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One of the body fluids often used in metabolomics studies is urine. The peak intensities of metabolites in urine are affected by the urine history of an individual resulting in dilution differences. This requires therefore normalization of the data to correct for such differences. Two normalization ...
2017-05-11 | MTBLS290 | MetaboLights
It is a challenging work to screen, identify, and quantify acylcarnitines in complex biological samples. A method, based on the retention time (RT) prediction and data-independent acquisition strategies, was proposed for the large-scale identification of acylcarnitines using liquid chromatography co...
2021-10-06 | MTBLS1932 | MetaboLights
The metabolic effects of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection on human blood plasma were characterized using multi-platform metabolic phenotyping with Nuclear Magnetic Resonance (NMR) spectroscopy and liquid chromatography-mass spectrometry (LC-MS). Quantitative mea...
2021-01-29 | MTBLS2014 | MetaboLights

Background. Hyperuricemia is the second most prevalent metabolic disorder globally and exhibits pronounced heterogeneity in clinical practice. Only about 10% of individuals with asymptomatic hyperuricemia (HUA) progress to gout, yet the lack of specific biomarkers and precise therapeutic targets ...

2025-10-05 | MTBLS13094 | MetaboLights
Macrophages are central players in immune response, manifesting divergent phenotypes to control inflammation and innate immunity through release of cytokines and other signaling factors. Recently, the focus on metabolism has been reemphasized as critical signaling and regulatory pathways of human pa...
2012-09-05 | MTBLS23 | MetaboLights

The blood-brain barrier (BBB) is essential for central nervous system homeostasis, but most current in vitro models lack structural and functional fidelity. We developed a physiologically relevant human neurovascular unit microfluidic chip (hNVU-on-a-chip) incorporating brain microvascular endoth...

2025-10-28 | MTBLS13230 | MetaboLights
The vast majority of Parkinson’s disease cases are idiopathic. Unclear ethiology and multifactorial nature complicate the comprehension of disease pathogenesis. Identification of early transcriptomic and metabolic alterations consistent across different idiopathic Parkinson’s disease (IPD) patients ...
2026-03-16 | MTBLS7740 | MetaboLights
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