| Title |
Hyperhomocysteinemia and Related Genetic Polymorphisms Correlate with Ulcerative Colitis in Southeast China
|
|---|---|
| Published in |
Cell Biochemistry and Biophysics, September 2011
|
| DOI | 10.1007/s12013-011-9283-4 |
| Pubmed ID | |
| Authors |
Yi Jiang, Xuanping Xia, Wenxing Wang, Limiao Lin, Changlong Xu, Zhenzai Cai, Bo Zheng, Jihua Pei, Sujian Shen, Bing Xia |
| Abstract |
Increased levels of homocysteine are found systemically and in intestinal mucosa of patients with inflammatory bowel disease, and, specifically, in ulcerative colitis (UC). However, there are controversial reports regarding the factors contributing to increased levels of homocysteine in UC. Furthermore, little information is available regarding the relationship between hyperhomocysteinemia (HHcy), vitamin status, and genetic polymorphisms of homocysteine-related enzymes in these patients. This study examined four functional polymorphisms linked to homocysteine metabolism (MTHFR C677T and A1298C, MTR A2756G and MTRR A66G), and evaluated plasma levels of homocysteine, folate, and vitamin B(12) in 310 consecutive patients with UC and 936 age- and sex-matched healthy controls from southeast China. The variant allele and genotypic frequencies in MTHFR A1298C, MTR A2756G and MTRR A66G genes were significantly higher in patients with UC compared to healthy controls. Further, HHcy and low levels of folate and vitamin B(12) were more frequent in patients with UC. The MTR 2756G allele, extent of the disease, and gender were the independent determinants of HHcy in these patients. These findings suggest that genetic and nutritional factors have a synergetic effect on HHcy in patients with UC. In conclusion, our data highlight a prevention strategy for moderation of HHcy and supplementation with folate and vitamine B(12) in patients with UC from Southeast China. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Australia | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 24% |
| Student > Doctoral Student | 3 | 18% |
| Other | 2 | 12% |
| Student > Master | 2 | 12% |
| Researcher | 2 | 12% |
| Other | 2 | 12% |
| Unknown | 2 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 47% |
| Nursing and Health Professions | 2 | 12% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 24% |
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 01 October 2011.
All research outputs
#17,648,479
of 22,653,392 outputs
Outputs from Cell Biochemistry and Biophysics
#423
of 910 outputs
Outputs of similar age
#107,090
of 130,802 outputs
Outputs of similar age from Cell Biochemistry and Biophysics
#14
of 19 outputs
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