Marburg virus pathogenesis – differences and similarities in humans and animal models

Shifflett, Kyle; Marzi, Andrea

doi:10.1186/s12985-019-1272-z

Cited by 63 publications

(64 citation statements)

References 78 publications

(123 reference statements)

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“…4 and 5), Marburg and Ebola are also similar to each other. Because Marburg and Ebola are from Filoviridae family virus families 26,27 , our PCA and t-SNE are in line with literature. Our results can provide insights in future novel viruses to enable more rapid treatment and vaccine development.…”

Section: Discussionsupporting

confidence: 85%

Machine Learning Analysis of Virus based on Transmission Electron Microscopy Images: Application to SARS-CoV-2

Dabiri

Kassab

2020

Preprint

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The goal of this paper was to develop a machine learning (ML) platform for categorization of viruses using transmission electron microscopy (TEM) images. More efficient pathogenesis, treatment and vaccine development strategies become possible once the virus family is identified. We used three deep learning (DL) pretrained models namely AlexNet, VGG16 and SquezzeNet. The classifier portion of the models was modified and trained for the available virus dataset. We used 20% of the images (320) for testing the DL models. The dataset included TEM images from 16 virus families including novel corona virus (SARS-CoV-2). We also used two unsupervised methods to analyze image clusters: principal component analysis (PCA) and t- distributed stochastic neighbor embedding (t-SNE). The results from PCA and t-SNE were visualized based on two components. The AlexNet, VGG16 and SqueezeNet models were able to predict the categorization of test images with accuracy 77.8±4.5%, 75.3±4.7% and 77.8±4.5%, respectively. The receiver operating characteristic (ROC) curves had area under curve (AUC) greater than 0.9. Our PCA and t-STE results suggested SARS-CoV-2 is closest to Influenza family of viruses. Using DL models, TEM images can be classified into virus families. This ML approach may lead to more accurate and faster virus TEM image classification tools, which is particularly important for pandemic situations such as with the current SARS-CoV-2 crisis.

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Section: Discussionsupporting

confidence: 85%

Machine Learning Analysis of Virus based on Transmission Electron Microscopy Images: Application to SARS-CoV-2

Dabiri

Kassab

2020

Preprint

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“…The late organ phase, which usually starts around day 13, is when most of the neurologic symptoms manifest, with reported convulsions, restlessness, obtundation, confusion, dementia, or coma ( 91 ). Patients in Germany were noted to have sullen, negative, and slightly aggressive behaviors ( 94 ).…”

Section: Resultsmentioning

confidence: 99%

“…Marburg virus may directly infect the CNS. Autopsies have shown glial nodule encephalitis in three of five cases in Germany ( 94 ). Neuropathology of hamster models have shown edema, enlargement of blood vessels in the brain, intracranial hemorrhage, and encephalitic lesions ( 91 ).…”

Section: Resultsmentioning

confidence: 99%

Neurologic Manifestations of the World Health Organization's List of Pandemic and Epidemic Diseases

et al. 2021

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The World Health Organization (WHO) monitors the spread of diseases globally and maintains a list of diseases with epidemic or pandemic potential. Currently listed diseases include Chikungunya, cholera, Crimean-Congo hemorrhagic fever, Ebola virus disease, Hendra virus infection, influenza, Lassa fever, Marburg virus disease, Neisseria meningitis, MERS-CoV, monkeypox, Nipah virus infection, novel coronavirus (COVID-19), plague, Rift Valley fever, SARS, smallpox, tularemia, yellow fever, and Zika virus disease. The associated pathogens are increasingly important on the global stage. The majority of these diseases have neurological manifestations. Those with less frequent neurological manifestations may also have important consequences. This is highlighted now in particular through the ongoing COVID-19 pandemic and reinforces that pathogens with the potential to spread rapidly and widely, in spite of concerted global efforts, may affect the nervous system. We searched the scientific literature, dating from 1934 to August 2020, to compile data on the cause, epidemiology, clinical presentation, neuroimaging features, and treatment of each of the diseases of epidemic or pandemic potential as viewed through a neurologist's lens. We included articles with an abstract or full text in English in this topical and scoping review. Diseases with epidemic and pandemic potential can be spread directly from human to human, animal to human, via mosquitoes or other insects, or via environmental contamination. Manifestations include central neurologic conditions (meningitis, encephalitis, intraparenchymal hemorrhage, seizures), peripheral and cranial nerve syndromes (sensory neuropathy, sensorineural hearing loss, ophthalmoplegia), post-infectious syndromes (acute inflammatory polyneuropathy), and congenital syndromes (fetal microcephaly), among others. Some diseases have not been well-characterized from a neurological standpoint, but all have at least scattered case reports of neurological features. Some of the diseases have curative treatments available while in other cases, supportive care remains the only management option. Regardless of the pathogen, prompt, and aggressive measures to control the spread of these agents are the most important factors in lowering the overall morbidity and mortality they can cause.

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“…These analytes are of particular importance when modeling conditions in which identification of coagulation abnormalities aids in diagnosis or guides treatment. Guinea pigs are commonly used for modeling VHF disease, and coagulation values were reported in many of these studies [10,[32][33][34][35]. Strain 13/N guinea pigs are used frequently in arenavirus research [10,[36][37][38][39][40], but also to study other VHFs such as Ebola virus disease [41].…”

Section: Discussionmentioning

confidence: 99%

Prothrombin Time, Activated Partial Thromboplastin Time, and Fibrinogen Reference Intervals for Inbred Strain 13/N Guinea Pigs (Cavia porcellus) and Validation of Low Volume Sample Analysis

et al. 2020

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Inbred strain 13/N guinea pigs are used as small animal models for the study of hemorrhagic fever viruses. Coagulation abnormalities, including prolonged clotting times and bleeding, are characteristic of hemorrhagic fever in humans; patients often meet criteria for disseminated intravascular coagulation (DIC). Comprehensively evaluating coagulation function is critical in model development and studies of viral pathogenesis and therapeutic efficacy. Here, using the VetScan VSpro veterinary point-of-care platform, we developed reference intervals in both juvenile and adult strain 13/N guinea pigs for three coagulation parameters: prothrombin time (PT), activated partial thromboplastin time (aPTT), and fibrinogen. In addition, for situations or species with limited availability of blood for clinical analysis, we investigated the validity of a modified collection approach for low-volume (0.1 mL) blood sample analysis of PT and aPTT.

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Marburg virus pathogenesis – differences and similarities in humans and animal models

Cited by 63 publications

References 78 publications

Machine Learning Analysis of Virus based on Transmission Electron Microscopy Images: Application to SARS-CoV-2

Machine Learning Analysis of Virus based on Transmission Electron Microscopy Images: Application to SARS-CoV-2

Neurologic Manifestations of the World Health Organization's List of Pandemic and Epidemic Diseases

Prothrombin Time, Activated Partial Thromboplastin Time, and Fibrinogen Reference Intervals for Inbred Strain 13/N Guinea Pigs (Cavia porcellus) and Validation of Low Volume Sample Analysis

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