Our limited understanding of metabolic aging poses major challenges to comprehending the diverse cellular alterations that contribute to age-related decline, and to devising targeted interventions. This review provides insights into the heterogeneous nature of cellular metabolism during aging and its response to interventions, with a specific focus on cellular heterogeneity and its implications. By synthesizing recent findings using single-cell approaches, we explored the vulnerabilities of distinct cell types and key metabolic pathways. Delving into the cell type-specific alterations underlying the efficacy of systemic interventions, we also discuss the complexity of integrating single-cell data and advocate for leveraging computational tools and artificial intelligence to harness the full potential of these data, develop effective strategies against metabolic aging, and promote healthy aging.

中文翻译：

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以单细胞分辨率探索代谢衰老的异质目标。


我们对代谢衰老的了解有限，这对理解导致与年龄相关的衰退的多种细胞变化以及设计有针对性的干预措施提出了重大挑战。这篇综述深入了解衰老过程中细胞代谢的异质性及其对干预的反应，特别关注细胞异质性及其影响。通过使用单细胞方法综合最新的发现，我们探索了不同细胞类型和关键代谢途径的脆弱性。深入研究系统干预功效背后的细胞类型特异性改变，我们还讨论了整合单细胞数据的复杂性，并主张利用计算工具和人工智能来充分利用这些数据的潜力，制定对抗代谢衰老的有效策略，并促进健康老龄化。