Development of a Blocking ELISA for Detection of Serum Neutralizing Antibodies Against Duck Adenovirus Type 3 Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.3390/microorganisms13112607
In 2014, Duck Adenovirus type 3 (DAdV-3) emerged in Muscovy ducks and has since spread rapidly across China, causing significant economic losses to the duck industry. Given this situation, the development of reliable diagnostic tools is crucial for effective disease control. In this study, a neutralizing monoclonal antibody (mAb) 2F12 specific to DAdV-3 was generated, which showed a blocking rate of over 70% and a neutralization titer of up to 1:794. A blocking enzyme-linked immunosorbent assay (b-ELISA) was further developed based on mAb 2F12 to efficiently detect neutralizing antibodies against DAdV-3. The cut-off values of percent inhibition (PI) were set based on testing 84 negative duck serum samples, with a value below 16.79% (mean (X¯) + 2 standard deviations (SD)) for negative sera and over 21.62% (X¯ + 3SD) for positive sera. The b-ELISA exhibited a high specificity, reacting exclusively with DAdV-3 positive serum and showing no cross-reactivity with other representative positive sera tested. Additionally, the b-ELISA showed significantly higher sensitivity than the serum neutralization test (SNT), detecting antibodies 16-fold greater than the endpoint dilution of the SNT. The established b-ELISA, validated with 90 field serum samples from six duck farms, was well-suited for clinical detection of DAdV-3 antibodies and for monitoring post-vaccination antibody levels, representing a significant advancement in DAdV-3 detection and prevention.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/microorganisms13112607
- https://www.mdpi.com/2076-2607/13/11/2607/pdf?version=1763276129
- OA Status
- gold
- References
- 23
- OpenAlex ID
- https://openalex.org/W7105824228
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W7105824228Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/microorganisms13112607Digital Object Identifier
- Title
-
Development of a Blocking ELISA for Detection of Serum Neutralizing Antibodies Against Duck Adenovirus Type 3Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-11-16Full publication date if available
- Authors
-
Mei Tang, Xiaona Shi, Yifei Xiong, Chunxiu Yuan, Qinmin Zhu, Minfan Huang, Bangfeng Xu, Qinfang Liu, Xue Pan, Zhifei Zhang, Qiaoyang Teng, Minghao Yan, Dawei Yan, Zejun Li, Mei Tang, Xiaona Shi, Yifei Xiong, Chunxiu Yuan, Qinmin Zhu, Minfan Huang, Bangfeng Xu, Qinfang Liu, Xue Pan, Zhifei Zhang, Qiaoyang Teng, Minghao Yan, Dawei Yan, Zejun LiList of authors in order
- Landing page
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https://doi.org/10.3390/microorganisms13112607Publisher landing page
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https://www.mdpi.com/2076-2607/13/11/2607/pdf?version=1763276129Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2076-2607/13/11/2607/pdf?version=1763276129Direct OA link when available
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Neutralization, Antibody, Titer, Monoclonal antibody, Neutralizing antibody, Virology, Blocking antibody, Blocking (statistics), Biology, Immunology, Antibody titer, Specific antibody, Medicine, Molecular biology, Monoclonal, Serial dilution, Negative control, Incubation periodTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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23Number of works referenced by this work
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| abstract_inverted_index.testing | 102 |
| abstract_inverted_index.(DAdV-3) | 6 |
| abstract_inverted_index.antibody | 47, 203 |
| abstract_inverted_index.b-ELISA, | 180 |
| abstract_inverted_index.blocking | 58, 72 |
| abstract_inverted_index.clinical | 194 |
| abstract_inverted_index.control. | 40 |
| abstract_inverted_index.dilution | 174 |
| abstract_inverted_index.economic | 20 |
| abstract_inverted_index.endpoint | 173 |
| abstract_inverted_index.negative | 104, 121 |
| abstract_inverted_index.positive | 130, 142, 151 |
| abstract_inverted_index.reacting | 138 |
| abstract_inverted_index.reliable | 32 |
| abstract_inverted_index.samples, | 107 |
| abstract_inverted_index.specific | 50 |
| abstract_inverted_index.standard | 117 |
| abstract_inverted_index.(b-ELISA) | 76 |
| abstract_inverted_index.detecting | 167 |
| abstract_inverted_index.detection | 195, 211 |
| abstract_inverted_index.developed | 79 |
| abstract_inverted_index.effective | 38 |
| abstract_inverted_index.exhibited | 134 |
| abstract_inverted_index.industry. | 25 |
| abstract_inverted_index.validated | 181 |
| abstract_inverted_index.Adenovirus | 3 |
| abstract_inverted_index.antibodies | 88, 168, 198 |
| abstract_inverted_index.deviations | 118 |
| abstract_inverted_index.diagnostic | 33 |
| abstract_inverted_index.generated, | 54 |
| abstract_inverted_index.inhibition | 96 |
| abstract_inverted_index.monitoring | 201 |
| abstract_inverted_index.monoclonal | 46 |
| abstract_inverted_index.situation, | 28 |
| abstract_inverted_index.advancement | 208 |
| abstract_inverted_index.development | 30 |
| abstract_inverted_index.efficiently | 85 |
| abstract_inverted_index.established | 179 |
| abstract_inverted_index.exclusively | 139 |
| abstract_inverted_index.prevention. | 213 |
| abstract_inverted_index.sensitivity | 160 |
| abstract_inverted_index.significant | 19, 207 |
| abstract_inverted_index.well-suited | 192 |
| abstract_inverted_index.neutralizing | 45, 87 |
| abstract_inverted_index.representing | 205 |
| abstract_inverted_index.specificity, | 137 |
| abstract_inverted_index.Additionally, | 154 |
| abstract_inverted_index.enzyme-linked | 73 |
| abstract_inverted_index.immunosorbent | 74 |
| abstract_inverted_index.significantly | 158 |
| abstract_inverted_index.neutralization | 65, 164 |
| abstract_inverted_index.representative | 150 |
| abstract_inverted_index.cross-reactivity | 147 |
| abstract_inverted_index.post-vaccination | 202 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 28 |
| citation_normalized_percentile.value | 0.84737124 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |