Summary of Study ST000939
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 PR000648. The data can be accessed directly via it's Project DOI: 10.21228/M8X38B 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 | ST000939 |
Study Title | Predicting and Defining Steroid Resistance in Pediatric Nephrotic Syndrome using Plasma Metabolomics |
Study Type | Discovery Metabolomics |
Study Summary | Paired citrate plasma samples were collected from 27 steroid-sensitive and 14 steroid-resistant nephrotic syndrome participants prior to beginning treatment and after an average of 7 weeks (range 3-19 wks) of treatment with a corticosteroid. |
Institute | RTI International |
Department | Discovery-Science-Technology |
Laboratory | NIH Eastern Regional Comprehensive Metabolomics Resource Core at UNC Chapel Hill (ERCMRC) |
Last Name | Sumner |
First Name | Susan |
Address | 3040 E. Cornwallis Road, Research Triangle Park, NC 27709, USA |
susan_sumner@unc.edu | |
Phone | 704-250-5000 |
Submit Date | 2018-03-01 |
Total Subjects | 86 |
Study Comments | Factor Description 1. Treatment Response R = Steroid Resistant; S = Steroid Sensitive; Steroid resistance was defined as failure to enter complete remission after 6-8 weeks of daily oral steroids; Steroid sensitive was defined as clinical remission after 6-8 weeks of daily oral steroids. 2. Draw Number Draw 1 sample, ‘Pre’, was collected at the time of disease presentation before even a single dose of glucocorticoids, and Draw 2 sample, ‘Post’, was collected after 6-10 weeks of Glucocorticoid therapy. 3. Age Age in years at the time of Draw 1, or 'Pre', sample collection Other sample data Weeks difference Time in weeks between draw 1, 'pre', and draw 2, 'post', treatment sample collection Gender M = male; F = female Race self-reported (Native American or Alaskan Native/Asian/Black or African American/Native Hawaiian or Other Pacific Islander/White/More than one race) Ethnicity self-reported (Hispanic or Latino/Not Hispanic or Latino/Unknown) |
Raw Data Available | Yes |
Analysis Type Detail | NMR |
Release Date | 2019-03-06 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
Project ID: | PR000648 |
Project DOI: | doi: 10.21228/M8X38B |
Project Title: | Defining and Predicting Steroid-Resistance in Children with Nephrotic Syndrome by Metabolic Profiling |
Project Type: | Metabolomics |
Project Summary: | Nephrotic syndrome (NS) is a very common kidney disease in children. Glucocorticoids (GC) are the primary therapy, but are ineffective in ~20% of children and ~50% of adult cases. Patients with steroid resistant NS (SRNS) fail to enter remission after prolonged oral GC treatment, and are at high risk for GC-induced side effects and progression to end-stage kidney disease. This study aimed to discover markers of steroid resistance that could be potentially used to predict SRNS at presentation, and develop an improved mechanistic definition of pediatric SRNS. Plasma samples were collected from 30 steroid sensitive NS (SSNS) and 15 SRNS patients, and paired samples analyzed which were collected both at disease presentation, prior to any steroid therapy, and after ~7 weeks of daily GC treatment. Broad spectrum 1HNMR data were acquired, binned, and concentration fit. Multivariate analyses and hypothesis testing were used to determine the metabolites that best differentiated the four phenotypic groups. Treatment effects on metabolomics profiles were observed between paired Pre- and Post- treatment SSNS groups, and between Post SSNS and SRNS groups. Metabolites most perturbed by GC treatment included lipoproteins , adipate, pyruvate, alanine, creatine, glucose, tyrosine, valine, and glutamine. Logistic regression using a stepwise variable selection method was used on Pre- samples to model the odds at clinical presentation of SRNS. After controlling for age, the step-wise logistic regression model selected increased glutamine (OR= 1.01; 0.99-1.02 95% CI) as a marker of SRNS. A similar model with children age >3 only, indicated that children with reduced levels of malonate (OR=0.94; 0.89-1.00 95% CI) had an increased odds of SRNS . Thus, malonate concentration may be a potential plasma biomarker for identifying SRNS at initial clinical presentation. |
Institute: | The Ohio State University;Nationwide Children’s Hospital |
Department: | Department of Pediatrics and Center for Clinical and Translational Research |
Last Name: | Smoyer; Agrawal |
First Name: | William; Shipra |
Address: | 700 Children's Drive, Columbus, OH 43205 |
Email: | William.Smoyer@nationwidechildrens.org and shipra.agrawal@nationwidechildrens.org |
Phone: | (614) 722-4360 |
Funding Source: | NIH Grants 1UMDK10086601, 1U24DK097193, and 7K01GM109320 |
Subject:
Subject ID: | SU000978 |
Subject Type: | Human |
Subject Species: | Homo sapiens |
Taxonomy ID: | 9606 |
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
mb_sample_id | local_sample_id | Treatment Response | Gender |
---|---|---|---|
SA055817 | TP2 | Pool | - |
SA055818 | TP1 | Pool | - |
SA055819 | TP3 | Pool | - |
SA055820 | TP4 | Pool | - |
SA055821 | S_41_A | Steroid Resistant | - |
SA055822 | S_14_B | Steroid Resistant | F |
SA055823 | S_9_A | Steroid Resistant | F |
SA055824 | S_9_B | Steroid Resistant | F |
SA055825 | S_21_A | Steroid Resistant | F |
SA055826 | S_15_A | Steroid Resistant | F |
SA055827 | S_17_B | Steroid Resistant | F |
SA055828 | S_26_B | Steroid Resistant | F |
SA055829 | S_17_A | Steroid Resistant | F |
SA055830 | S_20_B | Steroid Resistant | F |
SA055831 | S_21_B | Steroid Resistant | F |
SA055832 | S_2_A | Steroid Resistant | F |
SA055833 | S_2_B | Steroid Resistant | F |
SA055834 | S_20_A | Steroid Resistant | F |
SA055835 | S_26_A | Steroid Resistant | F |
SA055836 | S_43_A | Steroid Resistant | F |
SA055837 | S_14_A | Steroid Resistant | F |
SA055838 | S_15_B | Steroid Resistant | F |
SA055839 | S_43_B | Steroid Resistant | F |
SA055840 | S_35_B | Steroid Resistant | M |
SA055841 | S_35_A | Steroid Resistant | M |
SA055842 | S_40_B | Steroid Resistant | M |
SA055843 | S_44_B | Steroid Resistant | M |
SA055844 | S_44_A | Steroid Resistant | M |
SA055845 | S_3_A | Steroid Resistant | M |
SA055846 | S_3_B | Steroid Resistant | M |
SA055847 | S_13_A | Steroid Resistant | M |
SA055848 | S_40_A | Steroid Resistant | M |
SA055849 | S_13_B | Steroid Resistant | M |
SA055850 | S_16_B | Steroid Sensitive | - |
SA055851 | S_16_A | Steroid Sensitive | - |
SA055852 | S_33_A | Steroid Sensitive | F |
SA055853 | S_29_A | Steroid Sensitive | F |
SA055854 | S_33_B | Steroid Sensitive | F |
SA055855 | S_29_B | Steroid Sensitive | F |
SA055856 | S_36_A | Steroid Sensitive | F |
SA055857 | S_45_A | Steroid Sensitive | F |
SA055858 | S_38_A | Steroid Sensitive | F |
SA055859 | S_38_B | Steroid Sensitive | F |
SA055860 | S_34_A | Steroid Sensitive | F |
SA055861 | S_34_B | Steroid Sensitive | F |
SA055862 | S_24_B | Steroid Sensitive | F |
SA055863 | S_12_A | Steroid Sensitive | F |
SA055864 | S_12_B | Steroid Sensitive | F |
SA055865 | S_11_A | Steroid Sensitive | F |
SA055866 | S_18_A | Steroid Sensitive | F |
SA055867 | S_19_B | Steroid Sensitive | F |
SA055868 | S_22_B | Steroid Sensitive | F |
SA055869 | S_19_A | Steroid Sensitive | F |
SA055870 | S_10_A | Steroid Sensitive | F |
SA055871 | S_10_B | Steroid Sensitive | F |
SA055872 | S_5_A | Steroid Sensitive | F |
SA055873 | S_5_B | Steroid Sensitive | F |
SA055874 | S_7_B | Steroid Sensitive | F |
SA055875 | S_7_A | Steroid Sensitive | F |
SA055876 | S_8_A | Steroid Sensitive | F |
SA055877 | S_8_B | Steroid Sensitive | F |
SA055878 | S_22_A | Steroid Sensitive | F |
SA055879 | S_18_B | Steroid Sensitive | F |
SA055880 | S_24_A | Steroid Sensitive | F |
SA055881 | S_1_B | Steroid Sensitive | M |
SA055882 | S_27_B | Steroid Sensitive | M |
SA055883 | S_27_A | Steroid Sensitive | M |
SA055884 | S_42_B | Steroid Sensitive | M |
SA055885 | S_42_A | Steroid Sensitive | M |
SA055886 | S_6_A | Steroid Sensitive | M |
SA055887 | S_6_B | Steroid Sensitive | M |
SA055888 | S_1_A | Steroid Sensitive | M |
SA055889 | S_4_B | Steroid Sensitive | M |
SA055890 | S_4_A | Steroid Sensitive | M |
SA055891 | S_25_A | Steroid Sensitive | M |
SA055892 | S_28_B | Steroid Sensitive | M |
SA055893 | S_28_A | Steroid Sensitive | M |
SA055894 | S_25_B | Steroid Sensitive | M |
SA055895 | S_30_A | Steroid Sensitive | M |
SA055896 | S_31_B | Steroid Sensitive | M |
SA055897 | S_31_A | Steroid Sensitive | M |
SA055898 | S_32_B | Steroid Sensitive | M |
SA055899 | S_37_B | Steroid Sensitive | M |
SA055900 | S_37_A | Steroid Sensitive | M |
SA055901 | S_39_A | Steroid Sensitive | M |
SA055902 | S_23_A | Steroid Sensitive | M |
SA055903 | S_39_B | Steroid Sensitive | M |
SA055904 | S_23_B | Steroid Sensitive | M |
SA055905 | S_30_B | Steroid Sensitive | M |
SA055906 | S_32_A | Steroid Sensitive | M |
Showing results 1 to 90 of 90 |
Collection:
Collection ID: | CO000972 |
Collection Summary: | None |
Collection Protocol Comments: | Citrate plasma |
Sample Type: | Blood (plasma) |
Treatment:
Treatment ID: | TR000992 |
Treatment Summary: | None |
Sample Preparation:
Sampleprep ID: | SP000985 |
Sampleprep Summary: | Study sample aliquots of 180 µL were mixed with 60 µL 0.9% saline solution containing 0.2% NaN3 and 4 mM formate in D2O. A total pool was also created by combining 11 µL aliquots from each study sample, mixed thoroughly, divided into four 180 µL aliquots, and processed identically to study samples. All of the samples were thoroughly mixed on multiple tube vortex mixer for 30 s at 5000 rpm, centrifuged at room temperature and 12,000 rcf for 5 min. The supernatants (200 µL) were stored in a fresh 1.5 mL centrifuge tubes overnight at 4 C, before transfer into pre-labeled 3mm NMR tubes (Bruker-Biospin, Switzerland) on the day of analysis. |
Extract Storage: | 4℃ |
Analysis:
Analysis ID: | AN001540 |
Laboratory Name: | David H. Murdock Research Institute at Kannapolis, NC |
Analysis Type: | NMR |
Software Version: | Bruker TopSpin 3.2 |
Operator Name: | Kevin Knagge / Jessica Gooding |
Detector Type: | NMR |
Data Format: | 1r, fid |
Num Factors: | 7 |
Num Metabolites: | 28 |
Units: | mM in NMR Sample |
NMR:
NMR ID: | NM000119 |
Analysis ID: | AN001540 |
Instrument Name: | Bruker Avance III |
Instrument Type: | FT-NMR |
NMR Experiment Type: | 1D 1H |
Field Frequency Lock: | Deuterium |
Standard Concentration: | 1 mM |
Spectrometer Frequency: | 700 MHz |
NMR Probe: | CRYO QNP |
NMR Solvent: | D2O |
NMR Tube Size: | 3 mm |
Shimming Method: | topshim |
Pulse Sequence: | cpmgpr1d |
Water Suppression: | Yes |
Pulse Width: | 12.781 us |
Power Level: | 19 W |
Receiver Gain: | 4 |
Offset Frequency: | 3294.20 Hz |
Chemical Shift Ref Cpd: | formate |
Temperature: | 25 |
Number Of Scans: | 128 |
Dummy Scans: | 4 |
Acquisition Time: | 3.892 s |
Relaxation Delay: | 2 s |
Spectral Width: | 12 ppm |
Num Data Points Acquired: | 65536 |
Real Data Points: | 65536 |
Line Broadening: | 0.5 Hz |
Zero Filling: | yes |
Apodization: | Lorentzian |
Baseline Correction Method: | Polynomial |
Chemical Shift Ref Std: | Formate |
Binned Increment: | 0.04 |
Binned Data Excluded Range: | water (4.55 – 5.15 ppm) and citrate (2.47-2.565 and 2.61-2.70) |