1区 医学 Q1 Biochemistry, Genetics and Molecular Biology
Aging Cell Pub Date : 2025-01-24 DOI:10.1111/acel.14438
Kevin Perez, Brenna Swafford, Julia Labadie, Alejandro Ocampo
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Abstract

In this study, we investigated age-related changes in clinical laboratory data and their association with mortality in dogs from the Golden Retriever Lifetime Study. By analyzing complete blood count (CBC) and biochemistry data from 2′412 Golden Retrievers over 16,678 visits, we observed significant changes during the first 2 years of life and throughout aging. Based on these observations, we developed a biological aging clock using a LASSO model to predict age based on blood markers, achieving an accuracy of R = 0.78. Although the biological age clock and pace of aging did not significantly improve mortality prediction, a model incorporating all blood biomarkers showed better predictive power for lifetime (C-index = 0.763) and 1-year mortality (AUC = 0.817). Our findings underscore the importance of comprehensive blood analysis for aging and mortality prediction in dogs and open the door for the development of novel methods to investigate aging in companion animals.

Abstract Image

2412只金毛寻回犬临床实验室结果、衰老时钟和死亡率预测因子的终生年龄相关变化
在这项研究中,我们调查了金毛猎犬终身研究中临床实验室数据的年龄相关变化及其与狗死亡率的关系。通过分析2412只金毛寻回犬在16678次访问中的全血细胞计数(CBC)和生物化学数据,我们观察到在生命的头2年和整个衰老过程中发生了显著变化。基于这些观察,我们开发了一个生物衰老时钟,使用LASSO模型来预测基于血液标志物的年龄,达到R = 0.78的准确性。虽然生物年龄时钟和衰老速度并不能显著提高死亡率预测,但纳入所有血液生物标志物的模型对寿命(c指数= 0.763)和1年死亡率(AUC = 0.817)的预测能力更好。我们的研究结果强调了全面血液分析对狗的衰老和死亡率预测的重要性,并为开发研究伴侣动物衰老的新方法打开了大门。
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来源期刊
Aging Cell
Aging Cell 生物-老年医学
CiteScore
14.40
自引率
2.60%
发文量
212
审稿时长
8 weeks
期刊介绍: Aging Cell, an Open Access journal, delves into fundamental aspects of aging biology. It comprehensively explores geroscience, emphasizing research on the mechanisms underlying the aging process and the connections between aging and age-related diseases.
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