Shilo Smadar, Keshet Ayya, Halloun Rana, Bar Noam, Cohen Michal, Gal Shoshana, Oren Meirav, Glantz-Gashai Yitav, Malitsky Sergey, Itkin Maxim, Lotan-Pompan Maya, Godneva Anastasia, Weinberger Adina, Tiosano Dov, Segal Eran
Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.
Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
J Pediatr Endocrinol Metab. 2025 May 26. doi: 10.1515/jpem-2025-0098.
Growth hormone deficiency (GHD) diagnosis requires inadequate GH responses to two provocative tests, which are time-consuming and may cause side effects. Recent advancements in serum metabolomics offer potential novel biomarkers for medical conditions. This study investigated serum metabolomics in children with GHD to explore new diagnostic approaches and identify altered biological pathways.
We conducted a prospective study of 68 children (aged 3-18 years) undergoing growth hormone stimulation tests (GHST). Children with genetic syndromes, systemic illnesses, or end-stage renal disease were excluded. Untargeted metabolomics analysis using liquid chromatography-mass spectrometry (LC-MS) identified 951 circulating metabolites (280 polar and 671 lipids). From the 68 children evaluated, 25 children were diagnosed with GHD, and 41 children served as controls. Two children exhibited a suboptimal GH peak during the first GHST but did not undergo a second confirmatory test.
Significant differences were observed in 7 polar metabolites and 50 lipids between groups, but only phosphatidylserine (PS) (40:3) remained significant after false discovery rate correction. Cluster analysis revealed two lipid clusters significantly associated with GHD. Greater separation in metabolomic profiles was observed when a lower GH threshold was applied for diagnosis.
This study provides proof of concept for a unique lipidomics profile in children with GHD, highlighting its potential as a diagnostic tool. Larger-scale studies are required to validate these findings.
生长激素缺乏症(GHD)的诊断需要对两项激发试验的生长激素反应不足,这两项试验耗时且可能产生副作用。血清代谢组学的最新进展为医学疾病提供了潜在的新型生物标志物。本研究调查了生长激素缺乏症患儿的血清代谢组学,以探索新的诊断方法并确定改变的生物途径。
我们对68名接受生长激素刺激试验(GHST)的儿童(3 - 18岁)进行了一项前瞻性研究。排除患有遗传综合征、全身性疾病或终末期肾病的儿童。使用液相色谱 - 质谱联用(LC - MS)进行的非靶向代谢组学分析鉴定出951种循环代谢物(280种极性代谢物和671种脂质)。在评估的68名儿童中,25名儿童被诊断为生长激素缺乏症,41名儿童作为对照。两名儿童在首次生长激素刺激试验期间生长激素峰值未达最佳,但未进行第二次确诊试验。
两组之间在7种极性代谢物和50种脂质中观察到显著差异,但在错误发现率校正后,只有磷脂酰丝氨酸(PS)(40:3)仍具有显著性。聚类分析显示两个脂质簇与生长激素缺乏症显著相关。当应用较低的生长激素阈值进行诊断时,在代谢组学图谱中观察到更大的分离度。
本研究为生长激素缺乏症患儿独特的脂质组学图谱提供了概念验证,突出了其作为诊断工具的潜力。需要更大规模的研究来验证这些发现。