PDF(Pubmed)
Abstract：
BACKGROUND: Thyroid cancer (TC) is the predominant malignancy within the endocrine system. However, the standard method for TC diagnosis lacks the capability to identify the pathological condition of all thyroid lesions. The metabolomics approach has the potential to manage this problem by identifying differential metabolites.
OBJECTIVE: This study conducted a systematic review and meta-analysis of the NMR-based metabolomics studies in order to identify significant altered metabolites associated with TC.
METHODS: A systematic search of published literature in any language in three databases including Embase, PubMed, and Scopus was conducted. Out of 353 primary articles, 12 studies met the criteria for inclusion in the systematic review. Among these, five reports belonging to three articles were eligible for meta-analysis. The correlation coefficient of the orthogonal partial least squares discriminant analysis, a popular model in the multivariate statistical analysis of metabolomic data, was chosen for meta-analysis. The altered metabolites were chosen based on the fact that they had been found in at least three studies.
RESULTS: In total, 49 compounds were identified, 40 of which were metabolites. The increased metabolites in thyroid lesions compared normal samples included lactate, taurine, alanine, glutamic acid, glutamine, leucine, lysine, phenylalanine, serine, tyrosine, valine, choline, glycine, and isoleucine. Lipids were the decreased compounds in thyroid lesions. Lactate and alanine were increased in malignant versus benign thyroid lesions, while, myo-inositol, scyllo-inositol, citrate, choline, and phosphocholine were found to be decreased. The meta-analysis yielded significant results for three metabolites of lactate, alanine, and citrate in malignant versus benign specimens.
CONCLUSIONS: In this study, we provided a concise summary of 12 included metabolomic studies, making it easier for future researchers to compare their results with the prior findings.
CONCLUSIONS: It appears that the field of TC metabolomics will experience notable advancement, leading to the discovery of trustworthy diagnostic and prognostic biomarkers.
OBJECTIVE: This study conducted a systematic review and meta-analysis of the NMR-based metabolomics studies in order to identify significant altered metabolites associated with TC.
METHODS: A systematic search of published literature in any language in three databases including Embase, PubMed, and Scopus was conducted. Out of 353 primary articles, 12 studies met the criteria for inclusion in the systematic review. Among these, five reports belonging to three articles were eligible for meta-analysis. The correlation coefficient of the orthogonal partial least squares discriminant analysis, a popular model in the multivariate statistical analysis of metabolomic data, was chosen for meta-analysis. The altered metabolites were chosen based on the fact that they had been found in at least three studies.
RESULTS: In total, 49 compounds were identified, 40 of which were metabolites. The increased metabolites in thyroid lesions compared normal samples included lactate, taurine, alanine, glutamic acid, glutamine, leucine, lysine, phenylalanine, serine, tyrosine, valine, choline, glycine, and isoleucine. Lipids were the decreased compounds in thyroid lesions. Lactate and alanine were increased in malignant versus benign thyroid lesions, while, myo-inositol, scyllo-inositol, citrate, choline, and phosphocholine were found to be decreased. The meta-analysis yielded significant results for three metabolites of lactate, alanine, and citrate in malignant versus benign specimens.
CONCLUSIONS: In this study, we provided a concise summary of 12 included metabolomic studies, making it easier for future researchers to compare their results with the prior findings.
CONCLUSIONS: It appears that the field of TC metabolomics will experience notable advancement, leading to the discovery of trustworthy diagnostic and prognostic biomarkers.
摘要：
背景：甲状腺癌（TC）是内分泌系统中的主要恶性肿瘤。然而,TC诊断的标准方法缺乏识别所有甲状腺病变病理状况的能力。代谢组学方法有可能通过识别差异代谢物来解决这个问题。
目的：本研究对基于NMR的代谢组学研究进行了系统综述和荟萃分析，以确定与TC相关的显著改变的代谢产物。
方法：在包括Embase、PubMed,Scopus被指挥了.在353篇主要文章中，12项研究符合纳入系统评价的标准。其中,属于3篇文章的5份报告符合荟萃分析的条件.正交偏最小二乘判别分析的相关系数,代谢组学数据多元统计分析中的流行模型，选择进行荟萃分析。根据至少在三项研究中发现的事实选择改变的代谢物。
结果：总计，鉴定了49种化合物，其中40是代谢产物。与正常样本相比，甲状腺病变中增加的代谢物包括乳酸，牛磺酸,丙氨酸,谷氨酸，谷氨酰胺,亮氨酸,赖氨酸，苯丙氨酸,丝氨酸,酪氨酸,缬氨酸,胆碱，甘氨酸,和异亮氨酸.脂质是甲状腺病变中减少的化合物。恶性和良性甲状腺病变的乳酸和丙氨酸增加，while,肌醇,scyllo-肌醇,柠檬酸盐胆碱，发现磷酸胆碱减少。荟萃分析对乳酸的三种代谢物产生了重要的结果，丙氨酸,恶性和良性标本中的柠檬酸盐。
结论：在这项研究中，我们提供了12项纳入代谢组学研究的简明摘要，使未来的研究人员更容易将他们的结果与先前的发现进行比较。
结论：看来TC代谢组学领域将取得显著进展，导致发现值得信赖的诊断和预后生物标志物。
目的：本研究对基于NMR的代谢组学研究进行了系统综述和荟萃分析，以确定与TC相关的显著改变的代谢产物。
方法：在包括Embase、PubMed,Scopus被指挥了.在353篇主要文章中，12项研究符合纳入系统评价的标准。其中,属于3篇文章的5份报告符合荟萃分析的条件.正交偏最小二乘判别分析的相关系数,代谢组学数据多元统计分析中的流行模型，选择进行荟萃分析。根据至少在三项研究中发现的事实选择改变的代谢物。
结果：总计，鉴定了49种化合物，其中40是代谢产物。与正常样本相比，甲状腺病变中增加的代谢物包括乳酸，牛磺酸,丙氨酸,谷氨酸，谷氨酰胺,亮氨酸,赖氨酸，苯丙氨酸,丝氨酸,酪氨酸,缬氨酸,胆碱，甘氨酸,和异亮氨酸.脂质是甲状腺病变中减少的化合物。恶性和良性甲状腺病变的乳酸和丙氨酸增加，while,肌醇,scyllo-肌醇,柠檬酸盐胆碱，发现磷酸胆碱减少。荟萃分析对乳酸的三种代谢物产生了重要的结果，丙氨酸,恶性和良性标本中的柠檬酸盐。
结论：在这项研究中，我们提供了12项纳入代谢组学研究的简明摘要，使未来的研究人员更容易将他们的结果与先前的发现进行比较。
结论：看来TC代谢组学领域将取得显著进展，导致发现值得信赖的诊断和预后生物标志物。
