The first human normative ranges and biomarker performance of dimethylguanidino valeric acid isoforms in fatty liver disease.

ADGV Liver fat SDGV biomarkers diagnosis liquid chromatography magnetic resonance spectroscopy metabolic dysfunction-associated steatotic liver disease non-alcoholic fatty liver disease reference values tandem mass spectrometry

Journal

Pathology
ISSN: 1465-3931
Titre abrégé: Pathology
Pays: England
ID NLM: 0175411

Informations de publication

Date de publication:
23 Nov 2023
Historique:
received: 12 06 2023
revised: 12 10 2023
accepted: 26 10 2023
medline: 10 12 2023
pubmed: 10 12 2023
entrez: 9 12 2023
Statut: aheadofprint

Résumé

We have recently determined dimethylguanidino valeric acid (DMGV) to be a novel biomarker of liver injury in non-alcoholic fatty liver disease (NAFLD) and an independent predictor of incident diabetes over a decade in advance. DMGV consists of two stereo-isomers, asymmetric dimethylguanidino valeric acid (ADGV) and symmetric dimethylguanidino valeric acid (SDGV). Here we report, for the first time, the upper limits of normal of both isomers in humans at the accepted 5.56% liver fat threshold for NAFLD, determined using in vivo magnetic resonance spectroscopy. We performed independent and blinded comparative analyses of ADGV and SDGV levels using two different liquid chromatography-tandem mass spectrometry (LC-MS/MS) methods in (A) our laboratory, and (B) the New South Wales Chemical Pathology state laboratory, using unique columns, LC-MS/MS equipment, extraction protocols and normalisation approaches. Despite these differences, each laboratory reported consistent absolute concentrations across a range of liver fat percentages. We next determined the diagnostic performance of SDGV compared to ADGV in a cohort of 268 individuals with liver fat measurements. In derivation-validation analyses we determined rule-in/rule-out thresholds and the concentration of SDGV that provides optimal performance across sensitivity and specificity for the identification of NAFLD. In conclusion, we have herein determined for the first time the true human plasma reference range of both isoforms of an emerging novel biomarker of NAFLD, at the accepted upper normal threshold of liver fat. We have also identified that SDGV is the isoform with the best diagnostic performance and determined the optimal cut-point for its detection of NAFLD.

Identifiants

pubmed: 38071157
pii: S0031-3025(23)00296-9
doi: 10.1016/j.pathol.2023.10.006
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023. Published by Elsevier B.V.

Auteurs

Sami Qadri (S)

Department of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Minerva Foundation Institute for Medical Research, Helsinki, Finland.

XiaoSuo Wang (X)

Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia; Heart Research Institute, Newtown, NSW, Australia; School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.

Collin Tran (C)

School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Department of Chemical Pathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia.

Michael Fitzpatrick (M)

Department of Chemical Pathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia.

Paul Bonnitcha (P)

Department of Chemical Pathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia; NSW Health Pathology, NSW, Australia.

David Sullivan (D)

NSW Health Pathology, NSW, Australia; NHMRC Clinical Trials Centre, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia.

Hannele Yki-Järvinen (H)

Department of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Minerva Foundation Institute for Medical Research, Helsinki, Finland.

John F O'Sullivan (JF)

Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia; School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Department of Cardiology, Royal Prince Alfred Hospital, Sydney, NSW, Australia. Electronic address: john.osullivan@sydney.edu.au.

Classifications MeSH