Advancements in computer science and software engineering have greatly facilitated mass
spectrometry (MS)-based untargeted metabolomics. Nowadays, gigabytes of metabolomics …

Background Advances in rheumatoid arthritis (RA) treatment, highlighted by biological
disease-modifying antirheumatic drugs (bDMARDs) and targeted synthetic DMARDs …

In classic semiquantitative metabolomics, metabolite intensities are affected by biological
factors and other unwanted variations. A systematic evaluation of the data processing …

Malting involves complex biochemical transformations affecting sensory and quality
attributes. Despite extensive research on storage carbohydrates and proteins in malting, the …

For a large-scale metabolomics study, sample collection, preparation, and analysis may last
several days, months, or even (intermittently) over years. This may lead to apparent batch …

Objective Commonly measured clinical chemistry markers might be indicative of survival
and disease progression in amyotrophic lateral sclerosis (ALS). Methods In a cohort study of …

Parkinson's disease (PD) is a common neurodegenerative disorder with a prolonged
prodromal phase. Higher urinary bis (monoacylglycerol) phosphate (BMP) levels associate …

Purpose The association between traditional lipid parameters and non-alcoholic fatty liver
disease (NAFLD) has been extensively discussed. This study aims to evaluate and compare …

Background Amyotrophic lateral sclerosis (ALS) represents a complex syndrome
characterized by motor, psychiatric, and cognitive symptoms, where associations between …

The derivatization process is critical in gas chromatography coupled to mass spectrometry-
based untargeted metabolomics. This process aims to increase common non-volatile …