BMB Reports 2019; 52(1): 56-63  
Modulation of senoinflammation by calorie restriction based on biochemical and Omics big data analysis
EunJin Bang1, Bonggi Lee2, Sang-Gyun Noh1, Dae Hyun Kim1, Hee Jin Jung1, Sugyeong Ha1, Byung Pal Yu3 & Hae Young Chung1,*
1Department of Pharmacy, College of Pharmacy, Pusan National University, Busan 46241, 2Korean Medicine (KM)-Application Center, Korea Institute of Oriental Medicine (KIOM), Daegu 41062, Korea, 3Department of Physiology, The University of Texas Health Science Center at San Antonio, TX 78229, USA
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Received: October 23, 2018; Published online: January 31, 2019.
© Korean Society for Biochemistry and Molecular Biology. All rights reserved.

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.
Keywords: Aging, Chronic inflammation, CR, Omics big data, Senoinflammation

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