GDUFA Research Outcomes
Quantitative Methods & Models
The Generic Drug User Fee Amendments (GDUFA) science and research program facilitates patient access to high-quality generic drugs by advancing research in areas where generic product development has been limited or prevented due to knowledge gaps about the kind of evidence needed to demonstrate that a generic product is the same as its brand name reference listed drug product. Leaders and experts across the generic industry collaborate to establish GDUFA research priorities for the most pressing scientific challenges they face with generic product development. Scientists and clinicians from industry, academia, and the U.S. Food and Drug Administration (FDA) strategically design research in these areas so that the outcomes help to build scientific bridges across the knowledge gaps, thereby facilitating pharmaceutical manufacturers to develop generic drugs that were previously challenging or unfeasible to develop.
A major GDUFA science and research priority is to facilitate the utility of model-integrated evidence (MIE) to support demonstrations of bioequivalence (BE). The advancement of research in this area focuses on developing tools and advancing approaches to integrate complementary in silico (modeling), in vivo, and in vitro evidence in ways that collectively mitigate the risk of failure modes for BE and support a framework for virtual BE studies. For example, while it may not be feasible to adequately characterize the long-term bioavailability of drugs from LAI products using in vivo or in vitro methods alone, it may be feasible to integrate limited in vivo and in vitro data with PBPK models that generate the remaining evidence needed to support a demonstration of BE. This area includes research on the use of MIE to evaluate failure modes for BE and to optimize the design of BE studies.
Outcomes including scientific publications, presentations, and posters arising from GDUFA-funded research in this priority area are available in this section.
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In Vitro Evaluation of Intersubject Variability in Pediatric Intranasal Drug Delivery using Nasal Spray Suspension Products
Esmaeili, Amir; Wilkins, John; Hosseini, Sana; Alfaifi, Ali; Hejazi, Mohammed; Hindle, Michael; Longest, Worth; Schuman, Theodore; Dhapare, Sneha; Kaviratna, Anubhav; Walenga, Ross; Newman, Bryan; Golshahi, Laleh
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Development of Mechanistic In Vitro-In Vivo Extrapolation to Support Bioequivalence Assessment of Long-Acting Injectables
Silva, Daniela A; Le Merdy, Maxime; Alam, Khondoker; Wang, Yan; Bao, Quanying; Malavia, Nilesh; Burgess, Diane; Lukacova, Viera
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CFD-DEM Investigation of the Effects of Aperture Size for a Capsule-based Dry Powder Inhaler
Zhu, Qixuan; Kakhi, Maziar; Jayasundara, Chandana; Walenga, Ross; Behara, Srinivas; Chan, Hak Kim; Yang, Runyu
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Using Mechanistic Modeling Approaches to Support BE Assessments for Oral Products
Wu, Fang; Mousa, Youssef; Jereb, Rebeka; Batchelor, Hannah; Chakraborty, Sumon; Heimbach, Tycho; Stier, Ethan; Kesisoglou, Filippos; Kollipara, Sivacharan; Zhang, Lei; Zhao, Liang
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Antioxidants had No Effects on the In-Vitro Permeability of BCS III Model Drug Substances
Lu, Dongmei; Rege, Bhagwant; Rawlings, Kimberly; Yang, Jingyue; Alam, Khondoker; Bode, C; Zhao, Liang; Faustino, Patrick; Wu, Fang; Shakleya, Diaa; Nickum, Elisa; Li, Bing; Wang, Rong; Stier, Ethan; Miezeiewski, Blair; Patel, Rachana; Boam, Ashley; Lionberger, Robert; Keire, D; Yu, Lawrence
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In Vitro Lipolysis Model to Predict Food Effect of Poorly Water-Soluble Drugs Itraconazole, Rivaroxaban, and Ritonavir
Patel, Roshni P; Cristofoletti, Rodrigo; Wu, Fang; Al Shoyaib, Abdullah
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Relative Performance of Volume of Distribution Prediction Methods for Lipophilic Drugs with Uncertainty in LogP Value
Coutinho, Ana; Cristofoletti, Rodrigo; Wu, Fang; Al Shoyaib, Abdullah; Dressman, Jennifer; Polli, James E
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Development of an In Vitro Method for In Vivo Prediction of Regional Deposition of Nasal Powders
Holtgrewe, Nicholas; Walenga, Ross; Bielski, Elizabeth; Guo, C
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Nasal Steroid Spray Simulations Using Measured Spray Characteristics in Healthy and Rhinitic Nasal Passages
Kimbell, J S; Garcia, G J M; Schroeter, J D; Sheth, P; Vallorz-III, E L; Saluja, B; Babiskin, A H; Tian, G; Walenga, R L
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Regulatory Utility of Physiologically Based Pharmacokinetic Modeling for Assessing Food Impact in Bioequivalence Studies: A Workshop Summary Report
Al Shoyaib, Abdullah; Riedmaier, Arian Emami; Kumar, Anita; Roy, Partha; Parrott, Neil; Fang, Lanyan; Tampal, Nilufer; Yang, Yuching; Jereb, Rebeka; Zhao, Liang; Wu, Fang