Summary of Study ST002256

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 PR001443. The data can be accessed directly via it's Project DOI: 10.21228/M86H66 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.

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Study IDST002256
Study TitleMetabolomics and metagenomics of pediatric obesity (Serum)
Study SummaryPediatric obesity has grown as important global health problem in the world. The pediatric obesity affects all the organs and it is closely linked to risks of metabolic diseases such as diabetes, cardiovascular disease, and mental disease. However, the mechanism of both the pediatric obesity and treatment of the obesity remains unclear. Therefore, we investigated metabolomic pathways related to the pediatric obesity and the treatment through metabolomics and metagenomics approaches.
Institute
Seoul National University College of Medicine and Hospital
Last NameLee
First NameYujin
Address101, Daehak-ro, Jongno-gu, Seoul, Republic of Korea
Emailyoojinlee@snu.ac.kr
Phone+821033804686
Submit Date2022-06-27
Raw Data AvailableYes
Raw Data File Type(s)smp
Analysis Type DetailGC-MS
Release Date2023-01-04
Release Version1
Yujin Lee Yujin Lee
https://dx.doi.org/10.21228/M86H66
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

Select appropriate tab below to view additional metadata details:


Project:

Project ID:PR001443
Project DOI:doi: 10.21228/M86H66
Project Title:Mechanistic study of pediatric obesity through metabolomics and metagenomics
Project Summary:Pediatric obesity has grown as an important global health problem in the world. Pediatric obesity affects all the organs and it is closely linked to risks of metabolic diseases such as diabetes, cardiovascular disease, and mental disease. Although many researchers reported results about the pediatric obesity study, the mechanism of both pediatric obesity and its treatment remains unclear. Therefore, we investigated the metabolomic pathways related to pediatric obesity and the treatment through metabolomics and metagenomics approaches.
Institute:Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital
Last Name:Lee
First Name:Yujin
Address:101 Daehak-ro, Jongno-gu, Seoul 110-799, Korea, Seoul, Seoul, 03080, Korea, South
Email:yoojinlee@snu.ac.kr
Phone:+82-10-3380-4686

Subject:

Subject ID:SU002342
Subject Type:Human
Subject Species:Homo sapiens
Taxonomy ID:9606
Gender:Male and female

Factors:

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

mb_sample_id local_sample_id Gender Group
SA217107N14F Normal
SA217108N10F Normal
SA217109N15F Normal
SA217110N16F Normal
SA217111N22F Normal
SA217112N08F Normal
SA217113N12F Normal
SA217114N05F Normal
SA217115N03F Normal
SA217116M07F Obe
SA217117M14F Obe
SA217118M11F Obe
SA217119M10F Obe
SA217120M16F Obe
SA217121M09F Obe
SA217122M41F Obe
SA217123M25F Obe
SA217124M31F Obe
SA217125M06F Obe
SA217126M19F Obe
SA217127M32F Obe
SA217128M29F Obe
SA217129M08F Obe
SA217130M02F Obe
SA217131N17M Normal
SA217132N09M Normal
SA217133N07M Normal
SA217134N18M Normal
SA217135N06M Normal
SA217136N13M Normal
SA217137N19M Normal
SA217138N11M Normal
SA217139N02M Normal
SA217140N01M Normal
SA217141N04M Normal
SA217142N20M Normal
SA217143M33M Obe
SA217144M28M Obe
SA217145M37M Obe
SA217146M42M Obe
SA217147M40M Obe
SA217148M26M Obe
SA217149M36M Obe
SA217150M35M Obe
SA217151M21M Obe
SA217152M12M Obe
SA217153M15M Obe
SA217154M01M Obe
SA217155M03M Obe
SA217156M05M Obe
SA217157M17M Obe
SA217158M18M Obe
SA217159M23M Obe
SA217160M22M Obe
SA217161M04M Obe
SA217162M20M Obe
SA217163M24M Obe
Showing results 1 to 57 of 57

Collection:

Collection ID:CO002335
Collection Summary:This longitudinal cohort study is an analysis of serum samples collected from obese children before and after a 2-month weight reduction program that consisted of three visits to the hospital.
Sample Type:Blood (serum)

Treatment:

Treatment ID:TR002354
Treatment Summary:Participants completed the questionnaires on general lifestyle (the time spent studying and using electronic devices, the duration and frequency of regular exercise, the presence of easily accessible locations to exercise, and their mode of transportation to school) and eating habits (meal duration, the consumption of late-night snacks, the consumption of breakfast, and the intake of sugar-sweetened beverages) and submitted them at the first hospital visit.

Sample Preparation:

Sampleprep ID:SP002348
Sampleprep Summary:Frozen serum samples were thawed on ice. For preparation of the serum, a 50 µL sample was extracted using 1 mL of N2-degassed 1st extraction solution. Then, the samples were mixed for 10 min and centrifuged for 10 min at 18945 RCF and 4°C. The supernatant was dried for 6 hours at 45°C. The dried samples were re-extracted with 2nd extraction solution. Then, the extracted samples were redried for 8 hours under the same conditions used in the first extraction step. The dried samples were derivatized with methoxyamine at 30°C for 90 min and subsequently trimethylsilylated with a mixture of fatty acid methyl ester, which is used for the retention time index, in N-methyl-N-(trimethylsilyl)-trifluoroacetamide at 70°C for 45 min.

Combined analysis:

Analysis ID AN003685
Analysis type MS
Chromatography type GC
Chromatography system Agilent 7890B
Column Restek Rtx-5Sil (30m x 0.25mm,0.25um)
MS Type EI
MS instrument type GC-TOF
MS instrument name Leco Pegasus HT TOF
Ion Mode NEGATIVE
Units intensity

Chromatography:

Chromatography ID:CH002732
Instrument Name:Agilent 7890B
Column Name:Restek Rtx-5Sil (30m x 0.25mm,0.25um)
Chromatography Type:GC

MS:

MS ID:MS003436
Analysis ID:AN003685
Instrument Name:Leco Pegasus HT TOF
Instrument Type:GC-TOF
MS Type:EI
MS Comments:The LECO Corporation ChromaTOF®-GC software (v4.72) was used for data acquisition and extraction. This included computation of baseline (offset of 1; above the noise) and automatic entering the number of data points for smoothing. The software's Statistical Compare was used to align peaks. The MS spectral matching was performed using the NIST and Wiley9 libraries. Also, retention index method was used for identification.
Ion Mode:NEGATIVE
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