Summary of Study ST002261

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.

Perform statistical analysis  |  Show all samples  |  Show named metabolites  |  Download named metabolite data  
Download mwTab file (text)   |  Download mwTab file(JSON)   |  Download data files (Contains raw data)
Study IDST002261
Study TitleInvestigating metabolic pathways of pediatric obesity (urine)
Study SummaryThe pediatric obesity influences all the organs and is closely linked to an increased risk of diverse diseases such as diabetes, cardiovascular, stroke, social problems and depression. Therefore, there is needed to diverse study for effective methods for the prevention and treatment of pediatric obesity. Diverse evidences suggest that gut microbiome and its metabolites affect metabolic disease such as obesity, diabetes, and heart disease. Previous studies in human and fecal transplantation experiments in animal models identified connections between the metabolic diseases and gut microbiota [4]. Moreover, metabolites can be fulfilled as diagnostic, prognostic, and therapeutic targets for diseases. Thus, approaches using metagenomics and metabolomics have the potential to provide new insights into metabolomic pathways of the diseases and help personalized and efficient treatments. In this study, we aimed to investigate metabolomic pathways of pediatric obesity analyzing both metabolome and microbiome profiles. In addition, we proceeded obese intervention with obese children to examine underlying metabolomic pathways related to effect of the intervention.
Institute
Seoul National University College of Medicine and Hospital
DepartmentDepartment of Clinical Pharmacology and Therapeutics
Last NameLee
First NameYujin
Address101 Daehak-ro, Jongno-gu, Seoul 110-799, Korea, Seoul, Seoul, 03080, Korea, South
Emailyoojinlee@snu.ac.kr
Phone+82-10-3380-4686
Submit Date2022-07-04
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:SU002347
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
SA217274N10F Normal
SA217275N12F Normal
SA217276N14F Normal
SA217277N08F Normal
SA217278N19F Normal
SA217279N04F Normal
SA217280N22F Normal
SA217281M10F Obe
SA217282M11F Obe
SA217283M06F Obe
SA217284M07F Obe
SA217285M09F Obe
SA217286M14F Obe
SA217287M19F Obe
SA217288M32F Obe
SA217289M41F Obe
SA217290M31F Obe
SA217291M29F Obe
SA217292M02F Obe
SA217293M25F Obe
SA217294M16F Obe
SA217295M08F Obe
SA217296N11M Normal
SA217297N13M Normal
SA217298N16M Normal
SA217299N05M Normal
SA217300N06M Normal
SA217301N09M Normal
SA217302N07M Normal
SA217303N17M Normal
SA217304N15M Normal
SA217305N01M Normal
SA217306N03M Normal
SA217307N21M Normal
SA217308N20M Normal
SA217309N02M Normal
SA217310N18M Normal
SA217311M42M Obe
SA217312M28M Obe
SA217313M35M Obe
SA217314M40M Obe
SA217315M26M Obe
SA217316M37M Obe
SA217317M36M Obe
SA217318M33M Obe
SA217319M20M Obe
SA217320M12M Obe
SA217321M15M Obe
SA217322M05M Obe
SA217323M04M Obe
SA217324M03M Obe
SA217325M17M Obe
SA217326M18M Obe
SA217327M23M Obe
SA217328M22M Obe
SA217329M21M Obe
SA217330M01M Obe
SA217331M24M Obe
Showing results 1 to 58 of 58

Collection:

Collection ID:CO002340
Collection Summary:This longitudinal cohort study is an analysis of urine samples collected from obese children before and after a 2-month weight reduction program that consisted of three visits to the hospital.
Sample Type:Urine

Treatment:

Treatment ID:TR002359
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:SP002353
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 AN003694
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:CH002737
Instrument Name:Agilent 7890B
Column Name:Restek Rtx-5Sil (30m x 0.25mm,0.25um)
Chromatography Type:GC

MS:

MS ID:MS003445
Analysis ID:AN003694
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
  logo