Cross-cultural adaptation and validation of the short nutritional literacy scale for young adults (18-35years) and analysis of the influencing factors.

OBJECTIVES: This study translated the short nutrition literacy scale for young adults (18-35 years) into Chinese, examined its reliability and validity, and analyzed its influencing factors. METHODS: The scale was translated using a modified Brislin translation model. A convenience sample of 508 cases was selected for the survey. Content validity, structural validity, Cronbach's alpha coefficient, and test-retest reliability were used to evaluate the scale's reliability and validity. To screen the factors influencing nutrition literacy in young people. RESULTS: The Chinese version of the Item-Level Content Validity Index (I-CVI) was 0.833 ~ 1, and the Scale-Level Content Validity Index/Average (S-CVI/Ave) was 0.908. The cumulative variance contribution of the scale was 51.029%, and the model was generally well-fitted. The Cronbach's alpha coefficient and retest reliability of the scale were 0.826 and 0.818. The results showed that the level of education, mother's education, nutrition-related courses, and frequency of attention to nutritional health information were the factors influencing the nutritional literacy of young people. CONCLUSION: The Chinese version of the S-NutLit Scale can effectively assess the nutrients of young Chinese people. Low levels of education, low levels of education of mothers, lack of exposure to nutrition-related courses, and low frequency of attention to nutritional health information can lead to lower levels of nutritional literacy among young people.

Overexpression of EgrZFP6 from Eucalyptus grandis increases ROS levels by downregulating photosynthesis in plants.

In plants, abiotic stressors are frequently encountered during growth and development. To counteract these challenges, zinc finger proteins play a critical role as transcriptional regulators. The EgrZFP6 gene, which codes for a zinc finger protein of the C2H2 type, was shown to be considerably elevated in the leaves of Eucalyptus grandis seedlings in the current study when they were subjected to a variety of abiotic stimuli, including heat, salinity, cold, and drought. Analysis conducted later showed that in EgrZFP6 transgenic Arabidopsis thaliana, EgrZFP6 was essential for causing hyponastic leaves and controlling the stress response. Furthermore, the transgenic plants showed elevated levels of reactive oxygen species (ROS), such as superoxide and hydrogen peroxide (H2O2). Additionally, in EgrZFP6-overexpressing plants, transcriptome sequencing analysis demonstrated a considerable downregulation of many genes involved in photosynthesis, decreasing electron transport efficiency and perhaps promoting the buildup of ROS. Auxin levels were higher and auxin signal transduction was compromised in the transgenic plants. Stress-related genes were also upregulated in Arabidopsis as a result of EgrZFP6 overexpression. It is hypothesized that EgrZFP6 can downregulate photosynthesis, which would cause the production of ROS in chloroplasts. As a result, this protein may alter plant stress responses and leaf morphology via a retrograde mechanism driven by ROS. These results highlight the significance of zinc finger proteins in this sophisticated process and advance our understanding of the complex link between gene regulation, ROS signaling, and plant stress responses.

A Highly Selective Implantable Electrochemical Fiber Sensor for Real-Time Monitoring of Blood Homovanillic Acid.

Homovanillic acid (HVA) is a major dopamine metabolite, and blood HVA is considered as central nervous system (CNS) dopamine biomarker, which reflects the progression of dopamine-associated CNS diseases and the behavioral response to therapeutic drugs. However, facing blood various active substances interference, particularly structurally similar catecholamines and their metabolites, real-time and accurate monitoring of blood HVA remains a challenge. Herein, a highly selective implantable electrochemical fiber sensor based on a molecularly imprinted polymer is reported to accurately monitor HVA in vivo. The sensor exhibits high selectivity, with a response intensity to HVA 12.6 times greater than that of catecholamines and their metabolites, achieving 97.8% accuracy in vivo. The sensor injected into the rat caudal vein tracked the real-time changes of blood HVA, which paralleled the brain dopamine fluctuations and indicated the behavioral response to dopamine increase. This study provides a universal design strategy for improving the selectivity of implantable electrochemical sensors.