Quantitative metabolic profiles of 2nd and 3rd trimester human amniotic fluid using (1)H HR-MAS spectroscopy.
Quantitative metabolic profiles of 2nd and 3rd trimester human amniotic fluid using (1)H HR-MAS spectroscopy.
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DOI：
10.1007/s10334-009-0184-0
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发表时间：
2009-12
期刊：
影响因子：
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通讯作者：
Swanson MG
中科院分区：
文献类型：
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作者：
Cohn BR;Joe BN;Zhao S;Kornak J;Zhang VY;Iman R;Kurhanewicz J;Vahidi K;Yu J;Caughey AB;Swanson MG
建立和比较第二和第三孕期人羊水样本中标准代谢物浓度，以揭示胎儿健康和发育的代谢生物标志物。采用1H高分辨魔角旋转（HR-MAS）光谱法比较妊娠第2（15 ~ 27周，N = 23）和第3（29 ~ 39周，N = 27）妊娠羊水样品中21种代谢物的浓度。使用电子参考获取体内浓度法获取数据，并使用针对高分辨率离体数据改进的半参数量子估计算法进行量化。21种代谢物中有16种在妊娠2、3个月组之间存在显著差异。甜菜碱（0.00846±0.00206 mmol/kg vs. 0.0133±0.0058 mmol/kg, P <0.002）和肌酐（0.0124±0.0058 mmol/kg vs. 0.247±0.011 mmol/kg, P <0.001）浓度显著升高，葡萄糖（5.96±1.66 mmol/kg vs. 2.41±1.69 mmol/kg, P <0.001）、柠檬酸盐（0.740±0.217 mmol/kg vs. 0.399±0.137 mmol/kg, P <0.001）、丙酮酸盐（0.0659±0.0103 mmol/kg vs. 0.0299±0.286 mmol/kg, P <0.001）和多种氨基酸（如丙氨酸、谷氨酸、异亮氨酸、亮氨酸、赖氨酸、氨基酸）浓度显著升高。缬氨酸（valine）浓度随妊娠晚期显著降低。应用逐步多元线性回归模型对50个样本进行分析，结果表明丙氨酸、葡萄糖和肌酐浓度可以准确预测胎龄。这些结果为妊娠第2、3个月羊水代谢物浓度提供了关键的规范性数据，并为未来开发磁共振波谱（MRS）生物标志物来评估胎儿健康和发育提供了基础。
To establish and compare normative metabolite concentrations in 2nd and 3rd trimester human amniotic fluid samples in an effort to reveal metabolic biomarkers of fetal health and development. Twenty-one metabolite concentrations were compared between 2nd (15–27 weeks gestation, N = 23) and 3rd (29–39 weeks gestation, N = 27) trimester amniotic fluid samples using 1H high resolution magic angle spinning (HR-MAS) spectroscopy. Data were acquired using the electronic reference to access in vivo concentrations method and quantified using a modified semi-parametric quantum estimation algorithm modified for high-resolution ex vivo data. Sixteen of 21 metabolite concentrations differed significantly between 2nd and 3rd trimester groups. Betaine (0.00846±0.00206 mmol/kg vs. 0.0133±0.0058 mmol/kg, P <0.002) and creatinine (0.0124±0.0058 mmol/kg vs. 0.247±0.011 mmol/kg, P <0.001) concentrations increased significantly, while glucose (5.96±1.66 mmol/kg vs. 2.41±1.69 mmol/kg, P <0.001), citrate (0.740±0.217 mmol/kg vs. 0.399±0.137 mmol/kg, P <0.001), pyruvate (0.0659±0.0103 mmol/kg vs. 0.0299±0.286 mmol/kg, P <0.001), and numerous amino acid (e.g. alanine, glutamate, isoleucine, leucine, lysine, and valine) concentrations decreased significantly with advancing gestation. A stepwise multiple linear regression model applied to 50 samples showed that gestational age can be accurately predicted using combinations of alanine, glucose and creatinine concentrations. These results provide key normative data for 2nd and 3rd trimester amniotic fluid metabolite concentrations and provide the foundation for future development of magnetic resonance spectroscopy (MRS) biomarkers to evaluate fetal health and development.