Immune Regulatory Circular RNAs, circRasGEF1B and circHIPK3, are Upregulated in Peripheral Blood Mononuclear Cells of COVID-19 Patients.

COVID-19 is one of the worst pandemics worldwide, and its diagnosis and treatment are of great importance. Recent evidence has shown that circular RNA (circRNA deregulation is involved in different infectious diseases. In the present study, we tried to investigate the expression of cirRNAs RasGEF1B (hsa_circ_0127052), HIPK3 (hsa_circ_100783), and GATAD2A (hsa_circ_0050236) in COVID-19 patients.

Evaluation of the Expression of Infection-Related Long Noncoding RNAs among COVID-19 Patients: A Case-Control Study.

Background And Aims: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a worldwide pandemic, activates signaling cascades and leads to innate immune responses and secretion of multiple chemokines and cytokines. Long noncoding RNAs (lncRNAs) have a crucial role in inflammatory pathways. Through our search on the PubMed database, we discovered that existing research has primarily focused on examining the regulatory impacts of five lncRNAs in the context of viral infections.

Exploring senior managers' experiences preparedness to respond to COVID-19: a qualitative study in Iran.

Background: Epidemics caused by emerging respiratory viruses are challenging for the health system of most societies, and preparedness of the health system in responding to such epidemics is important. Therefore, the aim of this study was identifying different fields and key issues of the senior managers' experiences preparedness to respond to the COVID-19 epidemic from the Iranian senior managers' point of view.

Methods: This is a qualitative descriptive study.

An Improved Optimization Model to Predict the MOR of Glulam Prepared by UF-Oxidized Starch Adhesive: A Hybrid Artificial Neural Network-Modified Genetic Algorithm Optimization Approach.

The purpose of the present article is to study the bending strength of glulam prepared by plane tree (Platanus Orientalis-L) wood layers adhered by UF resin with different formaldehyde to urea molar ratios containing the modified starch adhesive with different NaOCl concentrations. Artificial neural network (ANN) as a modern tool was used to predict this response, too. The multilayer perceptron (MLP) models were used to predict the modulus of rapture (MOR) and the statistics, including the determination coefficient (R), root mean square error (RMSE), and mean absolute percentage error (MAPE) were used to validate the prediction.

COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients.

Background: We aimed to analyze the prognostic power of CT-based radiomics models using data of 14,339 COVID-19 patients.

Methods: Whole lung segmentations were performed automatically using a deep learning-based model to extract 107 intensity and texture radiomics features. We used four feature selection algorithms and seven classifiers.

Impact of miRNA-binding site polymorphisms in gene on occurrence and clinical characteristics of systemic lupus erythematosus.

Background: Signal transducer and activator of transcription 3 (STAT3) is a major regulator of immune response and chronic inflammatory conditions acting through regulation of B cells, T-helper 17 (Th17) cells, and IL-17 production. Previous studies have demonstrated that dysregulation of STAT3 is crucial for SLE pathogenesis and disease severity. It is believed that single nucleotide polymorphisms (SNPs) located at the 3'-UTR sequence of the target genes could dysregulate their expression by disrupting the binding site of miRNAs.

Evaluation of the effect of sofosbuvir and daclatasvir in hospitalized COVID-19 patients: a randomized double-blind clinical trial (DISCOVER).

Background: The combination of sofosbuvir and daclatasvir has shown preliminary efficacy for hospitalized patients with COVID-19 in four open-label studies with small sample sizes. This larger trial aimed to assess if the addition of sofosbuvir/daclatasvir to standard care improved clinical outcomes in hospitalized patients with COVID-19.

Methods: This was a placebo-controlled, double-blind, randomized clinical trial in adults hospitalized with COVID-19 at 19 hospitals in Iran.

Food insecurity arises the likelihood of hospitalization in patients with COVID-19.

The World Health Organization (WHO) has declared the Corona pandemic as a public health emergency. This pandemic affects the main pillars of food security. This study aimed to investigate the relationship between food insecurity and the probability of hospitalization and the length of the recovery period after getting COVID-19.

Single-pill sofosbuvir and daclatasvir for treating hepatis C in patients co-infected with human immunodeficiency virus.

Background: The current recommendation for treating hepatitis C virus (HCV) in HIV patients includes the combination of sofosbuvir (SOF) and daclatasvir (DCV). DCV should be used at different doses to compensate for interactions with antiretroviral therapy (ART). Up to three pills a day might be required which will significantly add to the pill burden of these patients.

Sensitivity and specificity of chest computed tomography scan based on RT-PCR in COVID-19 diagnosis.

Purpose: COVID-19 is a novel, severely contagious and progressive infection occurring worldwide. The diagnosis of the disease is based on real-time polymerase chain reaction (RT-PCR) and computed tomography (CT) scan, even though they are still controversial methods.

Material And Methods: We studied 54 patients with suspected COVID-19 and the two mentioned methods were compared with each other.

A Forensic Epidemiological Study of Homicide in Isfahan Province and Review of the Literature.

The epidemic of deaths by homicide affects every society around the world and represents a major public health crisis. Detailed information on the characteristics of homicides victims from Islamic countries is limited. This article presents forensic epidemiological data on homicides in Isfahan, Iran, during 2013-2015.

Unnatural Deaths Among Children and Adolescents in Isfahan Province, Iran: A Forensic Epidemiology Study of Postmortem Data.

Introduction: The issue of child and adolescent injury and violence is often absent from discussions and is largely invisible in public health policies. The purpose of this study was to describe the frequency and pattern of unnatural deaths during childhood and adolescence in Isfahan province in Iran.

Materials And Methods: This retrospective, descriptive study involved unnatural deaths among individuals under the age of 20 years who died from unnatural causes as determined by a forensic autopsy at the Legal Medicine Center of Isfahan.