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1.
Nature ; 597(7877): 539-543, 2021 09.
Article in English | MEDLINE | ID: mdl-34526718

ABSTRACT

Seven years after the declaration of the first epidemic of Ebola virus disease in Guinea, the country faced a new outbreak-between 14 February and 19 June 2021-near the epicentre of the previous epidemic1,2. Here we use next-generation sequencing to generate complete or near-complete genomes of Zaire ebolavirus from samples obtained from 12 different patients. These genomes form a well-supported phylogenetic cluster with genomes from the previous outbreak, which indicates that the new outbreak was not the result of a new spillover event from an animal reservoir. The 2021 lineage shows considerably lower divergence than would be expected during sustained human-to-human transmission, which suggests a persistent infection with reduced replication or a period of latency. The resurgence of Zaire ebolavirus from humans five years after the end of the previous outbreak of Ebola virus disease reinforces the need for long-term medical and social care for patients who survive the disease, to reduce the risk of re-emergence and to prevent further stigmatization.


Subject(s)
Disease Outbreaks , Ebolavirus/genetics , Ebolavirus/isolation & purification , Hemorrhagic Fever, Ebola/epidemiology , Hemorrhagic Fever, Ebola/virology , Models, Biological , Animals , Democratic Republic of the Congo/epidemiology , Disease Outbreaks/statistics & numerical data , Ebolavirus/classification , Female , Guinea/epidemiology , Hemorrhagic Fever, Ebola/transmission , High-Throughput Nucleotide Sequencing , Humans , Male , Persistent Infection/virology , Phylogeny , Survivors , Time Factors , Viral Zoonoses/transmission , Viral Zoonoses/virology
2.
PLoS Negl Trop Dis ; 11(5): e0005645, 2017 May.
Article in English | MEDLINE | ID: mdl-28558022

ABSTRACT

BACKGROUND: Human Ebola infection is characterized by a paralysis of the immune system. A signature of αß T cells in fatal Ebola infection has been recently proposed, while the involvement of innate immune cells in the protection/pathogenesis of Ebola infection is unknown. Aim of this study was to analyze γδ T and NK cells in patients from the Ebola outbreak of 2014-2015 occurred in West Africa, and to assess their association with the clinical outcome. METHODOLOGY/PRINCIPAL FINDINGS: Nineteen Ebola-infected patients were enrolled at the time of admission to the Ebola Treatment Centre in Guinea. Patients were divided in two groups on the basis of the clinical outcome. The analysis was performed by using multiparametric flow cytometry established by the European Mobile Laboratory in the field. A low frequency of Vδ2 T-cells was observed during Ebola infection, independently from the clinical outcome. Moreover, Vδ2 T-cells from Ebola patients massively expressed CD95 apoptotic marker, suggesting the involvement of apoptotic mechanisms in Vδ2 T-cell loss. Interestingly, Vδ2 T-cells from survivors expressed an effector phenotype and presented a lower expression of the CTLA-4 exhaustion marker than fatalities, suggesting a role of effector Vδ2 T-cells in the protection. Furthermore, patients with fatal Ebola infection were characterized by a lower NK cell frequency than patients with non fatal infection. In particular, both CD56bright and CD56dim NK frequency were very low both in fatal and non fatal infections, while a higher frequency of CD56neg NK cells was associated to non-fatal infections. Finally, NK activation and expression of NKp46 and CD158a were independent from clinical outcome. CONCLUSIONS/SIGNIFICANCES: Altogether, the data suggest that both effector Vδ2 T-cells and NK cells may play a role in the complex network of protective response to EBOV infection. Further studies are required to characterize the protective effector functions of Vδ2 and NK cells.


Subject(s)
Hemorrhagic Fever, Ebola/immunology , Hemorrhagic Fever, Ebola/mortality , Killer Cells, Natural/immunology , Receptors, Antigen, T-Cell, gamma-delta/immunology , T-Lymphocyte Subsets/immunology , Biomarkers/metabolism , CD56 Antigen/metabolism , CTLA-4 Antigen/metabolism , Databases, Factual , Ebolavirus , Female , Flow Cytometry , Guinea/epidemiology , Humans , Lymphocyte Activation/immunology , Male , Natural Cytotoxicity Triggering Receptor 1/metabolism , Receptors, KIR2DL1/metabolism , Viral Load , fas Receptor/metabolism
3.
Nature ; 533(7601): 100-4, 2016 May 05.
Article in English | MEDLINE | ID: mdl-27147028

ABSTRACT

Despite the magnitude of the Ebola virus disease (EVD) outbreak in West Africa, there is still a fundamental lack of knowledge about the pathophysiology of EVD. In particular, very little is known about human immune responses to Ebola virus. Here we evaluate the physiology of the human T cell immune response in EVD patients at the time of admission to the Ebola Treatment Center in Guinea, and longitudinally until discharge or death. Through the use of multiparametric flow cytometry established by the European Mobile Laboratory in the field, we identify an immune signature that is unique in EVD fatalities. Fatal EVD was characterized by a high percentage of CD4(+) and CD8(+) T cells expressing the inhibitory molecules CTLA-4 and PD-1, which correlated with elevated inflammatory markers and high virus load. Conversely, surviving individuals showed significantly lower expression of CTLA-4 and PD-1 as well as lower inflammation, despite comparable overall T cell activation. Concomitant with virus clearance, survivors mounted a robust Ebola-virus-specific T cell response. Our findings suggest that dysregulation of the T cell response is a key component of EVD pathophysiology.


Subject(s)
Ebolavirus/immunology , Hemorrhagic Fever, Ebola/immunology , Hemorrhagic Fever, Ebola/physiopathology , T-Lymphocytes/immunology , CTLA-4 Antigen/metabolism , Female , Flow Cytometry , Guinea/epidemiology , Hemorrhagic Fever, Ebola/mortality , Humans , Inflammation Mediators/immunology , Longitudinal Studies , Lymphocyte Activation , Male , Patient Discharge , Programmed Cell Death 1 Receptor/metabolism , Survivors , T-Lymphocytes/metabolism , Viral Load
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