Acute nephrotoxicity of aristolochic acid in vitro: metabolomics study for intracellular metabolic time-course

Xiaoyan Liu1,2, Yanqiu Liu3, Mengchun Cheng1

  • 1a Key Laboratory of Separation Science for Analytical Chemistry, Da Lian Institute of Chemical Physics, Chinese Academy of Science , Dalian , China .

Insights

This study identified 11 potential biomarkers for aristolochic acid nephrotoxicity (AAN) using a time-course HK-2 cell model. These findings offer insights into metabolic pathways involved in AAN progression for clinical applications.

Area of Science:

  • Nephrology
  • Metabolomics
  • Toxicology

Background:

  • Aristolochic acid nephrotoxicity (AAN) is a serious kidney condition.
  • Understanding the time-course of metabolic changes in AAN is crucial for identifying effective biomarkers.
  • Existing models for studying AAN progression require further refinement.

Purpose of the Study:

  • To investigate the dynamic metabolic alterations in an acute aristolochic acid nephrotoxicity (AAN) HK-2 cell model.
  • To identify and validate potential AAN-related biomarkers through time-course analysis.
  • To explore the metabolic pathways implicated in AAN pathology.

Main Methods:

  • Establishment of an acute aristolochic acid nephrotoxicity (AAN) HK-2 cell model.
  • Time-course analysis of metabolic changes.
  • Multivariate statistical methods for biomarker selection and validation.

Main Results:

  • Identification and validation of 11 potential biomarkers associated with aristolochic acid nephrotoxicity (AAN).
  • Association of several metabolic pathways, including vitamin metabolism, lipid metabolism, tryptophan metabolism, and protein degradation, with AAN.
  • Demonstration of dynamic metabolic shifts during the progression of AAN.

Conclusions:

  • The identified biomarkers and metabolic pathways provide a valuable reference for understanding aristolochic acid nephrotoxicity (AAN).
  • This research contributes to the potential discovery of novel biomarkers for AAN progression in clinical settings.
  • The study highlights the utility of time-course metabolomics in investigating toxicological mechanisms.

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