Publications by authors named "M E Brier"

Objective: Despite treatments which reduce relapses in multiple sclerosis (MS), many patients continue to experience progressive disability accumulation. MS is associated with metabolic disruptions and cerebral metabolic stress predisposes to tissue injury and possibly impaired remyelination. Additionally, myelin homeostasis is metabolically expensive and reliant on glycolysis.

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  • The study investigates how thalamic tissue damage occurs in multiple sclerosis (MS) patients, following a specific gradient from the ventricular surface, using quantitative gradient-recalled echo (qGRE) MRI.
  • Results showed that MS patients had a steeper gradient of tissue integrity compared to healthy controls, and this gradient was linked to longer disease duration and higher disability levels.
  • These findings support the idea that the damage in MS follows a 'surface-in' pattern and may involve a process influenced by cerebrospinal fluid (CSF), affecting both sides of the thalamus symmetrically.
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  • * A study involving 100 MS patients found that the rate of amyloid-β biomarker positivity was about half compared to 300 non-MS controls, indicating a lower risk of Alzheimer’s in MS patients.
  • * Most MS patients with amyloid-β pathology exhibited atypical symptoms for MS, suggesting that the relationship between MS and Alzheimer’s disease could lead to new research opportunities.
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Chronic kidney disease mineral bone disorder (CKD-MBD) is a complex clinical syndrome responsible for the accelerated cardiovascular mortality seen in individuals afflicted with CKD. Current approaches to therapy have failed to improve clinical outcomes adequately, likely due to targeting surrogate biochemical parameters as articulated by the guideline developer, Kidney Disease: Improving Global Outcomes (KDIGO). We hypothesized that using a Systems Biology Approach combining machine learning with mathematical modeling, we could test a novel approach to therapy targeting the abnormal movement of mineral out of bone and into soft tissue that is characteristic of CKD-MBD.

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  • * Factors hindering progress in managing CKD-MBD include poor understanding of the disease's mechanisms, lack of early treatment targets, and diverse clinical symptoms among patients.
  • * A new strategy combining mathematical modeling and machine learning aims to generate hypotheses and develop personalized therapies, potentially enhancing early intervention and overall treatment for CKD-MBD.
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