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Witte, T.

Publications and source records attributed to Witte, T..

2 recordsLinked to original sources

Quantitative determination of longitudinal CNS cholesterol loss during myelin damage and repair

1.Cholesterol in the central nervous system (CNS) is largely unesterified (>99%) and is predominantly present in the myelin sheath ([~]70% of total CNS cholesterol). Damage to the myelin sheath can result in the conversion of cholesterol to cholesterol esters, which occurs in many neurological diseases, including multiple sclerosis. In this study, we measured longitudinal CNS free cholesterol and cholesterol ester levels in a genetic mouse model during postnatal myelination, demyelination, and remyelination using gas chromatography-mass spectrometry with single ion monitoring technique (GC-MS-SIM) and liquid chromatography mass spectrometry (LC-MS). Cholesterol levels in healthy mouse brains increased up to 38 weeks. In contrast, cholesterol in the healthy spinal cord increased during postnatal timepoints, but then remained steady out to 38 weeks. Interestingly, cholesterol esters in the spinal cord were highest at P1 and drastically reduced by P42, while the brain had similar levels during all postnatal time points. During demyelination, both brain and spinal cord cholesterol levels were significantly reduced as compared to healthy mice and failed to return to normal cholesterol levels even during remyelination. Absolute quantification of cholesterol esters during peak demyelination revealed that cholesterol esters comprise 19% of the total cholesterol pool in the brain and 65% in the spinal cord. The lack of recovery in CNS cholesterol levels after demyelination suggests that healthy de novo cholesterol synthesis pathways are disrupted in this model. Absolute quantification of CNS cholesterol is critical for revealing mechanisms of cholesterol regulation during disease and identifying targets for restoring cholesterol to promote myelin repair.

neuroscience↗

Comparative analysis of the treatment-naive microbiome across rheumatic diseases to predict MTX treatment response

The human gut microbiota is recognized as a modulator of inflammatory diseases and has been linked to interindividual differences in therapy responsiveness. However, the robustness of disease-specific microbiome signatures across closely related diseases is rarely compared. Here, we compared treatment-naive microbiota composition and functional potential across rheumatic diseases, including rheumatoid arthritis (RA) and spondyloarthritis subforms, to identify disease-specific biomarkers. While we failed to define robust disease-specific microbiota signatures, we identified microbial signatures linked to methotrexate (MTX) responsiveness for the two rheumatic diseases RA and psoriatic arthritis (PsA), for which MTX is the first-line treatment. Notably, the signatures were distinct, i.e., we could define a signature based on the relative abundance of microbial species for RA, yet the signature for PsA was based on the relative abundance of microbial pathways. Together this supports the previously recognized value of microbiota to predict treatment responses to MTX in RA and identifies distinct signatures predicting MTX responsiveness for PsA.

microbiology↗