Department of Chemistry, Faculty of Experimental Sciences, University of Huelva, Campus de El Carmen, 21007, Huelva, Spain; International Agrofood Campus of Excellence International ceiA3, University of Huelva, Spain; Research Center of Natural Resources, Health and Environment (RENSMA), University of Huelva, Campus de El Carmen, 21007, Huelva, Spain.
Department of Chemistry, Faculty of Experimental Sciences, University of Huelva, Campus de El Carmen, 21007, Huelva, Spain; International Agrofood Campus of Excellence International ceiA3, University of Huelva, Spain; Research Center of Natural Resources, Health and Environment (RENSMA), University of Huelva, Campus de El Carmen, 21007, Huelva, Spain.
J Pharm Biomed Anal. 2019 Jan 30;163:122-129. doi: 10.1016/j.jpba.2018.09.055. Epub 2018 Sep 28.
This study explores for the first time the combination of serum, urine and bronchoalveolar lavage fluid (BALF) to deep insight into the pathology of lung cancer (LC) using a metabolomic platform based on gas chromatography mass spectrometry (GCMS). The study includes LC patients, healthy control group (HC) and a group of patients with noncancerous lung diseases (NCC) used as a control group respect to BALF because of the invasive nature this fluid collection. The metabolomic platform was applied to serum, urine and BALF samples in order to compare the metabolomic profiles of these biological fluids and establish metabolic similarities and differences between them. The application of PLS-DA presented a clear classification of groups for all types of samples, indicating the existence of altered metabolites in LC. Twenty six and thirty one perturbed metabolites in the LC were annotated in the comparison of serum and urine samples. On the other hand, sixteen metabolites were altered in BALF of LC patients compared to NCC. The pathway analysis indicated that several amino acid metabolic routes were the most affected in LC. Finally, ROC curves were applied to the dataset and metabolites with an AUC value higher than 0.75 were considered as relevant in the progression of LC.
本研究首次探索了联合使用血清、尿液和支气管肺泡灌洗液（BALF），通过基于气相色谱-质谱联用（GCMS）的代谢组学平台深入洞察肺癌（LC）的病理学。该研究包括 LC 患者、健康对照组（HC）和一组非癌症肺部疾病（NCC）患者，由于这种液体采集具有侵袭性，因此将 BALF 作为对照组。代谢组学平台应用于血清、尿液和 BALF 样本，以比较这些生物流体的代谢组学图谱，并确定它们之间的代谢相似性和差异。PLS-DA 的应用为所有类型的样本提供了明确的分组分类，表明 LC 存在代谢物改变。在血清和尿液样本的比较中，注释了 26 种和 31 种在 LC 中受干扰的代谢物。另一方面，与 NCC 相比，LC 患者的 BALF 中有 16 种代谢物发生改变。通路分析表明，在 LC 中，几种氨基酸代谢途径受到的影响最大。最后，对数据集应用了 ROC 曲线，AUC 值高于 0.75 的代谢物被认为与 LC 的进展相关。
