scholarly journals Novel Method for Detection of Genes With Altered Expression Caused by Coronavirus Infection and Screening of Candidate Drugs for SARS-CoV-2

2020 ◽  
Author(s):  
Y-H. Taguchi ◽  
Turki Turki
Keyword(s):  
Protein Interactions ◽  
Hepatitis Virus ◽  
Tensor Decomposition ◽  
Suitable Model ◽  
The Novel ◽  
Protein Protein Interactions ◽  
Altered Expression ◽  
Novel Method ◽  
Coronavirus Infection ◽  
Novel Coronavirus

To better understand the genes with altered expression caused by infection with the novel coronavirus strain SARS-CoV-2 causing COVID-19 infectious disease, a tensor decomposition (TD)-based unsupervised feature extraction (FE) approach was applied to a gene expression profile dataset of the mouse liver and spleen with experimental infection of mouse hepatitis virus, which is regarded as a suitable model of human coronavirus infection. TD-based unsupervised FE selected 134 altered genes, which were enriched in protein-protein interactions with orf1ab, polyprotein, and 3C-like protease that are well known to play critical roles in coronavirus infection, suggesting that these 134 genes can represent the coronavirus infectious process. We then selected compounds targeting the expression of the 134 selected genes based on a public domain database. The identified drug compounds were mainly related to known antiviral drugs, several of which were also included in those previously screened with an \textit{in silico} method to identify candidate drugs for treating COVID-19.

scholarly journals Novel Method for Detection of Genes With Altered Expression Caused by Coronavirus Infection and Screening of Candidate Drugs for SARS-CoV-2

2020 ◽  
Author(s):  
Y-H. Taguchi ◽  
Turki Turki
Keyword(s):  
Protein Interactions ◽  
Hepatitis Virus ◽  
Tensor Decomposition ◽  
Suitable Model ◽  
The Novel ◽  
Protein Protein Interactions ◽  
Altered Expression ◽  
Novel Method ◽  
Coronavirus Infection ◽  
Novel Coronavirus

To better understand the genes with altered expression caused by infection with the novel coronavirus strain SARS-CoV-2 causing COVID-19 infectious disease, a tensor decomposition (TD)-based unsupervised feature extraction (FE) approach was applied to a gene expression profile dataset of the mouse liver and spleen with experimental infection of mouse hepatitis virus, which is regarded as a suitable model of human coronavirus infection. TD-based unsupervised FE selected 134 altered genes, which were enriched in protein-protein interactions with orf1ab, polyprotein, and 3C-like protease that are well known to play critical roles in coronavirus infection, suggesting that these 134 genes can represent the coronavirus infectious process. We then selected compounds targeting the expression of the 134 selected genes based on a public domain database. The identified drug compounds were mainly related to known antiviral drugs, several of which were also included in those previously screened with an in silico method to identify candidate drugs for treating COVID-19.

Association and treatment of diabetes in patients affected by Covid-19

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1198-1201
Author(s):  
Syed Yasir Afaque
Keyword(s):  
Diabetes Mellitus ◽  
Prognostic Value ◽  
Heart Diseases ◽  
The Novel ◽  
The World ◽  
Treatment Of Diabetes ◽  
Coronavirus Infection ◽  
Composite Outcomes ◽  
Novel Coronavirus ◽  
The Impact

In December 2019, a unique coronavirus infection, SARS-CoV-2, was first identified in the province of Wuhan in China. Since then, it spread rapidly all over the world and has been responsible for a large number of morbidity and mortality among humans. According to a latest study, Diabetes mellitus, heart diseases, Hypertension etc. are being considered important risk factors for the development of this infection and is also associated with unfavorable outcomes in these patients. There is little evidence concerning the trail back of these patients possibly because of a small number of participants and people who experienced primary composite outcomes (such as admission in the ICU, usage of machine-driven ventilation or even fatality of these patients). Until now, there are no academic findings that have proven independent prognostic value of diabetes on death in the novel Coronavirus patients. However, there are several conjectures linking Diabetes with the impact as well as progression of COVID-19 in these patients. The aim of this review is to acknowledge about the association amongst Diabetes and the novel Coronavirus and the result of the infection in such patients.

High cytokine levels and cytokine storm in the novel coronavirus infection

2021 ◽  
pp. 38-47
Author(s):  
Maksim Leonidovich Maksimov ◽  
Albina Ayratovna Zvegintseva ◽  
Lyudmila Yurievna Kulagina ◽  
Albina Zainutdinovna Nigmedzyanova ◽  
Elvina Ramisovna Kadyseva
Keyword(s):  
Peripheral Blood ◽  
High Frequency ◽  
The Novel ◽  
Cytokine Storm ◽  
The Public ◽  
Systemic Inflammatory Reaction ◽  
Scientific World ◽  
Cytokine Levels ◽  
Coronavirus Infection ◽  
Novel Coronavirus

A review article is based on current foreign sources. The level of cytokines in the peripheral blood can be increased in many diseases, but in some cases there may be an excess of their normal concentration in tens, hundreds or more times with the development of a peculiar clinical picture, which is based on a systemic inflammatory reaction. In the literature this condition has received the figurative name «cytokine storm», which highlights an extremely violent reaction of the immune system with an unknown (often unfavorable) outcome. Close attention of the scientific world and the public to the problem of extremely high levels of cytokines in the peripheral blood (hypercytokinemia) was drawn due to the high frequency of the cytokine storm in the novel coronavirus infection.

FEATURES OF THE COURSE AND TACTICS OF MANAGING CHILDREN WITH KIDNEYS AND URINARY TRACT DISEASES DURING THE PANDEMIC OF NEW CORONAVIRUS INFECTION COVID-19

2021 ◽  
Vol 100 (4) ◽  
pp. 74-79
Author(s):  
I.M. Kagantsov ◽  
◽  
V.V. Sizonov ◽  
V.G. Svarich ◽  
K.P. Piskunov ◽  
...  
Keyword(s):  
Age Groups ◽  
Clinical Manifestations ◽  
Routine Care ◽  
The Novel ◽  
Urinary System ◽  
Death Rates ◽  
Global Pandemic ◽  
Coronavirus Infection ◽  
Novel Coronavirus ◽  
Significant Health

The novel coronavirus infection (SARS-CoV-2), which first appeared in Wuhan, China in December 2019, has been declared a global pandemic by WHO. COVID-19 affects people of all age groups. The disease in children is usually asymptomatic or mild compared to adults, and with a significantly lower death rates. Data on kidney damage in children with COVID-19, as well as the effect of coronavirus infection on the course of diseases of the genitourinary system, are limited, the risks of contracting a new coronavirus infection in children with significant health problems, including those with chronic kidney disease, remain uncertain. The pandemic has affected the activities of surgeons treating diseases of the urinary system in children. Since the prospects for the end of the pandemic are vague, it is necessary to formulate criteria for selecting patients who can and should be provided with routine care in the pandemic. The purpose of this review is to highlight the features of the clinical manifestations and treatment of children with COVID-19, occurring against the background of previous renal pathology or complicating its course.

The novel coronavirus infection (COVID-19) concurrent with pseudomembranous colitis in the early postpartum period: a clinical case

2021 ◽  
Vol 9_2021 ◽  
pp. 232-236
Author(s):  
Shklyaev A.E. Shklyaev A ◽  
Bessonov A.G. Bessonov A ◽  
Chushyalova D.A. Chushyalova D ◽  
Mikhailova M.D. Mikhailova M ◽  
Meleshkina M.V. Meleshkina M ◽  
...  
Keyword(s):  
Postpartum Period ◽  
Pseudomembranous Colitis ◽  
Clinical Case ◽  
The Novel ◽  
Early Postpartum Period ◽  
Early Postpartum ◽  
Coronavirus Infection ◽  
Novel Coronavirus

scholarly journals Identification of the Disrupted Pathways Associated with Periodontitis Based on Human Pathway Network

2016 ◽  
Vol 5 (4) ◽  
pp. 93-98
Author(s):  
Wen Sun ◽  
Lin Han ◽  
Wenmao Xu ◽  
Yazhen Sun
Keyword(s):  
Protein Interactions ◽  
Threshold Value ◽  
Normal Subjects ◽  
Protein Protein Interactions ◽  
Pathway Network ◽  
Differential Expression Genes ◽  
Weight Value ◽  
Limma Package ◽  
Novel Method ◽  
Cognitively Normal Subjects

AbstractObjective: The objective of this work is to search for a novel method to explore the disrupted pathways associated with periodontitis (PD) based on the network level.Methods: Firstly, the differential expression genes (DEGs) between PD patients and cognitively normal subjects were inferred based on LIMMA package. Then, the protein-protein interactions (PPI) in each pathway were explored by Empirical Bayesian (EB) co-expression program. Specifically, we determined the 100th weight value as the threshold value of the disrupted pathways of PPI by constructing the randomly model and confirmed the weight value of each pathway. Meanwhile, we dissected the disrupted pathways under the weight value > the threshold value. Pathways enrichment analyses of DEGs were carried out based on Expression Analysis Systematic Explored (EASE) test. Finally, the better method was selected based on the more rich and significant obtained pathways by comparing the two methods.Results: After the calculation of LIMMA package, we estimated 524 DEGs in all. Then we determined 0.115222 as the threshold value of the disrupted pathways of PPI. When the weight value>0.115222, there were 258 disrupted pathways of PPI enriched in. Additionally, we observed those 524 DEGs that were enriched in 4 pathways under EASE=0.1.Conclusion: We proposed a novel network method inferring the disrupted pathway for PD. The disrupted pathways might be underlying biomarkers for treatment associated with PD.

scholarly journals Cutaneous manifestations in children with the new coronavirus infection COVID-19

2021 ◽  
Vol 25 (1) ◽  
pp. 16-24
Author(s):  
O. B. Tamrazova ◽  
A. S. Stadnikova ◽  
E. V. Rudikova
Keyword(s):  
Literature Review ◽  
Viral Infection ◽  
Causative Agent ◽  
The Novel ◽  
Cutaneous Manifestations ◽  
Skin Manifestations ◽  
The World ◽  
Coronavirus Infection ◽  
Novel Coronavirus

In late 2019, a new viral infection appeared in China, which spread around the world, causing a pandemic. The causative agent of the new coronavirus infection COVID-19 is the SARS-CoV-2 coronavirus. The review presents modern data on the epidemiology, pathogenesis and course of the novel coronavirus infection COVID-19 in children. Chinese, American and European scientists have described a variety of cutaneous manifestations in children with COVID-19. The article provides a literature review of the cutaneous manifestations of COVID-19 coronavirus infection in children. During our own observation of 301 patients with coronavirus infection COVID-19 caused by SARS-CoV-2 at the Bashlyaevs Children Hospital in Moscow from May 17 to November 16, 2020, it was revealed that 39 (13 %) patients had skin manifestations. The article presents a classification of skin manifestations characteristic of COVID-19. A brief description of each group is given.

scholarly journals Has the Pandemic Triggered a ‘Paperdemic’? Towards an Assessment of Diagnostic Indicators for COVID-19

2021 ◽  
Author(s):  
AISDL
Keyword(s):  
Predictive Value ◽  
Diagnostic Testing ◽  
Supporting Evidence ◽  
The Novel ◽  
Scientific Publications ◽  
Widespread Belief ◽  
Novel Method ◽  
Consistency Problem ◽  
Novel Coronavirus ◽  
Sensitivity Specificity

This paper is a preliminary step towards the assessment of an alarming widespread belief that victims of the novel coronavirus SARS-CoV-2 include the quality and accuracy of scientific publications about it. Our initial results suggest that this belief cannot be readily ignored, denied, dismissed or refuted, since some genuine supporting evidence can be forwarded for it. This evidence includes an obvious increase in retractions of papers published about the COVID-19 pandemic plus an extra-ordinary phenomenon of inconsistency that we report herein. In fact, we provide a novel method for validating any purported set of the four most prominent indicators of diagnostic testing (Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value), by observing that these indicators constitute three rather than four independent quantities. This observation has virtually been unheard of in the open medical literature, and hence researchers have not taken it into consideration. We define two functions, which serve as consistency criteria, since each of them checks consistency for any set of four numerical values (naturally belonging to the interval [0.0,1.0]) claimed to be the four basic diagnostic indicators. Most of the data we came across in various international journals met our criteria for consistency, but in a few cases, there were obvious unexplained blunders. We explored the same consistency problem for some diagnostic data published in 2020 concerning the ongoing COVID-19 pandemic and observed that the afore-mentioned unexplained blunders tended to be on the rise. A systematic extensive statistical assessment of this resumed tendency is warranted.

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