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Integrated metabolomic and transcriptomic analysis of anthocyanin metabolism in wheat pericarp.
BMC Genom Data
January 2025
Institute of Biotechnology and Food Science, Hebei Academy of Agriculture and Forestry Sciences/Hebei Key Laboratory of Plant Genetic Engineering, Shijiazhuang, 050000, China.
Background: Wheat seeds display different colors due to the types and contents of anthocyanins, which is closely related to anthocyanin metabolism. In this study, a transcriptomic and metabolomic analysis between white and purple color wheat pericarp aimed to explore some key genes and metabolites involved in anthocyanin metabolism.
Results: Two wheat cultivars, a white seed cultivar Shiluan02-1 and purple seed cultivar Hengzi151 were used to identify the variations in differentially expressed genes (DEGs) and differentially accumulated flavonoids (DAFs).
Action observation treatment may improve daily living activities and verb recovery in Parkinson's disease-dementia: findings from a preliminary randomized controlled trial.
Front Aging Neurosci
December 2024
Unit of Neurology, INRCA-IRCCS, National Institute of Health and Science on Aging, Ancona, Italy.
Background And Objectives: Action observation treatment (AOT) is a novel rehabilitation approach aimed to the recovery of both motor and linguistic deficits in subjects with brain lesions. The aim of the present randomized controlled study was to assess the benefits of AOT treatment in the activities of daily living (ADLs) and in the linguistic abilities of the patients with Parkinson's disease dementia (PDD) at mild-moderate stage (Hoehn & Yahr's stage scale: 2-3).
Methods: Twenty patients were enrolled and randomly assigned to an experimental group (submitted to AOT) or to a control group.
Effect of Intravenous Contrast on CT Body Composition Measurements in Patients with Intraductal Papillary Mucinous Neoplasm.
Diagnostics (Basel)
November 2024
Department of Diagnostic Imaging and Interventional Radiology, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL 33612, USA.
Article Synopsis
- The study examines how different post-contrast phases in CT scans impact measurements of body composition, focusing on pancreatic tumors.
- A total of 278 patients were analyzed using an AI-based software that segmented body compartments during three phases of contrast: noncontrast, arterial, and venous.
- Findings indicate that while muscle and fat area measurements showed relatively smaller biases across phases, the Hounsfield units for skeletal muscle and intermuscular adipose tissue demonstrated larger biases, suggesting these factors should be accounted for in CT assessments.
Evaluation of a fully automated computed tomography image segmentation method for fast and accurate body composition measurements.
Nutrition
January 2025
Department of Surgical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands; Department of Surgery, University Medical Center Groningen, Groningen, The Netherlands. Electronic address:
Introduction: Body composition evaluation can be used to assess patients' nutritional status to predict clinical outcomes. To facilitate reliable and time-efficient body composition measurements eligible for clinical practice, fully automated computed tomography segmentation methods were developed. The aim of this study was to evaluate automated segmentation by Data Analysis Facilitation Suite in an independent dataset.
View Article and Find Full Text PDFCopper clusters feature prominently in both metalloenzymes and synthetic nanoclusters that mediate catalytic redox transformations of gaseous small molecules. Such reactions are critical to biological energy conversion and are expected to be crucial parts of renewable energy economies. However, the precise roles of individual metal atoms within clusters are difficult to elucidate, particularly for cluster systems that are dynamic under operating conditions.
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