Acute kidney injury and energy metabolism

IF 2.9 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Clinica Chimica Acta Pub Date : 2025-03-15 Epub Date: 2025-02-20 DOI:10.1016/j.cca.2025.120208
Mingkang Zhang , Yanrong Ma , Yongwen Jin , Yazhi Wang , Xin’an Wu
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Abstract

Acute kidney injury (AKI) predominantly affects hospitalized patients, particularly those in intensive care units, and has emerged as a significant global public health concern. Several factors, including severe cardiovascular disease, surgery-induced renal ischemia, nephrotoxic drugs, and sepsis, contribute to the development of AKI. Despite the implementation of various clinical strategies to prevent or treat AKI, its morbidity and mortality remain high, and there are no clinically effective therapeutic agents available. The limitations of traditional renal function markers (such as urine output, serum creatinine, and urea nitrogen levels), including their delayed response and insensitivity, underscore the urgent need for novel early biomarkers to facilitate the timely diagnosis of AKI. The proximal tubular epithelial cells in the kidney play a central role in both the onset and progression of AKI. These cells are highly metabolically active and have a substantial energy demand, primarily relying on fatty acid oxidation to meet their energy needs. Acylcarnitines are crucial in transporting fatty acids from the cytoplasm into the mitochondrial matrix for β-oxidation, which generates energy essential for maintaining cellular function and viability. This review aims to summarize the current understanding of AKI, including its triggers, classification, underlying mechanisms, and potential biomarkers. Special emphasis is placed on the role of fatty acid and carnitine metabolism in AKI, with the goal of providing a theoretical foundation for future investigations into AKI mechanisms and the identification of early diagnostic biomarkers.

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急性肾损伤与能量代谢
急性肾损伤(AKI)主要影响住院患者,特别是重症监护病房的患者,已成为一个重大的全球公共卫生问题。严重的心血管疾病、手术引起的肾缺血、肾毒性药物和脓毒症等因素可导致AKI的发生。尽管实施了各种临床策略来预防或治疗AKI,但其发病率和死亡率仍然很高,并且没有临床有效的治疗药物。传统的肾功能标志物(如尿量、血清肌酐和尿素氮水平)的局限性,包括它们的延迟反应和不敏感,强调了迫切需要新的早期生物标志物来促进AKI的及时诊断。肾近端小管上皮细胞在AKI的发生和发展中起核心作用。这些细胞具有高度的代谢活性,有大量的能量需求,主要依靠脂肪酸氧化来满足它们的能量需求。酰基肉碱是将脂肪酸从细胞质转运到线粒体基质中进行β氧化的关键,β氧化产生维持细胞功能和活力所必需的能量。本综述旨在总结目前对AKI的认识,包括其触发因素、分类、潜在机制和潜在的生物标志物。特别强调脂肪酸和肉碱代谢在AKI中的作用,目的是为未来AKI机制的研究和早期诊断生物标志物的鉴定提供理论基础。
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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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