Evidence map›Paper›PMID 42018797›Full record

ArticleMemorias do Instituto Oswaldo Cruz2026

Immunoinformatic analysis for identifying immunogenic antigens from the complete proteome of Giardia lamblia.

David Ortega-Tirado, Carlos A Velazquez-Valdez, Thania Garzon, Leslie Bracamontes-Picos, Gloria Lopez-Romero, Carlos Velazquez

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Article in Memorias do Instituto Oswaldo Cruz, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

David Ortega-TiradoUniversidad de Sonora, Department of Chemistry-Biology, Hermosillo, Sonora, Mexico.
Carlos A Velazquez-ValdezUniversidad de Sonora, Department of Mathematics, Hermosillo, Sonora, Mexico.
Thania GarzonUniversidad de Sonora, Department of Chemistry-Biology, Hermosillo, Sonora, Mexico.
Leslie Bracamontes-PicosUniversidad de Sonora, Department of Chemistry-Biology, Hermosillo, Sonora, Mexico.
Gloria Lopez-RomeroUniversidad de Sonora, Department of Chemistry-Biology, Hermosillo, Sonora, Mexico.
Carlos VelazquezUniversidad de Sonora, Department of Chemistry-Biology, Hermosillo, Sonora, Mexico.ORCID http://orcid.org/0000-0002-3728-7848

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiardia lamblia is a parasite that infects humans. To date, there is no vaccine available for human giardiasis. Thus, discovering new immunogenic antigens is crucial for the rational design of a vaccine.

objectivesThis study aimed to identify the main immunogenic antigens of G. lamblia from its entire proteome using immunoinformatic and data science techniques. To our knowledge, this is the first study to systematically identify immunogenic antigens of G. lamblia across its complete proteome, providing a comprehensive map of potential immunogenic antigens.

methodsBriefly, FASTA sequences of G. lamblia isolates WB and GS were submitted to the NetMHCII 2.3 predictor. The analysis was conducted for five murine major histocompatibility complex (MHC)-II molecules: I-Ab, I-Ad, I-Ed, I-Ak, and I-Ek. Python 3.9 was used to develop custom code for data processing and analysis.

findingsWe identified 414 potential immunogenic polypeptides for isolate WB and 350 for isolate GS. For both isolates, most polypeptides contained peptides with high affinity for I-Ab and I-Ek. Notably, no polypeptides with high affinity for I-Ak were detected. Homologous potential immunogenic antigens (129 polypeptides) were identified in both isolates. The analysis revealed that 12 potential immunogenic polypeptides from isolate WB and 10 from isolate GS are part of the Giardia secretome. Additionally, promiscuous polypeptides that bind to at least two different MHC-II molecules were found in both isolates. MAIN

conclusionsThese findings lay a valuable foundation for the rational development of a vaccine against human giardiasis and show a computational strategy that can be applied to the study of other pathogens.

Indexed as

Antigens, ProtozoanGiardia lambliaProteomeAnimalsGiardiasisImmunoinformaticsMiceAntigens, ProtozoanProteome

Identifiers

PMID42018797
PMCPMC13090037

What Socratic holds

Textmetadata
LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.