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Alzheimer's disease: an integrative bioinformatics and machine learning analysis reveals glutamine metabolism-associated gene biomarkers.
BMC Pharmacol Toxicol
January 2025
Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong, 264100, PR China.
Background: Alzheimer's disease (AD), a hallmark of age-related cognitive decline, is defined by its unique neuropathology. Metabolic dysregulation, particularly involving glutamine (Gln) metabolism, has emerged as a critical but underexplored aspect of AD pathophysiology, representing a significant gap in our current understanding of the disease.
Methods: To investigate the involvement of GlnMgs in AD, we conducted a comprehensive bioinformatic analysis.
Abnormal characteristics of inferior vena cava and abdominal aorta among neonates with early onset septic shock.
Ital J Pediatr
January 2025
Department of Neonatology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao tong University, Shanghai, China.
Background: The variety of shocks in neonates, if not recognized and treated immediately, is a major cause for fatality. The use of echocardiography may improve assessment and treatment, but its reference values across gestational age (GA) and birth weight (BW) are lacking. To address the information gap, this study aimed at correlating GA and BW of newborns with nonhemodynamic abnormalities, and at evaluating the usefulness of such reference values in neonates with early onset septic (EOS) -shock.
View Article and Find Full Text PDFDiscovering patient groups in sequential electronic healthcare data using unsupervised representation learning.
BMC Med Inform Decis Mak
January 2025
Great Ormond Street Institute of Child Health, University College London, London, UK.
Introduction: Unsupervised feature learning methods inspired by natural language processing (NLP) models are capable of constructing patient-specific features from longitudinal Electronic Health Records (EHR).
Design: We applied document embedding algorithms to real-world paediatric intensive care (PICU) EHR data to extract patient-specific features from 1853 patients' PICU journeys using 647 unique lab tests and medication events. We evaluated the clinical utility of the patient features via a K-means clustering analysis.
Association between metabolic score for visceral fat index and BMI-adjusted skeletal muscle mass index in American adults.
Lipids Health Dis
January 2025
Department of Orthopedics, The 921st Hospital of the People's Liberation Army, The Second Affiliated Hospital of Hunan Normal University, Changsha, 410003, People's Republic of China.
Background: The metabolic score for visceral fat (METS-VF) is a recently identified index for evaluating visceral fat, also referred to as abdominal obesity. The skeletal muscle mass index (SMI) serves as a critical measure for assessing muscle mass and sarcopenia. Both obesity and the reduction of muscle mass can significantly affect human health.
View Article and Find Full Text PDFCognitive control in individuals with heroin use disorder after prolonged methadone maintenance treatment.
BMC Psychiatry
January 2025
School of Mental Health, Bengbu Medical University, Bengbu, Anhui, 233030, China.
Background: Although impaired cognitive control is common during the acute detoxification phase of substance use disorders (SUD) and is considered a major cause of relapse, it remains unclear after prolonged methadone maintenance treatment (MMT). The aim of the present study was to elucidate cognitive control in individuals with heroin use disorder (HUD) after prolonged MMT and its association with previous relapse.
Methods: A total of 63 HUD subjects (41 subjects with previous relapse and 22 non-relapse subjects, mean MMT duration: 12.
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