Ten mouse organs proteome and metabolome atlas from adult to aging.

IF 10.4 1区 生物学 Q1 GENETICS & HEREDITY
Qingwen Wang, Zhixiao Xu, Xinwen Ding, Aiting Wang, Sunfengda Song, Shuang Zhang, Youming Chen, Yi Ding, Lai Jiang, Xianting Ding
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引用次数: 0

Abstract

Background: Aging is a complex biological process characterized by progressive molecular alterations across multiple organ systems, significantly influencing disease susceptibility and mortality. Unraveling molecular interactions driving aging is crucial for interventions promoting healthy aging and mitigating senescence. However, the systemic mechanisms governing both inter-organ interactions and organ-specific aging trajectories remain incompletely characterized.

Methods: To investigate the molecular dynamics of aging, we conducted a systematic multi-omics analysis of 400 tissue samples collected from 10 organs (brain, heart, intestine, kidney, liver, lung, muscle, skin, spleen, and stomach) in mice at four distinct life stages: 4, 8, 12, and 20 months (from youth to elderly). Proteomic profiling was performed using data-independent acquisition (DIA) technology, while metabolomic analysis was performed in both positive and negative ion modes. Differential expression analysis of proteins and metabolites was employed to construct a comprehensive multi-organ aging dataset.

Results: Proteomic profiling across ten organs at four age stages identified a total of 14,763 protein groups (PGs). Of these, 18 proteins, including Ighm, C4b, and Hpx, exhibited consistent age-related differential expression patterns across all ten organs. Functional enrichment analysis highlighted the humoral immune response as a primary driver of age-related expression changes. Additionally, this study mapped a set of age-unique proteins, such as Hp, Egf, and Arg, with distinct expression patterns in aging organs. Metabolic analysis identified 3779 metabolites, with key aging-related metabolites such as NAD+, inosine, xanthine, and hypoxanthine showing significant expression changes across multiple organs. Pathway enrichment analysis revealed consistent alterations in purine metabolism, pyrimidine metabolism, riboflavin metabolism, and nicotinate/nicotinamide metabolism during multi-organ aging.

Conclusions: This study provides a multi-omics atlas of multi-organ aging, revealing both intra- and inter-organ similarities and heterogeneities. These findings offer valuable insights into the molecular mechanisms underlying geriatric health decline and serve as a foundational resource for organism-systematic early warning and targeted interventions against aging-associated pathologies.

从成年到衰老的十种小鼠器官蛋白质组和代谢组图谱。
背景:衰老是一个复杂的生物学过程,其特征是多器官系统的进行性分子改变,显著影响疾病的易感性和死亡率。揭示驱动衰老的分子相互作用对于促进健康衰老和减轻衰老的干预至关重要。然而,控制器官间相互作用和器官特异性衰老轨迹的系统机制仍然不完全确定。方法:为了研究衰老的分子动力学,我们对400个组织样本进行了系统的多组学分析,这些组织样本来自4、8、12和20个月(从青年到老年)四个不同的生命阶段的小鼠,分别来自10个器官(脑、心、肠、肾、肝、肺、肌肉、皮肤、脾脏和胃)。蛋白质组学分析使用数据独立采集(DIA)技术进行,而代谢组学分析在正离子和负离子模式下进行。通过蛋白质和代谢物的差异表达分析,构建了一个全面的多器官衰老数据集。结果:四个年龄阶段的十个器官的蛋白质组学分析共鉴定出14,763个蛋白质组(pg)。其中,18种蛋白质,包括Ighm、C4b和Hpx,在所有10个器官中表现出一致的年龄相关差异表达模式。功能富集分析强调体液免疫反应是年龄相关表达变化的主要驱动因素。此外,本研究绘制了一组年龄特有的蛋白质,如Hp、Egf和Arg,它们在衰老器官中具有不同的表达模式。代谢分析鉴定出3779种代谢物,其中与衰老相关的关键代谢物如NAD+、肌苷、黄嘌呤和次黄嘌呤在多个器官中表达显著变化。途径富集分析显示,在多器官衰老过程中,嘌呤代谢、嘧啶代谢、核黄素代谢和烟酸/烟酰胺代谢发生了一致的变化。结论:本研究提供了多器官衰老的多组学图谱,揭示了器官内和器官间的相似性和异质性。这些发现为老年健康衰退的分子机制提供了有价值的见解,并为机体系统早期预警和针对衰老相关病理的靶向干预提供了基础资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Genome Medicine
Genome Medicine GENETICS & HEREDITY-
CiteScore
20.80
自引率
0.80%
发文量
128
审稿时长
6-12 weeks
期刊介绍: Genome Medicine is an open access journal that publishes outstanding research applying genetics, genomics, and multi-omics to understand, diagnose, and treat disease. Bridging basic science and clinical research, it covers areas such as cancer genomics, immuno-oncology, immunogenomics, infectious disease, microbiome, neurogenomics, systems medicine, clinical genomics, gene therapies, precision medicine, and clinical trials. The journal publishes original research, methods, software, and reviews to serve authors and promote broad interest and importance in the field.
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