Literature DB >> 33905879

D-galactose-induced liver aging model: Its underlying mechanisms and potential therapeutic interventions.

Khairunnuur Fairuz Azman1, Afifa Safdar2, Rahimah Zakaria2.   

Abstract

Aging is associated with a variety of morphological and functional changes in the liver. Oxidative stress and inflammation are now widely accepted as the main mechanisms involved in the aging process that may subsequently cause severe injury to mitochondrial DNA which leads to apoptosis. As aging may increase the risks for various liver diseases and plays as an adverse prognostic factor increasing the mortality rate, knowledge regarding the mechanisms of age-related liver susceptibility and the possible therapeutic interventions is imperative. Due to cost and time constraints, a mimetic aging model is generally preferred to naturally aged animals to study the underlying mechanisms of aging liver. The use of D-galactose in aging research is dated back to 1962 and has since been used widely. This review aims to comprehensively summarize the effects of D-galactose-induced aging on the liver and the underlying mechanisms involved. Its potential therapeutic interventions are also discussed. It is hoped that this invaluable information may facilitate researchers in choosing the appropriate aging model and provide a valuable platform for testing potential therapeutic strategies for the prevention and treatment of age-related liver diseases.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Ageing; D-galactose; Liver; Senescence; Therapeutic

Year:  2021        PMID: 33905879     DOI: 10.1016/j.exger.2021.111372

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN: 0531-5565            Impact factor:   4.032


  2 in total

Review 1.  Induction of Accelerated Aging in a Mouse Model.

Authors:  Nanshuo Cai; Yifan Wu; Yan Huang
Journal:  Cells       Date:  2022-04-22       Impact factor: 7.666

Review 2.  Antioxidative potential of Lactobacillus sp. in ameliorating D-galactose-induced aging.

Authors:  Harsh Kumar; Kanchan Bhardwaj; Marian Valko; Suliman Y Alomar; Saleh H Alwasel; Natália Cruz-Martins; Daljeet Singh Dhanjal; Reena Singh; Kamil Kuča; Rachna Verma; Dinesh Kumar
Journal:  Appl Microbiol Biotechnol       Date:  2022-07-04       Impact factor: 5.560

  2 in total

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