Publications by authors named "E T Su"

The thrombolytic protease tissue plasminogen activator (tPA) is expressed in the CNS, where it regulates diverse functions including neuronal plasticity, neuroinflammation, and blood-brain-barrier integrity. However, its role in different brain regions such as the substantia nigra (SN) is largely unexplored. In this study, we characterize tPA expression, activity, and localization in the SN using a combination of retrograde tracing and β-galactosidase tPA reporter mice.

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Ischemic stroke is a major cause of adult disability. Early treatment with thrombolytics and/or thrombectomy can significantly improve outcomes; however, following these acute interventions, treatment is limited to rehabilitation therapies. Thus, the identification of therapeutic strategies that can help restore brain function in the post-acute phase remains a major challenge.

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Objective: Myasthenia gravis (MG), a low-prevalence autoimmune disorder characterized by clinical heterogeneity and unpredictable disease fluctuations, presents significant risks of acute exacerbations requiring intensive care. These crises contribute substantially to patient morbidity and mortality. This study aimed to develop and validate machine-learning models for predicting intensive care unit (ICU) admission risk among patients with MG-related disease instability.

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Purpose: Investigate the influence of baseline blood pressure (BP) on retinal nerve fiber layer (RNFL) rates of change (RoC) in glaucoma patients with central damage or moderate to severe disease.

Design: Prospective cohort study.

Participants: 110 eyes with ≥4 RNFL optical coherence tomography scans and ≥2 years of follow-up.

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Article Synopsis
  • The study investigated the levels of non-structural protein 1 (NS1) and the NS1-Thrombin complex (NST) in relation to the severity of dengue, focusing on 86 patients with varying degrees of severity and associated health conditions.
  • Results indicated that while NS1 has a significant impact on dengue outcomes, NST is a better biomarker for predicting disease progression, showing greater accuracy in distinguishing between different severity levels of dengue.
  • The findings highlight NST's potential role in enhancing understanding of dengue severity and its usefulness as a biomarker during acute dengue presentations.
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