Zhongqi Zhang

High-mannose glycans on the Fc region of therapeutic IgG antibodies increase serum clearance in humans

Glycan structures attached to the C(H)2 domain of the Fc region of immunoglobulin G (IgG) are essential for specific effector functions but their role in modulating clearance is less clear. Clearance is of obvious importance for therapeutic monoclonal antibodies (Mabs) as it directly impacts efficacy. Here, we study the impact of Fc glycan structure on the clearance of four therapeutic human IgGs (one IgG1 and three IgG2s) in humans. The therapeutic IgGs were affinity purified from serum samples from human pharmacokinetic studies, and changes to the glycan profile over time were determined by peptide mapping employing high-resolution mass spectrometry. Relative levels of high-mannose 5 (M5) glycan decreased as a function of circulation time, whereas other glycans remained constant. These results demonstrate that therapeutic IgGs containing Fc high-mannose glycans are cleared more rapidly in humans than other glycan forms. The quantitative effect of this on pharmacokinetic area under the curve was calculated and shown to be relatively minor for three of the four molecules studied, but, depending on the dosing regimen and the relative level of the high-mannose glycan, this can also have significant impact. High-mannose content of therapeutic Mabs should be considered an important product quality attribute which may affect pharmacokinetic properties of therapeutic antibodies.

Human IgG2 Antibodies Display Disulfide-mediated Structural Isoforms

In this work, we present studies of the covalent structure of human IgG2 molecules. Detailed analysis showed that recombinant human IgG2 monoclonal antibody could be partially resolved into structurally distinct forms caused by multiple disulfide bond structures. In addition to the presently accepted structure for the human IgG2 subclass, we also found major structures that differ from those documented in the current literature. These novel structural isoforms are defined by the light chain constant domain (CL) and the heavy chain CH1 domain covalently linked via disulfide bonds to the hinge region of the molecule. Our results demonstrate the presence of three main types of structures within the human IgG2 subclass, and we have named these structures IgG2-A, -B, and -A/B. IgG2-A is the known classic structure for the IgG2 subclass defined by structurally independent Fab domains and hinge region. IgG2-B is a structure defined by a symmetrical arrangement of a (CH1-CL-hinge)2 complex with both Fab regions covalently linked to the hinge. IgG2-A/B represents an intermediate form, defined by an asymmetrical arrangement involving one Fab arm covalently linked to the hinge through disulfide bonds. The newly discovered structural isoforms are present in native human IgG2 antibodies isolated from myeloma plasma and from normal serum. Furthermore, the isoforms are present in native human IgG2 with either κ or λ light chains, although the ratios differ between the light chain classes. These findings indicate that disulfide structural heterogeneity is a naturally occurring feature of antibodies belonging to the human IgG2 subclass.

Mass Measurement and Top-Down HPLC/MS Analysis of Intact Monoclonal Antibodies on a Hybrid Linear Quadrupole Ion Trap–Orbitrap Mass Spectrometer

Mass and top-down analyses of 150-kDa monoclonal immunoglobulin gamma (IgG) antibodies were performed on an Orbitrap analyzer. Three different sample delivery methods were tested including (1) infusion of an off-line desalted IgG sample using nano-electrospray; (2) on-line desalting followed by a step elution with a high percentage of organic solvent; and (3) reversed-phase HPLC separation and on-line mass and top-down analyses of disulfide isoforms of an IgG2 antibody. The accuracy of mass measurements of intact antibody was within ±2 Da (15 ppm). The glycoforms of intact IgG antibodies separated by 162 Da were baseline resolved. In-source fragmentation of the intact antibodies produced mainly 115 residue fragments including N-terminal variable domains of heavy and light chains. The sequence coverage (the number of cleavages) was greatly increased after reduction of disulfide bonds and HPLC/MS/MS analysis of light and heavy chains using collision-induced dissociation in the ion trap of the LTQ-Orbitrap. This is an attractive alternative to peptide mapping for characterization and monitoring of post-translational modifications attributed to minimal sample preparation, high speed of the mass/top-down analysis, and relatively minor method-induced sample modifications.

G/U and Certain Wobble Position Mismatches as Possible Main Causes of Amino Acid Misincorporations

A mass spectrometry-based method was developed to measure amino acid substitutions directly in proteins down to a level of 0.001%. When applied to recombinant proteins expressed in Escherichia coli, monoclonal antibodies expressed in mammalian cells, and human serum albumin purified from three human subjects, the method revealed a large number of amino acid misincorporations at levels of 0.001-0.1%. The detected misincorporations were not random but involved a single-base difference between the codons of the corresponding amino acids. The most frequent base differences included a change from G to A, corresponding to a G(mRNA)/U(tRNA) base pair mismatch during translation. We concluded that under balanced nutrients, G(mRNA)/U(tRNA) mismatches at any of the three codon positions and certain additional wobble position mismatches (C/U and/or U/U) are the main causes of amino acid misincorporations. The hypothesis was tested experimentally by monitoring the levels of misincorporation at several amino acid sites encoded by different codons, when a protein with the same amino acid sequence was expressed in E. coli using 13 different DNA sequences. The observed levels of misincorporation were different for different codons and agreed with the predicted levels. Other less frequent misincorporations may occur due to G(DNA)/U(mRNA) mismatch during transcription, mRNA editing, U(mRNA)/G(tRNA) mismatch during translation, and tRNA mischarging.

Prediction of collision-induced dissociation spectra of common N-glycopeptides for glycoform identification.

Confident identification of the glycan moieties in glycopeptides by collision-induced dissociation (CID) requires accurate prediction of the CID spectrum of the glycopeptides. In this Article, the kinetic model for the prediction of peptide CID spectra is extended to predict the CID spectra of N-glycopeptides. The model was trained with 1831 ion-trap CID spectra of N-glycopeptides and is able to predict ion-trap CID spectra with excellent accuracy in ion intensities for N-glycopeptides up to 8000 u in mass. A total of 524 common glycoforms including complex N-glycans with 2-4 antennas, plus high-mannose type and hybrid type, can be predicted.

LC-MS/MS Peptide Mapping with Automated Data Processing for Routine Profiling of N-Glycans in Immunoglobulins

AbstractProtein N-Glycan analysis is traditionally performed by high pH anion exchange chromatography (HPAEC), reversed phase liquid chromatography (RPLC), or hydrophilic interaction liquid chromatography (HILIC) on fluorescence-labeled glycans enzymatically released from the glycoprotein. These methods require time-consuming sample preparations and do not provide site-specific glycosylation information. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) peptide mapping is frequently used for protein structural characterization and, as a bonus, can potentially provide glycan profile on each individual glycosylation site. In this work, a recently developed glycopeptide fragmentation model was used for automated identification, based on their MS/MS, of N-glycopeptides from proteolytic digestion of monoclonal antibodies (mAbs). Experimental conditions were optimized to achieve accurate profiling of glycoforms. Glycan profiles obtained from LC-MS/MS peptide mapping were compared with those obtained from HPAEC, RPLC, and HILIC analyses of released glycans for several mAb molecules. Accuracy, reproducibility, and linearity of the LC-MS/MS peptide mapping method for glycan profiling were evaluated. The LC-MS/MS peptide mapping method with fully automated data analysis requires less sample preparation, provides site-specific information, and may serve as an alternative method for routine profiling of N-glycans on immunoglobulins as well as other glycoproteins with simple N-glycans. Figureᅟ

Retention Time Alignment of LC/MS Data by a Divide-and-Conquer Algorithm

Liquid chromatography-mass spectrometry (LC/MS) has become the method of choice for characterizing complex mixtures. These analyses often involve quantitative comparison of components in multiple samples. To achieve automated sample comparison, the components of interest must be detected and identified, and their retention times aligned and peak areas calculated. This article describes a simple pairwise iterative retention time alignment algorithm, based on the divide-and-conquer approach, for alignment of ion features detected in LC/MS experiments. In this iterative algorithm, ion features in the sample run are first aligned with features in the reference run by applying a single constant shift of retention time. The sample chromatogram is then divided into two shorter chromatograms, which are aligned to the reference chromatogram the same way. Each shorter chromatogram is further divided into even shorter chromatograms. This process continues until each chromatogram is sufficiently narrow so that ion features within it have a similar retention time shift. In six pairwise LC/MS alignment examples containing a total of 6507 confirmed true corresponding feature pairs with retention time shifts up to five peak widths, the algorithm successfully aligned these features with an error rate of 0.2%. The alignment algorithm is demonstrated to be fast, robust, fully automatic, and superior to other algorithms. After alignment and gap-filling of detected ion features, their abundances can be tabulated for direct comparison between samples.

Peptide conformation in gas phase probed by collision-induced dissociation and its correlation to conformation in condensed phases

A kinetic peptide fragmentation model for quantitative prediction of peptide CID spectra in an ion trap mass spectrometer has been reported recently. When applying the model to predict the CID spectra of large peptides, it was often found that the predicted spectra differed significantly from their experimental spectra, presumably due to noncovalent interactions in these large polypeptides, which are not considered in the fragmentation model. As a result, site-specific quantitative information correlated to the secondary/tertiary structure of an ionized peptide may be extracted from its CID spectrum. To extract this information, the kinetic peptide fragmentation model was modified by incorporating conformation-related parameters. These parameters are optimized for best fit between the predicted and the experimental spectrum. A conformational stability map is then generated from these conformation-related parameters. Analysis of a few bioactive α-helical peptides including melittin, glucagon and neuropeptide Y by this technique demonstrated that their stability maps in the gas phase correlate strongly to their secondary structures in the condensed phases.

Effect of Fc-Glycan Structure on the Conformational Stability of IgG Revealed by Hydrogen/Deuterium Exchange and Limited Proteolysis

Human therapeutic immunoglobulin gamma (IgG) molecules contain an N-glycan on each of their Fc CH2 domains. These glycans include high-mannose, hybrid, and complex types. Recombinant IgG molecules containing high-mannose glycans have been shown to clear faster in human blood, and exhibit decreased thermal stability. The molecular mechanism behind these observations, however, is not well understood. In this work, we used hydrogen/deuterium exchange combined with mass spectrometry (HDX MS), as well as proteolytic degradation under a native-like condition, to assess the impact of different glycoforms on the molecular structure and stability of recombinant IgG1 and IgG2 molecules expressed from Chinese hamster ovary cells. Our HDX MS data indicate that the conformation of these IgG molecules was indeed influenced by the glycan structure. IgG molecules containing high-mannose and hybrid glycans showed more conformational flexibility in the CH2 domain. This conclusion was further supported by the analysis of glycopeptides released from these molecules by trypsin digestion under a native-like condition. The higher CH2 conformational flexibility of IgG molecules with high-mannose and hybrid glycans contributes to their decreased thermal stability. IgG molecules containing sialylated glycans in the CH2 domain exhibited similar enzymatic degradation behavior as high-mannose glycans, suggesting decreased CH2-domain stability compared to shorter complex glycans, likely resulting from steric effect that decreased the glycan-CH2 domain interaction.

Metabolomics analysis of soy hydrolysates for the identification of productivity markers of mammalian cells for manufacturing therapeutic proteins

Soy hydrolysates are widely used as a nutrient supplement in mammalian cell culture for the production of recombinant proteins. The batch‐to‐batch variability of a soy hydrolysate often leads to productivity differences. This report describes our metabolomics platform, which includes a battery of LC‐MS/MS modes of operation, and advanced data analysis software for automated data processing. The platform was successfully used for screening productivity markers in soy hydrolysates during the production of two therapeutic antibodies in two Chinese hamster ovary cell lines. A total of 123 soy hydrolysate batches were analyzed, from which 62 batches were used in the production runs of cell line #1 and 12 batches were used in the production runs of cell line #2. For cell line #1, out of 19 amino acids, 106 other metabolites and 4,131 peptides identified in the soy hydrolysate batches being used, several nucleosides and short hydrophobic peptides showed negative correlation with antibody titer, while ornithine, citrulline and several amino acids and organic acids correlated positively with titer. For cell line #2, only ornithine and citrulline showed strong positive correlation. When ornithine was spiked into the culture media, both cell lines demonstrated accelerated cell growth, indicating ornithine as a root cause of the performance difference. It is proposed that better soy hydrolysate performance resulted from better bacterial fermentation during the hydrolysate production. A few selected markers were used to predict the performance of other soy hydrolysate batches for cell line #1. The predicted titers agreed with the experimental values with good accuracy.