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Cited by 399

The DOI matches its Crossref record; 1,195 of the 1,195 references it cites were found in a registry or an index.

Energy metabolism in health and diseases

Open access
Liu, Hui, Wang, Shuo, Wang, Jianhua, Guo, Xin, Song, Yujing, Fu, Kun, Gao, Zhenjie, Liu, Danfeng, He, Wei, Yang, Lei-Lei·2025·Signal Transduction and Targeted Therapy

Abstract

Energy metabolism is indispensable for sustaining physiological functions in living organisms and assumes a pivotal role across physiological and pathological conditions. This review provides an extensive overview of advancements in energy metabolism research, elucidating critical pathways such as glycolysis, oxidative phosphorylation, fatty acid metabolism, and amino acid metabolism, along with their intricate regulatory mechanisms. The homeostatic balance of these processes is crucial; however, in pathological states such as neurodegenerative diseases, autoimmune disorders, and cancer, extensive metabolic reprogramming occurs, resulting in impaired glucose metabolism and mitochondrial dysfunction, which accelerate disease progression. Recent investigations into key regulatory pathways, including mechanistic target of rapamycin, sirtuins, and adenosine monophosphate-activated protein kinase, have considerably deepened our understanding of metabolic dysregulation and opened new avenues for therapeutic innovation. Emerging technologies, such as fluorescent probes, nano-biomaterials, and metabolomic analyses, promise substantial improvements in diagnostic precision. This review critically examines recent advancements and ongoing challenges in metabolism research, emphasizing its potential for precision diagnostics and personalized therapeutic interventions. Future studies should prioritize unraveling the regulatory mechanisms of energy metabolism and the dynamics of intercellular energy interactions. Integrating cutting-edge gene-editing technologies and multi-omics approaches, the development of multi-target pharmaceuticals in synergy with existing therapies such as immunotherapy and dietary interventions could enhance therapeutic efficacy. Personalized metabolic analysis is indispensable for crafting tailored treatment protocols, ultimately providing more accurate medical solutions for patients. This review aims to deepen the understanding and improve the application of energy metabolism to drive innovative diagnostic and therapeutic strategies.

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Crossref · 10.1038/s41392-025-02141-x

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Metadata

Authors
Liu, H., Wang, S., Wang, J., Guo, X., Song, Y., Fu, K., Gao, Z., Liu, D., He, W., & Yang, L.-L.
Venue
Signal Transduction and Targeted Therapy
Published
2025-02-18
Volume
10
Issue
1
Pages
69-69
ISSN
2059-3635 (ISSN-L)
OpenAlex
W4407711657
Cited by
399
References
1,195
FWCI
101.48
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Energy metabolism in health and diseases. https://app.cochat.ai/papers/10.1038/s41392-025-02141-x
The paper
Liu, H., Wang, S., Wang, J., Guo, X., Song, Y., Fu, K., Gao, Z., Liu, D., He, W., & Yang, L.-L. (2025). Energy metabolism in health and diseases. Signal Transduction and Targeted Therapy. https://doi.org/10.1038/s41392-025-02141-x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.