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“Immunoinformatic Identification of T-Cell and B-Cell Epitopes From Giardia lamblia Immunogenic Proteins as Candidates to Develop Peptide-Based Vaccines Against Giardiasis”
Abstract
Giardiasis is one of the most common gastrointestinal infections worldwide, mainly in developing countries. The etiological agent is the Giardia lamblia parasite. Giardiasis mainly affects children and immunocompromised people, causing symptoms such as diarrhea, dehydration, abdominal cramps, nausea, and malnutrition. In order to develop an effective vaccine against giardiasis, it is necessary to understand the host-Giardia interactions, the immunological mechanisms involved in protection against infection, and to characterize the parasite antigens that activate the host immune system. In this study, we identify and characterize potential T-cell and B-cell epitopes of Giardia immunogenic proteins by immunoinformatic approaches, and we discuss the potential role of those epitopes to stimulate the host´s immune system. We selected the main immunogenic and protective proteins of Giardia experimentally investigated. We predicted T-cell and B-cell epitopes using immunoinformatic tools (NetMHCII and BCPREDS). Variable surface proteins (VSPs), structural (giardins), metabolic, and cyst wall proteins were identified as the more relevant immunogens of G. lamblia. We described the protein sequences with the highest affinity to bind MHC class II molecules from mouse (I-A k and I-A d) and human (DRB1*03:01 and DRB1*13:01) alleles, as well as we selected promiscuous epitopes, which bind to the most common range of MHC class II molecules in human population. In addition, we identified the presence of conserved epitopes within the main protein families (giardins, VSP, CWP) of Giardia. To our knowledge, this is the first in silico study that analyze immunogenic proteins of G. lamblia by combining bioinformatics strategies to identify potential T-cell and B-cell epitopes, which can be potential candidates in the development of peptide-based vaccines. The bioinformatics analysis demonstrated in this study provides a deeper understanding of the Giardia immunogens that bind to critical molecules of the host immune system, such as MHC class II and antibodies, as well as strategies to rational design of peptide-based vaccine against giardiasis.
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“This immunoglobulin contributes to mucosal defense by limiting microbial and parasitic adhesion to intestinal epithelial cells, neutralizing toxins, supporting barrier integrity, and binding luminal antigens, including food allergens (Caudet et al. 2022; Garzon et al. 2021; Quintero et al. 2017).”
From Parasites and allergies: a complex bidirectional relationship from evolutionary origins to modern therapeutics (2026) · cites this paper as Garzon et al. 2021
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“In the interaction between G. intestinalis and the host immune system, secretory IgA (sIgA) plays an important protective role.”
From Parasites and allergies: a complex bidirectional relationship from evolutionary origins to modern therapeutics (2026) · cites this paper as Garzon et al. 2021
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Th17: An Effector CD4 T Cell Lineage with Regulatory T Cell Ties
Weaver, C. T., Harrington, L. E., Mangan, P. R., Gavrieli, M., & Murphy, K. M. (2006) · Immunity · doi:10.1016/j.immuni.2006.06.002 · Cited by 1,422
Peptide-Based Vaccines: Current Progress and Future Challenges
Malonis, R. J., Lai, J. R., & Vergnolle, O. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00472 · Cited by 602
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Cited by
Sorted by citations
Packi, K., Świerczewski, D., Klimczak, S., Ochab, D., Gałęziewska, J., Gromek, P., Kruczkowska, W., Płuciennik, E., Kałuzińska-Kołat, Ż., & Kołat, D. (2026) · Antonie van Leeuwenhoek · doi:10.1007/s10482-026-02425-4
Metadata
- Authors
- Garzon, T., Ortega-Tirado, D., Lopez-Romero, G., Alday, E., Robles-Zepeda, R. E., Garibay-Escobar, A., & Velazquez, C.
- Venue
- Frontiers in Cellular and Infection Microbiology
- Publisher
- Frontiers Media SA
- Published
- 2021-10-27
- Volume
- 11
- ISSN
- 2235-2988
- PMC
- PMC8579046
- Cited by
- 14
- References
- 2
- Funders
- Consejo Nacional de Ciencia y Tecnología
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: “Immunoinformatic Identification of T-Cell and B-Cell Epitopes From Giardia lamblia Immunogenic Proteins as Candidates to Develop Peptide-Based Vaccines Against Giardiasis”. https://app.cochat.ai/papers/10.3389/fcimb.2021.769446
- The paper
- Garzon, T., Ortega-Tirado, D., Lopez-Romero, G., Alday, E., Robles-Zepeda, R. E., Garibay-Escobar, A., & Velazquez, C. (2021). “Immunoinformatic Identification of T-Cell and B-Cell Epitopes From Giardia lamblia Immunogenic Proteins as Candidates to Develop Peptide-Based Vaccines Against Giardiasis”. Frontiers in Cellular and Infection Microbiology. https://doi.org/10.3389/fcimb.2021.769446