Combination of IM-Based Approaches to Unravel the Coexistence of Two Conformers on a Therapeutic Multispecific mAb.

Multispecific antibodies, which target multiple antigens at once, are emerging as promising therapeutic entities to offer more effective treatment than conventional monoclonal antibodies (mAbs). However, these highly complex mAb formats pose significant analytical challenges. We report here on the characterization of a trispecific antibody (tsAb), which presents two isomeric forms clearly separated and identified with size exclusion chromatography coupled to native mass spectrometry (SEC-nMS). Previous studies showed that these isomers might originate from a proline cis/trans isomerization in one Fab subunit of the tsAb. We combined several innovative ion mobility (IM)-based approaches to confirm the isomeric nature of the two species and to gain new insights into the conformational landscape of both isomers. Preliminary SEC-nIM-MS measurements performed on a low IM resolution instrument provided the first hints of the coexistence of different conformers, while complementary collision-induced unfolding (CIU) experiments evidenced distinct gas-phase unfolding behaviors upon activation for the two isomers. As subtle conformational differences remained poorly resolved on our early generation IM platform, we performed high-resolution cyclic IM (cIM-MS) to unambiguously conclude on the coexistence of two conformers. The cis/trans equilibrium was further tackled by exploiting the IMn slicing capabilities of the cIM-MS instrument. Altogether, our results clearly illustrate the benefits of combining state-of-the-art nMS and IM-MS approaches to address challenging issues encountered in biopharma. As engineered antibody constructs become increasingly sophisticated, CIU and cIM-MS methodologies undoubtedly have the potential to integrate the drug development analytical toolbox to achieve in-depth conformational characterization of these products.

Multi-attribute method based characterization of antibody drug conjugates (ADC) at the intact and subunit levels.

Antibody-drug conjugates (ADCs) represent an important class of new biopharmaceutical modalities. ADCs are highly complex and heterogeneous molecules, potentially containing numerous product-related structures, that can contribute to the quality, efficacy and safety of the product. To keep up with product life cycle related changes, wide-range and targeted characterization of product quality attributes (PQA) are of high demand. Multi-attribute methods (MAM) can screen numerous PQAs in a parallel fashion including product properties as well as product and process-related impurities. MAM is usually based on a bottom-up approach relying on the enzymatic digestion of the protein into peptides prior to mass spectrometry (MS). However, this processing workflow can result in considerable information loss, such as the drug distribution profile of an antibody-drug conjugate. Therefore, complementary MAM approaches, based on subunit and intact mass analyses, are necessary approaches offering the advantage of product identity confirmation, quantification of the different conjugated species and monitoring the drug-to-antibody ratio at the same time. In this work we introduce a high throughput MS based attribute tracking method for ADC characterization at the intact and subunit levels by simultaneously monitoring multiple PQAs. The workflow includes sample preparation and MS instrument suitability testing for heterogeneous lysine-linked ADCs, software solutions for routine PQAs tracking, method repeatability and an easy data review fitting perfectly into high throughput analyses. As methionine oxidation is one of the modifications that should be closely monitored at any step of process development, an important application to oxidative stress evaluation using forced degradation demonstrated the applicability of the workflow.

A combined transcriptome and proteome analysis extends the allergome of house dust mite Dermatophagoides species.

BACKGROUND: House dust mites (HDMs) such as Dermatophagoides farinae and D. pteronyssinus represent major causes of perennial allergy. HDM proteomes are currently poorly characterized, with information mostly restricted to allergens. As of today, 33 distinct allergen groups have been identified for these 2 mite species, with groups 1 and 2 established as major allergens. Given the multiplicity of IgE-reactive mite proteins, potential additional allergens have likely been overlooked. OBJECTIVE: To perform a comprehensive characterization of the transcriptomes, proteomes and allergomes of D. farinae and D. pteronyssinus in order to identify novel allergens. METHODS: Transcriptomes were analyzed by RNA sequencing and de novo assembly. Comprehensive mass spectrometry-based analyses proteomes were combined with two-dimensional IgE reactivity profiling. RESULTS: Transcripts from D. farinae and D. pteronyssinus were assembled, translated into protein sequences and used to populate derived sequence databases in order to inform immunoproteomic analyses. A total of 527 and 157 proteins were identified by bottom-up MS analyses in aqueous extracts from purified HDM bodies and fecal pellets, respectively. Based on high sequence similarities (>71% identity), we also identified 2 partial and 11 complete putative sequences of currently undisclosed D. pteronyssinus counterparts of D. farinae registered allergens. Immunoprofiling on 2D-gels revealed the presence of unknown 23 kDa IgE reactive proteins in both species. Following expression of non-glycosylated recombinant forms of these molecules, we confirm that these new allergens react with serum IgEs from 42% (8/19) of HDM-allergic individuals. CONCLUSIONS: Using combined transcriptome and immunoproteome approaches, we provide a comprehensive characterization of D. farinae and D. pteronyssinus allergomes. We expanded the known allergen repertoire for D. pteronyssinus and identified two novel HDM allergens, now officially referred by the International Union of Immunological Societies (IUIS) Nomenclature Subcommittee as Der f 36 and Der p 36.

Proteomics for Allergy: from Proteins to the Patients.

Proteomics encompasses a variety of approaches unraveling both the structural features, post-translational modifications, and abundance of proteins. As of today, proteomic studies have shed light on the primary structure of about 850 allergens, enabling the design of microarrays for improved molecular diagnosis. Proteomic methods including mass spectrometry allow as well to investigate protein-protein interactions, thus yielding precise information on critical epitopes on the surface of allergens. Mass spectrometry is now being applied to the unambiguous identification, characterization, and comprehensive quantification of allergens in a variety of matrices, as diverse as food samples and allergen immunotherapy drug products. As such, it represents a method of choice for quality testing of allergen immunotherapy products.

Allergen extracts for immunotherapy: to mix or not to mix?

Allergen immunotherapy (AIT) is established as a curative treatment for allergic rhinitis, asthma, as well as insect venom allergy. AIT is based on the administration of natural allergen extracts via the subcutaneous or sublingual routes to reorient the immune system towards tolerogenic mechanisms. In this regard, since many patients are poly-allergic, mixtures of allergen extracts are often used with a potential risk to cause allergen degradation, thereby affecting treatment efficacy. Herein, we discuss the advantages and drawbacks of mixing homologous (i.e., related) or heterogeneous (i.e., unrelated) allergen extracts. We provide evidence for incompatibilities between mixes of grass pollen and house dust mite extracts containing bodies and feces, and summarize critical points to consider when mixing allergen extracts for AIT.

Phage amplification and immunomagnetic separation combined with targeted mass spectrometry for sensitive detection of viable bacteria in complex food matrices.

We have developed and describe here for the first time a highly sensitive method for the fast and unambiguous detection of viable Escherichia coli in food matrices. The new approach is based on using label-free phages (T4), obligate parasites of bacteria, which are attractive for pathogen detection because of their inherent natural specificity and ease of use. A specific immunomagnetic separation was used to capture the progeny phages produced. Subsequently, T4 phage markers were detected by liquid chromatography coupled to targeted mass spectrometry. Combining the specificity of these three methodologies is of great interest in developing an alternative to conventional time-consuming culture-based technologies for the detection of viable bacteria for industrial applications. First, optimization experiments with phage T4 spiked in complex matrices (without a phage amplification event) were performed and demonstrated specific, sensitive, and reproducible phage capture and detection in complex matrices including Luria-Bertani broth, orange juice, and skimmed milk. The method developed was then applied to the detection of E. coli spiked in foodstuffs (with a phage amplification event). After having evaluated the impact of infection duration on assay sensitivity, we showed that our assay specifically detects viable E. coli in milk at an initial count of ≥1 colony-forming unit (cfu)/mL after an 8-h infection. This excellent detection limit makes our new approach an alternative to PCR-based assays for rapid bacterial detection.

Bacterial detection using unlabeled phage amplification and mass spectrometry through structural and nonstructural phage markers.

According to the World Health Organization, food safety is an essential public health priority. In this context, we report a relevant proof of feasibility for the indirect specific detection of bacteria in food samples using unlabeled phage amplification coupled to ESI mass spectrometry analysis and illustrated with the model phage systems T4 and SPP1. High-resolving power mass spectrometry analysis (including bottom-up and top-down protein analysis) was used for the discovery of specific markers of phage infection. Structural components of the viral particle and nonstructural proteins encoded by the phage genome were identified. Then, targeted detection of these markers was performed on a triple quadrupole mass spectrometer operating in the selected reaction monitoring mode. E. coli at 1 × 10(5), 5 × 10(5), and 1 × 10(6) CFU/mL concentrations was successfully detected after only a 2 h infection time by monitoring phage T4 structural markers in Luria-Bertani broth, orange juice, and French bean stew ("cassoulet") matrices. Reproducible detection of nonstructural markers was also demonstrated, particularly when a high titer of input phages was required to achieve successful amplification. This strategy provides a highly time-effective and sensitive assay for bacterial detection.

Comparison of approaches for purifying and desalting polymerase chain reaction products prior to electrospray ionization mass spectrometry.

We have compared the recovery and desalting efficiency of different methods (ethanol precipitation, dialysis/ultrafiltration, purification with commercial kits, anion-exchange chromatography) of purifying and desalting PCR products prior to analysis by high-resolution/high mass accuracy electrospray ionization mass spectrometry (LTQ-Orbitrap). The results support the use of anion-exchange chromatography, which shows excellent desalting efficiency with almost no adducts observed, along with a recovery of approximately 70% and the ability to purify approximately 10 samples in 45 min.