Diagnosing Epilepsy with Normal Interictal EEG Using Dynamic Network Models.

Objective: Whereas a scalp electroencephalogram (EEG) is important for diagnosing epilepsy, a single routine EEG is limited in its diagnostic value. Only a small percentage of routine EEGs show interictal epileptiform discharges (IEDs) and overall misdiagnosis rates of epilepsy are 20% to 30%. We aim to demonstrate how network properties in EEG recordings can be used to improve the speed and accuracy differentiating epilepsy from mimics, such as functional seizures - even in the absence of IEDs.

Diabetes mellitus and glymphatic dysfunction: Roles for oxidative stress, mitochondria, circadian rhythm, artificial intelligence, and imaging.

Diabetes mellitus (DM) is a debilitating disorder that impacts all systems of the body and has been increasing in prevalence throughout the globe. DM represents a significant clinical challenge to care for individuals and prevent the onset of chronic disability and ultimately death. Underlying cellular mechanisms for the onset and development of DM are multi-factorial in origin and involve pathways associated with the production of reactive oxygen species and the generation of oxidative stress as well as the dysfunction of mitochondrial cellular organelles, programmed cell death, and circadian rhythm impairments.

Cognitive and Alzheimer's disease biomarker effects of oral nicotinamide riboside (NR) supplementation in older adults with subjective cognitive decline and mild cognitive impairment.

Introduction: Age-associated depletion in nicotinamide adenine dinucleotide (NAD+) concentrations has been implicated in metabolic, cardiovascular, and neurodegenerative disorders. Supplementation with NAD+ precursors, such as nicotinamide riboside (NR), offers a potential therapeutic avenue against neurodegenerative pathologies in aging, Alzheimer's disease, and related dementias. A crossover, double-blind, randomized placebo (PBO) controlled trial was conducted to test the safety and efficacy of 8 weeks' active treatment with NR (1 g/day) on cognition and plasma AD biomarkers in older adults with subjective cognitive decline and mild cognitive impairment.

Social Media Content Analysis of Public and Private Glucose-6-Phosphate Dehydrogenase (G6PD) Deficiency Facebook Groups.

Background: As social media continue to grow as popular and convenient tools for acquiring and disseminating health information, the need to investigate its utilization by laypersons encountering common medical issues becomes increasingly essential.

Objectives: This study aimed to analyze the content posted in Facebook groups for Glucose-6-Phosphate Dehydrogenase (G6PD) deficiency and how these engage the members of the group.

Methods: This study employed an inductive content analysis of user-posted content in both public and private Facebook groups catering specifically to G6PD deficiency.

Electrical Heterogeneity in Hispanic Background Subpopulations: The HCHS/SOL.

Background: The Hispanic/Latino population is not uniform. Prevalence and clinical outcomes of cardiac arrhythmias in ethnic background subgroups are variable, but the reasons for differences are unclear. Vectorcardiographic Global Electrical Heterogeneity (GEH) has been shown to be associated with adverse cardiovascular outcomes.

A Scoping Review of Electronic Health Records-Based Screening Algorithms for Familial Hypercholesterolemia.

Background: Familial hypercholesterolemia (FH) is a common genetic disorder that is strongly associated with premature cardiovascular disease. Effective diagnosis and appropriate treatment of FH can reduce cardiovascular disease risk; however, FH is underdiagnosed. Electronic health record (EHR)-based FH screening tools have been previously described to enhance the detection of FH.

Home-Based Cardiac Rehabilitation Among Attendees From a Large Health Care System During the Covid-19 Pandemic.

Background: Few studies have evaluated home-based cardiac rehabilitation (HBCR) during the pandemic, compared to prepandemic center-based CR (CBCR), with respect to patient characteristics, participation rates, and its efficacy on clinical metrics, health-related quality of life (QoL), and modifiable risk factors.

Objectives: We aimed to describe patient characteristics and participation rates for those attending HBCR compared to patients who attended CBCR and compare the effects of HBCR vs CBCR on clinical metrics, health-related QoL, and modifiable risk factors in CR patients pre vs during the COVID-19 pandemic.

Methods: A retrospective cohort study comparing 511 HBCR patients and 765 CBCR patients from the Mayo Clinic Health System.

PREVENT and Pooled Cohort Equations in Mortality Risk Prediction: National Health and Nutrition Examination Survey.

Background: The Predicting Risk of CVD Events (PREVENT) equations were developed to address limitations of the Pooled Cohort Equations (PCEs) in predicting atherosclerotic cardiovascular disease (ASCVD) risk. The comparative effectiveness of the PREVENT equations versus the PCEs in predicting mortality risk remains unknown.

Objectives: The purpose of this study was to compare the risk discrimination value of the PREVENT equations with the PCEs for predicting mortality.

Strong Association Between HIV Incidence and Herpes Simplex Virus Type 2 in Zambia and South Africa: Prospective Data From the HPTN 071 (PopART) Trial.

Background: Herpes simplex virus type 2 (HSV2) is an important cofactor for HIV acquisition and transmission. Associations between the infections are reexamined in longitudinal data from an HIV prevention trial.

Methods: The HPTN 071 (PopART) trial evaluated a combination prevention intervention in 21 urban communities in Zambia and South Africa.

Digital Health Interventions for the Optimization of Postpartum Cardiovascular Health: A Systematic Scoping Review.

Background: Digital health technologies have been proposed as a potential solution to improving maternal cardiovascular (CV) health in the postpartum (PP) period. In this context we performed a systematic scoping review of digital health interventions designed to improve PP CV health.

Methods: We conducted a systematic review of PubMed/MEDLINE, EMBASE, CINAHL, Web of Science and the Cochrane Library.

Safety and Efficacy of Metformin for Idiopathic Intracranial Hypertension. A U.S-Based Real-World Data Retrospective Multicenter Cohort Study.

Introduction: Managing idiopathic intracranial hypertension (IIH) is challenging due to limited treatment options. This study evaluates metformin as a potential therapy for IIH, examining its impact on disease outcomes and safety.

Methods: We performed a retrospective cohort study using the TriNetX database, covering data from 2009 to August 2024.

Focusing on antimicrobial resistant infections -are we missing the forest for the trees and the patients for pathogens?

Antimicrobial resistance (AMR) is a challenge because it is associated with worse patient outcomes. To solve the problem will take development of interventions and policies which improve patient outcomes by prolonging survival, improving patient symptoms, function and quality of life. Logically, we should look to focusing resources in areas that would have the greatest impact on public health.

Unguarded liabilities: complex amino acid dependence exposes unique avenues of inhibition.

Recent reports from the Centers for Disease Control and Prevention approximate 500,000 cases of Lyme disease in the United States yearly, a significant economic burden on the healthcare system. The standard treatment for Lyme disease includes broad-spectrum antibiotics, which may be administered for extensive periods of time and result in significant impacts to the patient. Recently, we demonstrated that , the causative agent of Lyme disease, is uniquely dependent upon peptide acquisition via an oligopeptide transport (Opp) system.

Brain aging rejuvenation factors in adults with genetic and sporadic neurodegenerative disease.

The largest risk factor for dementia is age. Heterochronic blood exchange studies have uncovered age-related blood factors that demonstrate 'pro-aging' or 'pro-youthful' effects on the mouse brain. The clinical relevance and combined effects of these factors for humans is unclear.

Effects of Malted Rice Amazake Consumption on Nutritional Status and Gut Microbiome in Older Patients and Residents of an Integrated Facility for Medical and Long-Term Care.

Malnutrition is observed in approximately 20-50% of hospitals and long-term care facilities. We examined the effects of malted rice amazake beverage on the nutritional status and gut microbiome of older patients and residents in an integrated long-term care facility; 13 older patients and residents (84.6 ± 9.

A deep learning feature importance test framework for integrating informative high-dimensional biomarkers to improve disease outcome prediction.

Many human diseases result from a complex interplay of behavioral, clinical, and molecular factors. Integrating low-dimensional behavioral and clinical features with high-dimensional molecular profiles can significantly improve disease outcome prediction and diagnosis. However, while some biomarkers are crucial, many lack informative value.

Extracellular RNA communication: A decade of NIH common fund support illuminates exRNA biology.

The discovery that extracellular RNAs (exRNA) can act as endocrine signalling molecules established a novel paradigm in intercellular communication. ExRNAs can be transported, both locally and systemically in virtually all body fluids. In association with an array of carrier vehicles of varying complexity, exRNA can alter target cell phenotype.

Challenges and opportunities for validation of AI-based new approach methods.

The integration of artificial intelligence (AI) into new approach methods (NAMs) for toxicology rep-resents a paradigm shift in chemical safety assessment. Harnessing AI appropriately has enormous potential to streamline validation efforts. This review explores the challenges, opportunities, and future directions for validating AI-based NAMs, highlighting their transformative potential while acknowledging the complexities involved in their implementation and acceptance.

Choroid plexus-targeted viral gene therapy for alpha-mannosidosis, a prototypical neurometabolic lysosomal storage disease.

The choroid plexuses (CP) are highly vascularized structures that project into the ventricles of the vertebrate brain. The polarized epithelia of the CP produce cerebrospinal fluid by transporting water and ions into the ventricles from the blood and normally secrete a large number of proteins. We assessed the feasibility of selective CP transduction with recombinant adeno-associated virus (rAAV) gene therapy vectors for treatment of lysosomal storage disease (LSD), a broad category of neurometabolic illness associated with significant burdens to affected patients and their families.

High-Field-Blinded Assessment of Portable Ultra-Low-Field Brain MRI for Multiple Sclerosis.

Background And Purpose: MRI is crucial for multiple sclerosis (MS), but the relative value of portable ultra-low field MRI (pULF-MRI), a technology that holds promise for extending access to MRI, is unknown. We assessed white matter lesion (WML) detection on pULF-MRI compared to high-field MRI (HF-MRI), focusing on blinded assessments, assessor self-training, and multiplanar acquisitions.

Methods: Fifty-five adults with MS underwent pULF-MRI following their HF-MRI.

SNORA37/CMTR1/ELAVL1 feedback loop drives gastric cancer progression via facilitating CD44 alternative splicing.

Background: Emerging evidence shows that small nucleolar RNA (snoRNA), a type of highly conserved non-coding RNA, is involved in tumorigenesis and aggressiveness. However, the roles of snoRNAs in regulating alternative splicing crucial for cancer progression remain elusive.

Methods: High-throughput RNA sequencing and comprehensive analysis were performed to identify crucial snoRNAs and downstream alternative splicing events.

Genome-wide association studies are enriched for interacting genes.

Background: With recent advances in single cell technology, high-throughput methods provide unique insight into disease mechanisms and more importantly, cell type origin. Here, we used multi-omics data to understand how genetic variants from genome-wide association studies influence development of disease. We show in principle how to use genetic algorithms with normal, matching pairs of single-nucleus RNA- and ATAC-seq, genome annotations, and protein-protein interaction data to describe the genes and cell types collectively and their contribution to increased risk.

Investigating the reassortment potential and pathogenicity of the S segment in Akabane virus using a reverse genetics system.

Background: Akabane virus (AKAV) is an arthropod-borne virus that causes congenital malformations and neuropathology in cattle and sheep. In South Korea, AKAVs are classified into two main genogroups: K0505 and AKAV-7 strains. The K0505 strain infects pregnant cattle, leading to fetal abnormalities, while the AKAV-7 strain induces encephalomyelitis in post-natal cattle.

Immune responses of cattle vaccinated by various routes with Mycobacterium bovis Bacillus Calmette-Guérin (BCG).

Background: Mycobacterium bovis BCG is the human tuberculosis vaccine and is the oldest vaccine still in use today with over 4 billion people vaccinated since 1921. The BCG vaccine has also been investigated experimentally in cattle and wildlife by various routes including oral and parenteral. Thus far, oral vaccination studies of cattle have involved liquid BCG or liquid BCG incorporated into a lipid matrix.