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SHR Neuro Krebs Kardio Lipid Stoffw Microb

Zhou, Q; Kerbl-Knapp, J; Zhang, F; Korbelius, M; Kuentzel, KB; Vujić, N; Akhmetshina, A; Hörl, G; Paar, M; Steyrer, E; Kratky, D; Madl, T.
Metabolomic Profiles of Mouse Tissues Reveal an Interplay between Aging and Energy Metabolism.
Metabolites. 2021; 12(1): Doi: 10.3390/metabo12010017 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG

 

Führende Autor*innen der Med Uni Graz
Kerbl-Knapp Jakob
Madl Tobias
Zhou Qishun
Co-Autor*innen der Med Uni Graz
Akhmetshina Alena
Hörl Gerd
Korbelius Melanie
Kratky Dagmar
Küntzel Katharina Barbara
Paar Margret
Steyrer Ernst
Vujic Nemanja
Zhang Fangrong
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Abstract:
Energy metabolism, including alterations in energy intake and expenditure, is closely related to aging and longevity. Metabolomics studies have recently unraveled changes in metabolite composition in plasma and tissues during aging and have provided critical information to elucidate the molecular basis of the aging process. However, the metabolic changes in tissues responsible for food intake and lipid storage have remained unexplored. In this study, we aimed to investigate aging-related metabolic alterations in these tissues. To fill this gap, we employed NMR-based metabolomics in several tissues, including different parts of the intestine (duodenum, jejunum, ileum) and brown/white adipose tissues (BAT, WAT), of young (9-10 weeks) and old (96-104 weeks) wild-type (mixed genetic background of 129/J and C57BL/6) mice. We, further, included plasma and skeletal muscle of the same mice to verify previous results. Strikingly, we found that duodenum, jejunum, ileum, and WAT do not metabolically age. In contrast, plasma, skeletal muscle, and BAT show a strong metabolic aging phenotype. Overall, we provide first insights into the metabolic changes of tissues essential for nutrient uptake and lipid storage and have identified biomarkers for metabolites that could be further explored, to study the molecular mechanisms of aging.

Find related publications in this database (Keywords)
aging
NMR spectroscopy
mice
energy metabolism
fat
intestine
metabolomics
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