NMR and MS urinary metabolic phenotyping in kidney diseases is fit-for-purpose in the presence of a protease inhibitor
File(s)MolOMICS_CB_31_7_18.docx (126.64 KB)
Accepted version
Author(s)
Type
Journal Article
Abstract
Nephrotic syndrome with idiopathic membranous nephropathy as a major contributor, is characterized by proteinuria, hypoalbuminemia and oedema. Diagnosis is based on renal biopsy and the condition is treated using immunosuppressive drugs; however nephrotic syndrome treatment efficacy varies among patients. Multi-omic urine analyses can discover new markers of nephrotic syndrome that can be used to develop personalized treatments. For proteomics, a protease inhibitor (PI) is sometimes added at sample collection to conserve proteins but its impact on urine metabolic phenotyping needs to be evaluated. Urine from controls (n = 4) and idiopathic membranous nephropathy (iMN) patients (n = 6) were collected with and without PI addition and analysed using 1H NMR spectroscopy and UPLC-MS. PI-related data features were observed in the 1H NMR spectra but their removal followed by a median fold change normalisation, eliminated the PI contribution. PI-related metabolites in UPLC-MS data had limited effect on metabolic patterns specific to iMN. When using an appropriate data processing pipeline, PI-containing urine samples are appropriate for 1H NMR and MS metabolic profiling of patients with nephrotic syndrome.
Date Issued
2019-02-01
Date Acceptance
2018-12-17
Citation
Molecular Omics, 2019, 15 (1), pp.39-49
ISSN
2515-4184
Publisher
Royal Society of Chemistry
Start Page
39
End Page
49
Journal / Book Title
Molecular Omics
Volume
15
Issue
1
Copyright Statement
©The Royal Society of Chemistry 2019
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000459574900002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Biochemistry & Molecular Biology
TOTAL CORRELATION SPECTROSCOPY
H-1-NMR SPECTRA
BIOMARKER IDENTIFICATION
NORMALIZATION
METABONOMICS
INFORMATION
PROTEOMICS
PLASMA
PLS
PCA
Publication Status
Published
Date Publish Online
2019-01-09