TY - JOUR
T1 - Quantitative metabolic profiles of 2nd and 3rd trimester human amniotic fluid using 1H HR-MAS spectroscopy
AU - Cohn, Brad R.
AU - Joe, Bonnie N.
AU - Zhao, Shoujun
AU - Kornak, John
AU - Zhang, Vickie Y.
AU - Iman, Rahwa
AU - Kurhanewicz, John
AU - Vahidi, Kiarash
AU - Yu, Jingwei
AU - Caughey, Aaron B.
AU - Swanson, Mark G.
N1 - Funding Information:
Acknowledgments The authors acknowledge and thank Drs. Hélène Ratiney and Herald Rabeson of Creatis-Lrmn, University of Lyon, for providing the HR-QUEST algorithm used in this research. We also thank Drs. Mark J. Albers, Andrew S. Zektzer, and Daina Avizonis for technical support and helpful discussions. This work was supported in part by grants from the RSNA Research and Education Foundation (Berlex Laboratories/RSNA Research Scholar Grant), the UCSF Research Evaluation and Allocation Committee, and the UCSF Academic Senate Committee on Research. In addition, this publication was made possible by Grant Number: 1 TL1 RR 024129 from the National Center for Research Resources (NCRR), a component of the National Institutes of Health (NIH), and NIH Roadmap for Medical Research. Its contents are solely the responsibility of the authors and do not necessarily represent the official view of NCRR of NIH. Information on NCRRisavailableathttp://www.ncrr.nih.gov/.InformationonRe-engineering the Clinical Research Enterprise can be obtained from http:// nihroadmap.nih.gov/clinicalresearch/overview-translational.asp.
PY - 2009/12
Y1 - 2009/12
N2 - 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.
AB - 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.
KW - Electronic reference to access in vivo concentrations (ERETIC)
KW - Gestational age
KW - High-resolution magic angle spinning (HR-MAS)
KW - High-resolution quantum estimation (HR-QUEST)
KW - Human amniotic fluid
KW - Spectroscopy
UR - http://www.scopus.com/inward/record.url?scp=76649087316&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=76649087316&partnerID=8YFLogxK
U2 - 10.1007/s10334-009-0184-0
DO - 10.1007/s10334-009-0184-0
M3 - Article
C2 - 19779747
AN - SCOPUS:76649087316
SN - 0968-5243
VL - 22
SP - 343
EP - 352
JO - Magnetic Resonance Materials in Physics, Biology, and Medicine
JF - Magnetic Resonance Materials in Physics, Biology, and Medicine
IS - 6
ER -