Unraveling the impact of blood RANKL and OPG levels on Alzheimer's disease: Independent of bone mineral density and inflammation.

Introduction: Observational studies have revealed a close relationship between reduced bone mineral density (BMD) and Alzheimer's disease (AD) risk. The receptor activator of nuclear factor kappa-B ligand (RANKL) and osteoprotegerin (OPG) system, pivotal in regulating bone metabolism, has been implicated in brain function, but the causal impact on AD risk remains unclear.

Methods: We employed bi-directional Mendelian randomization (MR) and multivariable MR (MVMR) approaches to elucidate the effect of blood soluble RANKL (sRANKL) and OPG levels on AD, assessing whether this influence was independent of BMD and inflammation.

Perspective: Minimally clinically important "symptomatic" benefit associated with disease modification resulting from anti-amyloid immunotherapy.

Unlabelled: Despite some skepticism regarding the amyloid hypothesis, there is growing evidence that clearing amyloid by targeting specific species of amyloid (plaque, oligomers, fibrils, and protofibrils) for removal has therapeutic benefits. Specifically, there is growing evidence that, in mild cognitive impairment and mild dementia due to Alzheimer's disease (AD), robust and aggressive removal of amyloid can slow cognitive decline as measured by global instruments, composite measures, and cognitive testing. Furthermore, clinical efficacy signals coupled with clear biomarker changes provide the first evidence of disease modification.

Dynamic neurocognitive adaptation in aging: Development and validation of a new scale.

Introduction: Forty-five percent of Alzheimer's disease (AD) cases may have been preventable through protective factors. Reserve, resilience, and resistance share common neurocognitive adaptive processes, acting through protective mechanisms. In this article we propose the development and validation of a new scale, called dynamic Neurocognitive Adaptation, developed in this direction.

Prospective Validation of an Automated Hybrid Multidimensional MRI Tool for Prostate Cancer Detection Using Targeted Biopsy: Comparison with PI-RADS-based Assessment.

Purpose To evaluate the use of an automated hybrid multidimensional MRI (HM-MRI)-based tool to prospectively identify prostate cancer targets before MRI/US fusion biopsy in comparison with Prostate Imaging and Reporting Data System (PI-RADS)-based multiparametric MRI (mpMRI) evaluation by expert radiologists. Materials and Methods In this prospective clinical trial (ClinicalTrials.gov registration no.

Machine learning demonstrates clinical utility in distinguishing retinoblastoma from pseudo retinoblastoma with RetCam images.

Background: Retinoblastoma is diagnosed and treated without biopsy based solely on appearance (with the indirect ophthalmoscope and imaging). More than 20 benign ophthalmic disorders resemble retinoblastoma and errors in diagnosis continue to be made worldwide. A better noninvasive method for distinguishing retinoblastoma from pseudo retinoblastoma is needed.

Variants and vaccines impact nasal immunity over three waves of SARS-CoV-2.

Viral variant and host vaccination status impact infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), yet how these factors shift cellular responses in the human nasal mucosa remains uncharacterized. We performed single-cell RNA sequencing (scRNA-seq) on nasopharyngeal swabs from vaccinated and unvaccinated adults with acute Delta and Omicron SARS-CoV-2 infections and integrated with data from acute infections with ancestral SARS-CoV-2. Patients with Delta and Omicron exhibited greater similarity in nasal cell composition driven by myeloid, T cell and SARS-CoV-2 cell subsets, which was distinct from that of ancestral cases.

The Role of Ultrasound in the Evaluation of Tardive Dyskinesia: A Case Series.

Background: Despite efforts to visualize all the movements of tongue and oropharynx in individuals with focal movement disorders (specifically tardive dyskinesia (TD)), clinicians can miss the complete picture and additional tools may be required to reach an accurate diagnosis.

Cases: We present three cases with TD where ultrasound assisted in diagnoses. These individuals had difficulty swallowing and abnormal sensations in the tongue, which remained undiagnosed until we performed ultrasound of oropharynx which allowed for characterization of these movements.

Mindfulness and Cardiometabolic Health During Pregnancy: An Integrative Review.

Objectives: Cardiometabolic health during pregnancy has potential to influence long-term chronic disease risk for both mother and offspring. Mindfulness practices have been associated with improved cardiometabolic health in non-pregnant populations. The objective was to evaluate diverse studies that explored relationships between prenatal mindfulness and maternal cardiometabolic health.

Conformationally adaptive therapeutic peptides for diseases caused by intrinsically disordered proteins (IDPs). New paradigm for drug discovery: Target the target, not the arrow.

The traditional model of protein structure determined by the amino acid sequence is today seriously challenged by the fact that approximately half of the human proteome is made up of proteins that do not have a stable 3D structure, either partially or in totality. These proteins, called intrinsically disordered proteins (IDPs), are involved in numerous physiological functions and are associated with severe pathologies, e.g.

FORCE platform overcomes barriers of oligonucleotide delivery to muscle and corrects myotonic dystrophy features in preclinical models.

Background: We developed the FORCE platform to overcome limitations of oligonucleotide delivery to muscle and enable their applicability to neuromuscular disorders. The platform consists of an antigen-binding fragment, highly specific for the human transferrin receptor 1 (TfR1), conjugated to an oligonucleotide via a cleavable valine-citrulline linker. Myotonic dystrophy type 1 (DM1) is a neuromuscular disorder caused by expanded CUG triplets in the DMPK RNA, which sequester splicing proteins in the nucleus, lead to spliceopathy, and drive disease progression.

Early Postoperative Outcomes of Surgical Fixation of Proximal Phalanx Fractures With Intramedullary Nails Versus Kirschner Wires.

Background: Kirschner wire (K-wire) and intramedullary (IM) screw fixation are accepted techniques for treatment of unstable proximal phalanx fractures, but comparative reports are lacking. This study aimed to evaluate early clinical outcomes following treatment with K-wire or IM fixation.

Methods: A retrospective review of all proximal phalanx fractures treated surgically at a single center by multiple surgeons was performed from May 1, 2019 to March 1, 2024.

Influence of edentulous areas on the accuracy of the maximum intercuspal position recorded by using different intraoral scanners or an artificial intelligence-based program.

Statement Of Problem: Intraoral scans can be articulated in maximum intercuspal position (MIP) by using an artificial intelligence (AI) based program; however, the impact of edentulous areas on the accuracy of the MIP located using this AI-based program is unknown.

Purpose: The purpose of this in vitro study was to assess the impact of edentulous areas (0, 1, 2, 3, and 4 posterior mandibular teeth) on the accuracy of the MIP located using 3 intraoral scanners (IOSs) and an AI-based program.

Material And Methods: Stone casts articulated in MIP in an articulator were digitized (T710).

Statin use and dementia risk: A systematic review and updated meta-analysis.

Unlabelled: Dementia affects 55 million people globally, with the number projected to triple by 2050. Statins, widely prescribed for cardiovascular benefits, may also have neuroprotective effects, although studies on their impact on dementia risk have shown contradictory results. In this systematic review and meta-analysis, we searched PubMed, Embase, and Cochrane following Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines.

Developing, implementing, and evaluating the first national Memory and Cognition Clinic Guidelines in Australia.

Introduction: A lack of national consensus on the roles and responsibilities of Australian memory and cognition clinics contributes to the large variability seen across services. The introduction of guidelines and a quality assessment framework could facilitate greater harmonization and quality improvements.

Methods: We used a modified Delphi process to develop the guidelines.

Comparison of sample characteristics of Wisconsin Alzheimer's Disease Research Center participants with the Wisconsin state population-An evaluation of the recruitment effort.

Introduction: Understanding how a research sample compares to the population from which it is drawn can help inform future recruitment planning. We compared the Wisconsin Alzheimer's Disease Research Center (WADRC) participant sample to the Wisconsin state population (WI-pop) on key demographic, social exposome, and vascular risk measures.

Methods: The WADRC sample included 930 participants.

LD-informed deep learning for Alzheimer's gene loci detection using WGS data.

Introduction: The exponential growth of genomic datasets necessitates advanced analytical tools to effectively identify genetic loci from large-scale high throughput sequencing data. This study presents Deep-Block, a multi-stage deep learning framework that incorporates biological knowledge into its AI architecture to identify genetic regions as significantly associated with Alzheimer's disease (AD). The framework employs a three-stage approach: (1) genome segmentation based on linkage disequilibrium (LD) patterns, (2) selection of relevant LD blocks using sparse attention mechanisms, and (3) application of TabNet and Random Forest algorithms to quantify single nucleotide polymorphism (SNP) feature importance, thereby identifying genetic factors contributing to AD risk.

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.

Machine Learning-Aided Diagnosis Enhances Human Detection of Perilunate Dislocations.

Background: Perilunate/lunate injuries are frequently misdiagnosed. We hypothesize that utilization of a machine learning algorithm can improve human detection of perilunate/lunate dislocations.

Methods: Participants from emergency medicine, hand surgery, and radiology were asked to evaluate 30 lateral wrist radiographs for the presence of a perilunate/lunate dislocation with and without the use of a machine learning algorithm, which was used to label the lunate.

Schlafen 11 Expression in Patients With Small Cell Lung Cancer and Its Association With Clinical Outcomes.

Background: Schlafen 11 (SLFN-11) has been identified as a sensitizer of tumor cells to DNA-damaging agents. However, the relationship between SLFN-11 expression and clinical outcomes in patients with small cell lung cancer (SCLC) remains unexplored. Thus, we aimed to evaluate the impact of SLFN-11 expression on survival in patients with limited-stage (LS) SCLC.

Math-anxious people suffer more in math-related events: The perspective of reward processing on motivated behavior.

Individuals with high math anxiety (HMA) demonstrate a tendency to avoid math-related tasks, a behavior that perpetuates a detrimental cycle of limited practice, poor performance, increased anxiety, and further avoidance. This study delves into the cognitive and neural bases of math avoidance behavior in HMA through the lens of reward processing. In Experiment 1, participants reported their satisfaction level in response to the reward provided after solving an arithmetic problem.

Digital tools and technologies used in food fortification: A scoping review.

Food fortification (i.e., industrial fortification and biofortification) increases the micronutrient content of foods to improve population nutrition.

A multi-level feature fusion artificial neural network for classification of acoustic emission signals.

In this paper, we introduce FUSION-ANN, a novel artificial neural network (ANN) designed for acoustic emission (AE) signal classification. FUSION-ANN comprises four distinct ANN branches, each housing an independent multilayer perceptron. We extract denoised features of speech recognition such as linear predictive coding, Mel-frequency cepstral coefficient, and gammatone cepstral coefficient to represent AE signals.

Spiny mice (Acomys) have evolved cellular features to support regenerative healing.

Spiny mice (Acomys spp.) are warm-blooded (homeothermic) vertebrates whose ability to restore missing tissue through regenerative healing has coincided with the evolution of unique cellular and physiological adaptations across different tissue types. This review seeks to explore how these bizarre rodents deploy unique or altered injury response mechanisms to either enhance tissue repair or fully regenerate excised tissue compared to closely related, scar-forming mammals.