Publications by authors named "F BARRERA"

Although prediction models for heart transplantation outcomes have been developed previously, a comprehensive benchmarking of survival machine learning methods for mortality prognosis in the most contemporary era of heart transplants following the 2018 donor heart allocation policy change is warranted. This study assessed seven statistical and machine learning algorithms-Lasso, Ridge, Elastic Net, Cox Gradient Boost, Extreme Gradient Boost Linear, Extreme Gradient Boost Tree, and Random Survival Forests in a post-policy cohort of 7,160 adult heart-only transplant recipients in the Scientific Registry of Transplant Recipients (SRTR) database who received their first transplant on or after October 18, 2018. A cross-validation framework was designed in mlr.

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Receptor tyrosine kinases (RTKs) regulate many cellular functions and are important targets in pharmaceutical development, particularly in cancer treatment. EGFR and EphA2 are two key RTKs that are associated with oncogenic phenotypes. Several studies have reported functional interplay between these receptors, but the mechanism of interaction is still unresolved.

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  • - The 2023 nomenclature for steatotic liver disease (SLD) encompasses metabolic dysfunction-associated SLD (MASLD), alcohol-associated liver disease (ALD), and a mix of both (MetALD), prompting a study on racial and ethnic disparities in SLD prevalence among US adults.
  • - Data from the 2017-2018 National Health and Nutrition Examination Survey (NHANES) revealed that 42.4% of participants had MASLD, while the rates for MetALD and ALD were significantly lower (1.7% and 0.6%, respectively), with a higher prevalence observed in Hispanic individuals.
  • - Factors such as male gender, age, higher BMI, and various
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The Northern Patagonia coast, characterized by an intricate interaction among terrestrial and marine systems such as Reloncaví Estuarine System (RES), present highly productive marine and aquaculture activities, having a significant socio-economic importance in Chile. Understanding the composition of Organic Matter (OM) in aquatic ecosystems is crucial for elucidating biogeochemical processes, and the use of lipid biomarkers, has proven valuable in identifying OM sources. This study investigates the relationship between phytoplankton biomass indicators, including phytoplankton abundance, chlorophyll-a, and sterol molecules synthesized in high percentages by phytoplankton cells, also known as phytoplankton-derived sterols at the RES.

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  • Candidalysin, produced by Candida albicans, is a virulence factor that damages host cells, and this study identified specific genes related to glycosaminoglycan (GAG) biosynthesis that, when disrupted, confer resistance to this damage.
  • Researchers found that candidalysin binds to sulfated GAGs on the host cell surface, which helps it to cause damage, but adding exogenous sulfated GAGs like dextran sulfate can protect cells and inhibit candidalysin's effects.
  • In a mouse model of vulvovaginal candidiasis, applying dextran sulfate reduced tissue damage and inflammation, suggesting sulfated GAGs are potential therapeutic targets to counteract candidalysin-related damage.
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