Evaluation of direct from sample metabolomics of human feces using rapid evaporative ionization mass spectrometry

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Title: Evaluation of direct from sample metabolomics of human feces using rapid evaporative ionization mass spectrometry
Authors: Cameron, SJS
Alexander, JL
Bolt, F
Burke, A
Ashrafian, H
Teare, J
Marchesi, JR
Kinross, J
Li, JV
Takats, Z
Item Type: Journal Article
Abstract: Mass spectrometry is a powerful tool in the investigation of the human fecal metabolome. However, current approaches require time-consuming sample preparation, chromatographic separations, and consequently long analytical run times. Rapid evaporative ionization mass spectrometry (REIMS) is a method of ambient ionization mass spectrometry and has been utilized in the metabolic profiling of a diverse range of biological materials, including human tissue, cell culture lines, and microorganisms. Here, we describe the use of an automated, high-throughput REIMS robotic platform for direct analysis of human feces. Through the analysis of fecal samples from five healthy male participants, REIMS analytical parameters were optimized and used to assess the chemical information obtainable using REIMS. Within the fecal samples analyzed, bile acids, including primary, secondary, and conjugate species, were identified, and phospholipids of possible bacterial origin were detected. In addition, the effect of storage conditions and consecutive freeze/thaw cycles was determined. Within the REIMS mass spectra, the lower molecular weight metabolites, such as fatty acids, were shown to be significantly affected by storage conditions for prolonged periods at temperatures above −80 °C and consecutive freeze/thaw cycles. However, the complex lipid region was shown to be unaffected by these conditions. A further cohort of 50 fecal samples, collected from patients undergoing bariatric surgery, were analyzed using the optimized REIMS parameters and the complex lipid region mass spectra used for multivariate modeling. This analysis showed a predicted separation between pre- and post-surgery specimens, suggesting that REIMS analysis can detect biological differences, such as microbiome-level differences, which have traditionally been reliant upon methods utilizing extensive sample preparations and chromatographic separations and/or DNA sequencing.
Issue Date: 5-Nov-2019
Date of Acceptance: 4-Oct-2019
URI: http://hdl.handle.net/10044/1/82864
DOI: 10.1021/acs.analchem.9b02358
ISSN: 0003-2700
Publisher: American Chemical Society
Start Page: 13448
End Page: 13457
Journal / Book Title: Analytical Chemistry
Volume: 91
Issue: 21
Copyright Statement: © 2019 American Chemical Society
Sponsor/Funder: Imperial College Healthcare NHS Trust- BRC Funding
Biotechnology and Biological Sciences Research Council (BBSRC)
Medical Research Council (MRC)
Commission of the European Communities
Funder's Grant Number: RDB04
BB/L020858/1
MR/P002536/1
715662
Keywords: Science & Technology
Physical Sciences
Chemistry, Analytical
Chemistry
BARIATRIC SURGERY
GUT MICROBIOTA
HEALTH
PROFILE
IDENTIFICATION
INFLAMMATION
BIOMARKER
BACTERIA
OBESE
Science & Technology
Physical Sciences
Chemistry, Analytical
Chemistry
BARIATRIC SURGERY
GUT MICROBIOTA
HEALTH
PROFILE
IDENTIFICATION
INFLAMMATION
BIOMARKER
BACTERIA
OBESE
0301 Analytical Chemistry
0399 Other Chemical Sciences
Analytical Chemistry
Publication Status: Published
Online Publication Date: 2019-10-04
Appears in Collections:Department of Metabolism, Digestion and Reproduction
Department of Surgery and Cancer
Department of Infectious Diseases
Institute of Global Health Innovation