Transcription Factor Driven Gene Regulation in COVID-19 Patients.

SARS-CoV-2 and its many variants have caused a worldwide emergency. Host cells colonised by SARS-CoV-2 present a significantly different gene expression landscape. As expected, this is particularly true for genes that directly interact with virus proteins. Thus, understanding the role that transcription factors can play in driving differential regulation in patients affected by COVID-19 is a focal point to unveil virus infection. In this regard, we have identified 19 transcription factors which are predicted to target human proteins interacting with Spike glycoprotein of SARS-CoV-2. Transcriptomics RNA-Seq data derived from 13 human organs are used to analyse expression correlation between identified transcription factors and related target genes in both COVID-19 patients and healthy individuals. This resulted in the identification of transcription factors showing the most relevant impact in terms of most evident differential correlation between COVID-19 patients and healthy individuals. This analysis has also identified five organs such as the blood, heart, lung, nasopharynx and respiratory tract in which a major effect of differential regulation mediated by transcription factors is observed. These organs are also known to be affected by COVID-19, thereby providing consistency to our analysis. Furthermore, 31 key human genes differentially regulated by the transcription factors in the five organs are identified and the corresponding KEGG pathways and GO enrichment are also reported. Finally, the drugs targeting those 31 genes are also put forth. This in silico study explores the effects of transcription factors on human genes interacting with Spike glycoprotein of SARS-CoV-2 and intends to provide new insights to inhibit the virus infection.

Bioinformatics and system biology approach to identify potential common pathogenesis for COVID-19 infection and osteoarthritis.

A growing of evidence has showed that patients with osteoarthritis (OA) had a higher coronavirus 2019 (COVID-19) infection rate and a poorer prognosis after infected it. Additionally, scientists have also discovered that COVID-19 infection might cause pathological changes in the musculoskeletal system. However, its mechanism is still not fully elucidated. This study aims to further explore the sharing pathogenesis of patients with both OA and COVID-19 infection and find candidate drugs. Gene expression profiles of OA (GSE51588) and COVID-19 (GSE147507) were obtained from the Gene Expression Omnibus (GEO) database. The common differentially expressed genes (DEGs) for both OA and COVID-19 were identified and several hub genes were extracted from them. Then gene and pathway enrichment analysis of the DEGs were performed; protein-protein interaction (PPI) network, transcription factor (TF)-gene regulatory network, TF-miRNA regulatory network and gene-disease association network were constructed based on the DEGs and hub genes. Finally, we predicted several candidate molecular drugs related to hub genes using DSigDB database. The receiver operating characteristic curve (ROC) was applied to evaluate the accuracy of hub genes in the diagnosis of both OA and COVID-19. In total, 83 overlapping DEGs were identified and selected for subsequent analyses. CXCR4, EGR2, ENO1, FASN, GATA6, HIST1H3H, HIST1H4H, HIST1H4I, HIST1H4K, MTHFD2, PDK1, TUBA4A, TUBB1 and TUBB3 were screened out as hub genes, and some showed preferable values as diagnostic markers for both OA and COVID-19. Several candidate molecular drugs, which are related to the hug genes, were identified. These sharing pathways and hub genes may provide new ideas for further mechanistic studies and guide more individual-based effective treatments for OA patients with COVID-19 infection.

Clinical Features of COVID-19 in Patients with Congenital Central Hypoventilation Syndrome.

Background: The clinical course of COVID-19 in patients with congenital central hypoventilation syndrome (CCHS) is unknown. Methods: We conducted a cross-sectional questionnaire study in 43 patients with CCHS who had COVID-19. Results: The median age of patients was 11 [interquartile range (IQR) 6-22] years and 53.5% required assisted ventilation (AV) through tracheostomy. Disease severity ranged from asymptomatic infection (12%) to severe illness with hypoxemia (33%) and hypercapnia requiring emergency care/hospitalization (21%), increased AV duration (42%), increased ventilator settings (12%), and supplemental oxygen demand (28%). The median duration to return to baseline AV (n = 20) was 7 (IQR 3-10) days. Patients with polyalanine repeat mutations required increased AV duration compared with those with nonpolyalanine repeat mutations (P = 0.048). Patients with tracheostomy required increased oxygen during illness (P = 0.02). Patients aged ≥18 years took longer to return to baseline AV (P = 0.04). Conclusions: Our study suggests that all patients with CCHS should be vigilantly monitored during COVID-19 illness.

Case Report: Molecular autopsy underlie COVID-19-associated sudden, unexplained child mortality.

Herein, we report a child with COVID-19 and seemingly no underlying disease, who died suddenly. The autopsy revealed severe anemia and thrombocytopenia, splenomegaly, hypercytokinemia, and a rare ectopic congenital coronary origin. Immunohistochemical analysis demonstrated that the patient had acute lymphoblastic leukemia of the B-cell precursor phenotype (BCP-ALL). The complex cardiac and hematological abnormalities suggested the presence of an underlying disease; therefore, we performed whole-exome sequencing (WES). WES revealed a leucine-zipper-like transcription regulator 1 (LZTR1) variant, indicating Noonan syndrome (NS). Therefore, we concluded that the patient had underlying NS along with coronary artery malformation and that COVID-19 infection may have triggered the sudden cardiac death due to increased cardiac load caused by high fever and dehydration. In addition, multiple organ failure due to hypercytokinemia probably contributed to the patient's death. This case would be of interest to pathologists and pediatricians because of the limited number of NS patients with LZTR1 variants; the complex combination of an LZTR1 variant, BCP-ALL, and COVID-19; and a rare pattern of the anomalous origin of the coronary artery. Thus, we highlight the significance of molecular autopsy and the application of WES with conventional diagnostic methods.

Structure and Functions of HMGB2 Protein.

High-Mobility Group (HMG) chromosomal proteins are the most numerous nuclear non-histone proteins. HMGB domain proteins are the most abundant and well-studied HMG proteins. They are involved in variety of biological processes. HMGB1 and HMGB2 were the first members of HMGB-family to be discovered and are found in all studied eukaryotes. Despite the high degree of homology, HMGB1 and HMGB2 proteins differ from each other both in structure and functions. In contrast to HMGB2, there is a large pool of works devoted to the HMGB1 protein whose structure-function properties have been described in detail in our previous review in 2020. In this review, we attempted to bring together diverse data about the structure and functions of the HMGB2 protein. The review also describes post-translational modifications of the HMGB2 protein and its role in the development of a number of diseases. Particular attention is paid to its interaction with various targets, including DNA and protein partners. The influence of the level of HMGB2 expression on various processes associated with cell differentiation and aging and its ability to mediate the differentiation of embryonic and adult stem cells are also discussed.

Review of clonal hematopoiesis, subtypes and its role in neoplasia and different morbidities.

Clonal hematopoiesis (CH) is the development of a certain cell lineage which is the cornerstone of hematologic malignancy especially myeloid neoplasms, however, can also be found in old age (6th-7th decade). CH is caused by many different somatic mutations most commonly in DNMT3A, TET2, ASXL1, SF3B1 and TP53. It is detected by different sequencing methods, the most commonly used ones are next generation sequencing (NGS) which can be whole exome, whole genome sequencing or a panel for certain genes. CH is divided into multiple categories depending on the clinical picture associated with it into: clonal monocytosis of undetermined significance (CMUS), clonal hematopoiesis of indeterminate significance (CHIP), clonal cytopenia and monocytosis of undetermined significance (CCMUS) and clonal cytopenia of undetermined significance (CCUS). In order to diagose CH, first other hematologic malignancies must be ruled out CH is also associated with many different entities including lung cancer and some studies have shown that COVID-19 infections are affected by CH. Certain traits and infections are associated with CH including smoking, obesity, and cardiovascular disease. A minority of patients with CH progress to a malignant process (between 0.5 %-2 %) which do not require treatment, however, any patient with CH should be kept under surveillance in order to detect any malignancy early and be treated accordingly. SIMPLE SUMMARY: Clonal hematopoiesis (CH) is considered to be the predisposing factor for development of different hematologic neoplasms. With the help of NGS, patients with CH can be monitored more closely. Several studies have shown that these patients might develop hematologic neoplasms in their lifetime. It has been subdivided into multiple groups according to the clinical picture and/or blood counts.

Exploring Potential Biomarkers and Molecular Mechanisms of Ischemic Cardiomyopathy and COVID-19 Comorbidity Based on Bioinformatics and Systems Biology.

Cardiovascular complications combined with COVID-19 (SARS-CoV-2) lead to a poor prognosis in patients. The common pathogenesis of ischemic cardiomyopathy (ICM) and COVID-19 is still unclear. Here, we explored potential molecular mechanisms and biomarkers for ICM and COVID-19. Common differentially expressed genes (DEGs) of ICM (GSE5406) and COVID-19 (GSE164805) were identified using GEO2R. We performed enrichment and protein-protein interaction analyses and screened key genes. To confirm the diagnostic performance for these hub genes, we used external datasets (GSE116250 and GSE211979) and plotted ROC curves. Transcription factor and microRNA regulatory networks were constructed for the validated hub genes. Finally, drug prediction and molecular docking validation were performed using cMAP. We identified 81 common DEGs, many of which were enriched in terms of their relation to angiogenesis. Three DEGs were identified as key hub genes (HSP90AA1, HSPA9, and SRSF1) in the protein-protein interaction analysis. These hub genes had high diagnostic performance in the four datasets (AUC > 0.7). Mir-16-5p and KLF9 transcription factor co-regulated these hub genes. The drugs vindesine and ON-01910 showed good binding performance to the hub genes. We identified HSP90AA1, HSPA9, and SRSF1 as markers for the co-pathogenesis of ICM and COVID-19, and showed that co-pathogenesis of ICM and COVID-19 may be related to angiogenesis. Vindesine and ON-01910 were predicted as potential therapeutic agents. Our findings will contribute to a deeper understanding of the comorbidity of ICM with COVID-19.

Porcine Epidemic Diarrhea Virus Antagonizes Host IFN-λ-Mediated Responses by Tilting Transcription Factor STAT1 toward Acetylation over Phosphorylation To Block Its Activation.

Porcine epidemic diarrhea virus (PEDV) is the main etiologic agent causing acute swine epidemic diarrhea, leading to severe economic losses to the pig industry. PEDV has evolved to deploy complicated antagonistic strategies to escape from host antiviral innate immunity. Our previous study demonstrated that PEDV downregulates histone deacetylase 1 (HDAC1) expression by binding viral nucleocapsid (N) protein to the transcription factor Sp1, inducing enhanced protein acetylation. We hypothesized that PEDV inhibition of HDAC1 expression would enhance acetylation of the molecules critical in innate immune signaling. Signal transducer and activator of transcription 1 (STAT1) is a crucial transcription factor regulating expression of interferon (IFN)-stimulated genes (ISGs) and anti-PEDV immune responses, as shown by overexpression, chemical inhibition, and gene knockdown in IPEC-J2 cells. We further show that PEDV infection and its N protein overexpression, although they upregulated STAT1 transcription level, could significantly block poly(I·C) and IFN-λ3-induced STAT1 phosphorylation and nuclear localization. Western blotting revealed that PEDV and its N protein promote STAT1 acetylation via downregulation of HDAC1. Enhanced STAT1 acetylation due to HDAC1 inhibition by PEDV or MS-275 (an HDAC1 inhibitor) impaired STAT1 phosphorylation, indicating that STAT1 acetylation negatively regulated its activation. These results, together with our recent report on PEDV N-mediated inhibition of Sp1, clearly indicate that PEDV manipulates the Sp1-HDAC1-STAT1 signaling axis to inhibit transcription of OAS1 and ISG15 in favor of its replication. This novel immune evasion mechanism is realized by suppression of STAT1 activation through preferential modulation of STAT1 acetylation over phosphorylation as a result of HDAC1 expression inhibition. IMPORTANCE PEDV has developed sophisticated evasion mechanisms to escape host IFN signaling via its structural and nonstructural proteins. STAT1 is one of the key transcription factors in regulating expression of ISGs. We found that PEDV and its N protein inhibit STAT1 phosphorylation and nuclear localization via inducing STAT1 acetylation as a result of HDAC1 downregulation, which, in turn, dampens the host IFN signaling activation. Our study demonstrates a novel mechanism that PEDV evades host antiviral innate immunity through manipulating the reciprocal relationship of STAT1 acetylation and phosphorylation. This provides new insights into the pathogenetic mechanisms of PEDV and even other coronaviruses.

Cytokine storm-based mechanisms for extrapulmonary manifestations of SARS-CoV-2 infection.

Viral illnesses like SARS-CoV-2 have pathologic effects on nonrespiratory organs in the absence of direct viral infection. We injected mice with cocktails of rodent equivalents of human cytokine storms resulting from SARS-CoV-2/COVID-19 or rhinovirus common cold infection. At low doses, COVID-19 cocktails induced glomerular injury and albuminuria in zinc fingers and homeoboxes 2 (Zhx2) hypomorph and Zhx2+/+ mice to mimic COVID-19-related proteinuria. Common Cold cocktail induced albuminuria selectively in Zhx2 hypomorph mice to model relapse of minimal change disease, which improved after depletion of TNF-α, soluble IL-4Rα, or IL-6. The Zhx2 hypomorph state increased cell membrane to nuclear migration of podocyte ZHX proteins in vivo (both cocktails) and lowered phosphorylated STAT6 activation (COVID-19 cocktail) in vitro. At higher doses, COVID-19 cocktails induced acute heart injury, myocarditis, pericarditis, acute liver injury, acute kidney injury, and high mortality in Zhx2+/+ mice, whereas Zhx2 hypomorph mice were relatively protected, due in part to early, asynchronous activation of STAT5 and STAT6 pathways in these organs. Dual depletion of cytokine combinations of TNF-α with IL-2, IL-13, or IL-4 in Zhx2+/+ mice reduced multiorgan injury and eliminated mortality. Using genome sequencing and CRISPR/Cas9, an insertion upstream of ZHX2 was identified as a cause of the human ZHX2 hypomorph state.

Identification of Common Dysregulated Genes in COVID-19 and Hypersensitivity Pneumonitis: A Systems Biology and Machine Learning Approach.

A comprehensive knowledge on systems biology of severe acute respiratory syndrome coronavirus 2 is crucial for differential diagnosis of COVID-19. Interestingly, the radiological and pathological features of COVID-19 mimic that of hypersensitivity pneumonitis (HP), another pulmonary fibrotic phenotype. This motivated us to explore the overlapping pathophysiology of COVID-19 and HP, if any, and using a systems biology approach. Two datasets were obtained from the Gene Expression Omnibus database (GSE147507 and GSE150910) and common differentially expressed genes (DEGs) for both diseases identified. Fourteen common DEGs, significantly altered in both diseases, were found to be implicated in complement activation and growth factor activity. A total of five microRNAs (hsa-miR-1-3p, hsa-miR-20a-5p, hsa-miR-107, hsa-miR-16-5p, and hsa-miR-34b-5p) and five transcription factors (KLF6, ZBTB7A, ELF1, NFIL3, and ZBT33) exhibited highest interaction with these common genes. Next, C3, CFB, MMP-9, and IL1A were identified as common hub genes for both COVID-19 and HP. Finally, these top-ranked genes (hub genes) were evaluated using random forest classifier to discriminate between the disease and control group (coronavirus disease 2019 [COVID-19] vs. controls, and HP vs. controls). This supervised machine learning approach demonstrated 100% and 87.6% accuracy in differentiating COVID-19 from controls, and HP from controls, respectively. These findings provide new molecular leads that inform COVID-19 and HP diagnostics and therapeutics research and innovation.

Cribriform adenocarcinoma of the minor salivary glands: a case report.

BACKGROUND: Polymorphous adenocarcinoma is the third most common malignant salivary gland tumor. Within polymorphous adenocarcinoma, cribriform adenocarcinoma of salivary glands is a rare subtype and resembles papillary thyroid carcinoma histopathologically. Diagnostically, cribriform adenocarcinoma of salivary glands is challenging for pathologists and surgeons alike as initial presentation and cytologic nuclear features can be easily confused with papillary thyroid carcinoma arising from a thyroglossal duct remnant or lingual thyroid. CASE PRESENTATION: A healthy 64-year-old Caucasian woman presented to a community otolaryngologist with a 4-year history of progressive postnasal drip, globus sensation, and eventual dysphonia. Flexible fiberoptic laryngoscopy showed a large, smooth, vallecular lesion filling the oropharynx. Computed tomography imaging of the neck showed a rounded heterogeneous mass centered within the right aspect of the oropharynx measuring 4.2 × 4.4 × 4.5 cm. Fine needle aspiration biopsy was suspicious for papillary carcinoma due to microscopic findings of malignant cells, nuclear grooves, and a powdery chromatin pattern. In the operating room, the tumor was resected en bloc using a lateral pharyngotomy approach with partial resection of the right lateral hyoid. A limited cervical lymphadenectomy was performed to facilitate the lateral pharyngotomy approach and two out of three lymph nodes demonstrated regional metastatic disease. Nuclear grooves, nuclear membrane notching, and occasional intranuclear pseudoinclusions were identified, which are overlapping histopathological characteristics of papillary thyroid carcinoma and cribriform adenocarcinoma of salivary glands. It was negative for thyroglobulin and thyroid transcription factor-1, which was in keeping with cribriform adenocarcinoma of salivary glands rather than papillary thyroid carcinoma. CONCLUSION: It is difficult to distinguish cribriform adenocarcinoma of salivary glands from papillary thyroid carcinoma solely by cytology, and the distinct characteristics of regional lymph node metastasis coupled with nuanced histologic differences should be emphasized in the evaluation of patients presenting with neck lymphadenopathy and an unknown primary or tongue mass. If sufficient fine needle aspiration biopsy material is available, thyroid transcription factor-1, thyroglobulin, or molecular testing may prove useful in differentiating cribriform adenocarcinoma of salivary glands from papillary thyroid carcinoma. A misdiagnosis of papillary thyroid carcinoma may lead to inappropriate treatment including unnecessary thyroidectomy. Therefore, it is critical for both pathologists and surgeons to be aware of this uncommon entity to avoid misdiagnosis and subsequent mismanagement.

HGCA2.0: An RNA-Seq Based Webtool for Gene Coexpression Analysis in Homo sapiens.

Genes with similar expression patterns in a set of diverse samples may be considered coexpressed. Human Gene Coexpression Analysis 2.0 (HGCA2.0) is a webtool which studies the global coexpression landscape of human genes. The website is based on the hierarchical clustering of 55,431 Homo sapiens genes based on a large-scale coexpression analysis of 3500 GTEx bulk RNA-Seq samples of healthy individuals, which were selected as the best representative samples of each tissue type. HGCA2.0 presents subclades of coexpressed genes to a gene of interest, and performs various built-in gene term enrichment analyses on the coexpressed genes, including gene ontologies, biological pathways, protein families, and diseases, while also being unique in revealing enriched transcription factors driving coexpression. HGCA2.0 has been successful in identifying not only genes with ubiquitous expression patterns, but also tissue-specific genes. Benchmarking showed that HGCA2.0 belongs to the top performing coexpression webtools, as shown by STRING analysis. HGCA2.0 creates working hypotheses for the discovery of gene partners or common biological processes that can be experimentally validated. It offers a simple and intuitive website design and user interface, as well as an API endpoint.

Pharmacological disruption of mSWI/SNF complex activity restricts SARS-CoV-2 infection.

Identification of host determinants of coronavirus infection informs mechanisms of viral pathogenesis and can provide new drug targets. Here we demonstrate that mammalian SWItch/Sucrose Non-Fermentable (mSWI/SNF) chromatin remodeling complexes, specifically canonical BRG1/BRM-associated factor (cBAF) complexes, promote severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and represent host-directed therapeutic targets. The catalytic activity of SMARCA4 is required for mSWI/SNF-driven chromatin accessibility at the ACE2 locus, ACE2 expression and virus susceptibility. The transcription factors HNF1A/B interact with and recruit mSWI/SNF complexes to ACE2 enhancers, which contain high HNF1A motif density. Notably, small-molecule mSWI/SNF ATPase inhibitors or degraders abrogate angiotensin-converting enzyme 2 (ACE2) expression and confer resistance to SARS-CoV-2 variants and a remdesivir-resistant virus in three cell lines and three primary human cell types, including airway epithelial cells, by up to 5 logs. These data highlight the role of mSWI/SNF complex activities in conferring SARS-CoV-2 susceptibility and identify a potential class of broad-acting antivirals to combat emerging coronaviruses and drug-resistant variants.

Role of FXR in Renal Physiology and Kidney Diseases.

Farnesoid X receptor, also known as the bile acid receptor, belongs to the nuclear receptor (NR) superfamily of ligand-regulated transcription factors, which performs its functions by regulating the transcription of target genes. FXR is highly expressed in the liver, small intestine, kidney and adrenal gland, maintaining homeostasis of bile acid, glucose and lipids by regulating a diverse array of target genes. It also participates in several pathophysiological processes, such as inflammation, immune responses and fibrosis. The kidney is a key organ that manages water and solute homeostasis for the whole body, and kidney injury or dysfunction is associated with high morbidity and mortality. In the kidney, FXR plays an important role in renal water reabsorption and is thought to perform protective functions in acute kidney disease and chronic kidney disease, especially diabetic kidney disease. In this review, we summarize the recent advances in the understanding of the physiological and pathophysiological function of FXR in the kidney.

Gene-Nutrient Interactions in Obesity: COBLL1 Genetic Variants Interact with Dietary Fat Intake to Modulate the Incidence of Obesity.

The COBLL1 gene is associated with leptin, a hormone important for appetite and weight maintenance. Dietary fat is a significant factor in obesity. This study aimed to determine the association between COBLL1 gene, dietary fat, and incidence of obesity. Data from the Korean Genome and Epidemiology Study were used, and 3055 Korean adults aged ≥ 40 years were included. Obesity was defined as a body mass index ≥ 25 kg/m2. Patients with obesity at baseline were excluded. The effects of the COBLL1 rs6717858 genotypes and dietary fat on incidence of obesity were evaluated using multivariable Cox proportional hazard models. During an average follow-up period of 9.2 years, 627 obesity cases were documented. In men, the hazard ratio (HR) for obesity was higher in CT, CC carriers (minor allele carriers) in the highest tertile of dietary fat intake than for men with TT carriers in the lowest tertile of dietary fat intake (Model 1: HR: 1.66, 95% confidence interval [CI]: 1.07-2.58; Model 2: HR: 1.63, 95% CI: 1.04-2.56). In women, the HR for obesity was higher in TT carriers in the highest tertile of dietary fat intake than for women with TT carriers in the lowest tertile of dietary fat intake (Model 1: HR: 1.49, 95% CI: 1.08-2.06; Model 2: HR: 1.53, 95% CI: 1.10-2.13). COBLL1 genetic variants and dietary fat intake had different sex-dependent effects in obesity. These results imply that a low-fat diet may protect against the effects of COBLL1 genetic variants on future obesity risk.

Evaluation of Serum Humanin and MOTS-c Peptide Levels in Patients with COVID-19 and Healthy Subjects.

BACKGROUND: Coronavirus Disease 2019 (COVID-19) is a life-threatening and persistent pandemic with high rates of mortality and morbidity. Although a dysfunction in the mitochondria occurs in COVID-19 pathogenesis, the contribution of mitochondrial-derived peptides to its pathophysiology has not yet been completely elucidated. The goals of this research were to assess the circulating humanin and mitochondrial open reading frame of the 12S rRNA-c (MOTS-c) levels in COVID-19 patients and explore the effects of antiviral drug therapy on these peptide levels. METHODS: Thirty adult COVID-19 patients and 32 gender-matched healthy volunteers were enrolled in this study. Circulating humanin and MOTS-c levels were detected using the ELISA method during pretreatment (before drug therapy) and post-treatment (on the 7th day of drug therapy). RESULTS: We found that there was significant attenuation of the serum humanin levels in COVID-19 patients (P < 0.001). However, we detected a significant augmentation in serum MOTS-c levels when compared to controls (P < 0.01 for pre-treatment and P < 0.001 for post-treatment). Interestingly, antiviral drug therapy did not modify the serum MOTS-c and humanin levels. CONCLUSION: Our findings suggest that MOTS-c and humanin were involved in the COVID-19 pathogenesis. Our data may also imply that elevated MOTS-c could act as a compensatory mechanism to eliminate the effects of decreased humanin levels.

SARS-CoV-2 pandemics: An update of CRISPR in diagnosis and host-virus interaction studies.

Since December 2019, the Coronavirus disease 2019 (COVID-19) outbreak caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has spread rapidly around the world, overburdening healthcare systems and creating significant global health concerns. Rapid detection of infected individuals via early diagnostic tests and administration of effective therapy remains vital in pandemic control, and recent advances in the clustered regularly interspaced short palindromic repeats (CRISPR)-CRISPR-associated proteins (Cas) system may support the development of novel diagnostic and therapeutic approaches. Cas-based SARS-CoV-2 detection methods (FnCAS9 Editor Linked Uniform Detection Assay (FELUDA), DNA endonuclease-targeted CRISPR trans reporter (DETECTR), and Specific High-sensitivity Enzymatic Reporter Unlocking (SHERLOCK)) have been developed for easier handling compared to quantitative polymerase chain reaction (qPCR) assays, with good rapidity, high specificity, and reduced need for complex instrumentation. Cas-CRISPR-derived RNA (Cas-crRNA) complexes have been shown to reduce viral loads in the lungs of infected hamsters, by degrading virus genomes and limiting viral replication in host cells. Viral-host interaction screening platforms have been developed using the CRISPR-based system to identify essential cellular factors involved in pathogenesis, and CRISPR knockout (CRISPRKO) and activation screening results have revealed vital pathways in the life cycle of coronaviruses, including host cell entry receptors (ACE2, DPP4, and ANPEP), proteases involved in spike activation and membrane fusion (cathepsin L (CTSL) and transmembrane protease serine 2 (TMPRSS2)), intracellular traffic control routes for virus uncoating and budding, and membrane recruitment for viral replication. Several novel genes (SWI/SNF Related, Matrix Associated, Actin Dependent Regulator of Chromatin, subfamily A, member 4 (SMARCA4), ARIDIA, and KDM6A) have also been identified via systematic data mining analysis as pathogenic factors for severe CoV infection. This review highlights how CRISPR-based systems can be applied to investigate the viral life cycle, detect viral genomes, and develop therapies against SARS-CoV-2 infection.

The study of the strength and significance of four biological parameters on the body weight of goose.

Alternative products such as those from high-value protien animals have increased the demand for the production of high-quality chicken meat in past few years. This study examines the impact of two distinct feeding types on goose body-weight, as well as the genetic variation of growth hormone (GH) and pituitary-specific transcription factor (Pit-1) genes in ten goose populations using single nucleotide polymorphism (SNP) markers and PCR-RFLP analysis. Both genes were seen as very important for productivity, especially in light of the COVID-19 and its effect on poultry industry at the time. The findings suggest that employing genetic indicators in these two genes in conjunction with a high-fat diet may be a feasible strategy for goose selection programme aiming to increase marketing body weight, as the high-fat diet outperformed the balanced diet. The study investigates the effect of gender, 2 types of diets, breeds and the genetic variation of the two genes, four SNPs were reported to be found: two at the GH gene exons C123T and C158T, and two at the Pit-1 gene exons G161A and T282G. Certain genotypes were found to have a substantial effect on the marketing body-weight of goose, which varied depending on the tested breeds. However, in terms of gender, males report higher and better performance levels than females. Diet, breeds and genotype interaction, and breeds, gender and genotype interaction were found to have a minor effect on goose body weight. However, diet, breeds, gender, SNP locus, diet and breeds interaction, and breeds and gender interaction were found to have a significant effect on goose body weight, as indicated by the effect size results.