Unknown

Dataset Information

0

Serum IP-10 and IL-7 levels are associated with disease severity of coronavirus disease 2019.

ABSTRACT: We quantified the serum levels of 34 cytokines/chemokines in 30 patients with SARS-CoV-2 infection. Elevated levels of IP-10 and IL-7 were detected in the acute and convalescent stages of the infection and were highly associated with disease severity.

SUBMITTER: Wang GL 

PROVIDER: S-EPMC7973056 | biostudies-literature |

REPOSITORIES: biostudies-literature

Json Xml

Similar Datasets

Unknown Serum β2-microglobulin levels in Coronavirus disease 2019 (Covid-19): Another prognosticator of disease severity?
| S-EPMC7920360 | biostudies-literature
Unknown Cytokine network in adults with falciparum Malaria and HIV-1: increased IL-8 and IP-10 levels are associated with disease severity.
| S-EPMC4263737 | biostudies-literature
Unknown Plasma interferon-γ-inducible protein 10 (IP-10) levels correlate with disease severity and paradoxical reactions in extrapulmonary tuberculosis.
| S-EPMC7605464 | biostudies-literature
Unknown IP-10 and MCP-1 as biomarkers associated with disease severity of COVID-19.
| S-EPMC7594996 | biostudies-literature
Unknown Longitudinal IP-10 Serum Levels Are Associated with the Course of Disease Activity and Remission in Patients with Rheumatoid Arthritis.
| S-EPMC5583474 | biostudies-literature
Unknown Metabolic associated fatty liver disease increases coronavirus disease 2019 disease severity in nondiabetic patients.
| S-EPMC7280625 | biostudies-literature
Unknown Eosinopenia is associated with greater severity in patients with coronavirus disease 2019.
| S-EPMC7323424 | biostudies-literature
Unknown Evaluation of IL-28B polymorphisms and serum IP-10 in hepatitis C infected chimpanzees.
| S-EPMC3484116 | biostudies-literature
Unknown Profiling serum cytokines in COVID-19 patients reveals IL-6 and IL-10 are disease severity predictors.
| S-EPMC7473317 | biostudies-literature
Unknown Relationship between disease severity and serum IL-6 levels in COVID-19 anosmia.
| S-EPMC7591946 | biostudies-literature