Concept

In order to have a functional gastric intrinsic factor (IF) that could evade the immune system, it first needs to carry mutations that would alter its ability to interact with autoantibodies, while effectively binding to vitamin B12. To achieve this objective, we selected the amino acids on the epitope of IF that binds to the autoantibodies [1][2]. With extensive literature backing [3][4][5] and using principles of rational design, we engineered a series of mutants to alter the binding and tested them against these antibodies. These mutants harboured mutations ranging from single to triple amino acid changes that were created sequentially.

Mutant_101 - S256T + K258R
Mutant_201 - S256T + Y262F
Mutant_301- S256T + V265I
Mutant_203 - K258R + Y262F
Mutant_10101 - S256T + K258R + Y262F
Mutant_20101 - S256T + K258R + V265I
Mutant_20201 - S256T + Y262F + V265I
Mutant_20203 - K258R + Y262F + V265I

Proof of Concept

In silico evidence

Our modelling investigations in AlphaFold [6] provided enough evidence that the substitutions of the amino acids on the epitope did not significantly alter the secondary structure, and hence leaving the conformation unchanged. This was a step in the right direction as it gave confidence to proceed with the mutagenesis in the wet lab.

We probed the docking of B12 to the binding cleft of the IF mutants using AutoDock Vina [7] as seen in the graphical description below. The scores and values revealed with high confidence that we retained or improved the avidity of its binding.

Mutated IF with B12 docked, mesh structure

Figure. Mutated IF (20201) with B12 docked, viewed as a mesh structure

Mutated IF with B12 docked, mesh structure

Figure. A graphical representation of the binding energies (kcal/mol) and dissociation constant (Kd, pM) values of the binding of B12 to wtIF and the mutants

In vitro investigations

Utilizing mammalian surface display technologies, we analyzed the binding of IF to B12 as well as the commercially available antibodies (Atlas Antibodies - Cat: HPA040774) produced against the particular epitope of our interest and another one which was not produced against this epitope (Sinobiological - Cat: 13544-R012). We employed the concept of surface display thereby achieving an extracellular display of IF for our antibody binding studies. In addition to that we required a mammalian system to enable the proper translation of the transfected protein. For this purpose, the IF gene sequence was first incorporated in a suitable plasmid that is ideal for high expression and display. Mutations were introduced in the gene by site-directed mutagenesis (SDM) which was followed by transformation and amplification of the successful mutants in bacteria.

The mammalian cell culture, being the final validation tool for our design, was the most important aspect of proof of concept for us! The purpose of the experiment was to investigate how the binding of antibodies to our mutant IFs differ compared to that of the wild type. As explained in the engineering page we used an iterative approach with parallel dry lab and recurring wet lab engineering cycles, to confirm the working of our engineered protein. Western blot assays confirmed that we were able to successfully achieve a high expression of our target protein in the HEK 293T cell lines. The antibody binding assays in immunocytochemistry hinted at the fact that one of our mutants, 20201, was able to successfully evade binding to epitope unspecific antibody when compared to its counterpart double mutant 201. More investigations are required to conclude whether the mutants evade the epitope specific antibodies or not.

Mutated IF with B12 docked, mesh structure

Picture. Antibody staining (red) of IF on the right side. On the left, DAPI staining along with IF is superimposed to visualise the surface expression of IF

Evidence for our Big-IF

Image analysis was performed to compare the fluorescence intensity of the binding of epitope unspecific antibody between mutant 20201 and mutant 201. Student T-test returned a p value which was less than 0.05 indicating that in mutant 20201 the binding of epitope unspecific antibody was very low. Our hypothesis is that the conversion of valine to isoleucine induced a structural change in the mutant protein causing a structural hindrance to epitope unspecific antibody binding. Since the only change was the introduction of new amino acids in the epitope region, this could be one of the reasons for the reduced binding.

We did observe a stronger B12 binding in the mutants as compared to the wild type in our in silico experiments. Eventhough matching scores and values obtained from the softwares like AlphaFold [6] increases the confidence in our hypothesis we were not able to observe it in vitro. Thus we need to work on the binding of the specific antibody and B12 to our mutated protein.

In line with this, we also evaluated the production efficiency of our mammalian protein in a bacterial system, E. coli. We only manage to breach small ground in establishing that we were able to induce the expression but, need more purification attempts to produce a functional and pure protein. We also performed immunogenicity studies to have a futuristic perspective of how our engineered protein would behave in our body.

Future perspectives to address the research question

Find the ideal concentration and incubation time for vitamin B12 binding using ELISA (enzyme-linked immunosorbent assay) and OD studies.
Investigate the IF-B12 binding at different pH in in-vitro and in-silico experiments.
Utilise the heightened expression level at 48 hours as supported by the WB.
Reconsider Human Embryonic Kidney cells (HEK293) in favour of Chinese Hamster Ovary (CHO) cells for protein production.
Reconsider transient transfection in favour of stable transfection technique and production of stable cell lines for achieving easier repeatability of the experiment.
Select succesfully transfected cells using Geneticin and refine it using sensitive and assay specific secondary antibodies.
Sort the displaying cells using a myc coupled magnetic beads technique to concentrate the cells.
Consider techniques like SPR (Surface Plasmon Resonance) for assessing B12 and IF binding.
Purify the autoimmune antibody from the patient's serum as there is no commercially available monoclonal antibody against the autoantibody binding region of IF for futher assays.
Perform molecular dynamics study for interactions between IF and B12 as well as IF and the autoantibodies.
Crystallise the protein structure of IF with autoantibody to open a lot of areas for silico experiments and modelling studies.
Iterate from the results obtained from in-silico experiments and in-vitro experiments for efficient optimisation.
Perform a GWAS (Genome-wide association studies) study on the populations with high incidence of Pernicious anemia to identify the differences in the genome level that establishes the phenotype.
Consider sequencing the genome of the patients to enable for a personalized medicine approach.

References

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    Structural study on ligand specificity of human vitamin B12 transporters
    Biochemical Journal, vol. 403, no. 3, pp. 431-440, 2007
    DOI: 10.1042/BJ20061394


  2. M. Wagstaff, A. Broughton and F. R. Jones
    The kinetics of intrinsic factor-vitamin B12 binding
    BBA - General Subjects, vol. 320, no. 2, pp. 406–415, 1973
    DOI:10.1016/0304-4165(73)90322-X


  3. F. Watanabe
    Vitamin B12 Sources and Bioavailability
    Exp Biol Med, vol. 232, pp. 1266–1274, 2007
    DOI: 10.3181/0703-MR-67


  4. J. Morales-Gutierrez, S. Díaz-Cortés, M. A. Montoya-Giraldo, and A. F. Zuluaga
    Toxicity induced by multiple high doses of vitamin B12 during pernicious anemia treatment: a case report Toxicity induced by multiple high doses of vitamin B12 during pernicious anemia treatment: a case report.
    Clinical Toxicology, vol. 58, no. 2, pp. 129-131, 2019
    DOI: 10.1080/15563650.2019.1606432


  5. P. H. Degnan, M. E. Taga, and A. L. Goodman
    Vitamin B12 as a Modulator of Gut Microbial Ecology.
    Cell Metabolism, vol. 20, no. 5, pp. 769–778, 2014
    DOI: 10.1016/J.CMET.2014.10.002


  6. J. Jumper, R. Evans, A. Pritzel, et al.
    Highly accurate protein structure prediction with AlphaFold
    Nature, vol. 596, pp. 583-589, 2021
    DOI: 10.1038/s41586-021-03819-2


  7. O. Trott and A. J. Olson
    AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading
    J Comput Chem., vol. 31, no. 2, pp. 455-461, 2009
    DOI: 10.1002/jcc.21334