Intact and subunit-specific analysis of bispecific antibodies by sheathless CE-MS

Bispecific antibodies (BsAb) are next-generation, antibody-based pharmaceuticals which come with a great functional versatility and often a vast structural heterogeneity. Although engineering of the primary sequence of BsAbs guides the proper pairing of the different chains, several side products can often be observed contributing to the macroheterogeneity of these products. Furthermore, changes in the amino acid sequence can result in different protein modifications which can affect the properties of the antibody and further increase the structural complexity. A multi-methods approach can be used for the characterization of their heterogeneity but new analytical strategies are needed for a more accurate and in-depth analysis.Here, we present a combination of intact antibody and subunit-specific mass measurements using sheathless capillary electrophoresis-mass spectrometry for assessing the macro- and microheterogeneity of BsAbs. Two homologous BsAbs with the same bispecificity but slightly different amino acid sequences were analyzed. Intact measurements were performed using a positively coated capillary and a background electrolyte (BGE) consisting of 3% acetic acid. For intact BsAbs, the separation permitted the characterization of free light chains, homo- and heterodimers as well as incomplete assemblies. For subunit-specific measurements, BsAbs were hinge region cleaved using two different enzymes (SpeB and IdeS) followed by disulfide-bond reduction. The six different subunits (Lc1, Lc2, Fd'1, Fd'2, (Fc/2)1 and (Fc/2)2) were separated using the same positively-coated capillary and a BGE consisting of 20% acetic acid and 10% methanol. Mass measurements of hinge region cleaved antibodies were performed at isotopic resolution (resolving power 140000 at m/z 1100) for a more confident analysis of low abundance proteoforms. For both BsAbs several proteoforms with e.g. pyroglutamic acid (Pyro-Glu) or glycation which could not be properly assigned at the intact level, were accurately determined in the subunits showing the complementarity of both approaches. (C) 2020 Elsevier B.V. All rights reserved.Proteomic

Glycan and protein analysis of glycoengineered bacterial E. coli vaccines by MALDI-in-source decay FT-ICR mass spectrometry

Bacterial glycoconjugate vaccines have a major role in preventing microbial infections. Immunogenic bacterial glycans, suchas O-antigen polysaccharides, can be recombinantly expressed and combined with specific carrier proteins to produce effective vaccines. O-Antigen polysaccharides are typically polydisperse, and carrier proteins can have multiple glycosylation sites. Consequently, recombinant glycoconjugate vaccines have a high structural heterogeneity, making their characterization challenging. Sincedevelopment and quality control processes rely on such character-ization, novel strategies are needed for faster and informative analysis.Here, we present a novel approach employing minimal samplepreparation and ultrahigh-resolution mass spectrometry analysis forprotein terminal sequencing and characterization of the oligosaccharide repeat units of bacterial glycoconjugate vaccines. Threeglycoconjugate vaccine candidates, obtained from the bioconjugation of the O-antigen polysaccharides fromE. coliserotypes O2,O6A, and O25B with the genetically detoxified exotoxin A fromPseudomonas aeruginosa, were analyzed by MALDI-in-source decay(ISD) FT-ICR MS. Protein and glycan ISD fragment ions were selectively detected using 1,5-diaminonaphtalene and a 2,5-dihydroxybenzoic acid/2-hydroxy-5-methoxybenzoic acid mixture (super-DHB) as a MALDI matrix, respectively. The analysis of protein fragments required the absence of salts in the samples, while the presence of salt was key for the detection of sodiated glycanfragments. MS/MS analysis of O-antigen ISD fragments allowed for the detection of specific repeat unit signatures. The developed strategy requires minute sample amounts, avoids the use of chemical derivatizations, and comes with minimal hands-on time allowing for fast corroboration of key structural features of bacterial glycoconjugate vaccines during early- and late-stage developmentProteomic

Glycoform-resolved Fc gamma RIIIa affinity chromatography-mass spectrometry

Proteomic

Chemical Synthesis and Immunological Evaluation of Fragments of the Multiantennary Group-Specific Polysaccharide of Group B Streptococcus.

Group B Streptococcus (GBS) is a Gram-positive bacterium and the most common cause of neonatal blood and brain infections. At least 10 different serotypes exist, that are characterized by their different capsular polysaccharides. The Group B carbohydrate (GBC) is shared by all serotypes and therefore attractive be used in a glycoconjugate vaccine. The GBC is a highly complex multiantennary structure, composed of rhamnose rich oligosaccharides interspaced with glucitol phosphates. We here report the development of a convergent approach to assemble a pentamer, octamer, and tridecamer fragment of the termini of the antennae. Phosphoramidite chemistry was used to fuse the pentamer and octamer fragments to deliver the 13-mer GBC oligosaccharide. Nuclear magnetic resonance spectroscopy of the generated fragments confirmed the structures of the naturally occurring polysaccharide. The fragments were used to generate model glycoconjugate vaccine by coupling with CRM197. Immunization of mice delivered sera that was shown to be capable of recognizing different GBS strains. The antibodies raised using the 13-mer conjugate were shown to recognize the bacteria best and the serum raised against this GBC fragment-mediated opsonophagocytic killing best, but in a capsule dependent manner. Overall, the GBC 13-mer was identified to be a highly promising antigen for incorporation into future (multicomponent) anti-GBS vaccines.Bio-organic Synthesi

Evaluation of COVID-19 impact on DELAYing diagnostic-therapeutic pathways of lung cancer patients in Italy (COVID-DELAY study): fewer cases and higher stages from a real-world scenario

Introduction: COVID-19 has disrupted the global health care system since March 2020. Lung cancer (LC) patients (pts) represent a vulnerable population highly affected by the pandemic. This multicenter Italian study aimed to evaluate whether the COVID-19 outbreak had an impact on access to cancer diagnosis and treatment of LC pts compared with pre-pandemic time. Methods: Consecutive newly diagnosed LC pts referred to 25 Italian Oncology Departments between March and December 2020 were included. Access rate and temporal intervals between date of symptoms onset and diagnostic and therapeutic services were compared with the same period in 2019. Differences between the 2 years were analyzed using the chi-square test for categorical variables and the Mann\u2013Whitney U test for continuous variables. Results: A slight reduction ( 126.9%) in newly diagnosed LC cases was observed in 2020 compared with 2019 (1523 versus 1637, P = 0.09). Newly diagnosed LC pts in 2020 were more likely to be diagnosed with stage IV disease (P < 0.01) and to be current smokers (someone who has smoked more than 100 cigarettes, including hand-rolled cigarettes, cigars, cigarillos, in their lifetime and has smoked in the last 28 days) (P < 0.01). The drop in terms of new diagnoses was greater in the lockdown period (percentage drop 1212% versus 123.2%) compared with the other months included. More LC pts were referred to a low/medium volume hospital in 2020 compared with 2019 (P = 0.01). No differences emerged in terms of interval between symptoms onset and radiological diagnosis (P = 0.94), symptoms onset and cytohistological diagnosis (P = 0.92), symptoms onset and treatment start (P = 0.40), and treatment start and first radiological revaluation (P = 0.36). Conclusions: Our study pointed out a reduction of new diagnoses with a shift towards higher stage at diagnosis for LC pts in 2020. Despite this, the measures adopted by Italian Oncology Departments ensured the maintenance of the diagnostic-therapeutic pathways of LC pts

D25V apolipoprotein C-III variant causes dominant hereditary systemic amyloidosis and confers cardiovascular protective lipoprotein profile

Apolipoprotein C-III deficiency provides cardiovascular protection, but apolipoprotein C-III is not known to be associated with human amyloidosis. Here we report a form of amyloidosis characterized by renal insufficiency caused by a new apolipoprotein C-III variant, D25V. Despite their uremic state, the D25V-carriers exhibit low triglyceride (TG) and apolipoprotein C-III levels, and low very-low-density lipoprotein (VLDL)/high high-density lipoprotein (HDL) profile. Amyloid fibrils comprise the D25V-variant only, showing that wild-type apolipoprotein C-III does not contribute to amyloid deposition in vivo. The mutation profoundly impacts helical structure stability of D25V-variant, which is remarkably fibrillogenic under physiological conditions in vitro producing typical amyloid fibrils in its lipid-free form. D25V apolipoprotein C-III is a new human amyloidogenic protein and the first conferring cardioprotection even in the unfavourable context of renal failure, extending the evidence for an important cardiovascular protective role of apolipoprotein C-III deficiency. Thus, fibrate therapy, which reduces hepatic APOC3 transcription, may delay amyloid deposition in affected patients

Effect of concomitant medications with immune-modulatory properties on the outcomes of patients with advanced cancer treated with immune checkpoint inhibitors: development and validation of a novel prognostic index

Background: Concomitant medications are known to impact on clinical outcomes of patients treated with immune checkpoint inhibitors (ICIs). We aimed weighing the role of different concomitant baseline medications to create a drug-based prognostic score. Methods: We evaluated concomitant baseline medications at immunotherapy initiation for their impact on objective response rate (ORR), progression-free survival (PFS) and overall survival (OS) in a single-institution cohort of patients with advanced cancer treated with ICIs (training cohort, N = 217), and a drug-based prognostic score with the drugs resulting significantly impacting the OS was computed. Secondly, we externally validated the score in a large multicenter external cohort (n = 1012). Results: In the training cohort (n = 217), the median age was 69 years (range: 32–89), and the primary tumours were non–small-cell lung cancer (70%), melanoma (14.7%), renal cell carcinoma (9.2%) and others (6%). Among baseline medications, corticosteroids (hazard ratio [HR] = 2.3; 95% confidence interval [CI]: 1.60–3.30), systemic antibiotics (HR = 2.07; 95% CI: 1.31–3.25) and proton-pump inhibitors (PPIs) (HR = 1.57; 95% CI: 1.13–2.18) were significantly associated with OS. The prognostic score was calculated using these three drug classes, defining good, intermediate and poor prognosis patients. Within the training cohort, OS (p < 0.0001), PFS (p < 0.0001) and ORR (p = 0.0297) were significantly distinguished by the score stratification. The prognostic value of the score was also demonstrated in terms of OS (p < 0.0001), PFS (p < 0.0001) and ORR (p = 0.0006) within the external cohort. Conclusion: Cumulative exposure to corticosteroids, antibiotics and PPIs (three likely microbiota-modulating drugs) leads to progressively worse outcomes after ICI therapy. We propose a simple score that can help stratifying patients in routine practice and clinical trials of ICIs

Big data and the real estate market: Benefits for public administrations and corporations

The problem of dealing with enormous databases is undoubtedly the new challenge that the scientific world needs to face to analyze a reality in continuous and fast development. In this paper, we focus the analysis on the Italian real estate phenomenon and how the administrative data are powerful in adding new information to the official statistics. The importance of the analysis we yield in this work is unique and original in its attempt to underline the opportunity that public management and real estate business can afford through a complete and harmonized data warehouse that needs Big Data analytic practice to be yielded. Our work is the first attempt in this sense

EEG indices of performance monitoring activity and error predictability: embodying the actions of an avatar in immersive virtual reality

Electro-cortical signatures of performance errors are thought to indicate the need for top-down control. Mid-frontal Theta oscillatory activity (4-8Hz) is a well-established marker of committed or observed errors. By combining EEG and immersive virtual reality, we reported that observing errors in reach-to-grasp actions of an avatar seen from a first-person perspective elicited greater theta oscillations over fronto-central electrodes (Pavone et al., 2016). Previous studies on committed or observed errors used sequences of trials were erroneous actions were less frequent than correct actions (e.g. 30% vs 70%). Therefore, it was not possible to disentangle whether the activation of the performance system was due to error per se or to surprise/novelty effect associated with rare and less predictable events. To address this issue, we recorded the EEG signal of 20 participants observing correct or erroneous actions performed by an avatar. Importantly, at variance with Pavone et al, (2016) the proportion of erroneous vs correct actions was 70% vs 30%. The results show that observation of erroneous actions enhanced Theta power compared to correct actions. Our data suggest that error per se, and not its percentage of occurrence, triggered the activity of the performance monitoring system, likely with the aim of flexibly adapting actions to the challenges of the external environment