what is behind sequence variation in recombinant ...€¦ · protein therapeutics are increasingly...
TRANSCRIPT
Chava Kimchi-Sarfaty, Ph.D.
Division of Hematology Research and Review Office of Blood Research and Review (OBRR)
Center for Biologics Evaluation and Research (CBER) Food and Drug Administration (FDA)
WCBP, January 2015
What is Behind Sequence Variation in Recombinant Therapeutic Proteins?
The findings and conclusions in this presentation have not been formally disseminated by the Food and Drug
Administration and should not be construed to represent any Agency determination or policy.
Disclaimer
Protein therapeutics – benefits and importance
“Silent mutations” – understanding synonymous mutations and polymorphisms ADAMTS13
Codon optimization – recognizing the advantages of
optimized proteins Factor IX
Summary/Conclusions
Today’s Presentation
Protein therapeutics – benefits and importance
“Silent mutations” – understanding synonymous mutations and polymorphisms ADAMTS13
Codon optimization – recognizing the advantages of
optimized proteins Factor IX
Summary/Conclusions
Today’s Presentation
Bioengineered proteins: Why do we need them?
Most proteins are not good drug-products due to:
• Short serum half-life • Poor bioavailability • Lack of post-translational modifications • Inefficient production
Therapeutic-protein development allows for
engineered improvements in product quality, therapeutic outcomes, patient convenience and manufacturing efficiency.
Protein therapeutics are increasingly important in modern medical practice
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2004 2006 2008 2010 2012
YEAR
FDA
Appr
oval
s (B
iolo
gics
/Sm
all M
olec
ules
) More protein therapeutics are entering into clinical practice Protein-based therapeutics have significantly changed the medical landscape for treating complex diseases and managing unmet medical needs.
Cytokines Interleukin-2 Aldesleukin
(Proleukin®) • -Glycosylation; -N-terminal alanine, S125C AA substitution. • Half-life = 85 minutes.
Interferon beta-1b Interferon beta-1b (Betaseron, EXTAVIA®, Ziferon)
• S17C substitution; -Carbohydrate side chains. • Mean half-life = 8 minutes - 4.3 hours.
Interferon beta-1b Interferon beta-1b (Betaferon®)
• S17C substitution; No Met at position 1; -Carbohydrate moieties. • Levels remained above baseline throughout the seven day (168 hour) study period.
Colony stimulating factors (CSF) G-CSF Filgastrim
(Neupogen®) • -Glycosylation; +N-terminal methionine
Erythropoiesis stimulating agent (ESA) Erythropoietin (EPO)
Darbapoetin alfa (Aranesp®)
• +2 N-linked oligosaccharide chains
Coagulation Factors rFVIII-B domain deleted
rFVIII B domain deleted (Refacto®)
• Deletion results in higher secretion
Bioengineered Proteins with Modified Sequences that have been Approved or are under Development
Hormones
Basal Insulins Glargine (Lantus®)
• D21G substitution at A-chain; +2 Arg residues at C-terminus of B-chain. • Relatively constant concentration over 24 hours with no pronounced peak.
Detemir (Levemir®)
• +C14 fatty acid chain to lysine at B29; Thr residue removed at B30; • Relatively constant serum concentration over 24 hours.
Degludec (Tresiba)
• +C16 fatty acid chain to lysine at B29 via Glu spacer; Thr residue removed at B30 • Ultra long half-life of ~ 40 hours.
Short acting insulins
Lispro (Humalog®)
• P28K and K29P substitutions at B-chain; • Absorbed faster and has a shorter half-life due to lack of hexamer formation.
Aspart (Novorapid®, Novolog®)
• P28D substitution at B-chain. • Faster absorption, onset of action, and shorter duration
Glulysine (Apidra®) • N3K and K29E substitutions in B-chain • More rapid onset of action and shorter activity duration
GLP-1 Analogues
Liraglutide (Victoza®) • R34K substitution; C16 fatty acid addition at position 26 • Half-life of 13 hours (vs. half-life of < 2 minutes of human GLP-1)
Parathyroid hormone (PTH)
Teriparatide (Forteo®) • Truncated PTH 1-34aa instead of 1-84aa identical to human PTH.
Bioengineered Proteins with Modified Sequences that have been Approved or are under Development
All Information Publically Available From: Aldesleukin http://dailymed.nlm.nih.gov/dailymed/drugInfo.cfm?id=37301
Interferon beta-1b http://dailymed.nlm.nih.gov/dailymed/lookup.cfm?setid=261fde67-efb2-4bd7-947e-4f68a56e76ff
Betaferon http://berlex.bayerhealthcare.com/html/products/pi/Betaseron_PI.pdf
EXTAVIA http://www.rxlist.com/extavia-drug.htm
Filgastrim http://pi.amgen.com/united_states/neupogen/neupogen_pi_hcp_english.pdf
Aranesp http://pi.amgen.com/united_states/aranesp/ckd/aranesp_pi_hcp_english.pdf
Refacto http://www.abopharmaceuticals.com/ProductSheets/Refacto.pdf
Lantus http://products.sanofi.ca/en/lantus.pdf
Levemir http://dailymed.nlm.nih.gov/dailymed/archives/fdaDrugInfo.cfm?archiveid=8918
Tresiba
http://druginfo.nlm.nih.gov/drugportal/ProxyServlet?mergeData=true&objectHandle=DBMaint&APPLICATION_NAME=drugportal&actionHandle=default&nextPage=jsp/drugportal/ResultScreen.jsp&TXTSUPERLISTID=0844439969&QV1=INSULIN+DEGLUDEC
Humalog http://pi.lilly.com/us/humalog-pen-pi.pdf
Novorapid http://www.novonordisk.com/images/diabetes/pdf/Novorapid%20Product%20Monograph.pdf
Novolog http://www.fda.gov/ohrms/dockets/ac/06/briefing/2006-4254b_13_04_KP%20InsulinAspartFDAlabel102005.pdf
Apidra http://products.sanofi.ca/en/apidra.pdf
Victoza http://www.rxlist.com/victoza-drug.htm
Forteo http://www.rxlist.com/forteo-drug.htm
TERTIARY STRUCTURE
HETERO-GENEITY
IMMUNO-GENICITY PK/PD BIOACTIVITY AGGREGA-
TION
MUTATIONS
FUSION PROTEINS
CODON OPTIMIZED PROTEINS
MODERATE
HIGH
MODERATE TO HIGH
LOW
HIGH
HIGH
LOW?
MODERATE TO HIGH
LOW?
LOW TO MODERATE
HIGH
LOW
LOW TO MODERATE
HIGH
LOW
LOW TO MODERATE
MODERATE TO HIGH
MODERATE TO HIGH
Risk Assessment of Three Principal Protein-engineering Strategies
Bioengineered proteins: Platform Technologies for Fusion Proteins
PEGylation
Fc-fusion Albumin-fusion
XTEN-fusion
PolyXen-fusion
Rath T et al (2014) Critical. Rev. Biotech.
Bioengineered proteins: An emerging trend
Platform technology Therapeutic areas Products (number)
PEGylation Cytokines, colony stimulating factors, erythropoiesis stimulating agents, hormones, coagulation factors, oncology 23
Fc-fusion Immunosuppressive, anti-angiogenic, coagulation factors, thrombopoietin stimulating factors, enzyme replacement 12
Albumin-fusion Cytokines, colony stimulating factors, coagulation factors, hormones, oncology 6
XTEN-fusion Coagulation factors, hormones, enzyme replacement proteins 10
PolyXen-fusion Cytokines, colony stimulating factors, erythropoiesis stimulating agents, hormones 4
Protein therapeutics – benefits and importance
“Silent mutations” – understanding synonymous mutations and polymorphisms ADAMTS13
Codon optimization – recognizing the advantages of
optimized proteins Factor IX
Summary/Conclusions
Today’s Presentation
AUG AAG UUU GGC
AUG AAG UUU GGU
Met Phe Gly
Met Lys Phe Gly
Lys A synonymous
change
NO change in primary sequence
AUG AAG UUU GGC
AUG AAG UUU GUC
Met Phe Gly
Met Lys Phe Val
Lys A non-synonymous
change
Primary sequence altered
Even synonymous changes in genetic code can affect protein levels and protein conformation,
producing physiological effects
Breaking the silence. Katsnelson. Nature Medicine 17: 1536-1538. 2011
Synonymous Nucleotide Changes are Not Silent
Understanding “Silent” Mutations – 2013 FDA Report
Synonymous mutations can impact critical cis regulatory sequences: • Splice sites, ESEs and ESSs
altered protein primary structure
• microRNA and exonic TF binding sites
altered gene expression
Methods:
IN SILICO: NNSplice, NetGene2, GeneSplicer, Human Splicing Finder, ESEfinder, RESCUE-ESE, FAS-ESS, ESRsearch, ExonScan IN VITRO: RT-PCR, northern blot, mini-gene splicing assay, FISH, RNA oligonucleotide hybridization & pull down, exon-specific RNAi
Kimchi-Sarfaty C. et al.: Trends Pharmacol Sci.34(10):534-48, 2013
Gene Regulation and mRNA Processing
Synonymous mutations can shape local mRNA structure: i. Unstable mRNA easily degraded -> Low protein
expression ii. Very stable 5’ region -> hinders translation initiation ->
Low protein expression
Methods: • IN SILICO: • IN VITRO: RT-PCR, northern blot, mini-gene splicing assay, FISH, RNA
oligonucleotide hybridization & pull down, exon-specific RNAi
Methods:
IN SILICO: mFold, Kinefold, remuRNA, RNAfold
IN VITRO: endoribonuclease footprinting, transcript labeling & transcription inhibition, quantitative real-time PCR, circular dichroism
Edwards N.C., ... Kimchi-Sarfaty C. : PLoS ONE 7;6 e38864, 2012; Salari R., Kimchi-Sarfaty C. et al.: Nucleic Acids Res, 41:44 - 53 , 2013; Hamasaki-Katagiri N., … and Kimchi-Sarfaty C.: JMB, 425: 4023 - 4033, 2013.
mRNA structure
Major influences of translational speed: i. Synonymous codon choices
ii. Positively charged amino acids interacting with negatively charged 50S exit tunnel
iii. mRNA structure
Methods:
IN SILICO: SeqForm, SeqX
IN VITRO: in vitro translation, polysome profiling, ribosome profiling/footprinting, single molecule translocation, optical tweezers, pulse-chase, cycloheximide treatment, enzymatic digestion, circular dichroism, markers of Unfolded Protein Response
Protein Translation Kinetics
- A Disintegrin And Metalloproteinase with a ThromboSpondin type 1 motif, member 13 - metalloprotease enzyme that cleaves von Willebrand Factor (VWF). VWF assists platelet adhesion to wound sites.
Sadler, Blood (2008)
Synonymous Mutations in ADAMTS13
ADAMTS13 SNPs
ADAMTS13:
Tseng, Kimchi-Sarfaty, Pharmacogenomics, 12(8):1147-60, 2011
Hing et al., BJH 160(6):825-37, 2013; Saini ….Kimchi-Sarfaty C. Proteases in Health and Diseases (2013)
• Located at metalloprotease domain surface • Far from the active site • Naturally occurring variant
Characterizing Pro118Pro mutation (P118P, CCG>CCA) and non-synonymous “control” (P118F, CCG>TTC) using ADAMTS13 protein model and in silico tools
Synonymous mutant: Pro118Pro (P118P, CCG>CCA)
Non-synonymous control: Pro118Phe (CCG>TTC)
• This residue is exposed to the surface, far from the active site
• Phe is similar to Pro in hydrophobic nature, charge
• Phe is more bulky and flexible than Pro
Proline
Phenylalanine
Similar levels of ADAMTS13 mRNA in WT, P118P and P118F
ADAMTS13 mRNA, activity levels, and in vitro translation levels
Different levels of ADAMTS13 activity in WT and P118P
Different in vitro translation levels of WT and P118P ADAMTS13
0
50
100
150
WT M1 M2
mRN
A le
vel
as %
of W
T
WT P118P P118F
ADAMTS13 carrying a synonymous mutation has different inactivation rate compared to WT
Our characterization of the synonymous mutation, P118P, in ADAMTS13 demonstrated ~25% increase in expression level and ~25% increase in half-life.
Results and Conclusions
Protein therapeutics – Benefits and Importance
“Silent mutations” – Understanding synonymous mutations and polymorphisms ADAMTS13
Codon optimization – Recognizing the advantages of
optimized proteins Factor IX
Summary/Conclusions
Today’s Presentation
Codon optimization strategies
Expr
essio
n le
vel
Kimchi-Sarfaty et al., Science 315, 525-528, 2007; Gartner J., ... Kimchi-Sarfaty C. et al.: P Natl Acad Sci USA, 110:13481 - 13486, 2013; Sauna E.Z. and Kimchi-Sarfaty C.: Electronic Library of Science (eLS), Elsevier, 2013
Codon Optimization: An Augmentation of Protein Expression through a study of Factor IX
“a sophisticated algorithm that considers all relevant transcription and translation optimization parameters in a single operation and delivers a DNA sequence configured with your specifications, optimized for maximum performance in your system.”
Codon Optimization Commercial Method: Gene Optimizer®’s considerations
Total number of publications in PubMed
Publications that involve codon optimized genes
Increased Interest in Codon Optimization
Gene (exon )
Protein
Activated protein (FIXa): serine protease, 461 amino acids, 55 kDa
GLA (Ca2+ binding) Pre-pro
leader EGF-like domain
Activation Peptide
Catalytic domain
Cleavage GLA (Ca2+ binding) Pre-pro
leader seq
EGF-like domain
Catalytic domain
S S
HB
Gene F9
Incidence 1 : 30,000 males
Treatment pd or rFIX,
gene therapy (clinical trials)
Examples of Regulated Biologics
BeneFIX (Wyeth) AlphaNine (Grifols)
Mononine (Behring)
Inhibitor Development 3-5%
Factor IX and Hemophilia B patients
Hamasaki-Katagiri….Kimchi-Sarfaty: Haemophilia, 2012
The four codon sliding average relative synonymous codon usage (RSCU) was calculated across optimized and non-optimized transcripts. The translation rate and consequently, folding of FIX, may be affected by RSCU patterns.
00.20.40.60.8
11.21.41.61.8
2
1 101 201 301 401
Amino Acid No.
+/-4
Cod
on R
SCU
ave
rage
WT
Opt
Optimized F9 utilizes more common codons
60.9% of the codons are altered, equating to 22.5% of the nucleotides
Codon Substitutions between WT and Optimized FIX
Aptamer binding
Codon Optimization Assumes Synonymous Mutations have No Consequences
WT
WT
Opt
Opt
Opt
Extra Intra
FIX-V5
0
20
40
60
80
100
120
WT Opt#2
% F
IX s
peci
fic a
ctiv
ity
Opt WT
FIX WT 58.1 13.9 3.1 9.4 3.9 11.6 5.55 17.7FIX Codon Optimized 43.1 12.7 3.5 10.9 3.3 26.5 5.16 16.1
% peak areaK1K2
(6Gla)R-K1K2 (6Gla)
K1K2 (5Gla)
K1K2' (5Gla)
R-K1K2 (5Gla)
K1 K2 (3,4Gla)
Total Gla
Pro-peptide %
FIX WT 70 21.4 8.6 5.61FIX Codon Optimized 32.8 34 33.2 5
% peak areaK3
(6Gla)K3
(5Gla)K3
(4Gla)Total Gla
γ-carboxylation level of K1K2 peptide and propeptide determined by Lys-C peptide map
γ-carboxylation level of K3 peptide determined by Lys-C peptide map
GLA status of WT vs Codon Optimized Factor IX
Wild type (WT) and optimized (Opt) factor IX activity in the presence of Hemophilia B patient plasma containing inhibitory antibodies
Structural/ Conformational Differences: Inactivation Curves
Protein therapeutics – Benefits and Importance
“Silent mutations” – Understanding synonymous mutations and polymorphisms ADAMTS13
Codon optimization – Recognizing the advantages of
optimized proteins Factor IX
Summary/Conclusions
Today’s Presentation
Designing proteins with synonymous mutations that have a minimal
impact on protein characteristics/safety while improving production could
be a wise approach for better recombinant drug development; note that
some other characteristics may change
We have evidence indicating that one version of gene-optimized F9 yields
a protein product with unique conformation and functionality relative to
WT F9
Katsnelson: Nature Medicine 17 (12) , 2011; Sauna and Kimchi-Sarfaty: Nature Review Genetics, 12:683, 2011
Results and Conclusions
Robert Peters
My lab Zuben Sauna Daron Freedberg Kazuyo Takeda Mansoor Khan Basil Golding
Anton Komar
The work is supported by: FDA CBER, ModScience AHA 13GRNT17070025 NIH 1R15HL121779-01A1
Mark Welch and Claes Gustafsson
Acknowledgements
Teresa Przytycka