Urinary amino acids patterns enlighten new predictive models for extensive renal proximal tubular injuries and kidney function

Xiaoxiao Shi, Yuan Dong, Wei Luo, Zuoxian Hou, Peng Xia, Wenling Ye, Ling Qiu, Limeng Chen

Open source

DOI
10.1515/jtim-2026-0049
Published
2026-10-01
Container
Journal of Translational Internal Medicine
Publisher
Walter de Gruyter GmbH
Open access
unknown

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BibTeX

@article{allodium:10.1515/jtim-2026-0049,
  title = {Urinary amino acids patterns enlighten new predictive models for extensive renal proximal tubular injuries and kidney function},
  author = {Xiaoxiao Shi and Yuan Dong and Wei Luo and Zuoxian Hou and Peng Xia and Wenling Ye and Ling Qiu and Limeng Chen},
  year = {2026},
  journal = {Journal of Translational Internal Medicine},
  doi = {10.1515/jtim-2026-0049},
  url = {https://doi.org/10.1515/jtim-2026-0049}
}

RIS

TY  - JOUR
TI  - Urinary amino acids patterns enlighten new predictive models for extensive renal proximal tubular injuries and kidney function
AU  - Xiaoxiao Shi
AU  - Yuan Dong
AU  - Wei Luo
AU  - Zuoxian Hou
AU  - Peng Xia
AU  - Wenling Ye
AU  - Ling Qiu
AU  - Limeng Chen
PY  - 2026
JO  - Journal of Translational Internal Medicine
DO  - 10.1515/jtim-2026-0049
UR  - https://doi.org/10.1515/jtim-2026-0049
ER  - 

APA

Shi, X., Dong, Y., Luo, W., Hou, Z., Xia, P., Ye, W., Qiu, L., & Chen, L. (2026). Urinary amino acids patterns enlighten new predictive models for extensive renal proximal tubular injuries and kidney function. Journal of Translational Internal Medicine. https://doi.org/10.1515/jtim-2026-0049

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