Guo Xingyu, Suo Feng, Wang Yuting, Yu Di, Wang Yi, Dong Bulian, Gou Lingshan, Gan Xinhui, Wang Benjing, Yu Chaowen, Xie Xiaoxiang, Linghu Dandan, Liu Xinyu, Gu Maosheng, Xu Guowang
School of Chemistry, Dalian University of Technology, Dalian, 116024, China.
State Key Laboratory of Medical Proteomics, CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.
Anal Bioanal Chem. 2025 May;417(13):2889-2902. doi: 10.1007/s00216-025-05828-w. Epub 2025 Mar 17.
Congenital hypothyroidism (CH) can be detected early during thyroid-stimulating hormone (TSH) screening based on dried blood spot (DBS) samples. However, it falls short in differentiating between neonates with elevated TSH levels and those with CH, which leads to many neonates undergoing secondary diagnosis through venous blood sampling. Metabolomics was used to analyze metabolic alterations in neonates with CH, and identify DBS-based metabolite biomarkers for CH screening to reduce secondary diagnosis. Based on non-targeted metabolomics, the metabolic alterations in neonates with CH were analyzed in a discovery set and novel biomarkers were identified. The results of the discovery set revealed that the metabolic alterations in neonates with CH were primarily in amino acid and lipid metabolism, and identified novel metabolite biomarkers were thyroxine, 2-piperidinone, and PC (14:0/20:4). Then, these biomarkers were validated in a validation set, and the screening performance was still satisfactory. A rapid 3.5-min targeted method for three potential biomarkers was further developed and used to analyze a confirmation set. Analysis of the confirmation set re-validated the reliability of the biomarkers, and a biomarker combinational model equation and an appropriate cutoff value were defined. Each set of DBS samples included neonates with health, hyperthyrotropinemia, and CH. The novel metabolite biomarkers from DBS samples demonstrate significant potential for CH screening in neonates, effectively reducing the requirement associated with secondary diagnosis of mis-screened neonates.
先天性甲状腺功能减退症(CH)可在基于干血斑(DBS)样本的促甲状腺激素(TSH)筛查过程中早期检测出来。然而,它在区分TSH水平升高的新生儿和患有CH的新生儿方面存在不足,这导致许多新生儿通过静脉采血进行二次诊断。代谢组学被用于分析CH新生儿的代谢改变,并识别基于DBS的代谢物生物标志物用于CH筛查,以减少二次诊断。基于非靶向代谢组学,在一个发现集中分析了CH新生儿的代谢改变,并识别出了新的生物标志物。发现集的结果显示,CH新生儿的代谢改变主要在氨基酸和脂质代谢方面,并识别出的新代谢物生物标志物为甲状腺素、2-哌啶酮和PC(14:0/20:4)。然后,这些生物标志物在一个验证集中得到验证,其筛查性能仍然令人满意。进一步开发了一种针对三种潜在生物标志物的快速3.5分钟靶向方法,并用于分析一个确认集。对确认集的分析再次验证了这些生物标志物的可靠性,并定义了一个生物标志物组合模型方程和一个合适的临界值。每组DBS样本包括健康、高促甲状腺素血症和CH的新生儿。来自DBS样本的新代谢物生物标志物在新生儿CH筛查中显示出巨大潜力,有效减少了与筛查错误的新生儿二次诊断相关的需求。