Tacrolimus in the treatment of childhood nephrotic syndrome: Machine learning detects novel biomarkers and predicts efficacy-Reference-Cited by-同舟云学术

Tacrolimus in the treatment of childhood nephrotic syndrome: Machine learning detects novel biomarkers and predicts efficacy

Published:2022-12-31 Issue:1 Volume:43 Page:43-52
ISSN:0277-0008
Container-title:Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy
language:en
Short-container-title:Pharmacotherapy

Author:

Mo Xiaolan¹²,Chen Xiujuan³,Zeng Huasong⁴,Zheng Wei¹,Ieong Chifong²,Li Huixian³,Huang Qiongbo¹,Xu Zichuan⁴,Yang Jinlian¹,Liang Qianying¹,Liang Huiying³,Gao Xia⁴,Huang Min²,Li Jiali²

Affiliation:

1. Department of Pharmacy, Guangzhou Women and Children's Medical Center Guangzhou Medical University Guangzhou China

2. Institute of Clinical Pharmacology, School of Pharmaceutical Sciences Sun Yat‐sen University Guangzhou China

3. Department of Medical Big Data Center, Guangdong Provincial People's Hospital Guangdong Academy of Medical Sciences Guangzhou China

4. Division of Nephrology, Guangzhou Women and Children's Medical Center Guangzhou Medical University Guangzhou China

Funder

Natural Science Foundation of Guangdong Province

Traditional Chinese Medicine Bureau of Guangdong Province

Publisher

Wiley

Subject

Pharmacology (medical)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/phar.2749

Reference44 articles.

1. Comparative Clinical Pharmacokinetics of Tacrolimus in Paediatric and Adult Patients

2. Tacrolimus in steroid resistant and steroid dependent childhood nephrotic syndrome;Supavekin S;J Med Assoc Thai,2013

3. Tacrolimus in steroid-resistant and steroid-dependent nephrotic syndrome

4. Efficacy and safety of tacrolimus and low-dose prednisone in Chinese children with steroid-resistant nephrotic syndrome

5. Effect of CYP3 A4, CYP3 A5 and ABCB1 gene polymorphisms on the clinical efficacy of tacrolimus in the treatment of nephrotic syndrome

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