No patient is the same; lessons learned from antibody repertoire profiling in hospitalized severe COVID-19 patients (preprint)

Here, by using mass spectrometry-based methods IgG1 and IgA1 clonal repertoires were monitored quantitatively and longitudinally in more than 50 individual serum samples obtained from 17 COVID-19 patients admitted to intensive care units because of acute respiratory distress syndrome. These serological clonal profiles were used to examine how each patient reacted to a severe SARS-CoV-2 infection. All 17 donors revealed unique polyclonal repertoires and changes after infection. Substantial changes over time in the IgG1 and/or IgA1 clonal repertoires were observed in individual patients, with several new clones appearing following the infection, in a few cases leading to a few very high abundant IgG1 and/or IgA1 clones dominating the repertoire. Several of these clones were de novo sequenced through combinations of top-down, middle-down and bottom-up proteomics approaches. This revealed several sequence features in line with sequences deposited in the SARS-CoV-specific database of antibodies. In other patients, the serological Ig profiles revealed the treatment with tocilizumab, as after treatment, this IgG1-mAb dominated the serological IgG1 repertoire. Tocilizumab clearance could be monitored and a half-life of approximately 6 days was established in these patients. Overall, our longitudinal monitoring of IgG1 and IgA1 repertoires of individual donors reveals that antibody responses are highly personalized traits of each patient, affected by the disease and the chosen clinical treatment. The impact of these observations argues for a more personalized and longitudinal approach in patients diagnostics, both in serum proteomics as well as in monitoring immune responses.

Bispecific antibodies combine breadth, potency, and avidity of parental antibodies to neutralize sarbecoviruses (preprint)

SARS-CoV-2 mutational variants evade humoral immune responses elicited by vaccines and current monoclonal antibody (mAb) therapies. Novel antibody-based treatments will thus need to exhibit broad neutralization against different variants. Bispecific antibodies (bsAbs) combine the specificities of two distinct antibodies into one antibody taking advantage of the avidity, synergy and cooperativity provided by targeting two different epitopes. Here we used controlled Fab-arm exchange (cFAE), a versatile and straightforward method, to produce bsAbs that neutralize SARS-CoV and SARS-CoV-2 variants, including Omicron and its subvariants, by combining potent SARS-CoV-2-specific neutralizing antibodies with broader but less potent antibodies that also neutralize SARS-CoV. We demonstrate that the parental IgG's rely on avidity for their neutralizing activity by comparing their potency to bsAbs containing one irrelevant "dead" Fab arm. We used single particle mass photometry to measure formation of antibody:spike complexes, and determined that bsAbs increase binding stoichiometry compared to corresponding cocktails, without a loss of binding affinity. The heterogeneous binding pattern of bsAbs to spike (S), observed by negative-stain electron microscopy and mass photometry provided evidence for both intra- and inter-spike crosslinking. This study highlights the utility of cross-neutralizing antibodies for designing bivalent or multivalent agents to provide a robust activity against circulating variants, as well as future SARS-like coronaviruses.

IgG1 responses following SARS-CoV-2 infection are polyclonal and highly personalized, whereby each donor and each clone displays a distinct pattern of cross-reactivity against SARS-CoV-2 variants (preprint)

Using a recently introduced efficient mass spectrometry-based approach we monitored in molecular detail the IgG1 clonal responses in individual donors' IgG1 clonal responses in molecular detail, examining SARS-CoV-2 spike-protein-specific IgG1 repertoires. We monitored the plasma clonal IgG1 profiles of 8 donors (4 male and 4 female) who had recently experienced an infection by either the wild type Wuhan Hu-1 virus or one of 3 VOCs (Alpha, Beta and Gamma). In these donors we charted the full plasma IgG1 repertoires as well as the IgG1 repertoires targeting the SARS-CoV-2 spike protein trimer as antigen. We observed that shortly after infection in between <0.1% to almost 10% of all IgG1 antibody molecules present in plasma did bind to the spike protein. Each donor displayed a unique plasma IgG1 repertoire, but also each donor displayed a unique and polyclonal antibody response against the SARS-CoV-2 spike-protein variants. Our analyses revealed that certain clones exhibit (alike) binding affinity towards all four tested spike-protein variants, whereas other clones displayed strong unique mutant-specific affinity. We conclude that each infected person generates a unique polyclonal response following infection, whereby some of these clones can bind multiple viral variants, whereas other clones do not display such cross-reactivity. In general, by assessing IgG1 repertoires following infection it becomes possible to identify and select fully matured human plasma antibodies that target specific antigens, and display either high specificity or cross-reactivity versus mutated versions of the antigen, which will aid in selecting antibodies that may be developed into biotherapeutics.

Probing Affinity, Avidity, Anti-Cooperativity, and Competition in Antibody and Receptor Binding to the SARS-CoV-2 Spike by Single Particle Mass Analyses (preprint)

Determining how antibodies interact with the spike (S) protein of the SARS-CoV-2 virus is critical for combating COVID-19. Structural studies typically employ simplified, truncated constructs that may not fully recapitulate the behaviour of the original complexes. Here, we combine two single particle mass analysis techniques (mass photometry and charge-detection mass spectrometry) to enable measurement of full IgG binding to the trimeric SARS-CoV-2 S ectodomain. Our experiments reveal that antibodies targeting the S-trimer typically prefer stoichiometries lower than the symmetry-predicted 3:1 binding. We determine that this behaviour arises from the interplay of steric clashes and avidity effects that are not reflected in common antibody constructs (i.e. Fabs). Surprisingly, these sub-stoichiometric complexes are fully effective at blocking ACE2 binding despite containing free receptor binding sites. Our results highlight the importance of studying antibody/antigen interactions using complete, multimeric constructs and showcase the utility of single particle mass analyses in unraveling these complex interactions.

Is there a serum proteome signature to predict mortality in severe COVID-19 patients? (preprint)

Here we recorded serum proteome profiles of 33 COVID-19 patients admitted to respiratory and intensive care units because of respiratory failure. We received, for most patients, blood samples just after admission and at two more later timepoints. We focused on serum proteins different in abundance between the group of survivors and non-survivors and observed that a rather small panel of about a dozen proteins were significantly different in abundance between these two groups. The four structurally and functionally related type-3 cystatins AHSG, FETUB, HRG and KNG1 were all more abundant in the survivors. The family of inter-α-trypsin inhibitors, ITIH1, ITIH2, ITIH3 and ITIH4, were all found to be differentially abundant in between survivors and non-survivors, whereby ITIH1 and ITIH2 were more abundant in the survivor group and ITIH3 and ITIH4 more abundant in the non-survivors. ITIH1/ITIH2 and ITIH3/ITIH4 also did show opposite trends in protein abundance during disease progression. This panel of eight proteins, complemented with a few more, may represent a panel for mortality risk assessment and eventually even for treatment, by administration of exogenous proteins possibly aiding survival. Such administration is not unprecedented, as administration of exogenous inter-α-trypsin inhibitors is already used in the treatment of patients with severe sepsis and Kawasaki disease. The mortality risk panel defined here is in excellent agreement with findings in two recent COVID-19 serum proteomics studies on independent cohorts, supporting our findings. This panel may not be unique for COVID-19, as some of the proteins here annotated as mortality risk factors have previously been annotated as mortality markers in aging and in other diseases caused by different pathogens, including bacteria.

Human Plasma IgG1 Repertoires are Simple, Unique, and Dynamic (preprint)

The human body produces a vast variety of circulating immunoglobulins (Igs) to recognize and combat pathogens and other non-self molecular components. In human plasma the most abundant class of Igs is the immunoglobulin G subclass I (IgG1) 1. Through somatic recombination and hypermutation, our bodies can theoretically produce several billions of distinct IgG1 variants 2,3. The theoretically available IgG1 repertoire thereby far exceeds the physical number of memory B cells available 4. The theoretical possibilities are highly suggestive of a vastly complex IgG1 plasma repertoire, but here we show that in all studied individuals, this repertoire is dominated by only a few dozens of clones. Our data indicate that each person’s IgG1 repertoire is distinctly unique, representing a personalized barcode. We sequentially measured IgG1 repertoires of critically ill individuals with hospital-acquired sepsis, revealing the occurrence and disappearance of specific IgG1 clones during the evolution of the disease. We demonstrate here that 1) personalized IgG1 profiling by LC-MS is feasible, 2) each person exhibits a unique serological IgG1 repertoire, 3) this repertoire adapts to changes in physiology, and 4) that individual plasma IgG clones can be de novo sequenced by integrative protein-centric and peptide-centric proteomic approaches. We foresee that the presented mass spectrometric approach will accommodate more rapid development of monoclonal antibody treatments, immediately assessing fully human, matured, and optimized molecules. The potential of repertoires from disease survivors can then be used to prevent disease excesses, as was demonstrated for Ebola 5-7, and is the hope for the current COVID-19 pandemic.

Breastmilk; a source of SARS-CoV-2 specific IgA antibodies (preprint)

Background: Since the outbreak of COVID-19, many put their hopes in the rapid development of effective immunizations. For now patient isolation, physical distancing and good hygiene are the sole measures for prevention. Processed breast milk with antibodies against SaRS-CoV-2 may serve as additional protection. We aimed to determine the presence and neutralization capacity of antibodies against SaRS-CoV-2 in breastmilk of mothers who have recovered from COVID-19. Methods: This prospective case control study included lactating mothers, recovered from (suspected) COVID-19 and healthy controls. Serum and breastmilk was collected. To assess the presence of antibodies in breastmilk and serum, we used multiple complementary assays, namely ELISA with the SARS-CoV-2 spike protein, SARS-CoV-2 receptor binding domain (RBD) and with the SARS-CoV-2 nucleocapsid (N) protein for IgG and bridging ELISA with the SARS-CoV-2 RBD and N protein for total Ig. To assess the effect of pasteurization breastmilk was exposed to Holder Pasteurization and High Pressure Pasteurization. Results: Breastmilk contained antibodies against SARS-CoV-2 using any of the assays in 24 out of 29 (83%) proven cases, in six out of nine (67%) suspected cases and in none of the 13 controls. In vitro neutralization of SARS-CoV-2 clinical isolate virus strain was successful in a subset of serum (13%) and milk samples (26%). Although after pasteurization of the milk SARS-CoV-2 antibodies were detected with both methods of pasteurization, virus neutralizing capacity of those antibodies was only retained with the HPP approach. Conclusion: Breastmilk of mothers who recovered from COVID-19 contains significant amounts of IgA against SARS-CoV-2, both before and after pasteurization.