| Title |
The Influence of Polymorphisms of Interleukin-17A and Interleukin-17F Genes on the Susceptibility to Ulcerative Colitis
|
|---|---|
| Published in |
Journal of Clinical Immunology, September 2007
|
| DOI | 10.1007/s10875-007-9125-8 |
| Pubmed ID | |
| Authors |
Tomiyasu Arisawa, Tomomitsu Tahara, Tomoyuki Shibata, Mitsuo Nagasaka, Masakatsu Nakamura, Yoshio Kamiya, Hiroshi Fujita, Masahiko Nakamura, Daisuke Yoshioka, Yuko Arima, Masaaki Okubo, Ichiro Hirata, Hiroshi Nakano |
| Abstract |
We investigated the association between ulcerative colitis (UC) and polymorphisms of IL-17A (rs2275913, G-197A) and IL-17F (rs763780, 7488T/C) genes. We employed the multiplex PCR-SSCP method to detect gene polymorphisms. Both the numbers of -197A (IL-17A) and 7488T (IL-17F) alleles were significantly correlated to the development of UC. The frequencies of -197A/A and 7488T/T genotypes in the UC group were significantly higher than those in the non-UC group. An adjusted analysis revealed that -197A and 7488T alleles were independent risk factors for the developing UC. In addition, both polymorphisms were significantly associated with the pancolitis phenotype. Furthermore, -197A allele was significantly correlated to the chronic relapsing phenotype and -197A/A homozygote was more frequent in steroid-dependent cases, whereas 7488T allele was correlated with the chronic continuous phenotype. Our results provided the first evidence that -197A (IL-17A) and 7488T (IL-17F) alleles may influence the susceptibility to and pathophysiological features of UC independently. |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Unknown | 61 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 26% |
| Student > Master | 13 | 21% |
| Student > Bachelor | 7 | 11% |
| Professor > Associate Professor | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Other | 9 | 15% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 29% |
| Agricultural and Biological Sciences | 17 | 27% |
| Biochemistry, Genetics and Molecular Biology | 10 | 16% |
| Immunology and Microbiology | 5 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 10 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 April 2013.
All research outputs
#20,191,579
of 22,708,120 outputs
Outputs from Journal of Clinical Immunology
#1,254
of 1,560 outputs
Outputs of similar age
#67,374
of 69,885 outputs
Outputs of similar age from Journal of Clinical Immunology
#5
of 5 outputs
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