Publications by authors named "L A Amaral"

In this study, we synthesized a series of 3-hydroxy-4-pyridinone (3,4-HPO) chelators with varying lipophilicity by modifying the length of their alkyl chains. To investigate their interaction with lipid membranes, we employed differential scanning calorimetry (DSC) and electron paramagnetic resonance (EPR) spectroscopy using dimyristoylphosphatidylcholine (DMPC) and palmitoyloleoylphosphatidylcholine (POPC) liposomes as membrane model systems. DSC experiments on DMPC liposomes revealed that hexyl-substituted chelators significantly altered the thermotropic phase behavior of the lipid bilayer, indicating their potential as membrane property modulators.

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Cisplatin (CP) is an antineoplastic drug associated with various cytotoxic adverse effects, including hepatotoxicity. Exercise training may offer hepatoprotection by improving redox status. This study compared the effects of light-intensity continuous training (LICT), moderate-intensity continuous training (MICT), and high-intensity interval training (HIIT) on CP-induced hepatotoxicity in female Wistar rats.

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Objective: In onchocerciasis-endemic areas, limited access to antiseizure medications (ASMs) contributes to a high epilepsy burden. This study evaluated the impact of a community-based epilepsy care program in Mahenge, Tanzania, an onchocerciasis-endemic area with high epilepsy prevalence.

Methods: A baseline survey (2017-2018) identified persons with epilepsy (PWE) in four rural villages.

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Introduction: Diabetes, obesity, and CKD collectively impact musculoskeletal health and increase the risk of severe coronavirus disease 2019 (COVID-19) outcomes.

Methods: This cross-sectional study included 32 dialysis patients, categorized based on their COVID-19 status. Laboratory assessments included inflammatory markers (IL-1β, IL-6, IL-8, and TNF-α).

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Understanding "how to optimize the production of scientific knowledge" is paramount to those who support scientific research-funders as well as research institutions-to the communities served, and to researchers. Structured archives can help all involved to learn what decisions and processes help or hinder the production of new knowledge. Using artificial intelligence (AI) and large language models (LLMs), we recently created the first structured digital representation of the historic archives of the National Human Genome Research Institute (NHGRI), part of the National Institutes of Health.

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