Publications by authors named "Yasuto Yokoi"

Article Synopsis
  • The study investigates the connection between the health of captive cynomolgus monkeys and their stool characteristics, particularly focusing on stool water content as a measure.
  • Researchers analyzed data from various sources including food intake, urine, plasma, and metabolomics to understand the monkeys' overall health and its relationship to their stool state.
  • Findings indicated correlations between stool water content and lipid metabolites, fatty acids, selenium levels, and certain bacteria, suggesting that redox imbalance could lead to minor health issues, though further investigation is needed for definitive conclusions.
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A common renal disease, immunoglobulin A (IgA) nephropathy (IgAN), is associated with glomerular deposition of IgA1-containing immune complexes. IgA1 hinge region (HR) has up to six clustered O-glycans consisting of Ser/Thr-linked N-acetylgalactosamine with β1,3-linked galactose and variable sialylation. IgA1 glycoforms with some galactose-deficient (Gd) HR O-glycans play a key role in IgAN pathogenesis.

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We developed a practical analytical system for high-throughput and comprehensive lipid profiling using a supercritical fluid chromatography (SFC) system coupled to an Orbitrap Fourier transform mass spectrometer (Orbitrap FT-MS). Using our SFC method, polar lipid molecular species were separated based on not only their fatty acyl moieties but also their polar head groups, using a single octadecylsilyl (ODS) column. In addition, because automatic data processing software was used for the identification of lipid molecular species, the analysis time including data processing was about a half an hour per sample.

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Lipidomics requires accurate lipid profiling, which until recently has been challenging at best. In the present study, we developed a practical workflow for high-throughput and exhaustive lipid profiling by combining reverse-phase liquid chromatography coupled to quadrupole orbitrap Fourier transform mass spectrometry, with an automated lipid identification software. This validated method enables highly sensitive and simultaneous analysis of lipids with varying polarities such as glycerophospholipids and sphingophospholipids, by switching the acquisition polarities in mass spectrometry.

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