Literature DB >> 26316104

Variations in inflammatory genes as molecular markers for prediction of inflammatory bowel disease occurrence.

Biljana Stankovic1, Sanja Dragasevic2, Dragan Popovic3,2, Branka Zukic1, Nikola Kotur1, Aleksandra Sokic-Milutinovic3,2, Tamara Alempijevic3,2, Snezana Lukic3,2, Tomica Milosavljevic3,2, Gordana Nikcevic1, Sonja Pavlovic1.   

Abstract

OBJECTIVE: Research on inflammatory bowel disease (IBD) has highlighted genes involved in the regulation of inflammatory responses as contributors to disease pathogenesis. This study aimed to evaluate the associations between IBD and variations in NOD2, TLR4, TNF-α, IL-6, IL-1β and IL-1RN genes, and to use the genetic data obtained in predictive modeling.
METHODS: A total of 167 IBD patients and 101 healthy controls were genotyped by polymerase chain reaction-restriction fragment length polymorphism. Using the genotype data attained as the input to various classification algorithms, IBD prediction models were designed. The area under the receiver operating characteristic curve (AUROC) was used to measure their performance.
RESULTS: Significant associations were found between Crohn's disease (CD) and minor NOD2 variants, as well as TLR4 299Gly, TNF-α G-308A, IL-6 G-174C and IL-1RN VNTR A2 variants, while ulcerative colitis (UC) was associated only with IL-1RN VNTR A2 variants. CD and UC showed highly significant difference in the allelic distribution of TNF-α G-308A, where the A allele was found to be related to CD, and the G allele to UC. A combined effect of patients' gender and TLR4 variants was observed among CD patients. When all analyzed genotype and gender data were used, prediction performance achieved a maximum AUROC of 0.690 for CD and 0.601 for UC dataset.
CONCLUSION: Variations in the genes involved in immune regulation are genetic factors of importance in IBD susceptibility that could potentially be used as predictors of disease development.
© 2015 Chinese Medical Association Shanghai Branch, Chinese Society of Gastroenterology, Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine and Wiley Publishing Asia Pty Ltd.

Entities:  

Keywords:  Serbian cohort; genetic variant; inflammatory bowel disease; inflammatory gene; predictive modeling

Mesh:

Substances:

Year:  2015        PMID: 26316104     DOI: 10.1111/1751-2980.12281

Source DB:  PubMed          Journal:  J Dig Dis        ISSN: 1751-2972            Impact factor:   2.325


  4 in total

1.  Differential Intestinal Mucosa Transcriptomic Biomarkers for Crohn's Disease and Ulcerative Colitis.

Authors:  Maria Dobre; Elena Milanesi; Teodora Ecaterina Mănuc; Dorel Eugen Arsene; Cristian George Ţieranu; Carlo Maj; Gabriel Becheanu; Mircea Mănuc
Journal:  J Immunol Res       Date:  2018-10-17       Impact factor: 4.818

2.  A systematic review and functional bioinformatics analysis of genes associated with Crohn's disease identify more than 120 related genes.

Authors:  Debora Garza-Hernandez; Maricruz Sepulveda-Villegas; Jose Garcia-Pelaez; Raul Aguirre-Gamboa; Peter L Lakatos; Karol Estrada; Manuel Martinez-Vazquez; Victor Trevino
Journal:  BMC Genomics       Date:  2022-04-13       Impact factor: 3.969

3.  IL6 genetic variants haplotype is associated with susceptibility and disease activity but not with therapy response in patients with inflammatory bowel disease.

Authors:  Beatriz Piantoni Gonçalves; Tamires Flauzino; Cláudia Junko Inoue; Jaqueline Costa Castardo de Paula; Talita Cristina Galvão; Camila Cataldi de Alcantara; Paula Kikuchi Miyazaki; Lucilene Rosa; Silva Westmore; Marcell Alysson Batisti Lozovoy; Edna Maria Vissoci Reiche; Andréa Name Colado Simão
Journal:  Int J Colorectal Dis       Date:  2020-10-12       Impact factor: 2.571

Review 4.  Machine Learning Modeling from Omics Data as Prospective Tool for Improvement of Inflammatory Bowel Disease Diagnosis and Clinical Classifications.

Authors:  Biljana Stankovic; Nikola Kotur; Gordana Nikcevic; Vladimir Gasic; Branka Zukic; Sonja Pavlovic
Journal:  Genes (Basel)       Date:  2021-09-18       Impact factor: 4.096

  4 in total

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