Summary of Study ST002179

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 PR001387. The data can be accessed directly via it's Project DOI: 10.21228/M8FB0C This work is supported by NIH grant, U2C- DK119886.

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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 IDST002179
Study TitleImpact of nitisinone on the cerebrospinal fluid metabolome of a murine model of alkaptonuria
Study SummaryBackground: Nitisinone induced hypertyrosinaemia is well documented in Alkaptonuria (AKU), and there is uncertainty over whether it may contribute to a decline in cognitive function and or mood by altering neurotransmitter metabolism. The aim of this work was to evaluate the impact of nitisinone on the cerebrospinal fluid (CSF) metabolome in a murine model of AKU, with a view to providing additional insight into metabolic changes that occur following treatment with nitisinone. Methods: 17 CSF samples were collected from BALB/c Hgd-/-mice (n=8, treated with nitisinone – 4 mg/L and n=9, no treatment). Samples were diluted 1:1 with deionised water and analysed using a 1290 Infinity II liquid chromatography system coupled to a 6550 quadrupole time-of-flight mass spectrometry (Agilent, Cheadle, UK). Raw data were processed using a targeted feature extraction algorithm and an established in-house accurate mass retention time database. Matched entities (±10 ppm theoretical accurate mass and ±0.3 minutes retention time window) were filtered based on their frequency and variability. Experimental groups were compared using a moderated t-test with Benjamini-Hochberg false-discovery rate adjustment. Results: Tyrosine, acetyl-tyrosine, γ-glutamyl-tyrosine, p-hydroxyphenylacetic acid and 3-(4-hydroxyphenyl)lactic acid were shown to increase in abundance (log2 fold change 2.6-6.9, 3/5 were significant p<0.05) in the mice that received nitisinone. Several other metabolites of interest were matched but no significant differences were observed, including the aromatic amino acids phenylalanine and tryptophan, and monoamine metabolites adrenaline, 3-methoxy-4-hydroxyphenylglycol and octopamine. Conclusions: Evaluation of the CSF metabolome of a murine model of AKU showed a significant difference in the abundance of a limited number of metabolites. None of these have been reported in CSF from a murine model of AKU previously. Moreover this study confirms that some monoamine metabolites do not appear to be altered following nitisinone therapy.
Institute
University of Liverpool Institute of Life Course & Medical Sciences
Last NameDavison
First NameAndrew
Address1. Department of Clinical Biochemistry and Metabolic Medicine, Liverpool Clinical Laboratories, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK; 2. Department of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK 3. School of Exercise Science, Liverpool John Moores University, Liverpool, UK
Emailandrew.davison@liverpoolft.nhs.uk
Phone0151 706 4011
Submit Date2022-05-13
Num Groups2
Total Subjects17
Raw Data AvailableYes
Raw Data File Type(s)d, mzML
Analysis Type DetailLC-MS
Release Date2022-06-08
Release Version1
Andrew Davison Andrew Davison
https://dx.doi.org/10.21228/M8FB0C
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR001387
Project DOI:doi: 10.21228/M8FB0C
Project Title:Impact of nitisinone on the cerebrospinal fluid metabolome of a murine model of alkaptonuria
Project Summary:Background: Nitisinone induced hypertyrosinaemia is well documented in Alkaptonuria (AKU), and there is uncertainty over whether it may contribute to a decline in cognitive function and or mood by altering neurotransmitter metabolism. The aim of this work was to evaluate the impact of nitisinone on the cerebrospinal fluid (CSF) metabolome in a murine model of AKU, with a view to providing additional insight into metabolic changes that occur following treatment with nitisinone. Methods: 17 CSF samples were collected from BALB/c Hgd-/-mice (n=8, treated with nitisinone – 4 mg/L and n=9, no treatment). Samples were diluted 1:1 with deionised water and analysed using a 1290 Infinity II liquid chromatography system coupled to a 6550 quadrupole time-of-flight mass spectrometry (Agilent, Cheadle, UK). Raw data were processed using a targeted feature extraction algorithm and an established in-house accurate mass retention time database. Matched entities (±10 ppm theoretical accurate mass and ±0.3 minutes retention time window) were filtered based on their frequency and variability. Experimental groups were compared using a moderated t-test with Benjamini-Hochberg false-discovery rate adjustment. Results: Tyrosine, acetyl-tyrosine, γ-glutamyl-tyrosine, p-hydroxyphenylacetic acid and 3-(4-hydroxyphenyl)lactic acid were shown to increase in abundance (log2 fold change 2.6-6.9, 3/5 were significant p<0.05) in the mice that received nitisinone. Several other metabolites of interest were matched but no significant differences were observed, including the aromatic amino acids phenylalanine and tryptophan, and monoamine metabolites adrenaline, 3-methoxy-4-hydroxyphenylglycol and octopamine. Conclusions: Evaluation of the CSF metabolome of a murine model of AKU showed a significant difference in the abundance of a limited number of metabolites. None of these have been reported in CSF from a murine model of AKU previously. Moreover this study confirms that some monoamine metabolites do not appear to be altered following nitisinone therapy.
Institute:University of Liverpool Institute of Life Course & Medical Sciences
Last Name:Davison
First Name:Andrew
Address:1. Department of Clinical Biochemistry and Metabolic Medicine, Liverpool Clinical Laboratories, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK; 2. Department of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK 3. School of Exercise Science, Liverpool John Moores University, Liverpool, UK
Email:andrew.davison@liverpoolft.nhs.uk
Phone:0151 706 4011
Contributors:Davison AS1,2,*, Norman BP2, Sutherland H2,3, Milan AM1,2, Jarvis JC3, Gallagher JA2, Ranganath LR1,2
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