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Aging and Aging-Related Diseases

Overview of attention for book
Attention for Chapter 4: Epigenetic Regulation of Vascular Aging and Age-Related Vascular Diseases
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Chapter title
Epigenetic Regulation of Vascular Aging and Age-Related Vascular Diseases
Chapter number 4
Book title
Aging and Aging-Related Diseases
Published in
Advances in experimental medicine and biology, January 2018
DOI 10.1007/978-981-13-1117-8_4
Pubmed ID
Book ISBNs
978-9-81-131116-1, 978-9-81-131117-8
Authors

Yang-Nan Ding, Xiaoqiang Tang, Hou-Zao Chen, De-Pei Liu, Ding, Yang-Nan, Tang, Xiaoqiang, Chen, Hou-Zao, Liu, De-Pei

Abstract

Vascular aging refers to the structural and functional defects that occur in the aorta during the aging process and is characterized by increased vascular cell senescence, vascular dyshomeostasis, and vascular remodeling. Vascular aging is a major risk factor for vascular diseases. However, the current understanding of the biological process of vascular aging and age-related diseases is insufficient. Epigenetic regulation can influence gene expression independently of the gene sequence and mainly includes DNA methylation, histone modifications, and RNA-based gene regulation. Epigenetic regulation plays important roles in many physiological and pathophysiological processes and may explain some gaps in our knowledge regarding the interaction between genes and diseases. In this review, we summarize recent advances in the understanding of the epigenetic regulation of vascular aging and age-related diseases in terms of vascular cell senescence, vascular dyshomeostasis, and vascular remodeling. Moreover, the possibility of targeting epigenetic regulation to delay vascular aging and treat age-related vascular diseases is also discussed.

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Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Student > Master 3 13%
Student > Ph. D. Student 2 8%
Student > Postgraduate 2 8%
Professor 2 8%
Other 1 4%
Unknown 10 42%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 21%
Medicine and Dentistry 3 13%
Nursing and Health Professions 2 8%
Agricultural and Biological Sciences 1 4%
Neuroscience 1 4%
Other 0 0%
Unknown 12 50%