| Literature DB >> 29856871 |
Chiara Della Bella1, Michele Spinicci1, Alessia Grassi1, Filippo Bartalesi2, Marisa Benagiano1, Katja Truthmann3, Simona Tapinassi1, Arianna Troilo1, Sofia D'Elios4, Heba Alnwaisri1, Eduard Shuralev5, Mahavir Singh3, Alessandro Bartoloni2, Mario Milco D'Elios1.
Abstract
BACKGROUND: Tuberculosis (TB) still is a major worldwide health problem, with 10.4 million new cases in 2016. Only 5-15% of people infected with M. tuberculosis develop TB disease while others remain latently infected (LTBI) during their lifetime. Thus, the absence of tests able to distinguish between latent infection and active tuberculosis is one of the major limits of currently available diagnostic tools.Entities:
Mesh:
Substances:
Year: 2018 PMID: 29856871 PMCID: PMC5983515 DOI: 10.1371/journal.pone.0197825
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of the 215 subjects divided according to the diagnosis in the three study groups.
| Healthy | LTBI | Active TB | |
|---|---|---|---|
| 88 (41) | 73 (34) | ||
| 27 (50) | 45 (51) | 48 (66) | |
| 21 (38.8) | 38 (43.2) | 32 (43.8) | |
| <5 | 54 (100) | 0 (0) | 0 (0) |
| ≥5 and <10 | 0 (0) | 5 (5.8) | 0(0) |
| ≥10 and <15 | 0 (0) | 13 (14.7) | 8 (11) |
| ≥15 | 0 (0) | 70 (79.5) | 65 (89) |
| Negative | 50 (92.65) | 5 (5.7) | 4 (5.48) |
| Positive | 3 (5.5) | 80 (90.9) | 68 (93.15) |
| Indeterminate | 1 (1.85) | 3 (3.4) | 1 (1.37) |
| Positive | Not | 0 (0) | 42 (57.5) |
| Negative | Not | 24 (100) | 31 (42.5) |
| Positive | Not | 0 (0) | 73(100) |
| Negative | Not | 24 (100) | 0 (0) |
| Positive | Not | 0 (0) | 73(100) |
| Negative | Not | 24 (100) | 0 (0) |
IL-2 based ELISpot test results for the 215 enrolled patient.
| Healthy (n = 54) | LTBI (n = 88) | Active TB (n = 73) | P | P | |
|---|---|---|---|---|---|
| 0 | 7.5 | 280 | p≤0.0001 | p≤0.0001 | |
| 2.5 (0;17.5) | 180 | 392,5 | p≤0.0001 | p≤0.0001 | |
| 0 | 192.5 (77.5;660) | 480 | p≤0.0001 | p≤0.0001 |
IL-2 based ELISpot test results for the 215 enrolled patients, clustered according to the diagnosis. The values are expressed as mean and interquartile range of SFC per million PBMCs.
Fig 1Receiver operator characteristic (ROC) curve.
A ROC curve (blu line) plot of the LIOSpot® TB is shown, illustrating sensitivity and specificity for Ala-DH (A), ESAT-6 (B) and CFP-10 (C) to discriminate subjects with active TB from LTBI ones. AUC is the area delimited by the ROC curve and the green reference line.
Concordance between TST and IL-2 based ELISpot for each antigen in the study, for all the enrolled subjects.
| TST vs ELISpot Ag | Concordance(%) |
|---|---|
| TST vs ELISpot ALA-DH | 92.56%, k = 0.82 |
| TST vs ELISpot ESAT-6 | 77.2%, k = 0.53 |
| TST vs ELISpot CFP-10 | 63.7%, k = 0.35 |
Concordance between QFT-G-IT and IL-2 based ELISpot for each antigen in the study, for all the 210 enrolled subjects.
| QFT-G-IT vs ELISpot Ag | Concordance(%) |
|---|---|
| QFT-G-IT vs ELISpot ALA-DH | 57.1%, k = 0.25 |
| QFT-G-IT vs ELISpot ESAT-6 | 79.5%, k = 0.57 |
| QFT-G-IT vs ELISpot CFP-10 | 71.0%, k = 0.44 |