Jiaying Liu

Dr. Jiaying Liu

orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 April 2025 in Journal of Controlled Release
Verified
Journal Article
Closed access
JLJiaying Liu
Jiaying Liu
ZXZiwan Xu
Ziwan Xu
DWDi Wu
Di Wu
ALAndrew Leithead
Andrew Leithead
AJAshley R. Johnson
Ashley R. Johnson
SBStephanie E. Barrett
Stephanie E. Barrett

20 October 2023 in Organic Process Research & Development
Verified
Journal Article
Closed access
RBRachel Bade
Rachel Bade
JBJameson R. Bothe
Jameson R. Bothe
ESEric Sirota
Eric Sirota
ABAndrew P. J. Brunskill
Andrew P. J. Brunskill
JNJustin A. Newman
Justin A. Newman
TMTariq Mahmood
Tariq Mahmood

3 May 2024 in Drug Metabolism Reviews
Verified
Journal Article
Closed access
DWDi Wu
Di Wu
JLJiaying Liu
Jiaying Liu
EPErickson M. Paragas
Erickson M. Paragas
JYJaydeep Yadav
Jaydeep Yadav
TATheresa Aliwarga
Theresa Aliwarga
MEM. Sebastian Escotet-Espinoza
M. Sebastian Escotet-Espinoza
PH-mediated drug-drug interactions (DDI) is a prevalent DDI in drug development, especially for weak base compounds with highly pH-dependent solubility. FDA has released a guidance on the evaluation of pH-mediated DDI assessments using in vitro testing and clinical studies. Currently, there is no common practice of ways of testing across the academia and industry. The development of biopredictive method and physiologically-based biopharmaceutics modeling (PBBM) approaches to assess acid-reducing agent (ARA)-DDI have been proven with accurate prediction and could decrease drug development burden, inform clinical design and potentially waive clinical studies. Formulation strategies and careful clinical design could help mitigate the pH-mediated DDI to avoid more clinical studies and label restrictions, ultimately benefiting the patient. In this review paper, a detailed introduction on biorelevant dissolution testing, preclinical and clinical study requirement and PBPK modeling approaches to assess ARA-DDI are described. An improved decision tree for pH-mediated DDI is proposed. Potential mitigations including clinical or formulation strategies are discussed.

7 April 2026 in Pharmaceutics
Verified
Journal Article
Open access
PDF file
YHYijing Huang
Yijing Huang
CPChanakya Deepak Patil
Chanakya Deepak Patil
KAKinnari Arte
Kinnari Arte
JLJiaying Liu
Jiaying Liu
HNHaichen Nie
Haichen Nie
LQLi Lily Qu
Li Lily Qu
Subcutaneous administration has become an increasingly important route for delivering protein therapeutics, driven by patient convenience and the growing use of self-administration devices. However, conventional subcutaneous injection systems are typically limited to injection volumes of approximately 1–2 mL, posing significant formulation challenges for protein drugs requiring high therapeutic doses. Monoclonal antibodies (mAbs), for example, often require concentrations exceeding 100 mg/mL to enable subcutaneous delivery, which introduces challenges related to limited solubility, elevated viscosity, and an increased risk of physical and chemical instability. Therefore, high-concentration protein suspensions have emerged as a promising formulation strategy to overcome these limitations and enable subcutaneous administration of high-dose proteins. In such systems, therapeutic protein solid particles are suspended in vehicles in which they are insoluble, giving rise to unique considerations related to particle properties, protein stability, and suspension behaviors such as viscosity, injectability, and sedimentation. Accordingly, multiple particle production approaches have been explored to enable the development of ultra-high-concentration protein suspensions (>200 mg/mL). This review article aims to provide a comprehensive overview of particle formation techniques and the relationships between key particle properties and suspension performance attributes relevant to the development of high-concentration protein suspensions for injectable applications, as well as future directions in this field.

29 May 2025 in Journal of Pharmaceutical Sciences
Verified
Journal Article
Closed access
MGMatthew J. Gunsch
Matthew J. Gunsch
SKSara Koynov
Sara Koynov
DMDevan McCoy
Devan McCoy
MGMario Gutierrez
Mario Gutierrez
TETrent Eastman
Trent Eastman
AHAndre Hermans
Andre Hermans

14 April 2026 in Pharmaceutical Research
Verified
Journal Article
Closed access
PDF file
YHYijing Huang
Yijing Huang
JLJiaying Liu
Jiaying Liu
RQRuomeng Qiu
Ruomeng Qiu
KGKaizhu Guo
Kaizhu Guo
ADAbby Devlin
Abby Devlin
ARAshlesha Raut
Ashlesha Raut