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

Copyright © 2022 by The American Association of Immunologists, Inc..

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:209

Enthalten in:

Journal of immunology (Baltimore, Md. : 1950) - 209(2022), 10 vom: 15. Nov., Seite 2054-2067

Sprache:

Englisch

Beteiligte Personen:

Mehdi, Farha [VerfasserIn]
Chowdhury, Shirlie Roy [VerfasserIn]
Yadav, Sarla [VerfasserIn]
Kansana, Jitendra Singh [VerfasserIn]
Sinha, Sangita Kumari [VerfasserIn]
Das, Soon Jyoti [VerfasserIn]
Lodha, Rakesh [VerfasserIn]
Prakash, John Antony Jude [VerfasserIn]
Lamminimäki, Urpo [VerfasserIn]
Batra, Gaurav [VerfasserIn]

Links:

Volltext

Themen:

Antibodies, Monoclonal
Antineoplastic Agents, Immunological
Immunodominant Epitopes
Journal Article
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 29.11.2022

Date Revised 21.04.2023

published: Print

Citation Status MEDLINE

doi:

10.4049/jimmunol.2200251

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM349399115