7 results match your criteria: ""L. Spallanzani" National Institute for Infectious Diseases (INMI) IRCCS[Affiliation]"

Effect of HIV-infection on QuantiFERON-plus accuracy in patients with active tuberculosis and latent infection.

J Infect

May 2020

Translational Research Unit, Department of Epidemiology and Preclinical Research, "L. Spallanzani" National Institute for Infectious Diseases (INMI), IRCCS, Via Portuense 292, 00149 Rome, Italy. Electronic address:

Objective: HIV-infection increases the risk to progress to active-tuberculosis (TB). Detection of latent TB infection (LTBI) is needed to eventually propose preventive-therapy and reduce TB reservoir. QuantiFERON-TB Plus (QFT-Plus)-test identifies LTBI.

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First description of agonist and antagonist IP-10 in urine of patients with active TB.

Int J Infect Dis

January 2019

Translational Research Unit, Department of Epidemiology and Preclinical Research, "L. Spallanzani" National Institute for Infectious Diseases (INMI)-IRCCS, Rome, Italy. Electronic address:

Objectives: Biomarkers for tuberculosis (TB) diagnosis and clinical management are needed to defeat TB. In chronic hepatitis, patients not responding to interferon/ribavirin treatment had high levels of an antagonist form of IP-10. Recently, antagonist IP-10 has been shown to be involved also in TB pathogenesis.

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Impaired IFN-α-mediated signal in dendritic cells differentiates active from latent tuberculosis.

PLoS One

January 2018

Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Rome, Italy.

Individuals exposed to Mycobacterium tuberculosis (Mtb) may be infected and remain for the entire life in this condition defined as latent tuberculosis infection (LTBI) or develop active tuberculosis (TB). Among the multiple factors governing the outcome of the infection, dendritic cells (DCs) play a major role in dictating antibacterial immunity. However, current knowledge on the role of the diverse components of human DCs in shaping specific T-cell response during Mtb infection is limited.

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Use of several immunological markers to model the probability of active tuberculosis.

Diagn Microbiol Infect Dis

October 2016

Translational Research Unit, Department of Epidemiology, Preclinical Research and Advanced Diagnostics, "L. Spallanzani" National Institute for Infectious Diseases (INMI) IRCCS, Via Portuense 292, Rome, 00149, Italy. Electronic address:

Blood-based biomarkers tests are attractive alternative for diagnosing tuberculosis to assays depending on mycobacteria detection. Given several immunological markers we used logistic regression to model the probability of active tuberculosis in a cohort of patients with active or latent tuberculosis, showing an increased accuracy in distinguishing active from latent tuberculosis.

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Assessment of CD27 expression as a tool for active and latent tuberculosis diagnosis.

J Infect

November 2015

Translational Research Unit, Department of Epidemiology and Preclinical Research, "L. Spallanzani" National Institute for Infectious Diseases (INMI) IRCCS, Via Portuense 292, Rome 00149, Italy. Electronic address:

Unlabelled: There are still no reliable tests to distinguish active tuberculosis (TB) from latent TB infection (LTBI). Assessment of CD27 modulation on CD4⁺ T-cells has been suggested as a tool to diagnose different TB stages.

Objectives: To use several cytometric approaches to evaluate CD27 expression on Mycobacterium tuberculosis (Mtb)-specific CD4⁺ T-cells to differentiate TB stages.

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This study was aimed at establishing the genetic heterogeneity of influenza virus haemagglutinin (HA) gene quasi-species and the polymorphisms at codon 222, by application of ultra-deep pyrosequencing (UDPS) to respiratory samples from patients hospitalized for influenza A(H1N1)pdm09 infection, presenting with severe or moderate-mild disease. HA diversity was significantly higher in samples collected from patients with severe manifestations than in those from patients with moderate-mild manifestations (p 0.02).

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Molecular testing of 270 consecutive nasopharyngeal swab samples taken in May and June 2009 and 274 samples from patients hospitalized between July and December 2009 showed similar findings of respiratory viruses, with influenza A pandemic virus H1N1/09 being the most represented, followed by human parainfluenza virus type 3 and rhinoviruses. Statistical analyses suggested virus cocirculation in the absence of viral interference.

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