预测生物化学反应的预测者对 somatostatin 受体连接体在壮病中的反应
Mónica Marazuela1, Rebeca Martínez-Hernandez2, Montserrat Marques-Pamies3
1Department of Endocrinology and Nutrition Hospital Universitario La Princesa, Universidad Autónoma de Madrid,Instituto de Investigación Princesa, and Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER GCV14/ER/12), Madrid, Spain.
概括
壮症治疗反应的预测因素存在,但缺乏临床指导方针整合. 结合系统生物学和人工智能,可以通过完善对体静止素受体连接体的生物标志物使用来实现个性化医疗.
科学领域:
- 内分泌学 在内分泌学.
- 生物标志物研究 生物标志物研究
背景情况:
- 已知第一代体静止素受体连接体 (fg-SRLs) 和巨反应的预测因子,但在临床上不推.
- 已经确定了许多临床,功能,放射和分子生物标志物,在手术前和手术后具有不同的适用性.
研究的目的:
- 审查目前关于fg-SRLs和巨反应预测因子的知识.
- 讨论已识别的生物标志物的临床实用性,并探索未来的研究方向.
主要方法:
- 对索马托斯坦素受体结合体治疗在壮病中的已识别的生物标志物的综述.
- 讨论生物标志物分析的经典统计方法的局限性.
- 探索系统生物学和人工智能,以整合生物标志物.
主要成果:
- fg-SRLs的关键预测因素包括低基底GH,低GH点在八基测试中,T2MRI低血压,密集颗粒型,高索马托斯塔丁受体2 (SSTR2) 染色,和E-cadherin.
- 关于最有用的生物标志物及其在临床实践中的整合,缺乏共识.
- 传统的统计方法很难为单个生物标志物定义可靠的切线值.
结论:
- 已经确定了壮症治疗反应的生物标志物,但需要更好地纳入临床实践.
- 系统生物学和人工智能通过完善生物标志物分析,为个性化医疗提供了潜在的解决方案.
- 未来的研究应该专注于开发用于临床指南中的生物标志物利用的可靠方法.
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