Acute kidney injury and energy metabolism

Mingkang Zhang1, Yanrong Ma2, Yongwen Jin3

  • 1School of Pharmacy, Lanzhou University, Lanzhou 730000, China; Engineering Research Centre of Prevention and Control for Clinical Medication Risk, Gansu Province, China.

Insights

Acute kidney injury (AKI) is a major health concern with high mortality. This review highlights the role of fatty acid and carnitine metabolism in AKI, suggesting potential early diagnostic biomarkers.

Area of Science:

  • Nephrology
  • Biochemistry
  • Cellular Metabolism

Background:

  • Acute kidney injury (AKI) is a prevalent and serious condition, especially in hospitalized patients, with high morbidity and mortality.
  • Current diagnostic markers for AKI are often delayed and insensitive, necessitating the search for early detection methods.
  • The proximal tubular epithelial cells are critical in AKI pathogenesis and rely heavily on fatty acid oxidation for energy.

Purpose of the Study:

  • To review current knowledge on acute kidney injury (AKI), including its causes, mechanisms, and classification.
  • To emphasize the role of fatty acid and carnitine metabolism in the development and progression of AKI.
  • To explore potential early diagnostic biomarkers for AKI based on metabolic pathways.

Main Methods:

  • Literature review of existing studies on AKI.
  • Analysis of the role of cellular metabolism, specifically fatty acid oxidation and carnitine transport, in kidney injury.
  • Synthesis of information on traditional and novel biomarkers for AKI.

Main Results:

  • AKI is triggered by factors like cardiovascular disease, surgery, nephrotoxic drugs, and sepsis.
  • Acylcarnitines are vital for transporting fatty acids into mitochondria for energy production, a process disrupted in AKI.
  • Metabolic dysfunction in proximal tubular cells is central to AKI.

Conclusions:

  • There is an urgent need for effective treatments and early diagnostic tools for AKI.
  • Dysregulation of fatty acid and carnitine metabolism presents a promising area for identifying novel early biomarkers of AKI.
  • Understanding these metabolic pathways can guide future research for AKI diagnosis and therapy.

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