Novel therapeutic approaches toward <i>Hantaan</i> virus and its clinical features’ similarity with COVID-19

Singh, Harvinder; Kaur, Harpinder; Medhi, Bikash

doi:10.4103/ijp.ijp_1001_20

Cited by 3 publications

(1 citation statement)

References 53 publications

(43 reference statements)

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“…Recent studies reported that patients with HFRS who also had COVID-19 had more severe symptoms and longer hospital stays than those with HFRS alone (Singh et al, 2020;Subramaniam et al, 2022). Their study also reported a higher mortality rate among HFRS patients with COVID-19.…”

Section: Introductionmentioning

confidence: 95%

Discovering common pathogenic processes between COVID-19 and HFRS by integrating RNA-seq differential expression analysis with machine learning

et al. 2023

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Zoonotic virus spillover in human hosts including outbreaks of Hantavirus and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) imposes a serious impact on the quality of life of patients. Recent studies provide a shred of evidence that patients with Hantavirus-caused hemorrhagic fever with renal syndrome (HFRS) are at risk of contracting SARS-CoV-2. Both RNA viruses shared a higher degree of clinical features similarity including dry cough, high fever, shortness of breath, and certain reported cases with multiple organ failure. However, there is currently no validated treatment option to tackle this global concern. This study is attributed to the identification of common genes and perturbed pathways by combining differential expression analysis with bioinformatics and machine learning approaches. Initially, the transcriptomic data of hantavirus-infected peripheral blood mononuclear cells (PBMCs) and SARS-CoV-2 infected PBMCs were analyzed through differential gene expression analysis for identification of common differentially expressed genes (DEGs). The functional annotation by enrichment analysis of common genes demonstrated immune and inflammatory response biological processes enriched by DEGs. The protein–protein interaction (PPI) network of DEGs was then constructed and six genes named RAD51, ALDH1A1, UBA52, CUL3, GADD45B, and CDKN1A were identified as the commonly dysregulated hub genes among HFRS and COVID-19. Later, the classification performance of these hub genes were evaluated using Random Forest (RF), Poisson Linear Discriminant Analysis (PLDA), Voom-based Nearest Shrunken Centroids (voomNSC), and Support Vector Machine (SVM) classifiers which demonstrated accuracy >70%, suggesting the biomarker potential of the hub genes. To our knowledge, this is the first study that unveiled biological processes and pathways commonly dysregulated in HFRS and COVID-19, which could be in the next future used for the design of personalized treatment to prevent the linked attacks of COVID-19 and HFRS.

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Section: Introductionmentioning

confidence: 95%

Discovering common pathogenic processes between COVID-19 and HFRS by integrating RNA-seq differential expression analysis with machine learning

et al. 2023

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Lessons Learned From the U.S. Military Experience With Hantavirus During the Korean War

et al. 2022

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Introduction The Korean War (1950-1953) consisted of two phases. The first was a rapid mobile phase, and the second was a slow and stationary phase. During the stationary phase, approximately 3,000 UN troops became infected with a then unknown agent. The resulting illness began with flu-like symptoms and often progressed to a severe hemorrhagic fever leading to kidney failure and death. However, the cause was not to be identified until well over 20 years following the conclusion of the war when Dr. Ho Wang Lee succeeded in isolating Hantavirus from field rodents. The U.S. Military experience with Hantavirus during the Korean War is a case study of the potential impact of war-related environmental change on disease transmission. The lessons learned from this experience should inform future military medical planning and serve as a reminder of the impact that an unknown agent can have on military operations. Materials and Methods A literature review of all available records with respect to the U.S. Military experience with Hantavirus was conducted. PubMed was the primary search engine used for this review. However, primary literature and historical accounts were also evaluated. All records were examined for environmental, epidemiological, and public health data regarding hemorrhagic fever outbreaks among U.S. forces during the Korean War. The quantitative and qualitative data from these sources were analyzed and evaluated within the context of military medical planning and force health protection to derive lessons learned that should be applied to the management and mitigation of viral disease in future wars. Results Widespread deforestation resulting from war-related efforts most likely played a significant role in the outbreaks of Hantavirus among UN forces during the war. A lack of cultural literacy and an overreliance on erroneous assumptions most likely delayed the identification of the true causative agent. It is conceivable that these delays led to an increased casualty rate and that they had a negative impact on military operations during the war. Conclusions A basic understanding of the ecological mechanisms that maintain species diversity in the local environment coupled with an appreciation for the impact of environmental change on this diversity is of paramount importance for the prevention and mitigation of viral disease outbreaks in the deployed setting. Military medical planners should become familiar with the medical literature of the region in which they will be operating as this literature often describes the agents that will most likely be encountered by U.S. forces.

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Therapeutic prospects of ceRNAs in COVID-19

Liu

Zhang²,

Chen³

et al. 2022

Front. Cell. Infect. Microbiol.

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Since the end of 2019, COVID-19 caused by SARS-CoV-2 has spread worldwide, and the understanding of the new coronavirus is in a preliminary stage. Currently, immunotherapy, cell therapy, antiviral therapy, and Chinese herbal medicine have been applied in the clinical treatment of the new coronavirus; however, more efficient and safe drugs to control the progress of the new coronavirus are needed. Long noncoding RNAs (lncRNAs), microRNAs (miRNAs), and circular RNAs (circRNAs) may provide new therapeutic targets for novel coronavirus treatments. The first aim of this paper is to review research progress on COVID-19 in the respiratory, immune, digestive, circulatory, urinary, reproductive, and nervous systems. The second aim is to review the body systems and potential therapeutic targets of lncRNAs, miRNAs, and circRNAs in patients with COVID-19. The current research on competing endogenous RNA (ceRNA) (lncRNA-miRNA-mRNA and circRNA-miRNA-mRNA) in SARS-CoV-2 is summarized. Finally, we predict the possible therapeutic targets of four lncRNAs, MALAT1, NEAT1, TUG1, and GAS5, in COVID-19. Importantly, the role of PTEN gene in the ceRNA network predicted by lncRNA MALAT1 and lncRNA TUG1 may help in the discovery and clinical treatment of effective drugs for COVID-19.

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Novel therapeutic approaches toward Hantaan virus and its clinical features’ similarity with COVID-19

Cited by 3 publications

References 53 publications

Discovering common pathogenic processes between COVID-19 and HFRS by integrating RNA-seq differential expression analysis with machine learning

Discovering common pathogenic processes between COVID-19 and HFRS by integrating RNA-seq differential expression analysis with machine learning

Lessons Learned From the U.S. Military Experience With Hantavirus During the Korean War

Therapeutic prospects of ceRNAs in COVID-19

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