摘要
衰老是一个复杂的多因素过程,虽然普遍存在,但尚未完全了解。众所周知,老龄化对健康的影响受性别、种族、收入、教育等多种因素的影响,年龄相关疾病与人的变老方式密切相关。生物衰老的知识及其与实足年龄的比较是预测代谢下降和与年龄相关疾病发作的重要因素。由于在整个人类有机体中观察到的衰老过程在某种程度上反映了每种细胞类型中发生的情况,因此可以使用细胞系(如成纤维细胞)研究衰老过程。细胞系(即成纤维细胞)的代谢组学分析为个性化或综合医学提供输入;事实上,细胞代谢组学是一个新兴领域,它使用现代“组学”技术(如 FTIR、NMR 或 MS)解决基本的生物学和代谢问题。本文修正了使用成纤维细胞作为细胞模型研究衰老代谢组的相关性。
关键词: 老化、成纤维细胞、代谢组、FTIR、MS、NMR。
Current Molecular Medicine
Title:Study Aging by Fibroblasts Metabolome
Volume: 21 Issue: 4
关键词: 老化、成纤维细胞、代谢组、FTIR、MS、NMR。
摘要:
Aging is a complex multifactorial process that, although universal, is not fully understood. It is known that the impact of aging on health is influenced by multiple factors, such as sex, race, income, and education, and that age-related diseases are strongly associated with the way people get old. The knowledge of biological aging and its comparison to the chronological age is a paramount contributor to predict the metabolic decline and the onset of age-related diseases.
As aging processes observed in the whole human organism are somehow the reflection of what happens in each cell type, it is possible to study the aging process using cell lines, such as fibroblasts.
Metabolomics analysis of cell lines, namely fibroblasts, gives inputs to personalized or integrative medicine; in fact, cell metabolomics is an emerging field that addresses fundamental biological and metabolic questions using modern "omic" techniques as FTIR, NMR or MS.
This paper revises the relevance of using fibroblasts as cell models to study the metabolome of aging.
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Cite this article as:
Study Aging by Fibroblasts Metabolome, Current Molecular Medicine 2021; 21 (4) . https://dx.doi.org/10.2174/1566524020999200831120852
DOI https://dx.doi.org/10.2174/1566524020999200831120852 |
Print ISSN 1566-5240 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5666 |
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