Antiviral activity of the mineralocorticoid receptor NR3C2 against Herpes simplex virus Type 1 (HSV-1) infection

Validation of prognostic signature and exploring the immune-related mechanisms for NR3C2 in clear cell renal cell carcinoma

Background

Previous studies have verified that NR3C2 inhibits tumor cell proliferation, invasion, and migration. However, there is a lack of independent validation cohorts for verifying the prognostic value of NR3C2 in clear cell renal cell carcinoma (ccRCC), and its underlying antitumor mechanisms remain unclear.

Methods

We first obtained dates from the online public databases. Then R language or online public database was used for bioinformatics analyses to evaluate the effect of NR3C2 on the diagnosis, prognosis, and immune microenvironment in ccRCC patients. Finally, the results were verified by our own cohort and immunofluorescence (IF) staining.

Results

The present study yielded significant findings regarding the expression of NR3C2 in ccRCC compared to control tissues. Specifically, NR3C2 expression was found to be significantly reduced in ccRCC and was observed to be correlated with tumor stage. Additionally, patients with lower NR3C2 expression exhibited shorter overall survival (OS), disease-specific survival, and progress-free survival. Univariable and multivariate Cox analyses further identified NR3C2 expression as an independent prognostic factor for ccRCC. Receiver operating characteristic (ROC) analysis demonstrated that NR3C2 was a highly accurate marker for distinguishing tumors from normal kidney tissue, with an area under the curve (AUC) of 0.959. Further analyses using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis suggested that NR3C2 may play a role in various biological processes and pathways related to tumor immune microenvironment (TIM). The expression of NR3C2 exhibited significant positive correlations with the levels of infiltration of CD4+ and CD8+ T cells, as well as an association with immune checkpoints.

Conclusions

Our exploratory study suggested that NR3C2 could serve as a novel biomarker for predicting survival in patients with ccRCC and the molecular mechanisms owe partly to immune cell infiltration.

Network regression analysis in transcriptome-wide association studies

BACKGROUND

Transcriptome-wide association studies (TWASs) have shown great promise in interpreting the findings from genome-wide association studies (GWASs) and exploring the disease mechanisms, by integrating GWAS and eQTL mapping studies. Almost all TWAS methods only focus on one gene at a time, with exception of only two published multiple-gene methods nevertheless failing to account for the inter-dependence as well as the network structure among multiple genes, which may lead to power loss in TWAS analysis as complex disease often owe to multiple genes that interact with each other as a biological network. We therefore developed a Network Regression method in a two-stage TWAS framework (NeRiT) to detect whether a given network is associated with the traits of interest. NeRiT adopts the flexible Bayesian Dirichlet process regression to obtain the gene expression prediction weights in the first stage, uses pointwise mutual information to represent the general between-node correlation in the second stage and can effectively take the network structure among different gene nodes into account.

RESULTS

Comprehensive and realistic simulations indicated NeRiT had calibrated type I error control for testing both the node effect and edge effect, and yields higher power than the existed methods, especially in testing the edge effect. The results were consistent regardless of the GWAS sample size, the gene expression prediction model in the first step of TWAS, the network structure as well as the correlation pattern among different gene nodes. Real data applications through analyzing systolic blood pressure and diastolic blood pressure from UK Biobank showed that NeRiT can simultaneously identify the trait-related nodes as well as the trait-related edges.

CONCLUSIONS

NeRiT is a powerful and efficient network regression method in TWAS.

Cellular Proteo-Transcriptomic Changes in the Immediate Early-Phase of Lentiviral Transduction

Lentivirus-based vectors derived from human immunodeficiency viruses type 1 and 2 (HIV-1 and 2) are widely used tools in research and may also be utilized in clinical settings. Like their parental virions, they are known to depend on the cellular machinery for successful gene delivery and integration. While most of the studies on cellular proteomic and transcriptomic changes have focused on the late phase of the transduction, studies of those changes in early time-points, especially in the case of HIV-2 based vectors, are widely lacking. Using second generation HIV-1 and 2 vesicular stomatitis virus G protein (VSV-G) pseudotyped lentiviral vectors, we transduced HEK-293T human embryonic kidney cells and carried out transcriptomic profiling at 0 and 2 h time points, with accompanying proteomic analysis at 2 h following transduction. Significant variations were observed in gene expression profile between HIV-1 and HIV-2 transduced samples. Thrombospondin 1 (THBS1), collagens (COL1A2, COL3A1), and eukaryotic translation factors (EIF3CL) in addition to various genes coding for long non-coding RNA (lncRNA) were significantly upregulated 2 h after HIV-2 transduction compared to HIV-1. Label-free quantification mass spectrometry (MS) indicated that seven proteins involved in RNA binding, mRNA transport, and chaperoning were significantly downregulated. The identification of cellular protein targets of lentiviral vectors and their effect on the cellular transcriptome will undoubtedly shed more light on their complex life cycle and may be utilized against infection by their parental lentiviruses. Furthermore, characterizing the early phase of HIV-2 infection may aid in the understanding of its pathomechanism and long incubation period.

Cortisol hypersecretion and the risk of Alzheimer's disease: A systematic review and meta-analysis

BACKGROUND

Morning cortisol levels have been reported to be elevated among patients with Alzheimer's disease (AD); yet no meta-analysis has been conducted to confirm the existence and magnitude of this association. It also remains unclear whether hypercortisolism is a risk factor for AD.

METHODS

PubMed, EMBASE, and PsycINFO were systematically searched for eligible studies. Cross-sectional data were pooled using random-effects meta-analyses; the differences in morning cortisol levels between patients and cognitively normal controls were quantified. Longitudinal studies were qualitatively synthesised due to methodological heterogeneity.

RESULTS

17,245 participants from 57 cross-sectional studies and 19 prospective cohort studies were included. Compared with cognitively normal controls, AD patients had moderately increased morning cortisol in blood (g = 0.422, P < 0.001; I² = 48.5 %), saliva (g = 0.540, P < 0.001; I² = 13.6 %), and cerebrospinal fluids (g = 0.565, P = 0.003; I² = 75.3 %). A moderate elevation of morning cortisol was also detected in cerebrospinal fluids from patients with mild cognitive impairment (MCI) versus controls (g = 0.309, P = 0.001; I² = 0.0 %). Cohort studies suggested that higher morning cortisol may accelerate cognitive decline in MCI or mild AD patients, but the results in cognitively healthy adults were inconsistent.

CONCLUSIONS

Morning cortisol was confirmed to be moderately elevated in AD patients and may have diagnostic and prognostic values for AD.

Network analysis, sequence and structure dynamics of key proteins of coronavirus and human host, and molecular docking of selected phytochemicals of nine medicinal plants

The novel coronavirus of 2019 (nCoV-19) has become a pandemic, affecting over 205 nations with over 7,410,000 confirmed cases which has resulted to over 418,000 deaths worldwide. This study aimed to identify potential therapeutic compounds and phytochemicals of medicinal plants that have potential to modulate the expression network of genes that are involve in SARS-CoV-2 pathology in human host and to understand the dynamics key proteins involved in the virus-host interactions. The method used include gene network analysis, molecular docking, and sequence and structure dynamics simulations. The results identified DNA-dependent protein kinase (DNA-PK) and Protein kinase CK2 as key players in SARS-CoV-2 lifecycle. Among the predicted drugs compounds, clemizole, monorden, spironolactone and tanespimycin showed high binding energies; among the studied repurposing compounds, remdesivir, simeprevir and valinomycin showed high binding energies; among the predicted acidic compounds, acetylursolic acid and hardwickiic acid gave high binding energies; while among the studied anthraquinones and glycosides compounds, ellagitannin and friedelanone showed high binding energies against 3-Chymotrypsin-like protease (3CL^pro), Papain-like protease (PL^pro), helicase (nsp13), RNA-dependent RNA polymerase (nsp12), 2'-O-ribose methyltransferase (nsp16) of SARS-CoV-2 and DNA-PK and CK2alpha in human. The order of affinity for CoV proteins is 5Y3E > 6NUS > 6JYT > 2XYR > 3VB6. Finally, medicinal plants with phytochemicals such as caffeine, ellagic acid, quercetin and their derivatives could possibly remediate COVID-19.Communicated by Ramaswamy H. Sarma.

miR-454 performs tumor-promoting effects in oral squamous cell carcinoma via reducing NR3C2

BACKGROUND

Aberrant miRNAs expression regulates the occurrence and progression of a variety of cancers, including oral squamous cell carcinoma (OSCC). This study aims to illustrate the potential effects of miR-454/nuclear receptor subfamily 3 group C member 2 (NR3C2) on the biological behaviors of OSCC cells.

METHODS

GEO database was applied to detect and analyze the expression of miR-545 and NR3C2 in OSCC tissues. Two OSCC cell lines including CAL27 and Tca-83 were utilized to determine the function of miR-454/NR3C2 on OSCC cells biological behaviors. miR-454 and NR3C2 expressions were regulated by miR-454 mimic/inhibitor and pcDNA3.1-NR3C2/si-NR3C2, respectively. Cells biological behaviors were evaluated by cell proliferation, colony formation, and transwell assays.

RESULTS

The data collected from GEO database indicated that miR-454 expression was upregulated in OSCC tissues; however, the expression of NR3C2 assumed a downward trend. In vitro experiments, the expression trend of miR-454 in OSCC cell lines was consistent with that of the trend in tissues, and the OSCC cells growth and movement abilities significantly decreased after miR-454 depletion. Through co-transfection experiments, we explored that the abilities of OSCC cell proliferation, colony formation, invasion, and migration obviously reduced after miR-454 depletion, but these phenomena were mitigated to some extent after NR3C2 silencing.

CONCLUSION

The study illustrates that miR-454 acts as an active regulator to facilitate OSCC cells growth, colony formation, invasion, and migration by targeting NR3C2, which may afford a novel perspective and possibility for the targeted treatment of OSCC.

Redefining the perioperative stress response: a narrative review

The systemic stress response triggered by surgical trauma is characterised by sterile inflammation preceding metabolic and neuroendocrine dysregulation. However, the relevance of the classically described 'stress response' is now highly questionable in an era where profound physiological deconditioning is common in older, frail surgical patients. Commonly used assessment techniques do not accurately reflect hypothalamic-pituitary-adrenal axis integrity after major surgery. Clinical interpretation of plasma concentrations of cortisol, the prototypical stress hormone, is rarely accurate, because of study heterogeneity, the inherently dynamic characteristics of cortisol production, and assay variability. Before surgery, chronic psychosocial stress and common cardiorespiratory co-morbidities are clinically relevant modifiers of neuroendocrine activation to acute stress/inflammation. The frequent development of multi-morbidity after major surgery further clouds the compartmentalised, discrete model of neuroendocrine activation after initial tissue injury. Starvation, impaired mobility, and sepsis after surgery generate distinct neuroendocrine profiles that challenge the conventional model of neuroendocrine activation. Basic science studies suggest that high circulating levels of cortisol may directly cause organ injury. Conversely, randomised controlled clinical trials investigating glucocorticoid supplementation have delivered contrasting results, with some suggesting a protective effect in the perioperative period. Here, we consider many of the confounding factors that have emerged to challenge the conventional model of the surgical stress response, and suggest that a more nuanced understanding of changes in hypothalamic-pituitary-adrenal axis physiology is warranted to advance perioperative medicine. Re-examining the perioperative stress response presents opportunities for improving outcomes through enhancing the understanding of the neuroendocrine aspects of preparation for and recovery from surgery.