Literature DB >> 26250497

Biomarkers for risk of developing active tuberculosis in contacts of TB patients: a prospective cohort study.

Niaina Rakotosamimanana1, Vincent Richard2, Vaomalala Raharimanga3, Brigitte Gicquel4, T Mark Doherty5, Alimuddin Zumla6, Voahangy Rasolofo Razanamparany7.   

Abstract

Identifying those Mycobacterium tuberculosis latent-infected individuals most at risk of developing active tuberculosis (TB) using routine clinical and laboratory tests remains a huge challenge in TB control efforts. We conducted a prospective longitudinal study of clinical and laboratory markers associated with the risk of developing active TB in contacts with latent M. tuberculosis infection.HIV-negative household contacts (n=296) of pulmonary TB patients underwent monitoring of clinical features, full blood cell counts, tuberculin skin text (TST) and chest radiography performed regularly during 18 months of follow-up. Paired statistical tests, a Kaplan-Meier analysis and Cox proportional hazard modelling were performed on variables between contacts progressing or not progressing to active TB.The appearance of TB disease symptoms in contacts was significantly associated with an elevated peripheral percentage of blood monocytes (adjusted hazard ratio (aHR) 6.25, 95% CI 1.63-23.95; p<0.01), a ≥14 mm TST response (aHR 5.72, 95% CI 1.22-26.80; p=0.03) and an increased monocyte:lymphocyte ratio (aHR 4.97, 95% CI 1.3-18.99; p=0.03). Among contacts having TST ≥14 mm, a strong association with risk of progression to TB was found with an elevated blood monocyte percentage (aHR 8.46, 95% CI 1.74-41.22; p<0.01).Elevated percentage of peripheral blood monocytes plus an elevated TST response are potential biomarkers for identifying contacts of TB patients at highest risk of developing active TB.
Copyright ©ERS 2015.

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Year:  2015        PMID: 26250497     DOI: 10.1183/13993003.00263-2015

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  17 in total

Review 1.  Tuberculosis susceptibility and protection in children.

Authors:  Robindra Basu Roy; Elizabeth Whittaker; James A Seddon; Beate Kampmann
Journal:  Lancet Infect Dis       Date:  2018-10-12       Impact factor: 25.071

2.  Distinct blood transcriptomic signature of treatment in latent tuberculosis infected individuals at risk of developing active disease.

Authors:  Julie G Burel; Akul Singhania; Paige Dubelko; Julius Muller; Rachel Tanner; Eneida Parizotto; Martin Dedicoat; Thomas E Fletcher; James Dunbar; Adam F Cunningham; Cecilia S Lindestam Arlehamn; Donald G Catanzaro; Antonino Catanzaro; Timothy Rodwell; Helen McShane; Matthew K O'Shea; Bjoern Peters
Journal:  Tuberculosis (Edinb)       Date:  2021-09-14       Impact factor: 3.131

3.  Peripheral Blood Markers Correlate with the Progression of Active Tuberculosis Relative to Latent Control of Mycobacterium tuberculosis Infection in Macaques.

Authors:  Maya Gough; Dhiraj K Singh; Chivonne Moodley; Tianhua Niu; Nadia A Golden; Deepak Kaushal; Smriti Mehra
Journal:  Pathogens       Date:  2022-05-05

4.  Neutrophil-Lymphocyte Ratio and Monocyte-Lymphocyte Ratio According to the Radiologic Severity of Mycobacterium avium Complex Pulmonary Disease.

Authors:  Mi-Ae Kim; Yea Eun Park; Yong Pil Chong; Tae Sun Shim; Kyung-Wook Jo
Journal:  J Korean Med Sci       Date:  2022-10-17       Impact factor: 5.354

5.  Influence of the polymorphism of the DUSP14 gene on the expression of immune-related genes and development of pulmonary tuberculosis.

Authors:  M Hijikata; I Matsushita; N T Le Hang; P H Thuong; D B Tam; S Maeda; S Sakurada; V C Cuong; L T Lien; N Keicho
Journal:  Genes Immun       Date:  2016-03-03       Impact factor: 2.676

6.  An Integrated Workflow To Assess Technical and Biological Variability of Cell Population Frequencies in Human Peripheral Blood by Flow Cytometry.

Authors:  Julie G Burel; Yu Qian; Cecilia Lindestam Arlehamn; Daniela Weiskopf; Jose Zapardiel-Gonzalo; Randy Taplitz; Robert H Gilman; Mayuko Saito; Aruna D de Silva; Pandurangan Vijayanand; Richard H Scheuermann; Alessandro Sette; Bjoern Peters
Journal:  J Immunol       Date:  2017-01-09       Impact factor: 5.422

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.  Combined analysis of whole blood interferon gamma release assay and complete blood count analysis for rapid discrimination of active tuberculosis and latent tuberculosis infection.

Authors:  Yun-Jeong Kang; Heechul Park; Sung-Bae Park; Junseong Kim; Jiyoung Lee; Jungho Kim; Sunyoung Park; Yong Sung Lee; Sunghyun Kim
Journal:  J Clin Tuberc Other Mycobact Dis       Date:  2021-06-22

9.  An RNA-seq Based Machine Learning Approach Identifies Latent Tuberculosis Patients With an Active Tuberculosis Profile.

Authors:  Olivia Estévez; Luis Anibarro; Elina Garet; Ángeles Pallares; Laura Barcia; Laura Calviño; Cremildo Maueia; Tufária Mussá; Florentino Fdez-Riverola; Daniel Glez-Peña; Miguel Reboiro-Jato; Hugo López-Fernández; Nuno A Fonseca; Rajko Reljic; África González-Fernández
Journal:  Front Immunol       Date:  2020-07-14       Impact factor: 7.561

Review 10.  Monocyte Subsets: Phenotypes and Function in Tuberculosis Infection.

Authors:  Pavithra Sampath; Kadar Moideen; Uma Devi Ranganathan; Ramalingam Bethunaickan
Journal:  Front Immunol       Date:  2018-07-30       Impact factor: 7.561

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