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Wang D, Chen K, Wang Z, Wu H, Li Y. Research progress on interferon and cellular senescence. FASEB J 2024; 38:e70000. [PMID: 39157951 DOI: 10.1096/fj.202400808rr] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 07/31/2024] [Accepted: 08/06/2024] [Indexed: 08/20/2024]
Abstract
Since the 12 major signs of aging were revealed in 2023, people's interpretation of aging will go further, which is of great significance for understanding the occurrence, development, and intervention in the aging process. As one of the 12 major signs of aging, cellular senescence refers to the process in which the proliferation and differentiation ability of cells decrease under stress stimulation or over time, often manifested as changes in cell morphology, cell cycle arrest, and decreased metabolic function. Interferon (IFN), as a secreted ligand for specific cell surface receptors, can trigger the transcription of interferon-stimulated genes (ISGs) and play an important role in cellular senescence. In addition, IFN serves as an important component of SASP, and the activation of the IFN signaling pathway has been shown to contribute to cell apoptosis and senescence. It is expected to delay cellular senescence by linking IFN with cellular senescence and studying the effects of IFN on cellular senescence and its mechanism. This article provides a review of the research on the relationship between IFN and cellular senescence by consulting relevant literature.
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Affiliation(s)
- Da Wang
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, P.R. China
| | - Kaixian Chen
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, P.R. China
| | - Zheng Wang
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, P.R. China
- National Key Laboratory of Chinese Medicine Modernization, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing, P.R. China
| | - Huali Wu
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, P.R. China
| | - Yiming Li
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, P.R. China
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Li Y, You L, Nepovimova E, Adam V, Heger Z, Jomova K, Valko M, Wu Q, Kuca K. c-Jun N-terminal kinase signaling in aging. Front Aging Neurosci 2024; 16:1453710. [PMID: 39267721 PMCID: PMC11390425 DOI: 10.3389/fnagi.2024.1453710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2024] [Accepted: 08/01/2024] [Indexed: 09/15/2024] Open
Abstract
Aging encompasses a wide array of detrimental effects that compromise physiological functions, elevate the risk of chronic diseases, and impair cognitive abilities. However, the precise underlying mechanisms, particularly the involvement of specific molecular regulatory proteins in the aging process, remain insufficiently understood. Emerging evidence indicates that c-Jun N-terminal kinase (JNK) serves as a potential regulator within the intricate molecular clock governing aging-related processes. JNK demonstrates the ability to diminish telomerase reverse transcriptase activity, elevate β-galactosidase activity, and induce telomere shortening, thereby contributing to immune system aging. Moreover, the circadian rhythm protein is implicated in JNK-mediated aging. Through this comprehensive review, we meticulously elucidate the intricate regulatory mechanisms orchestrated by JNK signaling in aging processes, offering unprecedented molecular insights with significant implications and highlighting potential therapeutic targets. We also explore the translational impact of targeting JNK signaling for interventions aimed at extending healthspan and promoting longevity.
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Affiliation(s)
- Yihao Li
- College of Life Science, Yangtze University, Jingzhou, China
| | - Li You
- College of Physical Education and Health, Chongqing College of International Business and Economics, Chongqing, China
| | - Eugenie Nepovimova
- Department of Chemistry, Faculty of Science, University of Hradec Králové, Hradec Králové, Czechia
| | - Vojtech Adam
- Department of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czechia
| | - Zbynek Heger
- Department of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czechia
| | - Klaudia Jomova
- Department of Chemistry, Faculty of Natural Sciences and Informatics, Constantine the Philosopher University in Nitra, Nitra, Slovakia
| | - Marian Valko
- Faculty of Chemical and Food Technology, Slovak University of Technology, Bratislava, Slovakia
| | - Qinghua Wu
- College of Life Science, Yangtze University, Jingzhou, China
- Department of Chemistry, Faculty of Science, University of Hradec Králové, Hradec Králové, Czechia
| | - Kamil Kuca
- Department of Chemistry, Faculty of Science, University of Hradec Králové, Hradec Králové, Czechia
- Faculty of Chemical and Food Technology, Slovak University of Technology, Bratislava, Slovakia
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Yin J, Cheng L, Hong Y, Li Z, Li C, Ban X, Zhu L, Gu Z. A Comprehensive Review of the Effects of Glycemic Carbohydrates on the Neurocognitive Functions Based on Gut Microenvironment Regulation and Glycemic Fluctuation Control. Nutrients 2023; 15:5080. [PMID: 38140339 PMCID: PMC10745758 DOI: 10.3390/nu15245080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 12/05/2023] [Accepted: 12/08/2023] [Indexed: 12/24/2023] Open
Abstract
Improper glycemic carbohydrates (GCs) consumption can be a potential risk factor for metabolic diseases such as obesity and diabetes, which may lead to cognitive impairment. Although several potential mechanisms have been studied, the biological relationship between carbohydrate consumption and neurocognitive impairment is still uncertain. In this review, the main effects and mechanisms of GCs' digestive characteristics on cognitive functions are comprehensively elucidated. Additionally, healthier carbohydrate selection, a reliable research model, and future directions are discussed. Individuals in their early and late lives and patients with metabolic diseases are highly susceptible to dietary-induced cognitive impairment. It is well known that gut function is closely related to dietary patterns. Unhealthy carbohydrate diet-induced gut microenvironment disorders negatively impact cognitive functions through the gut-brain axis. Moreover, severe glycemic fluctuations, due to rapidly digestible carbohydrate consumption or metabolic diseases, can impair neurocognitive functions by disrupting glucose metabolism, dysregulating calcium homeostasis, oxidative stress, inflammatory responses, and accumulating advanced glycation end products. Unstable glycemic status can lead to more severe neurological impairment than persistent hyperglycemia. Slow-digested or resistant carbohydrates might contribute to better neurocognitive functions due to stable glycemic response and healthier gut functions than fully gelatinized starch and nutritive sugars.
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Affiliation(s)
- Jian Yin
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (J.Y.); (Y.H.); (Z.L.); (C.L.); (X.B.); (L.Z.)
| | - Li Cheng
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (J.Y.); (Y.H.); (Z.L.); (C.L.); (X.B.); (L.Z.)
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi 214122, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China
| | - Yan Hong
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (J.Y.); (Y.H.); (Z.L.); (C.L.); (X.B.); (L.Z.)
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi 214122, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China
| | - Zhaofeng Li
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (J.Y.); (Y.H.); (Z.L.); (C.L.); (X.B.); (L.Z.)
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi 214122, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China
| | - Caiming Li
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (J.Y.); (Y.H.); (Z.L.); (C.L.); (X.B.); (L.Z.)
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi 214122, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China
| | - Xiaofeng Ban
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (J.Y.); (Y.H.); (Z.L.); (C.L.); (X.B.); (L.Z.)
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi 214122, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China
| | - Ling Zhu
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (J.Y.); (Y.H.); (Z.L.); (C.L.); (X.B.); (L.Z.)
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi 214122, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China
| | - Zhengbiao Gu
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China; (J.Y.); (Y.H.); (Z.L.); (C.L.); (X.B.); (L.Z.)
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi 214122, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China
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Duan H, Li J, Yu L, Fan L. The road ahead of dietary restriction on anti-aging: focusing on personalized nutrition. Crit Rev Food Sci Nutr 2022; 64:891-908. [PMID: 35950606 DOI: 10.1080/10408398.2022.2110034] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Dietary restriction (DR), including caloric restriction (CR), intermittent fasting (IF), and restriction of specific food compositions, can delay aging, and the main mechanisms include regulation of nutrient-sensing pathways and gut microbiota. However, the effects of DR regimens on longevity remain controversial, as some studies have demonstrated that IF, rather than CR or diet composition, influences longevity, while other studies have shown that the restricted-carbohydrate or -protein diets, rather than CR, determine health and longevity. Many factors, including DR-related factors (carbohydrate or protein composition, degree and duration of DR), and individual differences (health status, sex, genotype, and age of starting DR), would be used to explain the controversial anti-aging effects of DR, thus highlighting the necessity of precise DR intervention for anti-aging. Personalized DR intervention in humans is challenging because of the lack of accurate aging molecular biomarkers and vast individual variability. Using machine learning to build a predictive model based on the data set of clinical features, gut microbiome and metabolome, may be a good method to achieve precise DR intervention. Therefore, this review analyzed the anti-aging effects of various DR regimens, summarized their mechanisms and influencing factors, and proposed a future research direction for achieving personalized DR regimens for slowing aging.
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Affiliation(s)
- Hui Duan
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China
- School of Food Science and Technology, Jiangnan University, Wuxi, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, China
| | - Jinwei Li
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China
- School of Food Science and Technology, Jiangnan University, Wuxi, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, China
| | - Leilei Yu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China
- School of Food Science and Technology, Jiangnan University, Wuxi, China
- International Joint Research Laboratory for Probiotics at, Jiangnan University, Wuxi, China
| | - Liuping Fan
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China
- School of Food Science and Technology, Jiangnan University, Wuxi, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, China
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