In silico prediction of peptides binding to multiple HLA-DR molecules accurately identifies immunodominant epitopes from gp43 of Paracoccidioides brasiliensis frequently recognized in primary peripheral blood mononuclear cell responses from sensitized individuals.
One of the major drawbacks limiting the use of synthetic peptide vaccines in genetically distinct populations is the fact that different epitopes are recognized by T cells from individuals displaying distinct major histocompatibility complex molecules. Immunization of mice with peptide (181-195) from the immunodominant 43 kDa glycoprotein of Paracoccidioides brasiliensis (gp43), the causative agent of Paracoccidioidomycosis (PCM), conferred protection against infectious challenge by the fungus. To identify immunodominant and potentially protective human T-cell epitopes in gp43, we used the TEPITOPE algorithm to select peptide sequences that would most likely bind multiple HLA-DR molecules and tested their recognition by T cells from sensitized individuals. The 5 most promiscuous peptides were selected from the gp43 sequence and the actual promiscuity of HLA binding was assessed by direct binding assays to 9 prevalent HLA-DR molecules. Synthetic peptides were tested in proliferation assays with peripheral blood mononuclear cells (PBMC) from PCM patients after chemotherapy and healthy controls. PBMC from 14 of 19 patients recognized at least one of the promiscuous peptides, whereas none of the healthy controls recognized the gp43 promiscuous peptides. Peptide gp43(180-194) was recognized by 53% of patients, whereas the other promiscuous gp43 peptides were recognized by 32% to 47% of patients. The frequency of peptide binding and peptide recognition correlated with the promiscuity of HLA-DR binding, as determined by TEPITOPE analysis. In silico prediction of promiscuous epitopes led to the identification of naturally immunodominant epitopes recognized by PBMC from a significant proportion of a genetically heterogeneous patient population exposed to P. brasiliensis. The combination of several such epitopes may increase the frequency of positive responses and allow the immunization of genetically distinct populations.
Iwai
Leo Kei
LK
Laboratory of Immunology, Heart Institute (Incor), Millenium Institutes, Brazil.
Yoshida
Márcia
M
Sidney
John
J
Shikanai-Yasuda
Maria Aparecida
MA
Goldberg
Anna Carla
AC
Juliano
Maria Aparecida
MA
Hammer
Jurgen
J
Juliano
Luiz
L
Sette
Alessandro
A
Kalil
Jorge
J
Travassos
Luiz Rodolpho
LR
Cunha-Neto
Edecio
E
D000465:Algorithms; D000946:Antigens, Fungal / Q000276:immunology*; D015496:CD4-Positive T-Lymphocytes / Q000276:immunology; D002455:Cell Division; D015331:Cohort Studies; D004797:Enzyme-Linked Immunosorbent Assay; D018984:Epitopes, T-Lymphocyte; D005656:Fungal Proteins / Q000276:immunology*; D006023:Glycoproteins / Q000276:immunology*; D006684:HLA-DR Antigens / Q000276:immunology*; D006801:Humans; D015151:Immunoblotting; D016056:Immunodominant Epitopes; D007963:Leukocytes, Mononuclear / Q000276:immunology* / Q000502:physiology; D010228:Paracoccidioides / Q000276:immunology*; D010229:Paracoccidioidomycosis / Q000276:immunology / Q000473:pathology; D010455:Peptides / Q000276:immunology / Q000378:metabolism*; D011237:Predictive Value of Tests
C103180:43 kDa protein, Paracoccidioides; D000946:Antigens, Fungal; D018984:Epitopes, T-Lymphocyte; D005656:Fungal Proteins; D006023:Glycoproteins; D006684:HLA-DR Antigens; D016056:Immunodominant Epitopes; D010455:Peptides