21三体综合征妊娠母体血清代谢组学研究

Serum metabolomics of pregnant women with fetal Trisomy 21 syndrome

  • 摘要: 目的 筛选妊娠母体血清中与21三体综合征相关的代谢标志物,探讨21三体综合征发病相关的代谢通路,进一步明确21三体综合征的发病机制,以指导临床针对性地对高风险人群进行早筛查和早诊断。方法 选取胎儿核型为21-三体综合征的孕妇(T21组)与胎儿核型正常的孕妇(正常组)作为研究对象,采用超高效液相色谱-串联质谱分析检测两组孕妇血清中的代谢物;分别通过主成分分析、随机森林分析和Welch-t检验等方法,探讨与21三体综合征可能相关的特异性代谢标志物及代谢途径。结果 T21组与正常组间差异最大的前30种代谢物,包括间酪胺磺胺、N1,N12-二乙酰精胺、羧乙基γ-氨基丁酸、邻磺基左旋酪氨酸、戊糖酸、2-氮己环酮、苯酚硫酸盐等,它们分别涉及氨基酸代谢、糖代谢、脂类代谢、多肽代谢、核苷酸代谢、血红素代谢等多种代谢途径,这些代谢物有望成为21三体综合征产前筛查的特异性代谢标志物。结论 本研究成功筛选获得了30种与21三体综合征可能相关的特异性代谢标志物及相关代谢通路,为临床针对性地对高风险人群进行早筛查和早诊断提供了新思路。

     

    Abstract: Objective To screen the specific metabolites associated with Trisomy 21 syndrome in the plasma of pregnant women,investigate the metabolic pathways and the pathogenesis of Trisomy 21,and guide the early screening and early diagnosis of high-risk population. Methods Pregnant women with normal karyotype or abnormal karyotype of Trisomy 21 syndrome were selected,and the components of serum metabolites were detected by UPLC-MS.Principal component analysis,Random forest analysis and Welch-t test were carried out to explore the specific metabolic markers and metabolic pathways related to Trisomy 21 syndrome. Results Thirtykinds of metabolic compounds were identified which strongly contributed to the variation between the normal group and the Trisomy 21 syndrome group,including tyramine sulfanilamide,N1,N12-diacetyl spermine,carboxyethyl gamma-aminobutyric acid,O-sulfo-L-tyrosine,pentose acid,2-Nring,aminophenol sulphate,etc.,and they were involved in amino acid metabolism,metabolism of sugar metabolism,lipid metabolism,polypeptide,nucleotide metabolism,heme metabolism and other metabolic pathways.All of these metabolic compounds were expected to become the potential metabolic markers of screening Trisomy 21 syndrome. Conclusion This study has successfully screened specific metabolic markers and metabolic pathways that may be related to Trisomy 21 syndrome,thus providing new ideas for clinical targeted early screening and early diagnosis of high-risk populations.

     

/

返回文章
返回