Generation of a Large Repertoire of Monoclonal Antibodies against Dengue Virus NS1 Antigen and the Development of a Novel NS1 Detection Enzyme-Linked Immunosorbent Assay.
Farha MehdiShirlie Roy ChowdhurySarla YadavJitendra Singh KansanaSangita Kumari SinhaSoon Jyoti DasRakesh LodhaJohn Antony Jude PrakashUrpo LamminimäkiGaurav BatraPublished in: Journal of immunology (Baltimore, Md. : 1950) (2022)
Commercial dengue virus (DENV) nonstructural-1 (NS1) Ag detection immunoassays often perform poorly, particularly in secondary DENV infection. To develop a highly sensitive NS1 ELISA, we generated a large repertoire of anti-DENV NS1 mouse mAbs (n = 95) that falls into 36 mAb classes based on binding specificities. The identified mAb pair, capable of efficiently detecting NS1 from four DENV serotypes in an immunoassay, was selected based on multiparametric analysis. The selected mAbs have subnanomolar affinities for NS1 with recognition sites outside the immunodominant wing domain. The assay was converted to an ELISA kit, which showed higher analytical sensitivity (3-fold to 83-fold) for NS1 from four DENV serotypes than commercial Platelia NS1 ELISA (Bio-Rad Laboratories). Compared to RT-PCR, the developed NS1 ELISA showed 78.57% (66 of 84) sensitivity, whereas Platelia NS1 ELISA showed a sensitivity of 60.71% (51 of 84). In a subgroup of RT-PCR-positive secondary dengue samples, our ELISA showed a sensitivity of 70.18% (40 of 57), whereas Platelia ELISA detected only 47.37% (27 of 57) samples. Furthermore, unlike Platelia ELISA, our test equally detected NS1 from four serotypes; Platelia ELISA performed poorly for the DENV-2 serotype, in which only 8 of 21 (38.10%) samples were detected compared with 17 of 21 (80.95%) in our ELISA. Moreover, our ELISA showed 100% specificity in 342 challenging dengue-negative samples. The large and diverse mAb repertoire generated against DENV NS1 and the appropriate selection of mAbs allowed us to establish an ELISA that can efficiently detect NS1 Ag even in secondary dengue and without serotype level bias.