Background: Highly pathogenic avian influenza virus (HPAIV) is considered a global threat to both human health and the poultry industry. MicroRNAs (miRNA) can modulate the immune system by affecting gene expression patterns in HPAIV-infected chickens. Objectives: To gain further insights into the role of miRNAs in immune responses against H5N1 infection, as well as the development of strategies for breeding disease-resistant chickens, we characterized miRNA expression patterns in tracheal tissues from H5N1-infected Ri chickens. Methods: miRNAs expression was analyzed from two H5N1-infected Ri chicken lines using small RNA sequencing. The target genes of differentially expressed (DE) miRNAs were predicted using miRDB. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis were then conducted. Furthermore, using quantitative real-time polymerase chain reaction, we validated the expression levels of DE miRNAs (miR-22-3p, miR-146b-3p, miR-27b-3p, miR-128-3p, miR-2188-5p, miR-451, miR-205a, miR-203a, miR-21-3p, and miR-200a-3p) from all comparisons and their immune-related target genes. Results: A total of 53 miRNAs were significantly expressed in the infection samples of the resistant compared to the susceptible line. Network analyses between the DE miRNAs and target genes revealed that DE miRNAs may regulate the expression of target genes involved in the transforming growth factor-beta, mitogen-activated protein kinase, and Toll-like receptor signaling pathways, all of which are related to influenza A virus progression. Conclusions Collectively, our results provided novel insights into the miRNA expression patterns of tracheal tissues from H5N1-infected Ri chickens. More importantly, our findings offer insights into the relationship between miRNA and immune-related target genes and the role of miRNA in HPAIV infections in chickens.

Background: and Purpose Early- and late-onset Alzheimer’s disease (EOAD and LOAD, respectively) share the same neuropathological hallmarks of amyloid and neurofibrillary tangles but have distinct cognitive features. We compared structural brain connectivity between the EOAD and LOAD groups using structural network efficiency and evaluated the association of structural network efficiency with the cognitive profile and pathological markers of Alzheimer’s disease (AD). Methods: The structural brain connectivity networks of 80 AD patients (47 with EOAD and 33 with LOAD) and 57 healthy controls were reconstructed using diffusion-tensor imaging.Graph-theoretic indices were calculated and intergroup differences were evaluated. Correlations between network parameters and neuropsychological test results were analyzed. The correlations of the amyloid and tau burdens with network parameters were evaluated for the patients and controls. Results: Compared with the age-matched control group, the EOAD patients had increased global path length and decreased global efficiency, averaged local efficiency, and averaged clustering coefficient. In contrast, no significant differences were found in the LOAD patients. Locally, the EOAD patients showed decreases in local efficiency and the clustering coefficient over a wide area compared with the control group, whereas LOAD patients showed such decreases only within a limited area. Changes in network parameters were significantly correlated with multiple cognitive domains in EOAD patients, but only with Clinical Dementia Rating Sum-of-Boxes scores in LOAD patients. Finally, the tau burden was correlated with changes in network parameters in AD signature areas in both patient groups, while there was no correlation with the amyloid burden. Conclusions The impairment of structural network efficiency and its effects on cognition may differ between EOAD and LOAD.

This study examined the relationships among personality traits, coping efficacy, and academic stress in medical and non-medical students in South Korea, and investigated the mediating effect of coping efficacy in the relationship between personality traits and academic stress. The study group comprised 210 medical students and 175 non-medical students. They were asked to rate their personality traits, coping efficacy, and academic stress. The data were analyzed using IBM SPSS ver. 26.0 (IBM Corp., Armonk, NY, USA) and AMOS ver. 26.0 (IBM Corp.). Medical students scored higher for examination stress and lower for extroversion than non-medical students. In both groups, extroversion and conscientiousness positively affected coping efficacy, while neuroticism influenced it negatively. Neuroticism directly influenced all types of academic stress in both groups, while extroversion and conscientiousness only had direct effects on examination stress among medical students. Coping efficacy mediated the associations between personality traits and academic stress, except for the relationship between neuroticism and grade stress among medical students. The study indicates that coping efficacy had a significant effect on relieving academic stress among students with higher scores for extroversion and conscientiousness. Efforts should be made to decrease neuroticism to lower academic stress, as the relationship between neuroticism and academic stress is not directly influenced by coping efficacy. The implications of these results are discussed regarding a consultation system for students, especially those in medical school.

This study examined the relationships among personality traits, coping efficacy, and academic stress in medical and non-medical students in South Korea, and investigated the mediating effect of coping efficacy in the relationship between personality traits and academic stress. The study group comprised 210 medical students and 175 non-medical students. They were asked to rate their personality traits, coping efficacy, and academic stress. The data were analyzed using IBM SPSS ver. 26.0 (IBM Corp., Armonk, NY, USA) and AMOS ver. 26.0 (IBM Corp.). Medical students scored higher for examination stress and lower for extroversion than non-medical students. In both groups, extroversion and conscientiousness positively affected coping efficacy, while neuroticism influenced it negatively. Neuroticism directly influenced all types of academic stress in both groups, while extroversion and conscientiousness only had direct effects on examination stress among medical students. Coping efficacy mediated the associations between personality traits and academic stress, except for the relationship between neuroticism and grade stress among medical students. The study indicates that coping efficacy had a significant effect on relieving academic stress among students with higher scores for extroversion and conscientiousness. Efforts should be made to decrease neuroticism to lower academic stress, as the relationship between neuroticism and academic stress is not directly influenced by coping efficacy. The implications of these results are discussed regarding a consultation system for students, especially those in medical school.

Background: Highly pathogenic avian influenza viruses (HPAIVs) is an extremely contagious and high mortality rates in chickens resulting in substantial economic impact on the poultry sector. Therefore, it is necessary to elucidate the pathogenic mechanism of HPAIV for infection control. Objective: Gene set enrichment analysis (GSEA) can effectively avoid the limitations of subjective screening for differential gene expression. Therefore, we performed GSEA to compare HPAI-infected resistant and susceptible Ri chicken lines. Methods: The Ri chickens Mx(A)/BF2(B21) were chosen as resistant, and the chickens Mx(G)/ BF2(B13) were selected as susceptible by genotyping the Mx and BF2 genes. The tracheal tissues of HPAIV H5N1 infected chickens were collected for RNA sequencing followed by GSEA analysis to define gene subsets to elucidate the sequencing results. Results: We identified four differentially expressed pathways, which were immune-related pathways with a total of 78 genes. The expression levels of cytokines (IL-1β, IL-6, IL-12), chemokines (CCL4 and CCL5), type interferons and their receptors (IFN-β, IFNAR1, IFNAR2, and IFNGR1), Jak-STAT signaling pathway genes (STAT1, STAT2, and JAK1), MHC class I and II and their co-stimulatory molecules (CD80, CD86, CD40, DMB2, BLB2, and B2M), and interferon stimulated genes (EIF2AK2 and EIF2AK1) in resistant chickens were higher than those in susceptible chickens. Conclusions Resistant Ri chickens exhibit a stronger antiviral response to HPAIV H5N1 compared with susceptible chickens. Our findings provide insights into the immune responses of genetically disparate chickens against HPAIV.