کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3355247 1591552 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Association study of inflammatory genes with rheumatic heart disease in North Indian population: A multi-analytical approach
ترجمه فارسی عنوان
بررسی ارتباط ژنهای التهابی با بیماری های قلبی روماتیسمی در جمعیت شمال هندی: رویکرد چند تحلیلی
موضوعات مرتبط
علوم زیستی و بیوفناوری ایمنی شناسی و میکروب شناسی ایمونولوژی
چکیده انگلیسی


• Evaluation of inflammatory genetic variants with RHD risk in case-control setting.
• MDR, CART and logistic regression used to discover high-order gene–gene interactions.
• TGF-β1 rs1982073, IL-1β rs2853550 and IL-1 VNTR associated with higher RHD risk.
• In final analysis, TGF-β1rs1982073 emerged as main risk in RHD.

Rheumatic heart disease (RHD) is an inflammatory, autoimmune disease; occurring as a consequence of group A streptococcal infection complicated by rheumatic fever (RF). An inappropriate immune response is the central signature tune to the complex pathogenesis of RHD. However, some of those infected develop RHD, and genetic host susceptibility factors are thought to play a key role in diseasedevelopment. Therefore, the present study was designed to explore the role of genetic variants in inflammatory genes in conferring risk of RHD. The study recruited total of 700 subjects, including 400 RHD patients and 300 healthy controls. We examined the associations of 8 selected polymorphisms in seven inflammatory genes: IL-6 [rs1800795 G/C], IL-10 [rs1800896 G/A], TNF-A [rs1800629 G/A], IL-1β [rs2853550C/T], IL-1VNTR [rs2234663], TGF-β1 [rs1800469C/T]; [rs1982073 T/C], and CTLA-4 [rs5742909C/T] with RHD risk. Genotyping for all the polymorphisms was done using PCR-ARMS/PCR/RFLP methods. Multifactor dimensionality reduction and classification and regression tree approaches were combined with logistic regression to discover high-order gene-gene interactions in studiedgenes involved in RHD susceptibility.In univariate logistic regression analysis, we found significant association of variant-containing genotypes (CT&TT) of TGF-β1 869 T/C [rs1982073]; [p = 0.0.004 & 0.001, OR (95% CI) = 1.65 (1.2–2.3) & 2.25 (1.4–3.6) respectively], variant genotype (CC) of IL-1β −511C/T [rs2853550]; [p = 0.001, OR (95% CI) = 2.33 (1.4–3.8)] and IL-1 VNTR [rs2234663]; [p = 0.03, OR (95% CI) = 5.25 (1.2–23.4)] SNPs with RHD risk. CART analysis revealed that individuals with the combined genotypes of TGF-β1 T/C_ rs1982073 (CT/TT) and IL-1 β_ rs2853550 (CC) had significantly higher susceptibility for RHD [p = 0.0005, OR (95% CI) = 5.91 (2.9–12.5)]. In MDR analysis, TGF-β1 869T > C yielded the highest testing accuracy of 0.562. In conclusion, using multi-analytical approaches, our study revealed important role of TGF-β1 869 T/C [rs1982073] in RHD susceptibility.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Immunology Letters - Volume 174, June 2016, Pages 53–62
نویسندگان
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