摘要
背景：类固醇激素属于一类低分子量的化合物，它们负责维持机体的各种功能，因此，它们的准确评估对生物合成缺陷的评估至关重要。发展可靠的疾病诊断方法对于提高早期发现与类固醇生成改变有关的各种疾病至关重要。目前，代谢组学领域在诊断方法的敏感性和特异性方面与传统的诊断方法相比有了一些改进。结合连字符技术和模式识别方法，可以对类固醇代谢途径的微小变化进行综合评估，并可作为生物标志物发现的工具。 方法：我们对文献进行了广泛的检索，并将各种文献数据库应用于同行评议的文章中，重点介绍了将连字符技术和模式识别方法应用于类固醇代谢组学方法中的生物标志物发现。 结果：综述了类固醇代谢组学的优势、挑战和最新进展。我们介绍了样本采集和制备方法、生物材料中类固醇激素的分离和检测方法、数据分析和解释，以及类固醇代谢组学在生物标志物发现（癌症、精神和中枢神经系统疾病、内分泌疾病、药物监测）中的应用实例。治疗和兴奋剂控制）。 结论：本文对代谢组学在生物标志物发现中的应用有一定的参考价值，特别是对类固醇激素合成和代谢紊乱的研究。
关键词: 代谢组学，生物标志物，类固醇激素，代谢谱，内分泌疾病，色谱，质谱。
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