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Hajighasemi, Fatemeh, Shirkavand, Atefeh. (1403). Determination of most frequent major histocompatibility complex alleles in Iranian population by immunoinformatic. , 12(2), 38-42. doi: 10.22070/jbcp.2024.19457.1182
Fatemeh Hajighasemi; Atefeh Shirkavand. "Determination of most frequent major histocompatibility complex alleles in Iranian population by immunoinformatic". , 12, 2, 1403, 38-42. doi: 10.22070/jbcp.2024.19457.1182
Hajighasemi, Fatemeh, Shirkavand, Atefeh. (1403). 'Determination of most frequent major histocompatibility complex alleles in Iranian population by immunoinformatic', , 12(2), pp. 38-42. doi: 10.22070/jbcp.2024.19457.1182
Hajighasemi, Fatemeh, Shirkavand, Atefeh. Determination of most frequent major histocompatibility complex alleles in Iranian population by immunoinformatic. , 1403; 12(2): 38-42. doi: 10.22070/jbcp.2024.19457.1182

Determination of most frequent major histocompatibility complex alleles in Iranian population by immunoinformatic

Journal of Basic and Clinical Pathophysiology
دوره 12، شماره 2، دی 2024، صفحه 38-42    اصل مقاله (400.48 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22070/jbcp.2024.19457.1182
نویسندگان
Fatemeh Hajighasemi* 1؛ Atefeh Shirkavand2
1Department of Immunology, Faculty of Medicine, Shahed University, Tehran, Iran
2Department of Genetics, Faculty of Biological Sciences, North Tehran Branch, Islamic Azad University, Tehran, Iran
چکیده
Background and Objective: Major histocompatibility complex (MHC) is the most polymorphic genes in human genome encoding human leukocyte antigens (HLA) class I and class II. Determination of HLA alleles could help in preparing more efficient vaccines as well as successful organ transplantation in different population of the world. Immunoinformatic uses biologic computational information for modelling and prediction of immune system function in healthiness and diseases. In this study we determined the most frequent MHC alleles in Iranian population by immunoinformatic.
Materials and Methods: Utmost frequent human leukocyte antigens (HLA) alleles in Iranian population were determined using allele frequency net database (AFND, www.allelefrequencies.net).
Results: A total of ten alleles related to HLA Class I ( five  alleles related to HLA –A [A02 (16%), A03 (12.5%), A11(10%), A24 (13.6%), A26 (10%)], three alleles related to HLA –B [(B35 (13%), B510 (12%), B53(13)%)] and two  alleles related to HLA –C [C07 (17.5%), C12 (16%)] and a total of four alleles related to HLA Class II (two  alleles related to HLA- DQB1 [DQB1 03 (30.5%), DQB1 05 (22 %)] and two  alleles related to HLA- DRB1 [DRB1 04 (17.1%), DRB1 15 (16.1 %)], were utmost frequent alleles in the Iranian population.  
Conclusion: In this study most frequent HLA alleles in Iranian population were found by immunoinformatic. These alleles could be very valuable for development of more effective vaccines as well as successful bone marrow transplantation in Iran. Besides these data could have potential implication for finding the best matched un-related donors in Iranian populations.
کلیدواژه‌ها
Major histocompatibility complex؛ Alleles؛ Iranian؛ Immunoinformatic
مراجع
  1. Hughes AL, Nei M. Maintenance of MHC polymorphism. Nature 1992. 355(6359): 402-403.
  2. Le Bouteiller P. HLA class I chromosomal region, genes, and products: facts and questions. Critical Reviews in Immunology. 1994; 14(2):89-129. Review.
  3. Marsh, SG, et al. Nomenclature for factors of the HLA system, 2006. Human immunology. 2006. 67: p. 557.
  4. Grutter G, Bianculli AG, Azeka E, Giustiniani P, Iodice FG, Amodeo A, Andreani M. Role of HLA in cardiothoracic transplantation. HLA. 2024; 103(3): e15428. Review.
  5. de Miranda BLM, Gelmini GF, Risti M, Hauer V, da Silva JS, Roxo VMMS, Bicalho MDG, Malheiros D. HLA-E genotyping and its relevance in kidney transplantation outcome. HLA. 2020; 95(5):457-464.
  6. Weston A, Ensey J, Kreiss K, Keshava C, McCanlies E. Racial differences in prevalence of a supratypic HLA-genetic marker immaterial to pre-employment testing for susceptibility to chronic beryllium disease. American Journal of Industrial Medicine. 2002; 41(6):457-65.
  7. Nicknam MH, Mahmoudi M, Amirzargar AA, Ganjalikhani Hakemi M, Khosravi F, Jamshidi AR, et. al. Determination of HLA-B27 subtypes in Iranian patients with ankylosing spondylitis. Iranian Journal of Allergy, Asthma and Immunology. 2008; 7(1):19-24.
  8. Castro-Santos P, Rojas-Martinez A, Riancho JA, Lapunzina P, Flores C, Carracedo Á, Díaz-Peña R; Scourge Cohort Group. HLA-A*11:01 and HLA-C*04:01 are associated with severe COVID-19. HLA. 2023; 102(6):731-739.
  9. Dhaliwal JS, Shahnaz M, Azrena A, Irda YA, Salawati M, Too CL, Lee YY. HLA polymorphism in three indigenous populations of Sabah and Sarawak. Tissue Antigens. 2010; 75(2):166-9.
  10. MacNabb BW, Tumuluru S, Chen X, Godfrey J, Kasal DN, Yu J, Jongsma MLM, et. al. Dendritic cells can prime anti-tumor CD8+ T cell responses through major histocompatibility complex cross-dressing. Immunity. 2022; 55(6):982-997. 
  11. Kanevskiy L, Erokhina S, Kobyzeva P, Streltsova M, Sapozhnikov A, Kovalenko E. Dimorphism of HLA-E and its Disease Association. International Journal of Molecular Sciences. 2019; 20(21):5496. Review.
  12. Peris Sempere V, Luo G, Muñiz-Castrillo S, Pinto AL, Picard G, Rogemond V, et. al. HLA and KIR genetic association and NK cells in anti-NMDAR encephalitis. Frontiers in Immunology. 2024; 15:1423149. 
  13. Padyukov L. Genetics of rheumatoid arthritis. Seminars in Immunopathology.  2022; 44(1):47-62.
  14. Arndt MF, Koohestani DM, Chobrutskiy BI, Mihyu MM, Diaz M, Gozlan EC, et. al. TRBV and TRBJ usage, when paired with specific HLA alleles, associates with distinct head and neck cancer survival rates. Human Immunology. 2020; 81(12):692-696.
  15. Charron D. HLA, immunogenetics, pharmacogenetics and personalized medicine. Vox Sanguinis. 2011; 100:163–6.
  16. Martín-Villa JM, Vaquero-Yuste C, Molina-Alejandre M, Juarez I, Suárez-Trujillo F, López-Nares A, et. al. HLA-G: Too Much or Too Little? Role in Cancer and Autoimmune Disease. Frontiers in Immunology. 2022; 13:796054. Review.
  17. Karasaki T, Moore DA, Veeriah S, Naceur-Lombardelli C, Toncheva A, Magno N, et. al. Evolutionary characterization of lung adenocarcinoma morphology in TRACERx. Nature Medicine. 2023; 29(4):833-845.
  18. Tomar N, De RK. Immunoinformatics: a brief review. Methods in Molecular Biology. 2014; 1184:23-55.
  19. Shawan MMAK, Sharma AR, Halder SK, Arian TA, Shuvo MN, Sarker SR, Hasan MA. Advances in Computational and Bioinformatics Tools and Databases for Designing and Developing a Multi-Epitope-Based Peptide Vaccine. International Journal of Peptide Research and Therapeutics. 2023; 29(4):60. Review.
  20. Sherman BT, Hao M, Qiu J, Jiao X, Baseler MW, Lane HC, et. al. DAVID: a web server for functional enrichment analysis and functional annotation of gene lists (2021 update). Nucleic Acids Research. 2022; 50(W1):W216-W221.
  21. De Groot AS, Moise L, Terry F, Gutierrez AH, Hindocha P, Richard G, et. al. Better Epitope Discovery, Precision Immune Engineering, and Accelerated Vaccine Design Using Immunoinformatics Tools. Frontiers in Immunology. 2020; 11:442. Review.
  22. Ramana J, Mehla K. Immunoinformatics and Epitope Prediction. Methods in Molecular Biology.  2020; 2131:155-171. Review.
  23. Gonzalez-Galarza FF, McCabe A, Santos EJMD, Jones J, Takeshita L, Ortega Rivera ND, et. al. Allele frequency net database (AFND) 2020 update: gold standard data classification, open access genotype data and new query tools. Nucleic Acids Research. 2020; 48: D783–8.
  24. Gonzalez-Galarza FF, McCabe A, Melo Dos Santos EJ, Ghattaoraya G, Jones AR, Middleton D. Allele Frequency Net Database. Methods in Molecular Biology. 2024; 2809:19-36.
  25. Farjadian S, Ota M, Inoko H, Ghaderi A. The genetic relationship among Iranian ethnic groups: an anthropological view based on HLA class II gene polymorphism. Molecular biology reports. 2009; 36(7): 1943-1950.
  26. Yari F, Sobhani M, Sabaghi F, Zaman-Vaziri M, Bagheri N, Talebian A. Frequencies of HLA-DRB1 in Iranian Normal Population and in Patients with Acute Lymphoblastic Leukemia. Archives of Medical Research. 2008; 39: 205-208.
  27. Hojjat-Farsangi M, Razavi SM, Sharifian RA, Shokri F. Frequency analysis of HLA class I alleles in Iranian patients with progressive and non-progressive chronic lymphocytic leukemia. Human Immunology. 2014; 75(2):170-5.
  28. Hadadianpour A, Samiee Aref MH, Zeinali S. High-Resolution HLA-A Typing in Normal Iranian Population. Iranian Biomedical Journal. 2018; 22(2):134-7.
  29. Aminikhah M, Yekaninejad MS, Nicknam MH, Khosravi F, Naroeinejad M, Ansaripour B, et. al.  HLA Class I and Class II Genes Distribution of the Iranian Sistanis. Iranian Journal of Immunology. 2018; 15(2):97-111.
  30. Amirzargar A, Rey D, Muñiz E, Palacio-Grüber J, Nikbin B, Nicknam H, et. al. Kurds HLA genes: its implications in transplantation and pharmacogenomics. Open medicine journal 2015; 2(1): 43-47. 19.
  31. Farjadian S, Naruse T, Kawata H, Ghaderi A, Bahram S, Inoko H. Molecular analysis of HLA allele frequencies and haplotypes in Baloch of Iran compared with related populations of Pakistan. Tissue antigens 2004; 64(5): 581-587.
  32. Nikbin B, Nicknam MH, Hadinedoushan H, Ansaripour B, Moradi B, Yekaninejad M, et. al. Human Leukocyte Antigen (HLA) Class I and II Polymorphism in Iranian Healthy Population from Yazd Province. Iranian Journal of Allergy, Asthma and Immunology. 2017; 16(1):1-13.
  33. Whang DH, Yang YS, Hong HK. Allele and haplotype frequencies of human leukocyte antigen-A, -B, and -DR loci in Koreans: DNA typing of 1,500 cord blood units. Korean journal of laboratory medicine. 2008; 28(6): 465-474.
  34. Pan Q, Fan S, Wang X, Zhao X, Pan M, Wang C, Shen J. The distribution of HLA-A, -B, and -DRB1 alleles and haplotypes in inhabitants of Guizhou Province of China. Journal of biomedical research 2011; 25(5): 328-334.
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