代谢重编程与肾脏纤维化:中医药能发挥什么作用?

IF 5.3 3区 医学 Q1 INTEGRATIVE & COMPLEMENTARY MEDICINE Chinese Medicine Pub Date : 2024-10-28 DOI:10.1186/s13020-024-01004-x
Weili Wang, Rong Dai, Meng Cheng, Yizhen Chen, Yilin Gao, Xin Hong, Wei Zhang, Yiping Wang, Lei Zhang
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引用次数: 0

摘要

代谢重编程是一个关键的生物过程,在这一过程中,细胞代谢模式发生改变,以满足细胞生长和增殖增加对能量的需求。在这篇综述中,我们探讨了代谢重编程及其对纤维化疾病的影响,详细概述了参与肾纤维化代谢重编程的关键过程,包括脂肪酸分解和合成、糖酵解和氨基酸分解。此外,我们还报告了中药通过调节代谢过程改善慢性肾脏病的肾脏炎症、氧化应激和细胞凋亡,从而抑制肾脏纤维化。此外,我们还揭示了多种靶点和信号通路对中药代谢调节作用的贡献。综上所述,本综述旨在阐明中药通过重塑肾细胞代谢过程抑制肾纤维化的机制,以期发现治疗肾纤维化的新药。
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Metabolic reprogramming and renal fibrosis: what role might Chinese medicine play?

Metabolic reprogramming is a pivotal biological process in which cellular metabolic patterns change to meet the energy demands of increased cell growth and proliferation. In this review, we explore metabolic reprogramming and its impact on fibrotic diseases, providing a detailed overview of the key processes involved in the metabolic reprogramming of renal fibrosis, including fatty acid decomposition and synthesis, glycolysis, and amino acid catabolism. In addition, we report that Chinese medicine ameliorates renal inflammation, oxidative stress, and apoptosis in chronic kidney disease by regulating metabolic processes, thereby inhibiting renal fibrosis. Furthermore, we reveal that multiple targets and signaling pathways contribute to the metabolic regulatory effects of Chinese medicine. In summary, this review aims to elucidate the mechanisms by which Chinese medicine inhibits renal fibrosis through the remodeling of renal cell metabolic processes, with the goal of discovering new therapeutic drugs for treating renal fibrosis.

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来源期刊
Chinese Medicine
Chinese Medicine INTEGRATIVE & COMPLEMENTARY MEDICINE-PHARMACOLOGY & PHARMACY
CiteScore
7.90
自引率
4.10%
发文量
133
审稿时长
31 weeks
期刊介绍: Chinese Medicine is an open access, online journal publishing evidence-based, scientifically justified, and ethical research into all aspects of Chinese medicine. Areas of interest include recent advances in herbal medicine, clinical nutrition, clinical diagnosis, acupuncture, pharmaceutics, biomedical sciences, epidemiology, education, informatics, sociology, and psychology that are relevant and significant to Chinese medicine. Examples of research approaches include biomedical experimentation, high-throughput technology, clinical trials, systematic reviews, meta-analysis, sampled surveys, simulation, data curation, statistics, omics, translational medicine, and integrative methodologies. Chinese Medicine is a credible channel to communicate unbiased scientific data, information, and knowledge in Chinese medicine among researchers, clinicians, academics, and students in Chinese medicine and other scientific disciplines of medicine.
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