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Plasma Carboxylesterase 1 Predicts Methylphenidate Exposure: A Proof-of-Concept Study Using Plasma Protein Biomarker for Hepatic Drug Metabolism.

Clinical pharmacology and therapeutics

Shi J, Xiao J, Wang X, Jung SM, Bleske BE, Markowitz JS, Patrick KS, Zhu HJ.
PMID: 34743324
Clin Pharmacol Ther. 2021 Nov 07; doi: 10.1002/cpt.2486. Epub 2021 Nov 07.

Hepatic drug-metabolizing enzymes (DMEs) play critical roles in determining the pharmacokinetics and pharmacodynamics of numerous therapeutic agents. As such, noninvasive biomarkers capable of predicting DME expression in the liver have the potential to be used to personalize pharmacotherapy and...

Cite
Shi J, Xiao J, Wang X, et al. Plasma Carboxylesterase 1 Predicts Methylphenidate Exposure: A Proof-of-Concept Study Using Plasma Protein Biomarker for Hepatic Drug Metabolism. Clin Pharmacol Ther. 2021;doi: 10.1002/cpt.2486.
Shi, J., Xiao, J., Wang, X., Jung, S. M., Bleske, B. E., Markowitz, J. S., Patrick, K. S., & Zhu, H. J. (2021). Plasma Carboxylesterase 1 Predicts Methylphenidate Exposure: A Proof-of-Concept Study Using Plasma Protein Biomarker for Hepatic Drug Metabolism. Clinical pharmacology and therapeutics, . https://doi.org/10.1002/cpt.2486
Shi, Jian, et al. "Plasma Carboxylesterase 1 Predicts Methylphenidate Exposure: A Proof-of-Concept Study Using Plasma Protein Biomarker for Hepatic Drug Metabolism." Clinical pharmacology and therapeutics vol. (2021). doi: https://doi.org/10.1002/cpt.2486
Shi J, Xiao J, Wang X, Jung SM, Bleske BE, Markowitz JS, Patrick KS, Zhu HJ. Plasma Carboxylesterase 1 Predicts Methylphenidate Exposure: A Proof-of-Concept Study Using Plasma Protein Biomarker for Hepatic Drug Metabolism. Clin Pharmacol Ther. 2021 Nov 07; doi: 10.1002/cpt.2486. Epub 2021 Nov 07. PMID: 34743324.
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Genome-wide pQTL analysis of protein expression regulatory networks in the human liver.

BMC biology

He B, Shi J, Wang X, Jiang H, Zhu HJ.
PMID: 32778093
BMC Biol. 2020 Aug 10;18(1):97. doi: 10.1186/s12915-020-00830-3.

BACKGROUND: Previous expression quantitative trait loci (eQTL) studies have identified thousands of genetic variants to be associated with gene expression at the mRNA level in the human liver. However, protein expression often correlates poorly with mRNA levels. Thus, protein...

Cite
He B, Shi J, Wang X, et al. Genome-wide pQTL analysis of protein expression regulatory networks in the human liver. BMC Biol. 2020;18(1):97doi: 10.1186/s12915-020-00830-3.
He, B., Shi, J., Wang, X., Jiang, H., & Zhu, H. J. (2020). Genome-wide pQTL analysis of protein expression regulatory networks in the human liver. BMC biology, 18(1), 97. https://doi.org/10.1186/s12915-020-00830-3
He, Bing, et al. "Genome-wide pQTL analysis of protein expression regulatory networks in the human liver." BMC biology vol. 18,1 (2020): 97. doi: https://doi.org/10.1186/s12915-020-00830-3
He B, Shi J, Wang X, Jiang H, Zhu HJ. Genome-wide pQTL analysis of protein expression regulatory networks in the human liver. BMC Biol. 2020 Aug 10;18(1):97. doi: 10.1186/s12915-020-00830-3. PMID: 32778093; PMCID: PMC7418398.
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