Magnetic Resonance Materials in Physics, Biology and Medicine

, 22:343

Quantitative metabolic profiles of 2nd and 3rd trimester human amniotic fluid using 1H HR-MAS spectroscopy

Authors

  • Brad R. Cohn
    • Department of Radiology & Biomedical ImagingUniversity of California
    • Department of Radiology & Biomedical ImagingUniversity of California
  • Shoujun Zhao
    • Department of Radiology & Biomedical ImagingUniversity of California
  • John Kornak
    • Department of Radiology & Biomedical ImagingUniversity of California
    • Department of Epidemiology & BiostatisticsUniversity of California
  • Vickie Y. Zhang
    • Department of Radiology & Biomedical ImagingUniversity of California
  • Rahwa Iman
    • Department of Radiology & Biomedical ImagingUniversity of California
  • John Kurhanewicz
    • Department of Radiology & Biomedical ImagingUniversity of California
  • Kiarash Vahidi
    • Department of Radiology & Biomedical ImagingUniversity of California
  • Jingwei Yu
    • Department of Laboratory MedicineUniversity of California
  • Aaron B. Caughey
    • Department of Obstetrics & GynecologyUniversity of California
  • Mark G. Swanson
    • Department of Radiology & Biomedical ImagingUniversity of California
Open AccessResearch Article

DOI: 10.1007/s10334-009-0184-0

Cite this article as:
Cohn, B.R., Joe, B.N., Zhao, S. et al. Magn Reson Mater Phy (2009) 22: 343. doi:10.1007/s10334-009-0184-0

Abstract

Object

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.

Materials and methods

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.

Results

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.

Conclusion

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.

Keywords

Electronic reference to access in vivo concentrations (ERETIC)Gestational ageHigh-resolution magic angle spinning (HR-MAS)SpectroscopyHigh-resolution quantum estimation (HR-QUEST)Human amniotic fluid
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Copyright information

© The Author(s) 2009