Elucidating the time-dependent changes in the urinary metabolome under doxorubicin-induced nephrotoxicity
Aiping Li1, Wangning Zhang1, Lichao Zhang2
1Modern Research Center for Traditional Chinese Medicine of Shanxi University, Taiyuan 030006, Shanxi, China.
Abstract:
Doxorubicin has been indicated to be cardiotoxic and nephrotoxic, and thus it is often used as a model drug. Possible molecular mechanisms of this toxicity have been proposed, however, the systematic investigation of time-related metabolic trajectories specific to renal toxicity has rarely been reported. The present study was designed to assess time-dependent changes in doxorubicin-induced nephropathy through urinary metabolomics and to reveal the molecular mechanism based on key pathways. Urinary metabolomics revealed that the 14th day was the critical time point for model construction. Pathway analysis results showed that 5 pathways with impact (>0.1), FDR (<0.1) and p value (<0.05) were important. Furthermore, three pathways, including butanoate metabolism, alanine, aspartate and glutamate metabolism and arginine and proline metabolism, were focused on and validated by partial least squares regression analysis (PLS-RA) and molecular docking techniques. Our findings also showed that robust metabolomics combined with PLS-RA and molecular docking techniques is promising for elucidating time-dependent changes due to doxorubicin toxicity and for clarifying mechanisms, and the results provide a research foundation for the construction of a nephropathy model.
Insights
Doxorubicin causes kidney damage, and this study identifies the 14th day as critical for modeling this nephrotoxicity. Metabolomics revealed key metabolic pathways involved in doxorubicin-induced renal toxicity.
Area of Science:
- Biochemistry
- Toxicology
- Metabolomics
Background:
- Doxorubicin is a known cardiotoxic and nephrotoxic drug, frequently used as a model compound.
- Systematic investigation of time-dependent metabolic changes in doxorubicin-induced nephrotoxicity is limited.
Purpose of the Study:
- To assess time-dependent alterations in doxorubicin-induced nephropathy using urinary metabolomics.
- To elucidate the molecular mechanisms underlying doxorubicin-induced renal toxicity.
Main Methods:
- Urinary metabolomics was employed to analyze time-dependent changes.
- Pathway analysis identified key metabolic pathways.
- Partial least squares regression analysis (PLS-RA) and molecular docking were used for validation.
Main Results:
- The 14th day was identified as a critical time point for constructing the nephropathy model.
- Five pathways were found to be significantly altered (impact >0.1, FDR <0.1, p <0.05).
- Butanoate metabolism, alanine/aspartate/glutamate metabolism, and arginine/proline metabolism were highlighted and validated.
Conclusions:
- Urinary metabolomics combined with PLS-RA and molecular docking effectively elucidates time-dependent doxorubicin toxicity mechanisms.
- This study provides a foundation for developing accurate nephropathy models.
- The findings offer insights into the molecular basis of doxorubicin-induced kidney damage.
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