Summary of Study ST000315

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 PR000254. The data can be accessed directly via it's Project DOI: 10.21228/M8Z88C This work is supported by NIH grant, U2C- DK119886.

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Study ID	ST000315
Study Title	Metabolomics and Childhood Obesity: A Pilot and Feasibility Study With Multiple Phenotypic Anchors
Study Type	Metabolomics
Study Summary	“Metabolomics” is a powerful new analytical approach for measuring and evaluating all small and intermediate sized metabolites in a variety of tissues or samples in conditions of health and disease. The purpose of this research is to determine if “metabolomics” can be used to address several important unanswered questions about obesity in children. First we will use metabolomics to identify patterns of metabolites in blood that are unique to obese children. We will then determine if these patterns are predictive of excessive weight gain and/or poor weight loss response in non-obese and obese children enrolled in an exercise program.
Institute	University of North Carolina
Department	Systems and Translational Sciences
Laboratory	Sumner Lab
Last Name	Sumner
First Name	Susan
Address	Eastern Regional Comprehensive Metabolomics Resource Core, UNC Nutrition Research Institute, 500 Laureate Way, Kannapolis, NC, 28081
Email	susan_sumner @unc.edu
Phone	704-250-5066
Submit Date	2015-12-31
Total Subjects	219
Raw Data Available	Yes
Raw Data File Type(s)	fid
Analysis Type Detail	NMR
Release Date	2016-12-31
Release Version	1

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Project:

Project ID:	PR000254
Project DOI:	doi: 10.21228/M8Z88C
Project Title:	Metabolomics and Childhood Obesity: A Pilot and Feasibility Study With Multiple Phenotypic Anchors
Project Summary:	“Metabolomics” is a powerful new analytical approach for measuring and evaluating all small and intermediate sized metabolites in a variety of tissues or samples in conditions of health and disease. The purpose of this research is to determine if “metabolomics” can be used to address several important unanswered questions about obesity in children. First we will use metabolomics to identify patterns of metabolites in blood that are unique to obese children. We will then determine if these patterns are predictive of excessive weight gain and/or poor weight loss response in non-obese and obese children enrolled in an exercise program. This knowledge will help us understand why some children are destined to become obese and/or are poorly responsive to treatment. This will help identify children who might need more aggressive, expensive or personally tailored obesity treatments. Second we plan to use metabolomics to identify metabolic signals specifically associated with the early initiation of atherosclerosis (and hence increased risk for cardiovascular disease [CVD]) in obese children. We expect that this knowledge will ultimately lead to better early risk assessment and opportunities for risk reduction in both obese and non-obese children than allowed by current clinical practices. Finally the knowledge gained from this research could be applied in the future to prospectively assess – and therefore proactively manage ~ a broad range of risk factors in large numbers of young children in a rational and cost effective manner.
Institute:	East Carolina University
Department:	Pediatric Healthy Weight Research and Treatment Center
Last Name:	Collier
First Name:	David
Address:	174 Warren Life Sciences Bldg, East Carolina University, Greenville NC 27834
Email:	Collierd@ecu.edu
Phone:	252-744-3538

Subject:

Subject ID:	SU000335
Subject Type:	Human
Subject Species:	Homo sapiens
Taxonomy ID:	9606
Gender:	male/female
Species Group:	Human

Factors:

Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)

mb_sample_id	local_sample_id	Group
SA014191	4559 pp pre S_63	Acute Control
SA014192	4843 pre S_67	Acute Control
SA014193	8888B grp3 S_143	Acute Control
SA014194	2032-2603 S_18	Acute Control
SA014195	3560 grp3 S_41	Acute Control
SA014196	9407 G3 S_155	Acute Control
SA014197	2063 grp3 S_9	Acute Control
SA014198	8776 G3 S_139	Acute Control
SA014199	2781 pre S_23	Acute Control
SA014200	9005 pp S_144	Acute Control
SA014201	7918 G3 S_126	Acute Control
SA014202	8840 G3 S_140	Acute Control
SA014203	8617B G3 S_137	Acute Control
SA014204	7343 pre S_111	Acute Control
SA014205	7443 grp3 S_113	Acute Control
SA014206	6737 G3 S_106	Acute Control
SA014207	1356 S_5	Acute Control
SA014208	0065 grp3 S_105	Acute Control
SA014209	9346 grp3 S_154	Acute Control
SA014210	4348 pp G3 S_58	Acute Control
SA014211	5399B pre S_74	Acute Control
SA014212	6073 G3 S_90	Acute Control
SA014213	6415 pp G3 S_98	Acute Control
SA014214	8770 S_138	Acute Control
SA014215	7701 post S_119	Exercise
SA014216	9817 pre S_164	Exercise
SA014217	2836 post S_27	Exercise
SA014218	6436 pre S_99	Exercise
SA014219	1234 pre S_3	Exercise
SA014220	9044B post S_150	Exercise
SA014221	9419 pre S_158	Exercise
SA014222	0817 pre S_133	Exercise
SA014223	2726 post S_22	Exercise
SA014224	0817 post S_134	Exercise
SA014225	8023 post S_128	Exercise
SA014226	0813 pre S_131	Exercise
SA014227	7879 post S_123	Exercise
SA014228	1615 pre S_6	Exercise
SA014229	4437 pre S_61	Exercise
SA014230	3427B post S_38	Exercise
SA014231	7896 pre S_124	Exercise
SA014232	9817 post S_165	Exercise
SA014233	2970 pre S_30	Exercise
SA014234	6018 post B S_87	Exercise
SA014235	2939 pre S_28	Exercise
SA014236	4829 post S_66	Exercise
SA014237	0210 pre S_12	Exercise
SA014238	3010 pre S_32	Exercise
SA014239	5399 pre S_72	Exercise
SA014240	4437 post S_62	Exercise
SA014241	3548 pre S_40	Exercise
SA014242	4924 pre S_70	Exercise
SA014243	4117 post S_53	Exercise
SA014244	1040 post S_2	Exercise
SA014245	5428B post S_78	Exercise
SA014246	0263 pre S_19	Exercise
SA014247	4117 pre S_52	Exercise
SA014248	0263 post S_20	Exercise
SA014249	2032-9698 post S_161	Exercise
SA014250	9698 pre S_160	Exercise
SA014251	3427B pre S_37	Exercise
SA014252	6484 post S_104	Exercise
SA014253	5942 pre S_82	Exercise
SA014254	9407B pre S_156	Exercise
SA014255	2939 post S_29	Exercise
SA014256	5824 pre S_81	Exercise
SA014257	4924 post S_71	Exercise
SA014258	4103B post S_51	Exercise
SA014259	9308 pre S_152	Exercise
SA014260	6737B pre S_107	Exercise
SA014261	6018B pre S_86	Exercise
SA014262	3853 post S_45	Exercise
SA014263	1234 post S_4	Exercise
SA014264	9044B pre S_149	Exercise
SA014265	8617 pre S_135	Exercise
SA014266	7443B pre S_114	Exercise
SA014267	9841 pre S_166	Exercise
SA014268	9419 post S_159	Exercise
SA014269	2726 pre S_21	Exercise
SA014270	5495 post S_80	Exercise
SA014271	9125 post S_151	Exercise
SA014272	4025 post S_49	Exercise
SA014273	4559B post S_64	Exercise
SA014274	2537 pre S_16	Exercise
SA014275	0210 post S_13	Exercise
SA014276	2032-5399 post S_73	Exercise
SA014277	8023 pre S_127	Exercise
SA014278	9731 post S_163	Exercise
SA014279	4829 pre S_65	Exercise
SA014280	3281 post S_34	Exercise
SA014281	5942 post S_83	Exercise
SA014282	2537 post S_17	Exercise
SA014283	7879 pre S_122	Exercise
SA014284	8088 post S_130	Exercise
SA014285	1040 pre S_1	Exercise
SA014286	9841 post S_167	Exercise
SA014287	9308 post S_153	Exercise
SA014288	6484 pre S_103	Exercise
SA014289	9731 pre S_162	Exercise
SA014290	3853 pre S_44	Exercise

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Collection:

Collection ID:	CO000329
Collection Summary:	-
Sample Type:	plasma
Storage Conditions:	-80 C

Treatment:

Treatment ID:	TR000349
Treatment Summary:	-

Sample Preparation:

Sampleprep ID:	SP000343
Sampleprep Summary:	Plasma samples were transferred to labeled tubes. A total of 219 study samples were thawed on ice for sample preparation200 uL of plasma sample were thawed and transferred to labeled tubes on ice where they were mixed with 50 uL Saline master mix (5mM Formate). Analytical quality control (QC) phenotypic pooled samples were generated by transferring a 25 µL of each sample of each respective phenotypical experimental sample into different 1.5 mL tubes. Whole study (total) pools were generated by transferring 200 uL of plasma from each Pool sample into a 2.0 mL tube. The tubes were vortexed for 4 min on a multi-tube vortexer and centrifuged at 16,000 rcf for 4 min. A 200 µl aliquot of the supernatant was transferred into pre-labeled 3mm NMR tubes for data acquisition on a 700 MHz spectrometer.

Sampleprep ID:

SP000343

Sampleprep Summary:

Plasma samples were transferred to labeled tubes. A total of 219 study samples were thawed on ice for sample preparation200 uL of plasma sample were thawed and transferred to labeled tubes on ice where they were mixed with 50 uL Saline master mix (5mM Formate). Analytical quality control (QC) phenotypic pooled samples were generated by transferring a 25 µL of each sample of each respective phenotypical experimental sample into different 1.5 mL tubes. Whole study (total) pools were generated by transferring 200 uL of plasma from each Pool sample into a 2.0 mL tube. The tubes were vortexed for 4 min on a multi-tube vortexer and centrifuged at 16,000 rcf for 4 min. A 200 µl aliquot of the supernatant was transferred into pre-labeled 3mm NMR tubes for data acquisition on a 700 MHz spectrometer.

Analysis:

Analysis ID:	AN000501
Laboratory Name:	David H. Murdock Research Institute.
Analysis Type:	NMR
Software Version:	TopSpin 3.2
Operator Name:	Kevin Knagge
Data Format:	fid, 1r
Num Factors:	5

NMR:

NMR ID:	NM000063
Analysis ID:	AN000501
Instrument Name:	Bruker
Instrument Type:	FT-NMR
NMR Experiment Type:	Other
Field Frequency Lock:	Deuterium
Standard Concentration:	0.5 mM
Spectrometer Frequency:	700 MHz
NMR Probe:	5 mm ATMA Cryoprobe
NMR Solvent:	D2O
NMR Tube Size:	5mm
Shimming Method:	Topshim
Pulse Sequence:	noesypr1d
Water Suppression:	yes
Receiver Gain:	4
Offset Frequency:	3295.2
Chemical Shift Ref Cpd:	DSS
Temperature:	298.1 K
Number Of Scans:	128
Dummy Scans:	4
Acquisition Time:	3.893
Spectral Width:	12.0227 ppm, 8.417 Hz
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:	DSS-D6
Binned Increment:	0.04
Binned Data Excluded Range:	EDTA (2.53 – 2.59 ppm, 2.68 -2.72 ppm, 3.05 – 3.28 ppm, and 3.56 – 3.66ppm); noise regions (5.40-5.68 ppm, 5.86-6.83 ppm, 7.23-7.68 ppm)