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Serum Biomarker Profile Including CCL1, CXCL10, VEGF, and Adenosine Deaminase Activity Distinguishes Active From Remotely Acquired Latent Tuberculosis.
Delemarre, Eveline M; van Hoorn, Laura; Bossink, Aik W J; Drylewicz, Julia; Joosten, Simone A; Ottenhoff, Tom H M; Akkerman, Onno W; Goletti, Delia; Petruccioli, Elisa; Navarra, Assunta; van den Broek, Brigitte T A; Paardekooper, Sanne P A; van Haeften, Ineke; Koenderman, Leo; Lammers, Jan-Willem J; Thijsen, Steven F T; Hofland, Regina W; Nierkens, Stefan.
Afiliação
  • Delemarre EM; Center for Translational Immunology (CTI), University Medical Center Utrecht, Utrecht, Netherlands.
  • van Hoorn L; Platform Immune Monitoring (PIM), University Medical Center Utrecht, Utrecht, Netherlands.
  • Bossink AWJ; Center for Translational Immunology (CTI), University Medical Center Utrecht, Utrecht, Netherlands.
  • Drylewicz J; Department of Respiratory Medicine and Tuberculosis, University Medical Center Utrecht, Utrecht, Netherlands.
  • Joosten SA; Department of Respiratory Medicine and Tuberculosis, Diakonessenhuis, Utrecht, Netherlands.
  • Ottenhoff THM; Center for Translational Immunology (CTI), University Medical Center Utrecht, Utrecht, Netherlands.
  • Akkerman OW; Department of Infectious Diseases, Leiden University Medical Center, Leiden, Netherlands.
  • Goletti D; Department of Infectious Diseases, Leiden University Medical Center, Leiden, Netherlands.
  • Petruccioli E; Department of Respiratory Medicine and Tuberculosis, University Medical Center Groningen, Groningen, Netherlands.
  • Navarra A; Translational Research Unit, Department of Epidemiology and Preclinical Research, National Institute for Infectious Diseases-IRCCS L. Spallanzani, Rome, Italy.
  • van den Broek BTA; Translational Research Unit, Department of Epidemiology and Preclinical Research, National Institute for Infectious Diseases-IRCCS L. Spallanzani, Rome, Italy.
  • Paardekooper SPA; Translational Research Unit, Department of Epidemiology and Preclinical Research, National Institute for Infectious Diseases-IRCCS L. Spallanzani, Rome, Italy.
  • van Haeften I; Center for Translational Immunology (CTI), University Medical Center Utrecht, Utrecht, Netherlands.
  • Koenderman L; Center for Translational Immunology (CTI), University Medical Center Utrecht, Utrecht, Netherlands.
  • Lammers JJ; Department of Tuberculosis, Municipal Public Health Service, Utrecht, Netherlands.
  • Thijsen SFT; Center for Translational Immunology (CTI), University Medical Center Utrecht, Utrecht, Netherlands.
  • Hofland RW; Department of Respiratory Medicine and Tuberculosis, University Medical Center Utrecht, Utrecht, Netherlands.
  • Nierkens S; Department of Respiratory Medicine and Tuberculosis, University Medical Center Utrecht, Utrecht, Netherlands.
Front Immunol ; 12: 725447, 2021.
Article em En | MEDLINE | ID: mdl-34691031
ABSTRACT

Introduction:

There is an urgent medical need to differentiate active tuberculosis (ATB) from latent tuberculosis infection (LTBI) and prevent undertreatment and overtreatment. The aim of this study was to identify biomarker profiles that may support the differentiation between ATB and LTBI and to validate these signatures. Materials and

Methods:

The discovery cohort included adult individuals classified in four groups ATB (n = 20), LTBI without prophylaxis (untreated LTBI; n = 20), LTBI after completion of prophylaxis (treated LTBI; n = 20), and healthy controls (HC; n = 20). Their sera were analyzed for 40 cytokines/chemokines and activity of adenosine deaminase (ADA) isozymes. A prediction model was designed to differentiate ATB from untreated LTBI using sparse partial least squares (sPLS) and logistic regression analyses. Serum samples of two independent cohorts (national and international) were used for validation.

Results:

sPLS regression analyses identified C-C motif chemokine ligand 1 (CCL1), C-reactive protein (CRP), C-X-C motif chemokine ligand 10 (CXCL10), and vascular endothelial growth factor (VEGF) as the most discriminating biomarkers. These markers and ADA(2) activity were significantly increased in ATB compared to untreated LTBI (p ≤ 0.007). Combining CCL1, CXCL10, VEGF, and ADA2 activity yielded a sensitivity and specificity of 95% and 90%, respectively, in differentiating ATB from untreated LTBI. These findings were confirmed in the validation cohort including remotely acquired untreated LTBI participants.

Conclusion:

The biomarker signature of CCL1, CXCL10, VEGF, and ADA2 activity provides a promising tool for differentiating patients with ATB from non-treated LTBI individuals.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 / 3_ND Base de dados: MEDLINE Assunto principal: Adenosina Desaminase / Fator A de Crescimento do Endotélio Vascular / Quimiocina CCL1 / Quimiocina CXCL10 / Tuberculose Latente Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Front Immunol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 / 3_ND Base de dados: MEDLINE Assunto principal: Adenosina Desaminase / Fator A de Crescimento do Endotélio Vascular / Quimiocina CCL1 / Quimiocina CXCL10 / Tuberculose Latente Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Front Immunol Ano de publicação: 2021 Tipo de documento: Article