Journals / Turkish Journal of Immunology / 2021 / Cilt: 9 - Sayı: 2

mRNA Expression Levels of NKp30, NKp46, NKG2D, Perforin and Granzyme in the Behçet’s Disease

Behçet Hastalarında NKp30, NKp46, NKG2D, Perforin ve Granzim mRNA Ekspresyon Düzeyleri

Pages
80–85
Publication Date
2022-11-04
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Conclusion: Although, a significant difference does not exist between NKp30, NKp46, NKG2D, perforin and granzyme mRNA expressions, further functional studies are necessary to rule out the potential role of these molecules in the pathogenesis of Behçet’s Disease.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Objective: There are limited studies about NK cells that may have an immunoregulatory role in Behçet’s Disease.
📊
Key Findings & Data:Materials and Methods: NKp30, NKp46, NKG2D, perforin and granzyme mRNA expression were analyzed in 42 patients with Behçet’s disease and 14 controls by RT-PCR.
💡
Conclusion & Impact:Conclusion: Although, a significant difference does not exist between NKp30, NKp46, NKG2D, perforin and granzyme mRNA expressions, further functional studies are necessary to rule out the potential role of these molecules in the pathogenesis of Behçet’s Disease.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Objective: There are limited studies about NK cells that may have an immunoregulatory role in Behçet’s Disease. NK cell receptor, perforin and granzyme mRNA expressions were analyzed in both active and inactive BD patients. Materials and Methods: NKp30, NKp46, NKG2D, perforin and granzyme mRNA expression were analyzed in 42 patients with Behçet’s disease and 14 controls by RT-PCR. CD3+ T, and NK cell subsets were analyzed by flow cytometry. Results: NKp30, NKp46, NKG2D, perforin and granzyme expression levels between patients and healthy subjects did not show any significant differences. However, a positive correlation was detected between CD3-CD16+CD56dim NK cell frequencies and NKG2D and NKp46 mRNA levels in active BD patients and between CD3+ T cell frequencies and NKp46 mRNA levels in inactive Behçet’s patients. Conclusion: Although, a significant difference does not exist between NKp30, NKp46, NKG2D, perforin and granzyme mRNA expressions, further functional studies are necessary to rule out the potential role of these molecules in the pathogenesis of Behçet’s Disease.

Özet

Amaç: Behçet Hastalığında (BD) Doğal Katil (NK) hücrelerinin immünregülatör etkisine yönelik sınırlı sayıda çalışma vardır. Bu çalışmada, aktif ve inaktif Behçet hastalarında NKp30, NKp46, NKG2D, perforin ve granzim mRNA ekspresyonları incelenmiştir. Gereç ve Yöntem: Çalışmaya 42 Behçet hastası ve 14 sağlıklı kontrol dahil edildi. NKp30, NKp46, NKG2D, perforin ve granzim mRNA ekspresyon düzeyleri RT-PCR ile, CD3+ T ve NK hücreleri akan hücre ölçer ile analiz edildi. Bulgular: Hasta ve sağlıklı kontroller arasında NKp30, NKp46, NKG2D, perforin ve granzim mRNA ekspresyon düzeyleri açısından anlamlı bir fark saptanmadı. Aktif hastalarda CD3-CD16+CD56dim NK hücre oranları ile NKG2D ve NKp46 mRNA ekspresyon seviyeleri arasında, inaktif hastalarda ise CD3+ T hücre oranları ile NKp46 mRNA ekspresyonları arasında pozitif korelasyon saptandı. Sonuç: NKp30, NKp46, NKG2D, perforin ve granzim mRNA ekspresyonları açısından anlamlı fark bulunmamakla birlikte bu moleküllerin Behçet patogenezindeki potansiyel rolünü dışlamak için daha fazla fonksiyonel çalışma gereklidir.

🔖

Cite This Article

DENİZ, G., ÖKTELİK, F. B., GELMEZ, M. Y., AKTAŞ, E., ÇINAR, S., GÜL, A., ERDUGAN, M., KOBANER, G. B., KÖSE, A. A. (2022). mRNA Expression Levels of NKp30, NKp46, NKG2D, Perforin and Granzyme in the Behçet’s Disease. Turkish Journal of Immunology, Cilt: 9 - Sayı: 2, 80–85. https://ajindex.com/articles/607160

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. Azizlerli G, Kose AA, Sarica R, Gul A, Tutkun IT, Kulac M, et al. Prevalence of Behçet’s disease in Istanbul, Turkey. Int J Dermatol. 2003
  2. 42(10):803-6. [CrossRef] 2. Gul A. Genetics of Behçet’s disease: lessons learned from genomewide association studies. Curr Opin Rheumatol. 2014
  3. 26(1):56-63. [CrossRef] 3. Remmers EF, Cosan F, Kirino Y, Ombrello MJ, Abaci N, Satorius C, et al. Genome-wide association study identifies variants in the MHC class I, IL10, and IL23R-IL12RB2 regions associated with Behçet’s disease. Nat Genet. 2010
  4. 42(8):698-702. [CrossRef] 4. Gelmez MY, Cinar S, Aktas Cetin E, Ozcit-Gurel G, Babuna- Kobaner G, Erdugan M, et al. Inflammatory status might direct ILC and NK cells to IL-17 expressing ILC3 and NK subsets in Behçet’s disease. Immunol Lett, 2021
  5. [CrossRef] 5. McGonagle D, Aydin SZ, Gul A, Mahr A, Direskeneli H. ‘MHC-I-opathy’-unified concept for spondyloarthritis and Behçet disease. Nat Rev Rheumatol. 2015
  6. 11(12):731-40. [CrossRef] 6. Carlsten M, Jaras M. Natural Killer Cells in Myeloid Malignancies: Immune Surveillance, NK Cell Dysfunction, and Pharmacological Opportunities to Bolster the Endogenous NK Cells. Front Immunol. 2019
  7. [CrossRef] 7. Zhang C, Hu Y, Shi C. Targeting Natural Killer Cells for Tumor Immunotherapy. Front Immunol. 2020
  8. [CrossRef] 8. Aktas E, Erten G, Kucuksezer UC, Deniz G. Natural killer cells: versatile roles in autoimmune and infectious diseases. Expert Rev Clin Immunol. 2009
  9. 5(4):405-20. [CrossRef] 9. Barrow AD, Martin CJ, Colonna M. The natural cytotoxicity receptors in health and disease. Front Immunol. 2019
  10. [CrossRef] 10. Blunt MD, Khakoo SI. Activating killer cell immunoglobulinlike receptors: Detection, function and therapeutic use. Int J Immunogenet. 2020
  11. 47(1):1-12. [CrossRef] 11. Liu H, Wang S, Xin J, Wang J, Yao C, Zhang Z. Role of NKG2D and its ligands in cancer immunotherapy. Am J Cancer Res. 2019
  12. 9(10):2064-78. 12. Spits H, Bernink JH, Lanier L. NK cells and type 1 innate lymphoid cells: partners in host defense. Nat Immunol. 2016
  13. 17(7):758-64. [CrossRef] 13. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2001
  14. 25(4):402-8. [CrossRef] 14. Giza M, Koftori D, Chen L, Bowness P. Is Behçet’s disease a ‘class 1-opathy’? The role of HLA-B*51 in the pathogenesis of Behçet’s disease. Clin Exp Immunol. 2018
  15. 191(1):11-8. [CrossRef] 15. Zeidan MJ, Saadoun D, Garrido M, Klatz