| Literature DB >> 23459192 |
Andrés E Ciocchini1, Diego A Rey Serantes, Luciano J Melli, Jeremy A Iwashkiw, Bettina Deodato, Jorge Wallach, Mario F Feldman, Juan E Ugalde, Diego J Comerci.
Abstract
Brucellosis is a highly contagious zoonosis and still a major human health problem in endemic areas of the world. Although several diagnostic tools are available, most of them are difficult to implement especially in developing countries where complex health facilities are limited. Taking advantage of the identical structure and composition of the Brucella spp. and Yersinia enterocolitica O:9 O-polysaccharide, we explored the application of a recombinant Y. enterocolitica O:9-polysaccharide-protein conjugate (OAg-AcrA) as a novel antigen for diagnosis of human brucellosis. We have developed and validated an indirect immunoassay using OAg-AcrA coupled to magnetic beads. OAg-AcrA was produced and purified with high yields in Y. enterocolitica O:9 cells co-expressing the oligosaccharyltransferase PglB and the protein acceptor AcrA of Campylobacter jejuni without the need for culturing Brucella. Expression of PglB and AcrA in Y. enterocolitica resulted in the transfer of the host O-polysaccharide from its lipid carrier to AcrA. To validate the assay and determine the cutoff values, a receiver-operating characteristic analysis was performed using a panel of characterized serum samples obtained from healthy individuals and patients of different clinical groups. Our results indicate that, using this assay, it is possible to detect infection caused by the three main human brucellosis agents (B. abortus, B. melitensis and B. suis) and select different cutoff points to adjust sensitivity and specificity levels as needed. A cutoff value of 13.20% gave a sensitivity of 100% and a specificity of 98.57%, and a cutoff value of 16.15% resulted in a test sensitivity and specificity of 93.48% and 100%, respectively. The high diagnostic accuracy, low cost, reduced assay time and simplicity of this new glycoconjugate-magnetic beads assay makes it an attractive diagnostic tool for using not only in clinics and brucellosis reference laboratories but also in locations with limited laboratory infrastructure and/or minimally trained community health workers.Entities:
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Year: 2013 PMID: 23459192 PMCID: PMC3573069 DOI: 10.1371/journal.pntd.0002048
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Figure 1OAg-AcrA glycoconjugate as an antigen for the diagnosis of human brucellosis.
A) 10% SDS-PAGE analysis of purified non-glycosylated (NG) and glycosylated AcrA (G) by Coomassie brilliant blue and immunoblot using anti-histidine tag and anti-Brucella O-antigen monoclonal antibodies. B) Glycoconjugate magnetic beads-based immunoassay for detection of antibodies against the O-polysaccharide fraction of lipopolysaccharide (LPS). Magnetic beads coated with OAg-AcrA were incubated with the indicated human serum samples. Bound antibodies were detected using Cy5-conjugated goat anti human IgM/G antibodies.Positive and negative controls; human sera included as positive and negative controls in each assay run. The figures in parenthesis correspond to the identification of the samples according to Tables S1 and S2. Results are expressed as percentage of reactivity of the positive control serum. The bar graph data represents the means and standard deviation for two separate determinations. C) Western blot analysis of the same human serum samples.
Figure 2Glycoconjugate-magnetic beads assay analysis of serum samples obtained from healthy individuals and patients of different clinical groups.
A) Dotplot of the glycoconjugate-magnetic beads assay results. Serum samples of blood culture-positive patients (52 sera), culture-negative/serologically-positive patients with clinical diagnosis of brucellosis (86 sera), blood donors (240 sera), healthy individuals occupational-exposed to the pathogen (30 sera), patients with febrile syndrome (34 sera) and patients with other diseases (46 sera) were tested as indicated in Materials and Methods. The mean and standard deviation for each group are indicated. B) Analysis of glycoconjugate-magnetic beads assay results classifying the samples into two categories. Non-brucellosis category includes samples obtained from blood donors, healthy individuals occupational-exposed to the pathogen, patients with febrile syndrome and patients with other diseases. Brucellosis category includes samples of blood culture-positive and culture-negative/serologically-positive patients with clinical diagnosis of brucellosis. For each category reactivity values are arrange in increasing order. The horizontal lines indicate the cutoff values calculated by ROC analysis for which maximal sensitivity (Se) or specificity (Sp) is achieved. The inset shows a zoom of the graph part displaying the limit between categories.
Figure 3Receiver-operating characteristic (ROC) analysis of glycoconjugate-magnetic beads assay results.
A) ROC plot. The analysis was carried out considering as positive controls sera of patients with culture-confirmed brucellosis and culture-negative/serologically-positive patients with clinical diagnosis of brucellosis (138 sera), and as negative controls serum samples from blood-donors, healthy individuals occupational-exposed to the pathogen, patients with febrile syndrome and patients with other diseases (350 sera). AUC, area under the ROC curve. Values in parentheses indicate the 95% confidence interval. B) Plot of the diagnostic sensitivity (Se) and specificity (Sp) of the assay as a function of the cutoff value. The dot vertical line indicates the cutoff value that concurrently optimizes Se and Sp (cutoff = 14.18%, Se = 99.28% and Sp = 99.43%). The dash vertical lines indicate the cutoff values for which maximal Se or Sp is achieved (cutoff = 13.20%, Se = 100% and Sp = 98.57%; cutoff = 16.15%, Se = 93.48% and Sp = 100%).
Sensitivity, specificity, performance index, and positive and negative predictive values of the test calculated for different cutoff valuesa.
| Cutoff (%) | Se (%) | Sp (%) | PI | PPV (%) | NPV (%) | TP | TN | FP | FN |
| >13.20 |
| 98.57 (96.70–99.53) | 198.57 | 96.50 |
| 138 | 345 | 5 | 0 |
| >13.45 | 99.28 (96.03–99.98) | 98.57 (96.70–99.53) | 197.85 | 96.48 | 99.71 | 137 | 345 | 5 | 1 |
| >13.80 | 99.28 (96.03–99.98) | 98.86 (97.10–99.69) | 198.14 | 97.16 | 99.71 | 137 | 346 | 4 | 1 |
| >14.08 | 99.28 (96.03–99.98) | 99.14 (97.52–99.82) | 198.42 | 97.86 | 99.71 | 137 | 347 | 3 | 1 |
| >14.18 | 99.28 (96.03–99.98) | 99.43 (97.95–99.93) |
| 98.56 | 99.71 | 137 | 348 | 2 | 1 |
| >14.24 | 98.55 (94.86–99.82) | 99.43 (97.95–99.93) | 197.98 | 98.55 | 99.43 | 136 | 348 | 2 | 2 |
| >14.39 | 98.55 (94.86–99.82) | 99.71 (98.42–99.99) | 198.26 | 99.27 | 99.43 | 136 | 349 | 1 | 2 |
| >14.75 | 97.83 (93.78–99.55) | 99.71 (98.42–99.99) | 197.54 | 99.26 | 99.15 | 135 | 349 | 1 | 3 |
| >15.10 | 97.10 (92.74–99.20) | 99.71 (98.42–99.99) | 196.81 | 99.26 | 98.87 | 134 | 349 | 1 | 4 |
| >15.25 | 96.38 (91.75–98.81) | 99.71 (98.42–99.99) | 196.09 | 99.25 | 98.59 | 133 | 349 | 1 | 5 |
| >15.40 | 95.65 (90.78–98.39) | 99.71 (98.42–99.99) | 195.36 | 99.25 | 98.31 | 132 | 349 | 1 | 6 |
| >15.55 | 94.20 (88.90–97.46) | 99.71 (98.42–99.99) | 193.91 | 99.24 | 97.76 | 130 | 349 | 1 | 8 |
| >16.15 | 93.48 (87.98–96.97) |
| 193.48 |
| 97.49 | 129 | 350 | 0 | 9 |
The analysis was performed using 138 sera as positive-controls and 350 sera as negative-controls.
Se, sensitivity (TP/TP+FN)×100; Sp, specificity (TN/TN+FP)×100. Values in parentheses indicate the 95% confidence interval. TP, true positives; TN, true negatives; FP, false positives; FN, false negatives.
PI, performance index calculated as the sum of the sensitivity and specificity values.
PPV, positive predictive value (TP/TP+FP)×100; NPV, negative predictive value (TN/TN+FN)×100.
Maximum values for Se, Sp, PI, PPV and NPV are indicated in bold.
Sensitivity values of the different serological testsa.
| Number of samples | TEST (cutoff) | TP | FN | Se (%) |
| 138 | RBT | 84 | 54 | 60.87 |
| 138 | SAT (≥100) | 70 | 68 | 50.72 |
| 138 | SAT (≥25) | 121 | 17 | 87.68 |
| 138 | TAT(≥100) | 64 | 74 | 46.37 |
| 138 | TAT(≥25) | 123 | 15 | 89.13 |
| 127 | CELISA (>28%I) | 125 | 2 | 98.43 |
| 125 | CFT (≥5) | 95 | 30 | 76.00 |
| 138 | GBA | 138 | 0 | 100 |
| 138 | GBA | 129 | 9 | 93.48 |
The analysis was performed considering as positive reference controls sera obtained from patients with culture-confirmed brucellosis (52 sera) and from culture-negative/serologically-positive patients with clinical diagnosis of brucellosis (86 sera).
%I, percentage of inhibition.
GBA, glycoconjugate-beads assay.
TP, true positives; FN, false negatives; Se, sensitivity (TP/TP+FN)×100.
Serological follow-up of patients treated with antibiotic therapy.
| Patient N° | Samples | Blood Culture | Glycoconjugate-beads assay (%) | CELISA (%I) | FC |
| 28 | a(0) | Negative | 155.1 | 81 | 320 |
| b(2) | 85.6 | 66 | 80 | ||
| c(4) | 50.7 | 48 | 40 | ||
| d(7) | 26.8 | 46 | 40 | ||
| 36 | a(0) | Negative | 113.4 | 74 | 160 |
| b(7) | 41.5 | 56 | 20 | ||
| c(11) | 51.1 | 45 | 5 | ||
| d(16) | 17.9 | 42 | 5 | ||
| e(19) | 40.2 | 45 | 5 | ||
| f(23) | 35.6 | 40 | 5 | ||
| 1 | a(0) |
| 79.3 | 76 | 1280 |
| b(2) | 133.6 | 76 | 640 | ||
| c(5) | 255.9 | 94 | 1280 | ||
| d(9) | 296.9 | 91 | 640 | ||
| e(13) | 223.3 | 92 | 320 | ||
| f(17) | 201.1 | 81 | 160 | ||
| g(20) | 137.0 | 55 | 80 | ||
| h(23) | 151.9 | 60 | 80 | ||
| i(26) | 111.8 | 73 | 40 | ||
| j(29) | 122.4 | 75 | 40 | ||
| 3 | a(0) |
| 105.9 | 63 | 320 |
| b(13) | 302.3 | 91 | 160 | ||
| c(17) | 226.9 | 89 | 160 | ||
| d(20) | 232.1 | 85 | 80 | ||
| e(30) | 111.7 | 72 | 20 | ||
| f(32) | 126.8 | 71 | 20 | ||
| 6 | a(0) |
| 102.2 | 64 | 320 |
| b(3) | 65.6 | 61 | 80 | ||
| c(8) | 58.5 | 48 | 40 | ||
| 7 | a(0) |
| 121.6 | 64 | 160 |
| b(2) | 167.4 | 74 | 320 | ||
| c(6) | 74.6 | 52 | 40 | ||
| 10 | a(0) |
| 69.9 | 65 | 10 |
| b(5) | 27.0 | 45 | 5 | ||
| c(10) | 22.3 | 43 | NEG | ||
| d(12) | 15.5 | 30 | NEG | ||
| 37 | a(0) | Negative | 129.2 | 68 | 80 |
| b(2) | 77.1 | 48 | 80 | ||
| c(3) | 82.6 | 52 | 40 | ||
| d(6) | 72.8 | 62 | 20 | ||
| e(10) | 47.0 | 60 | 20 | ||
| f(32) | 24.5 | 49 | 10 | ||
| 39 | a(0) | Negative | 158.8 | 88 | 160 |
| b(3) | 237.5 | 92 | 320 | ||
| c(4) | 249.3 | 93 | 640 | ||
| d(6) | 151.2 | 92 | 320 | ||
| e(8) | 125.9 | 91 | 80 | ||
| f(10) | 80.7 | 88 | 80 | ||
| g(13) | 68.9 | 82 | 20 | ||
| h(20) | 41.1 | 75 | 5 | ||
| i(31) | 25.4 | 65 | 5 |
The letters indicate consecutive serum samples. The numbers in parenthesis indicate the months at which the samples were taken after admission.
Results are expressed as percentage of reactivity of the control positive serum. Cutoff >13.2%.
Cutoff >28%I.
Results are shown as titers. Cutoff ≥5.