Biomarkers to identify <i>Mycobacterium tuberculosis</i> infection among borderline QuantiFERON results
Uzorka JW, Bakker JA, van Meijgaarden KE, Leyten EMS, Delfos NM, Hetem DJ, Kerremans J, Zwarts M, et al. (12 authors)
The European respiratory journal · 2022-08
Abstract
Background Screening for tuberculosis (TB) infection often includes QuantiFERON-TB Gold Plus (QFT) testing. Previous studies showed that two-thirds of patients with negative QFT results just below the cut-off, so-called borderline test results, nevertheless had other evidence of TB infection. This study aimed to identify a biomarker profile by which borderline QFT results due to TB infection can be distinguished from random test variation. Methods QFT supernatants of patients with a borderline (≥0.15 and -1 ), low-negative ( -1 ) or positive (≥0.35 IU·mL -1 ) QFT result were collected in three hospitals. Bead-based multiplex assays were used to analyse 48 different cytokines, chemokines and growth factors. A prediction model was derived using LASSO regression and applied further to discriminate QFT-positive Mycobacterium tuberculosis -infected patients from borderline QFT patients and QFT-negative patients RESULTS: QFT samples of 195 patients were collected and analysed. Global testing revealed that the levels of 10 kDa interferon (IFN)-γ-induced protein (IP-10/CXCL10), monokine induced by IFN-γ (MIG/CXCL9) and interleukin-1 receptor antagonist in the antigen-stimulated tubes were each significantly higher in patients with a positive QFT result compared with low-negative QFT individuals (p Conclusions This study was able to classify borderline QFT results as likely infection-related or random. These findings support additional laboratory testing for either IP-10 or MIG following a borderline QFT result for individuals at increased risk of reactivation TB.
MeSH terms
- Humans
- Mycobacterium tuberculosis
- Tuberculosis
- Tuberculin Test
- Chemokine CXCL10
- Interferon-gamma
- Latent Tuberculosis
- Interferon-gamma Release Tests
- Biomarkers