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Questa M, Weimer BC, Fiehn O, Chow B, Hill SL, Ackermann MR, Lidbury JA, Steiner JM, Suchodolski JS, Marsilio S. Unbiased serum metabolomic analysis in cats with naturally occurring chronic enteropathies before and after medical intervention. Sci Rep 2024; 14:6939. [PMID: 38521833 PMCID: PMC10960826 DOI: 10.1038/s41598-024-57004-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 03/13/2024] [Indexed: 03/25/2024] Open
Abstract
Chronic enteropathies (CE) are common disorders in cats and the differentiation between the two main underlying diseases, inflammatory bowel disease (IBD) and low-grade intestinal T-cell lymphoma (LGITL), can be challenging. Characterization of the serum metabolome could provide further information on alterations of disease-associated metabolic pathways and may identify diagnostic or therapeutic targets. Unbiased metabolomics analysis of serum from 28 cats with CE (14 cats with IBD, 14 cats with LGITL) and 14 healthy controls identified 1,007 named metabolites, of which 129 were significantly different in cats with CE compared to healthy controls at baseline. Random Forest analysis revealed a predictive accuracy of 90% for differentiating controls from cats with chronic enteropathy. Metabolic pathways found to be significantly altered included phospholipids, amino acids, thiamine, and tryptophan metabolism. Several metabolites were found to be significantly different between cats with IBD versus LGITL, including several sphingolipids, phosphatidylcholine 40:7, uridine, pinitol, 3,4-dihydroxybenzoic acid, and glucuronic acid. However, random forest analysis revealed a poor group predictive accuracy of 60% for the differentiation of IBD from LGITL. Of 129 compounds found to be significantly different between healthy cats and cats with CE at baseline, 58 remained different following treatment.
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Affiliation(s)
- Maria Questa
- Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA
| | - Bart C Weimer
- Department of Population Health and Reproduction, 100K Pathogen Genome Project, University of California School of Veterinary Medicine, University of California, Davis, Davis, CA, USA
| | - Oliver Fiehn
- West Coast Metabolomics Center, University of California Davis, Davis, CA, USA
| | - Betty Chow
- VCA Animal Specialty & Emergency Center, Los Angeles, CA, USA
| | - Steve L Hill
- Veterinary Specialty Hospital, San Diego, CA, USA
| | - Mark R Ackermann
- US Department of Agriculture, National Animal Disease Center, Ames, IA, USA
| | - Jonathan A Lidbury
- Gastrointestinal Laboratory, Texas A&M University, College Station, TX, USA
| | - Joerg M Steiner
- Gastrointestinal Laboratory, Texas A&M University, College Station, TX, USA
| | - Jan S Suchodolski
- Gastrointestinal Laboratory, Texas A&M University, College Station, TX, USA
| | - Sina Marsilio
- Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA.
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Nishiumi S, Yokoyama T, Ojima N. User-friendly relative quantification procedure for gas chromatography/mass spectrometry-based plasma metabolome analysis. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2024; 38:e9683. [PMID: 38212648 DOI: 10.1002/rcm.9683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 11/20/2023] [Accepted: 11/27/2023] [Indexed: 01/13/2024]
Abstract
RATIONALE Recently, metabolome analysis has been applied to a variety of research fields, but differences between batches or facilities can cause discrepancies in the results of such analyses. To resolve these issues using comprehensive metabolome analysis, in which it is difficult to perform quantitative analyses of all detected metabolites, internal standard compounds are used to obtain relative metabolite levels. This study investigated gas chromatography/mass spectrometry-based plasma metabolome analysis methods that are superior to relative quantification using internal standard compounds. METHODS In experiment I, four analyses were performed under different analytical conditions at one facility, and then the data from the four analyses were compared. In experiment II, the same samples were analyzed at three facilities, and then the data from the three facilities were compared. RESULTS Regarding the relative values obtained through comparisons with the internal standard compound, differences in the analytical results were observed among the four analytical conditions in experiment I and among the three facilities in experiment II, and the differences observed among the three facilities (experiment II) were larger. When correction was performed using plasma as a quality control, which is the procedure suggested in this study, these differences were markedly ameliorated. CONCLUSION The suggested procedure involves the analysis of a plasma standard as a quality control for each batch and the calculation of relative target plasma to quality-control plasma values for each metabolite. This is an easy and low-cost method and could be readily employed by researchers during comprehensive plasma metabolome analysis.
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Affiliation(s)
- Shin Nishiumi
- Department of Omics Medicine, Hyogo Medical University, Nishinomiya, Japan
- Department of Biosphere Sciences, School of Human Sciences, Kobe College, Nishinomiya, Japan
| | - Tomonori Yokoyama
- Department of Omics Medicine, Hyogo Medical University, Nishinomiya, Japan
- Analytical and Measuring Instruments Division, Shimadzu Corporation, Kyoto, Japan
| | - Noriyuki Ojima
- Department of Omics Medicine, Hyogo Medical University, Nishinomiya, Japan
- Analytical and Measuring Instruments Division, Shimadzu Corporation, Kyoto, Japan
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