Poor virus-specific T-cell responses early after tick-borne encephalitis virus infection correlate with disease severity

View Dataset
Aregay, Amare;Slunečko, Jan;Bogovic, Petra;Korva, Miša;Rus, Katarina Resman;Knap, Nataša;Beicht, Jana;Kubinski, Mareike;Saletti, Giulietta;Steffen, Imke;Strle, Franc;Avšič-Županc, Tatjana;Osterhaus, Albert D.M.E.;Rimmelzwaan, Guus F.

Description

Tick-borne encephalitis virus (TBEV) infection may cause acute central nervous system inflammation varying in clinical manifestations and severity. A possible correlation of TBEV-specific antibody and cell-mediated immune responses, shortly after infection, with clinical manifestations, severity and long-term outcome has been poorly investigated. In a cohort of thirty early tick-borne encephalitis (TBE) patients, we assessed the magnitude, specificity and functional properties of TBEV-specific T-cell and antibody responses. These responses early during disease were assessed in view of clinical manifestations, severity and long-term outcome. TBEV-specific T-cell responses to C, E, NS1, and NS5 proteins were significantly lower in patients with severe acute illness than in patients with mild TBE. Lower T-cell responses to E, NS1, and NS5 proteins also correlated with the development of meningoencephalomyelitis. Virus-specific antibody titres early after infection did not correlate with disease severity, clinical manifestations, or long-term outcome in this study, possibly due to the small number of patients of which matching serum and peripheral blood mononuclear cells were available. The findings suggest that virus-specific T cells afford a certain degree of protection against the development of severe TBEV-induced disease.

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.0

FAIR Score

85%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Taylor & Francis

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Surgery

Field

Medicine

Domain

Health Sciences

Confidence Score

60%

Source

Scholar Data Model

Keywords

MedicineMicrobiologyFOS: Biological sciencesCell BiologyGeneticsMolecular BiologyNeuroscienceBiotechnologyImmunologyFOS: Clinical medicineCancerMental HealthHematologyInfectious DiseasesFOS: Health sciencesPlant BiologyVirologyComputational Biology

Normalization Factors

FT

44.23

CTw

1.00

MTw

1.00