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Basic Science and Pathogenesis.
Alzheimers Dement
December 2024
Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Background: Angiotensin-converting enzyme (ACE) is a validated risk locus for developing late-onset Alzheimer's disease (LOAD). ACE1 controls blood pressure through the renin-angiotensin system (RAS), but it is also present and acts locally in the brain. Hypertension is associated with an increased risk for developing AD, and people taking select RAS-targeting therapeutics have reduced incidence of AD.
View Article and Find Full Text PDFBackground: Seizures, traumatic brain injury (TBI), and dementia increase in prevalence with age. However, the role of seizure and TBI on cognitive impairment risk (CI) is unclear. This study investigated how a diagnosis of seizures and TBI was associated with the progression to CI and assessed the role of medications.
View Article and Find Full Text PDFStructural Dynamics of Neutral Amino Acid Transporter SLC6A19 in Simple and Complex Lipid Bilayers.
J Cell Biochem
January 2025
Bioinformatics Division I Microbiology Division, ICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
B0AT1 (SLC6A19) is a major sodium-coupled neutral amino acid transporter that relies on angiotensin converting enzyme 2 (ACE2) or collectrin for membrane trafficking. Despite its significant role in disorders associated with amino acid metabolism, there is a deficit of comprehensive structure-function understanding of B0AT1 in lipid environment. Herein, we have employed molecular dynamics (MD) simulations to explore the architectural characteristics of B0AT1 in two distinct environments: a simplified POPC bilayer and a complex lipid system replicating the native membrane composition.
View Article and Find Full Text PDFConstruction of Clinical Predictive Models for Heart Failure Detection Using Six Different Machine Learning Algorithms: Identification of Key Clinical Prognostic Features.
Int J Gen Med
December 2024
Department of Cardiology, Shaanxi Provincial People's Hospital, Xi'an, People's Republic of China.
Purpose: Heart failure (HF) is a clinical syndrome in which structural or functional abnormalities of the heart result in impaired ventricular filling or ejection capacity. In order to improve the adaptability of models to different patient populations and data situations. This study aims to develop predictive models for HF risk using six machine learning algorithms, providing valuable insights into the early assessment and recognition of HF by clinical features.
View Article and Find Full Text PDFEstimating optimal thresholds for adherence to RASA medications among older adults with hypertension.
J Manag Care Spec Pharm
January 2025
University of Mississippi School of Pharmacy, University.
Background: The Centers for Medicare and Medicaid Services (CMS) Star Ratings program incentivizes health plans in Medicare to improve performance on a variety of quality measures such as adherence to renin-angiotensin system antagonists (RASAs). Adherence to RASA medications, defined as having a proportion of days covered (PDC) of at least 80%, has been improving for several years, suggesting that further investigation is needed to assess the appropriateness of the current 80% PDC threshold for medication adherence as an indicator of quality. The 80% PDC threshold has been found to be associated with improved health care resource utilization outcomes; however, little evidence exists to show that this threshold is optimal.
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