Summary of Study ST002797
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, 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.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
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.
| Study ID | ST002797 |
| Study Title | Fetal metabolic adaptations to cardiovascular stress in twin-twin transfusion syndrome |
| Study Summary | Monochorionic-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. |
| Institute | University of Texas Health Science Center at Houston |
| Last Name | Parchem |
| First Name | Jacqueline |
| Address | 6431 Fannin, MSB 3.286 |
| jacqueline.g.parchem@uth.tmc.edu | |
| Phone | 415-250-6257 |
| Submit Date | 2023-07-01 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzdata.xml |
| Analysis Type Detail | LC-MS |
| Release Date | 2023-08-15 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN004550 | AN004551 |
|---|---|---|
| Analysis type | MS | MS |
| Chromatography type | Normal phase | Normal phase |
| Chromatography system | Agilent 6550 QTOF | Agilent 6550 QTOF |
| Column | MicroSolv Diamond Hydride (150 x 2.1mm, 4um) | MicroSolv Diamond Hydride (150 x 2.1mm, 4um) |
| MS Type | ESI | ESI |
| MS instrument type | QTOF | QTOF |
| MS instrument name | Agilent 6550 QTOF | Agilent 6550 QTOF |
| Ion Mode | POSITIVE | NEGATIVE |
| Units | intensity | intensity |
MS:
| MS ID: | MS004297 |
| Analysis ID: | AN004550 |
| Instrument Name: | Agilent 6550 QTOF |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | MS acquisition comments: For aqueous normal phase LC/MS-based metabolomics, 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. An aliquot of the resulting extract (3 mL) was subjected to LC/MS untargeted metabolite profiling in positive and negative ion modes as described previously described,64 using a platform comprised of an Agilent Model 1290 Infinity II liquid chromatography system coupled to an Agilent 6550 iFunnel time-of-flight MS analyzer. Chromatography of metabolites utilized aqueous normal phase (ANP) chromatography on a Diamond Hydride column (Microsolv). Mobile phases consisted of: (A) 50% isopropanol, containing 0.025% acetic acid, and (B) 90% acetonitrile containing 5 mM ammonium acetate. To eliminate the interference of metal ions on chromatographic peak integrity and electrospray ionization, EDTA was added to the mobile phase at a final concentration of 6 µM. The following gradient was applied: 0-1.0 min, 99% B; 1.0-15.0 min, to 20% B; 15.0 to 29.0, 0% B; 29.1 to 37min, 99% B. Mass spectrometer parameters used for both positive and negative ion mode data acquisition were as follows: drying gas temperature was 200°C with a flow rate of 14 L/min. Nebulizer pressure was at 35 psi. Sheath gas temperature was 350°C with a flow rate of 11 L/min. Capillary and nozzle voltage were at 3500V and 1000V, respectively. Mass spectra were acquired at a rate of 2 spectra/sec over the mass range of 100 to 1700 m/z. Data processing comments: Raw LC/MS data were analyzed using MassHunter Profinder 8.0 and MassProfiler Professional (MPP) 15.1 software (Agilent Technologies). To ascertain the identities of metabolites, LC/MS data were searched against an in-house annotated personal metabolite database created using MassHunter PCDL manager 8.0 (Agilent) based on monoisotopic neutral mass (<5 ppm mass accuracy) and chromatographic retention times of pure standards. A molecular formula generator (MFG) algorithm in MPP was used to generate and score empirical molecular formulae, based on a weighted consideration of monoisotopic mass accuracy, isotope abundance ratios, and spacing between isotope peaks. A tentative compound ID was assigned when the PCDL database and MFG scores concurred for a given candidate molecule. Software procedures used for feature assignments: Tentatively assigned molecules were confirmed based on a match of LC retention times and/or MS/MS fragmentation spectra for pure molecular standards. |
| Ion Mode: | POSITIVE |
| MS ID: | MS004298 |
| Analysis ID: | AN004551 |
| Instrument Name: | Agilent 6550 QTOF |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | MS acquisition comments: For aqueous normal phase LC/MS-based metabolomics, 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. An aliquot of the resulting extract (3 mL) was subjected to LC/MS untargeted metabolite profiling in positive and negative ion modes as described previously described,64 using a platform comprised of an Agilent Model 1290 Infinity II liquid chromatography system coupled to an Agilent 6550 iFunnel time-of-flight MS analyzer. Chromatography of metabolites utilized aqueous normal phase (ANP) chromatography on a Diamond Hydride column (Microsolv). Mobile phases consisted of: (A) 50% isopropanol, containing 0.025% acetic acid, and (B) 90% acetonitrile containing 5 mM ammonium acetate. To eliminate the interference of metal ions on chromatographic peak integrity and electrospray ionization, EDTA was added to the mobile phase at a final concentration of 6 µM. The following gradient was applied: 0-1.0 min, 99% B; 1.0-15.0 min, to 20% B; 15.0 to 29.0, 0% B; 29.1 to 37min, 99% B. Mass spectrometer parameters used for both positive and negative ion mode data acquisition were as follows: drying gas temperature was 200°C with a flow rate of 14 L/min. Nebulizer pressure was at 35 psi. Sheath gas temperature was 350°C with a flow rate of 11 L/min. Capillary and nozzle voltage were at 3500V and 1000V, respectively. Mass spectra were acquired at a rate of 2 spectra/sec over the mass range of 100 to 1700 m/z. Data processing comments: Raw LC/MS data were analyzed using MassHunter Profinder 8.0 and MassProfiler Professional (MPP) 15.1 software (Agilent Technologies). To ascertain the identities of metabolites, LC/MS data were searched against an in-house annotated personal metabolite database created using MassHunter PCDL manager 8.0 (Agilent) based on monoisotopic neutral mass (<5 ppm mass accuracy) and chromatographic retention times of pure standards. A molecular formula generator (MFG) algorithm in MPP was used to generate and score empirical molecular formulae, based on a weighted consideration of monoisotopic mass accuracy, isotope abundance ratios, and spacing between isotope peaks. A tentative compound ID was assigned when the PCDL database and MFG scores concurred for a given candidate molecule. Software procedures used for feature assignments: Tentatively assigned molecules were confirmed based on a match of LC retention times and/or MS/MS fragmentation spectra for pure molecular standards. |
| Ion Mode: | NEGATIVE |
