Applying the health belief model (HBM) to understand COVID-19 vaccine uptake among youth and young adults: Findings from a 6-month follow-up study in the United States.

Background: Vaccination is one of the most effective strategies for COVID-19 prevention. Monitoring and increasing vaccine uptake among youth and young adults (YYA) not only prevents the spread of the disease but also protects their health and well-being from serious COVID-19 illness. This study applied the health belief model (HBM) to understand the predictors of COVID-19 vaccine uptake among YYA in the United States.

The CNC-family transcription factor NRF3: A crucial therapeutic target for cancer treatment.

The CNC-bZIP family member NRF3 (NFE2L3) has received limited attention since its discovery. However, recent research has gradually revealed its biological functions, such as involvement in the regulation of cell differentiation, lipid metabolism, and malignant cell proliferation. Under physiological conditions, NRF3 is anchored to the endoplasmic reticulum within the cytoplasm and is biologically inactive.

Melatonin/P34HB Films for Active Packaging: Optimizing Flavor Preservation and Quality of Honey Peaches During Storage.

To address unpredictable flavor changes in postharvest peaches during storage, this study investigated the use of bioactive packaging with melatonin-infused P34HB films. Films with melatonin concentrations of 0%, 1%, 3%, and 5% were prepared using the extrusion casting method and applied to peach storage at room temperature. Comprehensive film properties were characterized, showing that melatonin minimally impacted the films' mechanical properties, including gas and water vapor permeability, but significantly increased film haze.

Characteristic Changes and Potential Markers of Flavour in Raw Pu-Erh Tea with Different Ageing Cycles Analysed by HPLC, HS-SPME-GC-MS, and OAV.

To investigate the flavour evolution mechanism of raw Pu-erh tea (RPT) during storage, the volatile and non-volatile compounds of RPT with different storage years (1-10 years) from the same raw material origin, manufacturer, and storage location in Wenshan Prefecture, Yunnan Province, were systematically analysed by HPLC, HS-SPME-GC-MS, and OAV. The results showed that both cluster analyses based on non-volatile and volatile compounds could classify RPT of different storage years into three ageing cycles, with key turning points in the third and eighth years of storage, which is also accompanied by the colour changing from green to orange or brown, the aroma changing from a faint scent to woody and ageing, the astringency diminishing, and the sweet and mellow increasing. Theophylline was identified as the potential marker of RPT stored 1-3 years, while (-)-catechin gallate, (-)-gallocatechin gallate, quercetin, and rutin as those for a storage of 9-10 years.

Machine Learning-Assisted Chemical Tongues Based on Dual-channel Inclusion Complexes for Rapid Identification of Nonsteroidal Anti-inflammatory Drugs in Food.

The improper application of nonsteroidal anti-inflammatory drugs (NSAIDs) presents significant health hazards via vector food contamination. A critical limitation of these traditional existing approaches is their inability to concurrently discern and distinguish among diverse NSAIDs, presenting a notable gap in the analytical capabilities within this domain. Herein, a creative dual-channel fluorescence sensor array was developed for the rapid discrimination and determination of NSAIDs, utilizing complexes of cucurbit[8]uril (CB[8]) with three distinct modified poly(ethylenimines) (PEIs) to address this challenge.

Harnessing precision nutrition to individualize weight restoration in anorexia nervosa.

Anorexia nervosa (AN) is a severe psychiatric disorder for which effective treatment and sustained recovery are contingent upon successful weight restoration, yet the efficacy of existing treatments is suboptimal. This narrative review considers the potential of precision nutrition for tailoring dietary interventions to individual characteristics to enhance acute and longer-term weight outcomes in AN. We review key factors that drive variation in nutritional requirements, including energy expenditure, fecal energy loss, the gut microbiota, genetic factors, and psychiatric comorbidities.

Exploration and Identification of Potential Biomarkers and Immune Cell Infiltration Analysis in Synovial Tissue of Rheumatoid Arthritis.

Introduction: Rheumatoid arthritis (RA) is a prevalent autoimmune disease with synovial inflammation and hyperplasia, which can potentially cause degradation of articular cartilage, ultimately causing joint deformity, and impaired function. However, exact mechanisms underlying RA remain incompletely understood. This study seeks to uncover genomic signatures and potential biomarkers of RA, along with exploring the biological processes involved.

Behavioral adaptations of cruise-feeding copepods to harmful algal blooms: Insights from the East China Sea.

Harmful algal blooms (HABs) have become a global environmental concern, significantly impacting marine life and the fishing industry. However, the tolerance and adaptive mechanisms of zooplankton to HABs remain poorly understood. This study examines the behavioral and feeding responses of the cruise-feeding copepod Centropages dorsispinatus to summer HABs in the East China Sea (ECS), focusing on interactions with the blooming diatom (Skeletonema costatum) and dinoflagellates (Prorocentrum donghaiense, Karenia mikimotoi, and Alexandrium tamarense).

Behavioral responses of copepod Calanus sinicus to bloom-forming algae Prorocentrum donghaiense and Skeletonema costatum.

Harmful algal blooms (HABs) severely threaten estuarine and coastal ecosystems in recent decades. The adverse impacts of HABs on zooplankton have been extensively studied, while the strategies employed by zooplankton to cope with HABs remain unclear. The copepod Calanus sinicus is the most dominant zooplankton species in the North Pacific Ocean during spring and early summer, coinciding with frequent blooms of the diatom Skeletonema costatum and the dinoflagellate Prorocentrum donghaiense.

Smart self-transforming nano-systems for overcoming biological barrier and enhancing tumor treatment efficacy.

Nanomedicines need to overcome multiple biological barriers in the body to reach the target area. However, traditional nanomedicines with constant physicochemical properties are not sufficient to meet the diverse and sometimes conflicting requirements during in vivo transport, making it difficult to penetrate various biological barriers, resulting in suboptimal drug delivery efficiency. Smart self-transforming nano-systems (SSTNs), capable of altering their own physicochemical properties (including size, charge, hydrophobicity, stiffness, morphology, etc.

Screening of biomarkers for diagnosing chronic kidney disease and heart failure with preserved ejection fraction through bioinformatics analysis.

Background: Previous research has established that chronic kidney disease (CKD) and heart failure with preserved ejection fraction (HFpEF) often coexist. Although we have a preliminary understanding of the potential correlation between HFpEF and CKD, the underlying pathophysiological mechanisms remain unclear. This study aimed to elucidate the molecular mechanisms associated with CKD and HFpEF through bioinformatics analysis.

Position detection of elements in off-axis three-mirror space optical system based on ResNet50 and LSTM.

Position detection of elements, especially with high-precision and high-efficiency, continue to present challenges in the off-axis three-mirror space optical system to ensure the imaging quality. To test the position of elements in an off-axis three-mirror system, a method based on ResNet50 and Long short-term memory (LSTM) is proposed in this paper. In the proposed method, point spread function (PSF) with different fields of view is extracted as a high dimensional feature vector by the ResNet50 network to achieve high efficiency.

Light signal regulates endoreduplication and tomato fruit expansion through the SlPIF1a-SlTLFP8-SlCDKB2 module.

Light serves as an energy source for cell division and expansion during fruit development. Cell expansion significantly influences fruit size and is closely linked to endoreduplication, a unique cell cycle variation characterized by DNA replication without cytokinesis. Paradoxically, under conditions of ample photosynthates, light signaling suppresses cell expansion.

Gaudichaudione H Enhances the Sensitivity of Hepatocellular Carcinoma Cells to Disulfidptosis via Regulating NRF2-SLC7A11 Signaling Pathway.

Gaudichaudione H (GH) is a naturally occurring small molecular compound derived from Garcinia oligantha Merr. (Clusiaceae), but the full pharmacological functions remain unclear. Herein, the potential of GH in disulfidptosis regulation, a novel form of programmed cell death induced by disulfide stress is explored.

Association between metabolic score for insulin resistance and stroke: a nationally representative cross-sectional study from NHANES 2007-2018.

Background: Stroke is a significant cerebrovascular disease and remains one of the leading causes of death and disability worldwide. Insulin resistance has been strongly linked to the incidence of stroke. Employing characteristics of metabolic syndrome, the Metabolic Score for Insulin Resistance (METS-IR) accurately measures insulin resistance.

The transcription factor SlLBD40 regulates seed germination by inhibiting cell wall remodeling enzymes during endosperm weakening.

Uniform seed germination is crucial for consistent seedling emergence and efficient seedling production. In this study, we identified a seed-expressed protein in tomato (Solanum lycopersicum), lateral organ boundaries domain 40 (SlLBD40), that regulates germination speed. CRISPR/Cas9-generated SlLBD40 knockout mutants exhibited faster germination due to enhanced seed imbibition, independent of the seed coat.

Genome-Wide Characterization and Analysis of the Gene Family in .

(L.) Britt. is a traditional medicinal and culinary plant with a long history of cultivation and significant potential for broader utilization.

Transcriptome-wide association identifies as a regulator of mitophagy in non-syndromic cleft lip with or without palate.

This study investigated pathogenic genes associated with non-syndromic cleft lip with or without cleft palate (NSCL/P) through transcriptome-wide association studies (TWAS). By integrating expression quantitative trait loci (eQTL) data with genome-wide association study (GWAS) data, we identified key susceptibility genes, including . Notably, the variant rs12884809 G>A was associated with an increased risk of NSCL/P by enhancing the binding of the transcription factor ELK1 to the promoter, thereby activating its expression.

The associations of dietary manganese, iron, copper, zinc, selenium and magnesium with cognitive outcomes in Chinese adults: a cross sectional study in Shanghai.

Introduction: The role of individual nutrients including vitamins and minerals in cognitive function gained increasing attention in recent years. With regard to the association between dietary minerals and cognitive function, the results of human studies are inconclusive. The objective of this study was to explore the association between mineral intake and cognitive function using the data from Shanghai Health and Nutrition Survey (SHNS) in 2018.

Evaluation of imputation performance of multiple reference panels in a Pakistani population.

Genotype imputation is crucial for genome-wide association studies (GWASs), but reference panels and existing benchmarking studies prioritize European individuals. Consequently, it is unclear which publicly available reference panel should be used for Pakistani individuals, and whether ancestry composition or sample size of the panel matters more for imputation accuracy. Our study compared different reference panels to impute genotype data in 1,814 Pakistani individuals, finding the best performance balancing accuracy and coverage with meta-imputation with TOPMed and the expanded 1000 Genomes (ex1KG) reference.

Exposure to leachates of plastic food containers disturbs glucose and lipid metabolism: Insights from models mimicking real-exposure scenarios.

The increasing use of plastic food containers, particularly for pre-cooked meals and takeout services, has raised concerns regarding the potential health risks associated with plastic leachates. This study investigated the impact of leachates from heat-treated polypropylene (PP) plastic food containers on glucose and lipid metabolism using both in vitro and in vivo models. AML12 hepatocytes exposed to leachates from three different PP plastic containers exhibited significant disruptions in the homeostasis of lipid and glucose metabolism, evidenced by increased intracellular lipid content and altered gene expression related to lipogenesis, lipid uptake, lipolysis, and fatty acid β-oxidation.

Deconstructing the neural circuit underlying social hierarchy in mice.

Social competition determines hierarchical social status, which profoundly influences animals' behavior and health. The dorsomedial prefrontal cortex (dmPFC) plays a fundamental role in regulating social competitions, but it was unclear how the dmPFC orchestrates win- and lose-related behaviors through its downstream neural circuits. Here, through whole-brain c-Fos mapping, fiber photometry, and optogenetics- or chemogenetics-based manipulations, we identified anatomically segregated win- and lose-related neural pathways downstream of the dmPFC in mice.

BMI Interacts with the Genome to Regulate Gene Expression Globally, with Emphasis in the Brain and Gut.

Genome-wide association studies identify common genomic variants associated with disease across a population. Individual environmental effects are often not included, despite evidence that environment mediates genomic regulation of higher order biology. Body mass index (BMI) is associated with complex disorders across clinical specialties, yet has not been modeled as a genomic environment.

Radiomics Harmonization in Ultrasound Images for Cervical Cancer Lymph Node Metastasis Prediction Using Cycle-GAN.

Ultrasound (US) based radiomics is susceptible to variations in scanners, sonographers. To retrospectively investigate the feasibility of an adapted cycle generative adversarial networks (CycleGAN) in the style transfer to improve US based radiomics in the prediction of lymph node metastasis (LNM) with images from multiple scanners for patients with early cervical cancer (ECC). The CycleGAN was firstly trained to transfer paired US phantom images from one US device to another one; the model was then further trained and tested with clinical US images of ECC by transferring images from four US devices to one specific device; finally, the adapted model was tested with its effects on the radiomics feature harmonization and accuracy of LNM prediction in US based radiomics for ECC patients.