Evidence map›Paper›PMID 41728751›Full record

ArticleImmunity, inflammation and disease2026

An In Silico Omics Investigation of the Lactobacillus Genus Complex for Allergenicity Mitigation.

Zahra Bigdeli, Ali Molaei, Nassim Rahmani, Zakie Mazhary, Najaf Allahyari Fard

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Article in Immunity, inflammation and disease, 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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5 · Who and what money

Authors and funding

5 authors.

Zahra BigdeliDepartment of Systems Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran.
Ali MolaeiDepartment of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Nassim RahmaniDepartment of Biology, Shiraz University, Shiraz, Iran.
Zakie MazharyDepartment of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Najaf Allahyari FardDepartment of Systems Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran.ORCID https://orcid.org/0000-0001-7590-5179

Funding

National Institute of Genetic Engineering and Biotechnology 021015-I-858
6 · The paper itself

Abstract

backgroundAmong the useful methods of immune response modulation, probiotics can be included. A delicate balance in the microbiome is of extreme importance for immune homeostasis, the composition of which is influenced by lifestyle and dietary habits. The aim of this study was to identify Lactobacillus strains with potential allergenicity-mitigating properties through comprehensive in silico analysis of their genomes and proteomes. Abrogation in such a balance may lead to the development of food allergy. So far, certain components in probiotics, including immunosuppressive motifs or metabolites like 17,18-epoxy eicosatetraenoic acid (17,18 EpETE), seem to have the potential to reduce prevalence. However, some bacterial proteins may be allergenic or may induce cross-reactivity.

methodsWe performed an in silico study over the 161 reference genomes and proteomes of Lactobacillus. We analyzed the presence of Nucleotide immunosuppressive motifs (NISM)s, calculated the per million frequency of bases, and checked for the presence of the CYP450 enzymes/stable allergen epitopes. This was evaluated using various bioinformatics tools like Uniprot proteomes, NCBI genomes, AlgPred, PeptideCutter, EMBOSS, and MAST.

resultsOur analysis identified Latilactobacillus sakei as a promising candidate, based on its genomic and proteomic features, for mitigating allergenicity.

conclusionsLatilactobacillus sakei might be a useful candidate for nutritional allergy management and related conditions. However, this potential requires verification through further experimental studies.

Indexed as

AllergensBacterial ProteinsFood HypersensitivityLactobacillusProbioticsComputational BiologyComputer SimulationCytochrome P-450 Enzyme SystemGenome, BacterialHumansImmunoinformaticsProteomeProteomicsAllergensBacterial ProteinsCytochrome P-450 Enzyme SystemProteomeCYP450food allergiesimmunosuppressive motifsLactobacillusprobiotics

Identifiers

PMID41728751
PMCPMC12928024

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