Integration of transcriptomics and metabonomics: improving diagnostics, biomarker identification and phenotyping in ulcerative colitis
文献类型：期刊论文
| 作者 | Bjerrum, Jacob Tveiten1,2; Rantalainen, Mattias3,4; Wang, Yulan4,5; Olsen, Jorgen1; Nielsen, Ole Haagen2 |
| 刊名 | METABOLOMICS
 |
| 出版日期 | 2014-04-01 |
| 卷号 | 10期号:2页码:280-290 |
| 关键词 | Colonic biopsy Gene expression profiles Inflammatory bowel disease Metabolomics Metabolic profiles NMR spectroscopy |
| 英文摘要 | A systems biology approach to multi-faceted diseases has provided an opportunity to establish a holistic understanding of the processes at play. Thus, the current study merges transcriptomics and metabonomics data in order to improve diagnostics, biomarker identification and to explore the possibilities of a molecular phenotyping of ulcerative colitis (UC) patients. Biopsies were obtained from the descending colon of 43 UC patients (22 active UC and 21 quiescent UC) and 15 controls. Genome-wide gene expression analyses were performed using Affymetrix GeneChip Human Genome U133 Plus 2.0. Metabolic profiles were generated using H-1 Nuclear magnetic resonance spectroscopy (Bruker 600 MHz, Bruker BioSpin, Rheinstetten, Germany). Data were analyzed with the use of orthogonal-projection to latent structure-discriminant analysis and a multivariate logistic regression model fitted by lasso. Prediction performance was evaluated using nested Monte Carlo cross-validation. The prediction performance of the merged data sets and that of relative small (< 20 variables) multivariate biomarker panels suggest that it is possible to discriminate between active UC, quiescent UC, and controls; between patients with or without steroid dependency, as well as between early or late disease onset. Consequently, this study demonstrates that the novel approach of integrating metabonomics and transcriptomics combines the better of the two worlds, and provides us with clinical applicable candidate biomarker panels. These combined panels improve diagnostics and more importantly also the molecular phenotyping in UC and provide insight into the pathophysiological processes at play, making optimized and personalized medication a possibility. |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| 类目[WOS] | Endocrinology & Metabolism |
| 研究领域[WOS] | Endocrinology & Metabolism |
| 关键词[WOS] | MAGNETIC-RESONANCE-SPECTROSCOPY ; INFLAMMATORY-BOWEL-DISEASE ; SPINNING H-1-NMR SPECTROSCOPY ; CROHNS-DISEASE ; ORTHOGONAL PROJECTIONS ; LATENT STRUCTURES ; NMR-SPECTROSCOPY ; K-OPLS ; EXPRESSION ; BIOPSIES |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000332007000011 |
| 公开日期 | 2015-07-14 |
| 源URL | [http://ir.wipm.ac.cn/handle/112942/1309]  |
| 专题 | 武汉物理与数学研究所_磁共振应用研究部 |
| 作者单位 | 1.Univ Copenhagen, Panum Inst, Dept Cellular & Mol Med, DK-2200 Copenhagen, Denmark 2.Univ Copenhagen, Herlev Hosp, Med Sect, Dept Gastroenterol, Copenhagen, Denmark 3.Univ Oxford, Dept Stat, Oxford OX1 3TG, England 4.Chinese Acad Sci, Wuhan Inst Phys & Math, Wuhan Ctr Magnet Resonance, State Key Lab Magnet Resonance & Atom & Mol Phys, Wuhan, Peoples R China 5.Collaborat Innovat Ctr Diag & Treatment Infect Di, Hangzhou, Zhejiang, Peoples R China |
| 推荐引用方式 GB/T 7714 | Bjerrum, Jacob Tveiten,Rantalainen, Mattias,Wang, Yulan,et al. Integration of transcriptomics and metabonomics: improving diagnostics, biomarker identification and phenotyping in ulcerative colitis[J]. METABOLOMICS,2014,10(2):280-290. |
| APA | Bjerrum, Jacob Tveiten,Rantalainen, Mattias,Wang, Yulan,Olsen, Jorgen,&Nielsen, Ole Haagen.(2014).Integration of transcriptomics and metabonomics: improving diagnostics, biomarker identification and phenotyping in ulcerative colitis.METABOLOMICS,10(2),280-290. |
| MLA | Bjerrum, Jacob Tveiten,et al."Integration of transcriptomics and metabonomics: improving diagnostics, biomarker identification and phenotyping in ulcerative colitis".METABOLOMICS 10.2(2014):280-290. |
入库方式： OAI收割
来源：武汉物理与数学研究所
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