همبستگی بین فراوانی پلی مورفیسم تک نوکلئوتیدی در ژن TYK2 با بیماری کووید-19

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه ژنتیک،دانشکده علوم و فناوری های نوین،علوم پزشکی تهران،دانشگاه آزاد اسلامی، تهران،ایران

2 گروه ژنتیک،دانشکده علوم و فناوری های نوین،علوم پزشکی تهران،دانشگاه آزاد اسلامی،تهران،ایران

3 بخش هپاتیت، ایدز و بیماری های منتقله از خون، انستیتو پاستور تهران، ایران

چکیده

مقدمه: گوناگونی در پیامدهای ابتلا به بیماری کووید-19 و درک چرایی آن، به یک چالش جهانی در حوزه سلامت منجر شده است. ویژگی های ژنتیکی به ویژه تفاوت در ژن های سیستم ایمنی به عنوان یکی از عوامل مهم در گوناگونی پیامدهای بالینی ناشی از عفونت با ویروس هایی همچون ویروس SARS-CoV-2 در نظر گرفته می شود.
روش کار: در این مطالعه پس از استخراج DNA از نمونه خون 220 بیمار مبتلا به کووید-19، از روش PCR-RFLP برای شناسایی چندشکلی تک نوکلئوتیدی مورد نظر در ژن تیروزین کیناز2 (TYK2) استفاده شد. پس از انجام واکنش PCR، محصولات PCR مورد هضم آنزیمی با آنزیم AluI قرار گرفتند و قطعات ایجاد شده با کمک ژل الکتروفورز از یکدیگر جدا شدند. با بررسی قطعات حاصل، فنوتیپ هر بیمار مشخص و به منظور تأیید نهایی، تعدادی از نمونه ها برای تعیین توالی ارسال شدند.
یافته ها: جمعیت مورد مطالعه در این پژوهش شامل 102 بیمار بهبود یافته مبتلا به شکل خفیف کووید-19 و 118 بیمار فوت شده مبتلا به نوع شدید بیماری بود. فراوانی چند شکلی rs11085727 در ژن TYK2 در دو گروه فوت شدگان به صورت معناداری نسبت به گروه بهبود یافتگان بالاتر بود (P< 0.05).
نتیجه گیری: بررسی عوامل ژنتیکی و تنوع آن ها به ویژه بررسی چند شکلی های موجود در ژن های مرتبط با سیستم ایمنی ذاتی می تواند نقش مهمی در برآورد پیش آگهی برای ابتلا به کووید-19 و اتخاذ روش‌های درمانی ویژه براساس ژنتیک بیماران داشته باشد. با توجه به نتایج به دست آمده در این پژوهش، چند شکلی rs11085727 در ژن TYK2 احتمالا با شدت بیماری کووید-19 در ارتباط است.

کلیدواژه‌ها

عنوان مقاله [English]

Study on the correlation between single nucleotide polymorphism frequency in TYK2 gene with COVID-19 disease

نویسندگان [English]

  • Hediyeh Tamimi 1
  • Flora Forouzesh 2
  • Pooneh Rahimi 3

1 Department of Genetics, Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran

2 Department of Genetics, Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran

3 Department of Hepatitis and AIDS and Blood Transmitted Diseases, Pasteur Institute of Iran, Tehran, Iran

چکیده [English]

Introduction: The diversity in outcomes of COVID-19 infection and understanding its underlying reasons have led to
a global health challenge. Genetic features, especially variations in immune system genes, are considered as crucial factors contributing to the clinical diversity resulting from infections with viruses such as SARS-CoV-2.
Materials and Methods: In this study, DNA was extracted from blood samples of 220 COVID-19 patients. The PCR-RFLP
method was employed to identify single nucleotide polymorphisms in the Tyrosine Kinase 2 (TYK2) gene. After PCR amplification, the PCR products were enzymatically digested with AluI enzyme, and the resulting fragments were separated using gel electrophoresis. Phenotypes of each patient were determined by analyzing the created fragments, and for final confirmation, some samples were sent for sequencing.
Results: The study population included 102 recovered patients with mild COVID-19 and 118 deceased patients with severe disease. The frequency of the rs11085727 polymorphism in the TYK2 gene was statistically examined in both patient groups, revealing a significantly higher frequency in the deceased group compared to the recovered group
(p< 0.05).
Conclusion: Examining genetic factors and their variations, especially investigating single nucleotide polymorphisms in genes related to the innate immune system, can play a significant role in predicting susceptibility to COVID-19 and adopting personalized therapeutic approaches based on patients' genetics. According to the results obtained in this research, the rs11085727 polymorphism in the TYK2 gene is likely associated with the severity of COVID-19.

کلیدواژه‌ها [English]

  • Single Nucleotide Polymorphism
  • Tyrosine Kinase
  • SARS CoV-2
  • COVID-19
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