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Predicting lupus membranous nephritis using reduced picolinic acid to tryptophan ratio as a urinary biomarker
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Document Title
Predicting lupus membranous nephritis using reduced picolinic acid to tryptophan ratio as a urinary biomarker
Author
Anekthanakul K, Manocheewa S, Chienwichai K, Poungsombat P, Limjiasahapong S, Wanichthanarak K, Jariyasopit N, Mathema VB, Kuhakarn C, Reutrakul V, Phetcharaburanin J, Panya A, Phonsatta N, Visessanguan W, Pomyen Y, Sirivatanauksorn Y, Worawichawong S, Sathirapongsasuti N, Kitiyakara C, Khoomrung S
Name from Authors Collection
Affiliations
Mahidol University; Mahidol University; Mahidol University; Prince of Songkla University; Mahidol University; Mahidol University; Khon Kaen University; Khon Kaen University; Khon Kaen University; National Science & Technology Development Agency - Thailand; National Center Genetic Engineering & Biotechnology (BIOTEC); Chulabhorn Research Institute; Mahidol University; Mahidol University
Type
Article
Source Title
ISCIENCE
Year
2021
Volume
24
Issue
11
Open Access
gold, Green Published
Publisher
CELL PRESS
DOI
10.1016/j.isci.2021.103355
Format
Abstract
The current gold standard for classifying lupus nephritis (LN) progression is a renal biopsy, which is an invasive procedure. Undergoing a series of biopsies for monitoring disease progression and treatments is unlikely suitable for patients with LN. Thus, there is an urgent need for non-invasive alternative biomarkers that can facilitate LN class diagnosis. Such biomarkers will be very useful in guiding intervention strategies to mitigate or treat patients with LN. Urine samples were collected from two independent cohorts. Patients with LN were classified into proliferative (class III/IV) and membranous (class V) by kidney histopathology. Metabolomics was performed to identify potential metabolites, which could be specific for the classification of membranous LN. The ratio of picolinic acid (Pic) to tryptophan (Trp) ([Pic/Trp] ratio) was found to be a promising candidate for LN diagnostic and membranous classification. It has high potential as an alternative biomarker for the non-invasive diagnosis of LN.
Industrial Classification
Knowledge Taxonomy Level 1
Knowledge Taxonomy Level 2
Knowledge Taxonomy Level 3
Funding Sponsor
Mahidol University, Bangkok, Thailand; Thailand Research Fund, Chalermphrakiat Grant, Faculty of Medicine Siriraj Hospital, Bangkok, Thailand [MRG6280206]; Mahidol University, Bangkok, Thailand [R016420001, NRCT5-TRG63009-03]; National Research Council of Thailand (NRCT), Bangkok, Thailand; Research Network NANOTEC program (RNN-Ramathibodi hospital, Bangkok, Thailand); Faculty of Medicine Ramathibodi Hospital Mahidol University, Bangkok, Thailand [CF_62006]; Ramathibodi Hospital; National Science and Technology Development Agency (NSTDA), Bangkok, Thailand [P-13-00505]; Center of Excellence for Innovation in Chemistry (PERCH-CIC), Bangkok, Thailand; Ministry of Higher Education, Science, Research and Innovation (MHESI) , Bangkok, Thailand
License
CC BY
Rights
Authors
Publication Source
WOS