Department of Pathology, Harvard Medical School, Boston, Massachusetts, USA.
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Published August 1, 2005 - More info
The distinction between peptides that bind to class II MHC products under laboratory conditions and those that do so physiologically is important for the prediction of antigens recognized by autoreactive T cells. In this issue of the JCI, Suri et al., using antigen-presenting cells, compared the peptides that bound to human HLA-DQ8 and those that bound to mouse I-Ag7, both class II MHC products that predispose their carriers to type 1 diabetes. The rules of engagement for the peptide ligands of the DQ8 and I-Ag7 molecules involve similarities in their anchor residues, which mediate stable interaction with class II MHC products. The peptides identified derive from overlapping sets of self proteins.
The single most important genetic factor that predisposes to autoimmune disease is the MHC. In the case of type 1 diabetes, individuals who carry the MHC class II HLA-DQ8 allele are more likely to contract the disease than those who do not, and other alleles at the class II loci (HLA-DR3, HLA-DR4) can predispose to this disease as well. The predominant contribution of the MHC to disease susceptibility is mirrored in the available animal models of autoimmune disease, including diabetes.
In the absence of experiments conducted on humans, the appropriateness of various animal models as stand-ins for human disease continues to be called into question. In mice and humans, the MHC products are very similar in their 3-dimensional structure, although they are no more than 70% identical in amino acid sequence. Different residues constitute the peptide-binding pocket in the different molecules, and so congruence in the fine specificities of peptide binding would be an unexpected result. Indeed, the peptide sequence motifs that characterize interactions of class I MHC molecules and their peptide ligands reveal little overlap between humans and mice, a feature compounded by the differences in substrate specificity of the human and murine peptide transporters that serve the class I molecules.
Class II MHC allelic products that carry an aspartic acid residue at position 57 of the β chain are protective against type 1 diabetes, whereas the human HLA-DQ8 (hereafter referred to as DQ8) and the NOD mouse class II MHC molecule I-Ag7 lack this particular residue and so predispose to disease. Such predisposition must ultimately be traced to the peptides bound and presented to T cells. In this issue of the JCI, Suri and coworkers now show that the DQ8 and I-Ag7 molecules, notwithstanding their sequence divergence, both engage in very similar modes of peptide binding (1). This binding is specific and concerns many peptides that bind to both the human and the murine class II MHC product. This statement can be made with some confidence, because the class II MHC molecules compared, DQ8 and I-Ag7, were produced in murine cells of identical genetic background. Still, it is not clear to what extent the presence of the murine H-2M product, involved in dislodging invariant chain remnants and in editing of the class II MHC–bound peptide repertoire, affects the sets of peptides installed in the heterologous DQ8 molecule and might make a contribution to this homogenization.
A major point of debate remains the distinction between the peptides that can bind to MHC products and those that do so under natural circumstances, which may then be recognized in the course of a normal immune response. Spoiled by the availability of predictive algorithms of ever increasing accuracy and the ease of incorporation of peptide ligands into MHC tetramers, those researchers who study class I MHC products have had a good run of it. They can readily verify the presence and measure the frequency of peptide-specific CD8 T cells. Unfortunately, class II MHC molecules are not so readily reconstituted from recombinant subunits, and the numbers of class II tetramers available for analysis of CD4+ T cells pales in comparison to the catalog of class I MHC tetramers. This limits estimates of the frequencies with which peptide-specific CD4+ T cells occur, and clearly we need accurate information on naturally processed peptides complexed with class II MHC molecules.
The work of Suri et al. (1) now provides a comprehensive data set for peptides bound to the diabetogenic class II MHC products DQ8 and I-Ag7. The authors show, first, that alternative strategies used earlier to identify potential binders don’t necessarily yield the naturally processed peptides. Any predictive or experimental scheme that fails to take into account what antigen-presenting cells are capable of producing will confound the picture. In passing, it should be noted that even naturally processed peptides that bind to MHC products may well be invisible from a mature T cell’s perspective: the class I ligand FAPGNYPAL is presented by H-2Kb in Sendai virus–infected cells, but, notwithstanding the ability of H-2Db to bind this peptide strongly, no H-2Db–restricted, FAPGNYPAL-restricted CD8+ T cells seem to be activated in the course of a Sendai virus infection (2). There is no reason to assume the situation would be different for class II–restricted responses.
Suri and coworkers not only compiled a catalog of naturally processed peptides but also provide an in-depth analysis of their mode of binding (1). The good news is that the DQ8 and I-Ag7 molecules march to the same drumbeat where peptide binding is concerned: similar source antigens, similar anchor residues, and hence similar peptides are presented. This should be a source of considerable relief to those who study the NOD mouse as a model for human type 1 diabetes. There are discrepancies between the pools of peptides identified as being able to bind to class II MHC molecules by phage display and peptide library–based methods and those retrieved as naturally processed fragments. Consequently, the architecture of the peptide-binding pocket alone cannot account for the remarkable convergence of peptides bound by DQ8 and I-Ag7. The most striking feature of this interaction is the near omnipresence of an acidic residue at position 9 (P9) (Figure 1) for both DQ8 and I-Ag7 ligands. In addition, there is what appears to be a highly significant clustering of such acidic residues C-terminal to P9. These acidic residues contribute to interactions outside of the peptide-binding groove proper.
Peptide ligands for the class II MHC products I-Ag7 (mouse) and HLA-DQ8 (human). The central core of the peptide ligand is indicated in bold colors; anchor residues are shown in dark blue (at P1, P4, P6) and red (at P9). The amino acid residues preferred at the key anchor positions are indicated in single letter code, with the size of the letter proportional to the frequency of its occurrence. At P9, acidic residues (glutamic acid [E] and aspartic acid [D]) are universally preferred and account for greater than 90% of the amino acid residues found at that position. C-terminal of P9, acidic residues (aspartic acid, glutamic acid) are preferred as well. Their frequencies are shown as a percentage of the total number of peptides analyzed that carry an acidic residue at the indicated position. A, alanine; I, isoleucine; L, leucine; Q, glutamine; S, serine; V, valine.
A robust method for analyzing naturally processed peptides will be very useful in dissecting the complex response against pancreatic self antigens. In humans, presentation of diabetogenic epitopes is of course not limited to the DQ8 molecule, as evidenced by the recently identified DR4-restricted insulin A 1–15 epitope (3).
What these approaches cannot take into consideration is the tortuous pathway by which class II MHC molecules reach the destination where newly generated peptide pools are made available for binding to them. Absent from the discussion is the obvious consideration of protease specificity: if lysosomal proteases that generate the class II MHC ligands were to display preferred cleavage sites, then the pools of peptides made available to class II molecules would be biased. However, this has never been a popular notion in view of the redundancy, in terms of substrate specificity, of lysosomal proteases. There are examples to the contrary, however: asparagine-specific endoprotease is indeed remarkably selective in the peptide bonds it cleaves, and the enzyme has been implicated in the generation, in a highly selective fashion, of class II MHC–restricted epitopes (4). Nonetheless, there are very few examples of antigens for which the processing pathway has been characterized comprehensively in terms of intermediates and the proteases that generate them. It may well be that the convergence in peptide binding, observed for DQ8 and I-Ag7, produced by the identical types of antigen-presenting cells, owes at least a component of this repertoire to shared enzymatic machinery upstream. As Suri et al. state (1), expression levels of the source antigen and the possibilities of encounter with the entire processing and peptide loading apparatus are certainly going to affect the final outcome, in terms of the MHC-peptide complexes produced. The best map of a landscape is the landscape itself: seen from this perspective, the comprehensive data set presented here by Suri and coworkers will allow others to navigate the territory of autoimmunity with an accurate map in hand.
See the related article beginning on page 2268.
Nonstandard abbreviations used: P9, position 9.
Conflict of interest: The author has declared that no conflict of interest exists.