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Genomics and proteomics approaches to the study of cancer-stroma interactions.基因组学和蛋白质组学方法研究癌症-基质相互作用。
BMC Med Genomics. 2010 May 4;3:14. doi: 10.1186/1755-8794-3-14.
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Identification of markers of taxane sensitivity using proteomic and genomic analyses of breast tumors from patients receiving neoadjuvant paclitaxel and radiation.使用接受新辅助紫杉醇和放疗的患者的乳腺癌组织的蛋白质组学和基因组学分析来鉴定紫杉醇敏感性标志物。
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Proteomics for prediction and characterization of response to infliximab in Crohn's disease: a pilot study.蛋白质组学用于预测克罗恩病患者对英夫利昔单抗的反应并进行特征描述:一项试点研究
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Risk factors for pouch failure in patients with different phenotypes of Crohn's disease of the pouch.不同表型的克罗恩病储袋患者储袋失败的危险因素。
Inflamm Bowel Dis. 2008 Jul;14(7):942-8. doi: 10.1002/ibd.20409.
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Noninvasive markers in the assessment of intestinal inflammation in inflammatory bowel diseases: performance of fecal lactoferrin, calprotectin, and PMN-elastase, CRP, and clinical indices.炎症性肠病中肠道炎症评估的非侵入性标志物:粪便乳铁蛋白、钙卫蛋白、PMN弹性蛋白酶、CRP及临床指标的表现
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对黏膜和黏膜下结肠组织的蛋白质组学分析产生了可区分炎症性结肠炎的蛋白质特征。

Proteomic profiling of mucosal and submucosal colonic tissues yields protein signatures that differentiate the inflammatory colitides.

机构信息

Department of Biochemistry and Cancer Biology, Meharry Medical College, Nashville, Tennessee 37208-3599, USA.

出版信息

Inflamm Bowel Dis. 2011 Apr;17(4):875-83. doi: 10.1002/ibd.21442. Epub 2010 Aug 30.

DOI:10.1002/ibd.21442
PMID:20806340
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2997147/
Abstract

BACKGROUND

Differentiating ulcerative colitis (UC) from Crohn's colitis (CC) can be difficult and may lead to inaccurate diagnoses in up to 30% of inflammatory bowel disease (IBD) patients. Much of the diagnostic uncertainty arises from the overlap of clinical and histologic features. Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) permits a histology-directed cellular protein analysis of tissues. As a pilot study, we evaluated the ability of histology-directed MALDI-MS to determine the proteomic patterns for potential differences between CC and UC specimens.

METHODS

Mucosal and submucosal layers of CC and UC colon resection samples were analyzed after histologic assessment. To determine whether MALDI-MS would distinguish inflammation, the uninflamed (n = 21) versus inflamed submucosa (n = 22) were compared in UC and the uninflamed (n = 17) versus inflamed submucosa (n = 20) in CC. To determine whether there were proteomic differences between the colitides, the uninflamed UC submucosa (n = 21) was compared versus the uninflamed CC submucosa (n = 17), the inflamed UC submucosa (n = 22) was compared versus the inflamed CC submucosa (n = 20), and inflamed UC mucosa versus inflamed CC mucosa. Pairwise statistics comparisons of the subsets were performed.

RESULTS

Pairwise comparative analyses of the clinical groups allowed identifying subsets of features important for classification. Comparison of inflamed versus uninflamed CC submucosa showed two significant peaks: m/z 6445 (P = 0.0003) and 12692 (P = 0.003). In the case of inflamed versus uninflamed UC submucosa, several significant differentiating peaks were found, but classification was worse. Comparisons of the proteomic spectra of inflamed submucosa between UC and CC identified two discrete significant peaks: m/z 8773 (P = 0.006) and 9245 (P = 0.0009). Comparisons of the proteomic spectra of uninflamed submucosa between UC and CC identified three discrete significant peaks: m/z 2778 (P = 0.005), 9232 (P = 0.005), and 9519 (P = 0.005). No significantly different features were found between UC and CC inflamed mucosa.

CONCLUSIONS

MALDI-MS was able to distinguish CC and UC specimens while profiling the colonic submucosa. Further analyses and protein identification of the differential protein peaks may aid in accurately diagnosing IBD and developing appropriate personalized therapies.

摘要

背景

溃疡性结肠炎(UC)与克罗恩病结肠炎(CC)的鉴别可能较为困难,在高达 30%的炎症性肠病(IBD)患者中可能导致诊断不准确。大部分诊断上的不确定性源于临床和组织学特征的重叠。基质辅助激光解吸/电离质谱(MALDI-MS)允许对组织进行基于组织学的细胞蛋白质分析。作为一项初步研究,我们评估了基于组织学的 MALDI-MS 确定 CC 和 UC 标本之间潜在差异的蛋白质组模式的能力。

方法

对 CC 和 UC 结肠切除标本的黏膜和黏膜下层进行分析。为了确定 MALDI-MS 是否可以区分炎症,在 UC 中比较非炎症(n=21)与炎症性黏膜下层(n=22),在 CC 中比较非炎症(n=17)与炎症性黏膜下层(n=20)。为了确定结肠炎之间是否存在蛋白质组差异,比较非炎症性 UC 黏膜下层(n=21)与非炎症性 CC 黏膜下层(n=17)、炎症性 UC 黏膜下层(n=22)与炎症性 CC 黏膜下层(n=20)、以及炎症性 UC 黏膜与炎症性 CC 黏膜。对亚组进行两两统计比较。

结果

对临床组的两两比较分析允许确定对分类重要的特征子集。比较 CC 的炎症与非炎症黏膜下层显示出两个显著的峰:m/z 6445(P=0.0003)和 12692(P=0.003)。在 UC 的炎症与非炎症黏膜下层的情况下,发现了几个有显著差异的峰,但分类效果较差。比较 UC 和 CC 的炎症性黏膜下层的蛋白质组谱确定了两个离散的显著峰:m/z 8773(P=0.006)和 9245(P=0.0009)。比较 UC 和 CC 的非炎症性黏膜下层的蛋白质组谱确定了三个离散的显著峰:m/z 2778(P=0.005)、9232(P=0.005)和 9519(P=0.005)。在 UC 和 CC 的炎症性黏膜中未发现明显不同的特征。

结论

MALDI-MS 能够区分 CC 和 UC 标本,同时对结肠黏膜下层进行分析。对差异蛋白峰的进一步分析和蛋白鉴定可能有助于准确诊断 IBD 并制定适当的个体化治疗方案。