Multi-platform metabolomics assays for human lung lavage fluids in an air pollution exposure study.
Metabolomics protocols are used to comprehensively characterize the metabolite content of biological samples by exploiting cutting-edge analytical platforms, such as gas chromatography (GC) or liquid chromatography (LC) coupled to mass spectrometry (MS) assays, as well as nuclear magnetic resonance (NMR) assays. We have developed novel sample preparation procedures combined with GC-MS, LC-MS, and NMR metabolomics profiling for analyzing bronchial wash (BW) and bronchoalveolar lavage (BAL) fluid from 15 healthy volunteers following exposure to biodiesel exhaust and filtered air. Our aim was to investigate the responsiveness of metabolite profiles in the human lung to air pollution exposure derived from combustion of biofuels, such as rapeseed methyl ester biodiesel, which are increasingly being promoted as alternatives to conventional fossil fuels. Our multi-platform approach enabled us to detect the greatest number of unique metabolites yet reported in BW and BAL fluid (82 in total). All of the metabolomics assays indicated that the metabolite profiles of the BW and BAL fluids differed appreciably, with 46 metabolites showing significantly different levels in the corresponding lung compartments. Furthermore, the GC-MS assay revealed an effect of biodiesel exhaust exposure on the levels of 1-monostearylglycerol, sucrose, inosine, nonanoic acid, and ethanolamine (in BAL) and pentadecanoic acid (in BW), whereas the LC-MS assay indicated a shift in the levels of niacinamide (in BAL). The NMR assay only identified lactic acid (in BW) as being responsive to biodiesel exhaust exposure. Our findings demonstrate that the proposed multi-platform approach is useful for wide metabolomics screening of BW and BAL fluids and can facilitate elucidation of metabolites responsive to biodiesel exhaust exposure. Graphical Abstract Graphical abstract illustrating the study workflow. NMR Nuclear Magnetic Resonance, LC-TOFMS Liquid chromatography-Time Of Flight Mass Spectrometry, GC Gas Chromatography-Mass spectrometry.
Computational Life Science Cluster (CLiC), Department of Chemistry, Umeå University, 901 87, Umeå, Sweden.
Izabella
I
Surowiec
Computational Life Science Cluster (CLiC), Department of Chemistry, Umeå University, 901 87, Umeå, Sweden.
Masoumeh
M
Karimpour
Computational Life Science Cluster (CLiC), Department of Chemistry, Umeå University, 901 87, Umeå, Sweden.
Sandra
S
Gouveia-Figueira
Computational Life Science Cluster (CLiC), Department of Chemistry, Umeå University, 901 87, Umeå, Sweden.
Junfang
J
Wu
Department of Public Health and Clinical Medicine, Division of Medicine/Respiratory Medicine, Umeå University, 901 87, Umeå, Sweden.
Jon
J
Unosson
Department of Public Health and Clinical Medicine, Division of Medicine/Respiratory Medicine, Umeå University, 901 87, Umeå, Sweden.
Jenny A
JA
Bosson
Department of Public Health and Clinical Medicine, Division of Medicine/Respiratory Medicine, Umeå University, 901 87, Umeå, Sweden.
Anders
A
Blomberg
Department of Public Health and Clinical Medicine, Division of Medicine/Respiratory Medicine, Umeå University, 901 87, Umeå, Sweden.
Jamshid
J
Pourazar
Department of Public Health and Clinical Medicine, Division of Medicine/Respiratory Medicine, Umeå University, 901 87, Umeå, Sweden.
Thomas
T
Sandström
Department of Public Health and Clinical Medicine, Division of Medicine/Respiratory Medicine, Umeå University, 901 87, Umeå, Sweden.
Annelie F
AF
Behndig
Computational Life Science Cluster (CLiC), Department of Chemistry, Umeå University, 901 87, Umeå, Sweden.
Johan
J
Trygg
Computational Life Science Cluster (CLiC), Department of Chemistry, Umeå University, 901 87, Umeå, Sweden. malin.nording@umu.se.
Malin L
ML
Nording
D000397:Air Pollution; D001992:Bronchoalveolar Lavage Fluid; D002853:Chromatography, Liquid; D004781:Environmental Exposure; D005260:Female; D008401:Gas Chromatography-Mass Spectrometry; D006801:Humans; D009682:Magnetic Resonance Spectroscopy; D008297:Male; D055432:Metabolomics
Biodiesel; Bronchoalveolar lavage; GC-MS; LC-MS; NMR