Cited by 286DNA Repair MechanismsGenetics, Aging, and Longevity in Model OrganismsMetabolism, Diabetes, and Cancer

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DNA Damage Response and Metabolic Disease

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Shimizu, Ippei, Yoshida, Yohko, Suda, Masayoshi, Minamino, Tohru·2014·Cell Metabolism

DOI 10.1016/j.cmet.2014.10.008

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Abstract

Accumulation of DNA damage has been linked to the process of aging and to the onset of age-related diseases including diabetes. Studies on progeroid syndromes have suggested that the DNA damage response is involved in regulation of metabolic homeostasis. DNA damage could impair metabolic organ functions by causing cell death or senescence. DNA damage also could induce tissue inflammation that disturbs the homeostasis of systemic metabolism. Various roles of molecules related to DNA repair in cellular metabolism are being uncovered, and such molecules could also have an impact on systemic metabolism. This review explores mechanisms by which the DNA damage response could contribute to metabolic dysfunction.

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López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2013) · Cell · doi:10.1016/j.cell.2013.05.039 · Cited by 14,982
Obesity is associated with macrophage accumulation in adipose tissue
Weisberg, S. P., McCann, D., Desai, M., Rosenbaum, M., Leibel, R. L., & Ferrante, A. W. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319246 · Cited by 10,041
Inflammation and metabolic disorders
Hotamisligil, G. S. (2006) · Nature · doi:10.1038/nature05485 · Cited by 9,199
The serial cultivation of human diploid cell strains
Hayflick, L., & Moorhead, P. S. (1961) · Experimental Cell Research · doi:10.1016/0014-4827(61)90192-6 · Cited by 8,508
Adipose Expression of Tumor Necrosis Factor-α: Direct Role in Obesity-Linked Insulin Resistance
Hotamisligil, G. S., Shargill, N. S., & Spiegelman, B. M. (1993) · Science · doi:10.1126/science.7678183 · Cited by 7,518
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Dimri, G. P., Lee, X., Basile, G., Acosta, M., Scott, G., Roskelley, C., Medrano, E. E., Linskens, M., Rubelj, I., & Pereira-Smith, O. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.20.9363 · Cited by 7,477
Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistance
Xu, H., Barnes, G. T., Yang, Q., Tan, G., Yang, D., Chou, C. J., Sole, J., Nichols, A., Ross, J. S., Tartaglia, L. A., et al. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319451 · Cited by 6,760
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Ouchi, N., Parker, J. L., Lugus, J. J., & Walsh, K. (2011) · Nature Reviews Immunology · doi:10.1038/nri2921 · Cited by 4,625
Clearance of p16Ink4a-positive senescent cells delays ageing-associated disorders
Baker, D. J., Wijshake, T., Tchkonia, T., LeBrasseur, N. K., Childs, B. G., van de Sluis, B., Kirkland, J. L., & van Deursen, J. M. (2011) · Nature · doi:10.1038/nature10600 · Cited by 3,670
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Hirosumi, J., Tuncman, G., Chang, L., Görgün, C. Z., Uysal, K. T., Maeda, K., Karin, M., & Hotamisligil, G. S. (2002) · Nature · doi:10.1038/nature01137 · Cited by 3,359

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Additional file 3 of Controlling the confounding effect of metabolic gene expression to identify actual metabolite targets in microsatellite instability cancers
Li, C.-I., Yeh, Y.-M., Tsai, Y.-S., Huang, T., Shen, M.-R., & Lin, P.-C. (2024) · Figshare · doi:10.6084/m9.figshare.26573149
Additional file 8 of Controlling the confounding effect of metabolic gene expression to identify actual metabolite targets in microsatellite instability cancers
Li, C.-I., Yeh, Y.-M., Tsai, Y.-S., Huang, T., Shen, M.-R., & Lin, P.-C. (2024) · Figshare · doi:10.6084/m9.figshare.26573164
Additional file 4 of Controlling the confounding effect of metabolic gene expression to identify actual metabolite targets in microsatellite instability cancers
Li, C.-I., Yeh, Y.-M., Tsai, Y.-S., Huang, T., Shen, M.-R., & Lin, P.-C. (2024) · Figshare · doi:10.6084/m9.figshare.26573152
Additional file 6 of Controlling the confounding effect of metabolic gene expression to identify actual metabolite targets in microsatellite instability cancers
Li, C.-I., Yeh, Y.-M., Tsai, Y.-S., Huang, T., Shen, M.-R., & Lin, P.-C. (2024) · Figshare · doi:10.6084/m9.figshare.26573158
Additional file 5 of Controlling the confounding effect of metabolic gene expression to identify actual metabolite targets in microsatellite instability cancers
Li, C.-I., Yeh, Y.-M., Tsai, Y.-S., Huang, T., Shen, M.-R., & Lin, P.-C. (2024) · Figshare · doi:10.6084/m9.figshare.26573155
Additional file 1 of Integrated analysis of transcriptomic and metabolomic profiling reveal the p53 associated pathways underlying the response to ionizing radiation in HBE cells
Huang, R., Liu, X., Li, H., Zhou, Y., & Zhou, P. (2020) · Figshare · doi:10.6084/m9.figshare.12134142
Additional file 1 of Controlling the confounding effect of metabolic gene expression to identify actual metabolite targets in microsatellite instability cancers
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Additional file 7 of Controlling the confounding effect of metabolic gene expression to identify actual metabolite targets in microsatellite instability cancers
Li, C.-I., Yeh, Y.-M., Tsai, Y.-S., Huang, T., Shen, M.-R., & Lin, P.-C. (2024) · Figshare · doi:10.6084/m9.figshare.26573161
Additional file 2 of Controlling the confounding effect of metabolic gene expression to identify actual metabolite targets in microsatellite instability cancers
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Authors: Shimizu, I., Yoshida, Y., Suda, M., & Minamino, T.
Affiliations: Niigata University (JP)
Japan Science and Technology Agency (JP)
Corresponding author: Minamino, Tohru
ORCID: Shimizu, Ippei
Yoshida, Yohko
Suda, Masayoshi
Minamino, Tohru
Venue: Cell Metabolism
Publisher: Elsevier BV
Published: 2014-12
Volume: 20
Issue: 6
Pages: 967-977
ISSN: 1550-4131 (ISSN-L)
DOI: 10.1016/j.cmet.2014.10.008
OpenAlex: W2048777894
Cited by: 286
References: 138
Citations by year: 2026: 15 · 2025: 33 · 2024: 36 · 2023: 29 · 2022: 32 · 2021: 24 · 2020: 25 · 2019: 29 · 2018: 25 · 2017: 12 · 2016: 18 · 2015: 7
FWCI: 1.16
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 478 d)
Locations: Cell Metabolism (publishedVersion)
PubMed (publishedVersion)
Funders: Japan Diabetes Foundation
Ministry of Education, Culture, Sports, Science and Technology
Takeda Medical Research Foundation
Takeda Science Foundation
Ono Medical Research Foundation
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA Repair Mechanisms
Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
Keywords: DNA damage response, metabolic disorders, aging, age-related diseases, diabetes mellitus, progeroid syndromes, metabolic homeostasis, cellular senescence, cell death, tissue inflammation, DNA repair, systemic metabolism
MeSH terms: Animals, DNA Damage, DNA Repair, Humans, Metabolic Diseases

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