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Empirical Study of Large-Scale HLA Simulation of Parallel Region-Matching Knowledge Recognition Algorithm Based on Region Matching. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:1514396. [PMID: 35449745 PMCID: PMC9017540 DOI: 10.1155/2022/1514396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 02/24/2022] [Indexed: 11/28/2022]
Abstract
Most of the existing region-matching algorithms need to match all regions, resulting in a waste of computing resources, increasing the cost of simulation technology and data redundancy, and resulting in the reduction of network data stream transmission efficiency. This paper presents a parallel region-matching knowledge recognition algorithm. Combined with the shortcomings of existing matching algorithms, a simulation technology is constructed to realize the parallel matching of multiple regions in HLA distributed simulation. The algorithm can realize the parallel matching calculation of multiple changed regions in one simulation. At the same time, the basic idea based on mobile intersection is adopted in the matching calculation, and the historical information before and after the region range is moved is used. The matching is limited to the moving interval, and the moving crossover theory is applied to the matching calculation to realize the relevant historical information before and after the region. Simulation results show that the parallel region-matching knowledge recognition algorithm can support HLA distributed simulation evaluation. In the matching calculation, the basic idea based on moving intersection is adopted, and the matching is limited to the moving interval by using the historical information before and after the region is moved, which reduces a large number of irrelevant calculations. Theoretical analysis and experimental results show that the algorithm is particularly suitable for the application needs of building large-scale distributed simulation based on multi-core computing platform.
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Enrich E, Vidal F, Corrales I, Campos E, Borràs N, Martorell L, Sánchez M, Querol S, Rudilla F. Improving cord blood typing with next-generation sequencing: impact of allele-level HLA and NIMA determination on their selection for transplantation. Bone Marrow Transplant 2020; 55:1623-1631. [DOI: 10.1038/s41409-020-0890-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 03/25/2020] [Accepted: 03/27/2020] [Indexed: 12/19/2022]
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Panagouli E, Dinou A, Mallis P, Michalopoulos E, Papassavas A, Spyropoulou-Vlachou M, Meletis J, Angelopoulou M, Konstantopoulos K, Vassilakopoulos T, Stavropoulos-Giokas C. Non-Inherited Maternal Antigens Identify Acceptable HLA Mismatches: A New Policy for the Hellenic Cord Blood Bank. Bioengineering (Basel) 2018; 5:E77. [PMID: 30248919 PMCID: PMC6316301 DOI: 10.3390/bioengineering5040077] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Revised: 09/13/2018] [Accepted: 09/19/2018] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND During pregnancy, the maternal-fetal contact may lead to the development of tolerance against the maternal human leukocyte antigen (HLA) that is not inherited by the fetus. These non-inherited maternal antigens (NIMAs) define acceptable HLA mismatches; therefore, the number of HLA phenotypes that are suitable matches for patients who need a hematopoietic stem cell transplant could be increased. Cord blood unit (CBU) transplantations to patients mismatched for a HLA loci, but similar to the ΝΙΜAs of the CBU, have a prognosis similar to 6/6-matched ones. METHODS The Hellenic Cord Blood Bank (HCBB) identified the maternal HLA of 380 cord blood donors, specifying the NIMA haplotypes of the related cryostored CBUs. RESULTS The HCBB extended the pool of HLA phenotypes through the generation of unique virtual phenotypes (VPs). A "VP database" was set up, using Microsoft Office-Access™, in order to provide NIMA-matched CBUs for potential recipients. The effectiveness of VPs' matching was tested in 80 Greek patients. CONCLUSION This methodology may contribute to the increase of the number of available CBUs for patients, in the case where there is no available CBU, or in case an additional one is needed. Through this method, the CBUs could be used faster and more effectively, rather than being cryostored for long periods of time.
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Affiliation(s)
- Effrosyni Panagouli
- Hellenic Cord Blood Bank, Biomedical Research Foundation Academy of Athens, 4 Soranou Ephessiou Street, 11527 Athens, Greece.
| | - Amalia Dinou
- Hellenic Cord Blood Bank, Biomedical Research Foundation Academy of Athens, 4 Soranou Ephessiou Street, 11527 Athens, Greece.
| | - Panagiotis Mallis
- Hellenic Cord Blood Bank, Biomedical Research Foundation Academy of Athens, 4 Soranou Ephessiou Street, 11527 Athens, Greece.
| | - Efstathios Michalopoulos
- Hellenic Cord Blood Bank, Biomedical Research Foundation Academy of Athens, 4 Soranou Ephessiou Street, 11527 Athens, Greece.
| | - Andreas Papassavas
- Hellenic Cord Blood Bank, Biomedical Research Foundation Academy of Athens, 4 Soranou Ephessiou Street, 11527 Athens, Greece.
| | | | - John Meletis
- Department of Hematology and Bone Marrow Transplantation, School of Medicine, National and Kapodistrian University of Athens, 17, Agiou Thoma Street, 11527 Athens, Greece.
| | - Maria Angelopoulou
- Department of Hematology and Bone Marrow Transplantation, School of Medicine, National and Kapodistrian University of Athens, 17, Agiou Thoma Street, 11527 Athens, Greece.
| | - Kostas Konstantopoulos
- Department of Hematology and Bone Marrow Transplantation, School of Medicine, National and Kapodistrian University of Athens, 17, Agiou Thoma Street, 11527 Athens, Greece.
| | - Theodoros Vassilakopoulos
- Department of Hematology and Bone Marrow Transplantation, School of Medicine, National and Kapodistrian University of Athens, 17, Agiou Thoma Street, 11527 Athens, Greece.
| | - Catherine Stavropoulos-Giokas
- Hellenic Cord Blood Bank, Biomedical Research Foundation Academy of Athens, 4 Soranou Ephessiou Street, 11527 Athens, Greece.
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