Ontology highlight
ABSTRACT: Background and hypothesis
Sarcoidosis (SAR) and lymph-node tuberculosis (LNTB) are granulomatous diseases that present diagnostic challenges, especially in TB-endemic regions. We hypothesized that serum-metabolic profiles would help in differentiating SARs from LNTBs.Objective
This study aimed to identify serum metabolic biomarkers to distinguish SAR from LNTB using NMR-based metabolomics analysis.Methods
Serum samples were collected from 26 SAR and 22 LNTB patients. The serum metabolic profiles were measured using 800 MHz NMR spectroscopy and quantified using the commercial software CHENOMX. The serum metabolic profiles were compared using multivariate partial least squares discriminant analysis (PLS-DA), and potential discriminatory metabolites were identified usi
SUBMITTER: Nath A
PROVIDER: S-EPMC12492615 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature