Summary of Study ST002300
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 PR001473. The data can be accessed directly via it's Project DOI: 10.21228/M8B40C 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 | ST002300 |
Study Title | Characterizing the intrauterine environment via untargeted metabolomics profiling of maternal blood collected during pregnancy (Healthy Start Cohort)-Part 2 |
Study Type | Prospective cohort study |
Study Summary | Healthy Start is a prospective, pre-birth cohort study that recruited pregnant participants from outpatient prenatal clinics at the University of Colorado Hospital between 2009 and 2014. Eligible participants were 16 years or older with singleton pregnancies, no history of stillbirth or extremely preterm birth (<25 weeks of gestation) and no serious medical conditions, and had not yet completed 24 weeks of gestation at the time of enrollment. Mothers completed two study visits during pregnancy (median gestational ages 17 and 27 weeks). Mother-child pairs were assessed at birth for neonatal outcomes, and are currently still being followed through 8-10 years postpartum (NB: outcomes for this proposal are at birth). For the present project, we will use data from 1,297 mother-child pairs with adequate maternal plasma at 17 and 27 gestational weeks for untargeted metabolomics profiling. Please contact Wei Perng at wei.perng@cuanschutz.edu for questions related to the subject characteristics and outcomes. This research was supported by the Environmental influences on Child Health Outcomes (ECHO) program, Office of The Director, National Institutes of Health. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Healthy Start is an ECHO cohort which is supported by the following ECHO Program Collaborators: ECHO Coordinating Center: Duke Clinical Research Institute, Durham, North Carolina: Smith PB, Newby KL, Benjamin DK; U2C OD023375 ECHO Data Analysis Center: Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland: Jacobson LP; Research Triangle Institute, Durham, North Carolina: Catellier D; U24 OD023382 North Carolina Human Health Exposure Analysis Resource Hub: Research Triangle Institute: Fennell T, University of North Carolina at Chapel Hill: Sumner S, University of North Carolina at Charlotte: Du X; U2C ES030857 Human Health Exposure Analysis Resource Coordinating Center: Westat, Inc., Rockville, Maryland: O’Brien B; U24 ES026539 |
Institute | University of Colorado Anschutz Medical Campus |
Department | Epidemiology; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center |
Last Name | Perng |
First Name | Wei |
Address | 1890 North Revere Court, Campus Box F426, Rm 1014, Aurora, CO 80010 |
Wei.Perng@CUAnschutz.edu | |
Phone | 734-717-0982 |
Submit Date | 2022-09-12 |
Total Subjects | 2202 |
Raw Data Available | Yes |
Raw Data File Type(s) | raw(Thermo) |
Chear Study | Yes |
Analysis Type Detail | LC-MS |
Release Date | 2023-10-02 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
Project ID: | PR001473 |
Project DOI: | doi: 10.21228/M8B40C |
Project Title: | Characterizing the intrauterine environment via untargeted metabolomics profiling of maternal blood collected during pregnancy (Healthy Start Cohort) |
Project Type: | C18 Reversed-Phase Broad Spectrum Metabolomics |
Project Summary: | This project is funded by the NIH Environmental influences on Child Health Outcomes (ECHO) program, and uses data from five cohorts: Healthy Start, Project Viva, Atlanta ECHO, Paneth Cohort, and PETALS. This project will generate new untargeted metabolomics profiling data at two time-points in pregnancy for all women in order to identify trimester-specific metabolomics signatures and longitudinal metabolomics trajectories associated with offspring birth size; identify the contribution of maternal sociodemographic and perinatal characteristics to the metabolomics signatures. |
Institute: | NC HHEAR Hub |
Department: | Untargeted Analysis |
Laboratory: | Sumner Lab |
Last Name: | Li |
First Name: | Yuanyuan |
Address: | 500 Laureate Way, Kannapolis, NC 28081 |
Email: | yuanyli4@unc.edu |
Phone: | 9843770693 |
Funding Source: | This research was supported by the Environmental influences on Child Health Outcomes (ECHO) program, Office of The Director, National Institutes of Health. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Healthy Start is an ECHO cohort which is supported by the following ECHO Program Collaborators: ECHO Coordinating Center: Duke Clinical Research Institute, Durham, North Carolina: Smith PB, Newby KL, Benjamin DK; U2C OD023375; ECHO Data Analysis Center: Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland: Jacobson LP; Research Triangle Institute, Durham, North Carolina: Catellier D; U24 OD023382; North Carolina Human Health Exposure Analysis Resource Hub: Research Triangle Institute: Fennell T, University of North Carolina at Chapel Hill: Sumner S, University of North Carolina at Charlotte: Du X; U2C ES030857; Human Health Exposure Analysis Resource Coordinating Center: Westat, Inc., Rockville, Maryland: O’Brien B; U24 ES026539 |
Subject:
Subject ID: | SU002386 |
Subject Type: | Human |
Subject Species: | Homo sapiens |
Taxonomy ID: | 9606 |
Gender: | Female |
Species Group: | Mammals |
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
mb_sample_id | local_sample_id | Sample Type |
---|---|---|
SA223686 | PZDa_HHEAR_149 | HHEAR Pool |
SA223687 | PZDa_HHEAR_148 | HHEAR Pool |
SA223688 | PZDa_HHEAR_150 | HHEAR Pool |
SA223689 | PZDa_HHEAR_151 | HHEAR Pool |
SA223690 | PZDa_HHEAR_152 | HHEAR Pool |
SA223691 | PZDa_HHEAR_147 | HHEAR Pool |
SA223692 | PZDa_HHEAR_145 | HHEAR Pool |
SA223693 | PZDa_HHEAR_142 | HHEAR Pool |
SA223694 | PZDa_HHEAR_141 | HHEAR Pool |
SA223695 | PZDa_HHEAR_143 | HHEAR Pool |
SA223696 | PZDa_HHEAR_144 | HHEAR Pool |
SA223697 | PZDa_HHEAR_153 | HHEAR Pool |
SA223698 | PZDa_HHEAR_146 | HHEAR Pool |
SA223699 | PZDa_HHEAR_155 | HHEAR Pool |
SA223700 | PZDa_HHEAR_163 | HHEAR Pool |
SA223701 | PZDa_HHEAR_162 | HHEAR Pool |
SA223702 | PZDa_HHEAR_164 | HHEAR Pool |
SA223703 | PZDa_HHEAR_165 | HHEAR Pool |
SA223704 | PZDa_HHEAR_166 | HHEAR Pool |
SA223705 | PZDa_HHEAR_161 | HHEAR Pool |
SA223706 | PZDa_HHEAR_160 | HHEAR Pool |
SA223707 | PZDa_HHEAR_156 | HHEAR Pool |
SA223708 | PZDa_HHEAR_140 | HHEAR Pool |
SA223709 | PZDa_HHEAR_157 | HHEAR Pool |
SA223710 | PZDa_HHEAR_158 | HHEAR Pool |
SA223711 | PZDa_HHEAR_159 | HHEAR Pool |
SA223712 | PZDa_HHEAR_154 | HHEAR Pool |
SA223713 | PZDa_HHEAR_138 | HHEAR Pool |
SA223714 | PZDa_HHEAR_121 | HHEAR Pool |
SA223715 | PZDa_HHEAR_120 | HHEAR Pool |
SA223716 | PZDa_HHEAR_122 | HHEAR Pool |
SA223717 | PZDa_HHEAR_123 | HHEAR Pool |
SA223718 | PZDa_HHEAR_124 | HHEAR Pool |
SA223719 | PZDa_HHEAR_119 | HHEAR Pool |
SA223720 | PZDa_HHEAR_118 | HHEAR Pool |
SA223721 | PZDa_HHEAR_114 | HHEAR Pool |
SA223722 | PZDa_HHEAR_113 | HHEAR Pool |
SA223723 | PZDa_HHEAR_115 | HHEAR Pool |
SA223724 | PZDa_HHEAR_116 | HHEAR Pool |
SA223725 | PZDa_HHEAR_117 | HHEAR Pool |
SA223726 | PZDa_HHEAR_125 | HHEAR Pool |
SA223727 | PZDa_HHEAR_126 | HHEAR Pool |
SA223728 | PZDa_HHEAR_135 | HHEAR Pool |
SA223729 | PZDa_HHEAR_134 | HHEAR Pool |
SA223730 | PZDa_HHEAR_136 | HHEAR Pool |
SA223731 | PZDa_HHEAR_137 | HHEAR Pool |
SA223732 | PZDa_HHEAR_167 | HHEAR Pool |
SA223733 | PZDa_HHEAR_133 | HHEAR Pool |
SA223734 | PZDa_HHEAR_132 | HHEAR Pool |
SA223735 | PZDa_HHEAR_128 | HHEAR Pool |
SA223736 | PZDa_HHEAR_127 | HHEAR Pool |
SA223737 | PZDa_HHEAR_129 | HHEAR Pool |
SA223738 | PZDa_HHEAR_130 | HHEAR Pool |
SA223739 | PZDa_HHEAR_131 | HHEAR Pool |
SA223740 | PZDa_HHEAR_139 | HHEAR Pool |
SA223741 | PZDa_HHEAR_168 | HHEAR Pool |
SA223742 | PZDa_HHEAR_204 | HHEAR Pool |
SA223743 | PZDa_HHEAR_203 | HHEAR Pool |
SA223744 | PZDa_HHEAR_205 | HHEAR Pool |
SA223745 | PZDa_HHEAR_206 | HHEAR Pool |
SA223746 | PZDa_HHEAR_207 | HHEAR Pool |
SA223747 | PZDa_HHEAR_202 | HHEAR Pool |
SA223748 | PZDa_HHEAR_201 | HHEAR Pool |
SA223749 | PZDa_HHEAR_197 | HHEAR Pool |
SA223750 | PZDa_HHEAR_196 | HHEAR Pool |
SA223751 | PZDa_HHEAR_198 | HHEAR Pool |
SA223752 | PZDa_HHEAR_199 | HHEAR Pool |
SA223753 | PZDa_HHEAR_200 | HHEAR Pool |
SA223754 | PZDa_HHEAR_209 | HHEAR Pool |
SA223755 | PZDa_HHEAR_210 | HHEAR Pool |
SA223756 | PZDa_HHEAR_219 | HHEAR Pool |
SA223757 | PZDa_HHEAR_218 | HHEAR Pool |
SA223758 | PZDa_HHEAR_220 | HHEAR Pool |
SA223759 | PZDa_HHEAR_221 | HHEAR Pool |
SA223760 | PZDa_HHEAR_1 | HHEAR Pool |
SA223761 | PZDa_HHEAR_217 | HHEAR Pool |
SA223762 | PZDa_HHEAR_216 | HHEAR Pool |
SA223763 | PZDa_HHEAR_212 | HHEAR Pool |
SA223764 | PZDa_HHEAR_211 | HHEAR Pool |
SA223765 | PZDa_HHEAR_213 | HHEAR Pool |
SA223766 | PZDa_HHEAR_214 | HHEAR Pool |
SA223767 | PZDa_HHEAR_215 | HHEAR Pool |
SA223768 | PZDa_HHEAR_195 | HHEAR Pool |
SA223769 | PZDa_HHEAR_194 | HHEAR Pool |
SA223770 | PZDa_HHEAR_177 | HHEAR Pool |
SA223771 | PZDa_HHEAR_176 | HHEAR Pool |
SA223772 | PZDa_HHEAR_178 | HHEAR Pool |
SA223773 | PZDa_HHEAR_179 | HHEAR Pool |
SA223774 | PZDa_HHEAR_180 | HHEAR Pool |
SA223775 | PZDa_HHEAR_175 | HHEAR Pool |
SA223776 | PZDa_HHEAR_174 | HHEAR Pool |
SA223777 | PZDa_HHEAR_170 | HHEAR Pool |
SA223778 | PZDa_HHEAR_169 | HHEAR Pool |
SA223779 | PZDa_HHEAR_171 | HHEAR Pool |
SA223780 | PZDa_HHEAR_172 | HHEAR Pool |
SA223781 | PZDa_HHEAR_173 | HHEAR Pool |
SA223782 | PZDa_HHEAR_181 | HHEAR Pool |
SA223783 | PZDa_HHEAR_182 | HHEAR Pool |
SA223784 | PZDa_HHEAR_190 | HHEAR Pool |
SA223785 | PZDa_HHEAR_189 | HHEAR Pool |
Collection:
Collection ID: | CO002379 |
Collection Summary: | Healthy Start is a prospective, pre-birth cohort study that recruited pregnant participants from outpatient prenatal clinics at the University of Colorado Hospital between 2009 and 2014. Eligible participants were 16 years or older with singleton pregnancies, no history of stillbirth or extremely preterm birth (<25 weeks of gestation) and no serious medical conditions, and had not yet completed 24 weeks of gestation at the time of enrollment. Mothers completed two study visits during pregnancy (median gestational ages 17 and 27 weeks). Mother-child pairs were assessed at birth for neonatal outcomes, and are currently still being followed through 8-10 years postpartum (NB: outcomes for this proposal are at birth). For the present project, we will use data from 1,297 mother-child pairs with adequate maternal plasma at 17 and 27 gestational weeks for untargeted metabolomics profiling. |
Sample Type: | Blood (serum) |
Storage Conditions: | -80℃ |
Treatment:
Treatment ID: | TR002398 |
Treatment Summary: | N/A |
Sample Preparation:
Sampleprep ID: | SP002392 |
Sampleprep Summary: | The LEAD Center of the University of Colorado Denver Anschutz Medical Campus aliquoted the study samples (50 µL) and made the total study pool sample according to the statement of work provided by UNC. These samples were shipped to the NC HHEAR Hub on dry ice. Before sample preparation, the NC HHEAR Hub thawed and mixed the total study pool samples and distributed them with 50 µL per aliquot, which were used as QC study pools throughout the whole study. HHEAR reference plasma (50 µL each) and NIST serum (909C) reference material (50 µL each) were provided by the NC HHEAR Hub. The LC-MS grade water (50 µL) was used as blank. Sample preparation was conducted by batch and all samples were thawed at 4°C overnight before the preparation. Samples, including study samples, study pool samples, HHEAR reference plasma, NIST reference serum, and blanks were mixed with 400 µL methanol containing 500 ng/mL tryptophan-d5 as internal standard and vortexed by a multiple tube vortex mixer for 2 min at 5000 rpm in room temperature. All samples were centrifuged at 16,000 rcf for 10 min at 4°C. The supernatant (350 µL) was transferred into a pre-labeled 2.0 mL Lo-bind Eppendorf tube, dried by a SpeedVac overnight, and stored at -80° C. For immediate analysis, 100 µL of water-methanol solution (95:5, v/v) was used to reconstitute the dried extracts. Samples were thoroughly mixed on a multiple tube vortex mixer for 10 min at 5000 rpm at room temperature and then centrifuged at 4°C for 10 min at 16,000 rcf. The supernatant was transferred to pre-labeled autosampler vials for data acquisition by LC-MS. |
Processing Storage Conditions: | On ice |
Extract Storage: | Described in summary |
Combined analysis:
Analysis ID | AN003756 |
---|---|
Analysis type | MS |
Chromatography type | Reversed phase |
Chromatography system | Thermo Scientific™ Vanquish™ UPHPLC |
Column | Waters ACQUITY UPLC HSS T3 (100 x 2.1mm,3um) |
MS Type | ESI |
MS instrument type | Orbitrap |
MS instrument name | Thermo Q Exactive HF-X Orbitrap |
Ion Mode | POSITIVE |
Units | m/z ratio |
Chromatography:
Chromatography ID: | CH002779 |
Chromatography Summary: | Reverse phase |
Instrument Name: | Thermo Scientific™ Vanquish™ UPHPLC |
Column Name: | Waters ACQUITY UPLC HSS T3 (100 x 2.1mm,3um) |
Column Pressure: | 6000-10000 |
Column Temperature: | 50 |
Flow Gradient: | Time(min) Flow Rate %A %B Curve 1. 0 0.4 99.0 1.0 5 2. 1.00 0.4 99.0 1.0 5 3. 16.00 0.4 1.0 99.0 5 4. 19.00 0.4 1.0 99.0 5 5. 19.50 0.4 99.0 1.0 5 6. 22.00 0.4 99.0 1.0 5 |
Flow Rate: | 0.4 ml/min |
Injection Temperature: | 8 |
Solvent A: | 100% water; 0.1% formic acid |
Solvent B: | 100% methanol; 0.1% formic acid |
Randomization Order: | Randomized |
Chromatography Type: | Reversed phase |
MS:
MS ID: | MS003499 |
Analysis ID: | AN003756 |
Instrument Name: | Thermo Q Exactive HF-X Orbitrap |
Instrument Type: | Orbitrap |
MS Type: | ESI |
MS Comments: | Instrument: Thermo Q Exactive HFx Software: Xcalibur 4.1.31.9 for data acquisition; Progenesis QI 2.4 for data preprocessing |
Ion Mode: | POSITIVE |
Capillary Temperature: | 320 °C |
Capillary Voltage: | 3.5 KV |
Collision Energy: | 20-45, ramp |
Collision Gas: | N2 |
Dry Gas Flow: | 55 |
Dry Gas Temp: | 400°C |
Fragmentation Method: | CID |
Desolvation Gas Flow: | 55 |