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. 2022 Nov 18;12(11):2860.
doi: 10.3390/diagnostics12112860.

Lectin Analysis of SARS-CoV-2-Positive Nasopharyngeal Samples Using GLYcoPROFILE® Technology Platform

Affiliations

Lectin Analysis of SARS-CoV-2-Positive Nasopharyngeal Samples Using GLYcoPROFILE® Technology Platform

Mateja Seničar et al. Diagnostics (Basel). .

Abstract

Nasopharyngeal samples are currently accepted as the standard diagnostic samples for nucleic acid amplification testing and antigenic testing for the SARS-CoV-2 virus. In addition to the diagnostic capacity of SARS-CoV-2-positive crude nasopharyngeal samples, their qualitative potential for direct glycan-specific analysis, in order to uncover unique glycol profiles, was assessed. In this study we provide glycan characterization of SARS-CoV-2-positive and -negative nasopharyngeal samples directly from lectin interactions. Although with limited throughput, this study evaluated the clinical sensitivity and specificity of the GLYcoPROFILE® technology platformon45crude nasopharyngeal samples collected between November 2020 and April 2022. Each GLYcoPROFILE® of 39 SARS-CoV-2-positive samples was compared toglycoprofiling on a panel of 10 selected lectins and the results were paralleled with SARS-CoV-2-negative samples’ results. The GLYcoPROFILE® showed a clear distinction between positive and negative samples with WFA, GSL-II, PHA-L (GlcNAc-specific) and BPA (GalNAc-specific) highlighted as relevant lectins in SARS-CoV-2-positive samples. In addition, a significant, positive statistical correlation was found for these lectins (p < 0.01).

Keywords: COVID-19; GLYcoPROFILE® technology; SARS-CoV-2; lectins; nasopharyngeal samples.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Schematic representation of GLYcoPROFILE® technology. Recognition of SARS-CoV-2 glycan motifs by specific lectins immobilized on the microtiter plate.
Figure 2
Figure 2
GLYcoPROFILE® raw data of 4 SARS-CoV-2-positive nasopharyngeal samples on a panel of 20 lectins. Non-diluted samples were screened against selected lectins, previously adsorbed on LEctPROFILE® plate, and revealed with anti-SARS-CoV-2 antibodies (1/100).
Figure 3
Figure 3
GLYcoPROFILE® raw data of SARS-CoV-2-positive (N°1–39 in black) and -negative (N°40–45 in grey) nasopharyngeal samples on a panel of 10 lectins. Non-diluted samples were screened against selected lectins, previously adsorbed on LEctPROFILE® plate, and revealed with anti-SARS-CoV-2 antibodies (1/100).
Figure 4
Figure 4
Average of GLYcoPROFILE® fluorescence intensities interactions of nasopharyngeal SARS-CoV-2-positive and -negative samples with lectins.
Figure 5
Figure 5
GLYcoPROFILE® Heat Map representation of the fluorescence intensities of raw data of individual SARS-CoV-2-positive (from N°1 to 39) and -negative samples (from N°40 to 45). (A) GLYcoPROFILE® Heat Map with indicated viral charges (red arrow: high viral load, blue arrow: moderate viral load, no arrow: viral load not determined); (B) Regrouped GLYcoPROFILE® Heat Map according to increasing (moderate to high) viral charge. Interpretation of viral charge results for N gene amplification of SARS-CoV-2 virus according to FMS: high < 25, moderate 25–30, low > 30.

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