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] |
---|
Links: |
---|
Themen: |
Antibodies, Monoclonal |
---|
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 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | NLM349399115 | ||
003 | DE-627 | ||
005 | 20231226042529.0 | ||
007 | cr uuu---uuuuu | ||
008 | 231226s2022 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.4049/jimmunol.2200251 |2 doi | |
028 | 5 | 2 | |a pubmed24n1164.xml |
035 | |a (DE-627)NLM349399115 | ||
035 | |a (NLM)36426952 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Mehdi, Farha |e verfasserin |4 aut | |
245 | 1 | 0 | |a 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 |
264 | 1 | |c 2022 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Completed 29.11.2022 | ||
500 | |a Date Revised 21.04.2023 | ||
500 | |a published: Print | ||
500 | |a Citation Status MEDLINE | ||
520 | |a Copyright © 2022 by The American Association of Immunologists, Inc. | ||
520 | |a 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 | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Research Support, Non-U.S. Gov't | |
650 | 7 | |a Antibodies, Monoclonal |2 NLM | |
650 | 7 | |a Antineoplastic Agents, Immunological |2 NLM | |
650 | 7 | |a Immunodominant Epitopes |2 NLM | |
700 | 1 | |a Chowdhury, Shirlie Roy |e verfasserin |4 aut | |
700 | 1 | |a Yadav, Sarla |e verfasserin |4 aut | |
700 | 1 | |a Kansana, Jitendra Singh |e verfasserin |4 aut | |
700 | 1 | |a Sinha, Sangita Kumari |e verfasserin |4 aut | |
700 | 1 | |a Das, Soon Jyoti |e verfasserin |4 aut | |
700 | 1 | |a Lodha, Rakesh |e verfasserin |4 aut | |
700 | 1 | |a Prakash, John Antony Jude |e verfasserin |4 aut | |
700 | 1 | |a Lamminimäki, Urpo |e verfasserin |4 aut | |
700 | 1 | |a Batra, Gaurav |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Journal of immunology (Baltimore, Md. : 1950) |d 1945 |g 209(2022), 10 vom: 15. Nov., Seite 2054-2067 |w (DE-627)NLM000018554 |x 1550-6606 |7 nnns |
773 | 1 | 8 | |g volume:209 |g year:2022 |g number:10 |g day:15 |g month:11 |g pages:2054-2067 |
856 | 4 | 0 | |u http://dx.doi.org/10.4049/jimmunol.2200251 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 209 |j 2022 |e 10 |b 15 |c 11 |h 2054-2067 |