Abnormal Degree Centrality Associated With Cognitive Dysfunctions in Early Bipolar Disorder

Delayed diagnosis of bipolar disorder (BD) is common. However, diagnostic validity may be enhanced using reliable neurobiological markers for BD. Degree centrality (DC) is one such potential marker that enables researchers to visualize neuronal network abnormalities in the early stages of some neuropsychiatric disorders. In the present study, we measured resting-state DC abnormalities and cognitive deficits in order to identify early neurobiological markers for BD. We recruited 23 patients with BD who had recently experienced manic episodes (duration of illness <2 years) and 46 matched healthy controls. Our findings indicated that patients with BD exhibited DC abnormalities in frontal areas, temporal areas, the right postcentral gyrus, and the posterior lobe of the cerebellum. Moreover, correlation analysis revealed that psychomotor speed indicators were associated with DC in the superior temporal and inferior temporal gyri, while attention indicators were associated with DC in the inferior temporal gyrus, in patients with early BD. Our findings suggest that DC abnormalities in neural emotion regulation circuits are present in patients with early BD, and that correlations between attention/psychomotor speed deficits and temporal DC abnormalities may represent early markers of BD

Reference Genes Selection of Gymnosporangium yamadae during the Interaction with Apple Leaves

Apple rust disease caused by Gymnosporangium yamadae is the one of the major threats to the development of the apple industry in China, but the pathogenic molecular mechanism of the disease remains unclear. It is imperative to screen out appropriate reference genes during the interaction between G. yamadae and apple leaves to analyze the gene expression patterns during the pathogenesis of G. yamadae. ACT, EF1, EF2, GAPDH, 40S, 60S, α-TUB, β-TUB and UBCE3 were selected as candidate reference genes based on the transcriptomic dataset of G. yamadae. The expression levels were tested by real-time quantitative PCR during time-course infection of apple leaves and the expression stabilities were evaluated by △Ct method as well as by three software (NormFinder, geNorm and BestKeeper) and one web-based analysis software (RefFinder). The expression stability of the candidate reference genes was further validated by using the effector candidate gene Cluster-3395.48660 as the target gene in RT-qPCR. According to the results by △Ct and BestKeeper, 40S, EF2 and EF1 were the most stable reference genes, while EF1, EF2 and GAPDH were the most stable reference genes based on the NormFinder analysis result. The geNorm recommended the most stable genes EF1, EF2 and α-TUB as reference genes. Comprehensive analysis results of the RefFinder indicated EF1, EF2 and α-TUB were the most suitable genes. Based on these results, EF1, EF2 and α-TUB were considered as reference genes for analyzing the gene expression profiles of Cluster-3395.48660 in different infection stages, and the results were consistent with the transcriptome data. All the results suggest that the combination of EF1, EF2 and α-TUB proved to be acceptable reference genes during the interaction between G. yamadae and apple leaves

Understanding the Status of Reemployment of Elderly Talents in Digital Society: Evidence from Aged Job Search Website in China

Retirees reemployment has been an effective way to fight the severe aging population and shortage of talented workers in many countries. However, the current situation of willingness and behaviors of reemployment for elderly talents, and the enterprises’ hiring requirements for the elderly are still unclear. In order to address this question, a total of 1045 pieces of occupational position and 70636 pieces of elderly talents’ information were collected from Retiree Talent Website by self-designed crawler. Based on prior studies and Holland’s person-environment fit theory, content analysis, data mining, and statistical methods were used to explore the collected data.The results of descriptive analysis indicate that the reemployment demand of the elderly cannot be satisfied in most areas, especially in coastal areas; the number of jobs in labor-intensive industries and knowledge intensive industries is the largest, which is consistent with the industry that most elderly talents expect to engage in; enterprises tend to provide realistic positions and enterprising positions in recruitment, which is also consistent with the expectations of elderly talents. The results of exploratory analysis show that requirements of hard skills and soft skills in enterprises’ recruitment are tightly associated with work experience; different types of industries and jobs have different qualification requirements for the elderly. Based on the results of data analysis, this study provides insights into the current supply and demand situation of elderly reemployment market in the digital society, and proposes corresponding policy recommendations for relevant departments