Jennifer Kirwan

The paper shows sortilin mediates neuronal uptake of fatty acids via apoE, enabling their use as metabolic fuel, but this pathway is disrupted by apoE4, linked to Alzheimer's risk.

This study evaluates the interlaboratory reproducibility of the MxP(R) Quant 500 metabolomics/lipidomics kit across human and rodent blood samples, showing high consistency and reliability.

This study links gut microbiota dysbiosis and altered tryptophan metabolism to increased inflammation in severe COVID-19 patients.

NeatMS uses machine learning to automate peak curation in LC-MS metabolomics, improving robustness and scalability compared to manual methods.

The paper introduces MeTaQuaC, an open-source R package for quality control in targeted metabolomics, improving data reliability through systematic error detection and visualization.

WiPP improves GC-MS peak detection by combining multi-algorithm results with machine learning-based quality assessment, enhancing accuracy and enabling algorithm comparison.

This study identifies SorCS2 as a regulator of EAAT3 trafficking that protects neurons from oxidative stress and epilepsy-induced damage.