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High-throughput screening (HTS)-based spectrophotometric direct peptide reactivity assay (Spectro-DPRA) to predict human skin sensitization potential
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cho, Sun-A | - |
dc.contributor.author | An, Susun | - |
dc.contributor.author | Park, Jae-Hak | - |
dc.date.accessioned | 2023-07-07T07:58:20Z | - |
dc.date.available | 2023-07-07T07:58:20Z | - |
dc.date.created | 2020-04-16 | - |
dc.date.created | 2020-04-16 | - |
dc.date.issued | 2019-10 | - |
dc.identifier.citation | Toxicology Letters, Vol.314, pp.27-36 | - |
dc.identifier.issn | 0378-4274 | - |
dc.identifier.uri | https://hdl.handle.net/10371/194753 | - |
dc.description.abstract | Some cosmetic ingredients can act as a chemical hapten to induce an immune response; therefore, evaluating the sensitizing potential of cosmetic ingredients is essential. We previously developed a novel in chemico direct peptide reactivity assay involving a spectrophotometric evaluation (Spectro-DPRA) for animal skin sensitization tests (local lymph node assay; LLNA). Based on previous research, we expanded the test materials to confirm the effectiveness of the Spectro-DPRA method for predicting the animal skin sensitization potential, and further determined the feasibility of the method for estimating the human skin sensitization potential. Spectro-DPRA showed 83.1% or 89.1% accuracy compared to a conventional LLNA or prediction based on human data, respectively, with a combination model using both a cysteine peptide and lysine peptide cut-off. To identify the effect of the lipophilicity of a chemical on predicting the skin sensitization potential, we applied our prediction model to chemicals with a Log P-ow range of -1 to 4. Overall predictability was increased, and the accuracy compared to the LLNA and human data was 91.5% and 94.9%, respectively, in the combination cut-off prediction model. In conclusion, Spectro-DPRA serves as an easy, rapid, and high-throughput in chemico screening method with high accuracy to predict the human skin sensitization potential of chemicals. | - |
dc.language | 영어 | - |
dc.publisher | Elsevier BV | - |
dc.title | High-throughput screening (HTS)-based spectrophotometric direct peptide reactivity assay (Spectro-DPRA) to predict human skin sensitization potential | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.toxlet.2019.07.014 | - |
dc.citation.journaltitle | Toxicology Letters | - |
dc.identifier.wosid | 000483428400004 | - |
dc.identifier.scopusid | 2-s2.0-85069718485 | - |
dc.citation.endpage | 36 | - |
dc.citation.startpage | 27 | - |
dc.citation.volume | 314 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Park, Jae-Hak | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.subject.keywordPlus | IN-VITRO PREDICTION | - |
dc.subject.keywordPlus | HUMAN SERUM-ALBUMIN | - |
dc.subject.keywordPlus | CONTACT ALLERGENS | - |
dc.subject.keywordPlus | GUINEA-PIG | - |
dc.subject.keywordPlus | CHEMICALS | - |
dc.subject.keywordPlus | IDENTIFICATION | - |
dc.subject.keywordPlus | PROTEIN | - |
dc.subject.keywordPlus | ADDUCTS | - |
dc.subject.keywordPlus | POTENCY | - |
dc.subject.keywordPlus | BINDING | - |
dc.subject.keywordAuthor | Skin sensitization | - |
dc.subject.keywordAuthor | Peptide reactivity | - |
dc.subject.keywordAuthor | Spectrophotometric | - |
dc.subject.keywordAuthor | Animal alternative | - |
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