کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5668629 1407910 2017 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Biomarkers for discrimination between latent tuberculosis infection and active tuberculosis disease
ترجمه فارسی عنوان
نشانگرهای بیولوژیکی برای تبعیض بین عفونت سل و بیماری های فعال سل
موضوعات مرتبط
علوم زیستی و بیوفناوری ایمنی شناسی و میکروب شناسی میکروبیولوژی و بیوتکنولوژی کاربردی
چکیده انگلیسی


- Combinations of cytokine biomarkers improved the detection of Mtb-infection.
- Biomarkers improved the ability to discriminate between active TB and LTBI.
- Biomarkers improved the ability to discriminate between active TB and non-active TB.
- VEGF is a key biomarker for reflecting active TB.

SummaryObjectiveWe aimed to determine whether combinations of multiplex cytokine responses could differentiate Mycobacterium tuberculosis (Mtb) infection states.MethodsMtb-specific antigen-induced and unstimulated cytokines were measured by Luminex assay in supernatants of QuantiFERON® Gold In-Tube assay (QFT) in 48 active pulmonary TB patients (TB), 15 latent TB infection subjects (LTBI), and 13 healthy controls (HCs).ResultsAmong the 29 cytokines, eight Mtb antigen-specific biomarkers (GM-CSF, IFN-γ, IL-1RA, IL-2, IL-3, IL-13, IP-10, and MIP-1β) in the Mtb-infected group were significantly different from those of the HCs. Five Mtb-specific biomarkers (EGF, GM-CSF, IL-5, IL-10, and VEGF), two unstimulated biomarkers (TNF-α[Nil] and VEGF[Nil]), and one Mtb-specific biomarker ratio (IL-2/IFN-γ) showed significant differences between active TB and LTBI. Three unstimulated biomarkers (IL-8[Nil], IL-13[Nil], and VEGF[Nil]) and 5 Mtb-specific biomarkers (IFN-γ, IL-2, IL-3, IP-10, and VEGF) were significantly different between active TB and non-active TB groups. Combinations of three cytokine biomarkers resulted in the accurate prediction of 92.1-93.7% of Mtb-infected cases and 92.3-100% of HCs, respectively. Moreover, combinations of five biomarkers accurately predicted 90.9-100% of active TB cases and 80-100% of LTBI subjects, respectively. In discriminating between active TB and non-active TB regardless of QFT results, combinations of six biomarkers predicted 79.2-95.8% of active TB cases and 67.9-89.3% of non-active TB subjects.ConclusionsTaken together, our data suggest that combinations of whole blood Mtb antigen-dependent cytokines could serve as biomarkers to determine TB disease states. Especially, VEGF is highlighted as a key biomarker for reflecting active TB, irrespective of stimulation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Infection - Volume 74, Issue 3, March 2017, Pages 281-293
نویسندگان
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