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Metabolomics1H NMR chemometric models for classification of Czech wine type and variety

A set of 917 wines of Czech origin registered in a national competition were analysed using nuclear magnetic resonance spectroscopy (NMR) with the aim to build and evaluate multivariate statistical models and machine learning methods for the classification of type (5 types), variety (13 varieties...

2020-08-28 | MTBLS1677 | MetaboLights
MetabolomicsMetabolic Footprinting of a Clear Cell Renal Cell Carcinoma in vitro Model for Human Kidney Cancer Detection
A protocol for harvesting and extracting extracellular metabolites from an in vitro model of human renal cell lines was developed to profile the exometabolome by means of a discovery-based metabolomics approach using ultraperformance liquid chromatography coupled to quadrupole-time-of-flight mass sp...
2018-11-14 | MTBLS737 | MetaboLights
MetabolomicsMass Spectrometry Imaging of Lipids in a Gut Epithelial Cell Model

Scope: The Caco2/HT29-MTX co-culture system is widely used as a cell model of the intestinal epithelium. Although the gut epithelium plays an important role in the uptake of free fatty acids and the resynthesis of triglycerides, the lipid distribution profile of the two-dimensional co-culture sys...

2025-06-14 | MTBLS12599 | MetaboLights
MetabolomicsUntargeted Metabolomic Profiling of Left Ventricular Myocardium in a Mouse Model of Diabetic Cardiomyopathy
This study characterizes metabolic alterations in the left ventricular myocardium of a high-fat diet and streptozotocin-induced mouse model of diabetic cardiomyopathy. Untargeted LC–MS/MS metabolomics was performed using a Vanquish UHPLC system coupled to an Orbitrap Exploris 120 mass spectrometer. ...
2026-07-20 | MTBLS15043 | MetaboLights
MetabolomicsA machine learning model for the prediction and verification of the protective intestinal microbiota-derived L-valine in sepsis

The intestinal microflora and metabolites produced by these microbes serve as important regulators of the development of sepsis. Accordingly, this study was designed to systematically explore the relationships between the regulation of septicemia and both the intestinal flora and fecal metabolite...

2023-07-28 | MTBLS7866 | MetaboLights
MetabolomicsExperimental and computational approaches for deep metabolome annotation with application to the ecotoxicological model organism Daphnia magna

Identifying metabolomes with greater coverage and confidence is a critical step towards interpreting the metabolic basis of human and environmental health. Yet for over two decades the field of metabolomics has been inhibited by limited metabolite identification. To address this, we developed the...

MTBLS2273 | MetaboLights
MetabolomicsSalivary Multi-omics Characterization and Staging Diagnostic Model for Type 2 Diabetes with Different Stages of Periodontitis

Background: This study aims to comprehensively characterize the dynamic succession of the salivary microbiome and metabolic reprogramming in type 2 diabetes mellitus (T2DM) patients across progressive stages of periodontitis (Stage I–IV) using an integrated multi-omics approach. We specifica...

2026-05-20 | MTBLS13827 | MetaboLights
ProteomicsUrinary Proteomic Spectra Analysis Based on Machine Learning for Classification of Kidney Diseases
To extract urinary proteome spectral features based on advanced mass spectrometer and machine learning algorithms, it could get more accurate reporting results for disease classification. We tried to establish a novel diagnosis model of kidney diseases by combining machine learning XGBoost algorithm...
ORGANISM(S): Homo sapiens (Human) 
2022-09-13 | PXD018996 | Pride
Kidney disease classification  urinary proteomics  machine learning algorithm  diagnosis 
TranscriptomicscaArray_louis-00379: Gene Expression-based Classification of Malignant Gliomas Correlates Better with Survival than Histological Classification
Microarray analysis was used to determine the expression of 12,000 genes in a set of 50 gliomas, 28 glioblastomas and 22 anaplastic oligodendrogliomas. Supervised learning approaches were used to build a two-class prediction model based on a subset of 14 glioblastomas and 7 anaplastic oligodendrogli...
ORGANISM(S): Homo sapiens 
2016-05-28 | E-GEOD-82009 | biostudies-arrayexpress
TranscriptomicsTB disease classification
Validation of gene expression levels to assess classification of TB patients and healthy controls qPCR gene expression profiling. Whole blood gene expression from TB patients (positive in GenXpert assay) and healthy controls; both tuberculin skin test positive (TSTpos) and -negative (TSTneg).
ORGANISM(S): Homo sapiens 
2015-12-21 | E-GEOD-74092 | biostudies-arrayexpress
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