A typical output of a metabolomic experiment is a peak table corresponding to the intensity
of measured signals. Peak table processing, an essential procedure in metabolomics, is …

Metabolic phenotyping is an important tool in translational biomedical research. The
advanced analytical technologies commonly used for phenotyping, including mass …

Biological processes (like microbial growth & physiological response) are usually dynamic
and require the monitoring of metabolic variation at different time-points. Moreover, there is …

Data normalization is a big challenge in quantitative metabolomics approaches, whether
targeted or untargeted. Without proper normalization, the mass-spectrometry and …

Individual variations in drug efficacy, side effects and adverse drug reactions are still
challenging that cannot be ignored in drug research and development. The aim of …

Metabolic processes play a critical role in immune regulation. Metabolomics is the
systematic analysis of small molecules (metabolites) in organisms or biological samples …

Ti 3 C 2 is the first member of two-dimensional (2D) transition metal carbide or carbonitride
(MXene) with excellent photothermal effect in disease treatment on an animal model, which …

Fibromyalgia (FM), the most common cause of chronic musculoskeletal pain in the general
public, lacks advanced therapeutic methodology and detailed bioinformation. However …

Abstract Background and Aim Metabolic reprogramming is characterized by dysregulated
levels of metabolites and metabolic enzymes. Integrated metabolomic and transcriptomic …

The scale at which MS‐and NMR‐based platforms generate metabolomics datasets for both
research, core, and clinical facilities to address challenges in the various sciences—ranging …