Evaluation of cytokines in peripheral blood mononuclear cell supernatants for the diagnosis of tuberculosis.

TB biomarkers chemokines cytokines diagnostics

Journal

Journal of inflammation research
ISSN: 1178-7031
Titre abrégé: J Inflamm Res
Pays: New Zealand
ID NLM: 101512684

Informations de publication

Date de publication:
2019
Historique:
entrez: 15 1 2019
pubmed: 15 1 2019
medline: 15 1 2019
Statut: epublish

Résumé

There is active interest in leveraging host immune responses as biomarkers of tuberculosis (TB) disease activity. We had previously evaluated an immunodiagnostic test called the antibody in lymphocyte supernatant (ALS) assay. Here, we aimed to evaluate a panel of inflammatory mediators and associate the responses with the ALS results to identify a biosignature to distinguish TB cases from controls. In this case-control study, adults with TB were compared to controls who were hospitalized for non-infectious conditions. Blood was collected at baseline and after 4 weeks of TB treatment (from TB cases only). Peripheral blood mononuclear cells were isolated and cultured without antigenic stimulation for 72 hours. Inflammatory mediators were measured using the Multiplex cytokine kit and compared between TB cases and controls; among TB cases, responses were compared over time. ALS and inflammatory mediator results were evaluated using generalized discriminant analysis to identify the optimal biosignature to predict TB. When comparing inflammatory mediators between groups, IL-1ra, IL-1β, and granulocyte macrophage-colony stimulating factor (GM-CSF) were lower in TB cases ( Our results suggest that IL-1ra, IL-1β, and GM-CSF might be used as diagnostic biomarkers to distinguish between TB cases and non-TB cases. We could not identify a group of mediators that outperformed the diagnostic accuracy of the ALS alone.

Identifiants

pubmed: 30636888
doi: 10.2147/JIR.S183821
pii: jir-12-015
pmc: PMC6307673
doi:

Types de publication

Journal Article

Langues

eng

Pagination

15-22

Subventions

Organisme : FIC NIH HHS
ID : D43 TW006578
Pays : United States
Organisme : FIC NIH HHS
ID : D43 TW008270
Pays : United States
Organisme : NIAID NIH HHS
ID : K23 AI097197
Pays : United States
Organisme : NIAID NIH HHS
ID : U01 AI115594
Pays : United States

Déclaration de conflit d'intérêts

Disclosure The authors report no conflicts of interest in this work.

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Auteurs

Margaretha Sariko (M)

Kilimanjaro Clinical Research Institute, Moshi, Tanzania, m.sariko@kcri.ac.tz.
Kilimanjaro Christian Medical University College, Moshi, Tanzania, m.sariko@kcri.ac.tz.
Kilimanjaro Christian Medical Centre, Moshi, Tanzania, m.sariko@kcri.ac.tz.

Athanasia Maro (A)

Kilimanjaro Clinical Research Institute, Moshi, Tanzania, m.sariko@kcri.ac.tz.
Kilimanjaro Christian Medical Centre, Moshi, Tanzania, m.sariko@kcri.ac.tz.

Jean Gratz (J)

Kilimanjaro Clinical Research Institute, Moshi, Tanzania, m.sariko@kcri.ac.tz.
Division of Infectious Diseases and International Health, Department of Medicine, University of Virginia, Charlottesville, VA, USA.

Eric Houpt (E)

Division of Infectious Diseases and International Health, Department of Medicine, University of Virginia, Charlottesville, VA, USA.

Riziki Kisonga (R)

Kilimanjaro Clinical Research Institute, Moshi, Tanzania, m.sariko@kcri.ac.tz.
Kibong'oto Infectious Diseases Hospital, Kilimanjaro, Tanzania.

Stellah Mpagama (S)

Kilimanjaro Clinical Research Institute, Moshi, Tanzania, m.sariko@kcri.ac.tz.
Kibong'oto Infectious Diseases Hospital, Kilimanjaro, Tanzania.

Scott Heysell (S)

Division of Infectious Diseases and International Health, Department of Medicine, University of Virginia, Charlottesville, VA, USA.

Blandina T Mmbaga (BT)

Kilimanjaro Clinical Research Institute, Moshi, Tanzania, m.sariko@kcri.ac.tz.
Kilimanjaro Christian Medical University College, Moshi, Tanzania, m.sariko@kcri.ac.tz.
Kilimanjaro Christian Medical Centre, Moshi, Tanzania, m.sariko@kcri.ac.tz.

Tania A Thomas (TA)

Division of Infectious Diseases and International Health, Department of Medicine, University of Virginia, Charlottesville, VA, USA.

Classifications MeSH