| Literature DB >> 27042292 |
Alexandra F Santos1, Natalia Bécares2, Alick Stephens2, Victor Turcanu2, Gideon Lack2.
Abstract
BACKGROUND: Basophil activation test (BAT) reproduces IgE-mediated allergic reactions in vitro and has been used as a diagnostic test. Different markers can be used to identify basophils in whole blood and have implications for the outcome of the test. We aimed to assess changes in the expression of CD123 and HLA-DR following basophil activation and to select the best gating strategy for BAT using these markers.Entities:
Keywords: Basophil activation test; CD123; CD203c; CD63; IL-3; Peanut allergy
Year: 2016 PMID: 27042292 PMCID: PMC4818434 DOI: 10.1186/s13601-016-0100-4
Source DB: PubMed Journal: Clin Transl Allergy ISSN: 2045-7022 Impact factor: 5.871
Fig. 1Basophils were identified in whole blood in the lymphocyte-monocyte area (a) as SSClow/CD123+/HLA-DR− (b, c) or as SSClow/CD203c+ (e) or as SSClow/CD203c+/CD123+/HLA-DR− (e, f) cells. CD63 expression was assessed in basophils identified as SSClow/CD123+/HLA-DR− (d) or SSClow/CD203c+/CD123+/HLA-DR− (g).
Number of basophils (gated as SSClow/CD123+/HLA-DR− cells) and expression of CD123 on the surface of basophils (gated as SSClow/CD203c+ cells) as measured by MFI of CD123-FITC in different stimulation conditions
| Stimulant | n | Pre-stimulation | Post-stimulation | p value |
|---|---|---|---|---|
| Number of basophils | ||||
| fMLP | 116 | 1722 (1226, 2184) | 1572 (1037, 2100) |
|
| Anti-IgE | 104 | 1722 (1221, 2191) | 1414 (972, 1995) |
|
| Peanut extract | 42 | 1732 (1212, 2174) | 1514 (914, 2041) | 0.134 |
| MFI of CD123-FITC | ||||
| fMLP | 116 | 1082 (98, 1549) | 514 (75, 1020) | < |
| Anti-IgE | 104 | 1081 (95, 1549) | 495 (60, 1111) | < |
| Peanut extract | 42 | 1172 (80–2058) | 293 (40, 1244) | < |
Median (inter-quartile range) is represented. p value refers to the comparison of post-stimulation conditions with the negative control
Fig. 2Variation in the number of identified basophils following anti-IgE stimulation compared to the negative control (n = 104). Variation was calculated as (number of identified basophils pre-stimulation − number of identified basophils post-stimulation)/number of identified basophils pre-stimulation
Fig. 3Changes in the MFI of CD123-FITC (a) and in the MFI of CD203c-PE (b), following stimulation with 100 ng/ml of peanut extract (n = 42 peanut allergic patients)
Fig. 4Down-regulation of CD123 expression with basophil activation. a Change in the MFI of CD123-FITC on the surface of basophils following anti-IgE stimulation. b Correlation between decrease in CD123 and up-regulation of CD63 on the surface of basophils
Comparison of different strategies to gate on basophils
| Parameters | Stimulants | CD123+ HLA-DR− | CD203c+ | CD203c+ CD123+ HLA-DR− | Overall p value | p value1 | p value2 | p value3 |
|---|---|---|---|---|---|---|---|---|
| Number of basophils | Negative controla | 1722 (1226, 2184) | 1782 (1334–2239) | 1697 (1268–2134) | 0.635 | 0.390 | 0.436 | 0.908 |
| Anti-IgEb | 1414 (972–1995) | 2156 (1620–3097) | 1939 (1452–2877) | < | < | 0.06 | < | |
| fMLPa | 1572 (1037, 2100) | 2146 (1684–2940) | 1891 (1447–2715) | < | < | 0.084 | < | |
| Peanut extractc | 1514 (914–2041) | 2351 (1748–3062) | 2104 (1615–2752) | < | < | 0.348 |
| |
| %CD63 + basophils | Anti-IgEb | 24.8 (10.7, 42.5) | 29.4 (17.3–48.9) | 32.0 (17.1–53.9) |
|
| 0.809 |
|
| fMLPa | 28.2 (15.9, 42.3) | 41.1 (26.3–53.4) | 41.4 (26.9–56.9) | < | < | 0.644 | < | |
| Peanut extractc | 32.3 (10.9, 56.2) | 41.0 (18.0–56.9) | 42.1 (20.0–68.5) | 0.185 | 0.220 | 0.561 | 0.074 | |
| MFI CD63 | Anti-IgEb | 104.0 (26.3–195.2) | 148 (36, 345) | 159.3 (45.4–350.8) |
|
| 0.611 |
|
| fMLPa | 139 (37, 284) | 285 (76, 683) | 307 (81, 708) | < | < | 0.678 | < | |
| Peanut extractc | 138.4 (24.8–270.7) | 190 (37, 513) | 202.9 (42.6–567.4) | 0.267 | 0.271 | 0.629 | 0.113 | |
| SI CD203c | Anti-IgEb | 2.4 (1.5–3.8) | 2.9 (2.0–4.2) | 3.2 (2.0–4.6) |
|
| 0.191 |
|
| fMLPa | 2.3 (1.7–3.1) | 2.6 (2.2–3.7) | 2.8 (2.2–4.1) | < |
| 0.280 | < | |
| Peanut extractc | 3.3 (1.8–5.3) | 3.8 (2.4–4.8) | 4.3 (2.4–5.4) | 0.193 | 0.386 | 0.260 | 0.088 | |
| MFI CD203c | Anti-IgEb | 2331 (197–5633) | 4833 (254, 9020) | 5013 (29–9161) |
|
| 0.677 |
|
| fMLPa | 2763 (216–5139) | 4549 (279, 7961) | 4908 (334–8270) |
|
| 0.813 |
| |
| Peanut extractc | 3631.6 (179.4–8491.4) | 5312 (206, 11,976) | 7012 (236–11,857) | 0.173 | 0.14 | 0.714 | 0.083 |
Median and inter-quartile range are represented. Medians were compared between the three groups using Kruskall–Wallis test and between two groups using Mann–Whitney U test
an = 116
bn = 104 (non-responders were excluded)
cn = 42 (peanut allergic)
1CD123+/HLA-DR− versus CD203c+
2CD203c+ versus CD203c+/CD123+/HLA-DR−
3CD123+/HLA-DR− versus CD203c+/CD123+/HLA-DR−
Fig. 5Gating with CD123/HLA-DR led to the loss-to-analysis of basophils and underestimation of basophil activation. In a representative experiment, basophils were gated as SSClow/CD123bright/HLA-DR− (a) or SSClow/CD203c+/CD123+/HLA-DR− (b). The percentage of CD63+ basophils is represented in different conditions: negative control, peanut extract 100 ng/ml and peanut-dose–response curve. Note the bi-exponential display [38]
Fig. 6ROC curve of the average %CD63+ basophils at 10 and 100 ng/ml of peanut extract using different basophil gating strategies: SSClow/CD203c+/CD123+/HLA-DR− (red), SSClow/CD123+/HLA-DR− (blue)
Diagnostic accuracy of the basophil activation test to peanut using different gating strategies
| Gating strategy | ||
|---|---|---|
| CD123+ HLADR− | CD203c+ CD123+ HLADR− | |
| Optimal cut-off | 6.8 | 8.1 |
| AUC ROC for the cut-off | 0.91 | 0.97 |
| Accuracy (%) | 91 | 97 |
| Sensitivity (%) | 88 | 98 |
| Specificity (%) | 94 | 96 |
| PPV (%) | 93 | 95 |
| NPV (%) | 90 | 98 |
| %True positives | 40 | 45 |
| %False positives | 3 | 2 |
| %True negatives | 51 | 52 |
| %False negatives | 5 | 1 |
| LR+ | 14.7 | 24.4 |
| LR− | 0.13 | 0.02 |
The optimal cut-off was determined for the %CD63+ basophils following stimulation with 100 ng/ml of peanut extract
PPV positive predictive value, NPV negative predictive value, LR+ positive likelihood ratio, LR− negative likelihood ratio