regulatory science at the us food and drug …...regulatory science at the us food and drug...
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Regulatory Science at the US Food and Drug Administration: Enhancing SCIENCE-based
regulation of medical products
Carolyn A. Wilson, Ph.D. Associate Director for Research
Center for Biologics Evaluation and Research
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My comments are an informal
communication and represent my own best judgment.
These comments do not bind or
obligate FDA.
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FDA’s Regulatory Scope: 25 cents of every GDP dollar
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Using Science and Regulation to Advance Medical Product Development
www.fda.gov
Regulatory Challenge Public Health
Novel Product
Regulatory Science Discovery
New Tools Regulatory Policy/Decision
Licensed Product
Improved Data – Benefit/Risk
Post-market Surveillance
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FDA’s Regulatory Science • Product Centers oversee and conduct
intramural laboratory and non-lab (i.e., epidemiology and biostatistics) research
• Office of the Commissioner and Office of the Chief Scientist: – Coordination/communication via working
groups – Intramural funding programs – Extramural funding programs
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FDA Regulatory Science: Regulatory Product Center Programs
Commissioner
Office of Foods and Veterinary
Medicine
ORA
CFSAN
CVM
Office of Medical
Products and Tobacco
CBER
CDER
CDRH
CTP
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2016 CBER Goals Regulatory Science and Research
Goal 1. Advance the scientific basis for regulation of biologics, human tissues and blood to enhance safety, effectiveness, quality and consistency through development and evaluation of new concepts, methods, models, and reagents.
Goal 2. Develop and assess nonclinical models and methods with improved predictive value, and, as feasible, reduce, refine, or replace the use of animals, for evaluation of safety and effectiveness of CBER-regulated products.
Goal 3. Improve clinical evaluation related to CBER-regulated products through the use of new biomarkers, large scientific and healthcare datasets, and innovative design and analysis of clinical studies by applying new statistical, epidemiological, and mathematical modeling approaches, and considering patient input to inform benefit-risk assessment of general and special populations.
Goal 4. Prepare for future regulatory and public health challenges through investments in emerging science and technology, and develop and sustain varied scientific expertise.
www.fda.gov
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What about Zika Virus?
Initial focus: protect the blood supply:
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Zika and Protecting the Blood Supply….
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CBER: Mesenchymal Stem Cells Consortium
Sponsors have used some of CBER’s published methods to characterize their products; data provided in INDs
• Objective: Develop ways to identify quality attributes that predict safety and effectiveness.
• Outcomes – Demonstrated that Consensus MSC Markers do not
Correlate with Functional Heterogeneity • Donor or Tissue Culture Age Differences
– Developed assays to identify and qualify predictive product characteristics for cell therapy products – Published findings
PCBM1632
1108
77
1676
96
PCBM1641
PCBM1662
8F35
60
1277
56
PCBM1655
0
2
4
6
8
10
12
14
16
Passage 3Passage 5Passage 7
% Ni
le R
ed P
ositi
ve
Lo Surdo JL et al., Cytotherapy, 2013.
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MSC Consortium Publications
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• Differentiation – Quantitative Approaches to Detect Donor and Passage Differences in Adipogenic Potential and
Clonogenicity in Human Bone Marrow-Derived Mesenchymal Stem Cells. 2012. Lo Surdo, JL, and Bauer, SR. Tissue Engineering: Part C 18: 877-889.
– Automated Microscopy as a Quantitative Method to Measure Differences in Adipogenic Differentiation in Preparations of Human Mesenchymal Stem Cells. 2013. Lo Surdo, JL, Millis, B. and Bauer, SR: Cytotherapy. 2013 15: 1527-40
• Proteomics – Improved proteomic profiling of the cell surface of culture-expanded human bone marrow
multipotent stromal cells. 2013. Samuel T. Mindaye, Moonjin Ra, Jessica Lo Surdo, Steven R. Bauer, Michail A. Alterman. J Proteomics 78: 1-14.
– Global proteomic signature of undifferentiated human bone marrow stromal cells: Evidence for donor-to-donor proteome heterogeneity. Mindaye, ST, Ra, M, . Lo Surdo, JL, Bauer, SR, and Alterman, MA. 2013.. Stem Cell Research 11: 793-805
– System-wide survey of proteomic responses of human bone marrow stromal cells (hBMSCs) to in vitro cultivation. Mindaye, ST, Lo Surdo, JL, Bauer, SR, and Alterman, MA. 2015. Stem Cell Research in press
• Immunomodulation – Assessment of immunosuppressive activity of human mesenchymal stem cells using murine antigen
specific CD4 and CD8 T cells in vitro. 2013. Nazarov, C., Lo Surdo, J.L., Bauer, S.R., Wei, C-H. Stem Cell Research & Therapy 4:128.
• Genomics – Gene markers of cellular aging in human multipotent stromal cells in culture. 2014. Ian H Bellayr,
Jennifer G Catalano, Samir Lababidi, Amy X Yang, Jessica L Lo Surdo, Steven R Bauer and Raj K Puri. Stem Cell Research & Therapy, 5:59
• Epigenetics – Chromatin Changes at the PPAR-g2 Promoter During Bone Marrow-Derived Multipotent Stromal Cell
Culture Correlate With Loss of Gene Activation Potential. Lynch, PJ, Thompson, EE, McGinnis, K, Rovira-Gonzalez, YI, Lo Surdo, JL, Bauer, SR, Hursh, DA. Stem Cells 33: 2169-2181.
• Sector Overview – MSC-based product characterization for clinical trials: An FDA Perspective. 2014. Mendicino, M,
Bailey, AM, Wonnacott, K, Puri, RK., and Bauer, S.R. Cell Stem Cell 14:141-145
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12 www.fda.gov 12
Improve Access to Post-market Data Sources and Explore Feasibility of Their Use in Different Types of Analyses
Improve Risk Assessment and Management Strategies to Reinforce the Safe Use of Drugs
Evaluate the Effectiveness and Impact of Different Types of Regulatory Communications to the Public and other Stakeholders
Evaluate the Links among Product Quality Attributes, Manufacturing processes, and Product Performance
Develop and Improve Predictive Models of Safety and Efficacy in Humans
Improve Clinical Trial Design, Analysis, and Conduct
Enhance Individualization of Patient Treatment
I
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VII
http://www.fda.gov/Drugs/ScienceResearch/ucm264327.htm
CDER: 7 Regulatory Science Topics
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Supporting evaluation of biosimilars: Analytical technologies to evaluate recombinant proteins 2D-NMR analysis of the higher-order structure of filgrastim (G-CSF, biosimilar for Neupogen): approval of this first biosimilar in 2015 • Originator product, Neupogen, and three unapproved drug
products evaluated at four labs on 6 instruments • Same analytical software applied to all data • Sufficient resolution to obtain high degree of similarity with
quantitative analysis revealing shifts tracking to variations in temperature, pH/ionic strength of solvent, or change in higher order structure.
Ghasriani, Houman, et al. "Precision and robustness of 2D-NMR for structure assessment of filgrastim biosimilars." Nature Biotechnology 2016 http://www.fda.gov/newsevents/newsroom/pressannouncements/ucm436648.htm
www.fda.gov
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FDA Regulatory Science: OC Programs
OC
Office of the Chief Scientist
Office of Counter-Terrorism and
Emerging Threats
National Center for Toxicological
Research
Office of Regulatory Science
and Innovation Office of Women’s
Health
Office of Minority Health
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15 www.fda.gov
National Center for Toxicological Research:
Supporting Multi-Agency Tox21 FDA’s Modernizing Toxicology
• Develop better models of human adverse response • Identify and evaluate biomarkers and endpoints that can be
used in non-clinical and clinical evaluations • Use and develop computational methods and in silico
modeling
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Predictive Pharmacology in silico* QSAR (Quantitative Structure Activity Relationship)
• 50 years - Traditional drug discovery tool
• Based on classical (large body) mechanics
• Regression/classification outcomes based on measurement of 2D and 3D structural/reactive chemical descriptors.
• E.g. EDKB
QSDAR (Quantitative Spectral Activity Relationship)
• QSDAR patent 2004 3D QSDAR* patent 2011
• Based on quantum (very small body) mechanics; e.g. NMR chemical shift data
• Partial least squares and discriminant analysis of experimental or in silico generated NMR data
• E.g. PLD and hERG binding *incorporates inter-atomic distance
www.fda.gov
Bioimaging: Replace?
* "All models are wrong but some are useful“ George Box 1978
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020406080100120140160PPM
13C-NMR
122.
23
157.
1215
9.15
15N-NMR
-85.
90
NN
• 15N- and 13C NMR 3D-QSDAR
• NCATS experimental PLD testing (n=1070; acc=83%), used a HepG2 cell line while the hERG assay (n=1385; acc=86%) used U-2 OS viral transduced cells
• Tendency 3D-QSDAR to predict false positives/ No tendency to predict false negatives
PLD n=1070 hERG n=1385
Experimental Validation Of the hERG and PLD 3D-QSDAR in silico Model
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Office of Regulatory Science and Innovation
• Oversees two major extramural programs in regulatory science: – Broad Agency Announcement http://www.fda.gov/ScienceResearch/SpecialTopics/RegulatoryScience/ucm301667.htm – Centers of Excellence in Regulatory Science (CERSI) http://www.fda.gov/ScienceResearch/SpecialTopics/RegulatoryScience/ucm301667.htm
• University of Maryland • Georgetown University • Johns Hopkins University • UCSF/Stanford • Yale/Mayo
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Objective: Develop an anatomical and functional population model of the musculoskeletal system to facilitate virtual clinical trials
Collaboration with Dr. Thor Besier, Auckland Bioengineering Institute and CDRH
Overview and Outcomes: • Open source software enables users to visualize the
musculoskeletal system; create computational models of anatomical structures based on patient data.
• Database enables access to raw medical image data, motion capture and muscle performance data gathered in the international Physiome Project. Includes pelvis, femur, tibia, fibula and patella.
• Users query database for similarities and differences in range of anatomical data.
BAA example: The Musculoskeletal Atlas Project (MAP)
https://simtk.org/home/map
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CERSI Program Joint efforts between FDA and academic institutions to collaborate on projects that promote regulatory science, including innovative research, education, and scientific exchange under a cooperative agreement grant (U01).
Address scientific challenges arising from new medical product development and regulatory activities
Collaboration with academic partners on research that supports FDA’s regulatory mission & improves public health.
Support training needs for FDA, new scientists, & scientific community.
Enhance extramural partnerships and expand scientific exchanges.
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CERSI Example: Eliciting Patient Preferences to Enhance
Regulatory Science Research Project
Objective • Advance and apply stated preferences among people with
type 2 diabetes Overview & Outcomes • National survey assessed priorities for diabetes self
management and treatment preferences • Collaborated with patient organizations to create patient-
centered studies for lung cancer, acute myeloid leukemia and Duchenne muscular dystrophy
• Direct impacts of patient organizations – pilot results from collaboration with Leukemia and Lymphoma Society to be presented at FDA patient preference meeting
www.fda.gov
Johns Hopkins University
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FDA Regulatory Science: OC Programs
OC
Office of the Chief Scientist
Office of Counter-Terrorism and
Emerging Threats
National Center for Toxicological
Research
Office of Regulatory Science
and Innovation Office of Women’s
Health
Office of Minority Health
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Medical Countermeasures Initiative Regulatory Science Program • Established in 2010 under the Medical Countermeasure
Initiative (MCMi) to support intramural and extramural research
• Priority research areas – Identifying, developing, and qualifying drug development
tools (e.g., animal models, biomarkers) – Developing methods to assess product quality and related
product release assays – Validating next-generation in vitro diagnostics platforms – Assessing the performance of emergency medical equipment – Enhancing emergency preparedness and response
capabilities, including risk communication and tracking and evaluating the safety and clinical benefit of MCMs used during public health emergencies
www.fda.gov/medicalcountermeasures
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MCMi extramural regulatory science example: Cross-Species Immune System Reference Garry Nolan, Stanford University
Objective: Conduct a comprehensive cross-species analysis of immune system function to inform the choice of appropriate models for MCM development Overview & Outcomes • Universal antibody panels for humans, macaques, African green
monkeys, and mice • Exposed blood from humans, three species of non-human primates, and
mice to cytokines, viral and bacterial antigens, or receptor ligands; analysis via CyTOF mass cytometry
• Species- and gender-specific differences in immune response, the effect of anesthesia on NHP immune function and blood chemistry, and macaque-specific sensitivity to bacterial threat agent
• Open access cross-species immune response database: http://immuneatlas.org
www.fda.gov/medicalcountermeasures
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361 Projects
17 Disease Areas
31% Sex Differences
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FDA Office of Women’s Health Established 1994
www.fda.gov/womenshealthresearch Obias-Manno et al. The Food and Drug Administration Office of Women’s Health: Impact of science on regulatory policy. J Women’s Health 2007;16(6):807-817. Elahi et al. The Food and Drug Administration Office of Women’s Health: Impact of Science on Regulatory Policy: An Update. J Women's Health 2016; 25(3):222-234.
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OWH-funded research has contributed to FDA policy and advanced knowledge of SEX DIFFERENCES IN HEART DISEASE
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OWH-FUNDED RESEARCH, Example Higher Risk for Drug-Induced Arrhythmias for Women Investigator: David Strauss – FDA CDER
• Between 1991 and 2003, 6 drugs were withdrawn from marketing in the US because of Torsade de Pointes (TdP) tachycardia
• Women are at higher risk
• Project assessed the ability of novel ECG biomarker strategies to differentiate benign from malignant drugs that prolong the QT and sex difference in QTc prolongation
• Regulatory Impact: Understanding the mechanisms of QTc prolongation and determining if drug-induced abnormal heart rhythms may be prevented by combining drugs will ensure safety of approved drugs for women and men.
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Vision: A world where health equity is a reality for all Mission: The Office of Minority Health advances FDA’s regulatory mission in addressing the reduction of racial and ethnic health disparities and in achieving the highest standard of health for all.
Goal 1- To improve and strengthen regulatory science informing the research and evaluation of sub-population data associations with race and ethnicity.
Goal 2- To strengthen FDA capacity to address minority health and health disparities across the Agency.
Goal 3- To promote effective communication and the dissemination of information to the public, particularly underserved, vulnerable populations.
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FDA Office of Minority Health March 2010 Affordable Care Act- Section 10334 mandated creation of OMH across all HHS divisions
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Research and Collaboration Strategies
• Intramural Challenge Grants • Intramural ORISE Fellows • Extramural ORISE Fellows
Support/Fund Research Projects
• FDA Centers for Excellence in Regulatory Science and Innovation Program
• 2015 Genomics and Health Disparities Lecture Series with the National Human Genome Research Institute (NHGRI)
Collaborations
• OMH Speaker Series • CDER Scientific Seminars • Pharmacy Intern Program • Institute of Medicine Roundtable on Promotion of Heath
Equity and the Elimination of Health Disparities • Part 15 Hearings/CERSI Workshop
Training/Workshops
FDA Office of Minority Health
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30 Beaver 30
Project: Improving Health Literacy and Cultural Competency in Current FDA Risk Communication PI: Olivia Carter-Pokras, PhD Objective: Evaluate how health information is relayed by examining health literacy and cultural competency of Food and Drug Administration (FDA) consumer materials on HIV/AIDS and Hepatitis B/C Outcomes: • Majority of pages scored at the college or graduate reading level (>12). • Epidemiology of population health and health care disparities are key
components of cultural competency training for health professionals • Although many websites contain data and statistics, statistics presented
are not representative of the intended audience and material is not useful • Publication: Health Literacy and Cultural Competency of FDA Consumer
Materials
FDA Office of Minority Health, Example
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Summary Science-based regulation is improved when
FDA engages in research proactively and reactively to address critical knowledge
gaps that reduce uncertainty in regulatory decision-making.
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With Thanks
• Robert Fisher, OCET, OCS • York Tomita, Khaled Bouri, Shaila Shaheed, ORSI • Martin Mendoza, OMH • Emmanuel Fadiran, OWH • Steve Bauer, Maria Rios, CBER • Ruth Barratt, CDER • Tom Flammang, NCTR