The potential Role of CYP2D6*10(c.100 C>T) Gene Polymorphism in Kidney Injury of Patients with Hypertension Complicated with Non-Elevated Cystatin C-Reference-Cited by-同舟云学术

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The potential Role of CYP2D6*10(c.100 C>T) Gene Polymorphism in Kidney Injury of Patients with Hypertension Complicated with Non-Elevated Cystatin C

Published:2024-06-12 Issue:8 Volume:24 Page:836-841
ISSN:1530-7905
Container-title:Cardiovascular Toxicology
language:en
Short-container-title:Cardiovasc Toxicol

Author:

Jiang Yufeng,Wang Kuangyi,Mei Xiaofei,Zhou Yafeng

Funder

Medical research project of Jiangsu Provincial Health Commission

Biomedical translational medicine innovation and applied research project

Project of Suzhou Science and Technology Development Program

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12012-024-09880-3.pdf

Reference23 articles.

1. Schutte, A. E., Srinivasapura Venkateshmurthy, N., Mohan, S., & Prabhakaran, D. (2021). Hypertension in low- and middle-income countries. Circulation Research, 128, 808–826.

2. Vijayan, A., Abdel-Rahman, E. M., Liu, K. D., Goldstein, S. L., Agarwal, A., Okusa, M. D., Cerda, J., & Committee, A. N. S. (2021). Recovery after critical illness and acute kidney injury. Clinical Journal of the American Society of Nephrology, 16, 1601–1609.

3. Zou, Y., Zhao, L., Zhang, J., Wang, Y., Wu, Y., Ren, H., Wang, T., Zhang, R., Wang, J., Zhao, Y., Qin, C., Xu, H., Li, L., Chai, Z., Cooper, M. E., Tong, N., & Liu, F. (2022). Development and internal validation of machine learning algorithms for end-stage renal disease risk prediction model of people with type 2 diabetes mellitus and diabetic kidney disease. Renal Failure, 44, 562–570.

4. Pottel, H., Delanaye, P., & Cavalier, E. (2024). Exploring renal function assessment: Creatinine, cystatin c, and estimated glomerular filtration rate focused on the european kidney function consortium equation. Annals of Laboratory Medicine, 44, 135–143.

5. Inker, L. A., Eneanya, N. D., Coresh, J., Tighiouart, H., Wang, D., Sang, Y., Crews, D. C., Doria, A., Estrella, M. M., Froissart, M., Grams, M. E., Greene, T., Grubb, A., Gudnason, V., Gutierrez, O. M., Kalil, R., Karger, A. B., Mauer, M., Navis, G., … C. (2021). New creatinine- and cystatin c-based equations to estimate gfr without race. New England Journal of Medicine, 385, 1737–1749.

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