Expressed emotion and wellbeing in South Asian heritage families living in the UK

The primary aim of this paper was to understand expressed emotion (EE) and its relationship to wellbeing in South Asians (SAs) living in the UK. A total of 529 participants of South Asian heritage were recruited from the UK and completed an online survey consisting of the family questionnaire, the level of expressed emotion scale (LEE), warmth measure, the hospital anxiety and depression scale. Components of EE and wellbeing were investigated using network analysis. Overall, the participants were classified as low EE for criticism, but high for emotional overinvolvement. They scored relatively high on the warmth scale. LEE scores were in the middle range. The network analysis revealed unique associations between EE subscales and symptoms of depression and anxiety, and highlighted positive aspects of EE. The network analysis also highlighted differences in EE between parents and partner. The findings provide an overview of the interactions and influence of EE variables within this population. Future research should focus on the differences between SA ethnicities and religions; differentiating between intrusive and non-intrusive involvement may help further explain part of the variance between variables; exploring first and second-generation immigrants would help discover the impact of acculturation and intergenerational trauma on EE

Enhanced expression of immune checkpoint receptors during SARS-CoV-2 viral infection

The immune system is tightly regulated by the activity of stimulatory and inhibitory immune receptors. This immune homeostasis is usually disturbed during chronic viral infection. Using publicly available transcriptomic datasets, we conducted in silico analyses to evaluate the expression pattern of 38 selected immune inhibitory receptors (IRs) associated with different myeloid and lymphoid immune cells during coronavirus disease 2019 (COVID-19) infection. Our analyses revealed a pattern of overall upregulation of IR mRNA during severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. A large number of IRs expressed on both lymphoid and myeloid cells were upregulated in nasopharyngeal swabs (NPSs), while lymphoid-associated IRs were specifically upregulated in autopsies, reflecting severe, terminal stage COVID-19 disease. Eight genes (BTLA, LAG3, FCGR2B, PDCD1, CEACAM1, CTLA4, CD72, and SIGLEC7), shared by NPSs and autopsies, were more expressed in autopsies and were directly correlated with viral levels. Single-cell data from blood and bronchoalveolar samples also reflected the observed association between IR upregulation and disease severity. Moreover, compared to SARS-CoV-1, influenza, and respiratory syncytial virus infections, the number and intensities of upregulated IRs were higher in SARS-CoV-2 infections. In conclusion, the immunopathology and severity of COVID-19 could be attributed to dysregulation of different immune inhibitors. Targeting one or more of these immune inhibitors could represent an effective therapeutic approach for the treatment of COVID-19 early and late immune dysregulations

Psychometric Evaluation of a Persian Version of the Cardiac Depression Scale in Iranian Patients with Acute Myocardial Infarction

This is the author accepted manuscript. The final version is available from Springer Publishing Company via the DOI in this recordPurpose: The aim of this study was to validate a Persian version of the Cardiac Depression Scale (CDS) in Iranian patients with Acute Myocardial Infarction (AMI). This was a methodological study. Methods: A demographic survey and the CDS were used for data collection. The CDS was forward translated from English into Persian and back translated to English. Validity was assessed using face, content and construct validity. Results: The construct validity of the scale showed two factors with eigenvalues greater than one. The Cronbach’s alpha, Theta, McDonald, and construct reliability were greater than .70. Convergent and discriminant validity of the constructs were fulfilled. Conclusions: Given the importance of mental health in risk prevention in AMI patients, the Persian CDS is a useful screening tool for detection of depression in this patient cohort

On the origin of glioma

Glioma is the most frequent primary brain tumor of adults that has a presumably glial origin. Although our knowledge regarding molecular mechanisms and signaling pathways involved in gliomagenesis has increased immensely during the past decade, high-grade glioma remains a lethal disease with dismal prognosis. The failure of current therapies has to a large extent been ascribed the functional heterogeneity of glioma cells. One reason for this heterogeneity is most certainly the large number of variations in genetic alterations that can be found in high-grade gliomas. Another factor that may influence glioma heterogeneity could be the cell type from which the glioma is initiated. The cell of origin for glioma is still undefined, and additional knowledge about this issue may prove critical for a more complete understanding of glioma biology. Based on information from patients, developmental biology, and experimental glioma models, the most putative target cells include astrocytes, neural stem cells, and oligodendrocyte precursor cells, which are all discussed in more detail in this article. Animal modeling of glioma suggests that these three cell types have the capability to be the origin of glioma, and we have reason to believe that, depending on the initiating cell type, prognosis and response to therapy may be significantly different. Thus, it is essential to explore further the role of cellular origin in glioma

Inflammatory Gene Regulatory Networks in Amnion Cells Following Cytokine Stimulation: Translational Systems Approach to Modeling Human Parturition

A majority of the studies examining the molecular regulation of human labor have been conducted using single gene approaches. While the technology to produce multi-dimensional datasets is readily available, the means for facile analysis of such data are limited. The objective of this study was to develop a systems approach to infer regulatory mechanisms governing global gene expression in cytokine-challenged cells in vitro, and to apply these methods to predict gene regulatory networks (GRNs) in intrauterine tissues during term parturition. To this end, microarray analysis was applied to human amnion mesenchymal cells (AMCs) stimulated with interleukin-1β, and differentially expressed transcripts were subjected to hierarchical clustering, temporal expression profiling, and motif enrichment analysis, from which a GRN was constructed. These methods were then applied to fetal membrane specimens collected in the absence or presence of spontaneous term labor. Analysis of cytokine-responsive genes in AMCs revealed a sterile immune response signature, with promoters enriched in response elements for several inflammation-associated transcription factors. In comparison to the fetal membrane dataset, there were 34 genes commonly upregulated, many of which were part of an acute inflammation gene expression signature. Binding motifs for nuclear factor-κB were prominent in the gene interaction and regulatory networks for both datasets; however, we found little evidence to support the utilization of pathogen-associated molecular pattern (PAMP) signaling. The tissue specimens were also enriched for transcripts governed by hypoxia-inducible factor. The approach presented here provides an uncomplicated means to infer global relationships among gene clusters involved in cellular responses to labor-associated signals