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PI3、ANXA1 和 VDR 的黏膜表达可区分克罗恩病和溃疡性结肠炎。

Mucosal expression of PI3, ANXA1, and VDR discriminates Crohn's disease from ulcerative colitis.

机构信息

Department of Pathology, Herlev University Hospital, Borgmester Ib Juuls Vej 73, 2730, Herlev, Denmark.

Bioneer A/S, Hørsholm, Kogle Allé 2, 2970, Hørsholm, Denmark.

出版信息

Sci Rep. 2023 Oct 27;13(1):18421. doi: 10.1038/s41598-023-45569-3.

Abstract

Differential diagnosis of inflammatory bowel disease (IBD) to Crohn's disease (CD) or ulcerative colitis (UC) is crucial for treatment decision making. With the aim of generating a clinically applicable molecular-based tool to classify IBD patients, we assessed whole transcriptome analysis on endoscopy samples. A total of 408 patient samples were included covering both internal and external samples cohorts. Whole transcriptome analysis was performed on an internal cohort of FFPE IBD samples (CD, n = 16 and UC, n = 17). The 100 most significantly differentially expressed genes (DEG) were tested in two external cohorts. Ten of the DEG were further processed by functional enrichment analysis from which seven were found to show consistent significant performance in discriminating CD from UC: PI3, ANXA1, VDR, MTCL1, SH3PXD2A-AS1, CLCF1, and CD180. Differential expression of PI3, ANXA1, and VDR was reproduced by RT-qPCR, which was performed on an independent sample cohort of 97 patient samples (CD, n = 44 and UC, n = 53). Gene expression levels of the three-gene profile, resulted in an area under the curve of 0.84 (P = 0.02) in discriminating CD from UC, and therefore appear as an attractive molecular-based diagnostic tool for clinicians to distinguish CD from UC.

摘要

对炎症性肠病 (IBD) 进行鉴别诊断,区分克罗恩病 (CD) 或溃疡性结肠炎 (UC),对于治疗决策至关重要。为了生成一种可用于临床的基于分子的工具来对 IBD 患者进行分类,我们评估了内镜样本的全转录组分析。共纳入了 408 例患者样本,包括内部和外部样本队列。对内部 FFPE IBD 样本队列(CD,n=16;UC,n=17)进行全转录组分析。在两个外部队列中测试了 100 个差异表达最显著的基因 (DEG)。对 10 个 DEG 进行了进一步的功能富集分析,其中 7 个基因在区分 CD 与 UC 方面表现出一致的显著性能:PI3、ANXA1、VDR、MTCL1、SH3PXD2A-AS1、CLCFl 和 CD180。PI3、ANXA1 和 VDR 的差异表达通过 RT-qPCR 在 97 例患者样本的独立样本队列中得到了重现(CD,n=44;UC,n=53)。三基因特征的表达水平,在区分 CD 与 UC 方面的曲线下面积为 0.84(P=0.02),因此似乎是一种有吸引力的基于分子的诊断工具,可帮助临床医生区分 CD 与 UC。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e2d/10611705/cefe206d68ac/41598_2023_45569_Fig1_HTML.jpg

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