News Release

Unveiling a new mechanism that accelerates aging of adipose tissues

Peer-Reviewed Publication

Pohang University of Science & Technology (POSTECH)

Figure 1

image: Metabolic phenotype affected by aging and adipocyte-specific Crtc2 knockout. Adipocyte-specific Crtc2 knockout mice (Crtc2 AKO) confirmed a suppression of impaired glucose tolerance (A) and an increase in fat mass (B) caused by aging. Moreover, Crtc2 AKO mice exhibited a significant reduction in fat accumulation in the liver and adipose tissues due to aging (C). view more 


Korean researchers have unveiled a novel signaling pathway that fosters aging-related chronic metabolic disorders.


A research team led by Professor Jong Kyoung Kim from the Department of Life Sciences at POSTECH along with Professor Seung-Hoi Koo from the Division of Life Sciences at Korea University and principal researcher Geum-Sook Hwang from Korea Basic Science Institute (KBSI)   announced the discovery of a new mechanism where BCAA metabolic pathway becomes impaired due to aging, resulting in dysfunctions of adipose cells and chronic metabolic disorders. The research findings were published in Nature Aging (IF=16.6) on July 24 (local time in London).


Adipocytes play a crucial role in controlling energy metabolic homeostasis. These cells along with preadipocyte cells and various immune cells comprising adipose tissues undergo cellular senescence. The release of the senescence associated secretory phenotype (SASP) from these cells accelerates aging and diminishes the functions of adipose tissues. Consequently, fat accumulation occurs in liver and muscle cells, leading to the onset of metabolic disorders and ultimately reducing health span.


In their earlier research published in Nature Communications, the research team led by Professor Seung-Hoi Koo uncovered that over-activation of CRTC2 induces insulin resistance, fatty liver, and obesity. However, until now, no research findings explored the impact of CRTC2 in adipocytes on aging and its related disorders.


This recent research marks the first confirmation that an increase in adipose CRTC2 due to aging accelerates cellular senescence, leading to a loss of adipocyte functions and aging-related chronic metabolic disorders. CRTC2 reduces the expression of PPAR gamma in adipocytes and impairs catabolism of branched-chain amino acid (BCAA). Consequently, the mechanistic target of rapamycin complex (mTORC1) becomes activated, as revealed by the composite analysis of metabolome-transcriptome. Increased mTORC1 activation triggers cellular senescence and controls mitochondrial hemostasis, thereby accelerating aging.


The analysis of single-cell transcriptome data showed that aged mice’s adipocytes had increased SASP, particularly IL-1beta and TNF-alpha. This leads to adipose tissue remodeling by inhibiting preadipocyte cell differentiation potency and immunocyte regulations. Notably, mice with CRTC2 removed from their adipocytes displayed limited activation of BCAA-mTORC1 axis, ultimately inhibiting the development of chronic metabolic disorders associated with aging. This suggests that aging can be mitigated by controlling CRTC2 or BCAA catabolism.


On the significance of the study, Professor Seung-Hoi Koo explained, “This study employed the latest convergent omics technology to unveil, for the first time, that an increase of CRTC2 in adipocytes due to aging leads to impaired BCAA catabolism, which is the primary cause of cell aging and metabolic disorders. Consequently, selective inhibition of CRTC2 or activation of PPAR gamma in adipocytes may hold the potential to inhibit aging and extend health span.”


The study was conducted with the support from the Korea Mouse Phenotyping Center Project and the Mid-Career Researcher Project of the National Research Foundation of Korea under the Ministry of Science and ICT, and the Project for Advanced Equipment-based Multi-omics Big Data Convergence Platform Establishment of the National Research Council of Science and Technology and the Project for Establishment of Bio-research Resources Usage Foundation.

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