| Literature DB >> 26000985 |
Chuan-Xing Xiao1, Jing-Jing Xiao2, Hong-Zhi Xu1, Huan-Huan Wang1, Xu Chen1, Yuan-Sheng Liu1, Ping Li1, Ying Shi1, Yong-Zhan Nie3, Shao Li4, Kai-Chun Wu3, Zhan-Ju Liu5, Jian-Lin Ren1, Bayasi Guleng6.
Abstract
Previous studies have highlighted the role of genetic predispositions in disease, and several genes had been identified as important in Crohn's disease (CD). However, many of these genes are likely rare and not associated with susceptibility in Chinese CD patients. We found 294 shared identical variants in the CD patients of which 26 were validated by Sanger sequencing. Two heterozygous IFN variants (IFNA10 c.60 T > A; IFNA4 c.60 A > T) were identified as significantly associated with CD susceptibility. The single-nucleotide changes alter a cysteine situated before the signal peptide cleavage site to a stop code (TGA) in IFNA10 result in the serum levels of IFNA10 were significantly decreased in the CD patients compared to the controls. Furthermore, the IFNA10 and IFNA4 mutants resulted in an impairment of the suppression of HCV RNA replication in HuH7 cells, and the administration of the recombinant IFN subtypes restored DSS-induced colonic inflammation through the upregulation of CD4(+) Treg cells. We identified heterozygous IFNA10 and IFNA4 variants as a cause of impaired function and CD susceptibility genes in Chinese patients from multiple center based study. These findings might provide clues in the understanding of the genetic heterogeneity of CD and lead to better screening and improved treatment.Entities:
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Year: 2015 PMID: 26000985 PMCID: PMC4441321 DOI: 10.1038/srep10514
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Genotype association study of the IFNA10 and IFNA4 variants in expanded CD cases versus controls.
| IFNA4 (c.60 A > T) | CD | 208 | 0 (0) | 166 (79.81) | 42 (20.19) | 7.738 | |
| Health group | 198 | 0 (0) | 134 (67.68) | 64 (32.32) | |||
| IFNA10 (c.60 T > A) | CD | 208 | 48 (23.1) | 160 (76.9) | 0 (0) | 11.902 | |
| Health group | 198 | 77 (38.9) | 121 (61.1) | 0 (0) | |||
Association of IFNA4 variant with responses to medical treatment in CD Patients.
| 42 | Effective 22 | 0 | 10 (45.4) | 12 (54.6) | 0.537 | |
| Ineffective 20 | 0 | 11 (55.0) | 9 (45.0) | |||
| 28 | Effective 8 | 0 | 2 (25.0) | 6 (75.0) | ||
| Ineffective 20 | 0 | 16 (80) | 4 (20) | |||
| 7 | Effective 3 | 0 | 2 (66.0) | 1 (34.0) | 1.000 | |
| Ineffective 4 | 0 | 2 (50.0) | 2 (50.0) | |||
| 21 | Effective 12 | 0 | 5 (41.6) | 7 (58.4) | 0.850 | |
| Ineffective 9 | 0 | 5 (55.5) | 4 (44.5) | |||
| 53 | Effective 27 | 0 | 14 (51.9) | 13 (48.1) | ||
| Ineffective 26 | 0 | 23 (88.4) | 3 (11.6) | |||
Association of IFNA10 variant with responses to medical treatment in CD Patients.
| 44 | Effective 20 | 8 (40.0) | 12 (60.0) | 0 | 0.911 | |
| Ineffective 24 | 10 (41.7) | 14 (58.3) | 0 | |||
| 27 | Effective 10 | 6 (60.0) | 4 (40.0) | 0 | ||
| Ineffective 17 | 2 (11.8) | 15 (88.2) | 0 | |||
| 9 | Effective 5 | 2 (40.0) | 3 (60.0) | 0 | 1.000 | |
| Ineffective 4 | 2 (50.0) | 2 (50.0) | 0 | |||
| 24 | Effective 14 | 6 (42.9) | 8 (57.1) | 0 | 0.889 | |
| Ineffective 10 | 4 (40.0) | 6 (60.0) | 0 | |||
| 47 | Effective 24 | 13 (54.2) | 11 (45.8) | 0 | ||
| Ineffective 23 | 3 (13.1) | 20 (86.9) | 0 | |||
Figure 1Sequencing and functional analysis of the IFNA4 and IFNA10 variants. (A) Confirmation of the IFNA4 and IFNA10 heterozygous mutations in CD patients compared to healthy subjects (wild-type alleles) using Sanger sequencing. (B) The mutation site and amino acids alteration of the IFNA4 and IFNA10 variants. (C-D) Huh7 cells were transiently transfected with plasmids expressing IFNA4, IFNA10, or mutants and then infected with HCV; the replicon copies were calculated using real-time PCR and PLV as a control; The supernatants of the cell culture were analyzed using ELISA. (E) Real-time PCR analyzed the mRNA expressions of IFNA4, IFNA10, FOXP3, TGFβ, IL10, IL2, IL6 and IL17 in NCM460 cells after transfection of the siRNA targeting IFNA4 and IFNA10. The scramble siRNA sequences were used as a negative control. The results indicate the mean ± SD of three independent experiments (*P < 0.05).
Figure 2ELISA analysis of serum IFNA4 and IFNA10 levels. A Wilcoxon two-sample test was performed to evaluate the differences between 47 CD patients and 95 healthy controls. Comparison of the serum IFNA4 level between CD patients and healthy controls (A) and between wild-type and mutant alleles in CD patients and healthy controls (B) N indicates normal healthy control. Comparison of the serum IFNA10 level between CD patients and healthy controls (C) and between wild-type and mutant alleles in CD patients and healthy controls (D). (E-F) Comparison of serum IFNA4 and IFNA10 between IFN single-subtype and dual-subtype variants in CD patients, respectively (*P < 0.05).
Figure 3IFNA4 and IFNA10 control DSS-induced acute colitis. (A-B) Left panel showed the experimental protocol applied to induce mice acute colitis and the administration of IFNA subtypes; and right panel showed the mice body weight curve of DSS-induced acute colitis between the study groups. (C) The study mice were monitored for bleeding scores by a quantitative analysis for the presence of rectal blood. (D-E) Colon sections were fixed in formalin and stained with HE; the sections were analyzed for the inflammation score. (F) Real-time PCR analyzed the mRNA expressions of CCL2, CCL5, CD70, CXCL10 and TNFSF10 in colon tissues on DSS model. The data are given as the mean ± SD (n = 10, *P < 0.05).
Figure 4IFNA4 and IFNA10 inhibit acute colitis through induction of Treg cells. (A-B) FACS analysis of isolated cells from mice DSS-induce acute colitis groups, upper panels indicate first gate of lower panels. (C-D) Quantification analysis of upper FACS results, as CD4+ CD25+ cells in CD3+ and Foxp3+ cells in CD4+ T cells in the colon tissues, 5 mice in each group and analyzed the samples in triplicate, bars represent the mean ± SD.