Summary of Study ST002797

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench,, where it has been assigned Project ID PR001745. The data can be accessed directly via it's Project DOI: 10.21228/M8513X This work is supported by NIH grant, U2C- DK119886.


This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST002797
Study TitleFetal metabolic adaptations to cardiovascular stress in twin-twin transfusion syndrome
Study SummaryMonochorionic-diamniotic twin pregnancies comprise 70% of identical twin pregnancies and are susceptible to unique complications arising from a single placenta shared by two fetuses. Twin-twin transfusion syndrome (TTTS) is a constellation of disturbances caused by unequal blood flow within the shared placenta giving rise to a major hemodynamic imbalance between the twins. If untreated, it leads to fetal cardiac failure and death. Here, we applied TTTS as a model to uncover fetal metabolic adaptations to cardiovascular stress. We compared untargeted mass spectrometry-based metabolomic analyses of amniotic fluid samples from a cohort of severe TTTS cases showing sonographic evidence of increased afterload and heart failure vs. uncomplicated singleton controls. Amniotic fluid metabolites demonstrated footprints of changes in fatty acid, glucose, and steroid hormone metabolism in TTTS. Among TTTS cases, unsupervised principal component analysis revealed two distinct clusters of disease defined by levels of glucose metabolites, amino acids, urea, and redox status. Our results suggest that the human fetal heart can adapt to hemodynamic stress by modulating its glucose metabolism. Furthermore, we have uncovered heterogeneity among cases of severe TTTS suggesting potential differences in the ability of individual fetuses to respond to cardiovascular stress.
University of Texas Health Science Center at Houston
Last NameParchem
First NameJacqueline
Address6431 Fannin, MSB 3.286
Submit Date2023-07-01
Raw Data AvailableYes
Raw Data File Type(s)mzdata.xml
Analysis Type DetailLC-MS
Release Date2023-08-15
Release Version1
Jacqueline Parchem Jacqueline Parchem application/zip

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Sample Preparation:

Sampleprep ID:SP002910
Sampleprep Summary:Amniotic fluid metabolites were extracted by addition of 1 part amniotic fluid to 15 parts 70% acetonitrile in ddH2O (vol:vol). The mixture was briefly vortexed and then centrifuged for 5 min at 16,000 × g to pellet precipitated proteins. The protein pellet was solubilized in 0.2M NaOH and quantified by DC Protein Assay (Bio-Rad). The volume of metabolite extract was normalized by amniotic protein content.