Medicine
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While existing research has established the influence of digital technology use, flow, and learning engagement on students' subjective well-being, there remains a gap in understanding the interrelationships among these factors and the serial mediating role of flow and learning engagement in the relationship between digital technology use and adolescents' subjective well-being. This study examined the potential indirect roles of flow and learning engagement in the association between digital technology use and adolescents' subjective well-being. A paper-based survey was conducted among 1289 adolescents (M = 16.33, SD = 1.688) in Shandong Province. ⋯ The results are as follows: (1) digital technology use has a significant and positive effect on adolescents' subjective well-being; (2) digital technology use significantly and positively affects adolescents' subjective well-being through flow; (3) digital technology use significantly and positively affects adolescents' subjective well-being through learning engagement; (4) digital technology use significantly and positively affects the subjective well-being of adolescents through both flow and learning engagement. This study underscores the benefits of digital technology in boosting adolescents' well-being and identifies flow and learning engagement as key mediators. Our findings equip educators and policymakers with insights to craft interventions that optimize digital technology's role in fostering adolescent development, presenting a fresh view on the intricate dynamics linking digital interaction with psychological health.
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Hashimoto thyroiditis (HT) is chronic lymphocytic thyroiditis. Cytokines and chemokines such as tumor necrosis factor-alpha, interferon-gamma, and interleukin-1 beta originating from immune cells are involved in the etiopathogenesis of HT. Spexin (SPX) is a recently identified novel peptide hormone consisting of 14 amino acids and has been demonstrated in follicle epithelial cells in thyroid tissue. ⋯ In our study, we evaluated SPX levels in HT patients, which has never been done before in the literature. We found high SPX levels in HT patients with high antibody levels. Multicenter studies with high case series, especially at the tissue level, are needed to fully explain the role of SPX in HT immunoetiopathogenesis and to understand immune-checkpoint pathways more clearly.
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The objective of this study is to formulate and implement graded biological models pertaining to binocular visual perception function with the use of computer algorithms. We aim to quantitatively assess the location, severity, and degree of impairment in binocular visual perception among patients who have suffered stroke, thereby providing valuable insights into the repercussions of cerebral tissue damage on the visual system. To overcome the shortcomings of previous instruments used to assess binocular function in terms of stereoscopic effects and the challenges posed by physiological and psychological interference during examinations, this study optimized its approach by integrating polarized stereovision technology with computer graphic modeling techniques. ⋯ Graded biological models, formulated through computer algorithms, provide a systematic framework for the comprehensive evaluation and quantification of these impairments. The comprehension of the nature and extent of visual impairments observed in patients with stroke establishes a basis for the development of personalized visual perception learning methodologies. Based on such tailored approaches, we aim to facilitate the recovery of impaired visual function, thereby contributing to the broader objective of neural system rehabilitation.
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Aggressive clear cell renal cell carcinoma (ccRCC) has a bad prognosis. We seek new ccRCC biomarkers for diagnosis and treatment. We used exoRBase and The Cancer Genome Atlas Database to compare DEmRNAs, DEmiRNAs, DElncRNAs, and DEcircRNAs in ccRCC and normal renal tissues. ⋯ We built the first competing endogenous RNA regulation network of circRNA-lncRNA-miRNA-mRNA and found that it substantially correlates with ccRCC prognosis. We unveiled ccRCC's posttranscriptional regulation mechanism in greater detail. Our findings identified novel biomarkers for ccRCC diagnosis, therapy, and prognosis.
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It remains unclear what causes esophageal cancer (EC), but blood metabolites have been connected to it. Our study performed a Mendelian randomization (MR) analysis to assess the causality from genetically proxied 1400 blood metabolites to EC level. A two-sample MR analysis was employed to evaluate the causal relationship between 1400 blood metabolites and EC. ⋯ Docosatrienoate (22:3n3) was found to be causally associated with a decreased risk of EC, as evidenced by the EC GWAS data (from Jiang et al) (odds ratio [OR] = 0.620, 95% confidence interval [CI] = 0.390-0.986, P = .044) and the EC GWAS data (from FINNGEN) (OR = 0.77, 95% CI = 0.6-0.99, P = .042), these results were consistent across both data sets. Another overlapping metabolite, glycosyl-N-(2-hydroxyneuramoyl)-sphingosine, was associated with the risk of ES, with EC GWAS data (from Jiang L et al) (OR = 1.536, 95% CI = 1.000-2.360, P = .049), while EC GWAS data (from FINNGEN) (OR = 0.733, 95% CI = 0.574-0.937, P = .013), the 2 data had opposite conclusions. The findings of this study indicate a potential association between lipid metabolites (Docosatrienoate (22:3n3) and glycosyl-N-(2-hydroxynervonoyl)-sphingosine (d18:1/24:1 (2OH))) and the risk of esophageal carcinogenesis.