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`Constancis A, Meyrueix R, Bryson N, et al. Macromolecular colloids of diblock poly(amino acids)
`that bind insulin. J Colloid Interface Sci 1999; 217:357 368.
`Flamel Technologies webpage.
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`Regeneron Exhibit 1015.206
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`a new murine modelof reactivated toxoplasmosis. Antimicrob Agents Chemother 2001; 45:1771 1779.
`Li LC, Zhu L, Song JF, Deng JS, et al. Effect of solid state transition on the physical stability of
`suspensions containing bupivacaine lipid microparticles. Pharm Dev Technol 2005; 10:309 318.
`Papahadjopoulos D, Vail WJ, Jacobson K, et al. Cochleate lipid cylinders: formation by fusion of
`unilamellar lipid vesicles. Biochim Biophys Acta 1975; 394:483 491.
`Zarif L. Drug delivery by lipid cochleates. Methods Enzymol 2005; 391:314 329.
`intravenous
`Segarra I, Movshin DA, Zarif L. Pharmacokinetics and tissue distribution after
`administration of a single dose of amphotericin B cochleates, a new lipid based delivery system. J
`Pharm Sei 2002; 91:1827 1837.
`Zarif L, Graybill JR, Perlin D, et al. Antifungal activity of amphotericin B cochleates against Candida
`albicans infection in a mouse model. Antimicrob Agents Chemother 2000; 44:1463 1469.
`Gould Fogerite 5, Kheiri, MT, et al. Cochleate delivery vehicles: applications in vaccine delivery.
`J Liposome Res 2001; 10:339 356.
`Bracho G, Lastre M, del CampoJ, et al. Proteoliposome derived cochleate as novel adjuvant. Vaccine
`2006; 24(suppl 2):52 530 31.
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`Deliv Technol 2003; 3.
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`Chertin B, Spitz IM, Lindenberg T, et al. An implant releasing the gonadotropin hormonereleasing
`hormone agonist histrelin maintains medical castration for up to 30 months in metastatic prostate
`cancer. J Urol 2000; 163:838 844.
`WrightJ, Chester, AE, Skowronski, RJ, et al. Long term controlled delivery of therapeutic agents via
`an implantable osmotically driven system: the DUROS implant.
`In: Rathbone M, ed. Modified
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`Fowler JE Jr., GottesmanJE, Reid CF, et al. Safety and efficacy of an implantable leuprolide delivery
`system in patients with advanced prostate cancer. J Urol 2000; 164:730 734.
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`controlled release parenterals: AAPS workshop report, co sponsored by FDA and USP. Pharm Res
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`controlled released parenterals. Eur J Pharm Sci 2004; 21:679 690.
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`particulate systems. Pharm Res 2006; 23:460 474.
`D'Souza 5S, Faraj JA, DeLuca PP. A model dependent approach to correlate accelerated with real
`time release from biodegradable microspheres. AAPS PharmSciTech 2005; 6:E553 E564.
`Gido C, Langguth P, Kreuter J, et al. Conventional versus novel conditions for
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`forms. Pharmazie 1993; 48:764 769.
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`of current status and potential implications on drug product development. Biopharm Drug Dispos
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`protein release from PLGA based microparticles? Int J Pharm 2008; 350:14 26.
`UppoorVR. Regulatory perspectives on in vitro (dissolution)/in vivo (bioavailability) correlations. J
`Control Release 2001; 72:127 132.
`Cheung RY, Kuba R, Rauth AM,et al. A new approachto the in vivo and in vitro investigation of
`drug release from locoregionally delivered microspheres. ] Control Release 2004; 100:121 133.
`Schliecker G, Schmidt C, Fuchs 5, et al. In vitro and in vivo correlation of buserelin release from
`biodegradable implants using statistical moment analysis. ] Control Release 2004; 94:25 37.
`Gido C, Langguth P, Mutschler E. Predictions of in vivo plasma concentrations fromin vitro release
`kinetics: application to doxepin parenteral (i.m.) suspensions in lipophilic vehicles in dogs. Pharm
`Res 1994; 11:800 808.
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`loaded poly(lactic co glycolic acid) microspheres in dogs. Int J] Pharm 2006; 325:116 123.
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`sampling technique for implantable drug delivery systems. J Pharm Sci 1999; 88:1036 1040.
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`Regeneron Exhibit 1015.207
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`Marcel Dekker, 2003:40 50.
`Staples M, Daniel K, Cima MJ, Langer R. Application of micro and nanoelectromechanical devices
`to drug delivery. Pharm Res 2006; 23:847 863.
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`polymer systems for drug delivery and tissue engineering. Adv Drug Deliv Rev 2008; 60:373 387.
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`delivery and biosensing. J Control Release 2005; 109:244 255.
`Avgoustakis K. Pegylated poly(lactide) and poly(lactide co glycolide) nanoparticles: preparation,
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`ideal carriers for chronobiclogy and
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`Regeneron Exhibit 1015.208
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`8|Biophysical and biochemical characterization
`of peptide and protein drug product
`Tapan K. Das and JamesA. Carroll
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`INTRODUCTION
`Classes of Biotherapeutics
`The biotherapeutics class of drugs that are commercially available encompass a range of
`compounds including recombinant or purified proteins, monoclonal antibodies (also
`proteins), peptides, conjugated or fused peptides, antibody conjugates, protein vaccines,
`oligonucleotides, protein-lipid complexes, enzymes, antibody fragments (Fabs), glycosylated
`proteins, and carbohydrates (Fig. 1). Additional molecule typesare in preclinical and clinical
`development.
`The biotherapeutics class contains a wide variety of recombinant proteins derived from
`microbial, mammalian, and yeast sources (Table 1). There are few products that are extracted
`from natural sources. The biotherapeutics class of drugs uses a variety of technologies for
`extending half-life such as conjugating to polyethylene glycol (PEG), fusion with antibody or
`Fab, and employing the antibodyitself. This is especially true for peptides and other small
`entities that would be cleared via the kidneys without a half-life enhancing strategy such as
`conjugation or fusion. Table 1 illustrates the wide variety of biotherapeutics entities on the
`market.
`
`Regulatory Guidance on Structural Characterization
`Regulatory approval of a biotherapeutic entity requires meeting the guidelines for chemistry,
`manufacturing, and controls (CMC) put forth by the relevant regulatory agency. A complete
`CMC packageincludes a description of the characterization of the biotherapeutic entity, which
`includes the Elucidation of Structure and Impurities sections, which, for biological entities can
`be quite complex.
`It is expected that the applicant have a detailed understanding of the
`structure, heterogeneity, and stability of the biotherapeutic entity using a variety of analytical
`methods. Regulatory guidance on the characterization of biotherapeutic molecules can be
`found in several sources. The U.S. Food and Drug Administration (FDA),
`the European
`Medicines Agency (EMEA), and other regulatory agencies around the world often provide
`guidance documents on specific topics relating to the review and approval of drugs, and these
`can be excellent sources of information for applicants (www.fda.gov, www.emea.europa.eu).
`The International Committee on Harmonization (ICH) (www.ich.org) provides guidance
`documentation agreed on by the regulatory agencies of the United States, Europe, and
`Japan. The ICH guideline Q5 deals specifically with biotechnology products, and some
`information concerning characterization is available in this section, particularly Q5E on
`comparability. Q6B deals with specifications of biotechnology products, and provides further
`relevant information for biotherapeutic entities.
`
`Proof of Structure
`As part of the Elucidation of Structure section of a CMC package, a detailed analysis of the
`structure of the biotherapeutic is required. This evaluation is in addition to the normal batch
`release assays used for the product which ensure the safety and efficacy of each batch. The
`characterization assays included in this section are used for confirmation of the predicted
`primary structure, higher order structures, post-translational modifications, and degradation
`products that may form or increase on stability. The presence and levels of variant forms needs
`to be measured, and their impacton the safety and efficacy of the product needsto be assessed.
`The attributes investigated may be assessed using multiple analytical methods for each, as
`discussed in some detail below.
`
`Regeneron Exhibit 1015.209
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`BIOPHYSICAL AND BIOCHEMICAL CHARACTERIZATION OF PEPTIDE AND PROTEIN DRUG PRODUCT
`
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`peutic class of drugs and drug candidates in
`various stages of development (data from
`PharmaCircle, March 2009). Numbers do not
`represent unique molecule types in any of the
`classes.
`
`The confirmation of primary structure may include assays that demonstrate the product
`has the expected amino acid sequence, such as amino acid sequencing, mass spectrometry
`(MS), and electrophoresis. These methods ensurethat there are no translation variants such as
`amino acid substitutions, terminal extensions, or unprocessed introns present in the product.
`Higher order structure may be assessed by biophysical and spectroscopic methods such as
`circular dichroism (CD) and fluorescence spectroscopy. This may include a determination of
`the disulfide bond connectivity, which can be critical for a protein to maintain its active
`conformation. Many post-translational modifications of proteins are possible, such as
`glycosylation. Other modifications mayinclude related species formed as a consequence of
`degradation, such as oxidation and deamidation. For conjugated products, variants due to the
`conjugation process and degradation products of these need to be assessed and understood. In
`total, biotherapeutics may include a heterogeneous mixture due to all of the variant forms
`possible, and the applicant needs to demonstrate an understanding of the species present.
`
`Potency Determination
`For biologics, in most cases, a relevant potency assay for the biological entity is required for its
`approval. The assay needs to demonstrate “the specific ability or capacity of a product to
`achieve a defined biological effect.” (ICH, Q6B, specifications: test procedures and acceptance
`criteria for biotechnological/biological products). One or more bioassays are typically included
`as part of batch release, and range from binding assays, cell-based assays, or in vivo animal
`assays. As part of characterization, it is expected that variant forms of the biological entity be
`assessed for potency. This involves isolation of the variant form and testing in the relevant
`bioassay(s)
`for
`the product. For species that
`form or increase on stability because of
`degradation, stress conditions can be used to generate sufficient material to perform potency
`assays.
`
`Formulation Characterization
`(intravenous or
`Most
`therapeutic biologics currently are administered via parenteral
`subcutaneous) route. The goal of biologics drug product formulation development is to
`minimize various degradation pathways to achieve a minimum shelf-life of 18 to 24 months at
`the intended storage condition. An emerging strategy in the biotherapeutics industry is to
`minimize investment in the early stages of preclinical and clinical development, and therefore,
`drug product formulation for early clinical
`trials may not be characterized in detail.
`Additionally, long-term stability data may be rarely available in early stage. Howeverit is
`necessary to make an assessment of potential chemical and physical labilities that may impact
`long-term stability. A part of this assessment can be achieved by Preformulation work whichis
`a combination of experimental and bioinformatics studies conducted in early stage prior
`to nominating a drug product
`formulation. “Formulation characterization” refers to
`
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`Regeneron Exhibit 1015.211
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`sginoajoyypuesaiGojouy9a,seqinossadA|,sajnoajoyyJoSs2/5sonnedeuauyloigjosajdwexy4aIqeL
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`characterization of drug product formulation using biochemical and biophysical methods for
`adequate understanding of structural and functional correlations to stability in a stage
`appropriate manner. It should be noted that depending on the type of biologics candidate and
`its stability profile, it may be necessary to conduct additional formulation characterization
`studies especially when stability is poor and/or stability-bioactivity correlation is complex.In
`later stages of clinical development as well as for biologics license applications (BLA) it is
`expected that extensive formulation characterization studies are conducted.
`
`Determination of Hot Spots
`An important and first step in formulation characterization is to determine the potential
`liabilities in the amino acid sequence and otherparts (for contents other than amino acid) of the
`biotherapeutic candidate. These liabilities are often referred to as “hot spots.” There are some
`aminoacids or groups of amino acids that exhibit common occurrences of chemical or physical
`degradation events such as oxidation and deamidation. For example,
`the amino acid
`methionine (Met) undergoes oxidation, especially in the presence of oxygen and whenitis
`on the protein surface exposed to bulk solvent. Similarly, a surface-exposed pair of asparagine-
`glycine (Asn-Gly) when present in a loosely formed structural domain in the protein may be
`prone to deamidation undercertain formulation conditions (1).
`
`Linear sequence vs. folded structure. Determination of hot spots may not be trivial for all
`protein types. Prediction of lability of an amino acid based on primary structure [ie., amino
`acid linkage (Table 2)] does not work well for folded proteins because surface exposure and
`flexibility in the three-dimensional structure are among the important criteria dictating
`propensity of degradation. For certain classes of biotherapeutics where adequate correlation
`between structural and chemical degradation is available,
`it might be possible to more
`accurately predict hot spots. For example, immunoglobulins (IgGs) of a given subtype may
`contain common hot spots in the conserved part of the sequence (Table 2). Similarly,
`degradation behavior of a nonconserved amino acid in a conserved structural motif in IgGs
`may be partially predicted on the basis of structural flexibility of the motif (unordered vs.
`helical or B sheet). While these approaches are quite useful in enlisting the common hot spots
`for chemical degradation, they may not predict physical degradation (aggregation) hot spots or
`unique chemical degradation events [e.g., tyrosine (Tyr)/tryptophan (Trp) oxidation].
`The determination of hot spots needs information on folded structure but many
`biotherapeutic candidates will not have its crystal structure or other solution-based
`(e.g., NMR) structure available. In the absence of structure, homology modeling may be
`beneficial to derive qualitative structure using bioinformatics tools. In a recent study, Wang
`et al. (14) employed a novel use of bioinformatics tools to delineate common sequence
`segments across several antibodies and hypothesized that such segments may contribute to
`aggregation propensity on the basis of certain physicochemical properties of the contributing
`amino acids in these segments (rich in aliphatic/aromatic residues). Using full antibody
`atomistic molecular dynamics simulations, Chennamsetty et al. (15) identified the antibody
`regions prone to aggregation by using a technology called spatial aggregation propensity.
`Development of such bioinformatics tools is a good first step in understanding aggregation
`propensity, however it remains to be experimentally tested how accurately and widely such
`tools can be used for reliable prediction appropriate for drug development.
`
`Physical and Chemical Degradations
`the next step in formulation
`Following determination of hot spots as described above,
`characterization is to experimentally determine the major degradation pathway(s) and to
`understand the mechanism of degradation. Unlike small molecule drugs, protein-based
`biotherapeutics candidates have added complexity of several degrees of structure such as
`secondary, tertiary and quaternary structures that are critical to its stability and intended
`function. The degradations observed and/or predicted can be categorized into two types
`chemical and physical degradations. Majority of the degradations cited in Table 2 are of
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`Table 2. Protein and Peptide Degradation Hot Spots
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`
`
`Labile groups Occurrence in IgG and other proteins Type of degradation
`
`
`
`
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`Asn Ser, Asn Asn,
`Asn Thr, Asn Lys,
`Asn His, Asn Asp
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`Deamidation, Isomerization
`
`Asn Gly Deamidation, Isomerization=NN*SG in CH3 (IgG2a) (2)
`QN™®®G in CL (IgG2a) (2)
`LN?"§G in CH2 (IgG1) (3)
`SN*"5G in CH3 (IgG1) (3)
`RN*2°S in CH3 (IgG2a) (2)
`PEN“°°NY in CH3 (3)
`VNO°T in CDR1 of LC (4)
`SN?"K in CH2 (5)
`D??4 p75 (igG1) (5)
`Clipping (peptide bond)
`Asp Pro
`Asp Gin DKin hinge (IgG1) (5)
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`H T in hinge (IgG1) (5)
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`Asp Lys
`His Thr
`Asp
`Met
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`Cys
`Trp
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`Tyr
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`Isomerization
`Oxidation
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`Oxidation
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`D'°G in CDR3 of HC (IgG1) (4)
`M* in CDR1 of HC (IgG1) (6)
`M"*" in CDR3 of HC (IgG1) (6)
`Oxidation (to form disulfide) C'°° in CDR3 of HC (IgG2a) (2)
`Oxidation
`w**| wW®* in CDR2 of HC (IgG) (6)
`w'® in CDR8 of HC (IgG1) (6)
`Oxidation of lens protein forms
`dihydroxyphenylalanine, o and m Tyr, and
`di Tyr (7)
`Trans P™ isomer formation in 2 microglobulin (8)
`K** in LC (IgG1) (9)
`Iron loss by acidic pH, chelatorin transferrin (10)
`Low pH Fe His breakage in hemoglobin (11)
`Labile Fe S (Met) bond in cytochrome c breaks
`under various conditions (12)
`May form adducts such as carboxylate adduct with
`Reaction with
`Amine and other reactive
`citrate/succinate (13)
`buffer/excipients
`amino acids
`Potential hot spots for aggregation in IgG predicted
`Aggregation
`Various hydrophobic
`segments using bioinformatics tools (14,15)
`
`
`Pro
`Lys
`Fe His/Asp/Tyr
`His Fe (heme)
`Met Fe (heme)
`
`Proline isomerization
`Glycation
`Metal bond breakage
`Metal bond breakage
`Metal bond breakage
`
`Abbreviations: |gG, immunoglobulin; LC, light chain of IgG; HC, heavy chain of IgG; Tyr, tyrosine; Met, methionine.
`
`chemical nature, whereas physical degradation includes aggregation, particulate formation,
`and related structural degradation events associated with adsorption, misfolding, denaturation
`(by heat, chemicals, chaotropes, ete.), partial misfolding, nucleating species, and sometimes
`chemical degradation. Physical degradation is complex and may involve a wide variety of
`causative factors that may involve protein-protein interaction, native state conformational
`distortion, air-water interfacial
`tension, and conformational changes induced by solvents,
`additives, and processing. Therefore, a multitude of biophysical
`tools (in addition to
`biochemical characterization) is often necessary to achieve a comprehensive formulation
`characterization.
`
`ASSESSMENT OF PRIMARY STRUCTURE
`Simply put,
`the primary structure of a protein consists of its amino acid sequence. For
`recombinant proteins, the amino acid sequence can be predicted from the cDNA usedin its
`production. This basic attribute of a protein determines the entirety of its biophysical and
`biochemical properties. The amino acid sequence of a protein determines its ability to fold
`properly, and thus determinesits ability to maintain its function. Therefore, a small change in
`the primary structure, depending on its location, may have a range of effects on a protein’s
`activity, from no effect to a very large impact. The amino acid sequence can also impact the
`chemical and physical stability of a protein, even when there is no measurable impact on
`activity. Thus, confirming the amino acid sequence of a protein is
`fundamental
`to
`understanding its overall structure and properties.
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`During production of recombinant proteins, several modifications to the primary
`structure are possible. These include errors in transcription or translation, generating such
`variant forms as amino acid substitutions, N- and C-terminal extensions, splice variants, and
`internal sequence extensions. Other changes to the primary structure may occur as a
`consequence of biochemicalinstability, such as deamidation or oxidation. All of these variant
`forms can have large impacts on the properties of the protein, and need to be detected and
`controlled during production and storage.
`
`Amino Acid Composition Analysis
`One of the most basic assessments of primary structure is the confirmation of the exp