多组学视角下的衰老研究
Aging Research from a Multi-Omics Perspective
DOI: 10.12677/acm.2024.1441083, PDF,    国家自然科学基金支持
作者: 闫 荣*, 唐聪敏, 邢艳秋#:山东大学齐鲁医院老年医学科,山东 济南
关键词: 衰老基因组学转录组学蛋白组学代谢组学多组学Aging Genomics Transcriptomics Proteomics Metabolomics Multi-Omics
摘要: 衰老是生命过程中的一个自然而不可逆转的现象,随着时间推移,生物体的生理功能会逐渐下降,影响到细胞、组织、器官,乃至整个生物体。衰老与多种疾病的发生有着密切的联系,如癌症、心血管疾病、糖尿病、肌少症、阿尔兹海默症等。随着全球人口老龄化的趋势,理解衰老机制、延缓相关病变、提升老年人的健康水平变得尤为重要。衰老研究已从早期的观察性和描述性研究,进展到深入探讨分子和细胞层面的机制研究。近年来,随着分子生物学、遗传学和生物信息学的发展,衰老研究进入了一个新时代,科学家们发现了多个与衰老密切相关的基因、蛋白、代谢物及信号通路,进一步丰富了我们对衰老机制的理解。目前,衰老研究的焦点逐渐转向系统生物学和多组学数据的集成分析,旨在全面理解衰老的复杂本质。随着科技的不断进步和研究方法的创新,未来有望揭示更多关于延缓衰老、提升健康水平的知识和策略,为增强人类健康带来希望。
Abstract: Aging is a natural and irreversible phenomenon in the life process, with physiological functions of organisms gradually declining over time, affecting cells, tissues, organs, and the entire organism. Aging is closely linked to the occurrence of various diseases, such as cancer, cardiovascular diseases, diabetes, sarcopenia, and Alzheimer’s disease. With the global trend of an aging population, understanding the mechanisms of aging, delaying related pathological changes, and improving the health levels of the elderly have become particularly important. Research on aging has progressed from early observational and descriptive studies to in-depth investigations into the mechanisms at the molecular and cellular levels. In recent years, with the development of molecular biology, genetics, and bioinformatics, aging research has entered a new era. Scientists have discovered numerous genes, proteins, metabolites, and signaling pathways closely related to aging, further enriching our understanding of the mechanisms of aging. Currently, the focus of aging research is gradually shifting towards systems biology and the integrative analysis of multi-omics data, aiming to fully understand the complex nature of aging. With continuous technological advancements and innovative research methods, the future holds the promise of revealing more knowledge and strategies for delaying aging and enhancing health levels, bringing hope for improving human health.
文章引用:闫荣, 唐聪敏, 邢艳秋. 多组学视角下的衰老研究 [J]. 临床医学进展, 2024, 14(4): 731-737. https://doi.org/10.12677/acm.2024.1441083

参考文献

[1] 林德颖, 蔡时青. 衰老机制和衰老干预研究的近期进展和前景展望[J]. 中国医学前沿杂志(电子版), 2023, 15(10): 26-27.
[2] Kudryashova, K.S., Burka, K., Kulaga, A.Y., Vorobyeva, N.S. and Kennedy, B.K. (2020) Aging Biomarkers: From Functional Tests to Multi-Omics Approaches. Proteomics, 20, E1900408. [Google Scholar] [CrossRef] [PubMed]
[3] Gomes, A.P., Ilter, D., Low, V., Endress, J.E., Fernández-García, J., Rosenzweig, A., et al. (2020) Age-Induced Accumulation of Methylmalonic Acid Promotes Tumour Progression. Nature, 585, 283-287. [Google Scholar] [CrossRef] [PubMed]
[4] Tabibzadeh, S. (2021) Signaling Pathways and Effectors of Aging. Frontiers in Bioscience (Landmark Ed), 26, 50-96. [Google Scholar] [CrossRef] [PubMed]
[5] López-Otín, C., Blasco, M.A., Partridge, L., Serrano, M. and Kroemer, G. (2023) Hallmarks of Aging: An Expanding Universe. Cell, 186, 243-278. [Google Scholar] [CrossRef] [PubMed]
[6] Francis, R.C. (2011) Epigenetics: The Ultimate Mystery of Inheritance. W. W. Norton & Company, New York.
[7] Rosoff, D.B., Mavromatis, L.A., Bell, A.S., Wagner, J., Jung, J., Marioni, R.E., et al. (2023) Multivariate Genome-Wide Analysis of Aging-Related Traits Identifies Novel Loci and New Drug Targets for Healthy Aging. Nature Aging, 3, 1020-1035. [Google Scholar] [CrossRef] [PubMed]
[8] Zhang, W., Qu, J., Liu, G.-H. and Belmonte, J.C.I. (2020) The Ageing Epigenome and Its Rejuvenation. Nature Reviews Molecular Cell Biology, 21, 137-150. [Google Scholar] [CrossRef] [PubMed]
[9] Hannum, G., Guinney, J., Zhao, L., Zhang, L., Hughes, G., Sadda, S., et al. (2013) Genome-Wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates. Molecular Cell, 49, 359-367. [Google Scholar] [CrossRef] [PubMed]
[10] Horvath, S. (2013) DNA Methylation Age of Human Tissues and Cell Types. Genome Biology, 14, R115. [Google Scholar] [CrossRef] [PubMed]
[11] Benayoun, B.A., Pollina, E.A. and Brunet, A. (2015) Epigenetic Regulation of Ageing: Linking Environmental Inputs to Genomic Stability. Nature Reviews Molecular Cell Biology, 16, 593-610. [Google Scholar] [CrossRef] [PubMed]
[12] Day, K., Waite, L.L., Thalacker-Mercer, A., West, A., Bamman, M.M., Brooks, J.D., et al. (2013) Differential DNA Methylation with Age Displays both Common and Dynamic Features across Human Tissues That Are Influenced by CpG Landscape. Genome Biology, 14, R102. [Google Scholar] [CrossRef] [PubMed]
[13] Greer, E.L. and Shi, Y. (2012) Histone Methylation: A Dynamic Mark in Health, Disease and Inheritance. Nature Reviews Genetics, 13, 343-357. [Google Scholar] [CrossRef] [PubMed]
[14] Zhang, B., Long, Q., Wu, S., Xu, Q., Song, S., Han, L., et al. (2021) KDM4 Orchestrates Epigenomic Remodeling of Senescent Cells and Potentiates the Senescence-Associated Secretory Phenotype. Nature Aging, 1, 454-472. [Google Scholar] [CrossRef] [PubMed]
[15] Lu, J.Y., Simon, M., Zhao, Y., Ablaeva, J., Corson, N., Choi, Y., et al. (2022) Comparative Transcriptomics Reveals Circadian and Pluripotency Networks as Two Pillars of Longevity Regulation. Cell Metabolism, 34, 836-856.E5. [Google Scholar] [CrossRef] [PubMed]
[16] Zou, Z., Long, X., Zhao, Q., Zheng, Y., Song, M., Ma, S., et al. (2021) A Single-Cell Transcriptomic Atlas of Human Skin Aging. Developmental Cell, 56, 383-397.E8. [Google Scholar] [CrossRef] [PubMed]
[17] The Tabula Muris Consortium (2020) A Single-Cell Transcriptomic Atlas Characterizes Ageing Tissues in the Mouse. Nature, 583, 590-595.
[18] Gyenis, A., Chang, J., Demmers, J., Bruens, S.T., Barnhoorn, S., Brandt, R.M.C., et al. (2023) Genome-Wide RNA Polymerase Stalling Shapes the Transcriptome during Aging. Nature Genetics, 55, 268-279. [Google Scholar] [CrossRef] [PubMed]
[19] Wasinger, V.C., Cordwell, S.J., Cerpa-Poljak, A., Yan, J.X., Gooley, A.A., Wilkins, M.R., et al. (1995) Progress with Gene-Product Mapping of the Mollicutes: Mycoplasma Genitalium. Electrophoresis, 16, 1090-1094. [Google Scholar] [CrossRef] [PubMed]
[20] Sebastiani, P., Federico, A., Morris, M., Gurinovich, A., Tanaka, T., Chandler, K.B., et al. (2021) Protein Signatures of Centenarians and Their Offspring Suggest Centenarians Age Slower than Other Humans. Aging Cell, 20, E13290. [Google Scholar] [CrossRef] [PubMed]
[21] Liu, X., Pan, S., Xanthakis, V., Vasan, R.S., Psaty, B.M., Austin, T.R., et al. (2022) Plasma Proteomic Signature of Decline in Gait Speed and Grip Strength. Aging Cell, 21, E13736. [Google Scholar] [CrossRef] [PubMed]
[22] Iijima, H., Gilmer, G., Wang, K., Bean, A.C., He, Y., Lin, H., et al. (2023) Age-Related Matrix Stiffening Epigenetically Regulates α-Klotho Expression and Compromises Chondrocyte Integrity. Nature Communications, 14, Article No. 18. [Google Scholar] [CrossRef] [PubMed]
[23] Wang, L., Cai, J., Zhao, X., Ma, L., Zeng, P., Zhou, L., et al. (2023) Palmitoylation Prevents Sustained Inflammation by Limiting NLRP3 Inflammasome Activation through Chaperone-Mediated Autophagy. Molecular Cell, 83, 281-297.E10. [Google Scholar] [CrossRef] [PubMed]
[24] Yang, S., Jin, S., Xian, H., Zhao, Z., Wang, L., Wu, Y., et al. (2023) Metabolic Enzyme UAP1 Mediates IRF3 Pyrophosphorylation to Facilitate Innate Immune Response. Molecular Cell, 83, 298-313.E8. [Google Scholar] [CrossRef] [PubMed]
[25] Koyuncu, S., Loureiro, R., Lee, H.J., Wagle, P., Krueger, M. and Vilchez, D. (2021) Rewiring of the Ubiquitinated Proteome Determines Ageing in C. elegans. Nature, 596, 285-290. [Google Scholar] [CrossRef] [PubMed]
[26] Li, C.J., Xiao, Y., Sun, Y.C., He, W.Z., Liu, L., Huang, M., et al. (2021) Senescent Immune Cells Release Grancalcin to Promote Skeletal Aging. Cell Metabolism, 33, 1957-1973.E6. [Google Scholar] [CrossRef] [PubMed]
[27] Lin, T., Yang, W.Q., Luo, W.W., Zhang, L.L., Mai, Y.Q., Li, Z.Q., et al. (2022) Disturbance of Fatty Acid Metabolism Promoted Vascular Endothelial Cell Senescence via Acetyl-CoA-Induced Protein Acetylation Modification. Oxidative Medicine and Cellular Longevity, 2022, Article ID: 1198607. [Google Scholar] [CrossRef] [PubMed]
[28] Yu, Z., Zhai, G., Singmann, P., He, Y., Xu, T., Prehn, C., et al. (2012) Human Serum Metabolic Profiles Are Age Dependent. Aging Cell, 11, 960-967. [Google Scholar] [CrossRef] [PubMed]
[29] Panyard, D.J., Yu, B. and Snyder, M.P. (2022) The Metabolomics of Human Aging: Advances, Challenges, and Opportunities. Science Advances, 8, Eadd6155. [Google Scholar] [CrossRef] [PubMed]
[30] Menni, C., Kastenmüller, G., Petersen, A.K., Bell, J.T., Psatha, M., Tsai, P.C., et al. (2013) Metabolomic Markers Reveal Novel Pathways of Ageing and Early Development in Human Populations. International Journal of Epidemiology, 42, 1111-1119. [Google Scholar] [CrossRef] [PubMed]
[31] Ding, J., Ji, J., Rabow, Z., Shen, T., Folz, J., Brydges, C.R., et al. (2021) A Metabolome Atlas of the Aging Mouse Brain. Nature Communications, 12, Article No. 6021. [Google Scholar] [CrossRef] [PubMed]
[32] Castro, A., Signini, É.F., De Oliveira, J.M., Di Medeiros Leal, M.C.B., Rehder-Santos, P., Millan-Mattos, J.C., et al. (2022) The Aging Process: A Metabolomics Perspective. Molecules, 27, Article No. 8656. [Google Scholar] [CrossRef] [PubMed]
[33] Srivastava, S. (2019) Emerging Insights into the Metabolic Alterations in Aging Using Metabolomics. Metabolites, 9, Article No. 301. [Google Scholar] [CrossRef] [PubMed]
[34] Houtkooper, R.H., Argmann, C., Houten, S.M., Cantó, C., Jeninga, E.H., Andreux, P.A., et al. (2011) The Metabolic Footprint of Aging in Mice. Scientific Reports, 1, Article No. 134. [Google Scholar] [CrossRef] [PubMed]
[35] Benjamin, D.I., Brett, J.O., Both, P., Benjamin, J.S., Ishak, H.L., Kang, J., et al. (2023) Multiomics Reveals Glutathione Metabolism as a Driver of Bimodality during Stem Cell Aging. Cell Metabolism, 35, 472-486.E6. [Google Scholar] [CrossRef] [PubMed]
[36] Li, J., Xiong, M., Fu, X.H., Fan, Y., Dong, C., Sun, X., et al. (2023) Determining a Multimodal Aging Clock in a Cohort of Chinese Women. Med, 4, 825-848.E13. [Google Scholar] [CrossRef] [PubMed]
[37] Wu, L., Xie, X., Liang, T., Ma, J., Yang, L., Yang, J., et al. (2021) Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets. Biomolecules, 12, Article No. 39. [Google Scholar] [CrossRef] [PubMed]