2021
DOI: 10.3390/biom11020235
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Tissue-Specific Landscape of Metabolic Dysregulation during Ageing

Abstract: The dysregulation of cellular metabolism is a hallmark of ageing. To understand the metabolic changes that occur as a consequence of the ageing process and to find biomarkers for age-related diseases, we conducted metabolomic analyses of the brain, heart, kidney, liver, lung and spleen in young (9–10 weeks) and old (96–104 weeks) wild-type mice [mixed genetic background of 129/J and C57BL/6] using NMR spectroscopy. We found differences in the metabolic fingerprints of all tissues and distinguished several meta… Show more

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Cited by 39 publications
(41 citation statements)
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“…Citric acid and lysine are biomarkers of aging across tissues. Combined with our previous results in brain, heart, kidney, liver, lung, and spleen [20], we identified tyrosine as a global biomarker of aging, as it was systematically changed in seven different tissues. This study provides a general overview of the altered metabolic profiles of various metabolically active tissues in aging and highlights potential biomarkers associated with this process.…”
Section: Introductionsupporting
confidence: 65%
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“…Citric acid and lysine are biomarkers of aging across tissues. Combined with our previous results in brain, heart, kidney, liver, lung, and spleen [20], we identified tyrosine as a global biomarker of aging, as it was systematically changed in seven different tissues. This study provides a general overview of the altered metabolic profiles of various metabolically active tissues in aging and highlights potential biomarkers associated with this process.…”
Section: Introductionsupporting
confidence: 65%
“…Life span is considered to be closely linked to energy metabolism [19]. However, systematic studies investigating the changes in metabolites in different energy metabolism-related organs and tissues during aging and how the body controls them as a whole are still scarce [20,21]. Therefore, we aimed to perform such a systematic study, addressing the metabolome of tissues involved in energy metabolism to identify potential biomarkers of aging.…”
Section: Introductionmentioning
confidence: 99%
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“…Metabolomics has proven to be a powerful tool to establish age-related metabolic signatures in humans [ 16 ] and mice [ 17 ]. This is because the presence and relative abundance of certain metabolites can serve as diagnostic indicators (biomarkers).…”
Section: Introductionmentioning
confidence: 99%
“…The underlying pathology includes, but is not limited to, neuronal loss in both the hippocampal and temporal regions, neurofibrillary tangles, vascular degeneration, and amyloid-beta plaque formation [ 70 ]. Metabolic dysregulation underlies all three diseases and the impact of this dysregulation increases with age, elucidating the categorization of these diseases to include geriatric syndrome [ 72 ]. The SAMP8 mouse model commonly used for ARHL is also used in contexts of diabetes and dementia due to the ubiquitous involvement of cellular senescence in all three pathologies [ 73 , 74 , 75 ].…”
Section: Age-related Hearing Lossmentioning
confidence: 99%