Autophagy-related genes polymorphism in hepatitis B virus-associated hepatocellular carcinoma: A systematic review.

BACKGROUND: Chronic hepatitis B (CHB) virus is the most common risk factor for developing liver malignancy. Autophagy is an essential element in human cell maintenance. Several studies have demonstrated that autophagy plays a vital role in liver cancer at different stages. In this systematic review, we intend to investigate the role of polymorphism and mutations of autophagy-related genes (ATGs) in the pathogenesis and carcinogenesis of the hepatitis B virus (HBV). MATERIALS AND METHODS: The search was conducted in online databases (Web of Science, PubMed, and Scopus) using Viruses, Infections, Polymorphism, Autophagy, and ATG. The study was conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses criteria. RESULTS: The primary search results led to 422 studies. By screening and eligibility evaluation, only four studies were relevant. The most important polymorphisms in hepatocellular carcinoma were rs2241880 in ATG16L1, rs77859116, rs510432, and rs548234 in ATG5. Furthermore, some polymorphisms are associated with an increased risk of HBV infection including, rs2241880 in ATG16L1 and rs6568431 in ATG5. CONCLUSION: The current study highlights the importance of rs2241880 in ATG16L1 and rs77859116, rs510432, and rs548234 in ATG5 for HBV-induced HCC. Additionally, some mutations in ATG16L1 and ATG5 were important in risk of HBV infection. The study highlights the gap of knowledge in the field of ATG polymorphisms in HBV infection and HBV-induced HCC.

The role of cholesterol 25-hydroxylase in viral infections: Mechanisms and implications.

Viral infections pose significant threats to human health, causing various diseases with varying severity. The intricate interactions between viruses and host cells determine the outcome of infection, including viral replication, immune responses, and disease progression. Cholesterol 25-hydroxylase (CH25H) is an enzyme that catalyzes the conversion of cholesterol to 25-hydroxycholesterol (25HC), a potent antiviral molecule. In recent years, increasing evidence has highlighted the critical involvement of CH25H in modulating immune responses and influencing viral infections. Notably, the review discusses the implications of CH25H in viral pathogenesis and the development of therapeutic strategies. It examines the interplay between CH25H and viral immune evasion mechanisms, highlighting the potential of viral antagonism of CH25H to enhance viral replication and pathogenesis. Furthermore, it explores the therapeutic potential of targeting CH25H or modulating its downstream signaling pathways as a strategy to control viral infections and enhance antiviral immune responses. This comprehensive review demonstrates the crucial role of CH25H in viral infections, shedding light on its mechanisms of action in viral entry, replication, and immune modulation. Understanding the complex interplay between CH25H and viral infections may pave the way for novel therapeutic approaches and the development of antiviral strategies aimed at exploiting the antiviral properties of CH25H and enhancing host immune responses against viral pathogens. In the current review, we tried to provide an overview of the antiviral activity and importance of CH25H in viral pathogenesis.

Forecasting influenza hemagglutinin mutations through the lens of anomaly detection.

The influenza virus hemagglutinin is an important part of the virus attachment to the host cells. The hemagglutinin proteins are one of the genetic regions of the virus with a high potential for mutations. Due to the importance of predicting mutations in producing effective and low-cost vaccines, solutions that attempt to approach this problem have recently gained significant attention. A historical record of mutations has been used to train predictive models in such solutions. However, the imbalance between mutations and preserved proteins is a big challenge for the development of such models that need to be addressed. Here, we propose to tackle this challenge through anomaly detection (AD). AD is a well-established field in Machine Learning (ML) that tries to distinguish unseen anomalies from normal patterns using only normal training samples. By considering mutations as anomalous behavior, we could benefit existing rich solutions in this field that have emerged recently. Such methods also fit the problem setup of extreme imbalance between the number of unmutated vs. mutated training samples. Motivated by this formulation, our method tries to find a compact representation for unmutated samples while forcing anomalies to be separated from the normal ones. This helps the model to learn a shared unique representation between normal training samples as much as possible, which improves the discernibility and detectability of mutated samples from the unmutated ones at the test time. We conduct a large number of experiments on four publicly available datasets, consisting of three different hemagglutinin protein datasets, and one SARS-CoV-2 dataset, and show the effectiveness of our method through different standard criteria.

Coagulopathy and thromboembolic events a pathogenic mechanism of COVID-19 associated with mortality: An updated review.

During 2019, the SARS-CoV-2 emerged from China, and during months, COVID-19 spread in many countries around the world. The expanding data about pathogenesis of this virus could elucidate the exact mechanism by which COVID-19 caused death in humans. One of the pathogenic mechanisms of this disease is coagulation. Coagulation disorders that affect both venous and arterial systems occur in patients with COVID-19. The possible mechanism involved in the coagulation could be excessive inflammation induced by SARS-CoV-2. However, it is not yet clear well how SARS-CoV-2 promotes coagulopathy. However, some factors, such as pulmonary endothelial cell damage and some anticoagulant system disorders, are assumed to have an important role. In this study, we assessed conducted studies about COVID-19-induced coagulopathy to obtain clearer vision of the wide range of manifestations and possible pathogenesis mechanisms.

The potential importance of autophagy genes expression profile dysregulation and ATG polymorphisms in COVID-19 pathogenesis.

Autophagy is one of the important mechanisms in cell maintenance, which is considered associated with different pathological conditions such as viral infections. In this current study, the expression level and polymorphisms in some of the most important genes in the autophagy flux in COVID-19 patients were evaluated. This cross-sectional study was conducted among 50 confirmed COVID-19 patients and 20 healthy controls. The COVID-19 patients were divided into a severe group and a mild group according to their clinical features. The expression levels of ATG5, ATG16L1, LC3, and BECN1 were evaluated by the 2-∆∆CT method and beta-actin as the internal control. The polymorphisms of the ATG5 (rs506027, rs510432) and ATG16L1 (rs2241880 or T300A) were evaluated by the Sanger sequencing following the conventional PCR. The mean age of the included patients was 58.3 ± 17.9 and 22 (44%) were female. The expression levels of the LC3 were downregulated, while BECN1 and ATG16L1 genes represent an upregulation in COVID-19 patients. The polymorphism analysis revealed the ATG16L1 rs2241880 and AGT5 rs506027 polymorphism frequencies are statistically significantly different between COVID-19 and Healthy controls. The autophagy alteration represents an association with COVID-19 pathogenesis and severity. The current study is consistent with the alteration of autophagy elements in COVID-19 patients by mRNA expression-level evaluation. Furthermore, ATG16L1 rs2241880 and AGT5 rs506027 polymorphisms seem to be important in COVID-19 and are highly suggested for further investigations.

A survey of ORF8 sequence and immunoinformatics features during alpha, delta, and wild type peaks of the SARS-CoV-2 pandemic in Iran.

Background: The Coronavirus disease 2019 (COVID-19) pandemic influences all around the world. The SARS-CoV-2 ORF8 accessory gene represents multiple functions in virus-host interaction. The current study aimed to compare the ORF8 substitutions and epitope features of these substitutions in the various SARS-CoV-2 outbreaks including delta, alpha, and wild type variants in Iran from 2020 to 2022. In addition, we evaluate B cell, HLA I and II epitopes, by in-silico approach to ORF8 binding site prediction. Methods: The samples were collected from patients diagnosed with SARS-CoV-2 infection via a real-time PCR assay. Then, a conventional PCR was carried out for ORF8 mutations analysis and further Sanger sequencing. Possible important alterations in epitope features of the ORF8 were evaluated by epitope mapping. B cell, HLA class I and II epitopes, evaluated by online databases ABCpred, NetMHCpan-4.1, and NetMHCIIpan-3.2, respectively. Results: The current study results could not represent novel variations in seven full-length ORF8 sequences or major ORF8 deletions in 80 evaluated samples. In addition, we could not find any ORF8 A382 during each outbreak of variants. Epitope mapping represents differences between the Alpha and other variants, especially in B cell potential epitopes and HLA I. Conclusion: The immunoinformatic evaluation of ORF8 suggested epitopes represent major differences for the Alpha variant in comparison with other variants. In addition, having mild pathogenesis of the Omicron variant does not seem to be associated with ORF8 alteration by phylogenetic evaluation. Future in-vitro studies for a clear conclusion about the epitope features of ORF8 are required.

HPV infections in retinoblastoma: a systematic review.

BACKGROUND: Retinoblastoma is the most common primary intraocular malignancy in children less than 4 years. Retinoblastoma (RB) contains about 3%-5% of all childhood cancers. Recent studies demonstrated that interacting between RB tumor suppressor and oncoproteins of DNA tumor viruses such as human papillomavirus (HPV). The objective of the current systematic review study was to present conducted studies in the field of HPV infection and its possible role in retinoblastoma. METHODS: For this systematic review, all relevant original research studies were assessed by searching in electronic databases include PubMed, Embase, Scopus, Google Scholar, and Web of Science by using relevant keywords. The study was designed based on the PRISMA criteria. All publications with English literature and original researches are considered for screening. RESULTS: Conducted search results lead to 4070 studies. The title and abstract screening lead to 11 studies. Data extraction was performed on 8 included studies. The prevalence of the HPV was ranged from 0 to 69%, and HPV genotype 16 and 18 were the most detected types. The most used method for the detection of the viruses was PCR, and the most assessed sample was formalin-fixed, paraffin-embedded tissue blocks. CONCLUSION: The association between HPV and retinoblastoma is still inconsistent. The prevalence of the HPV in RB was ranged from 0 to 69%, which indicates a wide range and highlights the importance of further investigation for more accurate statistical of HPV prevalence in RB. Thus, further worldwide studies of larger sample sizes of cohorts should be investigated to clarify this uncertainty.

Evolutionary study of COVID-19, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as an emerging coronavirus: Phylogenetic analysis and literature review.

Since emerging coronaviruses have always become a human health concern globally especially severe acute respiratory syndrome coronavirus 2 (SARS-CoV) and Middle East respiratory syndrome coronavirus and a novel coronavirus was introduced in Wuhan, China, in December 2019 (called SARS-CoV-2), many researchers focused on its epidemics, virological and clinical features. SARS-CoV-2 is classified as Betacoronaviruses genus and Sarbecovirus subgenus (lineage B). The virus shows a great similarity with SARS-CoV and bat SARS-like coronaviruses. In this study, we evaluate SARS-CoV-2 virus phylogeny and evolution by using current virus and related sequences.

Liver Function Tests Profile in COVID-19 Patients at the Admission Time: A Systematic Review of Literature and Conducted Researches.

BACKGROUND: Since the start of coronavirus epidemic in Wuhan, China, in early December 2019, many literatures addressed its epidemiology, virology, and clinical presentation. In this review, we systematically reviewed the published literature in the field of liver function tests profile in COVID-19 patients at the admission time. MATERIALS AND METHODS: systematic literature search were performed in EMBASE, PubMed, Science Direct, and Scopus using "severe acute respiratory syndrome 2 coronavirus (SARS-CoV-2)", "SARS," "SARS-CoV," "coronavirus," "novel coronavirus," "liver," "hepatitis," "Liver function" keywords. The search was limited to range from 2019 to May 19, 2020. RESULTS: From a total 7298 articles, 145 were screened and 18 were eligible for further analysis. The highest rate of liver associated comorbidities was reported 11%. The aspartate aminotransferase (AST) and alanine aminotransferase (ALT) were the most frequent assessed enzymes. Increase in AST level was seen in 10%-53% of patients while The ALT increase was seen in 5%-28% of COVID-19 patients at the admission time. The prothrombin time was increase in 7%-12% of patients and the D-dimer was reports increase in 14%-36% of COVID-19 patients at the admission time. Furthermore, albumin decrease was seen in 6%-98% of COVID-19 patients at the admission time. CONCLUSION: In conclusion, by using the results of study, it could be suggested that the liver function tests assessment is critical assessment in COVID-19 patients at the admission time. This liver function test could be used as potential prognostic factor in COVID-19 severity in future.