Literature DB >> 27431433

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

Elisa Petruccioli1, Assunta Navarra2, Linda Petrone1, Valentina Vanini1, Gilda Cuzzi1, Gina Gualano3, Fabrizio Palmieri3, Enrico Girardi2, Delia Goletti4.   

Abstract

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.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarkers; CD27; Diagnosis; Latent infection; Phenotype; Tuberculosis

Mesh：

Substances：

Year:  2016        PMID： 27431433     DOI： 10.1016/j.diagmicrobio.2016.06.007

Source DB:  PubMed          Journal:  Diagn Microbiol Infect Dis        ISSN： 0732-8893            Impact factor:   2.803


  11 in total

1.  Prospective evaluation of host biomarkers other than interferon gamma in QuantiFERON Plus supernatants as candidates for the diagnosis of tuberculosis in symptomatic individuals.

Authors:  Portia M Manngo; Andrea Gutschmidt; Candice I Snyders; Hygon Mutavhatsindi; Charles M Manyelo; Nonjabulo S Makhoba; Petri Ahlers; Andriette Hiemstra; Kim Stanley; Shirley McAnda; Martin Kidd; Stephanus T Malherbe; Gerhard Walzl; Novel N Chegou
Journal:  J Infect       Date:  2019-07-15       Impact factor: 6.072

2.  Mycobacterium tuberculosis Immune Response in Patients With Immune-Mediated Inflammatory Disease.

Authors:  Elisa Petruccioli; Linda Petrone; Teresa Chiacchio; Chiara Farroni; Gilda Cuzzi; Assunta Navarra; Valentina Vanini; Umberto Massafra; Marianna Lo Pizzo; Giuliana Guggino; Nadia Caccamo; Fabrizio Cantini; Fabrizio Palmieri; Delia Goletti
Journal:  Front Immunol       Date:  2021-08-10       Impact factor: 7.561

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

Authors:  Stefania Parlato; Teresa Chiacchio; Debora Salerno; Linda Petrone; Luciano Castiello; Giulia Romagnoli; Irene Canini; Delia Goletti; Lucia Gabriele
Journal:  PLoS One       Date:  2018-01-10       Impact factor: 3.240

4.  Application of ImmunoScore Model for the Differentiation between Active Tuberculosis and Latent Tuberculosis Infection as Well as Monitoring Anti-tuberculosis Therapy.

Authors:  Yu Zhou; Juan Du; Hong-Yan Hou; Yan-Fang Lu; Jing Yu; Li-Yan Mao; Feng Wang; Zi-Yong Sun
Journal:  Front Cell Infect Microbiol       Date:  2017-10-30       Impact factor: 5.293

Review 5.  Risk of Tuberculosis Reactivation in Patients with Rheumatoid Arthritis, Ankylosing Spondylitis, and Psoriatic Arthritis Receiving Non-Anti-TNF-Targeted Biologics.

Authors:  Fabrizio Cantini; Carlotta Nannini; Laura Niccoli; Linda Petrone; Giuseppe Ippolito; Delia Goletti
Journal:  Mediators Inflamm       Date:  2017-06-01       Impact factor: 4.711

6.  Quantitative and qualitative profiles of circulating monocytes may help identifying tuberculosis infection and disease stages.

Authors:  Marco Pio La Manna; Valentina Orlando; Francesco Dieli; Paola Di Carlo; Antonio Cascio; Gilda Cuzzi; Fabrizio Palmieri; Delia Goletti; Nadia Caccamo
Journal:  PLoS One       Date:  2017-02-16       Impact factor: 3.240

Review 7.  Correlates of tuberculosis risk: predictive biomarkers for progression to active tuberculosis.

Authors:  Elisa Petruccioli; Thomas J Scriba; Linda Petrone; Mark Hatherill; Daniela M Cirillo; Simone A Joosten; Tom H Ottenhoff; Claudia M Denkinger; Delia Goletti
Journal:  Eur Respir J       Date:  2016-11-11       Impact factor: 16.671

8.  Effect of therapy on Quantiferon-Plus response in patients with active and latent tuberculosis infection.

Authors:  Elisa Petruccioli; Teresa Chiacchio; Valentina Vanini; Gilda Cuzzi; Luigi Ruffo Codecasa; Maurizio Ferrarese; Vincenzo Schininà; Fabrizio Palmieri; Giuseppe Ippolito; Delia Goletti
Journal:  Sci Rep       Date:  2018-10-23       Impact factor: 4.379

9.  Active Tuberculosis Is Characterized by Highly Differentiated Effector Memory Th1 Cells.

Authors:  Riccardo Arrigucci; Karim Lakehal; Pooja Vir; Deborah Handler; Amy L Davidow; Rosa Herrera; Julia Dolores Estrada-Guzmán; Yuri Bushkin; Sanjay Tyagi; Alfred A Lardizabal; Maria Laura Gennaro
Journal:  Front Immunol       Date:  2018-09-19       Impact factor: 7.561

10.  Serum Biomarker Profile Including CCL1, CXCL10, VEGF, and Adenosine Deaminase Activity Distinguishes Active From Remotely Acquired Latent Tuberculosis.

Authors:  Eveline M Delemarre; Laura van Hoorn; Aik W J Bossink; Julia Drylewicz; Simone A Joosten; Tom H M Ottenhoff; Onno W Akkerman; Delia Goletti; Elisa Petruccioli; Assunta Navarra; Brigitte T A van den Broek; Sanne P A Paardekooper; Ineke van Haeften; Leo Koenderman; Jan-Willem J Lammers; Steven F T Thijsen; Regina W Hofland; Stefan Nierkens
Journal:  Front Immunol       Date:  2021-10-07       Impact factor: 7.561
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.