Metabolism of Polyamines and Kidney Disease: A Promising Therapeutic Target
Background: More than 850 million people worldwide suffer from acute and chronic kidney diseases (CKD) which are tremendous socioeconomic burdens for society. Currently, the treatment choices for CKD are limited. There is a great need to understand the underlying mechanisms of the development of CKD in order to develop potential therapeutic strategies. Summary: The alteration in cellular metabolism has emerged as an important common pathological mechanism in different kidney diseases. Metabolic intervening and reprogramming will yield new insights to prevent and slow the progression of kidney disease. As one essential component of cellular metabolisms in fuel-source preferences (glucose, fatty acids, or ketones), the polyamine compound metabolism comprising the metabolites (spermine, spermidine, and putrescine) and their biosynthetic and catabolic enzymes are an endogenous pathophysiological regulator that is arising as a potential therapeutic object for many diseases. Key Messages: This article aimed to review current knowledge on polyamine metabolism and physiological processes, and its potential regulatory and beneficial roles in immunoregulation, mitochondrial homeostasis, autophagy, DNA damage, and kidney diseases, and thus provide a novel therapeutic opportunity for kidney diseases.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Metabolism of Polyamines and Kidney Disease: A Promising Therapeutic Target ; volume:9 ; number:6 ; year:2023 ; pages:469-484 ; extent:16
Kidney diseases ; 9, Heft 6 (2023), 469-484 (gesamt 16)
- Creator
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Luo, Dan
Lu, Xiaohui
Li, Yi
Xu, Yiping
Zhou, Yi
Mao, Haiping
- DOI
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10.1159/000533296
- URN
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urn:nbn:de:101:1-2023122023240743018120
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:30 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Luo, Dan
- Lu, Xiaohui
- Li, Yi
- Xu, Yiping
- Zhou, Yi
- Mao, Haiping
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