Metabolomics reveals perturbations in endometrium and serum of minimal and mild endometriosis.

Metabolomics reveals perturbations in endometrium and serum of minimal and mild endometriosis.
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DOI:
10.1038/s41598-018-23954-7
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发表时间:
2018-04-24
期刊:
影响因子:
4.6
通讯作者:
Chaudhury K
Chaudhury K
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Dutta M;Singh B;Joshi M;Das D;Subramani E;Maan M;Jana SK;Sharma U;Das S;Dasgupta S;Ray CD;Chakravarty B;Chaudhury K

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子宫内膜异位症是一种常见的妇科良性疾病,以子宫内膜腺体和子宫外基质的生长和增生为特征。随着研究显示子宫内膜异位症妇女的各种生物流体中的代谢变化,我们已经着手调查子宫内膜组织是否显示出代谢谱的差异。对子宫内膜异位症妇女和对照组的在位子宫内膜组织进行1H NMR分析。使用多变量和单变量数据分析对光谱数据和从光谱获得的代谢物的相对浓度进行分析。分析表明,各种能量,生酮和生糖代谢产物在子宫内膜异位症的各个阶段具有显著改变的浓度。此外,还在这些患者的血清中探索了子宫内膜异位症最小和轻度阶段改变的组织代谢物,以评估它们在疾病诊断中的作用。对于I期诊断,发现丙氨酸具有90%的灵敏度(真阳性)和58%的特异性(真阴性)。对于II期诊断,血清中丙氨酸、亮氨酸、赖氨酸、脯氨酸和苯丙氨酸的水平显示出显著改变。虽然这些血清代谢物的灵敏度在69.2-100%之间变化,但特异性值在58.3- 91.7%之间。此外,用这组血清标志物生成的回归模型显示,对于II期诊断,灵敏度和特异性分别提高了100%和83%。
Endometriosis is a common benign gynecological disease, characterized by growth and proliferation of endometrial glands and stroma outside the uterus. With studies showing metabolic changes in various biofluids of endometriosis women, we have set upon to investigate whether endometrial tissue show differences in their metabolic profiles. 1H NMR analysis was performed on eutopic endometrial tissue of women with endometriosis and controls. Analysis was performed on spectral data and on relative concentrations of metabolites obtained from spectra using multivariate and univariate data analysis. Analysis shows that various energy, ketogenic and glucogenic metabolites have significant altered concentrations in various stages of endometriosis. In addition, altered tissue metabolites in minimal and mild stages of endometriosis were explored in serum of these patients to assess their role in disease diagnosis. For Stage I diagnosis alanine was found to have 90% sensitivity (true positives) and 58% specificity (true negatives). For Stage II diagnosis alanine, leucine, lysine, proline and phenylalanine showed significant altered levels in serum. While sensitivity of these serum metabolites varied between 69.2–100% the specificity values ranged between 58.3–91.7%. Further, a regression model generated with this panel of serum markers showed an improved sensitivity and specificity of 100% and 83%, respectively for Stage II diagnosis.
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