Summary of Study ST002494

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 PR001610. The data can be accessed directly via it's Project DOI: 10.21228/M8KT5B 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 IDST002494
Study TitleDisrupted intestinal microbiota contributes to the pathogenesis of anorexia nervosa (Part 1)
Study SummaryAnorexia nervosa (AN) is an eating disorder with a high mortality affecting about 1% of women, where no evidence-based effective treatment exists. The pathogenesis likely involves genetic and environmental alterations. We hypothesized that a disrupted gut microbiota contributes to AN pathogenesis. In analyses comparing 70 AN with 77 healthy females, we found multiple taxa, functional modules, structural variants and growth rates of bacterial gut microbiota, and viral gut microbiota that were altered in AN with parts of these perturbations linked to estimates of eating behavior and mental health. In silico, causal inference analyses implied serum bacterial metabolites mediated parts of the impact of altered gut microbiota on AN behavior, and in vivo, three independent fecal microbiota transplantation from AN cases to germ-free mice under energy restricted feeding mirroring AN eating behavior consistently induced a lower body weight gain and hypothalamic and adipose tissue gene expressions related to aberrant energy metabolism and eating and mental behavior.
Institute
Örebro University
Last NameMcGlinchey
First NameAidan
AddressRoom 2217, Södra Grev Rosengatan 30, 70362 Örebro
Emailaidan.mcglinchey@oru.se
Phone+46 0736485638
Submit Date2022-05-18
Raw Data AvailableYes
Raw Data File Type(s)mzML
Analysis Type DetailGC-MS
Release Date2023-02-27
Release Version1
Aidan McGlinchey Aidan McGlinchey
https://dx.doi.org/10.21228/M8KT5B
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Combined analysis:

Analysis ID AN004092
Analysis type MS
Chromatography type Reversed phase
Chromatography system Agilent 7890B
Column Waters ACQUITY UPLC BEH C18 (100 x 2.1mm,1.7um)
MS Type EI
MS instrument type QTOF
MS instrument name Agilent 7200 QTOF
Ion Mode NEGATIVE
Units Raw output from software

MS:

MS ID:MS003839
Analysis ID:AN004092
Instrument Name:Agilent 7200 QTOF
Instrument Type:QTOF
MS Type:EI
MS Comments:MassHunter B.06.01 software (Agilent Technologies, Santa Clara, CA, USA) was used for all data acquisition. Identification of compounds was done by in-house spectral library using MS (and retention time), MS/MS information. Quantitation was based on a matrix matched calibration curve spiked with native compounds. The calibration curve consisted of concentrations ranging from 0 – 1600 ng mL -1 for BAs. The RSD for the BAs was on average 17.8 % for the QC samples and 19.4 % for the NIST samples.
Ion Mode:NEGATIVE
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