Summary of project PR001796
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 PR001796. The data can be accessed directly via it's Project DOI: 10.21228/M8JX52 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
Project ID: | PR001796 |
Project DOI: | doi: 10.21228/M8JX52 |
Project Title: | Predicting lupus membranous nephritis using reduced picolinic acid to tryptophan ratio as a urinary biomarker |
Project Type: | MS quantitative analysis |
Project Summary: | 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. |
Institute: | Mahidol University |
Department: | Siriraj Metabolomics and Phenomics Center |
Laboratory: | Siriraj Center of Research Excellence in Metabolomics and Systems Biology |
Last Name: | Khoomrung |
First Name: | Sakda |
Address: | 2 Wanglang Road, Bangkok, Bangkok, 10700, Thailand |
Email: | sakda.kho@mahidol.edu |
Phone: | 024195511 |
Publications: | https://doi.org/10.1016/j.isci.2021.103355 |
Summary of all studies in project PR001796
Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
---|---|---|---|---|---|---|---|---|
ST002874 | Quantification of metabolites in kynurenine pathway | Homo sapiens | Mahidol University | MS | 2023-10-10 | 1 | 117 | Uploaded data (47.1M)* |