Evaluation of differentially expressed genes during replication using gene expression landscape of monkeypox-infected MK2 cells: A bioinformatics and systems biology approach to understanding the genomic pattern of viral replication

In-silico discovery of type-2 diabetes-causing host key genes that are associated with the complexity of monkeypox and repurposing common drugs

Monkeypox (Mpox) is a major global human health threat after COVID-19. Its treatment becomes complicated with type-2 diabetes (T2D). It may happen due to the influence of both disease-causing common host key genes (cHKGs). Therefore, it is necessary to explore both disease-causing cHKGs to reveal their shared pathogenetic mechanisms and candidate drugs as their common treatments without adverse side effect. This study aimed to address these issues. At first, 3 transcriptomics datasets for each of Mpox and 6 T2D datasets were analyzed and found 52 common host differentially expressed genes (cHDEGs) that can separate both T2D and Mpox patients from the control samples. Then top-ranked six cHDEGs (HSP90AA1, B2M, IGF1R, ALD1HA1, ASS1, and HADHA) were detected as the T2D-causing cHKGs that are associated with the complexity of Mpox through the protein-protein interaction network analysis. Then common pathogenetic processes between T2D and Mpox were disclosed by cHKG-set enrichment analysis with biological processes, molecular functions, cellular components and Kyoto Encyclopedia of Genes and Genomes pathways, and regulatory network analysis with transcription factors and microRNAs. Finally, cHKG-guided top-ranked three drug molecules (tecovirimat, vindoline, and brincidofovir) were recommended as the repurposable common therapeutic agents for both Mpox and T2D by molecular docking. The absorption, distribution, metabolism, excretion, and toxicity and drug-likeness analysis of these drug molecules indicated their good pharmacokinetics properties. The 100-ns molecular dynamics simulation results (root mean square deviation, root mean square fluctuation, and molecular mechanics generalized born surface area) with the top-ranked three complexes ASS1-tecovirimat, ALDH1A1-vindoline, and B2M-brincidofovir exhibited good pharmacodynamics properties. Therefore, the results provided in this article might be important resources for diagnosis and therapies of Mpox patients who are also suffering from T2D.

Establishment of a highly sensitive porcine alveolar macrophage cell line for African swine fever virus

African swine fever (ASF) caused by the African swine fever virus (ASFV) is a significant threat to domestic pig populations because of its highly contagious nature and associated morbidity and mortality. The lack of an appropriate cell line for ASFV propagation has significantly hindered the development of a safe and effective vaccine. In this study, we aimed to identify a cell line that is highly receptive to ASFV by evaluating various genes to determine their ability to support ASFV infection and replication. Our investigation revealed the efficient infection of a porcine alveolar macrophage cell line iPAM, upon stable overexpression of the transmembrane protein 107 (TMEM107). An isolated monoclonal cell line iPAMpCDH-TMEM107-B6 that was derived from the parental iPAM cell line exhibited increased susceptibility to ASFV infection. Notably, iPAMpCDH-TMEM107-B6 cells concurrently expressed ASFV B646L and ASFV p30 proteins after infection with ASFV. Biological characterization of iPAMpCDH-TMEM107-B6 revealed an enhanced proliferative capacity without compromised phagocytic function, indicating the retention of key cellular traits following genetic modification. The iPAMpCDH-TMEM107-B6 cell line has significant potential for ASFV research and will facilitate tasks such as isolation, replication, and genetic manipulation. The establishment of ASFV-sensitive cell lines provides an in vitro research platform for ASFV investigations, thereby advancing our understanding of the pathogenic mechanisms and aiding in vaccine development efforts.

The resurgence of monkeypox: Epidemiology, clinical features, and public health implications in the post-smallpox eradication era

The recent global resurgence of Mpox (formerly monkeypox), primarily transmitted via close contact and respiratory droplets, highlights a significant shift in its epidemiology, particularly among men who have sex with men (MSM). This resurgence underscores the need for robust public health responses and improved surveillance. This comprehensive review of current literature focuses on recent outbreaks, virology, and available treatments. Epidemiological data were gathered from various international health reports and analysed to understand transmission dynamics and outbreak patterns. Mpox, characterised by symptoms like fever and rash, has shown variable clinical presentations, particularly among immunocompromised individuals. Recent outbreaks have prompted the development of new diagnostic methods and treatments, including antivirals like Tecovirimat and vaccines such as MVA-BN. Studies have demonstrated the effectiveness of these vaccines in preventing infection, which is crucial for outbreak containment. The global response to the Mpox resurgence requires integrated strategies combining vaccination, antiviral treatments, and public health policies tailored to high-risk populations. Future efforts should focus on vaccine distribution equity and enhancing diagnostic capabilities to effectively manage and mitigate the impact of Mpox.

Mapping the Potential Genes and Associated Pathways Involved in Long COVID-Associated Brain Fog Using Integrative Bioinformatics and Systems Biology Strategy

One of the recent emerging global health issues is long COVID. Among long COVID patients, long COVID-associated brain fog is an important area. We noted an immense gap in understanding the genes and associated pathways involved in long COVID-associated brain fog. Therefore, the study has been selected to understand the genes and pathways involved in patients with long COVID-associated brain fog. A GEO dataset, which was developed through the RNA-seq, was used for the analysis. The dataset encompasses 22 human samples of PBMC. The dataset (human samples of PBMC) was grouped into four cohorts for this study: healthy cohort, COVID convalescent, long COVID, and long COVID brain fog. Therefore, the selection criteria for the 22 PBMC samples were based on the individual infection type (COVID convalescent, long COVID, and long COVID brain fog) and the healthy cohort. Using DEG profile evaluation, we revealed 250 top-ranked DEGs with P values, Padj, baseMean, etc. From the top-ranked DEGs, we listed 24 significant DEGs and some significant DEGs are SMAD3 (P value = 6.34e-07), PF4 (P value = 1.88e-05), TNFAIP3 (P value = 3.70e-06), CXCL5 (P value = 1.22e-08), etc. Among the top-ranked DEGs, we found some genes linked with different biological functions, such as inflammatory cytokine secretion, inflammation, microclot formation, and BBB disruption. From our investigation, we found some genes that are associated with this condition, namely PF4, SMAD3, CXCL5, TNFAIP3, etc. From the literature survey and functional pathway enrichment analysis, we noted the function of the genes such as PF4, SMAD3, and CXCL5. We found that PF4 assists in clot formation, and SMAD3 is associated with neuroinflammation. Similarly, CXCL5 is an inflammatory marker associated with neuroinflammation and BBB damage. At the same time, the study with functional pathway enrichment analysis reflects that DEGs of long COVID-related brain fog might be associated with several biological pathways and processes, cell signatures, and gene-disease associations. It reflects that the disease is a highly complex one. Our study will provide an understanding of the genes and associated pathways in long COVID-related brain fog, which will assist in the next-generation biomarker discovery and therapeutics for these patients.

Entropy-Driven, Integrative Bioinformatics Approaches Reveal the Recent Transmission of the Monkeypox Virus from Nigeria to Multiple Non-African Countries

Monkeypox virus (mpox) has currently affected multiple countries around the globe. This study aims to analyze how the virus spread globally. The study uses entropy-driven bioinformatics in five directions to analyze the 60 full-length complete genomes of mpox. We analyzed the topological entropy distribution of the genomes, principal component analysis (PCA), the dissimilarity matrix, entropy-driven phylogenetics, and genome clustering. The topological entropy distribution showed genome positional entropy. We found five clusters of the mpox genomes through the two PCA, while the three PCA elucidated the clustering events in 3D space. The clustering of genomes was further confirmed through the dissimilarity matrix and phylogenetic analysis which showed the bigger size of Cluster 1 and size similarity between Clusters 2 and 4 as well as Clusters 3 and 5. It corroborated with the phylogenetics of the genomes, where Cluster 1 showed clear segregation from the other four clusters. Finally, the study concluded that the spreading of the mpox is likely to have originated from African countries to the rest of the non-African countries. Overall, the spreading and distribution of the mpox will shed light on its evolution and pathogenicity of the mpox and help to adopt preventive measures to stop the spreading of the virus.

A review on computational studies and bioinformatics analysis of potential drugs against monkeypox virus

Monkeypox, a viral disease that is caused by monkeypox virus and occurs mainly in central and western Africa. However, recently it is spreading worldwide and took the focus of the scientific world towards it. Therefore, we made an attempt to cluster all the related information that may make it easy for the researchers to get the information easily and carry out their research smoothly to find prophylaxis against this emerging virus. There are very few researches found available on monkeypox. Almost all the studies were focused on smallpox virus and the recommended vaccines and therapeutics for monkeypox virus were originally developed for smallpox virus. Though these are recommended for emergency cases, they are not fully effective and specific against monkeypox. For this, here we also took the help of bioinformatics tools to screen potential drug candidates against this growing burden. Some potential antiviral plant metabolites, inhibitors and available drugs were scrutinized that can block the essential survival proteins of this virus. All the compounds Amentoflavone, Pseudohypericin, Adefovirdipiboxil, Fialuridin, Novobiocin and Ofloxacin showed elite binding efficiency with suitable ADME properties and Amentoflavone and Pseudohypericin showed stability in MD simulation study indicating their potency as probable drugs against this emerging virus.Communicated by Ramaswamy H. Sarma.

Gene expression profiling and the isocitrate dehydrogenase mutational landscape of temozolomide‑resistant glioblastoma

Glioblastoma multiforme (GBM) is an aggressive brain cancer that occurs more frequently than other brain tumors. The present study aimed to reveal a novel mechanism of temozolomide resistance in GBM using bioinformatics and wet lab analyses, including meta-Z analysis, Kaplan-Meier survival analysis, protein-protein interaction (PPI) network establishment, cluster analysis of co-expressed gene networks, and hierarchical clustering of upregulated and downregulated genes. Next-generation sequencing and quantitative PCR analyses revealed downregulated [tyrosine kinase with immunoglobulin and epidermal growth factor homology domains 1 (TIE1), calcium voltage-gated channel auxiliary subunit α2Δ1 (CACNA2D1), calpain 6 (CAPN6) and a disintegrin and metalloproteinase with thrombospondin motifs 6 (ADAMTS6)] and upregulated [serum amyloid (SA)A1, SAA2, growth differentiation factor 15 (GDF15) and ubiquitin specific peptidase 26 (USP26)] genes. Different statistical models were developed for these genes using the Z-score for P-value conversion, and Kaplan-Meier plots were constructed using several patient cohorts with brain tumors. The highest number of nodes was observed in the PPI network was for ADAMTS6 and TIE1. The PPI network model for all genes contained 35 nodes and 241 edges. Immunohistochemical staining was performed using isocitrate dehydrogenase (IDH)-wild-type or IDH-mutant GBM samples from patients and a significant upregulation of TIE1 (P<0.001) and CAPN6 (P<0.05) protein expression was demonstrated in IDH-mutant GBM in comparison with IDH-wild-type GBM. Structural analysis revealed an IDH-mutant model demonstrating the mutant residues (R132, R140 and R172). The findings of the present study will help the future development of novel biomarkers and therapeutics for brain tumors.

Blueprint of differentially expressed genes reveals the dynamic gene expression landscape and the gender biases in long COVID

BACKGROUND

Long COVID has appeared as a significant global health issue and is an extra burden to the healthcare system. It affects a considerable number of people throughout the globe. However, substantial research gaps have been noted in understanding the mechanism and genomic landscape during the long COVID infection. A study has aimed to identify the differentially expressed genes (DEGs) in long COVID patients to fill the gap.

METHODS

We used the RNA-seq GEO dataset acquired through the GPL20301 Illumina HiSeq 4000 platform. The dataset contains 36 human samples derived from PBMC (Peripheral blood mononuclear cells). Thirty-six human samples contain 13 non-long COVID individuals' samples and 23 long COVID individuals' samples, considered the first direction analysis. Here, we performed two-direction analyses. In the second direction analysis, we divided the dataset gender-wise into four groups: the non-long COVID male group, the long COVID male group, the non-long COVID female group, and the long COVID female group.

RESULTS

In the first analysis, we found no gene expression. In the second analysis, we identified 250 DEGs. During the DEG profile analysis of the non-long COVID male group and the long COVID male group, we found three upregulated genes: IGHG2, IGHG4, and MIR8071-2. Similarly, the analysis of the non-long COVID female group and the long COVID female group reveals eight top-ranking genes. It also indicates the gender biases of differentially expressed genes among long COVID individuals. We found several DEGs involved in PPI and co-expression network formation. Similarly, cluster enrichment and gene list enrichment analysis were performed, suggesting several genes are involved in different biological pathways or processes.

CONCLUSIONS

This study will help better understand the gene expression landscape in long COVID. However, it might help the discovery and development of therapeutics for long COVID.

Reverse Zoonotic Transmission of SARS-CoV-2 and Monkeypox Virus: A Comprehensive Review

Reverse zoonosis reveals the process of transmission of a pathogen through the human-animal interface and the spillback of the zoonotic pathogen. In this article, we methodically demonstrate various aspects of reverse zoonosis, with a comprehensive discussion of SARS-CoV-2 and MPXV reverse zoonosis. First, different components of reverse zoonosis, such as humans, different pathogens, and numerous animals (poultry, livestock, pets, wild animals, and zoo animals), have been demonstrated. Second, it explains the present status of reverse zoonosis with different pathogens during previous occurrences of various outbreaks, epidemics, and pandemics. Here, we present 25 examples from literature. Third, using several examples, we comprehensively illustrate the present status of the reverse zoonosis of SARS-CoV-2 and MPXV. Here, we have provided 17 examples of SARS-CoV-2 reverse zoonosis and two examples of MPXV reverse zoonosis. Fourth, we have described two significant aspects of reverse zoonosis: understanding the fundamental aspects of spillback and awareness. These two aspects are required to prevent reverse zoonosis from the current infection with two significant viruses. Finally, the One Health approach was discussed vividly, where we urge scientists from different areas to work collaboratively to solve the issue of reverse zoonosis.

Differences in pathogenicity among the mpox virus clades: impact on drug discovery and vaccine development

Since May 2022, mpox virus (MPXV) has attracted considerable attention due to a multi-country outbreak. Marked differences in epidemiology, transmission, and pathology between the 2022 global mpox outbreak (clade IIb) and classical mpox disease, endemic in Africa (clades I and IIa) have been highlighted. MPXV genome analysis has identified the genomic changes characterizing clade IIb and the drivers of MPXV rapid evolution. Although mpox cases have largely declined, MPXV cryptic transmission and microevolution continues, which may lead to an MPXV of unpredictable pathogenicity. Vaccines and antivirals developed against variola virus, the agent that caused the extinguished plague smallpox, have been used to contain the 2022 mpox outbreak. In this review article, recent findings on MPXV origin and evolution and relevant models able to recapitulate differences in MPXV pathogenicity, which are important for drug and vaccine development, are discussed.