KMID : 0624620190520010056
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BMB Reports 2019 Volume.52 No. 1 p.56 ~ p.63
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Modulation of senoinflammation by calorie restriction based on biochemical and Omics big data analysis
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Bang Eun-Jin
Lee Bong-Gi Noh Sang-Gyun Kim Dae-Hyun Jung Hee-Jin Ha Su-Gyeong Yu Byung-Pal Chung Hae-Young
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Abstract
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Aging is a complex and progressive process characterized by physiological and functional decline with time that increases susceptibility to diseases. Aged-related functional change is accompanied by a low-grade, unresolved chronic inflammation as a major underlying mechanism. In order to explain aging in the context of chronic inflammation, a new integrative concept on age-related chronic inflammation is necessary that encompasses much broader and wider characteristics of cells, tissues, organs, systems, and interactions between immune and non-immune cells, metabolic and non-metabolic organs. We have previously proposed a novel concept of senescent (seno)-inflammation and provided its frameworks. This review summarizes senoinflammation concept and additionally elaborates modulation of senoinflammation by calorie restriction (CR). Based on aging and CR studies and systems-biological analysis of Omics big data, we observed that senescence associated secretory phenotype (SASP) primarily composed of cytokines and chemokines was notably upregulated during aging whereas CR suppressed them. This result further strengthens the novel concept of senoinflammation in aging process. Collectively, such evidence of senoinflammation and modulatory role of CR provide insights into aging mechanism and potential interventions, thereby promoting healthy longevity.
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KEYWORD
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Aging, Chronic inflammation, CR, Omics big data, Senoinflammation
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