| Literature DB >> 32488051 |
Arnone Nithichanon1,2,3, Ploenchan Chetchotisakd1, Takayuki Matsumura3, Yoshimasa Takahashi3, Manabu Ato4, Takuro Sakagami5, Ganjana Lertmemongkolchai6.
Abstract
The anti-interferon-gamma (IFN-gamma) autoantibody is a known cause of opportunistic non-tuberculous mycobacterial (NTM) infection in adults. Diagnosis of those patients is difficult due to the low sensitivity of bacterial culture, and because detection of the neutralizing autoantibody needs special laboratory devices. We conducted a retrospective review of indirect and inhibitory ELISA, both used for detection of anti-IFN-gamma auto-antibody in 102 patients with lymphadenopathies. We assessed hospital records of NTM isolation and/or diagnosis of NTM infection. The review revealed the compatible sensitivity and superior specificity and predictive values for inhibitory ELISA over against indirect ELISA-the latter achieving 100% specificity and positive predictive value for diagnosis of NTM infection in patients with lymphadenopathies. The results confirm functional assays that show plasma samples from NTM-infected patients with positive results by either indirect and/or inhibitory ELISA are IFN-gamma neutralizing autoantibodies. The inhibitory titer of anti-IFN-gamma auto-antibody can be used to distinguish patients with active from inactive NTM infection. Inhibitory ELISA is thus a practical, rapid, high performance tool for routine detection of anti-IFN-gamma autoantibody and NTM infection diagnosis before confirmation, enabling a timely therapeutic strategy for active infection treatment.Entities:
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Year: 2020 PMID: 32488051 PMCID: PMC7265449 DOI: 10.1038/s41598-020-65933-x
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Comparison of indirect and inhibitory ELISA methods for determination of anti-IFN-γ autoantibody. Anti-IFN-γ autoantibody titers were measured from heparinized plasma samples by indirect and inhibitory ELISA. A scatter dot plot presents the absorbance index of indirect ELISA from NTM infection patients (inhibitory ELISA positive n = 76, and negative n = 6), lymphadenopathy without infection (n = 20), and non-infected controls (n = 20). The dashed line represents the diagnosis cut-off. Statistically significant differences were further analyzed using ANOVA (Kruskal-Wallis test) with Dunn’s multiple comparisons post-test, ***P < 0.001 and ****P < 0.0001 (A). Correlation of positive results (n = 68) between the Log10 absorbance index from indirect ELISA was compared to Log10 titer from inhibitory ELISA using linear regression (B).
Performance comparison between indirect and inhibitory ELISA for diagnosis of NTM infection in patients with lymphadenopathies.
| Method for diagnosis of anti-IFN-γ autoantibody | No. of positive samples/total no. of samples with NTM infection | % Sensitivity (95% CI) | No. of negative samples/total no. of samples without NTM infection | % Specificity (95% CI) |
|---|---|---|---|---|
| Indirect ELISA | 74/82 | 90.2 ns (81.7–95.7) | 7/20 | 35.0* (15.4–59.2) |
| Inhibitory ELISA | 76/82 | 92.7 ns (84.8–97.3) | 20/20 | 100* (83.2–100) |
| Indirect ELISA | 74/87 | 85.1 (75.8–91.8) | 7/15 | 46.7 (21.3–73.4) |
| Inhibitory ELISA | 76/76 | 100 (95.3–100) | 20/26 | 76.9 (60.7–87.8) |
Statistically significant differences were analyzed by McNemar’s test: ns, non-significant (P = 0.7728); *P = 0.0009. Abbreviation: CI, confident interval; PPV, positive predictive value; NPV, negative predictive value.
Figure 2Plasma anti-IFN-γ autoantibodies identified by indirect and/or inhibitory ELISA neutralized phosphorylation of STAT1. Recombinant human IFN-γ 200 ng/ml was pre-incubated with each plasma sample at a 1:10 dilution before being cultured with 104 CD14-FITC-labeled human PBMCs for 30 min. Phosphorylation of STAT1 (pSTAT1) was stained intracellularly and analyzed by flow-cytometer. Representative histograms of pSTAT1 signal of CD14 positive cells compared with no stimulation (dotted line) and IFN-γ stimulation (tinted black line) are shown (A). Median fluorescent intensity (MFI) from each sample from different groups was calculated as % pSTAT1 MFI stimulation index = (MFI plasma + IFN-γ – MFI unstimulated/MFI IFN-γ – MFI unstimulated) × 100. A scatter dot plot of % pSTAT1 MFI stimulation index of 5 plasma samples from each group shows the median line and interquartile range (B).
Figure 3Distribution of anti-IFN-γ autoantibody titers of NTM infected patients. Anti-IFN-γ autoantibody titers were measured in heparinized plasma samples by inhibitory ELISA. The results are presented as a scatter dot plot and bar graph plot with the geometrical mean and 95%CI. Statistically significant differences among each sample group—of: duration of NTM infection (A); type of infection (B); and, NTM infection outcomes (C)—were compared using an ANOVA (Kruskal-Wallis test) with Dunn’s multiple comparisons post-test, *P < 0.05, **P < 0.01 and ****P < 0.0001. Anti-IFN-γ autoantibody titers of active NTM infected patients (n = 14) were followed-up for 3 years; the results of which are presented as a scatter dot plot with connecting line for the same patient samples (D). Black lines represent reduction of titers, and dash lines are non-changing titers. Statistically significant change of titers from repeated samples were analyzed using an ANOVA (Friedman test).
Figure 4Efficacies of anti-IFN-γ auto-antibody titer to classify NTM patients with active or inactive infection. Anti-IFN-γ auto-antibody titers from NTM patients with active (N = 53) or inactive infection (N = 15) were analyzed for a receiver operating characteristic curve (A), percentage proportion of auto-antibody titer ≥5,000 (black portion), and <5,000 (white portion) from active or inactive NTM infected patients. Results are presented as bar graph (B).