Tumor-associated autoantibodies (AAbs) have been described in patients with lung cancer, and the EarlyCDT®-Lung test that measures such AAbs is available as an aid for the early detection of lung cancer in high-risk populations. Improvements in specificity would improve its cost-effectiveness, as well as reduce anxiety associated with false positive tests. Samples from 235 patients with newly diagnosed lung cancer and matched controls were measured for the presence of AAbs to a panel of six (p53, NY-ESO-1, CAGE, GBU4-5, Annexin I, and SOX2) or seven (p53, NY-ESO-1, CAGE, GBU4-5, SOX2, HuD, and MAGE A4) antigens. Data were assessed in relation to cancer type and stage. The sensitivity and specificity of these two panels were also compared in two prospective consecutive series of 776 and 836 individuals at an increased risk of developing lung cancer. The six-AAb panel gave a sensitivity of 39 % with a specificity of 89 %, while the seven-AAb panel gave a sensitivity of 41 % with a specificity of 91 % which, once adjusted for occult cancers in the population, resulted in a specificity of 93 %. Analysis of these AAb assays in the at-risk population confirmed that the seven-AAb panel resulted in a significant increase in the specificity of the test from 82 to 90 %, with no significant change in sensitivity. The change from a six- to a seven-AAb assay can improve the specificity of the test and would result in a PPV of 1 in 8 and an overall accuracy of 92 %.

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Isoniazid (INH, isonicotinic acid hydrazine) is one of only two therapeutic agents effective in treating tuberculosis. This prodrug is activated by the heme enzyme catalase peroxidase (KatG) endogenous to Mycobacterium tuberculosis but the mechanism of activation is poorly understood, in part because the binding interaction has not been properly established. The class I peroxidases ascorbate peroxidase (APX) and cytochrome c peroxidase (CcP) have active site structures very similar to KatG and are also capable of activating isoniazid. We report here the first crystal structures of complexes of isoniazid bound to APX and CcP. These are the first structures of isoniazid bound to any activating enzymes. The structures show that isoniazid binds close to the ␦-heme edge in both APX and CcP, although the precise binding orientation varies slightly in the two cases. A second binding site for INH is found in APX at the ␥-heme edge close to the established ascorbate binding site, indicating that the ␥-heme edge can also support the binding of aromatic substrates. We also show that in an active site mutant of soybean APX (W41A) INH can bind directly to the heme iron to become an inhibitor and in a different mode when the distal histidine is replaced by alanine (H42A). These structures provide the first unambiguous evidence for the location of the isoniazid binding site in the class I peroxidases and provide rationalization of isoniazid resistance in naturally occurring KatG mutant strains of M. tuberculosis.

Immunoinformatics is an emergent branch of informatics science that long ago pullulated from the tree of knowledge that is bioinformatics. It is a discipline which applies informatic techniques to problems of the immune system. To a great extent, immunoinformatics is typified by epitope prediction methods. It has found disappointingly limited use in the design and discovery of new vaccines, which is an area where proper computational support is generally lacking. Most extant vaccines are not based around isolated epitopes but rather correspond to chemically-treated or attenuated whole pathogens or correspond to individual proteins extract from whole pathogens or correspond to complex carbohydrate. In this chapter we attempt to review what progress there has been in an as-yet-underexplored area of immunoinformatics: the computational discovery of whole protein antigens. The effective development of antigen prediction methods would significantly reduce the laboratory resource required to identify pathogenic proteins as candidate subunit vaccines. We begin our review by placing antigen prediction firmly into context, exploring the role of reverse vaccinology in the design and discovery of vaccines. We also highlight several competing yet ultimately complementary methodological approaches: sub-cellular location prediction, identifying antigens using sequence similarity, and the use of sophisticated statistical approaches for predicting the probability of antigen characteristics. We end by exploring how a systems immunomics approach to the prediction of immunogenicity would prove helpful in the prediction of antigens.

Previous work [Sharp, K. H., et al. (2003) Nat. Struct. Biol. 10, 303-307] has revealed the location of the ascorbate binding site in ascorbate peroxidase and has identified hydrogen-bonding interactions to Arg172, Lys30, and the heme 6-propionate as important in formation of the enzyme-substrate complex. In this work, the individual and collective contributions of these hydrogen bond interactions have been dissected using site-directed mutagenesis, steady-state and pre-steady-state kinetics, X-ray crystallography, and modified substrate analogues. Steady-state and pre-steady-state kinetic data reveal that the hydrogen bonds to Arg172 and the heme 6-propionate play a major part in stabilization of the bound ascorbate but that the interaction with Lys30 plays only a minor role. Binding of aromatic substrates is not affected by substitutions at Arg172/Lys30. Neutralization or removal of electrostatic charge at (Lys30) or adjacent to (Lys31) the ascorbate site does not substantially disrupt the binding interaction. Substrate oxidation and reduction of Compounds I and II is still possible in the absence of Arg172, but at a much reduced level. Crystallographic data (to 1.8 A) for the R172A variant indicate that the molecular structure of the proposed [Sharp, K. H., et al. (2004) Biochemistry 43, 8644-8651] proton transfer pathway from the ascorbate to the heme is conserved, which accounts for the residual activity. The results are discussed in terms of our wider understanding of the structural features that control substrate binding specificity in other peroxidase enzymes.

Conformational mobility of the distal histidine residue has been implicated for several different heme peroxidase enzymes, but unambiguous structural evidence is not available. In this work, we present mechanistic, spectroscopic, and structural evidence for peroxide-and ligand-induced conformational mobility of the distal histidine residue (His-42) in a site-directed variant of ascorbate peroxidase (W41A). In this variant, His-42 binds "on" to the heme in the oxidized form, duplicating the active site structure of the cytochromes b but, in contrast to the cytochromes b, is able to swing "off" the iron during catalysis. This conformational flexibility between the on and off forms is fully reversible and is used as a means to overcome the inherently unreactive nature of the on form toward peroxide, so that essentially complete catalytic activity is maintained. Contrary to the widely adopted view of heme enzyme catalysis, these data indicate that strong coordination of the distal histidine to the heme iron does not automatically undermine catalytic activity. The data add a new dimension to our wider appreciation of structure/activity correlations in other heme enzymes.

Reduction potentials for the catalytic compound I/compound II and compound II/Fe3+ redox couples, and for the two-electron compound I/Fe3+ redox couple, have been determined for ascorbate peroxidase (APX) and for a number of site-directed variants. For the wild type enzyme, the values are E degrees '(compound I/compound II) = 1156 mV, E degrees '(compound II/Fe3+) = 752 mV, and E degrees '(compound I/Fe3+) = 954 mV. For the variants, the analysis also includes determination of Fe3+/Fe2+ potentials which were used to calculate (experimentally inaccessible) E degrees '(compound II/Fe3+) potentials. The data provide a number of new insights into APX catalysis. The measured values for E degrees '(compound I/compound II) and E degrees '(compound II/Fe3+) for the wild type protein account for the much higher oxidative reactivity of compound I compared to compound II, and this correlation holds for a number of other active site and substrate binding variants of APX. The high reduction potential for compound I also accounts for the known thermodynamic instability of this intermediate, and it is proposed that this instability can account for the deviations from standard Michaelis kinetics observed for most APX enzymes during steady-state oxidation of ascorbate. This study provides the first systematic evaluation of the redox properties of any ascorbate peroxidase using a number of methods, and the data provide an experimental and theoretical framework for accurate determination of the redox properties of Fe3+, compound I, and compound II species in related enzymes.

T cell receptor (TCR) recognition of peptide-MHC class I (pMHC) complexes is a crucial event in the adaptive immune response to pathogens. Peptide epitopes often display a strong dominance hierarchy, resulting in focusing of the response on a limited number of the most dominant epitopes. Such T cell responses may be additionally restricted by particular MHC alleles in preference to others. We have studied this poorly understood phenomenon using Theileria parva, a protozoan parasite that causes an often fatal lymphoproliferative disease in cattle. Despite its antigenic complexity, CD8+ T cell responses induced by infection with the parasite show profound immunodominance, as exemplified by the Tp1214–224 epitope presented by the common and functionally important MHC class I allele N*01301. We present a high-resolution crystal structure of this pMHC complex, demonstrating that the peptide is presented in a distinctive raised conformation. Functional studies using CD8+ T cell clones show that this impacts significantly on TCR recognition. The unconventional structure is generated by a hydrophobic ridge within the MHC peptide binding groove, found in a set of cattle MHC alleles. Extremely rare in all other species, this feature is seen in a small group of mouse MHC class I molecules. The data generated in this analysis contribute to our understanding of the structural basis for T cell-dependent immune responses, providing insight into what determines a highly immunogenic p-MHC complex, and hence can be of value in prediction of antigenic epitopes and vaccine design.