Summary of Study ST001800

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 PR001136. The data can be accessed directly via it's Project DOI: 10.21228/M8VQ4D 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.

Show all samples  |  Perform analysis on untargeted data  
Download mwTab file (text)   |  Download mwTab file(JSON)   |  Download data files (Contains raw data)
Study IDST001800
Study TitleCHDWB human plasma exposomics analysis - 2
Study TypeUntargeted MS anlaysis
Study SummaryWe analyzed 80 archival samples from individuals (57 females, 23 males; aged 41 to 68 y) without known disease or occupational or environmental exposures of concern as a pilot to test the utility of XLE in large-scale human biomonitoring studies. Using a requirement for at least 3 co-eluting accurate mass m/z features ( 5 ppm) within 30 s of database retention time, we identified 49 chemicals belonging to various environmental chemical classes. An unsupervised 2-way hierarchical cluster analysis (HCA) of log transformed intensity showed clustering according to chemical class. In particular, persistent chemicals were highly correlated with each other (all raw P < 0.001), including p,p’-DDE, PCBs 153, 180, 138, 118 and 74, PBDE-47, hexachlorobenzene (HCB) and trans-nonachlor. Results showed a general increase of chemical levels with increasing age quartiles (Q3 and Q4 : 53 to 68 versus Q1 and Q2: 41 to 52) using unsupervised clustering, a trend particularly evident for the cluster of p,p’-DDE, PCBs 153, 180, 138, 118 and 74, PBDE-47, HCB and trans-nonachlor. Examination of data according to body mass index (BMI) showed that individuals with BMI ≥ 40 had lower levels of environmental chemicals, which may be attributed to high lipophilicity and propensity to distribute in adipose tissue versus plasma. Quantification with reference standardization showed that use of two SRM samples with differing environmental chemical concentrations can overcome variable batch effects in quantification for large-scale studies. Examples of the most frequently detected chemicals shows that overall distributions were positively skewed by a small subset of individuals with high concentrations.
Institute
Emory University
DepartmentMedicine/Pulmonary
LaboratoryDean Jones
Last NameHu
First NameXin
AddressEmory University Whitehead building (Rm 225), 615 Michael Street
Emailxin.hu2@emory.edu
Phone4047275091
Submit Date2021-05-06
Raw Data AvailableYes
Raw Data File Type(s)mzXML
Analysis Type DetailGC-MS
Release Date2021-05-28
Release Version1
Xin Hu Xin Hu
https://dx.doi.org/10.21228/M8VQ4D
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

Select appropriate tab below to view additional metadata details:

Factors:

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

mb_sample_id local_sample_id type
SA167269BL_200220_M393_604Plasma
SA167270BL_200220_M393_603Plasma
SA167271BL_200220_M393_602Plasma
SA167272BL_200220_M393_605Plasma
SA167273BL_200220_M393_606Plasma
SA167274BL_200220_M393_608Plasma
SA167275BL_200220_M393_607Plasma
SA167276BL_200220_M393_601Plasma
SA167277BL_200220_M393_600Plasma
SA167278BL_200220_M393_595Plasma
SA167279BL_200220_M393_594Plasma
SA167280BL_200220_M393_596Plasma
SA167281BL_200220_M393_597Plasma
SA167282BL_200220_M393_599Plasma
SA167283BL_200220_M393_598Plasma
SA167284BL_200220_M393_609Plasma
SA167285BL_200220_M393_610Plasma
SA167286BL_200220_M393_620Plasma
SA167287BL_200220_M393_619Plasma
SA167288BL_200220_M393_621Plasma
SA167289BL_200220_M393_622Plasma
SA167290BL_200220_M393_624Plasma
SA167291BL_200220_M393_623Plasma
SA167292BL_200220_M393_618Plasma
SA167293BL_200220_M393_617Plasma
SA167294BL_200220_M393_612Plasma
SA167295BL_200220_M393_611Plasma
SA167296BL_200220_M393_613Plasma
SA167297BL_200220_M393_614Plasma
SA167298BL_200220_M393_616Plasma
SA167299BL_200220_M393_615Plasma
SA167300BL_200220_M393_593Plasma
SA167301BL_200220_M393_592Plasma
SA167302BL_200220_M393_573Plasma
SA167303BL_200220_M393_572Plasma
SA167304BL_200220_M393_574Plasma
SA167305BL_200220_M393_575Plasma
SA167306BL_200220_M393_577Plasma
SA167307BL_200220_M393_571Plasma
SA167308BL_200220_M393_570Plasma
SA167309BL_200220_M393_566Plasma
SA167310BL_200220_M393_565Plasma
SA167311BL_200220_M393_567Plasma
SA167312BL_200220_M393_568Plasma
SA167313BL_200220_M393_569Plasma
SA167314BL_200220_M393_578Plasma
SA167315BL_200220_M393_576Plasma
SA167316BL_200220_M393_579Plasma
SA167317BL_200220_M393_586Plasma
SA167318BL_200220_M393_588Plasma
SA167319BL_200220_M393_589Plasma
SA167320BL_200220_M393_591Plasma
SA167321BL_200220_M393_590Plasma
SA167322BL_200220_M393_585Plasma
SA167323BL_200220_M393_587Plasma
SA167324BL_200220_M393_584Plasma
SA167325BL_200220_M393_581Plasma
SA167326BL_200220_M393_580Plasma
SA167327BL_200220_M393_582Plasma
SA167328BL_200220_M393_583Plasma
SA167329BL_200220_M393_560SRM1957
SA167330BL_200220_M393_559SRM1957
SA167331BL_200220_M393_561SRM1957
SA167332BL_200220_M393_564SRM1958
SA167333BL_200220_M393_563SRM1958
SA167334BL_200220_M393_562SRM1958
Showing results 1 to 66 of 66
  logo