RZRongjun Zuo

Rongjun Zuo

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Rongjun Zuo has a total of 9 co-authors. Here are the top co-authors by number of shared publications:

  • Daochuan Li

    Corning Life Sciences, Bedford, Massachusetts (R.Z., F.L., S.P., L.C., K.L.C.); Corning, Science and Technology, Corning, New York (Y.H., J.L., R.A.F.); and University of Maryland, School of Pharmacy, Baltimore, Maryland (D.L., H.W.).

    1 shared publication
  • Feng Li

    Corning Life Sciences, Bedford, Massachusetts (R.Z., F.L., S.P., L.C., K.L.C.); Corning, Science and Technology, Corning, New York (Y.H., J.L., R.A.F.); and University of Maryland, School of Pharmacy, Baltimore, Maryland (D.L., H.W.).

    1 shared publication
  • Hongbing Wang

    Corning Life Sciences, Bedford, Massachusetts (R.Z., F.L., S.P., L.C., K.L.C.); Corning, Science and Technology, Corning, New York (Y.H., J.L., R.A.F.); and University of Maryland, School of Pharmacy, Baltimore, Maryland (D.L., H.W.).

    1 shared publication
  • Jin Liu

    Corning Life Sciences, Bedford, Massachusetts (R.Z., F.L., S.P., L.C., K.L.C.); Corning, Science and Technology, Corning, New York (Y.H., J.L., R.A.F.); and University of Maryland, School of Pharmacy, Baltimore, Maryland (D.L., H.W.).

    1 shared publication
  • Kirsten L. Cooper

    Corning Life Sciences, Bedford, Massachusetts (R.Z., F.L., S.P., L.C., K.L.C.); Corning, Science and Technology, Corning, New York (Y.H., J.L., R.A.F.); and University of Maryland, School of Pharmacy, Baltimore, Maryland (D.L., H.W.).

    1 shared publication
  • Li Cao

    Corning Life Sciences, Bedford, Massachusetts (R.Z., F.L., S.P., L.C., K.L.C.); Corning, Science and Technology, Corning, New York (Y.H., J.L., R.A.F.); and University of Maryland, School of Pharmacy, Baltimore, Maryland (D.L., H.W.).

    1 shared publication

Latest Publications

  • Open Access

    Evaluation of a Novel Renewable Hepatic Cell Model for Prediction of Clinical CYP3A4 Induction Using a Correlation-Based Relative Induction Score Approach

    by Rongjun Zuo, Feng Li, Sweta Parikh, Li Cao, Kirsten L. Cooper, Yulong Hong, Jin Liu, Ronald A. Faris, Daochuan Li, Hongbing Wang

    Metabolism enzyme induction-mediated drug-drug interactions need to be carefully characterized in vitro for drug candidates to predict in vivo safety risk and therapeutic efficiency. Currently, both the Food and Drug Administration and European Medicines Agency recommend using primary human hepatocytes as the gold standard in vitro test system for studying the induction potential of candidate drugs on cytochrome P450 (CYP), CYP3A4, CYP1A2, and CYP2B6. However, primary human hepatocytes are known to bear inherent limitations such as limited supply and large lot-to-lot variations, which result in an experimental burden to qualify new lots. To overcome these shortcomings, a renewable source of human hepatocytes (i.e., Corning HepatoCells) was developed from primary human hepatocytes and was evaluated for in vitro CYP3A4 induction using methods well established by the pharmaceutical industry. HepatoCells have shown mature hepatocyte-like morphology and demonstrated primary hepatocyte-like response to prototypical inducers of all three CYP enzymes with excellent consistency. Importantly, HepatoCells retain a phenobarbital-responsive nuclear translocation of human constitutive androstane receptor from the cytoplasm, characteristic to primary hepatocytes. To validate HepatoCells as a useful tool to predict potential clinical relevant CYP3A4 induction, we tested three different lots of HepatoCells with a group of clinical strong, moderate/weak CYP3A4 inducers, and noninducers. A relative induction score calibration curve-based approach was used for prediction. HepatoCells showed accurate prediction comparable to primary human hepatocytes. Together, these results demonstrate that Corning HepatoCells is a reliable in vitro model for drug-drug interaction studies during the early phase of drug testing.