Abstract:Isomerization of a monoclonal antibody is one of the common routes of protein degradation. An isomerization in the complementarity-determining region (CDR) was found previously and is investigated in depth in this work. Affinity analysis proves that the antibody with one isomerized heavy chain has lower binding. Binding constants were determined, and exhibited a slower on-rate in conjunction with a faster off-rate for this isomerization. To determine the role of the buffer on the rate of isomerization, this an… Show more
“…The deamidation hotspot at HC‐Asn328 under the acidic condition (pH 5.1 in this work) was not reported by Harris et al, which may be because of that trastuzumab was not stressed and tested in the acidic pH in their work. It is known that normally the deamidation of Asn residue proceeds favorably at neutral and basic pH values and the isomerization of Asp residue proceeds faster at acidic pH values (e.g., pH <6.0) . A special case of deamidation in acidic solution was recently reported for this Asn328 in VSNK peptide, in which deamidation was not detected in neutral pH .…”
Section: Discussionmentioning
confidence: 93%
“…Like other proteins, therapeutic mAbs are susceptible to a variety of chemical and physical degradation reactions during manufacturing, formulation storage and in vivo usage . Asparagines (Asn) deamidation and aspartate (Asp) isomerization are the most common pathways for the chemical degradation of mAbs, which could affect the in vitro stability, in vivo biological functions, and bioavailability of a therapeutic mAb . It has been reported that several IgG1 mAbs lost their bioactivities because of the deamidation and/or isomerization in their complementary determining regions (CDRs) .…”
Section: Introductionmentioning
confidence: 99%
“…[3][4][5][6][7][8][9] Asparagines (Asn) deamidation and aspartate (Asp) isomerization are the most common pathways for the chemical degradation of mAbs, which could affect the in vitro stability, in vivo biological functions, and bioavailability of a therapeutic mAb. [10][11][12][13][14] It has been reported that several IgG1 mAbs lost their bioactivities because of the deamidation and/or isomerization in their complementary determining regions (CDRs). [15][16][17][18][19][20][21] Cacia et al 11 reported that the Asp isomerization in the first light-chain (LC) CDR, namely, LC-CDR1, of an anti-IgE mAb resulted in approximately 80% loss in its binding affinity.…”
“…The deamidation hotspot at HC‐Asn328 under the acidic condition (pH 5.1 in this work) was not reported by Harris et al, which may be because of that trastuzumab was not stressed and tested in the acidic pH in their work. It is known that normally the deamidation of Asn residue proceeds favorably at neutral and basic pH values and the isomerization of Asp residue proceeds faster at acidic pH values (e.g., pH <6.0) . A special case of deamidation in acidic solution was recently reported for this Asn328 in VSNK peptide, in which deamidation was not detected in neutral pH .…”
Section: Discussionmentioning
confidence: 93%
“…Like other proteins, therapeutic mAbs are susceptible to a variety of chemical and physical degradation reactions during manufacturing, formulation storage and in vivo usage . Asparagines (Asn) deamidation and aspartate (Asp) isomerization are the most common pathways for the chemical degradation of mAbs, which could affect the in vitro stability, in vivo biological functions, and bioavailability of a therapeutic mAb . It has been reported that several IgG1 mAbs lost their bioactivities because of the deamidation and/or isomerization in their complementary determining regions (CDRs) .…”
Section: Introductionmentioning
confidence: 99%
“…[3][4][5][6][7][8][9] Asparagines (Asn) deamidation and aspartate (Asp) isomerization are the most common pathways for the chemical degradation of mAbs, which could affect the in vitro stability, in vivo biological functions, and bioavailability of a therapeutic mAb. [10][11][12][13][14] It has been reported that several IgG1 mAbs lost their bioactivities because of the deamidation and/or isomerization in their complementary determining regions (CDRs). [15][16][17][18][19][20][21] Cacia et al 11 reported that the Asp isomerization in the first light-chain (LC) CDR, namely, LC-CDR1, of an anti-IgE mAb resulted in approximately 80% loss in its binding affinity.…”
“…Such reaction makes Asp being considered as a protein hotspot of isomerization. Asp isomerization has been reported on antibodies by multiple papers [42–44]. Comparing to Asn deamidation, Asp isomerization has a higher rate at low pH (< 5.5) [1].…”
Chemical stability is a major concern in the development of protein therapeutics due to its impact on both efficacy and safety. Protein “hotspots” are amino acid residues that are subject to various chemical modifications, including deamidation, isomerization, glycosylation, oxidation etc. A more accurate prediction method for potential hotspot residues would allow their elimination or reduction as early as possible in the drug discovery process. In this work, we focus on prediction models for asparagine (Asn) deamidation. Sequence-based prediction method simply identifies the NG motif (amino acid asparagine followed by a glycine) to be liable to deamidation. It still dominates deamidation evaluation process in most pharmaceutical setup due to its convenience. However, the simple sequence-based method is less accurate and often causes over-engineering a protein. We introduce structure-based prediction models by mining available experimental and structural data of deamidated proteins. Our training set contains 194 Asn residues from 25 proteins that all have available high-resolution crystal structures. Experimentally measured deamidation half-life of Asn in penta-peptides as well as 3D structure-based properties, such as solvent exposure, crystallographic B-factors, local secondary structure and dihedral angles etc., were used to train prediction models with several machine learning algorithms. The prediction tools were cross-validated as well as tested with an external test data set. The random forest model had high enrichment in ranking deamidated residues higher than non-deamidated residues while effectively eliminated false positive predictions. It is possible that such quantitative protein structure–function relationship tools can also be applied to other protein hotspot predictions. In addition, we extensively discussed metrics being used to evaluate the performance of predicting unbalanced data sets such as the deamidation case.
“…These heterogeneities include aggregation, fragmentation, deamidation, oxidation, N-and C-terminal differentiations. [2][3][4][5][6][7][8][9][10][11] Several analytical methods have been developed for these purposes, for example, SDS polyacrylamide gel electrophoresis for the determination of the purity of proteins, size exclusion chromatography for aggregation, ion exchange chromatography or hydrophobic interaction chromatography for the detection of deamidation and oxidation variants, and Ellman's assay for quantification of free thiol groups. 12,13 Capillary-based SDS electrophoresis (CE-SDS) is one version of the capillary gel electrophoresis (CGE) using soluble linear polymers.…”
We evaluated the performance of a commercial microchip electrophoresis instrument (LabChip ® GXII) for the evaluation of change of degradation species of therapeutic antibodies in stability testing. This system requires a sample volume of only 5 μg, and indicates fine resolution of size variant species such as light chain, heavy chain, non-glycosylated heavy chain and various degradation species. Precision and accuracy were high; the intermediate precision of 18 determinations was only 2.1% or less as RSD and recoveries ranged from 97.8 to 103.0% for major species as heavy chain, light chain and intact molecule of a therapeutic antibody. The applicability of this method was demonstrated by applying the method for the analysis of heat-degraded products of three pharmaceutical antibodies. Though some fragment peaks commonly appeared and increased according to temperature regardless of the source of preparations, one of them indicated specific peaks implying the cleavage of the peptide chain of the heavy chain. We also compared the performance of the method with those using conventional capillary-based SDS electrophoresis. Although the absolute purity values expressed as peak area % were different for the two methods, probably due to the difference in the detection methods, similar quality profiles were obtained within 40 s by microchip-based SDS electrophoresis. In addition, the degradation manner of three marketed antibodies depending on temperature was almost the same for the two methods. At the first stage in the development of manufacturing antibody pharmaceuticals, various factors including cell selection, cell cultivation, and formulation development should be evaluated using limited sample amounts. The stability testing using microchip-based electrophoresis seems suitable for these purposes.
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