Current Burden of Lean Metabolic Dysfunction-Associated Steatotic Liver Disease Among US Adults, 2017-2023.

Our study investigated the prevalence of lean steatotic liver disease (SLD) and its subcategories, including metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction-related and alcohol-related SLD (MetALD), and alcohol-related liver disease (ALD) among lean adults in the US. Analysing data from 2965 lean adults (≥ 18 years) from the National Health and Nutrition Examination Survey (2017-2023), we found the age-adjusted prevalence of lean SLD to be 12.8%.

Novel Computational and Artificial Intelligence Models in Cancer Research.

The ICIBM 2023 marked the 11th annual conference of its kind, with the ICIBM recently becoming the official conference of the International Association for Intelligent Biology and Medicine (IAIBM), showcasing cutting-edge advancements at the intersection of computation and biomedical research [...

Emerging Biomarkers and Determinants of Lipoprotein Profiles to Predict CVD Risk: Implications for Precision Nutrition.

Biomarkers constitute a valuable tool to diagnose both the incidence and the prevalence of chronic diseases and may help to inform the design and effectiveness of precision nutrition interventions. Cardiovascular disease (CVD) continues to be the foremost cause of death all over the world. While the reasons that lead to increased risk for CVD are multifactorial, dyslipidemias, plasma concentrations of specific lipoproteins, and dynamic measures of lipoprotein function are strong biomarkers to predict and document coronary heart disease incidence.

Design, Structure-Activity Relationships, and Computational Modeling Studies of a Series of α-Helix Biased, Ultra-Short Glucagon-like Peptide-1 Receptor Agonists.

A systematic structure-activity and computational modeling analysis of a series of glucagon-like peptide-1 receptor (GLP-1R) agonists based upon an ultra-short GLP-1 peptide, H-His-Aib-Glu-Gly-Thr-Phe-Thr-Ser-Asp-Bip-Bip-NH2, was conducted. This highly potent 11-mer peptide led to a deeper understanding of the α-helical bias of strategic α-methylation within the linear parent template as well as optimization of GLP-1R agonist potency by 1000-fold. These data were correlated with previously reported co-structures of both full-length GLP-1 analogs and progenitor N-terminal GLP-1 fragment analogs related to such ultra-short GLP-1R agonist peptides.

Physical activity and the outcome of cognitive trajectory: a machine learning approach.

Background: Physical activity (PA) may have an impact on cognitive function. Machine learning (ML) techniques are increasingly used in dementia research, e.g.

Governance of Indigenous data in open earth systems science.

In the age of big data and open science, what processes are needed to follow open science protocols while upholding Indigenous Peoples' rights? The Earth Data Relations Working Group (EDRWG), convened to address this question and envision a research landscape that acknowledges the legacy of extractive practices and embraces new norms across Earth science institutions and open science research. Using the National Ecological Observatory Network (NEON) as an example, the EDRWG recommends actions, applicable across all phases of the data lifecycle, that recognize the sovereign rights of Indigenous Peoples and support better research across all Earth Sciences.

Design and implementation of an action plan for justice, equity, diversity, and inclusion within the Clinical Genome Resource.

How might members of a large, multi-institutional research and resource consortium foster justice, equity, diversity, and inclusion as central to its mission, goals, governance, and culture? These four principles, often referred to as JEDI, can be aspirational-but to be operationalized, they must be supported by concrete actions, investments, and a persistent long-term commitment to the principles themselves, which often requires self-reflection and course correction. We present here the iterative design process implemented across the Clinical Genome Resource (ClinGen) that led to the development of an action plan to operationalize JEDI principles across three major domains, with specific deliverables and commitments dedicated to each. Active involvement of consortium leadership, buy-in from its members at all levels, and support from NIH program staff at pivotal stages were essential to the success of this effort.

The relationship of medical and recreational cannabis laws with opioid misuse and opioid use disorder in the USA: Does it depend on prior history of cannabis use?

Background: Wider availability of cannabis through medical and recreational legalization (MCL alone and RCL+MCL) has been hypothesized to contribute to reductions in opioid use, misuse, and related harms. We examined whether state adoption of cannabis laws was associated with changes in opioid outcomes overall and stratified by cannabis use.

Methods: Using National Survey on Drug Use and Health (NSDUH) data from 2015 to 2019, we estimated cannabis law associations with opioid (prescription opioid misuse and/or heroin use) misuse and use disorder.

Optimizing hepatitis B virus seroprotection in thoracic organ transplantation: The role of HepB-CpG (Heplisav-B) vaccination schedule.

Introduction: Heplisav-B, a CpG-adjuvanted recombinant hepatitis B virus (HBV) vaccine, has a higher seroprotection rate and immunogenicity than the conventional HBV vaccine. This study aimed to identify the predictors of HBV seroprotection post-transplantation in thoracic organ transplant recipients who received Heplisav-B.

Methods: We conducted a retrospective study of adult thoracic organ (heart and lung) transplant recipients at Mayo Clinic sites in Minnesota, Arizona, and Florida between January 2020 and August 2023.

Patient-reported outcome trajectories the first 24 months after surgery for cervical spondylotic myelopathy: a Quality Outcomes Database study.

Objective: Cervical spondylotic myelopathy (CSM) shows varying levels of improvement after surgical treatment. While some patients improve soon after surgery, others may take months to years to show any signs of improvement. The goal of this study was to evaluate postoperative improvement, patient-reported outcomes, and patient satisfaction up to 2 years after surgical treatment for CSM, which will help optimize the current treatment strategies and effectively manage patient expectations.

The impact of lower thoracic versus upper lumbar upper instrumented vertebra in minimally invasive correction of adult spinal deformity.

Objective: The goal of this study was to compare the impact of using a lower thoracic (LT) versus upper lumbar (UL) level as the upper instrumented vertebra (UIV) on clinical and radiographic outcomes following minimally invasive surgery for adult spinal deformity.

Methods: A multicenter retrospective study design was used. Inclusion criteria were age ≥ 18 years, and one of the following: coronal Cobb angle > 20°, sagittal vertical axis > 50 mm, pelvic tilt > 20°, pelvic incidence-lumbar lordosis mismatch > 10°.

Ten simple rules for good model-sharing practices.

Computational models are complex scientific constructs that have become essential for us to better understand the world. Many models are valuable for peers within and beyond disciplinary boundaries. However, there are no widely agreed-upon standards for sharing models.

Saccades and Blinks Index Cognitive Demand During Auditory Noncanonical Sentence Comprehension.

Noncanonical sentence structures pose comprehension challenges because they require increased cognitive demand. Prosody may partially alleviate this cognitive load. These findings largely stem from behavioral studies, yet physiological measures may reveal additional insights into how cognition is deployed to parse sentences.

The NeuroML ecosystem for standardized multi-scale modeling in neuroscience.

Data-driven models of neurons and circuits are important for understanding how the properties of membrane conductances, synapses, dendrites, and the anatomical connectivity between neurons generate the complex dynamical behaviors of brain circuits in health and disease. However, the inherent complexity of these biological processes makes the construction and reuse of biologically detailed models challenging. A wide range of tools have been developed to aid their construction and simulation, but differences in design and internal representation act as technical barriers to those who wish to use data-driven models in their research workflows.

Trigeminal neuralgia as a presentation of high cervical stenosis: a systematic review of the literature.

Purpose: An atypical presentation of cervical spondylopathy (CS), trigeminal neuralgia (TN) is attributable to the extension of trigeminal nuclei into the spinal cord and is frequently overlooked, leading to limited discussion with patients regarding potential anterior cervical surgery. Our systematic review assesses the effectiveness of cervical surgery for concurrent trigeminal neuralgia in cases of cervical spondylopathy.

Methods: A systematic review exploring cases of trigeminal neuralgia related to cervical spondylopathy was conducted searching on PubMed, Scopus and Embase databases for article in English.

Child fostering and maternal migration in sub-Saharan Africa.

Rising feminization of migration has resulted in substantial flows of women migrating in Africa, increasing the importance of migration in women's lives. Although child fostering is an enduring feature of family life throughout Africa, few studies have examined the role that maternal migration may play in these arrangements. I use Demographic and Health Survey data from 24 African countries to explore associations between maternal migration experience and fostering out of children aged 0-17, focusing on maternal migrant status, migrant stream, motivation, and timing of migration relative to births of children, to explore potential disruption introduced by migration.

Predicting cognitive decline from neuropsychiatric symptoms and Alzheimer's disease biomarkers: A machine learning approach to a population-based data.

Background: The aim of this study was to examine the potential added value of including neuropsychiatric symptoms (NPS) in machine learning (ML) models, along with demographic features and Alzheimer's disease (AD) biomarkers, to predict decline or non-decline in global and domain-specific cognitive scores among community-dwelling older adults.

Objective: To evaluate the impact of adding NPS to AD biomarkers on ML model accuracy in predicting cognitive decline among older adults.

Methods: The study was conducted in the setting of the Mayo Clinic Study of Aging, including participants aged ≥ 50 years with information on demographics (i.

Health impacts of a remotely delivered prolonged nightly fasting intervention in stressed adults with memory decline and obesity: A nationwide randomized controlled pilot trial.

Objective/goals: Cognitive decline is intricately linked to various factors such as obesity, stress, poor sleep, and circadian rhythm misalignment, which are interrelated in their impact on cognitive health. Irregular food-intake timing further compounds these issues. The practice of prolonged nightly fasting (PNF) may help synchronize food intake with circadian rhythms, potentially mitigating adverse effects of cognitive decline and associated factors.