Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/1521-3773(20021202)41:23<4517::AID-ANIE4517>3.0.CO;2-G | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Association between early dietary patterns and cardiometabolic health at age 8: a confirmatory analysis of the European Childhood Obesity Project.
Nutr J
January 2025
Paediatrics, Nutrition and Development Research Unit, Universitat Rovira i Virgili. Reus, Tarragona, Spain.
Background & Aim: Metabolic and cardiovascular health outcomes are strongly influenced by diet. Dietary habits established in early childhood may persist into adulthood. This study aimed to examine the association between dietary patterns at both 2 and 8 years of age, explaining the maximum variability of high- and low-quality fats, sugars, and fibre, and cardiometabolic markers at age 8 years.
View Article and Find Full Text PDFSymptom Network and Subgroup Analysis in Patients with Exacerbation of Chronic Obstructive Pulmonary Disease: A Cross-Sectional Study.
Int J Chron Obstruct Pulmon Dis
January 2025
Key Laboratory of Interventional Pulmonology of Zhejiang Province, Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China.
Purpose: This study aims to construct a contemporaneous symptom network of inpatients with Exacerbation of Chronic Obstructive Pulmonary Disease (ECOPD) based on the symptom cluster, identify core and bridge symptoms, and patient subgroups with different symptom clusters based on individual differences in the intensity of patient symptom experiences.
Patients And Methods: This study used convenience sampling to collect demographic, symptom, auxiliary examination, and prognosis information of 208 inpatients with ECOPD from April 2022 to October 2023. The data underwent exploratory factor analysis (EFA), symptom network analysis, latent class analysis (LCA), Spearman correlation analysis, Wilcoxon signed-rank test, single-factor regression and multiple-factor stepwise regression.
Speciation of Potentially Carcinogenic Trace Nickel(II) Ion Levels in Human Saliva: A Sequential Metabolomics-Facilitated High-Field H NMR Investigation.
Metabolites
December 2024
Leicester School of Pharmacy, De Montfort University, Leicester LE1 9BH, UK.
Since the biological activities and toxicities of 'foreign' and/or excess levels of metal ions are predominantly determined by their precise molecular nature, here we have employed high-resolution H NMR analysis to explore the 'speciation' of paramagnetic Ni(II) ions in human saliva, a potentially rich source of biomolecular Ni(II)-complexants/chelators. These studies are of relevance to the corrosion of nickel-containing metal alloy dental prostheses (NiC-MADPs) in addition to the dietary or adverse toxicological intake of Ni(II) ions by humans. Unstimulated whole-mouth human saliva samples were obtained from n = 12 pre-fasted (≥8 h) healthy participants, and clear whole-mouth salivary supernatants (WMSSs) were obtained from these via centrifugation.
View Article and Find Full Text PDFComprehensive assessment of the significance of cellular senescence-associated genes in neuroblastoma.
Genes Genomics
January 2025
Department of Pediatric Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan, China.
Background: The clinical course of high-risk neuroblastoma patients remains suboptimal, and the dynamic and reversible nature of cellular senescence provides an opportunity to develop new therapies.
Objective: This study aims to identify unique markers of cellular senescence in neuroblastoma and to explore their clinical significance.
Methods: The impact of multiple genetic regulatory mechanisms on cellular senescence-associated genes (CSAGs) was first assessed.
Comparing circular and flexibly-shaped scan statistics for disease clustering detection.
Front Public Health
January 2025
School of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou, China.
The accuracy of spatial clustering detection is crucial for public health policy development and identifying etiological clues. Circular and flexibly-shaped scan statistics are widely used for disease cluster detection, but differences in results arise mainly due to parameter sensitivity and variations in the scanning window shapes. This study aims to analyze the impact of parameter settings on the results of these methods and compare their performance in disease clustering detection.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!