Construction and characterization of chimeric FcγR T cells for universal T cell therapy.

Background: Several approaches are being explored for engineering off-the-shelf chimeric antigen receptor (CAR) T cells. In this study, we engineered chimeric Fcγ receptor (FcγR) T cells and tested their potential as a versatile platform for universal T cell therapy.

Methods: Chimeric FcγR (CFR) constructs were generated using three distinct forms of FcγR, namely CD16A, CD32A, and CD64.

The interaction of tPA with NMDAR1 drives neuroinflammation and neurodegeneration in α-synuclein-mediated neurotoxicity.

The thrombolytic protease tissue plasminogen activator (tPA) is expressed in the CNS, where it regulates diverse functions including neuronal plasticity, neuroinflammation, and blood-brain-barrier integrity. However, its role in different brain regions such as the substantia nigra (SN) is largely unexplored. In this study, we characterize tPA expression, activity, and localization in the SN using a combination of retrograde tracing and β-galactosidase tPA reporter mice.

Blood absolute lymphocyte count and trajectory are important in understanding severe COVID-19.

Background: Low blood absolute lymphocyte count (ALC) may predict severe COVID-19 outcomes. Knowledge gaps remain regarding the relationship of ALC trajectory with clinical outcomes and factors associated with lymphopenia.

Methods: Our post hoc analysis of the Therapeutics for Inpatients with COVID-19 platform trial utilized proportional hazards models to assess relationships between Day (D) 0 lymphopenia (ALC < 0.

2-[F]Fluoropropionic Acid PET Imaging of Doxorubicin-Induced Cardiotoxicity.

Purpose: Treatment of pediatric cancers with doxorubicin is a common and predictable cause of cardiomyopathy. Early diagnosis of treatment-induced cardiotoxicity and intervention are major determinants for the prevention of advanced disease. The onset of cardiomyopathies is often accompanied by profound changes in lipid metabolism, including an enhanced uptake of short-chain fatty acids (SCFA).

Predicting image memorability from evoked feelings.

While viewing a visual stimulus, we often cannot tell whether it is inherently memorable or forgettable. However, the memorability of a stimulus can be quantified and partially predicted by a collection of conceptual and perceptual factors. Higher-level properties that represent the "meaningfulness" of a visual stimulus to viewers best predict whether it will be remembered or forgotten across a population.

Governance and resilience as entry points for transforming food systems in the countdown to 2030.

Due to complex interactions, changes in any one area of food systems are likely to impact-and possibly depend on-changes in other areas. Here we present the first annual monitoring update of the indicator framework proposed by the Food Systems Countdown Initiative, with new qualitative analysis elucidating interactions across indicators. Since 2000, we find that 20 of 42 indicators with time series have been trending in a desirable direction, indicating modest positive change.

ROAR-CAT: Rapid Online Assessment of Reading ability with Computerized Adaptive Testing.

The Rapid Online Assessment of Reading (ROAR) is a web-based lexical decision task that measures single-word reading abilities in children and adults without a proctor. Here we study whether item response theory (IRT) and computerized adaptive testing (CAT) can be used to create a more efficient online measure of word recognition. To construct an item bank, we first analyzed data taken from four groups of students (N = 1960) who differed in age, socioeconomic status, and language-based learning disabilities.

Innate Versus Acquired: A Review of Predictive Technical Aptitude Assessments in Surgical Trainee Selection.

Purpose Of Review: The evaluation and selection process of similarly qualified applicants for surgical residency positions in the United States (US) is challenging. Technical aptitude assessments may provide an opportunity to improve the selection process by offering insight into a candidate's technical skills. The use of these assessments prompts consideration of the degree to which technical aptitude in surgery is innate versus acquired.

Distinct detection and discrimination sensitivities in visual processing of real versus unreal optic flow.

We examined the intricate mechanisms underlying visual processing of complex motion stimuli by measuring the detection sensitivity to contraction and expansion patterns and the discrimination sensitivity to the location of the center of motion (CoM) in various real and unreal optic flow stimuli. We conducted two experiments (N = 20 each) and compared responses to both "real" optic flow stimuli containing information about self-movement in a three-dimensional scene and "unreal" optic flow stimuli lacking such information. We found that detection sensitivity to contraction surpassed that to expansion patterns for unreal optic flow stimuli, whereas this trend was reversed for real optic flow stimuli.

Social Vulnerability and Biological Aging in New York City: An Electronic Health Records-Based Study.

Chronological age is not an accurate predictor of morbidity and mortality risk, as individuals' aging processes are diverse. Phenotypic age acceleration (PhenoAgeAccel) is a validated biological age measure incorporating chronological age and biomarkers from blood samples commonly used in clinical practice that can better reflect aging-related morbidity and mortality risk. The heterogeneity of age-related decline is not random, as environmental exposures can promote or impede healthy aging.

Randomized clinical trial of a digital integrative medicine intervention among patients undergoing active cancer treatment.

Exercise and mindfulness-based interventions have growing evidence for managing fatigue and comorbid symptoms; however, packaging them in a cohesive digital way for patients undergoing cancer treatment has not been evaluated. We conducted a randomized controlled trial to assess the impact of a 12 week digital integrative medicine program, Integrative Medicine at Home (IM@Home), versus enhanced usual care on fatigue severity (primary outcome), comorbid symptoms and acute healthcare utilization (secondary outcomes), in 200 patients with solid tumors experiencing fatigue during treatment. Fatigue severity decreased more in IM@Home than in the control (1.

Neurophysiological correlates of ketamine-induced dissociative state in bipolar disorder: insights from real-world clinical settings.

Ketamine, a dissociative compound, shows promise in treating mood disorders, including treatment-resistant depression (TRD) and bipolar disorder (BD). Despite its therapeutic potential, the neurophysiological mechanisms underlying ketamine's effects are not fully understood. This study explored acute neurophysiological changes induced by subanesthetic doses of ketamine in BD patients with depression using electroencephalography (EEG) biomarkers.

Comprehensive dataset from high resolution UAV land cover mapping of diverse natural environments in Serbia.

This study highlights the vital role of high-resolution (HR), open-source land cover maps for food security, land use planning, and environmental protection. The scarcity of freely available HR datasets underscores the importance of multi-spectral HR aerial images. We used unmanned aerial vehicle (UAV) to capture images for a centimeter-level orthomosaics, facilitating advanced remote sensing and spatial analysis.

Best Practice Guidelines for Collecting Microbiome Samples in Research Studies.

Microbiome research has the potential to provide valuable information regarding the complex relationship between microbial communities and the human body. To help facilitate the translation of this potentially revolutionary research to clinical medicine, common guidelines and best practices are necessary. These guidelines should be based on the key findings of recent research in the field and address the primary areas of discrepancy in the previously published literature.

Experimental bilayer zirconia systems after aging: Mechanical, optical, and microstructural characterization.

Objectives: To characterize two experimental zirconia bilayer materials compared to their monolithic controls, before and after hydrothermal aging.

Methods: Commercial zirconia powders were utilized to fabricate two bilayer materials: 3Y-TZP+ 5Y-PSZ (3Y+5Y/BI) and 4Y-PSZ+ 5Y-PSZ (4Y+5Y/BI), alongside control groups 3Y-TZP (3Y/C), 4Y-PSZ (4Y/C), and 5Y-PSZ (5Y/C). Compacted specimens were sintered (1550 °C- 2 h, 3 °C/min), and half of them underwent hydrothermal aging (134 °C-20h, 2.

The trochlea for the intermediate tendon of the digastric muscle: a review.

This review explores the novel perspective that the intermediate tendon of the digastric muscle may function as an anatomical trochlear pulley system within the human body, challenging the traditional understanding of trochlear systems. While widely recognized trochlear units include structures like the medial part of the humerus and the superior oblique muscle of the orbit, the review focuses on the unique anatomical arrangement of the intermediate tendon of the digastric muscle in connection with the anterior and posterior bellies of the digastric muscles. Despite current debates within the anatomical community about labeling the digastric muscles as having a trochlea, this paper delves into the scientific definition of a trochlear pulley system, presenting the intermediate tendon of the digastric muscle as a potential trochlea.

Pretrained Deep Neural Network Kin-SiM for Single-Molecule FRET Trace Idealization.

Single-molecule fluorescence resonance energy transfer (smFRET) has emerged as a pivotal technique for probing biomolecular dynamics over time at nanometer scales. Quantitative analyses of smFRET time traces remain challenging due to confounding factors such as low signal-to-noise ratios, photophysical effects such as bleaching and blinking, and the complexity of modeling the underlying biomolecular states and kinetics. The dynamic distance information shaping the smFRET trace powerfully uncovers even transient conformational changes in single biomolecules both at or far from equilibrium, relying on trace idealization to identify specific interconverting states.

Wildlife policy, the food system and One Health: a complex systems analysis of unintended consequences for the prevention of emerging zoonoses in China, the Democratic Republic of the Congo and the Philippines.

Introduction: Evolving human-wildlife interactions have contributed to emerging zoonoses outbreaks, and pandemic prevention policy for wildlife management and conservation requires enhanced consideration from this perspective. However, the risk of unintended consequences is high. In this study, we aimed to assess how unrecognised complexity and system adaptation can lead to policy failure, and how these dynamics may impact zoonotic spillover risk and food system outcomes.

XIS-Temperature: A daily spatiotemporal machine-learning model for air temperature in the contiguous United States.

The challenge of reconstructing air temperature for environmental applications is to accurately estimate past exposures even where monitoring is sparse. We present XGBoost-IDW Synthesis for air temperature (XIS-Temperature), a high-resolution machine-learning model for daily minimum, mean, and maximum air temperature, covering the contiguous US from 2003 through 2023. XIS uses remote sensing (land surface temperature and vegetation) along with a parsimonious set of additional predictors to make predictions at arbitrary points, allowing the estimation of address-level exposures.

Characterizing the Microstructural Transition at the Gray Matter-White Matter Interface: Implementation and Demonstration of Age-Associated Differences.

Background: The cortical gray matter-white matter interface (GWI) is a natural transition zone where the composition of brain tissue abruptly changes and is a location for pathologic change in brain disorders. While diffusion magnetic resonance imaging (dMRI) is a reliable and well-established technique to characterize brain microstructure, the GWI is difficult to assess with dMRI due to partial volume effects and is normally excluded from such studies.

Methods: In this study, we introduce an approach to characterize the dMRI microstructural profile across the GWI and to assess the sharpness of the microstructural transition from cortical gray matter (GM) to white matter (WM).