PMID- 38291955 OWN - NLM STAT- MEDLINE DCOM- 20240201 LR - 20240206 IS - 1547-6901 (Electronic) IS - 1547-691X (Linking) VI - 21 IP - 1 DP - 2024 Dec TI - Identification and semi-quantification of protein allergens in complex mixtures using proteomic and AllerCatPro 2.0 bioinformatic analyses: a proof-of-concept investigation. PG - 2305452 LID - 10.1080/1547691X.2024.2305452 [doi] AB - The demand for botanicals and natural substances in consumer products has increased in recent years. These substances usually contain proteins and these, in turn, can pose a risk for immunoglobulin E (IgE)-mediated sensitization and allergy. However, no method has yet been accepted or validated for assessment of potential allergenic hazards in such materials. In the studies here, a dual proteomic-bioinformatic approach is proposed to evaluate holistically allergenic hazards in complex mixtures of plants, insects, or animal proteins. Twelve commercial preparations of source materials (plant products, dust mite extract, and preparations of animal dander) known to contain allergenic proteins were analyzed by label-free proteomic analyses to identify and semi-quantify proteins. These were then evaluated by bioinformatics using AllerCatPro 2.0 (https://allercatpro.bii.a-star.edu.sg/) to predict no, weak, or strong evidence for allergenicity and similarity to source-specific allergens. In total, 4,586 protein sequences were identified in the 12 source materials combined. Of these, 1,665 sequences were predicted with weak or strong evidence for allergenic potential. This first-tier approach provided top-level information about the occurrence and abundance of proteins and potential allergens. With regards to source-specific allergens, 129 allergens were identified. The sum of the relative abundance of these allergens ranged from 0.8% (lamb's quarters) to 63% (olive pollen). It is proposed here that this dual proteomic-bioinformatic approach has the potential to provide detailed information on the presence and relative abundance of allergens, and can play an important role in identifying potential allergenic hazards in complex protein mixtures for the purposes of safety assessments. FAU - Krutz, Nora L AU - Krutz NL AD - NV Procter & Gamble Services Company SA, Global Product Stewardship, Strombeek-Bever, Belgium. FAU - Kimber, Ian AU - Kimber I AD - Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK. FAU - Winget, Jason AU - Winget J AD - The Procter & Gamble Company, Mason, OH, USA. FAU - Nguyen, Minh N AU - Nguyen MN AD - Agency for Science, Technology and Research (A*STAR), Bioinformatics Institute, Singapore, Singapore. FAU - Limviphuvadh, Vachiranee AU - Limviphuvadh V AD - Agency for Science, Technology and Research (A*STAR), Bioinformatics Institute, Singapore, Singapore. FAU - Maurer-Stroh, Sebastian AU - Maurer-Stroh S AD - Agency for Science, Technology and Research (A*STAR), Bioinformatics Institute, Singapore, Singapore. AD - Yong Loo Lin School of Medicine and Department of Biological Sciences, National University of Singapore (NUS), Singapore, Singapore. FAU - Mahony, Catherine AU - Mahony C AD - Procter & Gamble, Global Product Stewardship, Egham, UK. FAU - Gerberick, G Frank AU - Gerberick GF AD - GF3 Consultancy LLC, West Chester, OH, USA. LA - eng PT - Journal Article DEP - 20240131 PL - England TA - J Immunotoxicol JT - Journal of immunotoxicology JID - 101201960 RN - 0 (Allergens) RN - 0 (Proteins) SB - IM MH - Animals MH - *Allergens MH - Proteomics MH - Proteins MH - Amino Acid Sequence MH - *Hypersensitivity OTO - NOTNLM OT - IgE OT - Protein allergenicity OT - botanicals OT - natural substances OT - risk assessment EDAT- 2024/01/31 06:43 MHDA- 2024/02/01 06:42 CRDT- 2024/01/31 03:42 PHST- 2024/02/01 06:42 [medline] PHST- 2024/01/31 06:43 [pubmed] PHST- 2024/01/31 03:42 [entrez] AID - 10.1080/1547691X.2024.2305452 [doi] PST - ppublish SO - J Immunotoxicol. 2024 Dec;21(1):2305452. doi: 10.1080/1547691X.2024.2305452. Epub 2024 Jan 31.