Academic Journal
PIRCHE-II Risk and Acceptable Mismatch Profile Analysis in Solid Organ Transplantation
| Τίτλος: | PIRCHE-II Risk and Acceptable Mismatch Profile Analysis in Solid Organ Transplantation |
|---|---|
| Συγγραφείς: | Niemann, Matthias, Matern, Benedict M, Spierings, Eric, CDL Cluster Speciële Diagnostiek, Cancer, Infection & Immunity |
| Έτος έκδοσης: | 2024 |
| Θεματικοί όροι: | Algorithms, Alleles, Epitopes, T-Lymphocyte/immunology, Graft Rejection/immunology, HLA Antigens/genetics, Histocompatibility Testing/methods, Humans, Organ Transplantation/adverse effects, Tissue Donors, Taverne, Journal Article |
| Περιγραφή: | To optimize outcomes in solid organ transplantation, the HLA genes are regularly compared and matched between the donor and recipient. However, in many cases a transplant cannot be fully matched, due to widespread variation across populations and the hyperpolymorphism of HLA alleles. Mismatches of the HLA molecules in transplanted tissue can be recognized by immune cells of the recipient, leading to immune response and possibly organ rejection. These adverse outcomes are reduced by analysis using epitope-focused models that consider the immune relevance of the mismatched HLA.PIRCHE, an acronym for Predicted Indirectly ReCognizable HLA Epitopes, aims to categorize and quantify HLA mismatches in a patient-donor pair by predicting HLA-derived T cell epitopes. Specifically, the algorithm predicts and counts the HLA-derived peptides that can be presented by the host HLA, known as indirectly-presented T cell epitopes. Looking at the immune-relevant epitopes within HLA allows a more biologically relevant understanding of immune response, and provides an expanded donor pool for a more refined matching strategy compared with allele-level matching. This PIRCHE algorithm is available for analysis of single transplantations, as well as bulk analysis for population studies and statistical analysis for comparison of probability of organ availability and risk profiles. |
| Τύπος εγγράφου: | article in journal/newspaper |
| Περιγραφή αρχείου: | text/plain |
| Γλώσσα: | English |
| ISSN: | 1064-3745 |
| Relation: | https://dspace.library.uu.nl/handle/1874/453453 |
| Διαθεσιμότητα: | https://dspace.library.uu.nl/handle/1874/453453 |
| Rights: | info:eu-repo/semantics/OpenAccess |
| Αριθμός Καταχώρησης: | edsbas.6B41DF |
| Βάση Δεδομένων: | BASE |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://dspace.library.uu.nl/handle/1874/453453# Name: EDS - BASE (ns324271) Category: fullText Text: View record from BASE |
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| Header | DbId: edsbas DbLabel: BASE An: edsbas.6B41DF RelevancyScore: 945 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 944.983581542969 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: PIRCHE-II Risk and Acceptable Mismatch Profile Analysis in Solid Organ Transplantation – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Niemann%2C+Matthias%22">Niemann, Matthias</searchLink><br /><searchLink fieldCode="AR" term="%22Matern%2C+Benedict+M%22">Matern, Benedict M</searchLink><br /><searchLink fieldCode="AR" term="%22Spierings%2C+Eric%22">Spierings, Eric</searchLink><br /><searchLink fieldCode="AR" term="%22CDL+Cluster+Speciële+Diagnostiek%22">CDL Cluster Speciële Diagnostiek</searchLink><br /><searchLink fieldCode="AR" term="%22Cancer%22">Cancer</searchLink><br /><searchLink fieldCode="AR" term="%22Infection+%26+Immunity%22">Infection & Immunity</searchLink> – Name: DatePubCY Label: Publication Year Group: Date Data: 2024 – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Alleles%22">Alleles</searchLink><br /><searchLink fieldCode="DE" term="%22Epitopes%22">Epitopes</searchLink><br /><searchLink fieldCode="DE" term="%22T-Lymphocyte%2Fimmunology%22">T-Lymphocyte/immunology</searchLink><br /><searchLink fieldCode="DE" term="%22Graft+Rejection%2Fimmunology%22">Graft Rejection/immunology</searchLink><br /><searchLink fieldCode="DE" term="%22HLA+Antigens%2Fgenetics%22">HLA Antigens/genetics</searchLink><br /><searchLink fieldCode="DE" term="%22Histocompatibility+Testing%2Fmethods%22">Histocompatibility Testing/methods</searchLink><br /><searchLink fieldCode="DE" term="%22Humans%22">Humans</searchLink><br /><searchLink fieldCode="DE" term="%22Organ+Transplantation%2Fadverse+effects%22">Organ Transplantation/adverse effects</searchLink><br /><searchLink fieldCode="DE" term="%22Tissue+Donors%22">Tissue Donors</searchLink><br /><searchLink fieldCode="DE" term="%22Taverne%22">Taverne</searchLink><br /><searchLink fieldCode="DE" term="%22Journal+Article%22">Journal Article</searchLink> – Name: Abstract Label: Description Group: Ab Data: To optimize outcomes in solid organ transplantation, the HLA genes are regularly compared and matched between the donor and recipient. However, in many cases a transplant cannot be fully matched, due to widespread variation across populations and the hyperpolymorphism of HLA alleles. Mismatches of the HLA molecules in transplanted tissue can be recognized by immune cells of the recipient, leading to immune response and possibly organ rejection. These adverse outcomes are reduced by analysis using epitope-focused models that consider the immune relevance of the mismatched HLA.PIRCHE, an acronym for Predicted Indirectly ReCognizable HLA Epitopes, aims to categorize and quantify HLA mismatches in a patient-donor pair by predicting HLA-derived T cell epitopes. Specifically, the algorithm predicts and counts the HLA-derived peptides that can be presented by the host HLA, known as indirectly-presented T cell epitopes. Looking at the immune-relevant epitopes within HLA allows a more biologically relevant understanding of immune response, and provides an expanded donor pool for a more refined matching strategy compared with allele-level matching. This PIRCHE algorithm is available for analysis of single transplantations, as well as bulk analysis for population studies and statistical analysis for comparison of probability of organ availability and risk profiles. – Name: TypeDocument Label: Document Type Group: TypDoc Data: article in journal/newspaper – Name: Format Label: File Description Group: SrcInfo Data: text/plain – Name: Language Label: Language Group: Lang Data: English – Name: ISSN Label: ISSN Group: ISSN Data: 1064-3745 – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: https://dspace.library.uu.nl/handle/1874/453453 – Name: URL Label: Availability Group: URL Data: https://dspace.library.uu.nl/handle/1874/453453 – Name: Copyright Label: Rights Group: Cpyrght Data: info:eu-repo/semantics/OpenAccess – Name: AN Label: Accession Number Group: ID Data: edsbas.6B41DF |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.6B41DF |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English Subjects: – SubjectFull: Algorithms Type: general – SubjectFull: Alleles Type: general – SubjectFull: Epitopes Type: general – SubjectFull: T-Lymphocyte/immunology Type: general – SubjectFull: Graft Rejection/immunology Type: general – SubjectFull: HLA Antigens/genetics Type: general – SubjectFull: Histocompatibility Testing/methods Type: general – SubjectFull: Humans Type: general – SubjectFull: Organ Transplantation/adverse effects Type: general – SubjectFull: Tissue Donors Type: general – SubjectFull: Taverne Type: general – SubjectFull: Journal Article Type: general Titles: – TitleFull: PIRCHE-II Risk and Acceptable Mismatch Profile Analysis in Solid Organ Transplantation Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Niemann, Matthias – PersonEntity: Name: NameFull: Matern, Benedict M – PersonEntity: Name: NameFull: Spierings, Eric – PersonEntity: Name: NameFull: CDL Cluster Speciële Diagnostiek – PersonEntity: Name: NameFull: Cancer – PersonEntity: Name: NameFull: Infection & Immunity IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 10643745 – Type: issn-locals Value: edsbas – Type: issn-locals Value: edsbas.oa |
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